From f8489d2f8bbf7ea433cc0dc886242bf76a283b4d Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 30 Jun 2026 14:59:54 +0300 Subject: [PATCH 01/53] refactor(exchange-oracle): split job_creation into per-task package Break the 3k-line src/handlers/job_creation.py into a package with one file per task builder: - builders/vision/{base,basic,boxes_from_points,skeletons_from_boxes}.py - builders/audio/transcription.py (stub, raises NotImplementedError) - factory.py (create_task), exceptions.py, utils.py __init__.py exports only create_task. Move DM_DATASET_FORMAT_MAPPING / DM_GT_DATASET_FORMAT_MAPPING to a new src/core/tasks/cvat_formats.py and repoint job_export.py and the webhook test's mock-patch paths to the new module locations. Co-Authored-By: Claude Opus 4.8 (1M context) --- .../src/core/tasks/cvat_formats.py | 22 + .../src/handlers/job_creation.py | 3060 ----------------- .../src/handlers/job_creation/__init__.py | 3 + .../job_creation/builders/__init__.py | 0 .../job_creation/builders/audio/__init__.py | 0 .../builders/audio/transcription.py | 14 + .../job_creation/builders/vision/__init__.py | 0 .../job_creation/builders/vision/base.py | 155 + .../job_creation/builders/vision/basic.py | 327 ++ .../builders/vision/boxes_from_points.py | 1142 ++++++ .../builders/vision/skeletons_from_boxes.py | 1404 ++++++++ .../src/handlers/job_creation/exceptions.py | 29 + .../src/handlers/job_creation/factory.py | 44 + .../src/handlers/job_creation/utils.py | 102 + .../src/handlers/job_export.py | 2 +- .../test_process_job_launcher_webhooks.py | 18 +- 16 files changed, 3254 insertions(+), 3068 deletions(-) create mode 100644 packages/examples/cvat/exchange-oracle/src/core/tasks/cvat_formats.py delete mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation/__init__.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/__init__.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/__init__.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/__init__.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/base.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation/exceptions.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/cvat_formats.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/cvat_formats.py new file mode 100644 index 0000000000..2c102a0e5d --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/cvat_formats.py @@ -0,0 +1,22 @@ +from __future__ import annotations + +from src.core.types import TaskTypes + +DM_DATASET_FORMAT_MAPPING = { + TaskTypes.image_label_binary: "cvat_images", + TaskTypes.image_points: "coco_person_keypoints", + TaskTypes.image_boxes: "coco_instances", + TaskTypes.image_polygons: "coco_instances", + TaskTypes.image_boxes_from_points: "coco_instances", + TaskTypes.image_skeletons_from_boxes: "coco_person_keypoints", +} + +DM_GT_DATASET_FORMAT_MAPPING = { + # GT uses the same format both for boxes and points + TaskTypes.image_label_binary: "cvat_images", + TaskTypes.image_points: "coco_instances", + TaskTypes.image_boxes: "coco_instances", + TaskTypes.image_polygons: "coco_instances", + TaskTypes.image_boxes_from_points: "coco_instances", + TaskTypes.image_skeletons_from_boxes: "coco_person_keypoints", +} diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation.py deleted file mode 100644 index 666f71e2a8..0000000000 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation.py +++ /dev/null @@ -1,3060 +0,0 @@ -from __future__ import annotations - -import math -import os -import random -import uuid -from abc import ABCMeta, abstractmethod -from concurrent.futures import Future, ThreadPoolExecutor -from contextlib import ExitStack -from dataclasses import dataclass, field -from itertools import chain, groupby -from math import ceil -from pathlib import Path -from queue import Queue -from tempfile import TemporaryDirectory -from time import sleep -from typing import TYPE_CHECKING, TypeVar, cast - -import cv2 -import datumaro as dm -import numpy as np -from datumaro.util import filter_dict, take_by -from datumaro.util.annotation_util import BboxCoords, bbox_iou, find_instances -from datumaro.util.image import IMAGE_EXTENSIONS, decode_image, encode_image - -import src.core.tasks.boxes_from_points as boxes_from_points_task -import src.core.tasks.points as points_task -import src.core.tasks.simple as simple_task -import src.core.tasks.skeletons_from_boxes as skeletons_from_boxes_task -import src.cvat.api_calls as cvat_api -import src.services.cloud as cloud_service -import src.services.cvat as db_service -from src.chain.escrow import get_escrow_manifest -from src.core.config import Config -from src.core.storage import compose_data_bucket_filename, compose_data_bucket_prefix -from src.core.types import TaskStatuses, TaskTypes -from src.db import SessionLocal -from src.log import ROOT_LOGGER_NAME -from src.models.cvat import Project -from src.services.cloud import CloudProviders, StorageClient -from src.services.cloud.utils import BucketAccessInfo -from src.utils.annotations import InstanceSegmentsToBbox, ProjectLabels, is_point_in_bbox -from src.utils.assignments import parse_manifest -from src.utils.logging import NullLogger, format_sequence, get_function_logger -from src.utils.roi_uploader import BufferedRoiImageUploader -from src.utils.zip_archive import write_dir_to_zip_archive - -if TYPE_CHECKING: - from collections.abc import Generator, Sequence - from logging import Logger - - from src.core.manifest import TaskManifest - -module_logger = f"{ROOT_LOGGER_NAME}.cron.cvat" - -LABEL_TYPE_MAPPING = { - TaskTypes.image_label_binary: cvat_api.LabelType.tag, - TaskTypes.image_points: cvat_api.LabelType.points, - TaskTypes.image_boxes: cvat_api.LabelType.rectangle, - TaskTypes.image_polygons: cvat_api.LabelType.polygon, - TaskTypes.image_boxes_from_points: cvat_api.LabelType.rectangle, - TaskTypes.image_skeletons_from_boxes: cvat_api.LabelType.points, -} - -DM_DATASET_FORMAT_MAPPING = { - TaskTypes.image_label_binary: "cvat_images", - TaskTypes.image_points: "coco_person_keypoints", - TaskTypes.image_boxes: "coco_instances", - TaskTypes.image_polygons: "coco_instances", - TaskTypes.image_boxes_from_points: "coco_instances", - TaskTypes.image_skeletons_from_boxes: "coco_person_keypoints", -} - -DM_GT_DATASET_FORMAT_MAPPING = { - # GT uses the same format both for boxes and points - TaskTypes.image_label_binary: "cvat_images", - TaskTypes.image_points: "coco_instances", - TaskTypes.image_boxes: "coco_instances", - TaskTypes.image_polygons: "coco_instances", - TaskTypes.image_boxes_from_points: "coco_instances", - TaskTypes.image_skeletons_from_boxes: "coco_person_keypoints", -} - - -class DatasetValidationError(Exception): - pass - - -class MismatchingAnnotations(DatasetValidationError): - pass - - -class TooFewSamples(DatasetValidationError): - pass - - -class InvalidCategories(DatasetValidationError): - pass - - -class InvalidImageInfo(DatasetValidationError): - pass - - -class InvalidCoordinates(DatasetValidationError): - pass - - -class InvisibleSkeletonError(DatasetValidationError): - pass - - -T = TypeVar("T") - - -class _Undefined: - def __bool__(self) -> bool: - return False - - -_unset = _Undefined() - -_MaybeUnset = T | _Undefined - - -@dataclass -class _ExcludedAnnotationInfo: - message: str - sample_id: str = field(kw_only=True) - sample_subset: str = field(kw_only=True) - - -@dataclass -class _ExcludedAnnotationsInfo: - messages: list[_ExcludedAnnotationInfo] = field(default_factory=list) - - excluded_count: int = 0 - "The number of excluded annotations. Can be different from len(messages)" - - total_count: int = 0 - - def add_message(self, message: str, *, sample_id: str, sample_subset: str): - self.messages.append( - _ExcludedAnnotationInfo( - message=message, sample_id=sample_id, sample_subset=sample_subset - ) - ) - - -class _TaskBuilderBase(metaclass=ABCMeta): - def __init__(self, manifest: TaskManifest, escrow_address: str, chain_id: int) -> None: - self.exit_stack = ExitStack() - self.manifest = manifest - self.escrow_address = escrow_address - self.chain_id = chain_id - - self.logger: Logger = NullLogger() - - self._oracle_data_bucket = BucketAccessInfo.parse_obj(Config.storage_config) - - @property - def _task_segment_size(self) -> int: - return self.manifest.annotation.job_size - - @property - def _job_val_frames_count(self) -> int: - return self.manifest.validation.val_size - - def __enter__(self): - return self - - def __exit__(self, *args, **kwargs): - self.close() - - def close(self): - self.exit_stack.close() - - def set_logger(self, logger: Logger): - # TODO: add escrow info into messages - self.logger = logger - return self - - @classmethod - def _make_cloud_storage_client(cls, bucket_info: BucketAccessInfo) -> StorageClient: - extra_args = {} - - if bucket_info.provider == CloudProviders.aws: - import boto3.session - - extra_args["config"] = boto3.session.Config( - max_pool_connections=Config.features.max_data_storage_connections - ) - elif bucket_info.provider == CloudProviders.gcs: - pass # TODO: test and add connections if needed - - return cloud_service.make_client(bucket_info, **extra_args) - - def _save_cvat_gt_dataset_to_oracle_bucket( # noqa: B027 - self, - gt_dataset_path: Path, - *, - file_suffix: str = "", - ) -> None: - # method saves gt annotations that will be uploaded to CVAT - # into oracle bucket - pass - - def _wait_task_creation(self, task_id: int) -> cvat_api.RequestStatus: - # TODO: add a timeout or - # save gt datasets in the oracle bucket and upload in track_task_creation() - while True: - task_status, _ = cvat_api.get_task_upload_status(task_id) - if task_status not in [cvat_api.RequestStatus.STARTED, cvat_api.RequestStatus.QUEUED]: - return task_status - - sleep(Config.cvat_config.task_creation_check_interval) - - def _setup_gt_job_for_cvat_task( - self, task_id: int, gt_dataset: dm.Dataset, *, dm_export_format: str = "coco" - ) -> None: - task_status = self._wait_task_creation(task_id) - if task_status != cvat_api.RequestStatus.FINISHED: - return # will be handled in state_trackers.py::track_task_creation - - dm_format_to_cvat_format = { - "coco": "COCO 1.0", - "cvat": "CVAT 1.1", - "datumaro": "Datumaro 1.0", - } - - with TemporaryDirectory() as tmp_dir: - export_dir = Path(tmp_dir) / "export" - gt_dataset.export(save_dir=str(export_dir), save_media=False, format=dm_export_format) - - annotations_archive_path = Path(tmp_dir) / "annotations.zip" - with annotations_archive_path.open("wb") as annotations_archive: - write_dir_to_zip_archive(export_dir, annotations_archive) - - if Config.is_development_mode(): - self._save_cvat_gt_dataset_to_oracle_bucket( - gt_dataset_path=annotations_archive_path, file_suffix=f"for_task_{task_id}" - ) - - self._setup_gt_job( - task_id, - annotations_archive_path, - format_name=dm_format_to_cvat_format[dm_export_format], - ) - - def _setup_gt_job(self, task_id: int, dataset_path: Path, format_name: str) -> None: - gt_job = cvat_api.get_gt_job(task_id) - cvat_api.upload_gt_annotations(gt_job.id, dataset_path, format_name=format_name) - cvat_api.finish_gt_job(gt_job.id) - - def _setup_quality_settings(self, task_id: int, **overrides) -> None: - settings = cvat_api.get_quality_control_settings(task_id) - - values = { - "target_metric_threshold": self.manifest.validation.min_quality, - "empty_is_annotated": True, - } - values.update(**overrides) - cvat_api.update_quality_control_settings(settings.id, **values) - - def _split_dataset_per_task( - self, - data_filenames: list[str], - *, - subset_size: int, - ) -> Generator[str]: - random.shuffle(data_filenames) - yield from take_by(data_filenames, subset_size) - - @abstractmethod - def build(self) -> None: ... - - -class SimpleTaskBuilder(_TaskBuilderBase): - """ - Handles task creation for the IMAGE_BOXES task type - """ - - def _upload_task_meta(self, gt_dataset: dm.Dataset): - layout = simple_task.TaskMetaLayout() - serializer = simple_task.TaskMetaSerializer() - - file_list = [] - file_list.append( - ( - serializer.serialize_gt_annotations(gt_dataset), - layout.GT_FILENAME, - ) - ) - - storage_client = self._make_cloud_storage_client(self._oracle_data_bucket) - for file_data, filename in file_list: - storage_client.create_file( - compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), - file_data, - ) - - def _parse_gt_dataset( - self, gt_file_data: bytes, *, add_prefix: str | None = None - ) -> dm.Dataset: - with TemporaryDirectory() as gt_temp_dir: - gt_filename = os.path.join(gt_temp_dir, "gt_annotations.json") - with open(gt_filename, "wb") as f: - f.write(gt_file_data) - - gt_dataset = dm.Dataset.import_from( - gt_filename, - format=DM_GT_DATASET_FORMAT_MAPPING[self.manifest.annotation.type], - ) - - if add_prefix: - gt_dataset = dm.Dataset.from_iterable( - [s.wrap(id=os.path.join(add_prefix, s.id)) for s in gt_dataset], - categories=gt_dataset.categories(), - media_type=gt_dataset.media_type(), - ) - - gt_dataset.init_cache() - - return gt_dataset - - def _get_gt_filenames( - self, gt_dataset: dm.Dataset, data_filenames: list[str], *, manifest: TaskManifest - ) -> list[str]: - gt_filenames = set(s.id + s.media.ext for s in gt_dataset) - known_data_filenames = set(data_filenames) - matched_gt_filenames = gt_filenames.intersection(known_data_filenames) - - if len(gt_filenames) != len(matched_gt_filenames): - missing_gt = gt_filenames - matched_gt_filenames - raise DatasetValidationError( - "Failed to find several validation samples in the dataset files: {}".format( - format_sequence(list(missing_gt)) - ) - ) - - if len(gt_filenames) < manifest.validation.val_size: - raise TooFewSamples( - f"Too few validation samples provided ({len(gt_filenames)}), " - f"at least {manifest.validation.val_size} required." - ) - - return list(matched_gt_filenames) - - def build(self): - manifest = self.manifest - escrow_address = self.escrow_address - chain_id = self.chain_id - - data_bucket = BucketAccessInfo.parse_obj(manifest.data.data_url) - gt_bucket = BucketAccessInfo.parse_obj(manifest.validation.gt_url) - - data_bucket_client = cloud_service.make_client(data_bucket) - gt_bucket_client = cloud_service.make_client(gt_bucket) - - # Task configuration creation - data_filenames = data_bucket_client.list_files(prefix=data_bucket.path) - data_filenames = filter_image_files(data_filenames) - - gt_file_data = gt_bucket_client.download_file(gt_bucket.path) - - # Validate and parse GT - gt_dataset = self._parse_gt_dataset(gt_file_data, add_prefix=data_bucket.path) - - # Create task configuration - gt_filenames = self._get_gt_filenames(gt_dataset, data_filenames, manifest=manifest) - data_to_be_annotated = [f for f in data_filenames if f not in set(gt_filenames)] - label_configuration = make_label_configuration(manifest) - - self._upload_task_meta(gt_dataset) - - # Register cloud storage on CVAT to pass user dataset - cloud_storage = cvat_api.create_cloudstorage(**_make_cvat_cloud_storage_params(data_bucket)) - - # Create a project - cvat_project = cvat_api.create_project( - escrow_address, - labels=label_configuration, - user_guide=manifest.annotation.user_guide, - ) - - # Setup webhooks for the project - cvat_webhook = cvat_api.create_cvat_webhook(cvat_project.id) - - with SessionLocal.begin() as session: - segment_size = self._task_segment_size - total_jobs = math.ceil(len(data_to_be_annotated) / segment_size) - - self.logger.info( - "Task creation for escrow '%s': will create %s assignments", - escrow_address, - total_jobs, - ) - db_service.create_escrow_creation( - session, escrow_address=escrow_address, chain_id=chain_id, total_jobs=total_jobs - ) - - project_id = db_service.create_project( - session, - cvat_project.id, - cloud_storage.id, - manifest.annotation.type, - escrow_address, - chain_id, - data_bucket.to_url(), - cvat_webhook_id=cvat_webhook.id, - ) - - db_service.get_project_by_id(session, project_id, for_update=True) # lock the row - db_service.add_project_images(session, cvat_project.id, data_filenames) - - for data_subset in self._split_dataset_per_task( - data_to_be_annotated, - subset_size=Config.cvat_config.max_jobs_per_task * segment_size, - ): - cvat_task = cvat_api.create_task( - cvat_project.id, escrow_address, segment_size=segment_size - ) - task_id = db_service.create_task( - session, cvat_task.id, cvat_project.id, TaskStatuses[cvat_task.status] - ) - db_service.get_task_by_id(session, task_id, for_update=True) # lock the row - - # The task is fully created once 'update:task' webhook is received. - cvat_api.put_task_data( - cvat_task.id, - cloud_storage.id, - filenames=data_subset, - validation_params={ - "gt_filenames": gt_filenames, # include whole GT dataset into each task - "gt_frames_per_job_count": self._job_val_frames_count, - }, - ) - - self._setup_gt_job_for_cvat_task(cvat_task.id, gt_dataset) - self._setup_quality_settings(cvat_task.id) - - db_service.create_data_upload(session, cvat_task.id) - db_service.touch(session, Project, [project_id]) - - -class PointsTaskBuilder(SimpleTaskBuilder): - def __init__(self, manifest: TaskManifest, escrow_address: str, chain_id: int) -> None: - super().__init__(manifest=manifest, escrow_address=escrow_address, chain_id=chain_id) - - self._mean_gt_bbox_radius_estimation: _MaybeUnset[float] = _unset - - def _parse_gt_dataset(self, gt_file_data, *, add_prefix=None): - gt_dataset = super()._parse_gt_dataset(gt_file_data, add_prefix=add_prefix) - - assert len(gt_dataset.categories()[dm.AnnotationType.label]) == 1 - label_id = 0 - - updated_gt_dataset = dm.Dataset(categories=gt_dataset.categories(), media_type=dm.Image) - - # Replace boxes with their center points - # Collect radius statistics - radiuses = [] - for gt_sample in gt_dataset: - image_size = gt_sample.media_as(dm.Image).size - image_half_diag = ((image_size[0] ** 2 + image_size[1] ** 2) ** 0.5) / 2 - - sample_points = [] - for gt_bbox in gt_sample.annotations: - if not isinstance(gt_bbox, dm.Bbox): - continue - - x, y, w, h = gt_bbox.get_bbox() - bbox_center = dm.Points([x + w / 2, y + h / 2], label=gt_bbox.label, id=gt_bbox.id) - - rel_int_bbox_radius = min(w, h) / 2 / image_half_diag - radiuses.append(rel_int_bbox_radius) - - sample_points.extend(bbox_center.points) - - # Join points into a single annotation for compatibility with CVAT capabilities - updated_anns = [] - if sample_points: - updated_anns.append(dm.Points(sample_points, label=label_id)) - - updated_gt_dataset.put(gt_sample.wrap(annotations=updated_anns)) - - self._mean_gt_bbox_radius_estimation = min(0.5, np.mean(radiuses).item()) - - return updated_gt_dataset - - def _upload_task_meta(self, gt_dataset: dm.Dataset): - layout = points_task.TaskMetaLayout() - serializer = points_task.TaskMetaSerializer() - - file_list = [] - file_list.append( - ( - serializer.serialize_gt_annotations(gt_dataset), - layout.GT_FILENAME, - ) - ) - - storage_client = self._make_cloud_storage_client(self._oracle_data_bucket) - for file_data, filename in file_list: - storage_client.create_file( - compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), - file_data, - ) - - def _setup_gt_job_for_cvat_task( - self, task_id: int, gt_dataset: dm.Dataset, *, dm_export_format: str = "datumaro" - ) -> None: - super()._setup_gt_job_for_cvat_task( - task_id=task_id, gt_dataset=gt_dataset, dm_export_format=dm_export_format - ) - - def _setup_quality_settings(self, task_id: int, **overrides) -> None: - assert self._mean_gt_bbox_radius_estimation is not _unset - - values = { - # We have at most 1 annotation per frame, so accuracy on each frame is either 0 or 1, - # regardless of the points count. For job accuracy we'll have: - # quality = mean frame accuracy = count of correct frames / validation frame count. - # If we set quality threshold from the manifest on this value, it can break quality - # requirements. - # Example: target quality is 80%, 6 frames, 1 has 20 points, 5 others have 1. - # Suppose the 5 frames with 1 point are annotated correctly and - # the one with 20 - is not annotated. The mean frame accuracy will be 5 / 6 ~ 83%, - # which is higher than the target quality, so the job will be accepted. - # The per-point mean (aka micro) accuracy will be 5 / (20 + 5) = 20%. - # - # Instead, we require that each frame matches with the required quality threshold, - # so the job accuracy is 1. This is a more strict requirement, from which - # follows that the job quality >= required. - # For each frame, as we have just 1 annotation, quality is computed as mean - # point quality on the frame with frame matching threshold. - # Point set accuracy is controlled by iou_threshold, - # so configure it with the requested quality value. - # - # TODO: consider adding a quality option to count points as separate, - # or implement and use the mean IoU as the target metric in CVAT. - "target_metric_threshold": 0.95, # some big number close to 1 - "iou_threshold": self.manifest.validation.min_quality, - "oks_sigma": self._mean_gt_bbox_radius_estimation, - "point_size_base": "image_size", - } - values.update(overrides) - super()._setup_quality_settings(task_id, **values) - - def build(self): - if len(self.manifest.annotation.labels) != 1: - # TODO: implement support for multiple labels - # Probably, need to split the whole task into projects per label - # for efficient annotation - raise NotImplementedError("Point annotation tasks can have only 1 label") - - return super().build() - - -class PolygonTaskBuilder(SimpleTaskBuilder): - def _setup_quality_settings(self, task_id: int, **overrides) -> None: - values = {"iou_threshold": Config.cvat_config.iou_threshold, **overrides} - super()._setup_quality_settings(task_id, **values) - - -class BoxesFromPointsTaskBuilder(_TaskBuilderBase): - def __init__(self, manifest: TaskManifest, escrow_address: str, chain_id: int) -> None: - super().__init__(manifest=manifest, escrow_address=escrow_address, chain_id=chain_id) - - self._input_gt_data: _MaybeUnset[bytes] = _unset - self._input_points_data: _MaybeUnset[bytes] = _unset - - self._data_filenames: _MaybeUnset[Sequence[str]] = _unset - self._input_gt_dataset: _MaybeUnset[dm.Dataset] = _unset - self._gt_dataset: _MaybeUnset[dm.Dataset] = _unset - self._gt_roi_dataset: _MaybeUnset[dm.Dataset] = _unset - self._points_dataset: _MaybeUnset[dm.Dataset] = _unset - - self._bbox_point_mapping: _MaybeUnset[boxes_from_points_task.BboxPointMapping] = _unset - "bbox_id -> point_id" - - self._roi_size_estimations: _MaybeUnset[dict[int, tuple[float, float]]] = _unset - "label_id -> (rel. w, rel. h)" - - self._rois: _MaybeUnset[boxes_from_points_task.RoiInfos] = _unset - self._roi_filenames: _MaybeUnset[boxes_from_points_task.RoiFilenames] = _unset - self._roi_filenames_to_be_annotated: _MaybeUnset[Sequence[str]] = _unset - self._gt_roi_filenames: _MaybeUnset[Sequence[str]] = _unset - - self._job_layout: _MaybeUnset[Sequence[Sequence[str]]] = _unset - "File lists per CVAT job" - - self._label_configuration: _MaybeUnset[Sequence[dict]] = _unset - - self._excluded_points_info: _MaybeUnset[_ExcludedAnnotationsInfo] = _unset - self._excluded_gt_info: _MaybeUnset[_ExcludedAnnotationsInfo] = _unset - - # Configuration / constants - # TODO: consider WebP if produced files are too big - self.roi_file_ext = ".png" # supposed to be lossless and reasonably compressing - "File extension for RoI images, with leading dot (.) included" - - self.list_display_threshold = 5 - "The maximum number of rendered list items in a message" - - self.roi_size_mult = 1.1 - "Additional point ROI size multiplier" - - self.min_roi_size = ( - Config.core_config.min_roi_size_w, - Config.core_config.min_roi_size_h, - ) - "Minimum absolute ROI size, (w, h)" - - self.points_format = "coco_person_keypoints" - - self.embed_point_in_roi_image = True - "Put a small point into the extracted RoI images for the original point" - - self.embedded_point_radius = 15 - self.min_embedded_point_radius_percent = 0.005 - self.max_embedded_point_radius_percent = 0.01 - self.embedded_point_color = (0, 255, 255) - self.roi_background_color = (245, 240, 242) # BGR - CVAT background color - - self.oracle_data_bucket = BucketAccessInfo.parse_obj(Config.storage_config) - - self.min_class_samples_for_roi_estimation = 25 - - self.max_class_roi_image_side_threshold = 0.5 - """ - The maximum allowed percent of the image for the estimated class RoI, - before the default RoI is used. Too big RoI estimations reduce the overall - prediction quality, making them unreliable. - """ - - self.max_discarded_threshold = 0.5 - """ - The maximum allowed percent of discarded - GT boxes, points, or samples for successful job launch - """ - - # TODO: probably, need to also add an absolute number of minimum GT RoIs - - def _download_input_data(self): - data_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) - gt_bucket = BucketAccessInfo.parse_obj(self.manifest.validation.gt_url) - points_bucket = BucketAccessInfo.parse_obj(self.manifest.data.points_url) - - data_storage_client = self._make_cloud_storage_client(data_bucket) - gt_storage_client = self._make_cloud_storage_client(gt_bucket) - points_storage_client = self._make_cloud_storage_client(points_bucket) - - data_filenames = data_storage_client.list_files(prefix=data_bucket.path) - data_filenames = strip_bucket_prefix(data_filenames, prefix=data_bucket.path) - self._data_filenames = filter_image_files(data_filenames) - - self._input_gt_data = gt_storage_client.download_file(gt_bucket.path) - self._input_gt_filename = Path(gt_bucket.path).name - - self._input_points_data = points_storage_client.download_file(points_bucket.path) - - def _parse_dataset(self, annotation_file_data: bytes, dataset_format: str) -> dm.Dataset: - temp_dir = self.exit_stack.enter_context(TemporaryDirectory()) - - annotation_filename = os.path.join(temp_dir, "annotations.json") - with open(annotation_filename, "wb") as f: - f.write(annotation_file_data) - - return dm.Dataset.import_from(annotation_filename, format=dataset_format) - - def _parse_gt(self): - assert self._input_gt_data is not _unset - - self._input_gt_dataset = self._parse_dataset( - self._input_gt_data, - dataset_format=DM_GT_DATASET_FORMAT_MAPPING[self.manifest.annotation.type], - ) - - def _parse_points(self): - assert self._input_points_data is not _unset - - self._points_dataset = self._parse_dataset( - self._input_points_data, dataset_format=self.points_format - ) - - def _validate_gt_labels(self): - gt_labels = set( - label.name - for label in self._input_gt_dataset.categories()[dm.AnnotationType.label] - if not label.parent - ) - manifest_labels = set(label.name for label in self.manifest.annotation.labels) - if gt_labels - manifest_labels: - raise DatasetValidationError( - "GT labels do not match job labels. Unknown labels: {}".format( - format_sequence(list(gt_labels - manifest_labels)), - ) - ) - - self._input_gt_dataset.transform( - ProjectLabels, dst_labels=[label.name for label in self.manifest.annotation.labels] - ) - self._input_gt_dataset.init_cache() - - def _validate_gt_filenames(self): - gt_filenames = set(s.id + s.media.ext for s in self._input_gt_dataset) - - known_data_filenames = set(self._data_filenames) - matched_gt_filenames = gt_filenames.intersection(known_data_filenames) - - if len(gt_filenames) != len(matched_gt_filenames): - extra_gt = list(map(os.path.basename, gt_filenames - matched_gt_filenames)) - - raise MismatchingAnnotations( - "Failed to find several validation samples in the dataset files: {}".format( - format_sequence(extra_gt) - ) - ) - - if len(gt_filenames) < self._job_val_frames_count: - raise TooFewSamples( - f"Too few validation samples provided ({len(gt_filenames)}), " - f"at least {self._job_val_frames_count} required." - ) - - def _validate_gt_annotations(self): - label_cat: dm.LabelCategories = self._input_gt_dataset.categories()[dm.AnnotationType.label] - - excluded_gt_info = _ExcludedAnnotationsInfo() - excluded_samples = set() - visited_ids = set() - for gt_sample in self._input_gt_dataset: - # Could fail on this as well - img_h, img_w = gt_sample.media_as(dm.Image).size - - sample_boxes = [a for a in gt_sample.annotations if isinstance(a, dm.Bbox)] - valid_boxes = [] - for bbox in sample_boxes: - if not ( - (0 <= int(bbox.x) < int(bbox.x + bbox.w) <= img_w) - and (0 <= int(bbox.y) < int(bbox.y + bbox.h) <= img_h) - ): - excluded_gt_info.add_message( - "Sample '{}': GT bbox #{} ({}) - invalid coordinates".format( - gt_sample.id, bbox.id, label_cat[bbox.label].name - ), - sample_id=gt_sample.id, - sample_subset=gt_sample.subset, - ) - continue - - if bbox.id in visited_ids: - excluded_gt_info.add_message( - "Sample '{}': GT bbox #{} ({}) skipped - repeated annotation id {}".format( - gt_sample.id, bbox.id, label_cat[bbox.label].name, bbox.id - ), - sample_id=gt_sample.id, - sample_subset=gt_sample.subset, - ) - continue - - valid_boxes.append(bbox) - - excluded_gt_info.excluded_count += len(sample_boxes) - len(valid_boxes) - excluded_gt_info.total_count += len(sample_boxes) - - if len(valid_boxes) != len(sample_boxes): - if not valid_boxes: - excluded_samples.add((gt_sample.id, gt_sample.subset)) - else: - self._input_gt_dataset.put(gt_sample.wrap(annotations=valid_boxes)) - - for excluded_sample in excluded_samples: - self._input_gt_dataset.remove(*excluded_sample) - - if excluded_gt_info.excluded_count: - self.logger.warning( - "Some GT boxes were excluded due to the errors found: \n{}".format( - format_sequence([e.message for e in excluded_gt_info.messages], separator="\n") - ) - ) - - if excluded_gt_info.excluded_count > ceil( - excluded_gt_info.total_count * self.max_discarded_threshold - ): - raise TooFewSamples( - "Too many GT boxes discarded, canceling job creation. Errors: {}".format( - format_sequence( - [error_info.message for error_info in excluded_gt_info.messages] - ) - ) - ) - - self._excluded_gt_info = excluded_gt_info - - def _validate_gt(self): - assert self._data_filenames is not _unset - assert self._input_gt_dataset is not _unset - - self._validate_gt_filenames() - self._validate_gt_labels() - self._validate_gt_annotations() - - def _validate_points_categories(self): - invalid_point_categories_messages = [] - points_dataset_categories = self._points_dataset.categories() - points_dataset_label_cat: dm.LabelCategories = points_dataset_categories[ - dm.AnnotationType.label - ] - for category_id, category in points_dataset_categories[ - dm.AnnotationType.points - ].items.items(): - if len(category.labels) != 1: - invalid_point_categories_messages.append( - "Category '{}' (#{}): {}".format( - points_dataset_label_cat[category_id].name, - category_id, - f"too many skeleton points ({len(category.labels)}), only 1 expected", - ) - ) - - if invalid_point_categories_messages: - raise InvalidCategories( - "Invalid categories in the input point annotations: {}".format( - format_sequence(invalid_point_categories_messages, separator="; ") - ) - ) - - points_labels = set(label.name for label in points_dataset_label_cat if not label.parent) - manifest_labels = set(label.name for label in self.manifest.annotation.labels) - if manifest_labels != points_labels: - raise DatasetValidationError("Point labels do not match job labels") - - self._points_dataset.transform( - ProjectLabels, dst_labels=[label.name for label in self.manifest.annotation.labels] - ) - self._points_dataset.init_cache() - - def _validate_points_filenames(self): - points_filenames = set(sample.id + sample.media.ext for sample in self._points_dataset) - - known_data_filenames = set(self._data_filenames) - matched_points_filenames = points_filenames.intersection(known_data_filenames) - - if len(matched_points_filenames) != len(points_filenames): - extra_point_samples = list( - map(os.path.basename, points_filenames - matched_points_filenames) - ) - - raise MismatchingAnnotations( - "Failed to find several samples in the dataset files: {}".format( - format_sequence(extra_point_samples), - ) - ) - - def _validate_points_annotations(self): - def _validate_skeleton(skeleton: dm.Skeleton, *, sample_bbox: dm.Bbox): - if skeleton.id in visited_ids: - raise DatasetValidationError(f"repeated annotation id ({skeleton.id})") - - if len(skeleton.elements) != 1: - raise DatasetValidationError( - f"invalid points count ({len(skeleton.elements)}), expected 1" - ) - - point = skeleton.elements[0] - px, py = point.points[:2] - if not is_point_in_bbox(px, py, sample_bbox): - raise InvalidCoordinates("coordinates are outside image") - - label_cat: dm.LabelCategories = self._points_dataset.categories()[dm.AnnotationType.label] - - excluded_points_info = _ExcludedAnnotationsInfo() - excluded_samples = set() - visited_ids = set() - for sample in self._points_dataset: - # Could fail on this as well - image_h, image_w = sample.image.size - sample_bbox = dm.Bbox(0, 0, w=image_w, h=image_h) - - sample_skeletons = [a for a in sample.annotations if isinstance(a, dm.Skeleton)] - valid_skeletons = [] - for skeleton in sample_skeletons: - # Here 1 skeleton describes 1 point - try: - _validate_skeleton(skeleton, sample_bbox=sample_bbox) - except InvalidCoordinates as error: - excluded_points_info.add_message( - "Sample '{}': point #{} ({}) skipped - {}".format( - sample.id, skeleton.id, label_cat[skeleton.label].name, error - ), - sample_id=sample.id, - sample_subset=sample.subset, - ) - continue - except DatasetValidationError as error: - excluded_points_info.add_message( - "Sample '{}': point #{} ({}) - {}".format( - sample.id, skeleton.id, label_cat[skeleton.label].name, error - ), - sample_id=sample.id, - sample_subset=sample.subset, - ) - continue - - valid_skeletons.append(skeleton) - - excluded_points_info.excluded_count += len(sample_skeletons) - len(valid_skeletons) - excluded_points_info.total_count += len(sample_skeletons) - - if len(valid_skeletons) != len(sample_skeletons): - if not valid_skeletons: - excluded_samples.add((sample.id, sample.subset)) - else: - self._points_dataset.put(sample.wrap(annotations=valid_skeletons)) - - for excluded_sample in excluded_samples: - self._points_dataset.remove(*excluded_sample) - - if excluded_points_info.excluded_count: - self.logger.warning( - "Some points were excluded due to the errors found: \n{}".format( - format_sequence( - [e.message for e in excluded_points_info.messages], separator="\n" - ) - ) - ) - - if excluded_points_info.excluded_count > ceil( - excluded_points_info.total_count * self.max_discarded_threshold - ): - raise TooFewSamples( - "Too many points discarded, canceling job creation. Errors: {}".format( - format_sequence( - [error_info.message for error_info in excluded_points_info.messages] - ) - ) - ) - - self._excluded_points_info = excluded_points_info - - def _validate_points(self): - assert self._data_filenames is not _unset - assert self._points_dataset is not _unset - - self._validate_points_categories() - self._validate_points_filenames() - self._validate_points_annotations() - - @staticmethod - def _is_point_in_bbox(px: float, py: float, bbox: dm.Bbox) -> bool: - return is_point_in_bbox(px, py, bbox) - - def _prepare_gt(self): - def _find_unambiguous_matches( - input_skeletons: list[dm.Skeleton], - gt_boxes: list[dm.Bbox], - ) -> list[tuple[dm.Skeleton, dm.Bbox]]: - matches = [ - [ - (input_skeleton.label == gt_bbox.label) - and ( - self._is_point_in_bbox( - *input_skeleton.elements[0].points[0:2], bbox=gt_bbox - ) - ) - for gt_bbox in gt_boxes - ] - for input_skeleton in input_skeletons - ] - - ambiguous_boxes: list[int] = set() - ambiguous_skeletons: list[int] = set() - for skeleton_idx, input_skeleton in enumerate(input_skeletons): - matched_boxes: list[dm.Bbox] = [ - gt_boxes[j] for j in range(len(gt_boxes)) if matches[skeleton_idx][j] - ] - - if len(matched_boxes) > 1: - # Handle ambiguous matches - excluded_points_info.add_message( - "Sample '{}': point #{} ({}) and overlapping boxes skipped - " - "too many matching boxes ({}) found".format( - points_sample.id, - input_skeleton.id, - points_label_cat[input_skeleton.label].name, - format_sequence([f"#{a.id}" for a in matched_boxes]), - ), - sample_id=points_sample.id, - sample_subset=points_sample.subset, - ) - # not an error, should not be counted as excluded for an error - ambiguous_skeletons.add(input_skeleton.id) - ambiguous_boxes.update(a.id for a in matched_boxes) - continue - - for gt_idx, gt_bbox in enumerate(gt_boxes): - matched_skeletons: list[dm.Skeleton] = [ - input_skeletons[i] for i in range(len(input_skeletons)) if matches[i][gt_idx] - ] - - if len(matched_skeletons) > 1: - # Handle ambiguous matches - excluded_gt_info.add_message( - "Sample '{}': GT bbox #{} ({}) and overlapping points skipped - " - "too many matching points ({}) found".format( - gt_sample.id, - gt_bbox.id, - gt_label_cat[gt_bbox.label].name, - format_sequence([f"#{a.id}" for a in matched_skeletons]), - ), - sample_id=gt_sample.id, - sample_subset=gt_sample.subset, - ) - # not an error, should not be counted as excluded for an error - ambiguous_boxes.add(gt_bbox.id) - ambiguous_skeletons.update(a.id for a in matched_skeletons) - continue - if not matched_skeletons: - # Handle unmatched skeletons - excluded_gt_info.add_message( - "Sample '{}': GT bbox #{} ({}) skipped - " - "no matching points found".format( - gt_sample.id, - gt_bbox.id, - gt_label_cat[gt_bbox.label].name, - ), - sample_id=gt_sample.id, - sample_subset=gt_sample.subset, - ) - excluded_gt_info.excluded_count += 1 # an error - continue - - unambiguous_matches: list[tuple[dm.Bbox, dm.Skeleton]] = [] - for skeleton_idx, input_skeleton in enumerate(input_skeletons): - if input_skeleton.id in ambiguous_skeletons: - continue - - matched_bbox = None - for gt_idx, gt_bbox in enumerate(gt_boxes): - if gt_bbox.id in ambiguous_boxes: - continue - - if matches[skeleton_idx][gt_idx]: - matched_bbox = gt_bbox - break - - if matched_bbox: - unambiguous_matches.append((input_skeleton, matched_bbox)) - - return unambiguous_matches - - def _find_good_gt_boxes( - input_skeletons: list[dm.Skeleton], - gt_boxes: list[dm.Bbox], - ) -> list[dm.Bbox]: - matches = _find_unambiguous_matches(input_skeletons, gt_boxes) - - matched_boxes = [] - for input_skeleton, gt_bbox in matches: - gt_count_per_class[gt_bbox.label] = gt_count_per_class.get(gt_bbox.label, 0) + 1 - - matched_boxes.append(gt_bbox) - bbox_point_mapping[gt_bbox.id] = input_skeleton.id - - return matched_boxes - - assert self._data_filenames is not _unset - assert self._points_dataset is not _unset - assert self._input_gt_dataset is not _unset - assert [ - label.name for label in self._input_gt_dataset.categories()[dm.AnnotationType.label] - ] == [label.name for label in self.manifest.annotation.labels] - assert [ - label.name - for label in self._points_dataset.categories()[dm.AnnotationType.label] - if not label.parent - ] == [label.name for label in self.manifest.annotation.labels] - - points_label_cat: dm.LabelCategories = self._points_dataset.categories()[ - dm.AnnotationType.label - ] - gt_label_cat: dm.LabelCategories = self._input_gt_dataset.categories()[ - dm.AnnotationType.label - ] - - updated_gt_dataset = dm.Dataset( - categories=self._input_gt_dataset.categories(), media_type=dm.Image - ) - - excluded_points_info = _ExcludedAnnotationsInfo() # local for the function - excluded_gt_info = self._excluded_gt_info - gt_count_per_class = {} - bbox_point_mapping = {} # bbox id -> point id - for gt_sample in self._input_gt_dataset: - points_sample = self._points_dataset.get(gt_sample.id, gt_sample.subset) - assert points_sample - - gt_boxes = [a for a in gt_sample.annotations if isinstance(a, dm.Bbox)] - input_skeletons = [a for a in points_sample.annotations if isinstance(a, dm.Skeleton)] - - # Samples without boxes are allowed, so we just skip them without an error - if not gt_boxes: - continue - - matched_boxes = _find_good_gt_boxes(input_skeletons, gt_boxes) - if not matched_boxes: - continue - - updated_gt_dataset.put(gt_sample.wrap(annotations=matched_boxes)) - - if excluded_points_info.messages: - self.logger.warning( - "Some points were excluded from GT due to the problems found: \n{}".format( - format_sequence( - [e.message for e in excluded_points_info.messages], separator="\n" - ) - ) - ) - - if excluded_gt_info.messages: - self.logger.warning( - "Some GT annotations were excluded due to the problems found: \n{}".format( - format_sequence([e.message for e in excluded_gt_info.messages], separator="\n") - ) - ) - - if excluded_gt_info.excluded_count > ceil( - excluded_gt_info.total_count * self.max_discarded_threshold - ): - raise DatasetValidationError( - "Too many GT boxes discarded ({} out of {}). " - "Please make sure each GT box matches exactly 1 point".format( - excluded_gt_info.total_count - len(bbox_point_mapping), - excluded_gt_info.total_count, - ) - ) - - self.logger.info( - "GT counts per class to be used for validation: {}".format( - format_sequence( - [ - f"{gt_label_cat[label_id].name}: {count}" - for label_id, count in gt_count_per_class.items() - ] - ) - ) - ) - - gt_labels_without_anns = [ - gt_label_cat[label_id] - for label_id, label_count in gt_count_per_class.items() - if not label_count - ] - if gt_labels_without_anns: - raise DatasetValidationError( - "No matching GT boxes/points annotations found for some classes: {}".format( - format_sequence(gt_labels_without_anns) - ) - ) - - self._gt_dataset = updated_gt_dataset - self._bbox_point_mapping = bbox_point_mapping - - def _estimate_roi_sizes(self): - assert self._gt_dataset is not _unset - assert [label.name for label in self._gt_dataset.categories()[dm.AnnotationType.label]] == [ - label.name for label in self.manifest.annotation.labels - ] - - bbox_sizes_per_label = {} - for sample in self._gt_dataset: - image_h, image_w = self._points_dataset.get(sample.id, sample.subset).image.size - - for gt_bbox in sample.annotations: - gt_bbox = cast(dm.Bbox, gt_bbox) - bbox_sizes_per_label.setdefault(gt_bbox.label, []).append( - ( - gt_bbox.w / image_w, - gt_bbox.h / image_h, - ) - ) - - # Consider bbox sides as normally-distributed random variables, estimate max - # For big enough datasets, it should be reasonable approximation - # (due to the central limit theorem). This can work bad for small datasets, - # so we only do this if there are enough class samples. - classes_with_default_roi: dict[int, str] = {} # label_id -> reason - roi_size_estimations_per_label = {} # label id -> (w, h) - default_roi_size = (2, 2) # 2 will yield just the image size after halving - for label_id, label_sizes in bbox_sizes_per_label.items(): - if len(label_sizes) < self.min_class_samples_for_roi_estimation: - estimated_size = default_roi_size - classes_with_default_roi[label_id] = "too few GT provided" - else: - max_bbox = np.max(label_sizes, axis=0) - if np.any(max_bbox > self.max_class_roi_image_side_threshold): - estimated_size = default_roi_size - classes_with_default_roi[label_id] = "estimated RoI is unreliable" - else: - estimated_size = 2 * max_bbox * self.roi_size_mult - - roi_size_estimations_per_label[label_id] = estimated_size - - if classes_with_default_roi: - label_cat = self._gt_dataset.categories()[dm.AnnotationType.label] - labels_by_reason = { - g_reason: [v[0] for v in g_items] - for g_reason, g_items in groupby( - sorted(classes_with_default_roi.items(), key=lambda v: v[1]), key=lambda v: v[1] - ) - } - self.logger.warning( - "Some classes will use the full image instead of RoI - {}".format( - "; ".join( - "{}: {}".format( - g_reason, - format_sequence([label_cat[label_id].name for label_id in g_labels]), - ) - for g_reason, g_labels in labels_by_reason.items() - ) - ) - ) - - self._roi_size_estimations = roi_size_estimations_per_label - - def _prepare_roi_info(self): - assert self._gt_dataset is not _unset - assert self._roi_size_estimations is not _unset - assert self._points_dataset is not _unset - - rois: list[boxes_from_points_task.RoiInfo] = [] - for sample in self._points_dataset: - for skeleton in sample.annotations: - if not isinstance(skeleton, dm.Skeleton): - continue - - point_label_id = skeleton.label - original_point_x, original_point_y = skeleton.elements[0].points[:2] - original_point_x = int(original_point_x) - original_point_y = int(original_point_y) - - image_h, image_w = sample.image.size - - roi_est_w, roi_est_h = self._roi_size_estimations[point_label_id] - roi_est_w *= image_w - roi_est_h *= image_h - roi_est_w = max(roi_est_w, self.min_roi_size[0]) - roi_est_h = max(roi_est_h, self.min_roi_size[1]) - - roi_left = max(0, original_point_x - int(roi_est_w / 2)) - roi_top = max(0, original_point_y - int(roi_est_h / 2)) - roi_right = min(image_w, original_point_x + ceil(roi_est_w / 2)) - roi_bottom = min(image_h, original_point_y + ceil(roi_est_h / 2)) - - roi_w = roi_right - roi_left - roi_h = roi_bottom - roi_top - - new_point_x = original_point_x - roi_left - new_point_y = original_point_y - roi_top - - rois.append( - boxes_from_points_task.RoiInfo( - point_id=skeleton.id, - original_image_key=sample.attributes["id"], - point_x=new_point_x, - point_y=new_point_y, - roi_x=roi_left, - roi_y=roi_top, - roi_w=roi_w, - roi_h=roi_h, - ) - ) - - self._rois = rois - - def _mangle_filenames(self): - """ - Mangle filenames in the dataset to make them less recognizable by annotators - and hide private dataset info - """ - assert self._rois is not _unset - - # TODO: maybe add different names for the same GT images in - # different jobs to make them even less recognizable - self._roi_filenames = { - roi.point_id: str(uuid.uuid4()) + self.roi_file_ext for roi in self._rois - } - - def _prepare_job_layout(self): - assert self._rois is not _unset - assert self._bbox_point_mapping is not _unset - assert self._input_gt_dataset is not _unset - - # This list can be different from what is selected for validation - input_gt_filenames = set(sample.media.path for sample in self._input_gt_dataset) - original_image_id_to_filename = { - sample.attributes["id"]: sample.media.path for sample in self._points_dataset - } - point_id_to_original_image_id = {roi.point_id: roi.original_image_key for roi in self._rois} - - gt_point_ids = set(self._bbox_point_mapping.values()) - self._gt_roi_filenames = [self._roi_filenames[point_id] for point_id in gt_point_ids] - self._roi_filenames_to_be_annotated = [ - fn - for point_id, fn in self._roi_filenames.items() - if point_id not in gt_point_ids - if original_image_id_to_filename[point_id_to_original_image_id[point_id]] - not in input_gt_filenames - ] - - def _prepare_label_configuration(self): - self._label_configuration = make_label_configuration(self.manifest) - - def _upload_task_meta(self): - layout = boxes_from_points_task.TaskMetaLayout() - serializer = boxes_from_points_task.TaskMetaSerializer() - - file_list = [] - file_list.append((self._input_points_data, layout.POINTS_FILENAME)) - file_list.append( - ( - serializer.serialize_gt_annotations(self._gt_dataset), - layout.GT_FILENAME, - ) - ) - file_list.append( - ( - serializer.serialize_bbox_point_mapping(self._bbox_point_mapping), - layout.BBOX_POINT_MAPPING_FILENAME, - ) - ) - file_list.append((serializer.serialize_roi_info(self._rois), layout.ROI_INFO_FILENAME)) - file_list.append( - (serializer.serialize_roi_filenames(self._roi_filenames), layout.ROI_FILENAMES_FILENAME) - ) - - storage_client = self._make_cloud_storage_client(self.oracle_data_bucket) - for file_data, filename in file_list: - storage_client.create_file( - compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), - file_data, - ) - - def _extract_roi( - self, source_pixels: np.ndarray, roi_info: boxes_from_points_task.RoiInfo - ) -> np.ndarray: - img_h, img_w, *_ = source_pixels.shape - - roi_pixels = source_pixels[ - max(0, roi_info.roi_y) : min(img_h, roi_info.roi_y + roi_info.roi_h), - max(0, roi_info.roi_x) : min(img_w, roi_info.roi_x + roi_info.roi_w), - ] - - if not ( - (0 <= roi_info.roi_x < roi_info.roi_x + roi_info.roi_w < img_w) - and (0 <= roi_info.roi_y < roi_info.roi_y + roi_info.roi_h < img_h) - ): - # Coords can be outside the original image - # In this case a border should be added to RoI, so that the image was centered on bbox - wrapped_roi_pixels = np.zeros((roi_info.roi_h, roi_info.roi_w, 3), dtype=np.float32) - wrapped_roi_pixels[:, :] = self.roi_background_color - - dst_y = max(-roi_info.roi_y, 0) - dst_x = max(-roi_info.roi_x, 0) - wrapped_roi_pixels[ - dst_y : dst_y + roi_pixels.shape[0], - dst_x : dst_x + roi_pixels.shape[1], - ] = roi_pixels - - roi_pixels = wrapped_roi_pixels - else: - roi_pixels = roi_pixels.copy() - - return roi_pixels - - def _draw_roi_point( - self, roi_pixels: np.ndarray, roi_info: boxes_from_points_task.RoiInfo - ) -> np.ndarray: - center = (roi_info.point_x, roi_info.point_y) - - roi_r = (roi_info.roi_w**2 + roi_info.roi_h**2) ** 0.5 / 2 - point_size = int( - min( - self.max_embedded_point_radius_percent * roi_r, - max(self.embedded_point_radius, self.min_embedded_point_radius_percent * roi_r), - ) - ) - - roi_pixels = roi_pixels.copy() - roi_pixels = cv2.circle( - roi_pixels, - center, - point_size + 1, - (255, 255, 255), - cv2.FILLED, - ) - return cv2.circle( - roi_pixels, - center, - point_size, - self.embedded_point_color, - cv2.FILLED, - ) - - def _extract_and_upload_rois(self): - assert self._points_dataset is not _unset - assert self._rois is not _unset - assert self._data_filenames is not _unset - assert self._roi_filenames is not _unset - - src_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) - src_prefix = src_bucket.path - dst_bucket = self.oracle_data_bucket - - src_client = self._make_cloud_storage_client(src_bucket) - dst_client = self._make_cloud_storage_client(dst_bucket) - - image_id_to_filename = { - sample.attributes["id"]: sample.image.path for sample in self._points_dataset - } - - filename_to_sample = {sample.image.path: sample for sample in self._points_dataset} - - def _roi_key(e): - return e.original_image_key - - rois_by_image: dict[str, Sequence[boxes_from_points_task.RoiInfo]] = { - image_id_to_filename[image_id]: list(g) - for image_id, g in groupby(sorted(self._rois, key=_roi_key), key=_roi_key) - } - - def process_file(filename: str, image_pixels: np.ndarray): - image_roi_infos = rois_by_image.get(filename, []) - if not image_roi_infos: - return - - sample = filename_to_sample[filename] - if tuple(sample.image.size) != tuple(image_pixels.shape[:2]): - # TODO: maybe rois should be regenerated instead - # Option 2: accumulate errors, fail when some threshold is reached - # Option 3: add special handling for cases when image is only rotated (exif etc.) - raise InvalidImageInfo( - f"Sample '{filename}': invalid size provided in the point annotations" - ) - - image_rois = {} - for roi_info in image_roi_infos: - roi_pixels = self._extract_roi(image_pixels, roi_info) - - if self.embed_point_in_roi_image: - roi_pixels = self._draw_roi_point(roi_pixels, roi_info) - - roi_filename = self._roi_filenames[roi_info.point_id] - roi_bytes = encode_image(roi_pixels, os.path.splitext(roi_filename)[-1]) - - image_rois[roi_filename] = roi_bytes - - for roi_filename, roi_bytes in image_rois.items(): - dst_client.create_file( - compose_data_bucket_filename(self.escrow_address, self.chain_id, roi_filename), - roi_bytes, - ) - - def download_and_decode(key: str): - image_bytes = src_client.download_file(key) - return decode_image(image_bytes) - - pool_size = Config.features.max_data_storage_connections - download_queue_size = 4 * pool_size - download_queue = Queue[tuple[str, Future[np.ndarray]]](download_queue_size) - roi_uploader = BufferedRoiImageUploader(queue=download_queue) - with ThreadPoolExecutor(pool_size) as pool: - - def put_callback(filename: str): - image_roi_infos = rois_by_image.get(filename, []) - if not image_roi_infos: - return None - - return ( - filename, - pool.submit(download_and_decode, os.path.join(src_prefix, filename)), - ) - - def process_callback(result: tuple[str, Future]): - filename, task = result - process_file(filename, task.result()) - - roi_uploader.process_all( - self._data_filenames, put_callback=put_callback, process_callback=process_callback - ) - - def _prepare_gt_roi_dataset(self): - self._gt_roi_dataset = dm.Dataset( - categories=self._gt_dataset.categories(), media_type=dm.Image - ) - - roi_info_by_point_id: dict[int, skeletons_from_boxes_task.RoiInfo] = { - roi_info.point_id: roi_info for roi_info in self._rois - } - - for sample in self._gt_dataset: - for gt_bbox in sample.annotations: - assert isinstance(gt_bbox, dm.Bbox) - - point_id = self._bbox_point_mapping[gt_bbox.id] - gt_roi_filename = compose_data_bucket_filename( - self.escrow_address, self.chain_id, self._roi_filenames[point_id] - ) - - # update gt bbox coordinates to match RoI shift - roi_info = roi_info_by_point_id[point_id] - new_x = gt_bbox.points[0] - roi_info.roi_x - new_y = gt_bbox.points[1] - roi_info.roi_y - - self._gt_roi_dataset.put( - sample.wrap( - id=os.path.splitext(gt_roi_filename)[0], - annotations=[gt_bbox.wrap(x=new_x, y=new_y)], - media=dm.Image(path=gt_roi_filename, size=sample.media_as(dm.Image).size), - attributes=filter_dict(sample.attributes, exclude_keys=["id"]), - ) - ) - - assert len(self._gt_roi_dataset) == len(self._gt_roi_filenames) - - def _create_on_cvat(self): - assert self._roi_filenames_to_be_annotated is not _unset - assert self._gt_roi_filenames is not _unset - assert self._label_configuration is not _unset - assert self._gt_roi_dataset is not _unset - - oracle_bucket = self.oracle_data_bucket - - # Register cloud storage on CVAT to pass user dataset - cvat_cloud_storage = cvat_api.create_cloudstorage( - **_make_cvat_cloud_storage_params(oracle_bucket) - ) - - # Create a project - cvat_project = cvat_api.create_project( - self.escrow_address, - labels=self._label_configuration, - user_guide=self.manifest.annotation.user_guide, - ) - - # Setup webhooks for the project - cvat_webhook = cvat_api.create_cvat_webhook(cvat_project.id) - - with SessionLocal.begin() as session: - segment_size = self._task_segment_size - total_jobs = math.ceil(len(self._roi_filenames_to_be_annotated) / segment_size) - self.logger.info( - "Task creation for escrow '%s': will create %s assignments", - self.escrow_address, - total_jobs, - ) - db_service.create_escrow_creation( - session, - escrow_address=self.escrow_address, - chain_id=self.chain_id, - total_jobs=total_jobs, - ) - - project_id = db_service.create_project( - session, - cvat_project.id, - cvat_cloud_storage.id, - self.manifest.annotation.type, - self.escrow_address, - self.chain_id, - oracle_bucket.to_url().rstrip("/") - + "/" - + compose_data_bucket_prefix(self.escrow_address, self.chain_id), - cvat_webhook_id=cvat_webhook.id, - ) - db_service.get_project_by_id(session, project_id, for_update=True) # lock the row - db_service.add_project_images( - session, - cvat_project.id, - [ - compose_data_bucket_filename(self.escrow_address, self.chain_id, fn) - for fn in self._roi_filenames.values() - ], - ) - - for data_subset in self._split_dataset_per_task( - self._roi_filenames_to_be_annotated, - subset_size=Config.cvat_config.max_jobs_per_task * segment_size, - ): - cvat_task = cvat_api.create_task( - cvat_project.id, self.escrow_address, segment_size=segment_size - ) - - task_id = db_service.create_task( - session, cvat_task.id, cvat_project.id, TaskStatuses[cvat_task.status] - ) - db_service.get_task_by_id(session, task_id, for_update=True) # lock the row - - filenames = [ - compose_data_bucket_filename(self.escrow_address, self.chain_id, fn) - for fn in data_subset - ] - gt_filenames = [ - compose_data_bucket_filename(self.escrow_address, self.chain_id, fn) - for fn in self._gt_roi_filenames - ] - - cvat_api.put_task_data( - cvat_task.id, - cvat_cloud_storage.id, - filenames=filenames, - validation_params={ - "gt_filenames": gt_filenames, - "gt_frames_per_job_count": self._job_val_frames_count, - }, - ) - - self._setup_gt_job_for_cvat_task( - cvat_task.id, self._gt_roi_dataset, dm_export_format="coco" - ) - self._setup_quality_settings(cvat_task.id) - - db_service.create_data_upload(session, cvat_task.id) - - db_service.touch(session, Project, [project_id]) - - def build(self): - self._download_input_data() - self._parse_gt() - self._parse_points() - self._validate_gt() - self._validate_points() - - # Task configuration creation - self._prepare_gt() - self._estimate_roi_sizes() - self._prepare_roi_info() - self._mangle_filenames() - self._prepare_label_configuration() - self._prepare_job_layout() - self._prepare_gt_roi_dataset() - - # Data preparation - self._extract_and_upload_rois() - self._upload_task_meta() - - self._create_on_cvat() - - -class SkeletonsFromBoxesTaskBuilder(_TaskBuilderBase): - @dataclass - class _TaskParams: - label_id: int - roi_ids: list[int] - roi_gt_ids: list[int] - - def __init__(self, manifest: TaskManifest, escrow_address: str, chain_id: int) -> None: - super().__init__(manifest=manifest, escrow_address=escrow_address, chain_id=chain_id) - - self._input_gt_data: _MaybeUnset[bytes] = _unset - self._input_boxes_data: _MaybeUnset[bytes] = _unset - - self._data_filenames: _MaybeUnset[Sequence[str]] = _unset - self._input_gt_dataset: _MaybeUnset[dm.Dataset] = _unset - self._gt_dataset: _MaybeUnset[dm.Dataset] = _unset - self._boxes_dataset: _MaybeUnset[dm.Dataset] = _unset - - self._skeleton_bbox_mapping: _MaybeUnset[skeletons_from_boxes_task.SkeletonBboxMapping] = ( - _unset - ) - self._roi_infos: _MaybeUnset[skeletons_from_boxes_task.RoiInfos] = _unset - self._roi_info_by_id: _MaybeUnset[dict[int, skeletons_from_boxes_task.RoiInfo]] = _unset - - self._gt_points_per_label: _MaybeUnset[ - dict[tuple[int, str], Sequence[tuple[int, dm.Points]]] - ] = _unset - "(skeleton_label_id, point_label_name) to [(skeleton_id, point), ...]" - - self._roi_filenames: _MaybeUnset[dict[int, str]] = _unset - - self._task_params: _MaybeUnset[list[self._TaskParams]] = _unset - - self._excluded_gt_info: _MaybeUnset[_ExcludedAnnotationsInfo] = _unset - self._excluded_boxes_info: _MaybeUnset[_ExcludedAnnotationsInfo] = _unset - - # Configuration / constants - self.job_size_mult = skeletons_from_boxes_task.DEFAULT_ASSIGNMENT_SIZE_MULTIPLIER - "Job size multiplier" - - # TODO: consider WebP if produced files are too big - self.roi_file_ext = ".png" # supposed to be lossless and reasonably compressing - "File extension for RoI images, with leading dot (.) included" - - self.list_display_threshold = 5 - "The maximum number of rendered list items in a message" - - self.roi_size_mult = 1.1 - "Additional point ROI size multiplier" - - self.min_roi_size = ( - Config.core_config.min_roi_size_w, - Config.core_config.min_roi_size_h, - ) - "Minimum absolute ROI size, (w, h)" - - self.boxes_format = "coco_person_keypoints" - - self.embed_bbox_in_roi_image = True - "Put a bbox into the extracted skeleton RoI images" - - self.embed_tile_border = True - - self.embedded_point_radius = 15 - self.min_embedded_point_radius_percent = 0.005 - self.max_embedded_point_radius_percent = 0.01 - self.embedded_point_color = (0, 255, 255) - - self.roi_embedded_bbox_color = (0, 255, 255) # BGR - self.roi_background_color = (245, 240, 242) # BGR - CVAT background color - - self.oracle_data_bucket = BucketAccessInfo.parse_obj(Config.storage_config) - - self.min_label_gt_samples = 2 # TODO: find good threshold - - self.max_discarded_threshold = 0.5 - """ - The maximum allowed percent of discarded - GT annotations or samples for successful job launch - """ - - self.gt_id_attribute = "object_id" - "An additional way to match GT skeletons with input boxes" - - # TODO: probably, need to also add an absolute number of minimum GT RoIs per class - - def _download_input_data(self): - data_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) - gt_bucket = BucketAccessInfo.parse_obj(self.manifest.validation.gt_url) - boxes_bucket = BucketAccessInfo.parse_obj(self.manifest.data.boxes_url) - - data_storage_client = self._make_cloud_storage_client(data_bucket) - gt_storage_client = self._make_cloud_storage_client(gt_bucket) - boxes_storage_client = self._make_cloud_storage_client(boxes_bucket) - - data_filenames = data_storage_client.list_files(prefix=data_bucket.path) - data_filenames = strip_bucket_prefix(data_filenames, prefix=data_bucket.path) - self._data_filenames = filter_image_files(data_filenames) - - self._input_gt_data = gt_storage_client.download_file(gt_bucket.path) - - self._input_boxes_data = boxes_storage_client.download_file(boxes_bucket.path) - - def _parse_dataset(self, annotation_file_data: bytes, dataset_format: str) -> dm.Dataset: - temp_dir = self.exit_stack.enter_context(TemporaryDirectory()) - - annotation_filename = os.path.join(temp_dir, "annotations.json") - with open(annotation_filename, "wb") as f: - f.write(annotation_file_data) - - return dm.Dataset.import_from(annotation_filename, format=dataset_format) - - def _parse_gt(self): - assert self._input_gt_data is not _unset - - self._input_gt_dataset = self._parse_dataset( - self._input_gt_data, - dataset_format=DM_GT_DATASET_FORMAT_MAPPING[self.manifest.annotation.type], - ) - - def _parse_boxes(self): - assert self._input_boxes_data is not _unset - - self._boxes_dataset = self._parse_dataset( - self._input_boxes_data, dataset_format=self.boxes_format - ) - - def _validate_gt_labels(self): - gt_labels = set( - (label.name, label.parent) - for label in self._input_gt_dataset.categories()[dm.AnnotationType.label] - ) - - manifest_labels = set() - for skeleton_label in self.manifest.annotation.labels: - manifest_labels.add((skeleton_label.name, "")) - for node_label in skeleton_label.nodes: - manifest_labels.add((node_label, skeleton_label.name)) - - if manifest_labels - gt_labels: - raise DatasetValidationError( - "Could not find GT for labels {}".format( - format_sequence( - [ - label_name if not parent_name else f"{parent_name}.{label_name}" - for label_name, parent_name in manifest_labels - gt_labels - ] - ), - ) - ) - - # It should not be an issue that there are some extra GT labels - they should - # just be skipped. - if gt_labels - manifest_labels: - self.logger.info( - "Skipping unknown GT labels: {}".format( - format_sequence( - [ - label_name if not parent_name else f"{parent_name}.{label_name}" - for label_name, parent_name in gt_labels - manifest_labels - ] - ) - ) - ) - - # Reorder and filter labels to match the manifest - self._input_gt_dataset.transform( - ProjectLabels, dst_labels=[label.name for label in self.manifest.annotation.labels] - ) - self._input_gt_dataset.init_cache() - - def _validate_gt_filenames(self): - gt_filenames = set(s.id + s.media.ext for s in self._input_gt_dataset) - - known_data_filenames = set(self._data_filenames) - matched_gt_filenames = gt_filenames.intersection(known_data_filenames) - - if len(gt_filenames) != len(matched_gt_filenames): - extra_gt = list(map(os.path.basename, gt_filenames - matched_gt_filenames)) - - raise MismatchingAnnotations( - "Failed to find several validation samples in the dataset files: {}".format( - format_sequence(extra_gt) - ) - ) - - if len(gt_filenames) < self._job_val_frames_count: - raise TooFewSamples( - f"Too few validation samples provided ({len(gt_filenames)}), " - f"at least {self._job_val_frames_count} required." - ) - - def _validate_gt_annotations(self): - def _validate_skeleton(skeleton: dm.Skeleton, *, sample_bbox: dm.Bbox): - if skeleton.id in visited_ids: - raise DatasetValidationError(f"repeated annotation id {skeleton.id}") - - for element in skeleton.elements: - # This is what Datumaro is expected to parse - assert len(element.points) == 2 - assert len(element.visibility) == 1 - - if element.visibility[0] == dm.Points.Visibility.absent: - continue - - px, py = element.points[:2] - if not is_point_in_bbox(int(px), int(py), sample_bbox): - raise InvalidCoordinates("skeleton point is outside the image") - - label_cat: dm.LabelCategories = self._input_gt_dataset.categories()[dm.AnnotationType.label] - - excluded_gt_info = _ExcludedAnnotationsInfo() - excluded_samples = set() - visited_ids = set() - for gt_sample in self._input_gt_dataset: - # Could fail on this as well - img_h, img_w = gt_sample.media_as(dm.Image).size - sample_bbox = dm.Bbox(0, 0, w=img_w, h=img_h) - - sample_skeletons = [a for a in gt_sample.annotations if isinstance(a, dm.Skeleton)] - valid_skeletons = [] - for skeleton in sample_skeletons: - try: - _validate_skeleton(skeleton, sample_bbox=sample_bbox) - except DatasetValidationError as error: - excluded_gt_info.add_message( - "Sample '{}': GT skeleton #{} ({}) skipped - {}".format( - gt_sample.id, skeleton.id, label_cat[skeleton.label].name, error - ), - sample_id=gt_sample.id, - sample_subset=gt_sample.subset, - ) - continue - - valid_skeletons.append(skeleton) - visited_ids.add(skeleton.id) - - excluded_gt_info.excluded_count += len(sample_skeletons) - len(valid_skeletons) - excluded_gt_info.total_count += len(sample_skeletons) - - if len(valid_skeletons) != len(sample_skeletons): - if not valid_skeletons: - excluded_samples.add((gt_sample.id, gt_sample.subset)) - else: - # Skeleton boxes can be in the list as well with the same ids / groups - skeleton_ids = set(a.id for a in valid_skeletons) - {0} - self._input_gt_dataset.put( - gt_sample.wrap( - annotations=[a for a in gt_sample.annotations if a.id in skeleton_ids] - ) - ) - - for excluded_sample in excluded_samples: - self._input_gt_dataset.remove(*excluded_sample) - - if excluded_gt_info.excluded_count: - self.logger.warning( - "Some GT skeletons were excluded due to the errors found: {}".format( - format_sequence([e.message for e in excluded_gt_info.messages], separator="\n") - ) - ) - - if excluded_gt_info.excluded_count > ceil( - excluded_gt_info.total_count * self.max_discarded_threshold - ): - raise TooFewSamples( - "Too many GT skeletons discarded, canceling job creation. Errors: {}".format( - format_sequence( - [error_info.message for error_info in excluded_gt_info.messages] - ) - ) - ) - - self._excluded_gt_info = excluded_gt_info - - def _validate_gt(self): - assert self._data_filenames is not _unset - assert self._input_gt_dataset is not _unset - - self._validate_gt_filenames() - self._validate_gt_labels() - self._validate_gt_annotations() - - def _validate_boxes_categories(self): - boxes_dataset_categories = self._boxes_dataset.categories() - boxes_dataset_label_cat: dm.LabelCategories = boxes_dataset_categories[ - dm.AnnotationType.label - ] - - boxes_labels = set(label.name for label in boxes_dataset_label_cat if not label.parent) - manifest_labels = set(label.name for label in self.manifest.annotation.labels) - if manifest_labels != boxes_labels: - raise DatasetValidationError("Bbox labels do not match job labels") - - # Reorder labels to match the manifest - self._boxes_dataset.transform( - ProjectLabels, dst_labels=[label.name for label in self.manifest.annotation.labels] - ) - self._boxes_dataset.init_cache() - - def _validate_boxes_filenames(self): - boxes_filenames = set(sample.id + sample.media.ext for sample in self._boxes_dataset) - - known_data_filenames = set(self._data_filenames) - matched_boxes_filenames = boxes_filenames.intersection(known_data_filenames) - - if len(matched_boxes_filenames) != len(boxes_filenames): - extra_bbox_samples = list( - map(os.path.basename, boxes_filenames - matched_boxes_filenames) - ) - - raise MismatchingAnnotations( - "Failed to find several samples in the dataset files: {}".format( - format_sequence(extra_bbox_samples), - ) - ) - - def _validate_boxes_annotations(self): # noqa: PLR0912 - # Convert possible polygons and masks into boxes - self._boxes_dataset.transform(InstanceSegmentsToBbox) - self._boxes_dataset.init_cache() - - excluded_boxes_info = _ExcludedAnnotationsInfo() - - label_cat: dm.LabelCategories = self._boxes_dataset.categories()[dm.AnnotationType.label] - - visited_ids = set() - for sample in self._boxes_dataset: - # Could fail on this as well - image_h, image_w = sample.media_as(dm.Image).size - - valid_instances: list[tuple[dm.Bbox, dm.Points]] = [] - instances = find_instances( - [a for a in sample.annotations if isinstance(a, dm.Bbox | dm.Skeleton)] - ) - for instance_anns in instances: - if len(instance_anns) != 2: - excluded_boxes_info.add_message( - "Sample '{}': object #{} ({}) skipped - unexpected group size ({})".format( - sample.id, - instance_anns[0].id, - label_cat[instance_anns[0].label].name, - len(instance_anns), - ), - sample_id=sample.id, - sample_subset=sample.subset, - ) - continue - - bbox = next((a for a in instance_anns if isinstance(a, dm.Bbox)), None) - if not bbox: - excluded_boxes_info.add_message( - "Sample '{}': object #{} ({}) skipped - no matching bbox".format( - sample.id, instance_anns[0].id, label_cat[instance_anns[0].label].name - ), - sample_id=sample.id, - sample_subset=sample.subset, - ) - continue - - skeleton = next((a for a in instance_anns if isinstance(a, dm.Skeleton)), None) - if not skeleton: - excluded_boxes_info.add_message( - "Sample '{}': object #{} ({}) skipped - no matching skeleton".format( - sample.id, instance_anns[0].id, label_cat[instance_anns[0].label].name - ), - sample_id=sample.id, - sample_subset=sample.subset, - ) - continue - - if len(skeleton.elements) != 1 or len(skeleton.elements[0].points) != 2: - excluded_boxes_info.add_message( - "Sample '{}': object #{} ({}) skipped - invalid skeleton points".format( - sample.id, skeleton.id, label_cat[skeleton.label].name - ), - sample_id=sample.id, - sample_subset=sample.subset, - ) - continue - - point = skeleton.elements[0] - if not is_point_in_bbox(point.points[0], point.points[1], (0, 0, image_w, image_h)): - excluded_boxes_info.add_message( - "Sample '{}': object #{} ({}) skipped - invalid point coordinates".format( - sample.id, skeleton.id, label_cat[skeleton.label].name - ), - sample_id=sample.id, - sample_subset=sample.subset, - ) - continue - - if not is_point_in_bbox(int(bbox.x), int(bbox.y), (0, 0, image_w, image_h)): - excluded_boxes_info.add_message( - "Sample '{}': object #{} ({}) skipped - invalid bbox coordinates".format( - sample.id, bbox.id, label_cat[bbox.label].name - ), - sample_id=sample.id, - sample_subset=sample.subset, - ) - continue - - if not is_point_in_bbox(point.points[0], point.points[1], bbox): - excluded_boxes_info.add_message( - "Sample '{}': object #{} ({}) skipped - point is outside the bbox".format( - sample.id, skeleton.id, label_cat[skeleton.label].name - ), - sample_id=sample.id, - sample_subset=sample.subset, - ) - continue - - if bbox.id in visited_ids: - excluded_boxes_info.add_message( - "Sample '{}': bbox #{} ({}) skipped - repeated annotation id {}".format( - sample.id, bbox.id, label_cat[bbox.label].name, bbox.id - ), - sample_id=sample.id, - sample_subset=sample.subset, - ) - continue - - valid_instances.append( - (bbox, point.wrap(group=bbox.group, id=bbox.id, attributes=bbox.attributes)) - ) - visited_ids.add(bbox.id) - - excluded_boxes_info.excluded_count += len(instances) - len(valid_instances) - excluded_boxes_info.total_count += len(instances) - - if len(valid_instances) != len(sample.annotations): - self._boxes_dataset.put( - sample.wrap(annotations=list(chain.from_iterable(valid_instances))) - ) - - if excluded_boxes_info.excluded_count > ceil( - excluded_boxes_info.total_count * self.max_discarded_threshold - ): - raise TooFewSamples( - "Too many boxes discarded, canceling job creation. Errors: {}".format( - format_sequence( - [error_info.message for error_info in excluded_boxes_info.messages] - ) - ) - ) - - excluded_samples = set((e.sample_id, e.sample_subset) for e in excluded_boxes_info.messages) - for excluded_sample in excluded_samples: - self._boxes_dataset.remove(*excluded_sample) - - if excluded_samples: - self.logger.warning( - "Some boxes were excluded due to the errors found: {}".format( - format_sequence( - [e.message for e in excluded_boxes_info.messages], separator="\n" - ) - ) - ) - - self._excluded_boxes_info = excluded_boxes_info - - def _validate_boxes(self): - assert self._data_filenames is not _unset - assert self._boxes_dataset is not _unset - - self._validate_boxes_categories() - self._validate_boxes_filenames() - self._validate_boxes_annotations() - - def _match_boxes(self, a: BboxCoords, b: BboxCoords) -> bool: - return bbox_iou(a, b) > 0 - - def _get_skeleton_bbox( - self, skeleton: dm.Skeleton, annotations: Sequence[dm.Annotation] - ) -> BboxCoords: - matching_bbox = None - if skeleton.group: - matching_bbox = next( - ( - bbox - for bbox in annotations - if isinstance(bbox, dm.Bbox) and bbox.group == skeleton.group - ), - None, - ) - - if matching_bbox: - bbox = matching_bbox.get_bbox() - else: - bbox = skeleton.get_bbox() - - if any( - v != dm.Points.Visibility.absent for e in skeleton.elements for v in e.visibility - ): - # If there's only 1 visible point, the bbox will have 0 w and h - bbox = [bbox[0], bbox[1], max(1, bbox[2]), max(1, bbox[3])] - - return bbox - - def _prepare_gt(self): - def _find_unambiguous_matches( - input_boxes: list[dm.Bbox], - gt_skeletons: list[dm.Skeleton], - *, - input_points: list[dm.Points], - gt_annotations: list[dm.Annotation], - ) -> list[tuple[dm.Bbox, dm.Skeleton]]: - bbox_point_mapping: dict[int, dm.Points] = { - bbox.id: next(p for p in input_points if p.group == bbox.group) - for bbox in input_boxes - } - - matches = [ - [ - (input_bbox.label == gt_skeleton.label) - and ( - self._match_boxes( - input_bbox.get_bbox(), - self._get_skeleton_bbox(gt_skeleton, gt_annotations), - ) - ) - and (input_point := bbox_point_mapping[input_bbox.id]) - and is_point_in_bbox( - input_point.points[0], - input_point.points[1], - self._get_skeleton_bbox(gt_skeleton, gt_annotations), - ) - and ( - # a way to customize matching if the default method is too rough - not (bbox_id := input_bbox.attributes.get(self.gt_id_attribute)) - or not (skeleton_id := gt_skeleton.attributes.get(self.gt_id_attribute)) - or bbox_id == skeleton_id - ) - for gt_skeleton in gt_skeletons - ] - for input_bbox in input_boxes - ] - - ambiguous_boxes: list[int] = set() - ambiguous_skeletons: list[int] = set() - for bbox_idx, input_bbox in enumerate(input_boxes): - matched_skeletons: list[dm.Skeleton] = [ - gt_skeletons[j] for j in range(len(gt_skeletons)) if matches[bbox_idx][j] - ] - - if len(matched_skeletons) > 1: - # Handle ambiguous matches - excluded_boxes_info.add_message( - "Sample '{}': bbox #{} ({}) and overlapping skeletons skipped - " - "too many matching skeletons ({}) found".format( - boxes_sample.id, - input_bbox.id, - boxes_label_cat[input_bbox.label].name, - format_sequence([f"#{a.id}" for a in matched_skeletons]), - ), - sample_id=boxes_sample.id, - sample_subset=boxes_sample.subset, - ) - # not an error, should not be counted as excluded for an error - ambiguous_boxes.add(input_bbox.id) - ambiguous_skeletons.update(s.id for s in matched_skeletons) - continue - - for skeleton_idx, gt_skeleton in enumerate(gt_skeletons): - matched_boxes: list[dm.Bbox] = [ - input_boxes[i] for i in range(len(input_boxes)) if matches[i][skeleton_idx] - ] - - if len(matched_boxes) > 1: - # Handle ambiguous matches - excluded_gt_info.add_message( - "Sample '{}': GT skeleton #{} ({}) and overlapping boxes skipped - " - "too many matching boxes ({}) found".format( - gt_sample.id, - gt_skeleton.id, - gt_label_cat[gt_skeleton.label].name, - format_sequence([f"#{a.id}" for a in matched_boxes]), - ), - sample_id=gt_sample.id, - sample_subset=gt_sample.subset, - ) - # not an error, should not be counted as excluded for an error - ambiguous_skeletons.add(gt_skeleton.id) - ambiguous_boxes.update(b.id for b in matched_boxes) - continue - if not matched_boxes: - # Handle unmatched skeletons - excluded_gt_info.add_message( - "Sample '{}': GT skeleton #{} ({}) skipped - " - "no matching boxes found".format( - gt_sample.id, - gt_skeleton.id, - gt_label_cat[gt_skeleton.label].name, - ), - sample_id=gt_sample.id, - sample_subset=gt_sample.subset, - ) - excluded_gt_info.excluded_count += 1 # an error - continue - - unambiguous_matches: list[tuple[dm.Bbox, dm.Skeleton]] = [] - for bbox_idx, input_bbox in enumerate(input_boxes): - if input_bbox.id in ambiguous_boxes: - continue - - matched_skeleton = None - for gt_idx, gt_skeleton in enumerate(gt_skeletons): - if gt_skeleton.id in ambiguous_skeletons: - continue - - if matches[bbox_idx][gt_idx]: - matched_skeleton = gt_skeleton - break - - if matched_skeleton: - unambiguous_matches.append((input_bbox, matched_skeleton)) - - return unambiguous_matches - - def _find_good_gt_skeletons( - input_boxes: list[dm.Bbox], - gt_skeletons: list[dm.Skeleton], - *, - input_points: list[dm.Points], - gt_annotations: list[dm.Annotation], - ) -> list[dm.Skeleton]: - matches = _find_unambiguous_matches( - input_boxes, gt_skeletons, input_points=input_points, gt_annotations=gt_annotations - ) - - matched_skeletons = [] - for input_bbox, gt_skeleton in matches: - gt_count_per_class[gt_skeleton.label] = ( - gt_count_per_class.get(gt_skeleton.label, 0) + 1 - ) - - matched_skeletons.append(gt_skeleton) - skeleton_bbox_mapping[gt_skeleton.id] = input_bbox.id - - return matched_skeletons - - assert self._data_filenames is not _unset - assert self._boxes_dataset is not _unset - assert self._input_gt_dataset is not _unset - assert [ - label.name - for label in self._input_gt_dataset.categories()[dm.AnnotationType.label] - if not label.parent - ] == [label.name for label in self.manifest.annotation.labels] - assert [ - label.name - for label in self._boxes_dataset.categories()[dm.AnnotationType.label] - if not label.parent - ] == [label.name for label in self.manifest.annotation.labels] - - boxes_label_cat: dm.LabelCategories = self._boxes_dataset.categories()[ - dm.AnnotationType.label - ] - gt_label_cat: dm.LabelCategories = self._input_gt_dataset.categories()[ - dm.AnnotationType.label - ] - - updated_gt_dataset = dm.Dataset( - categories=self._input_gt_dataset.categories(), media_type=dm.Image - ) - - excluded_boxes_info = _ExcludedAnnotationsInfo() # local for the function - excluded_gt_info = self._excluded_gt_info - gt_count_per_class = {} - skeleton_bbox_mapping = {} # skeleton id -> bbox id - for gt_sample in self._input_gt_dataset: - boxes_sample = self._boxes_dataset.get(gt_sample.id, gt_sample.subset) - # Samples could be discarded, so we just skip them without an error - if not boxes_sample: - continue - - gt_skeletons = [a for a in gt_sample.annotations if isinstance(a, dm.Skeleton)] - input_boxes = [a for a in boxes_sample.annotations if isinstance(a, dm.Bbox)] - input_points = [a for a in boxes_sample.annotations if isinstance(a, dm.Points)] - assert len(input_boxes) == len(input_points) - - # Samples without boxes are allowed, so we just skip them without an error - if not gt_skeletons: - continue - - matched_skeletons = _find_good_gt_skeletons( - input_boxes, - gt_skeletons, - input_points=input_points, - gt_annotations=gt_sample.annotations, - ) - if not matched_skeletons: - continue - - updated_gt_dataset.put(gt_sample.wrap(annotations=matched_skeletons)) - - if excluded_boxes_info.messages: - self.logger.warning( - "Some boxes were excluded from GT due to the problems found: {}".format( - format_sequence( - [e.message for e in excluded_boxes_info.messages], separator="\n" - ) - ) - ) - - if excluded_gt_info.messages: - self.logger.warning( - "Some GT annotations were excluded due to the errors found: {}".format( - format_sequence([e.message for e in excluded_gt_info.messages], separator="\n") - ) - ) - - if excluded_gt_info.excluded_count > ceil( - self.max_discarded_threshold * excluded_gt_info.total_count - ): - raise DatasetValidationError( - "Too many GT skeletons discarded ({} out of {}). " - "Please make sure each GT skeleton matches exactly 1 bbox " - "and has at least 1 visible point".format( - excluded_gt_info.total_count - len(skeleton_bbox_mapping), - excluded_gt_info.total_count, - ) - ) - - self.logger.info( - "GT counts per class to be used for validation: {}".format( - format_sequence( - [ - f"{gt_label_cat[label_id].name}: {count}" - for label_id, count in gt_count_per_class.items() - ] - ) - ) - ) - - labels_with_few_gt = [ - gt_label_cat[label_id] - for label_id, label_count in gt_count_per_class.items() - if label_count < self.min_label_gt_samples - ] - if labels_with_few_gt: - raise DatasetValidationError( - "Too few matching GT boxes/points annotations found for some classes: {}".format( - format_sequence(labels_with_few_gt) - ) - ) - - self._gt_dataset = updated_gt_dataset - self._skeleton_bbox_mapping = skeleton_bbox_mapping - - def _prepare_roi_infos(self): - assert self._gt_dataset is not _unset - assert self._boxes_dataset is not _unset - - rois: list[skeletons_from_boxes_task.RoiInfo] = [] - for sample in self._boxes_dataset: - instances = find_instances(sample.annotations) - for instance_anns in instances: - bbox = next(a for a in instance_anns if isinstance(a, dm.Bbox)) - point = next(a for a in instance_anns if isinstance(a, dm.Points)) - - # RoI is centered on bbox center - original_bbox_cx = int(bbox.x + bbox.w / 2) - original_bbox_cy = int(bbox.y + bbox.h / 2) - - roi_w = ceil(bbox.w * self.roi_size_mult) - roi_h = ceil(bbox.h * self.roi_size_mult) - roi_w = max(roi_w, self.min_roi_size[0]) - roi_h = max(roi_h, self.min_roi_size[1]) - - roi_x = original_bbox_cx - int(roi_w / 2) - roi_y = original_bbox_cy - int(roi_h / 2) - - new_bbox_x = bbox.x - roi_x - new_bbox_y = bbox.y - roi_y - - rois.append( - skeletons_from_boxes_task.RoiInfo( - original_image_key=sample.attributes["id"], - bbox_id=bbox.id, - bbox_label=bbox.label, - bbox_x=new_bbox_x, - bbox_y=new_bbox_y, - point_x=point.points[0] - roi_x, - point_y=point.points[1] - roi_y, - roi_x=roi_x, - roi_y=roi_y, - roi_w=roi_w, - roi_h=roi_h, - ) - ) - - self._roi_infos = rois - self._roi_info_by_id = {roi_info.bbox_id: roi_info for roi_info in self._roi_infos} - - def _mangle_filenames(self): - """ - Mangle filenames in the dataset to make them less recognizable by annotators - and hide private dataset info - """ - assert self._roi_infos is not _unset - - # TODO: maybe add different names for the same GT images in - # different jobs to make them even less recognizable - self._roi_filenames = { - roi_info.bbox_id: str(uuid.uuid4()) + self.roi_file_ext for roi_info in self._roi_infos - } - - @property - def _task_segment_size(self) -> int: - # Here we use a job size multiplier, because each image - # is supposed to be simple and the assignment is expected - # to take little time with the default job size. - # Then, we add a percent of job tiles for validation, keeping the requested ratio. - return super()._task_segment_size * self.job_size_mult - - @property - def _job_val_frames_count(self) -> int: - return super()._job_val_frames_count * self.job_size_mult - - def _prepare_task_params(self): - assert self._roi_infos is not _unset - assert self._skeleton_bbox_mapping is not _unset - assert self._input_gt_dataset is not _unset - - # This list can be different from what is selected for validation - input_gt_filenames = set(sample.media.path for sample in self._input_gt_dataset) - image_id_to_filename = { - sample.attributes["id"]: sample.media.path for sample in self._boxes_dataset - } - - task_params: list[self._TaskParams] = [] - segment_size = self._task_segment_size - for label_id, _ in enumerate(self.manifest.annotation.labels): - label_gt_roi_ids = set( - roi_id - for roi_id in self._skeleton_bbox_mapping.values() - if self._roi_info_by_id[roi_id].bbox_label == label_id - ) - - label_data_roi_ids = [ - roi_info.bbox_id - for roi_info in self._roi_infos - if roi_info.bbox_label == label_id - if roi_info.bbox_id not in label_gt_roi_ids - if image_id_to_filename[roi_info.original_image_key] not in input_gt_filenames - ] - random.shuffle(label_data_roi_ids) - - task_params.extend( - [ - self._TaskParams( - label_id=label_id, roi_ids=task_data_roi_ids, roi_gt_ids=label_gt_roi_ids - ) - for task_data_roi_ids in take_by( - label_data_roi_ids, Config.cvat_config.max_jobs_per_task * segment_size - ) - ] - ) - - self._task_params = task_params - - def _prepare_job_labels(self): - self._point_labels = {} - - for skeleton_label in self.manifest.annotation.labels: - for point_name in skeleton_label.nodes: - self._point_labels[(skeleton_label.name, point_name)] = point_name - - def _prepare_gt_points_mapping(self): - assert self._gt_dataset is not _unset - - self._gt_points_per_label = {} - - # GT should contain all GT images with only one point per skeleton node - for gt_sample in self._gt_dataset: - for gt_skeleton in gt_sample.annotations: - if not isinstance(gt_skeleton, dm.Skeleton): - continue - - for point in gt_skeleton.elements: - if point.visibility[0] in [ - dm.Points.Visibility.absent, - dm.Points.Visibility.hidden, - ]: - continue - - point_label_name = ( - self._gt_dataset.categories()[dm.AnnotationType.label] - .items[point.label] - .name - ) - - self._gt_points_per_label.setdefault( - (gt_skeleton.label, point_label_name), [] - ).append((gt_skeleton.id, point)) - - def _upload_task_meta(self): - layout = skeletons_from_boxes_task.TaskMetaLayout() - serializer = skeletons_from_boxes_task.TaskMetaSerializer() - - file_list = [] - file_list.append( - (serializer.serialize_bbox_annotations(self._boxes_dataset), layout.BOXES_FILENAME) - ) - file_list.append( - ( - serializer.serialize_gt_annotations(self._gt_dataset), - layout.GT_FILENAME, - ) - ) - file_list.append( - ( - serializer.serialize_skeleton_bbox_mapping(self._skeleton_bbox_mapping), - layout.SKELETON_BBOX_MAPPING_FILENAME, - ) - ) - file_list.append((serializer.serialize_roi_info(self._roi_infos), layout.ROI_INFO_FILENAME)) - file_list.append( - (serializer.serialize_roi_filenames(self._roi_filenames), layout.ROI_FILENAMES_FILENAME) - ) - file_list.append( - (serializer.serialize_point_labels(self._point_labels), layout.POINT_LABELS_FILENAME) - ) - - storage_client = self._make_cloud_storage_client(self.oracle_data_bucket) - for file_data, filename in file_list: - storage_client.create_file( - compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), - file_data, - ) - - def _extract_roi( - self, source_pixels: np.ndarray, roi_info: skeletons_from_boxes_task.RoiInfo - ) -> np.ndarray: - img_h, img_w, *_ = source_pixels.shape - - roi_pixels = source_pixels[ - max(0, roi_info.roi_y) : min(img_h, roi_info.roi_y + roi_info.roi_h), - max(0, roi_info.roi_x) : min(img_w, roi_info.roi_x + roi_info.roi_w), - ] - - if not ( - (0 <= roi_info.roi_x < roi_info.roi_x + roi_info.roi_w < img_w) - and (0 <= roi_info.roi_y < roi_info.roi_y + roi_info.roi_h < img_h) - ): - # Coords can be outside the original image - # In this case a border should be added to RoI, so that the image was centered on bbox - wrapped_roi_pixels = np.zeros((roi_info.roi_h, roi_info.roi_w, 3), dtype=np.float32) - wrapped_roi_pixels[:, :] = self.roi_background_color - - dst_y = max(-roi_info.roi_y, 0) - dst_x = max(-roi_info.roi_x, 0) - wrapped_roi_pixels[ - dst_y : dst_y + roi_pixels.shape[0], - dst_x : dst_x + roi_pixels.shape[1], - ] = roi_pixels - - roi_pixels = wrapped_roi_pixels - else: - roi_pixels = roi_pixels.copy() - - return roi_pixels - - def _draw_roi_bbox(self, roi_image: np.ndarray, bbox: dm.Bbox) -> np.ndarray: - roi_cy = roi_image.shape[0] // 2 - roi_cx = roi_image.shape[1] // 2 - return cv2.rectangle( - roi_image, - tuple(map(int, (roi_cx - bbox.w / 2, roi_cy - bbox.h / 2))), - tuple(map(int, (roi_cx + bbox.w / 2, roi_cy + bbox.h / 2))), - self.roi_embedded_bbox_color, - 1, - cv2.LINE_4, - ) - - def _draw_roi_point(self, roi_image: np.ndarray, point: tuple[float, float]) -> np.ndarray: - roi_r = (roi_image.shape[0] ** 2 + roi_image.shape[1] ** 2) ** 0.5 / 2 - radius = int( - min( - self.max_embedded_point_radius_percent * roi_r, - max(self.embedded_point_radius, self.min_embedded_point_radius_percent * roi_r), - ) - ) - - roi_image = cv2.circle( - roi_image, - tuple(map(int, (point[0], point[1]))), - radius + 1, - (255, 255, 255), - -1, - cv2.LINE_4, - ) - return cv2.circle( - roi_image, - tuple(map(int, (point[0], point[1]))), - radius, - self.embedded_point_color, - -1, - cv2.LINE_4, - ) - - def _extract_and_upload_rois(self): - assert self._roi_filenames is not _unset - assert self._roi_infos is not _unset - - src_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) - src_prefix = src_bucket.path - dst_bucket = self.oracle_data_bucket - - src_client = self._make_cloud_storage_client(src_bucket) - dst_client = self._make_cloud_storage_client(dst_bucket) - - image_id_to_filename = { - sample.attributes["id"]: sample.image.path for sample in self._boxes_dataset - } - - filename_to_sample = {sample.image.path: sample for sample in self._boxes_dataset} - - def _roi_info_key(e): - return e.original_image_key - - roi_info_by_image: dict[str, Sequence[skeletons_from_boxes_task.RoiInfo]] = { - image_id_to_filename[image_id]: list(g) - for image_id, g in groupby( - sorted(self._roi_infos, key=_roi_info_key), key=_roi_info_key - ) - } - - bbox_by_id = { - bbox.id: bbox - for sample in self._boxes_dataset - for bbox in sample.annotations - if isinstance(bbox, dm.Bbox) - } - - def process_file(filename: str, image_pixels: np.ndarray): - image_roi_infos = roi_info_by_image.get(filename, []) - if not image_roi_infos: - return - - sample = filename_to_sample[filename] - if tuple(sample.image.size) != tuple(image_pixels.shape[:2]): - # TODO: maybe rois should be regenerated instead - # Option 2: accumulate errors, fail when some threshold is reached - # Option 3: add special handling for cases when image is only rotated (exif etc.) - raise InvalidImageInfo( - f"Sample '{filename}': invalid size provided in the point annotations" - ) - - for roi_info in image_roi_infos: - roi_pixels = self._extract_roi(image_pixels, roi_info) - - if self.embed_bbox_in_roi_image: - roi_pixels = self._draw_roi_bbox(roi_pixels, bbox_by_id[roi_info.bbox_id]) - roi_pixels = self._draw_roi_point( - roi_pixels, (roi_info.point_x, roi_info.point_y) - ) - - filename = self._roi_filenames[roi_info.bbox_id] - roi_bytes = encode_image(roi_pixels, os.path.splitext(filename)[-1]) - - dst_client.create_file( - compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), - data=roi_bytes, - ) - - def download_and_decode(key: str): - image_bytes = src_client.download_file(key) - return decode_image(image_bytes) - - pool_size = Config.features.max_data_storage_connections - download_queue_size = 4 * pool_size - download_queue = Queue[tuple[str, Future[np.ndarray]]](download_queue_size) - roi_uploader = BufferedRoiImageUploader(queue=download_queue) - with ThreadPoolExecutor(pool_size) as pool: - - def put_callback(filename: str): - image_roi_infos = roi_info_by_image.get(filename, []) - if not image_roi_infos: - return None - - return ( - filename, - pool.submit(download_and_decode, os.path.join(src_prefix, filename)), - ) - - def process_callback(result: tuple[str, Future]): - filename, task = result - process_file(filename, task.result()) - - roi_uploader.process_all( - self._data_filenames, put_callback=put_callback, process_callback=process_callback - ) - - def _prepare_gt_dataset_for_skeleton_point( - self, - *, - point_label_name: str, - skeleton_label_id: int, - ) -> dm.Dataset: - assert self._gt_points_per_label is not _unset - - # Change annotations to Points for validation in CVAT, - # as annotators will use this annotation type - point_dataset = dm.Dataset( - categories={ - dm.AnnotationType.label: dm.LabelCategories.from_iterable([point_label_name]), - }, - media_type=dm.Image, - ) - - for gt_skeleton_id, gt_point in self._gt_points_per_label[ - (skeleton_label_id, point_label_name) - ]: - roi_key = self._skeleton_bbox_mapping[gt_skeleton_id] - roi_info = self._roi_info_by_id[roi_key] - - mangled_cvat_sample_id = compose_data_bucket_filename( - self.escrow_address, - self.chain_id, - os.path.splitext(self._roi_filenames[roi_key])[0], - ) - - # update points coordinates in accordance with roi coordinates - updated_points = [ - gt_point.points[0] - roi_info.roi_x, - gt_point.points[1] - roi_info.roi_y, - ] - - point_dataset.put( - dm.DatasetItem( - id=mangled_cvat_sample_id, - annotations=[dm.Points(id=gt_skeleton_id, points=updated_points, label=0)], - ) - ) - - return point_dataset - - def _save_cvat_gt_dataset_to_oracle_bucket( - self, - gt_dataset_path: Path, - *, - file_suffix: str = "", - ) -> None: - layout = skeletons_from_boxes_task.TaskMetaLayout() - - base_gt_filename = layout.GT_FILENAME.split(".", maxsplit=1)[0] - final_gt_filename = f"{base_gt_filename}_{file_suffix}" + ".zip" - gt_dataset_key = compose_data_bucket_filename( - self.escrow_address, self.chain_id, final_gt_filename - ) - - storage_client = self._make_cloud_storage_client(self._oracle_data_bucket) - storage_client.create_file(gt_dataset_key, gt_dataset_path.read_bytes()) - - def _setup_quality_settings(self, task_id: int, **overrides) -> None: - values = { - "oks_sigma": Config.cvat_config.oks_sigma, - "point_size_base": "image_size", # we don't expect any boxes or groups, so ignore them - } - values.update(overrides) - super()._setup_quality_settings(task_id, **values) - - def _create_on_cvat(self): - assert self._task_params is not _unset - assert self._point_labels is not _unset - assert self._gt_points_per_label is not _unset - - def _task_params_label_key(ts): - return ts.label_id - - tasks_by_skeleton_label = { - skeleton_label_id: list(g) - for skeleton_label_id, g in groupby( - sorted(self._task_params, key=_task_params_label_key), key=_task_params_label_key - ) - } - - label_specs_by_skeleton = { - skeleton_label_id: [ - { - "name": self._point_labels[(skeleton_label.name, skeleton_point)], - "type": "points", - } - for skeleton_point in skeleton_label.nodes - ] - for skeleton_label_id, skeleton_label in enumerate(self.manifest.annotation.labels) - } - - oracle_bucket = self.oracle_data_bucket - - # Register cloud storage on CVAT to pass user dataset - cvat_cloud_storage = cvat_api.create_cloudstorage( - **_make_cvat_cloud_storage_params(oracle_bucket) - ) - - segment_size = self._task_segment_size - - total_jobs = sum( - len(self.manifest.annotation.labels[tp.label_id].nodes) - * (math.ceil(len(tp.roi_ids) / segment_size)) - for tp in self._task_params - ) - self.logger.info( - "Task creation for escrow '%s': will create %s assignments", - self.escrow_address, - total_jobs, - ) - - with SessionLocal.begin() as session: - db_service.create_escrow_creation( - session, - escrow_address=self.escrow_address, - chain_id=self.chain_id, - total_jobs=total_jobs, - ) - created_projects = [] - - for skeleton_label_id, skeleton_label_tasks in tasks_by_skeleton_label.items(): - skeleton_label_filenames: list[list[str]] = [] - gt_skeleton_label_filenames: list[list[str]] = [] - - for skeleton_label_task in skeleton_label_tasks: - skeleton_label_filenames.append( - [ - compose_data_bucket_filename( - self.escrow_address, self.chain_id, self._roi_filenames[roi_id] - ) - for roi_id in skeleton_label_task.roi_ids - ], - ) - - gt_skeleton_label_filenames.append( - [ - compose_data_bucket_filename( - self.escrow_address, self.chain_id, self._roi_filenames[roi_id] - ) - for roi_id in skeleton_label_task.roi_gt_ids - ], - ) - - for point_label_spec in label_specs_by_skeleton[skeleton_label_id]: - point_label_name = point_label_spec["name"] - - # Create a project for each point label. - # CVAT doesn't support tasks with different labels in a project. - cvat_project = cvat_api.create_project( - name="{} ({} {})".format( - self.escrow_address, - self.manifest.annotation.labels[skeleton_label_id].name, - point_label_name, - ), - user_guide=self.manifest.annotation.user_guide, - labels=[point_label_spec], - # TODO: improve guide handling - split for different points - ) - - # Setup webhooks for the project - cvat_webhook = cvat_api.create_cvat_webhook(cvat_project.id) - - project_id = db_service.create_project( - session, - cvat_project.id, - cvat_cloud_storage.id, - self.manifest.annotation.type, - self.escrow_address, - self.chain_id, - oracle_bucket.to_url().rstrip("/") - + "/" - + compose_data_bucket_prefix(self.escrow_address, self.chain_id), - cvat_webhook_id=cvat_webhook.id, - ) - created_projects.append(project_id) - - db_service.get_project_by_id( - session, project_id, for_update=True - ) # lock the row - db_service.add_project_images( - session, - cvat_project.id, - list(set(chain.from_iterable(skeleton_label_filenames))), - ) - - for point_label_filenames, gt_point_label_filenames in zip( - skeleton_label_filenames, gt_skeleton_label_filenames, strict=False - ): - cvat_task = cvat_api.create_task( - cvat_project.id, - name=cvat_project.name, - segment_size=segment_size, - ) - - task_id = db_service.create_task( - session, cvat_task.id, cvat_project.id, TaskStatuses[cvat_task.status] - ) - db_service.get_task_by_id(session, task_id, for_update=True) # lock the row - - # The task is fully created once 'update:task' webhook is received. - cvat_api.put_task_data( - cvat_task.id, - cvat_cloud_storage.id, - filenames=point_label_filenames + gt_point_label_filenames, - validation_params={ - "gt_filenames": gt_point_label_filenames, - "gt_frames_per_job_count": self._job_val_frames_count, - }, - ) - - gt_point_dataset = self._prepare_gt_dataset_for_skeleton_point( - point_label_name=point_label_name, - skeleton_label_id=skeleton_label_id, - ) - - self._setup_gt_job_for_cvat_task( - cvat_task.id, gt_point_dataset, dm_export_format="cvat" - ) - self._setup_quality_settings( - cvat_task.id, oks_sigma=Config.cvat_config.oks_sigma - ) - - db_service.create_data_upload(session, cvat_task.id) - - db_service.touch(session, Project, created_projects) - - def build(self): - self._download_input_data() - self._parse_gt() - self._parse_boxes() - self._validate_gt() - self._validate_boxes() - - # Task configuration creation - self._prepare_gt() - self._prepare_roi_infos() - self._prepare_task_params() - self._mangle_filenames() - self._prepare_job_labels() - - # Data preparation - self._extract_and_upload_rois() - self._upload_task_meta() - self._prepare_gt_points_mapping() - - self._create_on_cvat() - - -def is_image(path: str) -> bool: - trunk, ext = os.path.splitext(os.path.basename(path)) - return trunk and ext.lower() in IMAGE_EXTENSIONS - - -def filter_image_files(data_filenames: list[str]) -> list[str]: - return [fn for fn in data_filenames if is_image(fn)] - - -def strip_bucket_prefix(data_filenames: list[str], prefix: str) -> list[str]: - return [os.path.relpath(fn, prefix) for fn in data_filenames] - - -def make_label_configuration(manifest: TaskManifest) -> list[dict]: - return [ - { - "name": label.name, - "type": LABEL_TYPE_MAPPING[manifest.annotation.type].value, - } - for label in manifest.annotation.labels - ] - - -def _make_cvat_cloud_storage_params(bucket_info: BucketAccessInfo) -> dict: - CLOUD_PROVIDER_TO_CVAT_CLOUD_PROVIDER = { - CloudProviders.aws: "AWS_S3_BUCKET", - CloudProviders.gcs: "GOOGLE_CLOUD_STORAGE", - } - - params = { - "provider": CLOUD_PROVIDER_TO_CVAT_CLOUD_PROVIDER[bucket_info.provider], - "bucket_name": bucket_info.bucket_name, - "bucket_host": bucket_info.host_url, - } - - if bucket_info.credentials: - params["credentials"] = bucket_info.credentials.to_dict() - - return params - - -def create_task(escrow_address: str, chain_id: int) -> None: - logger = get_function_logger(module_logger) - - manifest = parse_manifest(get_escrow_manifest(chain_id, escrow_address)) - - if manifest.annotation.type in [TaskTypes.image_boxes, TaskTypes.image_label_binary]: - builder_type = SimpleTaskBuilder - elif manifest.annotation.type is TaskTypes.image_polygons: - builder_type = PolygonTaskBuilder - elif manifest.annotation.type in [TaskTypes.image_points]: - builder_type = PointsTaskBuilder - elif manifest.annotation.type in [TaskTypes.image_boxes_from_points]: - builder_type = BoxesFromPointsTaskBuilder - elif manifest.annotation.type in [TaskTypes.image_skeletons_from_boxes]: - builder_type = SkeletonsFromBoxesTaskBuilder - else: - raise Exception(f"Unsupported task type {manifest.annotation.type}") - - with builder_type(manifest, escrow_address, chain_id) as task_builder: - task_builder.set_logger(logger) - task_builder.build() diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/__init__.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/__init__.py new file mode 100644 index 0000000000..9e4f056f12 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/__init__.py @@ -0,0 +1,3 @@ +from src.handlers.job_creation.factory import create_task + +__all__ = ["create_task"] diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/__init__.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/__init__.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py new file mode 100644 index 0000000000..d3e9fe4940 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py @@ -0,0 +1,14 @@ +from __future__ import annotations + +from src.handlers.job_creation.builders.vision.base import _TaskBuilderBase + + +class AudioTranscriptionTaskBuilder(_TaskBuilderBase): + """ + Handles task creation for the AUDIO_TRANSCRIPTION task type. + + Stub: audio transcription task creation is not implemented yet. + """ + + def build(self) -> None: + raise NotImplementedError("Audio transcription task creation is not implemented yet") diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/__init__.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/base.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/base.py new file mode 100644 index 0000000000..fd5c0dd97c --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/base.py @@ -0,0 +1,155 @@ +from __future__ import annotations + +import random +from abc import ABCMeta, abstractmethod +from contextlib import ExitStack +from pathlib import Path +from tempfile import TemporaryDirectory +from time import sleep +from typing import TYPE_CHECKING + +from datumaro.util import take_by + +import src.cvat.api_calls as cvat_api +import src.services.cloud as cloud_service +from src.core.config import Config +from src.services.cloud import CloudProviders, StorageClient +from src.services.cloud.utils import BucketAccessInfo +from src.utils.logging import NullLogger +from src.utils.zip_archive import write_dir_to_zip_archive + +if TYPE_CHECKING: + from collections.abc import Generator + from logging import Logger + + import datumaro as dm + + from src.core.manifest import TaskManifest + + +class _TaskBuilderBase(metaclass=ABCMeta): + def __init__(self, manifest: TaskManifest, escrow_address: str, chain_id: int) -> None: + self.exit_stack = ExitStack() + self.manifest = manifest + self.escrow_address = escrow_address + self.chain_id = chain_id + + self.logger: Logger = NullLogger() + + self._oracle_data_bucket = BucketAccessInfo.parse_obj(Config.storage_config) + + @property + def _task_segment_size(self) -> int: + return self.manifest.annotation.job_size + + @property + def _job_val_frames_count(self) -> int: + return self.manifest.validation.val_size + + def __enter__(self): + return self + + def __exit__(self, *args, **kwargs): + self.close() + + def close(self): + self.exit_stack.close() + + def set_logger(self, logger: Logger): + # TODO: add escrow info into messages + self.logger = logger + return self + + @classmethod + def _make_cloud_storage_client(cls, bucket_info: BucketAccessInfo) -> StorageClient: + extra_args = {} + + if bucket_info.provider == CloudProviders.aws: + import boto3.session + + extra_args["config"] = boto3.session.Config( + max_pool_connections=Config.features.max_data_storage_connections + ) + elif bucket_info.provider == CloudProviders.gcs: + pass # TODO: test and add connections if needed + + return cloud_service.make_client(bucket_info, **extra_args) + + def _save_cvat_gt_dataset_to_oracle_bucket( # noqa: B027 + self, + gt_dataset_path: Path, + *, + file_suffix: str = "", + ) -> None: + # method saves gt annotations that will be uploaded to CVAT + # into oracle bucket + pass + + def _wait_task_creation(self, task_id: int) -> cvat_api.RequestStatus: + # TODO: add a timeout or + # save gt datasets in the oracle bucket and upload in track_task_creation() + while True: + task_status, _ = cvat_api.get_task_upload_status(task_id) + if task_status not in [cvat_api.RequestStatus.STARTED, cvat_api.RequestStatus.QUEUED]: + return task_status + + sleep(Config.cvat_config.task_creation_check_interval) + + def _setup_gt_job_for_cvat_task( + self, task_id: int, gt_dataset: dm.Dataset, *, dm_export_format: str = "coco" + ) -> None: + task_status = self._wait_task_creation(task_id) + if task_status != cvat_api.RequestStatus.FINISHED: + return # will be handled in state_trackers.py::track_task_creation + + dm_format_to_cvat_format = { + "coco": "COCO 1.0", + "cvat": "CVAT 1.1", + "datumaro": "Datumaro 1.0", + } + + with TemporaryDirectory() as tmp_dir: + export_dir = Path(tmp_dir) / "export" + gt_dataset.export(save_dir=str(export_dir), save_media=False, format=dm_export_format) + + annotations_archive_path = Path(tmp_dir) / "annotations.zip" + with annotations_archive_path.open("wb") as annotations_archive: + write_dir_to_zip_archive(export_dir, annotations_archive) + + if Config.is_development_mode(): + self._save_cvat_gt_dataset_to_oracle_bucket( + gt_dataset_path=annotations_archive_path, file_suffix=f"for_task_{task_id}" + ) + + self._setup_gt_job( + task_id, + annotations_archive_path, + format_name=dm_format_to_cvat_format[dm_export_format], + ) + + def _setup_gt_job(self, task_id: int, dataset_path: Path, format_name: str) -> None: + gt_job = cvat_api.get_gt_job(task_id) + cvat_api.upload_gt_annotations(gt_job.id, dataset_path, format_name=format_name) + cvat_api.finish_gt_job(gt_job.id) + + def _setup_quality_settings(self, task_id: int, **overrides) -> None: + settings = cvat_api.get_quality_control_settings(task_id) + + values = { + "target_metric_threshold": self.manifest.validation.min_quality, + "empty_is_annotated": True, + } + values.update(**overrides) + cvat_api.update_quality_control_settings(settings.id, **values) + + def _split_dataset_per_task( + self, + data_filenames: list[str], + *, + subset_size: int, + ) -> Generator[str]: + random.shuffle(data_filenames) + yield from take_by(data_filenames, subset_size) + + @abstractmethod + def build(self) -> None: ... diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py new file mode 100644 index 0000000000..088c1520f2 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py @@ -0,0 +1,327 @@ +from __future__ import annotations + +import math +import os +from tempfile import TemporaryDirectory +from typing import TYPE_CHECKING + +import datumaro as dm +import numpy as np + +import src.core.tasks.points as points_task +import src.core.tasks.simple as simple_task +import src.cvat.api_calls as cvat_api +import src.services.cloud as cloud_service +import src.services.cvat as db_service +from src.core.config import Config +from src.core.storage import compose_data_bucket_filename +from src.core.types import TaskStatuses +from src.db import SessionLocal +from src.models.cvat import Project +from src.services.cloud.utils import BucketAccessInfo +from src.utils.logging import format_sequence + +if TYPE_CHECKING: + from src.core.manifest import TaskManifest + +from src.core.tasks.cvat_formats import DM_GT_DATASET_FORMAT_MAPPING +from src.handlers.job_creation.builders.vision.base import _TaskBuilderBase +from src.handlers.job_creation.exceptions import ( + DatasetValidationError, + TooFewSamples, +) +from src.handlers.job_creation.utils import ( + _make_cvat_cloud_storage_params, + _MaybeUnset, + _unset, + filter_image_files, + make_label_configuration, +) + + +class SimpleTaskBuilder(_TaskBuilderBase): + """ + Handles task creation for the IMAGE_BOXES task type + """ + + def _upload_task_meta(self, gt_dataset: dm.Dataset): + layout = simple_task.TaskMetaLayout() + serializer = simple_task.TaskMetaSerializer() + + file_list = [] + file_list.append( + ( + serializer.serialize_gt_annotations(gt_dataset), + layout.GT_FILENAME, + ) + ) + + storage_client = self._make_cloud_storage_client(self._oracle_data_bucket) + for file_data, filename in file_list: + storage_client.create_file( + compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), + file_data, + ) + + def _parse_gt_dataset( + self, gt_file_data: bytes, *, add_prefix: str | None = None + ) -> dm.Dataset: + with TemporaryDirectory() as gt_temp_dir: + gt_filename = os.path.join(gt_temp_dir, "gt_annotations.json") + with open(gt_filename, "wb") as f: + f.write(gt_file_data) + + gt_dataset = dm.Dataset.import_from( + gt_filename, + format=DM_GT_DATASET_FORMAT_MAPPING[self.manifest.annotation.type], + ) + + if add_prefix: + gt_dataset = dm.Dataset.from_iterable( + [s.wrap(id=os.path.join(add_prefix, s.id)) for s in gt_dataset], + categories=gt_dataset.categories(), + media_type=gt_dataset.media_type(), + ) + + gt_dataset.init_cache() + + return gt_dataset + + def _get_gt_filenames( + self, gt_dataset: dm.Dataset, data_filenames: list[str], *, manifest: TaskManifest + ) -> list[str]: + gt_filenames = set(s.id + s.media.ext for s in gt_dataset) + known_data_filenames = set(data_filenames) + matched_gt_filenames = gt_filenames.intersection(known_data_filenames) + + if len(gt_filenames) != len(matched_gt_filenames): + missing_gt = gt_filenames - matched_gt_filenames + raise DatasetValidationError( + "Failed to find several validation samples in the dataset files: {}".format( + format_sequence(list(missing_gt)) + ) + ) + + if len(gt_filenames) < manifest.validation.val_size: + raise TooFewSamples( + f"Too few validation samples provided ({len(gt_filenames)}), " + f"at least {manifest.validation.val_size} required." + ) + + return list(matched_gt_filenames) + + def build(self): + manifest = self.manifest + escrow_address = self.escrow_address + chain_id = self.chain_id + + data_bucket = BucketAccessInfo.parse_obj(manifest.data.data_url) + gt_bucket = BucketAccessInfo.parse_obj(manifest.validation.gt_url) + + data_bucket_client = cloud_service.make_client(data_bucket) + gt_bucket_client = cloud_service.make_client(gt_bucket) + + # Task configuration creation + data_filenames = data_bucket_client.list_files(prefix=data_bucket.path) + data_filenames = filter_image_files(data_filenames) + + gt_file_data = gt_bucket_client.download_file(gt_bucket.path) + + # Validate and parse GT + gt_dataset = self._parse_gt_dataset(gt_file_data, add_prefix=data_bucket.path) + + # Create task configuration + gt_filenames = self._get_gt_filenames(gt_dataset, data_filenames, manifest=manifest) + data_to_be_annotated = [f for f in data_filenames if f not in set(gt_filenames)] + label_configuration = make_label_configuration(manifest) + + self._upload_task_meta(gt_dataset) + + # Register cloud storage on CVAT to pass user dataset + cloud_storage = cvat_api.create_cloudstorage(**_make_cvat_cloud_storage_params(data_bucket)) + + # Create a project + cvat_project = cvat_api.create_project( + escrow_address, + labels=label_configuration, + user_guide=manifest.annotation.user_guide, + ) + + # Setup webhooks for the project + cvat_webhook = cvat_api.create_cvat_webhook(cvat_project.id) + + with SessionLocal.begin() as session: + segment_size = self._task_segment_size + total_jobs = math.ceil(len(data_to_be_annotated) / segment_size) + + self.logger.info( + "Task creation for escrow '%s': will create %s assignments", + escrow_address, + total_jobs, + ) + db_service.create_escrow_creation( + session, escrow_address=escrow_address, chain_id=chain_id, total_jobs=total_jobs + ) + + project_id = db_service.create_project( + session, + cvat_project.id, + cloud_storage.id, + manifest.annotation.type, + escrow_address, + chain_id, + data_bucket.to_url(), + cvat_webhook_id=cvat_webhook.id, + ) + + db_service.get_project_by_id(session, project_id, for_update=True) # lock the row + db_service.add_project_images(session, cvat_project.id, data_filenames) + + for data_subset in self._split_dataset_per_task( + data_to_be_annotated, + subset_size=Config.cvat_config.max_jobs_per_task * segment_size, + ): + cvat_task = cvat_api.create_task( + cvat_project.id, escrow_address, segment_size=segment_size + ) + task_id = db_service.create_task( + session, cvat_task.id, cvat_project.id, TaskStatuses[cvat_task.status] + ) + db_service.get_task_by_id(session, task_id, for_update=True) # lock the row + + # The task is fully created once 'update:task' webhook is received. + cvat_api.put_task_data( + cvat_task.id, + cloud_storage.id, + filenames=data_subset, + validation_params={ + "gt_filenames": gt_filenames, # include whole GT dataset into each task + "gt_frames_per_job_count": self._job_val_frames_count, + }, + ) + + self._setup_gt_job_for_cvat_task(cvat_task.id, gt_dataset) + self._setup_quality_settings(cvat_task.id) + + db_service.create_data_upload(session, cvat_task.id) + db_service.touch(session, Project, [project_id]) + + +class PointsTaskBuilder(SimpleTaskBuilder): + def __init__(self, manifest: TaskManifest, escrow_address: str, chain_id: int) -> None: + super().__init__(manifest=manifest, escrow_address=escrow_address, chain_id=chain_id) + + self._mean_gt_bbox_radius_estimation: _MaybeUnset[float] = _unset + + def _parse_gt_dataset(self, gt_file_data, *, add_prefix=None): + gt_dataset = super()._parse_gt_dataset(gt_file_data, add_prefix=add_prefix) + + assert len(gt_dataset.categories()[dm.AnnotationType.label]) == 1 + label_id = 0 + + updated_gt_dataset = dm.Dataset(categories=gt_dataset.categories(), media_type=dm.Image) + + # Replace boxes with their center points + # Collect radius statistics + radiuses = [] + for gt_sample in gt_dataset: + image_size = gt_sample.media_as(dm.Image).size + image_half_diag = ((image_size[0] ** 2 + image_size[1] ** 2) ** 0.5) / 2 + + sample_points = [] + for gt_bbox in gt_sample.annotations: + if not isinstance(gt_bbox, dm.Bbox): + continue + + x, y, w, h = gt_bbox.get_bbox() + bbox_center = dm.Points([x + w / 2, y + h / 2], label=gt_bbox.label, id=gt_bbox.id) + + rel_int_bbox_radius = min(w, h) / 2 / image_half_diag + radiuses.append(rel_int_bbox_radius) + + sample_points.extend(bbox_center.points) + + # Join points into a single annotation for compatibility with CVAT capabilities + updated_anns = [] + if sample_points: + updated_anns.append(dm.Points(sample_points, label=label_id)) + + updated_gt_dataset.put(gt_sample.wrap(annotations=updated_anns)) + + self._mean_gt_bbox_radius_estimation = min(0.5, np.mean(radiuses).item()) + + return updated_gt_dataset + + def _upload_task_meta(self, gt_dataset: dm.Dataset): + layout = points_task.TaskMetaLayout() + serializer = points_task.TaskMetaSerializer() + + file_list = [] + file_list.append( + ( + serializer.serialize_gt_annotations(gt_dataset), + layout.GT_FILENAME, + ) + ) + + storage_client = self._make_cloud_storage_client(self._oracle_data_bucket) + for file_data, filename in file_list: + storage_client.create_file( + compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), + file_data, + ) + + def _setup_gt_job_for_cvat_task( + self, task_id: int, gt_dataset: dm.Dataset, *, dm_export_format: str = "datumaro" + ) -> None: + super()._setup_gt_job_for_cvat_task( + task_id=task_id, gt_dataset=gt_dataset, dm_export_format=dm_export_format + ) + + def _setup_quality_settings(self, task_id: int, **overrides) -> None: + assert self._mean_gt_bbox_radius_estimation is not _unset + + values = { + # We have at most 1 annotation per frame, so accuracy on each frame is either 0 or 1, + # regardless of the points count. For job accuracy we'll have: + # quality = mean frame accuracy = count of correct frames / validation frame count. + # If we set quality threshold from the manifest on this value, it can break quality + # requirements. + # Example: target quality is 80%, 6 frames, 1 has 20 points, 5 others have 1. + # Suppose the 5 frames with 1 point are annotated correctly and + # the one with 20 - is not annotated. The mean frame accuracy will be 5 / 6 ~ 83%, + # which is higher than the target quality, so the job will be accepted. + # The per-point mean (aka micro) accuracy will be 5 / (20 + 5) = 20%. + # + # Instead, we require that each frame matches with the required quality threshold, + # so the job accuracy is 1. This is a more strict requirement, from which + # follows that the job quality >= required. + # For each frame, as we have just 1 annotation, quality is computed as mean + # point quality on the frame with frame matching threshold. + # Point set accuracy is controlled by iou_threshold, + # so configure it with the requested quality value. + # + # TODO: consider adding a quality option to count points as separate, + # or implement and use the mean IoU as the target metric in CVAT. + "target_metric_threshold": 0.95, # some big number close to 1 + "iou_threshold": self.manifest.validation.min_quality, + "oks_sigma": self._mean_gt_bbox_radius_estimation, + "point_size_base": "image_size", + } + values.update(overrides) + super()._setup_quality_settings(task_id, **values) + + def build(self): + if len(self.manifest.annotation.labels) != 1: + # TODO: implement support for multiple labels + # Probably, need to split the whole task into projects per label + # for efficient annotation + raise NotImplementedError("Point annotation tasks can have only 1 label") + + return super().build() + + +class PolygonTaskBuilder(SimpleTaskBuilder): + def _setup_quality_settings(self, task_id: int, **overrides) -> None: + values = {"iou_threshold": Config.cvat_config.iou_threshold, **overrides} + super()._setup_quality_settings(task_id, **values) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py new file mode 100644 index 0000000000..e7bcafa60c --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py @@ -0,0 +1,1142 @@ +from __future__ import annotations + +import math +import os +import uuid +from concurrent.futures import Future, ThreadPoolExecutor +from itertools import groupby +from math import ceil +from pathlib import Path +from queue import Queue +from tempfile import TemporaryDirectory +from typing import TYPE_CHECKING, cast + +import cv2 +import datumaro as dm +import numpy as np +from datumaro.util import filter_dict +from datumaro.util.image import decode_image, encode_image + +import src.core.tasks.boxes_from_points as boxes_from_points_task +import src.core.tasks.skeletons_from_boxes as skeletons_from_boxes_task +import src.cvat.api_calls as cvat_api +import src.services.cvat as db_service +from src.core.config import Config +from src.core.storage import compose_data_bucket_filename, compose_data_bucket_prefix +from src.core.types import TaskStatuses +from src.db import SessionLocal +from src.models.cvat import Project +from src.services.cloud.utils import BucketAccessInfo +from src.utils.annotations import ProjectLabels, is_point_in_bbox +from src.utils.logging import format_sequence +from src.utils.roi_uploader import BufferedRoiImageUploader + +if TYPE_CHECKING: + from collections.abc import Sequence + + from src.core.manifest import TaskManifest + +from src.core.tasks.cvat_formats import DM_GT_DATASET_FORMAT_MAPPING +from src.handlers.job_creation.builders.vision.base import _TaskBuilderBase +from src.handlers.job_creation.exceptions import ( + DatasetValidationError, + InvalidCategories, + InvalidCoordinates, + InvalidImageInfo, + MismatchingAnnotations, + TooFewSamples, +) +from src.handlers.job_creation.utils import ( + _ExcludedAnnotationsInfo, + _make_cvat_cloud_storage_params, + _MaybeUnset, + _unset, + filter_image_files, + make_label_configuration, + strip_bucket_prefix, +) + + +class BoxesFromPointsTaskBuilder(_TaskBuilderBase): + def __init__(self, manifest: TaskManifest, escrow_address: str, chain_id: int) -> None: + super().__init__(manifest=manifest, escrow_address=escrow_address, chain_id=chain_id) + + self._input_gt_data: _MaybeUnset[bytes] = _unset + self._input_points_data: _MaybeUnset[bytes] = _unset + + self._data_filenames: _MaybeUnset[Sequence[str]] = _unset + self._input_gt_dataset: _MaybeUnset[dm.Dataset] = _unset + self._gt_dataset: _MaybeUnset[dm.Dataset] = _unset + self._gt_roi_dataset: _MaybeUnset[dm.Dataset] = _unset + self._points_dataset: _MaybeUnset[dm.Dataset] = _unset + + self._bbox_point_mapping: _MaybeUnset[boxes_from_points_task.BboxPointMapping] = _unset + "bbox_id -> point_id" + + self._roi_size_estimations: _MaybeUnset[dict[int, tuple[float, float]]] = _unset + "label_id -> (rel. w, rel. h)" + + self._rois: _MaybeUnset[boxes_from_points_task.RoiInfos] = _unset + self._roi_filenames: _MaybeUnset[boxes_from_points_task.RoiFilenames] = _unset + self._roi_filenames_to_be_annotated: _MaybeUnset[Sequence[str]] = _unset + self._gt_roi_filenames: _MaybeUnset[Sequence[str]] = _unset + + self._job_layout: _MaybeUnset[Sequence[Sequence[str]]] = _unset + "File lists per CVAT job" + + self._label_configuration: _MaybeUnset[Sequence[dict]] = _unset + + self._excluded_points_info: _MaybeUnset[_ExcludedAnnotationsInfo] = _unset + self._excluded_gt_info: _MaybeUnset[_ExcludedAnnotationsInfo] = _unset + + # Configuration / constants + # TODO: consider WebP if produced files are too big + self.roi_file_ext = ".png" # supposed to be lossless and reasonably compressing + "File extension for RoI images, with leading dot (.) included" + + self.list_display_threshold = 5 + "The maximum number of rendered list items in a message" + + self.roi_size_mult = 1.1 + "Additional point ROI size multiplier" + + self.min_roi_size = ( + Config.core_config.min_roi_size_w, + Config.core_config.min_roi_size_h, + ) + "Minimum absolute ROI size, (w, h)" + + self.points_format = "coco_person_keypoints" + + self.embed_point_in_roi_image = True + "Put a small point into the extracted RoI images for the original point" + + self.embedded_point_radius = 15 + self.min_embedded_point_radius_percent = 0.005 + self.max_embedded_point_radius_percent = 0.01 + self.embedded_point_color = (0, 255, 255) + self.roi_background_color = (245, 240, 242) # BGR - CVAT background color + + self.oracle_data_bucket = BucketAccessInfo.parse_obj(Config.storage_config) + + self.min_class_samples_for_roi_estimation = 25 + + self.max_class_roi_image_side_threshold = 0.5 + """ + The maximum allowed percent of the image for the estimated class RoI, + before the default RoI is used. Too big RoI estimations reduce the overall + prediction quality, making them unreliable. + """ + + self.max_discarded_threshold = 0.5 + """ + The maximum allowed percent of discarded + GT boxes, points, or samples for successful job launch + """ + + # TODO: probably, need to also add an absolute number of minimum GT RoIs + + def _download_input_data(self): + data_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) + gt_bucket = BucketAccessInfo.parse_obj(self.manifest.validation.gt_url) + points_bucket = BucketAccessInfo.parse_obj(self.manifest.data.points_url) + + data_storage_client = self._make_cloud_storage_client(data_bucket) + gt_storage_client = self._make_cloud_storage_client(gt_bucket) + points_storage_client = self._make_cloud_storage_client(points_bucket) + + data_filenames = data_storage_client.list_files(prefix=data_bucket.path) + data_filenames = strip_bucket_prefix(data_filenames, prefix=data_bucket.path) + self._data_filenames = filter_image_files(data_filenames) + + self._input_gt_data = gt_storage_client.download_file(gt_bucket.path) + self._input_gt_filename = Path(gt_bucket.path).name + + self._input_points_data = points_storage_client.download_file(points_bucket.path) + + def _parse_dataset(self, annotation_file_data: bytes, dataset_format: str) -> dm.Dataset: + temp_dir = self.exit_stack.enter_context(TemporaryDirectory()) + + annotation_filename = os.path.join(temp_dir, "annotations.json") + with open(annotation_filename, "wb") as f: + f.write(annotation_file_data) + + return dm.Dataset.import_from(annotation_filename, format=dataset_format) + + def _parse_gt(self): + assert self._input_gt_data is not _unset + + self._input_gt_dataset = self._parse_dataset( + self._input_gt_data, + dataset_format=DM_GT_DATASET_FORMAT_MAPPING[self.manifest.annotation.type], + ) + + def _parse_points(self): + assert self._input_points_data is not _unset + + self._points_dataset = self._parse_dataset( + self._input_points_data, dataset_format=self.points_format + ) + + def _validate_gt_labels(self): + gt_labels = set( + label.name + for label in self._input_gt_dataset.categories()[dm.AnnotationType.label] + if not label.parent + ) + manifest_labels = set(label.name for label in self.manifest.annotation.labels) + if gt_labels - manifest_labels: + raise DatasetValidationError( + "GT labels do not match job labels. Unknown labels: {}".format( + format_sequence(list(gt_labels - manifest_labels)), + ) + ) + + self._input_gt_dataset.transform( + ProjectLabels, dst_labels=[label.name for label in self.manifest.annotation.labels] + ) + self._input_gt_dataset.init_cache() + + def _validate_gt_filenames(self): + gt_filenames = set(s.id + s.media.ext for s in self._input_gt_dataset) + + known_data_filenames = set(self._data_filenames) + matched_gt_filenames = gt_filenames.intersection(known_data_filenames) + + if len(gt_filenames) != len(matched_gt_filenames): + extra_gt = list(map(os.path.basename, gt_filenames - matched_gt_filenames)) + + raise MismatchingAnnotations( + "Failed to find several validation samples in the dataset files: {}".format( + format_sequence(extra_gt) + ) + ) + + if len(gt_filenames) < self._job_val_frames_count: + raise TooFewSamples( + f"Too few validation samples provided ({len(gt_filenames)}), " + f"at least {self._job_val_frames_count} required." + ) + + def _validate_gt_annotations(self): + label_cat: dm.LabelCategories = self._input_gt_dataset.categories()[dm.AnnotationType.label] + + excluded_gt_info = _ExcludedAnnotationsInfo() + excluded_samples = set() + visited_ids = set() + for gt_sample in self._input_gt_dataset: + # Could fail on this as well + img_h, img_w = gt_sample.media_as(dm.Image).size + + sample_boxes = [a for a in gt_sample.annotations if isinstance(a, dm.Bbox)] + valid_boxes = [] + for bbox in sample_boxes: + if not ( + (0 <= int(bbox.x) < int(bbox.x + bbox.w) <= img_w) + and (0 <= int(bbox.y) < int(bbox.y + bbox.h) <= img_h) + ): + excluded_gt_info.add_message( + "Sample '{}': GT bbox #{} ({}) - invalid coordinates".format( + gt_sample.id, bbox.id, label_cat[bbox.label].name + ), + sample_id=gt_sample.id, + sample_subset=gt_sample.subset, + ) + continue + + if bbox.id in visited_ids: + excluded_gt_info.add_message( + "Sample '{}': GT bbox #{} ({}) skipped - repeated annotation id {}".format( + gt_sample.id, bbox.id, label_cat[bbox.label].name, bbox.id + ), + sample_id=gt_sample.id, + sample_subset=gt_sample.subset, + ) + continue + + valid_boxes.append(bbox) + + excluded_gt_info.excluded_count += len(sample_boxes) - len(valid_boxes) + excluded_gt_info.total_count += len(sample_boxes) + + if len(valid_boxes) != len(sample_boxes): + if not valid_boxes: + excluded_samples.add((gt_sample.id, gt_sample.subset)) + else: + self._input_gt_dataset.put(gt_sample.wrap(annotations=valid_boxes)) + + for excluded_sample in excluded_samples: + self._input_gt_dataset.remove(*excluded_sample) + + if excluded_gt_info.excluded_count: + self.logger.warning( + "Some GT boxes were excluded due to the errors found: \n{}".format( + format_sequence([e.message for e in excluded_gt_info.messages], separator="\n") + ) + ) + + if excluded_gt_info.excluded_count > ceil( + excluded_gt_info.total_count * self.max_discarded_threshold + ): + raise TooFewSamples( + "Too many GT boxes discarded, canceling job creation. Errors: {}".format( + format_sequence( + [error_info.message for error_info in excluded_gt_info.messages] + ) + ) + ) + + self._excluded_gt_info = excluded_gt_info + + def _validate_gt(self): + assert self._data_filenames is not _unset + assert self._input_gt_dataset is not _unset + + self._validate_gt_filenames() + self._validate_gt_labels() + self._validate_gt_annotations() + + def _validate_points_categories(self): + invalid_point_categories_messages = [] + points_dataset_categories = self._points_dataset.categories() + points_dataset_label_cat: dm.LabelCategories = points_dataset_categories[ + dm.AnnotationType.label + ] + for category_id, category in points_dataset_categories[ + dm.AnnotationType.points + ].items.items(): + if len(category.labels) != 1: + invalid_point_categories_messages.append( + "Category '{}' (#{}): {}".format( + points_dataset_label_cat[category_id].name, + category_id, + f"too many skeleton points ({len(category.labels)}), only 1 expected", + ) + ) + + if invalid_point_categories_messages: + raise InvalidCategories( + "Invalid categories in the input point annotations: {}".format( + format_sequence(invalid_point_categories_messages, separator="; ") + ) + ) + + points_labels = set(label.name for label in points_dataset_label_cat if not label.parent) + manifest_labels = set(label.name for label in self.manifest.annotation.labels) + if manifest_labels != points_labels: + raise DatasetValidationError("Point labels do not match job labels") + + self._points_dataset.transform( + ProjectLabels, dst_labels=[label.name for label in self.manifest.annotation.labels] + ) + self._points_dataset.init_cache() + + def _validate_points_filenames(self): + points_filenames = set(sample.id + sample.media.ext for sample in self._points_dataset) + + known_data_filenames = set(self._data_filenames) + matched_points_filenames = points_filenames.intersection(known_data_filenames) + + if len(matched_points_filenames) != len(points_filenames): + extra_point_samples = list( + map(os.path.basename, points_filenames - matched_points_filenames) + ) + + raise MismatchingAnnotations( + "Failed to find several samples in the dataset files: {}".format( + format_sequence(extra_point_samples), + ) + ) + + def _validate_points_annotations(self): + def _validate_skeleton(skeleton: dm.Skeleton, *, sample_bbox: dm.Bbox): + if skeleton.id in visited_ids: + raise DatasetValidationError(f"repeated annotation id ({skeleton.id})") + + if len(skeleton.elements) != 1: + raise DatasetValidationError( + f"invalid points count ({len(skeleton.elements)}), expected 1" + ) + + point = skeleton.elements[0] + px, py = point.points[:2] + if not is_point_in_bbox(px, py, sample_bbox): + raise InvalidCoordinates("coordinates are outside image") + + label_cat: dm.LabelCategories = self._points_dataset.categories()[dm.AnnotationType.label] + + excluded_points_info = _ExcludedAnnotationsInfo() + excluded_samples = set() + visited_ids = set() + for sample in self._points_dataset: + # Could fail on this as well + image_h, image_w = sample.image.size + sample_bbox = dm.Bbox(0, 0, w=image_w, h=image_h) + + sample_skeletons = [a for a in sample.annotations if isinstance(a, dm.Skeleton)] + valid_skeletons = [] + for skeleton in sample_skeletons: + # Here 1 skeleton describes 1 point + try: + _validate_skeleton(skeleton, sample_bbox=sample_bbox) + except InvalidCoordinates as error: + excluded_points_info.add_message( + "Sample '{}': point #{} ({}) skipped - {}".format( + sample.id, skeleton.id, label_cat[skeleton.label].name, error + ), + sample_id=sample.id, + sample_subset=sample.subset, + ) + continue + except DatasetValidationError as error: + excluded_points_info.add_message( + "Sample '{}': point #{} ({}) - {}".format( + sample.id, skeleton.id, label_cat[skeleton.label].name, error + ), + sample_id=sample.id, + sample_subset=sample.subset, + ) + continue + + valid_skeletons.append(skeleton) + + excluded_points_info.excluded_count += len(sample_skeletons) - len(valid_skeletons) + excluded_points_info.total_count += len(sample_skeletons) + + if len(valid_skeletons) != len(sample_skeletons): + if not valid_skeletons: + excluded_samples.add((sample.id, sample.subset)) + else: + self._points_dataset.put(sample.wrap(annotations=valid_skeletons)) + + for excluded_sample in excluded_samples: + self._points_dataset.remove(*excluded_sample) + + if excluded_points_info.excluded_count: + self.logger.warning( + "Some points were excluded due to the errors found: \n{}".format( + format_sequence( + [e.message for e in excluded_points_info.messages], separator="\n" + ) + ) + ) + + if excluded_points_info.excluded_count > ceil( + excluded_points_info.total_count * self.max_discarded_threshold + ): + raise TooFewSamples( + "Too many points discarded, canceling job creation. Errors: {}".format( + format_sequence( + [error_info.message for error_info in excluded_points_info.messages] + ) + ) + ) + + self._excluded_points_info = excluded_points_info + + def _validate_points(self): + assert self._data_filenames is not _unset + assert self._points_dataset is not _unset + + self._validate_points_categories() + self._validate_points_filenames() + self._validate_points_annotations() + + @staticmethod + def _is_point_in_bbox(px: float, py: float, bbox: dm.Bbox) -> bool: + return is_point_in_bbox(px, py, bbox) + + def _prepare_gt(self): + def _find_unambiguous_matches( + input_skeletons: list[dm.Skeleton], + gt_boxes: list[dm.Bbox], + ) -> list[tuple[dm.Skeleton, dm.Bbox]]: + matches = [ + [ + (input_skeleton.label == gt_bbox.label) + and ( + self._is_point_in_bbox( + *input_skeleton.elements[0].points[0:2], bbox=gt_bbox + ) + ) + for gt_bbox in gt_boxes + ] + for input_skeleton in input_skeletons + ] + + ambiguous_boxes: list[int] = set() + ambiguous_skeletons: list[int] = set() + for skeleton_idx, input_skeleton in enumerate(input_skeletons): + matched_boxes: list[dm.Bbox] = [ + gt_boxes[j] for j in range(len(gt_boxes)) if matches[skeleton_idx][j] + ] + + if len(matched_boxes) > 1: + # Handle ambiguous matches + excluded_points_info.add_message( + "Sample '{}': point #{} ({}) and overlapping boxes skipped - " + "too many matching boxes ({}) found".format( + points_sample.id, + input_skeleton.id, + points_label_cat[input_skeleton.label].name, + format_sequence([f"#{a.id}" for a in matched_boxes]), + ), + sample_id=points_sample.id, + sample_subset=points_sample.subset, + ) + # not an error, should not be counted as excluded for an error + ambiguous_skeletons.add(input_skeleton.id) + ambiguous_boxes.update(a.id for a in matched_boxes) + continue + + for gt_idx, gt_bbox in enumerate(gt_boxes): + matched_skeletons: list[dm.Skeleton] = [ + input_skeletons[i] for i in range(len(input_skeletons)) if matches[i][gt_idx] + ] + + if len(matched_skeletons) > 1: + # Handle ambiguous matches + excluded_gt_info.add_message( + "Sample '{}': GT bbox #{} ({}) and overlapping points skipped - " + "too many matching points ({}) found".format( + gt_sample.id, + gt_bbox.id, + gt_label_cat[gt_bbox.label].name, + format_sequence([f"#{a.id}" for a in matched_skeletons]), + ), + sample_id=gt_sample.id, + sample_subset=gt_sample.subset, + ) + # not an error, should not be counted as excluded for an error + ambiguous_boxes.add(gt_bbox.id) + ambiguous_skeletons.update(a.id for a in matched_skeletons) + continue + if not matched_skeletons: + # Handle unmatched skeletons + excluded_gt_info.add_message( + "Sample '{}': GT bbox #{} ({}) skipped - no matching points found".format( + gt_sample.id, + gt_bbox.id, + gt_label_cat[gt_bbox.label].name, + ), + sample_id=gt_sample.id, + sample_subset=gt_sample.subset, + ) + excluded_gt_info.excluded_count += 1 # an error + continue + + unambiguous_matches: list[tuple[dm.Bbox, dm.Skeleton]] = [] + for skeleton_idx, input_skeleton in enumerate(input_skeletons): + if input_skeleton.id in ambiguous_skeletons: + continue + + matched_bbox = None + for gt_idx, gt_bbox in enumerate(gt_boxes): + if gt_bbox.id in ambiguous_boxes: + continue + + if matches[skeleton_idx][gt_idx]: + matched_bbox = gt_bbox + break + + if matched_bbox: + unambiguous_matches.append((input_skeleton, matched_bbox)) + + return unambiguous_matches + + def _find_good_gt_boxes( + input_skeletons: list[dm.Skeleton], + gt_boxes: list[dm.Bbox], + ) -> list[dm.Bbox]: + matches = _find_unambiguous_matches(input_skeletons, gt_boxes) + + matched_boxes = [] + for input_skeleton, gt_bbox in matches: + gt_count_per_class[gt_bbox.label] = gt_count_per_class.get(gt_bbox.label, 0) + 1 + + matched_boxes.append(gt_bbox) + bbox_point_mapping[gt_bbox.id] = input_skeleton.id + + return matched_boxes + + assert self._data_filenames is not _unset + assert self._points_dataset is not _unset + assert self._input_gt_dataset is not _unset + assert [ + label.name for label in self._input_gt_dataset.categories()[dm.AnnotationType.label] + ] == [label.name for label in self.manifest.annotation.labels] + assert [ + label.name + for label in self._points_dataset.categories()[dm.AnnotationType.label] + if not label.parent + ] == [label.name for label in self.manifest.annotation.labels] + + points_label_cat: dm.LabelCategories = self._points_dataset.categories()[ + dm.AnnotationType.label + ] + gt_label_cat: dm.LabelCategories = self._input_gt_dataset.categories()[ + dm.AnnotationType.label + ] + + updated_gt_dataset = dm.Dataset( + categories=self._input_gt_dataset.categories(), media_type=dm.Image + ) + + excluded_points_info = _ExcludedAnnotationsInfo() # local for the function + excluded_gt_info = self._excluded_gt_info + gt_count_per_class = {} + bbox_point_mapping = {} # bbox id -> point id + for gt_sample in self._input_gt_dataset: + points_sample = self._points_dataset.get(gt_sample.id, gt_sample.subset) + assert points_sample + + gt_boxes = [a for a in gt_sample.annotations if isinstance(a, dm.Bbox)] + input_skeletons = [a for a in points_sample.annotations if isinstance(a, dm.Skeleton)] + + # Samples without boxes are allowed, so we just skip them without an error + if not gt_boxes: + continue + + matched_boxes = _find_good_gt_boxes(input_skeletons, gt_boxes) + if not matched_boxes: + continue + + updated_gt_dataset.put(gt_sample.wrap(annotations=matched_boxes)) + + if excluded_points_info.messages: + self.logger.warning( + "Some points were excluded from GT due to the problems found: \n{}".format( + format_sequence( + [e.message for e in excluded_points_info.messages], separator="\n" + ) + ) + ) + + if excluded_gt_info.messages: + self.logger.warning( + "Some GT annotations were excluded due to the problems found: \n{}".format( + format_sequence([e.message for e in excluded_gt_info.messages], separator="\n") + ) + ) + + if excluded_gt_info.excluded_count > ceil( + excluded_gt_info.total_count * self.max_discarded_threshold + ): + raise DatasetValidationError( + "Too many GT boxes discarded ({} out of {}). " + "Please make sure each GT box matches exactly 1 point".format( + excluded_gt_info.total_count - len(bbox_point_mapping), + excluded_gt_info.total_count, + ) + ) + + self.logger.info( + "GT counts per class to be used for validation: {}".format( + format_sequence( + [ + f"{gt_label_cat[label_id].name}: {count}" + for label_id, count in gt_count_per_class.items() + ] + ) + ) + ) + + gt_labels_without_anns = [ + gt_label_cat[label_id] + for label_id, label_count in gt_count_per_class.items() + if not label_count + ] + if gt_labels_without_anns: + raise DatasetValidationError( + "No matching GT boxes/points annotations found for some classes: {}".format( + format_sequence(gt_labels_without_anns) + ) + ) + + self._gt_dataset = updated_gt_dataset + self._bbox_point_mapping = bbox_point_mapping + + def _estimate_roi_sizes(self): + assert self._gt_dataset is not _unset + assert [label.name for label in self._gt_dataset.categories()[dm.AnnotationType.label]] == [ + label.name for label in self.manifest.annotation.labels + ] + + bbox_sizes_per_label = {} + for sample in self._gt_dataset: + image_h, image_w = self._points_dataset.get(sample.id, sample.subset).image.size + + for gt_bbox in sample.annotations: + gt_bbox = cast("dm.Bbox", gt_bbox) + bbox_sizes_per_label.setdefault(gt_bbox.label, []).append( + ( + gt_bbox.w / image_w, + gt_bbox.h / image_h, + ) + ) + + # Consider bbox sides as normally-distributed random variables, estimate max + # For big enough datasets, it should be reasonable approximation + # (due to the central limit theorem). This can work bad for small datasets, + # so we only do this if there are enough class samples. + classes_with_default_roi: dict[int, str] = {} # label_id -> reason + roi_size_estimations_per_label = {} # label id -> (w, h) + default_roi_size = (2, 2) # 2 will yield just the image size after halving + for label_id, label_sizes in bbox_sizes_per_label.items(): + if len(label_sizes) < self.min_class_samples_for_roi_estimation: + estimated_size = default_roi_size + classes_with_default_roi[label_id] = "too few GT provided" + else: + max_bbox = np.max(label_sizes, axis=0) + if np.any(max_bbox > self.max_class_roi_image_side_threshold): + estimated_size = default_roi_size + classes_with_default_roi[label_id] = "estimated RoI is unreliable" + else: + estimated_size = 2 * max_bbox * self.roi_size_mult + + roi_size_estimations_per_label[label_id] = estimated_size + + if classes_with_default_roi: + label_cat = self._gt_dataset.categories()[dm.AnnotationType.label] + labels_by_reason = { + g_reason: [v[0] for v in g_items] + for g_reason, g_items in groupby( + sorted(classes_with_default_roi.items(), key=lambda v: v[1]), key=lambda v: v[1] + ) + } + self.logger.warning( + "Some classes will use the full image instead of RoI - {}".format( + "; ".join( + "{}: {}".format( + g_reason, + format_sequence([label_cat[label_id].name for label_id in g_labels]), + ) + for g_reason, g_labels in labels_by_reason.items() + ) + ) + ) + + self._roi_size_estimations = roi_size_estimations_per_label + + def _prepare_roi_info(self): + assert self._gt_dataset is not _unset + assert self._roi_size_estimations is not _unset + assert self._points_dataset is not _unset + + rois: list[boxes_from_points_task.RoiInfo] = [] + for sample in self._points_dataset: + for skeleton in sample.annotations: + if not isinstance(skeleton, dm.Skeleton): + continue + + point_label_id = skeleton.label + original_point_x, original_point_y = skeleton.elements[0].points[:2] + original_point_x = int(original_point_x) + original_point_y = int(original_point_y) + + image_h, image_w = sample.image.size + + roi_est_w, roi_est_h = self._roi_size_estimations[point_label_id] + roi_est_w *= image_w + roi_est_h *= image_h + roi_est_w = max(roi_est_w, self.min_roi_size[0]) + roi_est_h = max(roi_est_h, self.min_roi_size[1]) + + roi_left = max(0, original_point_x - int(roi_est_w / 2)) + roi_top = max(0, original_point_y - int(roi_est_h / 2)) + roi_right = min(image_w, original_point_x + ceil(roi_est_w / 2)) + roi_bottom = min(image_h, original_point_y + ceil(roi_est_h / 2)) + + roi_w = roi_right - roi_left + roi_h = roi_bottom - roi_top + + new_point_x = original_point_x - roi_left + new_point_y = original_point_y - roi_top + + rois.append( + boxes_from_points_task.RoiInfo( + point_id=skeleton.id, + original_image_key=sample.attributes["id"], + point_x=new_point_x, + point_y=new_point_y, + roi_x=roi_left, + roi_y=roi_top, + roi_w=roi_w, + roi_h=roi_h, + ) + ) + + self._rois = rois + + def _mangle_filenames(self): + """ + Mangle filenames in the dataset to make them less recognizable by annotators + and hide private dataset info + """ + assert self._rois is not _unset + + # TODO: maybe add different names for the same GT images in + # different jobs to make them even less recognizable + self._roi_filenames = { + roi.point_id: str(uuid.uuid4()) + self.roi_file_ext for roi in self._rois + } + + def _prepare_job_layout(self): + assert self._rois is not _unset + assert self._bbox_point_mapping is not _unset + assert self._input_gt_dataset is not _unset + + # This list can be different from what is selected for validation + input_gt_filenames = set(sample.media.path for sample in self._input_gt_dataset) + original_image_id_to_filename = { + sample.attributes["id"]: sample.media.path for sample in self._points_dataset + } + point_id_to_original_image_id = {roi.point_id: roi.original_image_key for roi in self._rois} + + gt_point_ids = set(self._bbox_point_mapping.values()) + self._gt_roi_filenames = [self._roi_filenames[point_id] for point_id in gt_point_ids] + self._roi_filenames_to_be_annotated = [ + fn + for point_id, fn in self._roi_filenames.items() + if point_id not in gt_point_ids + if original_image_id_to_filename[point_id_to_original_image_id[point_id]] + not in input_gt_filenames + ] + + def _prepare_label_configuration(self): + self._label_configuration = make_label_configuration(self.manifest) + + def _upload_task_meta(self): + layout = boxes_from_points_task.TaskMetaLayout() + serializer = boxes_from_points_task.TaskMetaSerializer() + + file_list = [] + file_list.append((self._input_points_data, layout.POINTS_FILENAME)) + file_list.append( + ( + serializer.serialize_gt_annotations(self._gt_dataset), + layout.GT_FILENAME, + ) + ) + file_list.append( + ( + serializer.serialize_bbox_point_mapping(self._bbox_point_mapping), + layout.BBOX_POINT_MAPPING_FILENAME, + ) + ) + file_list.append((serializer.serialize_roi_info(self._rois), layout.ROI_INFO_FILENAME)) + file_list.append( + (serializer.serialize_roi_filenames(self._roi_filenames), layout.ROI_FILENAMES_FILENAME) + ) + + storage_client = self._make_cloud_storage_client(self.oracle_data_bucket) + for file_data, filename in file_list: + storage_client.create_file( + compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), + file_data, + ) + + def _extract_roi( + self, source_pixels: np.ndarray, roi_info: boxes_from_points_task.RoiInfo + ) -> np.ndarray: + img_h, img_w, *_ = source_pixels.shape + + roi_pixels = source_pixels[ + max(0, roi_info.roi_y) : min(img_h, roi_info.roi_y + roi_info.roi_h), + max(0, roi_info.roi_x) : min(img_w, roi_info.roi_x + roi_info.roi_w), + ] + + if not ( + (0 <= roi_info.roi_x < roi_info.roi_x + roi_info.roi_w < img_w) + and (0 <= roi_info.roi_y < roi_info.roi_y + roi_info.roi_h < img_h) + ): + # Coords can be outside the original image + # In this case a border should be added to RoI, so that the image was centered on bbox + wrapped_roi_pixels = np.zeros((roi_info.roi_h, roi_info.roi_w, 3), dtype=np.float32) + wrapped_roi_pixels[:, :] = self.roi_background_color + + dst_y = max(-roi_info.roi_y, 0) + dst_x = max(-roi_info.roi_x, 0) + wrapped_roi_pixels[ + dst_y : dst_y + roi_pixels.shape[0], + dst_x : dst_x + roi_pixels.shape[1], + ] = roi_pixels + + roi_pixels = wrapped_roi_pixels + else: + roi_pixels = roi_pixels.copy() + + return roi_pixels + + def _draw_roi_point( + self, roi_pixels: np.ndarray, roi_info: boxes_from_points_task.RoiInfo + ) -> np.ndarray: + center = (roi_info.point_x, roi_info.point_y) + + roi_r = (roi_info.roi_w**2 + roi_info.roi_h**2) ** 0.5 / 2 + point_size = int( + min( + self.max_embedded_point_radius_percent * roi_r, + max(self.embedded_point_radius, self.min_embedded_point_radius_percent * roi_r), + ) + ) + + roi_pixels = roi_pixels.copy() + roi_pixels = cv2.circle( + roi_pixels, + center, + point_size + 1, + (255, 255, 255), + cv2.FILLED, + ) + return cv2.circle( + roi_pixels, + center, + point_size, + self.embedded_point_color, + cv2.FILLED, + ) + + def _extract_and_upload_rois(self): + assert self._points_dataset is not _unset + assert self._rois is not _unset + assert self._data_filenames is not _unset + assert self._roi_filenames is not _unset + + src_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) + src_prefix = src_bucket.path + dst_bucket = self.oracle_data_bucket + + src_client = self._make_cloud_storage_client(src_bucket) + dst_client = self._make_cloud_storage_client(dst_bucket) + + image_id_to_filename = { + sample.attributes["id"]: sample.image.path for sample in self._points_dataset + } + + filename_to_sample = {sample.image.path: sample for sample in self._points_dataset} + + def _roi_key(e): + return e.original_image_key + + rois_by_image: dict[str, Sequence[boxes_from_points_task.RoiInfo]] = { + image_id_to_filename[image_id]: list(g) + for image_id, g in groupby(sorted(self._rois, key=_roi_key), key=_roi_key) + } + + def process_file(filename: str, image_pixels: np.ndarray): + image_roi_infos = rois_by_image.get(filename, []) + if not image_roi_infos: + return + + sample = filename_to_sample[filename] + if tuple(sample.image.size) != tuple(image_pixels.shape[:2]): + # TODO: maybe rois should be regenerated instead + # Option 2: accumulate errors, fail when some threshold is reached + # Option 3: add special handling for cases when image is only rotated (exif etc.) + raise InvalidImageInfo( + f"Sample '{filename}': invalid size provided in the point annotations" + ) + + image_rois = {} + for roi_info in image_roi_infos: + roi_pixels = self._extract_roi(image_pixels, roi_info) + + if self.embed_point_in_roi_image: + roi_pixels = self._draw_roi_point(roi_pixels, roi_info) + + roi_filename = self._roi_filenames[roi_info.point_id] + roi_bytes = encode_image(roi_pixels, os.path.splitext(roi_filename)[-1]) + + image_rois[roi_filename] = roi_bytes + + for roi_filename, roi_bytes in image_rois.items(): + dst_client.create_file( + compose_data_bucket_filename(self.escrow_address, self.chain_id, roi_filename), + roi_bytes, + ) + + def download_and_decode(key: str): + image_bytes = src_client.download_file(key) + return decode_image(image_bytes) + + pool_size = Config.features.max_data_storage_connections + download_queue_size = 4 * pool_size + download_queue = Queue[tuple[str, Future[np.ndarray]]](download_queue_size) + roi_uploader = BufferedRoiImageUploader(queue=download_queue) + with ThreadPoolExecutor(pool_size) as pool: + + def put_callback(filename: str): + image_roi_infos = rois_by_image.get(filename, []) + if not image_roi_infos: + return None + + return ( + filename, + pool.submit(download_and_decode, os.path.join(src_prefix, filename)), + ) + + def process_callback(result: tuple[str, Future]): + filename, task = result + process_file(filename, task.result()) + + roi_uploader.process_all( + self._data_filenames, put_callback=put_callback, process_callback=process_callback + ) + + def _prepare_gt_roi_dataset(self): + self._gt_roi_dataset = dm.Dataset( + categories=self._gt_dataset.categories(), media_type=dm.Image + ) + + roi_info_by_point_id: dict[int, skeletons_from_boxes_task.RoiInfo] = { + roi_info.point_id: roi_info for roi_info in self._rois + } + + for sample in self._gt_dataset: + for gt_bbox in sample.annotations: + assert isinstance(gt_bbox, dm.Bbox) + + point_id = self._bbox_point_mapping[gt_bbox.id] + gt_roi_filename = compose_data_bucket_filename( + self.escrow_address, self.chain_id, self._roi_filenames[point_id] + ) + + # update gt bbox coordinates to match RoI shift + roi_info = roi_info_by_point_id[point_id] + new_x = gt_bbox.points[0] - roi_info.roi_x + new_y = gt_bbox.points[1] - roi_info.roi_y + + self._gt_roi_dataset.put( + sample.wrap( + id=os.path.splitext(gt_roi_filename)[0], + annotations=[gt_bbox.wrap(x=new_x, y=new_y)], + media=dm.Image(path=gt_roi_filename, size=sample.media_as(dm.Image).size), + attributes=filter_dict(sample.attributes, exclude_keys=["id"]), + ) + ) + + assert len(self._gt_roi_dataset) == len(self._gt_roi_filenames) + + def _create_on_cvat(self): + assert self._roi_filenames_to_be_annotated is not _unset + assert self._gt_roi_filenames is not _unset + assert self._label_configuration is not _unset + assert self._gt_roi_dataset is not _unset + + oracle_bucket = self.oracle_data_bucket + + # Register cloud storage on CVAT to pass user dataset + cvat_cloud_storage = cvat_api.create_cloudstorage( + **_make_cvat_cloud_storage_params(oracle_bucket) + ) + + # Create a project + cvat_project = cvat_api.create_project( + self.escrow_address, + labels=self._label_configuration, + user_guide=self.manifest.annotation.user_guide, + ) + + # Setup webhooks for the project + cvat_webhook = cvat_api.create_cvat_webhook(cvat_project.id) + + with SessionLocal.begin() as session: + segment_size = self._task_segment_size + total_jobs = math.ceil(len(self._roi_filenames_to_be_annotated) / segment_size) + self.logger.info( + "Task creation for escrow '%s': will create %s assignments", + self.escrow_address, + total_jobs, + ) + db_service.create_escrow_creation( + session, + escrow_address=self.escrow_address, + chain_id=self.chain_id, + total_jobs=total_jobs, + ) + + project_id = db_service.create_project( + session, + cvat_project.id, + cvat_cloud_storage.id, + self.manifest.annotation.type, + self.escrow_address, + self.chain_id, + oracle_bucket.to_url().rstrip("/") + + "/" + + compose_data_bucket_prefix(self.escrow_address, self.chain_id), + cvat_webhook_id=cvat_webhook.id, + ) + db_service.get_project_by_id(session, project_id, for_update=True) # lock the row + db_service.add_project_images( + session, + cvat_project.id, + [ + compose_data_bucket_filename(self.escrow_address, self.chain_id, fn) + for fn in self._roi_filenames.values() + ], + ) + + for data_subset in self._split_dataset_per_task( + self._roi_filenames_to_be_annotated, + subset_size=Config.cvat_config.max_jobs_per_task * segment_size, + ): + cvat_task = cvat_api.create_task( + cvat_project.id, self.escrow_address, segment_size=segment_size + ) + + task_id = db_service.create_task( + session, cvat_task.id, cvat_project.id, TaskStatuses[cvat_task.status] + ) + db_service.get_task_by_id(session, task_id, for_update=True) # lock the row + + filenames = [ + compose_data_bucket_filename(self.escrow_address, self.chain_id, fn) + for fn in data_subset + ] + gt_filenames = [ + compose_data_bucket_filename(self.escrow_address, self.chain_id, fn) + for fn in self._gt_roi_filenames + ] + + cvat_api.put_task_data( + cvat_task.id, + cvat_cloud_storage.id, + filenames=filenames, + validation_params={ + "gt_filenames": gt_filenames, + "gt_frames_per_job_count": self._job_val_frames_count, + }, + ) + + self._setup_gt_job_for_cvat_task( + cvat_task.id, self._gt_roi_dataset, dm_export_format="coco" + ) + self._setup_quality_settings(cvat_task.id) + + db_service.create_data_upload(session, cvat_task.id) + + db_service.touch(session, Project, [project_id]) + + def build(self): + self._download_input_data() + self._parse_gt() + self._parse_points() + self._validate_gt() + self._validate_points() + + # Task configuration creation + self._prepare_gt() + self._estimate_roi_sizes() + self._prepare_roi_info() + self._mangle_filenames() + self._prepare_label_configuration() + self._prepare_job_layout() + self._prepare_gt_roi_dataset() + + # Data preparation + self._extract_and_upload_rois() + self._upload_task_meta() + + self._create_on_cvat() diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py new file mode 100644 index 0000000000..042429442b --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py @@ -0,0 +1,1404 @@ +from __future__ import annotations + +import math +import os +import random +import uuid +from concurrent.futures import Future, ThreadPoolExecutor +from dataclasses import dataclass +from itertools import chain, groupby +from math import ceil +from queue import Queue +from tempfile import TemporaryDirectory +from typing import TYPE_CHECKING + +import cv2 +import datumaro as dm +import numpy as np +from datumaro.util import take_by +from datumaro.util.annotation_util import BboxCoords, bbox_iou, find_instances +from datumaro.util.image import decode_image, encode_image + +import src.core.tasks.skeletons_from_boxes as skeletons_from_boxes_task +import src.cvat.api_calls as cvat_api +import src.services.cvat as db_service +from src.core.config import Config +from src.core.storage import compose_data_bucket_filename, compose_data_bucket_prefix +from src.core.types import TaskStatuses +from src.db import SessionLocal +from src.models.cvat import Project +from src.services.cloud.utils import BucketAccessInfo +from src.utils.annotations import InstanceSegmentsToBbox, ProjectLabels, is_point_in_bbox +from src.utils.logging import format_sequence +from src.utils.roi_uploader import BufferedRoiImageUploader + +if TYPE_CHECKING: + from collections.abc import Sequence + from pathlib import Path + + from src.core.manifest import TaskManifest + +from src.core.tasks.cvat_formats import DM_GT_DATASET_FORMAT_MAPPING +from src.handlers.job_creation.builders.vision.base import _TaskBuilderBase +from src.handlers.job_creation.exceptions import ( + DatasetValidationError, + InvalidCoordinates, + InvalidImageInfo, + MismatchingAnnotations, + TooFewSamples, +) +from src.handlers.job_creation.utils import ( + _ExcludedAnnotationsInfo, + _make_cvat_cloud_storage_params, + _MaybeUnset, + _unset, + filter_image_files, + strip_bucket_prefix, +) + + +class SkeletonsFromBoxesTaskBuilder(_TaskBuilderBase): + @dataclass + class _TaskParams: + label_id: int + roi_ids: list[int] + roi_gt_ids: list[int] + + def __init__(self, manifest: TaskManifest, escrow_address: str, chain_id: int) -> None: + super().__init__(manifest=manifest, escrow_address=escrow_address, chain_id=chain_id) + + self._input_gt_data: _MaybeUnset[bytes] = _unset + self._input_boxes_data: _MaybeUnset[bytes] = _unset + + self._data_filenames: _MaybeUnset[Sequence[str]] = _unset + self._input_gt_dataset: _MaybeUnset[dm.Dataset] = _unset + self._gt_dataset: _MaybeUnset[dm.Dataset] = _unset + self._boxes_dataset: _MaybeUnset[dm.Dataset] = _unset + + self._skeleton_bbox_mapping: _MaybeUnset[skeletons_from_boxes_task.SkeletonBboxMapping] = ( + _unset + ) + self._roi_infos: _MaybeUnset[skeletons_from_boxes_task.RoiInfos] = _unset + self._roi_info_by_id: _MaybeUnset[dict[int, skeletons_from_boxes_task.RoiInfo]] = _unset + + self._gt_points_per_label: _MaybeUnset[ + dict[tuple[int, str], Sequence[tuple[int, dm.Points]]] + ] = _unset + "(skeleton_label_id, point_label_name) to [(skeleton_id, point), ...]" + + self._roi_filenames: _MaybeUnset[dict[int, str]] = _unset + + self._task_params: _MaybeUnset[list[self._TaskParams]] = _unset + + self._excluded_gt_info: _MaybeUnset[_ExcludedAnnotationsInfo] = _unset + self._excluded_boxes_info: _MaybeUnset[_ExcludedAnnotationsInfo] = _unset + + # Configuration / constants + self.job_size_mult = skeletons_from_boxes_task.DEFAULT_ASSIGNMENT_SIZE_MULTIPLIER + "Job size multiplier" + + # TODO: consider WebP if produced files are too big + self.roi_file_ext = ".png" # supposed to be lossless and reasonably compressing + "File extension for RoI images, with leading dot (.) included" + + self.list_display_threshold = 5 + "The maximum number of rendered list items in a message" + + self.roi_size_mult = 1.1 + "Additional point ROI size multiplier" + + self.min_roi_size = ( + Config.core_config.min_roi_size_w, + Config.core_config.min_roi_size_h, + ) + "Minimum absolute ROI size, (w, h)" + + self.boxes_format = "coco_person_keypoints" + + self.embed_bbox_in_roi_image = True + "Put a bbox into the extracted skeleton RoI images" + + self.embed_tile_border = True + + self.embedded_point_radius = 15 + self.min_embedded_point_radius_percent = 0.005 + self.max_embedded_point_radius_percent = 0.01 + self.embedded_point_color = (0, 255, 255) + + self.roi_embedded_bbox_color = (0, 255, 255) # BGR + self.roi_background_color = (245, 240, 242) # BGR - CVAT background color + + self.oracle_data_bucket = BucketAccessInfo.parse_obj(Config.storage_config) + + self.min_label_gt_samples = 2 # TODO: find good threshold + + self.max_discarded_threshold = 0.5 + """ + The maximum allowed percent of discarded + GT annotations or samples for successful job launch + """ + + self.gt_id_attribute = "object_id" + "An additional way to match GT skeletons with input boxes" + + # TODO: probably, need to also add an absolute number of minimum GT RoIs per class + + def _download_input_data(self): + data_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) + gt_bucket = BucketAccessInfo.parse_obj(self.manifest.validation.gt_url) + boxes_bucket = BucketAccessInfo.parse_obj(self.manifest.data.boxes_url) + + data_storage_client = self._make_cloud_storage_client(data_bucket) + gt_storage_client = self._make_cloud_storage_client(gt_bucket) + boxes_storage_client = self._make_cloud_storage_client(boxes_bucket) + + data_filenames = data_storage_client.list_files(prefix=data_bucket.path) + data_filenames = strip_bucket_prefix(data_filenames, prefix=data_bucket.path) + self._data_filenames = filter_image_files(data_filenames) + + self._input_gt_data = gt_storage_client.download_file(gt_bucket.path) + + self._input_boxes_data = boxes_storage_client.download_file(boxes_bucket.path) + + def _parse_dataset(self, annotation_file_data: bytes, dataset_format: str) -> dm.Dataset: + temp_dir = self.exit_stack.enter_context(TemporaryDirectory()) + + annotation_filename = os.path.join(temp_dir, "annotations.json") + with open(annotation_filename, "wb") as f: + f.write(annotation_file_data) + + return dm.Dataset.import_from(annotation_filename, format=dataset_format) + + def _parse_gt(self): + assert self._input_gt_data is not _unset + + self._input_gt_dataset = self._parse_dataset( + self._input_gt_data, + dataset_format=DM_GT_DATASET_FORMAT_MAPPING[self.manifest.annotation.type], + ) + + def _parse_boxes(self): + assert self._input_boxes_data is not _unset + + self._boxes_dataset = self._parse_dataset( + self._input_boxes_data, dataset_format=self.boxes_format + ) + + def _validate_gt_labels(self): + gt_labels = set( + (label.name, label.parent) + for label in self._input_gt_dataset.categories()[dm.AnnotationType.label] + ) + + manifest_labels = set() + for skeleton_label in self.manifest.annotation.labels: + manifest_labels.add((skeleton_label.name, "")) + for node_label in skeleton_label.nodes: + manifest_labels.add((node_label, skeleton_label.name)) + + if manifest_labels - gt_labels: + raise DatasetValidationError( + "Could not find GT for labels {}".format( + format_sequence( + [ + label_name if not parent_name else f"{parent_name}.{label_name}" + for label_name, parent_name in manifest_labels - gt_labels + ] + ), + ) + ) + + # It should not be an issue that there are some extra GT labels - they should + # just be skipped. + if gt_labels - manifest_labels: + self.logger.info( + "Skipping unknown GT labels: {}".format( + format_sequence( + [ + label_name if not parent_name else f"{parent_name}.{label_name}" + for label_name, parent_name in gt_labels - manifest_labels + ] + ) + ) + ) + + # Reorder and filter labels to match the manifest + self._input_gt_dataset.transform( + ProjectLabels, dst_labels=[label.name for label in self.manifest.annotation.labels] + ) + self._input_gt_dataset.init_cache() + + def _validate_gt_filenames(self): + gt_filenames = set(s.id + s.media.ext for s in self._input_gt_dataset) + + known_data_filenames = set(self._data_filenames) + matched_gt_filenames = gt_filenames.intersection(known_data_filenames) + + if len(gt_filenames) != len(matched_gt_filenames): + extra_gt = list(map(os.path.basename, gt_filenames - matched_gt_filenames)) + + raise MismatchingAnnotations( + "Failed to find several validation samples in the dataset files: {}".format( + format_sequence(extra_gt) + ) + ) + + if len(gt_filenames) < self._job_val_frames_count: + raise TooFewSamples( + f"Too few validation samples provided ({len(gt_filenames)}), " + f"at least {self._job_val_frames_count} required." + ) + + def _validate_gt_annotations(self): + def _validate_skeleton(skeleton: dm.Skeleton, *, sample_bbox: dm.Bbox): + if skeleton.id in visited_ids: + raise DatasetValidationError(f"repeated annotation id {skeleton.id}") + + for element in skeleton.elements: + # This is what Datumaro is expected to parse + assert len(element.points) == 2 + assert len(element.visibility) == 1 + + if element.visibility[0] == dm.Points.Visibility.absent: + continue + + px, py = element.points[:2] + if not is_point_in_bbox(int(px), int(py), sample_bbox): + raise InvalidCoordinates("skeleton point is outside the image") + + label_cat: dm.LabelCategories = self._input_gt_dataset.categories()[dm.AnnotationType.label] + + excluded_gt_info = _ExcludedAnnotationsInfo() + excluded_samples = set() + visited_ids = set() + for gt_sample in self._input_gt_dataset: + # Could fail on this as well + img_h, img_w = gt_sample.media_as(dm.Image).size + sample_bbox = dm.Bbox(0, 0, w=img_w, h=img_h) + + sample_skeletons = [a for a in gt_sample.annotations if isinstance(a, dm.Skeleton)] + valid_skeletons = [] + for skeleton in sample_skeletons: + try: + _validate_skeleton(skeleton, sample_bbox=sample_bbox) + except DatasetValidationError as error: + excluded_gt_info.add_message( + "Sample '{}': GT skeleton #{} ({}) skipped - {}".format( + gt_sample.id, skeleton.id, label_cat[skeleton.label].name, error + ), + sample_id=gt_sample.id, + sample_subset=gt_sample.subset, + ) + continue + + valid_skeletons.append(skeleton) + visited_ids.add(skeleton.id) + + excluded_gt_info.excluded_count += len(sample_skeletons) - len(valid_skeletons) + excluded_gt_info.total_count += len(sample_skeletons) + + if len(valid_skeletons) != len(sample_skeletons): + if not valid_skeletons: + excluded_samples.add((gt_sample.id, gt_sample.subset)) + else: + # Skeleton boxes can be in the list as well with the same ids / groups + skeleton_ids = set(a.id for a in valid_skeletons) - {0} + self._input_gt_dataset.put( + gt_sample.wrap( + annotations=[a for a in gt_sample.annotations if a.id in skeleton_ids] + ) + ) + + for excluded_sample in excluded_samples: + self._input_gt_dataset.remove(*excluded_sample) + + if excluded_gt_info.excluded_count: + self.logger.warning( + "Some GT skeletons were excluded due to the errors found: {}".format( + format_sequence([e.message for e in excluded_gt_info.messages], separator="\n") + ) + ) + + if excluded_gt_info.excluded_count > ceil( + excluded_gt_info.total_count * self.max_discarded_threshold + ): + raise TooFewSamples( + "Too many GT skeletons discarded, canceling job creation. Errors: {}".format( + format_sequence( + [error_info.message for error_info in excluded_gt_info.messages] + ) + ) + ) + + self._excluded_gt_info = excluded_gt_info + + def _validate_gt(self): + assert self._data_filenames is not _unset + assert self._input_gt_dataset is not _unset + + self._validate_gt_filenames() + self._validate_gt_labels() + self._validate_gt_annotations() + + def _validate_boxes_categories(self): + boxes_dataset_categories = self._boxes_dataset.categories() + boxes_dataset_label_cat: dm.LabelCategories = boxes_dataset_categories[ + dm.AnnotationType.label + ] + + boxes_labels = set(label.name for label in boxes_dataset_label_cat if not label.parent) + manifest_labels = set(label.name for label in self.manifest.annotation.labels) + if manifest_labels != boxes_labels: + raise DatasetValidationError("Bbox labels do not match job labels") + + # Reorder labels to match the manifest + self._boxes_dataset.transform( + ProjectLabels, dst_labels=[label.name for label in self.manifest.annotation.labels] + ) + self._boxes_dataset.init_cache() + + def _validate_boxes_filenames(self): + boxes_filenames = set(sample.id + sample.media.ext for sample in self._boxes_dataset) + + known_data_filenames = set(self._data_filenames) + matched_boxes_filenames = boxes_filenames.intersection(known_data_filenames) + + if len(matched_boxes_filenames) != len(boxes_filenames): + extra_bbox_samples = list( + map(os.path.basename, boxes_filenames - matched_boxes_filenames) + ) + + raise MismatchingAnnotations( + "Failed to find several samples in the dataset files: {}".format( + format_sequence(extra_bbox_samples), + ) + ) + + def _validate_boxes_annotations(self): # noqa: PLR0912 + # Convert possible polygons and masks into boxes + self._boxes_dataset.transform(InstanceSegmentsToBbox) + self._boxes_dataset.init_cache() + + excluded_boxes_info = _ExcludedAnnotationsInfo() + + label_cat: dm.LabelCategories = self._boxes_dataset.categories()[dm.AnnotationType.label] + + visited_ids = set() + for sample in self._boxes_dataset: + # Could fail on this as well + image_h, image_w = sample.media_as(dm.Image).size + + valid_instances: list[tuple[dm.Bbox, dm.Points]] = [] + instances = find_instances( + [a for a in sample.annotations if isinstance(a, dm.Bbox | dm.Skeleton)] + ) + for instance_anns in instances: + if len(instance_anns) != 2: + excluded_boxes_info.add_message( + "Sample '{}': object #{} ({}) skipped - unexpected group size ({})".format( + sample.id, + instance_anns[0].id, + label_cat[instance_anns[0].label].name, + len(instance_anns), + ), + sample_id=sample.id, + sample_subset=sample.subset, + ) + continue + + bbox = next((a for a in instance_anns if isinstance(a, dm.Bbox)), None) + if not bbox: + excluded_boxes_info.add_message( + "Sample '{}': object #{} ({}) skipped - no matching bbox".format( + sample.id, instance_anns[0].id, label_cat[instance_anns[0].label].name + ), + sample_id=sample.id, + sample_subset=sample.subset, + ) + continue + + skeleton = next((a for a in instance_anns if isinstance(a, dm.Skeleton)), None) + if not skeleton: + excluded_boxes_info.add_message( + "Sample '{}': object #{} ({}) skipped - no matching skeleton".format( + sample.id, instance_anns[0].id, label_cat[instance_anns[0].label].name + ), + sample_id=sample.id, + sample_subset=sample.subset, + ) + continue + + if len(skeleton.elements) != 1 or len(skeleton.elements[0].points) != 2: + excluded_boxes_info.add_message( + "Sample '{}': object #{} ({}) skipped - invalid skeleton points".format( + sample.id, skeleton.id, label_cat[skeleton.label].name + ), + sample_id=sample.id, + sample_subset=sample.subset, + ) + continue + + point = skeleton.elements[0] + if not is_point_in_bbox(point.points[0], point.points[1], (0, 0, image_w, image_h)): + excluded_boxes_info.add_message( + "Sample '{}': object #{} ({}) skipped - invalid point coordinates".format( + sample.id, skeleton.id, label_cat[skeleton.label].name + ), + sample_id=sample.id, + sample_subset=sample.subset, + ) + continue + + if not is_point_in_bbox(int(bbox.x), int(bbox.y), (0, 0, image_w, image_h)): + excluded_boxes_info.add_message( + "Sample '{}': object #{} ({}) skipped - invalid bbox coordinates".format( + sample.id, bbox.id, label_cat[bbox.label].name + ), + sample_id=sample.id, + sample_subset=sample.subset, + ) + continue + + if not is_point_in_bbox(point.points[0], point.points[1], bbox): + excluded_boxes_info.add_message( + "Sample '{}': object #{} ({}) skipped - point is outside the bbox".format( + sample.id, skeleton.id, label_cat[skeleton.label].name + ), + sample_id=sample.id, + sample_subset=sample.subset, + ) + continue + + if bbox.id in visited_ids: + excluded_boxes_info.add_message( + "Sample '{}': bbox #{} ({}) skipped - repeated annotation id {}".format( + sample.id, bbox.id, label_cat[bbox.label].name, bbox.id + ), + sample_id=sample.id, + sample_subset=sample.subset, + ) + continue + + valid_instances.append( + (bbox, point.wrap(group=bbox.group, id=bbox.id, attributes=bbox.attributes)) + ) + visited_ids.add(bbox.id) + + excluded_boxes_info.excluded_count += len(instances) - len(valid_instances) + excluded_boxes_info.total_count += len(instances) + + if len(valid_instances) != len(sample.annotations): + self._boxes_dataset.put( + sample.wrap(annotations=list(chain.from_iterable(valid_instances))) + ) + + if excluded_boxes_info.excluded_count > ceil( + excluded_boxes_info.total_count * self.max_discarded_threshold + ): + raise TooFewSamples( + "Too many boxes discarded, canceling job creation. Errors: {}".format( + format_sequence( + [error_info.message for error_info in excluded_boxes_info.messages] + ) + ) + ) + + excluded_samples = set((e.sample_id, e.sample_subset) for e in excluded_boxes_info.messages) + for excluded_sample in excluded_samples: + self._boxes_dataset.remove(*excluded_sample) + + if excluded_samples: + self.logger.warning( + "Some boxes were excluded due to the errors found: {}".format( + format_sequence( + [e.message for e in excluded_boxes_info.messages], separator="\n" + ) + ) + ) + + self._excluded_boxes_info = excluded_boxes_info + + def _validate_boxes(self): + assert self._data_filenames is not _unset + assert self._boxes_dataset is not _unset + + self._validate_boxes_categories() + self._validate_boxes_filenames() + self._validate_boxes_annotations() + + def _match_boxes(self, a: BboxCoords, b: BboxCoords) -> bool: + return bbox_iou(a, b) > 0 + + def _get_skeleton_bbox( + self, skeleton: dm.Skeleton, annotations: Sequence[dm.Annotation] + ) -> BboxCoords: + matching_bbox = None + if skeleton.group: + matching_bbox = next( + ( + bbox + for bbox in annotations + if isinstance(bbox, dm.Bbox) and bbox.group == skeleton.group + ), + None, + ) + + if matching_bbox: + bbox = matching_bbox.get_bbox() + else: + bbox = skeleton.get_bbox() + + if any( + v != dm.Points.Visibility.absent for e in skeleton.elements for v in e.visibility + ): + # If there's only 1 visible point, the bbox will have 0 w and h + bbox = [bbox[0], bbox[1], max(1, bbox[2]), max(1, bbox[3])] + + return bbox + + def _prepare_gt(self): + def _find_unambiguous_matches( + input_boxes: list[dm.Bbox], + gt_skeletons: list[dm.Skeleton], + *, + input_points: list[dm.Points], + gt_annotations: list[dm.Annotation], + ) -> list[tuple[dm.Bbox, dm.Skeleton]]: + bbox_point_mapping: dict[int, dm.Points] = { + bbox.id: next(p for p in input_points if p.group == bbox.group) + for bbox in input_boxes + } + + matches = [ + [ + (input_bbox.label == gt_skeleton.label) + and ( + self._match_boxes( + input_bbox.get_bbox(), + self._get_skeleton_bbox(gt_skeleton, gt_annotations), + ) + ) + and (input_point := bbox_point_mapping[input_bbox.id]) + and is_point_in_bbox( + input_point.points[0], + input_point.points[1], + self._get_skeleton_bbox(gt_skeleton, gt_annotations), + ) + and ( + # a way to customize matching if the default method is too rough + not (bbox_id := input_bbox.attributes.get(self.gt_id_attribute)) + or not (skeleton_id := gt_skeleton.attributes.get(self.gt_id_attribute)) + or bbox_id == skeleton_id + ) + for gt_skeleton in gt_skeletons + ] + for input_bbox in input_boxes + ] + + ambiguous_boxes: list[int] = set() + ambiguous_skeletons: list[int] = set() + for bbox_idx, input_bbox in enumerate(input_boxes): + matched_skeletons: list[dm.Skeleton] = [ + gt_skeletons[j] for j in range(len(gt_skeletons)) if matches[bbox_idx][j] + ] + + if len(matched_skeletons) > 1: + # Handle ambiguous matches + excluded_boxes_info.add_message( + "Sample '{}': bbox #{} ({}) and overlapping skeletons skipped - " + "too many matching skeletons ({}) found".format( + boxes_sample.id, + input_bbox.id, + boxes_label_cat[input_bbox.label].name, + format_sequence([f"#{a.id}" for a in matched_skeletons]), + ), + sample_id=boxes_sample.id, + sample_subset=boxes_sample.subset, + ) + # not an error, should not be counted as excluded for an error + ambiguous_boxes.add(input_bbox.id) + ambiguous_skeletons.update(s.id for s in matched_skeletons) + continue + + for skeleton_idx, gt_skeleton in enumerate(gt_skeletons): + matched_boxes: list[dm.Bbox] = [ + input_boxes[i] for i in range(len(input_boxes)) if matches[i][skeleton_idx] + ] + + if len(matched_boxes) > 1: + # Handle ambiguous matches + excluded_gt_info.add_message( + "Sample '{}': GT skeleton #{} ({}) and overlapping boxes skipped - " + "too many matching boxes ({}) found".format( + gt_sample.id, + gt_skeleton.id, + gt_label_cat[gt_skeleton.label].name, + format_sequence([f"#{a.id}" for a in matched_boxes]), + ), + sample_id=gt_sample.id, + sample_subset=gt_sample.subset, + ) + # not an error, should not be counted as excluded for an error + ambiguous_skeletons.add(gt_skeleton.id) + ambiguous_boxes.update(b.id for b in matched_boxes) + continue + if not matched_boxes: + # Handle unmatched skeletons + excluded_gt_info.add_message( + "Sample '{}': GT skeleton #{} ({}) skipped - " + "no matching boxes found".format( + gt_sample.id, + gt_skeleton.id, + gt_label_cat[gt_skeleton.label].name, + ), + sample_id=gt_sample.id, + sample_subset=gt_sample.subset, + ) + excluded_gt_info.excluded_count += 1 # an error + continue + + unambiguous_matches: list[tuple[dm.Bbox, dm.Skeleton]] = [] + for bbox_idx, input_bbox in enumerate(input_boxes): + if input_bbox.id in ambiguous_boxes: + continue + + matched_skeleton = None + for gt_idx, gt_skeleton in enumerate(gt_skeletons): + if gt_skeleton.id in ambiguous_skeletons: + continue + + if matches[bbox_idx][gt_idx]: + matched_skeleton = gt_skeleton + break + + if matched_skeleton: + unambiguous_matches.append((input_bbox, matched_skeleton)) + + return unambiguous_matches + + def _find_good_gt_skeletons( + input_boxes: list[dm.Bbox], + gt_skeletons: list[dm.Skeleton], + *, + input_points: list[dm.Points], + gt_annotations: list[dm.Annotation], + ) -> list[dm.Skeleton]: + matches = _find_unambiguous_matches( + input_boxes, gt_skeletons, input_points=input_points, gt_annotations=gt_annotations + ) + + matched_skeletons = [] + for input_bbox, gt_skeleton in matches: + gt_count_per_class[gt_skeleton.label] = ( + gt_count_per_class.get(gt_skeleton.label, 0) + 1 + ) + + matched_skeletons.append(gt_skeleton) + skeleton_bbox_mapping[gt_skeleton.id] = input_bbox.id + + return matched_skeletons + + assert self._data_filenames is not _unset + assert self._boxes_dataset is not _unset + assert self._input_gt_dataset is not _unset + assert [ + label.name + for label in self._input_gt_dataset.categories()[dm.AnnotationType.label] + if not label.parent + ] == [label.name for label in self.manifest.annotation.labels] + assert [ + label.name + for label in self._boxes_dataset.categories()[dm.AnnotationType.label] + if not label.parent + ] == [label.name for label in self.manifest.annotation.labels] + + boxes_label_cat: dm.LabelCategories = self._boxes_dataset.categories()[ + dm.AnnotationType.label + ] + gt_label_cat: dm.LabelCategories = self._input_gt_dataset.categories()[ + dm.AnnotationType.label + ] + + updated_gt_dataset = dm.Dataset( + categories=self._input_gt_dataset.categories(), media_type=dm.Image + ) + + excluded_boxes_info = _ExcludedAnnotationsInfo() # local for the function + excluded_gt_info = self._excluded_gt_info + gt_count_per_class = {} + skeleton_bbox_mapping = {} # skeleton id -> bbox id + for gt_sample in self._input_gt_dataset: + boxes_sample = self._boxes_dataset.get(gt_sample.id, gt_sample.subset) + # Samples could be discarded, so we just skip them without an error + if not boxes_sample: + continue + + gt_skeletons = [a for a in gt_sample.annotations if isinstance(a, dm.Skeleton)] + input_boxes = [a for a in boxes_sample.annotations if isinstance(a, dm.Bbox)] + input_points = [a for a in boxes_sample.annotations if isinstance(a, dm.Points)] + assert len(input_boxes) == len(input_points) + + # Samples without boxes are allowed, so we just skip them without an error + if not gt_skeletons: + continue + + matched_skeletons = _find_good_gt_skeletons( + input_boxes, + gt_skeletons, + input_points=input_points, + gt_annotations=gt_sample.annotations, + ) + if not matched_skeletons: + continue + + updated_gt_dataset.put(gt_sample.wrap(annotations=matched_skeletons)) + + if excluded_boxes_info.messages: + self.logger.warning( + "Some boxes were excluded from GT due to the problems found: {}".format( + format_sequence( + [e.message for e in excluded_boxes_info.messages], separator="\n" + ) + ) + ) + + if excluded_gt_info.messages: + self.logger.warning( + "Some GT annotations were excluded due to the errors found: {}".format( + format_sequence([e.message for e in excluded_gt_info.messages], separator="\n") + ) + ) + + if excluded_gt_info.excluded_count > ceil( + self.max_discarded_threshold * excluded_gt_info.total_count + ): + raise DatasetValidationError( + "Too many GT skeletons discarded ({} out of {}). " + "Please make sure each GT skeleton matches exactly 1 bbox " + "and has at least 1 visible point".format( + excluded_gt_info.total_count - len(skeleton_bbox_mapping), + excluded_gt_info.total_count, + ) + ) + + self.logger.info( + "GT counts per class to be used for validation: {}".format( + format_sequence( + [ + f"{gt_label_cat[label_id].name}: {count}" + for label_id, count in gt_count_per_class.items() + ] + ) + ) + ) + + labels_with_few_gt = [ + gt_label_cat[label_id] + for label_id, label_count in gt_count_per_class.items() + if label_count < self.min_label_gt_samples + ] + if labels_with_few_gt: + raise DatasetValidationError( + "Too few matching GT boxes/points annotations found for some classes: {}".format( + format_sequence(labels_with_few_gt) + ) + ) + + self._gt_dataset = updated_gt_dataset + self._skeleton_bbox_mapping = skeleton_bbox_mapping + + def _prepare_roi_infos(self): + assert self._gt_dataset is not _unset + assert self._boxes_dataset is not _unset + + rois: list[skeletons_from_boxes_task.RoiInfo] = [] + for sample in self._boxes_dataset: + instances = find_instances(sample.annotations) + for instance_anns in instances: + bbox = next(a for a in instance_anns if isinstance(a, dm.Bbox)) + point = next(a for a in instance_anns if isinstance(a, dm.Points)) + + # RoI is centered on bbox center + original_bbox_cx = int(bbox.x + bbox.w / 2) + original_bbox_cy = int(bbox.y + bbox.h / 2) + + roi_w = ceil(bbox.w * self.roi_size_mult) + roi_h = ceil(bbox.h * self.roi_size_mult) + roi_w = max(roi_w, self.min_roi_size[0]) + roi_h = max(roi_h, self.min_roi_size[1]) + + roi_x = original_bbox_cx - int(roi_w / 2) + roi_y = original_bbox_cy - int(roi_h / 2) + + new_bbox_x = bbox.x - roi_x + new_bbox_y = bbox.y - roi_y + + rois.append( + skeletons_from_boxes_task.RoiInfo( + original_image_key=sample.attributes["id"], + bbox_id=bbox.id, + bbox_label=bbox.label, + bbox_x=new_bbox_x, + bbox_y=new_bbox_y, + point_x=point.points[0] - roi_x, + point_y=point.points[1] - roi_y, + roi_x=roi_x, + roi_y=roi_y, + roi_w=roi_w, + roi_h=roi_h, + ) + ) + + self._roi_infos = rois + self._roi_info_by_id = {roi_info.bbox_id: roi_info for roi_info in self._roi_infos} + + def _mangle_filenames(self): + """ + Mangle filenames in the dataset to make them less recognizable by annotators + and hide private dataset info + """ + assert self._roi_infos is not _unset + + # TODO: maybe add different names for the same GT images in + # different jobs to make them even less recognizable + self._roi_filenames = { + roi_info.bbox_id: str(uuid.uuid4()) + self.roi_file_ext for roi_info in self._roi_infos + } + + @property + def _task_segment_size(self) -> int: + # Here we use a job size multiplier, because each image + # is supposed to be simple and the assignment is expected + # to take little time with the default job size. + # Then, we add a percent of job tiles for validation, keeping the requested ratio. + return super()._task_segment_size * self.job_size_mult + + @property + def _job_val_frames_count(self) -> int: + return super()._job_val_frames_count * self.job_size_mult + + def _prepare_task_params(self): + assert self._roi_infos is not _unset + assert self._skeleton_bbox_mapping is not _unset + assert self._input_gt_dataset is not _unset + + # This list can be different from what is selected for validation + input_gt_filenames = set(sample.media.path for sample in self._input_gt_dataset) + image_id_to_filename = { + sample.attributes["id"]: sample.media.path for sample in self._boxes_dataset + } + + task_params: list[self._TaskParams] = [] + segment_size = self._task_segment_size + for label_id, _ in enumerate(self.manifest.annotation.labels): + label_gt_roi_ids = set( + roi_id + for roi_id in self._skeleton_bbox_mapping.values() + if self._roi_info_by_id[roi_id].bbox_label == label_id + ) + + label_data_roi_ids = [ + roi_info.bbox_id + for roi_info in self._roi_infos + if roi_info.bbox_label == label_id + if roi_info.bbox_id not in label_gt_roi_ids + if image_id_to_filename[roi_info.original_image_key] not in input_gt_filenames + ] + random.shuffle(label_data_roi_ids) + + task_params.extend( + [ + self._TaskParams( + label_id=label_id, roi_ids=task_data_roi_ids, roi_gt_ids=label_gt_roi_ids + ) + for task_data_roi_ids in take_by( + label_data_roi_ids, Config.cvat_config.max_jobs_per_task * segment_size + ) + ] + ) + + self._task_params = task_params + + def _prepare_job_labels(self): + self._point_labels = {} + + for skeleton_label in self.manifest.annotation.labels: + for point_name in skeleton_label.nodes: + self._point_labels[(skeleton_label.name, point_name)] = point_name + + def _prepare_gt_points_mapping(self): + assert self._gt_dataset is not _unset + + self._gt_points_per_label = {} + + # GT should contain all GT images with only one point per skeleton node + for gt_sample in self._gt_dataset: + for gt_skeleton in gt_sample.annotations: + if not isinstance(gt_skeleton, dm.Skeleton): + continue + + for point in gt_skeleton.elements: + if point.visibility[0] in [ + dm.Points.Visibility.absent, + dm.Points.Visibility.hidden, + ]: + continue + + point_label_name = ( + self._gt_dataset.categories()[dm.AnnotationType.label] + .items[point.label] + .name + ) + + self._gt_points_per_label.setdefault( + (gt_skeleton.label, point_label_name), [] + ).append((gt_skeleton.id, point)) + + def _upload_task_meta(self): + layout = skeletons_from_boxes_task.TaskMetaLayout() + serializer = skeletons_from_boxes_task.TaskMetaSerializer() + + file_list = [] + file_list.append( + (serializer.serialize_bbox_annotations(self._boxes_dataset), layout.BOXES_FILENAME) + ) + file_list.append( + ( + serializer.serialize_gt_annotations(self._gt_dataset), + layout.GT_FILENAME, + ) + ) + file_list.append( + ( + serializer.serialize_skeleton_bbox_mapping(self._skeleton_bbox_mapping), + layout.SKELETON_BBOX_MAPPING_FILENAME, + ) + ) + file_list.append((serializer.serialize_roi_info(self._roi_infos), layout.ROI_INFO_FILENAME)) + file_list.append( + (serializer.serialize_roi_filenames(self._roi_filenames), layout.ROI_FILENAMES_FILENAME) + ) + file_list.append( + (serializer.serialize_point_labels(self._point_labels), layout.POINT_LABELS_FILENAME) + ) + + storage_client = self._make_cloud_storage_client(self.oracle_data_bucket) + for file_data, filename in file_list: + storage_client.create_file( + compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), + file_data, + ) + + def _extract_roi( + self, source_pixels: np.ndarray, roi_info: skeletons_from_boxes_task.RoiInfo + ) -> np.ndarray: + img_h, img_w, *_ = source_pixels.shape + + roi_pixels = source_pixels[ + max(0, roi_info.roi_y) : min(img_h, roi_info.roi_y + roi_info.roi_h), + max(0, roi_info.roi_x) : min(img_w, roi_info.roi_x + roi_info.roi_w), + ] + + if not ( + (0 <= roi_info.roi_x < roi_info.roi_x + roi_info.roi_w < img_w) + and (0 <= roi_info.roi_y < roi_info.roi_y + roi_info.roi_h < img_h) + ): + # Coords can be outside the original image + # In this case a border should be added to RoI, so that the image was centered on bbox + wrapped_roi_pixels = np.zeros((roi_info.roi_h, roi_info.roi_w, 3), dtype=np.float32) + wrapped_roi_pixels[:, :] = self.roi_background_color + + dst_y = max(-roi_info.roi_y, 0) + dst_x = max(-roi_info.roi_x, 0) + wrapped_roi_pixels[ + dst_y : dst_y + roi_pixels.shape[0], + dst_x : dst_x + roi_pixels.shape[1], + ] = roi_pixels + + roi_pixels = wrapped_roi_pixels + else: + roi_pixels = roi_pixels.copy() + + return roi_pixels + + def _draw_roi_bbox(self, roi_image: np.ndarray, bbox: dm.Bbox) -> np.ndarray: + roi_cy = roi_image.shape[0] // 2 + roi_cx = roi_image.shape[1] // 2 + return cv2.rectangle( + roi_image, + tuple(map(int, (roi_cx - bbox.w / 2, roi_cy - bbox.h / 2))), + tuple(map(int, (roi_cx + bbox.w / 2, roi_cy + bbox.h / 2))), + self.roi_embedded_bbox_color, + 1, + cv2.LINE_4, + ) + + def _draw_roi_point(self, roi_image: np.ndarray, point: tuple[float, float]) -> np.ndarray: + roi_r = (roi_image.shape[0] ** 2 + roi_image.shape[1] ** 2) ** 0.5 / 2 + radius = int( + min( + self.max_embedded_point_radius_percent * roi_r, + max(self.embedded_point_radius, self.min_embedded_point_radius_percent * roi_r), + ) + ) + + roi_image = cv2.circle( + roi_image, + tuple(map(int, (point[0], point[1]))), + radius + 1, + (255, 255, 255), + -1, + cv2.LINE_4, + ) + return cv2.circle( + roi_image, + tuple(map(int, (point[0], point[1]))), + radius, + self.embedded_point_color, + -1, + cv2.LINE_4, + ) + + def _extract_and_upload_rois(self): + assert self._roi_filenames is not _unset + assert self._roi_infos is not _unset + + src_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) + src_prefix = src_bucket.path + dst_bucket = self.oracle_data_bucket + + src_client = self._make_cloud_storage_client(src_bucket) + dst_client = self._make_cloud_storage_client(dst_bucket) + + image_id_to_filename = { + sample.attributes["id"]: sample.image.path for sample in self._boxes_dataset + } + + filename_to_sample = {sample.image.path: sample for sample in self._boxes_dataset} + + def _roi_info_key(e): + return e.original_image_key + + roi_info_by_image: dict[str, Sequence[skeletons_from_boxes_task.RoiInfo]] = { + image_id_to_filename[image_id]: list(g) + for image_id, g in groupby( + sorted(self._roi_infos, key=_roi_info_key), key=_roi_info_key + ) + } + + bbox_by_id = { + bbox.id: bbox + for sample in self._boxes_dataset + for bbox in sample.annotations + if isinstance(bbox, dm.Bbox) + } + + def process_file(filename: str, image_pixels: np.ndarray): + image_roi_infos = roi_info_by_image.get(filename, []) + if not image_roi_infos: + return + + sample = filename_to_sample[filename] + if tuple(sample.image.size) != tuple(image_pixels.shape[:2]): + # TODO: maybe rois should be regenerated instead + # Option 2: accumulate errors, fail when some threshold is reached + # Option 3: add special handling for cases when image is only rotated (exif etc.) + raise InvalidImageInfo( + f"Sample '{filename}': invalid size provided in the point annotations" + ) + + for roi_info in image_roi_infos: + roi_pixels = self._extract_roi(image_pixels, roi_info) + + if self.embed_bbox_in_roi_image: + roi_pixels = self._draw_roi_bbox(roi_pixels, bbox_by_id[roi_info.bbox_id]) + roi_pixels = self._draw_roi_point( + roi_pixels, (roi_info.point_x, roi_info.point_y) + ) + + filename = self._roi_filenames[roi_info.bbox_id] + roi_bytes = encode_image(roi_pixels, os.path.splitext(filename)[-1]) + + dst_client.create_file( + compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), + data=roi_bytes, + ) + + def download_and_decode(key: str): + image_bytes = src_client.download_file(key) + return decode_image(image_bytes) + + pool_size = Config.features.max_data_storage_connections + download_queue_size = 4 * pool_size + download_queue = Queue[tuple[str, Future[np.ndarray]]](download_queue_size) + roi_uploader = BufferedRoiImageUploader(queue=download_queue) + with ThreadPoolExecutor(pool_size) as pool: + + def put_callback(filename: str): + image_roi_infos = roi_info_by_image.get(filename, []) + if not image_roi_infos: + return None + + return ( + filename, + pool.submit(download_and_decode, os.path.join(src_prefix, filename)), + ) + + def process_callback(result: tuple[str, Future]): + filename, task = result + process_file(filename, task.result()) + + roi_uploader.process_all( + self._data_filenames, put_callback=put_callback, process_callback=process_callback + ) + + def _prepare_gt_dataset_for_skeleton_point( + self, + *, + point_label_name: str, + skeleton_label_id: int, + ) -> dm.Dataset: + assert self._gt_points_per_label is not _unset + + # Change annotations to Points for validation in CVAT, + # as annotators will use this annotation type + point_dataset = dm.Dataset( + categories={ + dm.AnnotationType.label: dm.LabelCategories.from_iterable([point_label_name]), + }, + media_type=dm.Image, + ) + + for gt_skeleton_id, gt_point in self._gt_points_per_label[ + (skeleton_label_id, point_label_name) + ]: + roi_key = self._skeleton_bbox_mapping[gt_skeleton_id] + roi_info = self._roi_info_by_id[roi_key] + + mangled_cvat_sample_id = compose_data_bucket_filename( + self.escrow_address, + self.chain_id, + os.path.splitext(self._roi_filenames[roi_key])[0], + ) + + # update points coordinates in accordance with roi coordinates + updated_points = [ + gt_point.points[0] - roi_info.roi_x, + gt_point.points[1] - roi_info.roi_y, + ] + + point_dataset.put( + dm.DatasetItem( + id=mangled_cvat_sample_id, + annotations=[dm.Points(id=gt_skeleton_id, points=updated_points, label=0)], + ) + ) + + return point_dataset + + def _save_cvat_gt_dataset_to_oracle_bucket( + self, + gt_dataset_path: Path, + *, + file_suffix: str = "", + ) -> None: + layout = skeletons_from_boxes_task.TaskMetaLayout() + + base_gt_filename = layout.GT_FILENAME.split(".", maxsplit=1)[0] + final_gt_filename = f"{base_gt_filename}_{file_suffix}" + ".zip" + gt_dataset_key = compose_data_bucket_filename( + self.escrow_address, self.chain_id, final_gt_filename + ) + + storage_client = self._make_cloud_storage_client(self._oracle_data_bucket) + storage_client.create_file(gt_dataset_key, gt_dataset_path.read_bytes()) + + def _setup_quality_settings(self, task_id: int, **overrides) -> None: + values = { + "oks_sigma": Config.cvat_config.oks_sigma, + "point_size_base": "image_size", # we don't expect any boxes or groups, so ignore them + } + values.update(overrides) + super()._setup_quality_settings(task_id, **values) + + def _create_on_cvat(self): + assert self._task_params is not _unset + assert self._point_labels is not _unset + assert self._gt_points_per_label is not _unset + + def _task_params_label_key(ts): + return ts.label_id + + tasks_by_skeleton_label = { + skeleton_label_id: list(g) + for skeleton_label_id, g in groupby( + sorted(self._task_params, key=_task_params_label_key), key=_task_params_label_key + ) + } + + label_specs_by_skeleton = { + skeleton_label_id: [ + { + "name": self._point_labels[(skeleton_label.name, skeleton_point)], + "type": "points", + } + for skeleton_point in skeleton_label.nodes + ] + for skeleton_label_id, skeleton_label in enumerate(self.manifest.annotation.labels) + } + + oracle_bucket = self.oracle_data_bucket + + # Register cloud storage on CVAT to pass user dataset + cvat_cloud_storage = cvat_api.create_cloudstorage( + **_make_cvat_cloud_storage_params(oracle_bucket) + ) + + segment_size = self._task_segment_size + + total_jobs = sum( + len(self.manifest.annotation.labels[tp.label_id].nodes) + * (math.ceil(len(tp.roi_ids) / segment_size)) + for tp in self._task_params + ) + self.logger.info( + "Task creation for escrow '%s': will create %s assignments", + self.escrow_address, + total_jobs, + ) + + with SessionLocal.begin() as session: + db_service.create_escrow_creation( + session, + escrow_address=self.escrow_address, + chain_id=self.chain_id, + total_jobs=total_jobs, + ) + created_projects = [] + + for skeleton_label_id, skeleton_label_tasks in tasks_by_skeleton_label.items(): + skeleton_label_filenames: list[list[str]] = [] + gt_skeleton_label_filenames: list[list[str]] = [] + + for skeleton_label_task in skeleton_label_tasks: + skeleton_label_filenames.append( + [ + compose_data_bucket_filename( + self.escrow_address, self.chain_id, self._roi_filenames[roi_id] + ) + for roi_id in skeleton_label_task.roi_ids + ], + ) + + gt_skeleton_label_filenames.append( + [ + compose_data_bucket_filename( + self.escrow_address, self.chain_id, self._roi_filenames[roi_id] + ) + for roi_id in skeleton_label_task.roi_gt_ids + ], + ) + + for point_label_spec in label_specs_by_skeleton[skeleton_label_id]: + point_label_name = point_label_spec["name"] + + # Create a project for each point label. + # CVAT doesn't support tasks with different labels in a project. + cvat_project = cvat_api.create_project( + name="{} ({} {})".format( + self.escrow_address, + self.manifest.annotation.labels[skeleton_label_id].name, + point_label_name, + ), + user_guide=self.manifest.annotation.user_guide, + labels=[point_label_spec], + # TODO: improve guide handling - split for different points + ) + + # Setup webhooks for the project + cvat_webhook = cvat_api.create_cvat_webhook(cvat_project.id) + + project_id = db_service.create_project( + session, + cvat_project.id, + cvat_cloud_storage.id, + self.manifest.annotation.type, + self.escrow_address, + self.chain_id, + oracle_bucket.to_url().rstrip("/") + + "/" + + compose_data_bucket_prefix(self.escrow_address, self.chain_id), + cvat_webhook_id=cvat_webhook.id, + ) + created_projects.append(project_id) + + db_service.get_project_by_id( + session, project_id, for_update=True + ) # lock the row + db_service.add_project_images( + session, + cvat_project.id, + list(set(chain.from_iterable(skeleton_label_filenames))), + ) + + for point_label_filenames, gt_point_label_filenames in zip( + skeleton_label_filenames, gt_skeleton_label_filenames, strict=False + ): + cvat_task = cvat_api.create_task( + cvat_project.id, + name=cvat_project.name, + segment_size=segment_size, + ) + + task_id = db_service.create_task( + session, cvat_task.id, cvat_project.id, TaskStatuses[cvat_task.status] + ) + db_service.get_task_by_id(session, task_id, for_update=True) # lock the row + + # The task is fully created once 'update:task' webhook is received. + cvat_api.put_task_data( + cvat_task.id, + cvat_cloud_storage.id, + filenames=point_label_filenames + gt_point_label_filenames, + validation_params={ + "gt_filenames": gt_point_label_filenames, + "gt_frames_per_job_count": self._job_val_frames_count, + }, + ) + + gt_point_dataset = self._prepare_gt_dataset_for_skeleton_point( + point_label_name=point_label_name, + skeleton_label_id=skeleton_label_id, + ) + + self._setup_gt_job_for_cvat_task( + cvat_task.id, gt_point_dataset, dm_export_format="cvat" + ) + self._setup_quality_settings( + cvat_task.id, oks_sigma=Config.cvat_config.oks_sigma + ) + + db_service.create_data_upload(session, cvat_task.id) + + db_service.touch(session, Project, created_projects) + + def build(self): + self._download_input_data() + self._parse_gt() + self._parse_boxes() + self._validate_gt() + self._validate_boxes() + + # Task configuration creation + self._prepare_gt() + self._prepare_roi_infos() + self._prepare_task_params() + self._mangle_filenames() + self._prepare_job_labels() + + # Data preparation + self._extract_and_upload_rois() + self._upload_task_meta() + self._prepare_gt_points_mapping() + + self._create_on_cvat() diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/exceptions.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/exceptions.py new file mode 100644 index 0000000000..bf737ef20f --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/exceptions.py @@ -0,0 +1,29 @@ +from __future__ import annotations + + +class DatasetValidationError(Exception): + pass + + +class MismatchingAnnotations(DatasetValidationError): + pass + + +class TooFewSamples(DatasetValidationError): + pass + + +class InvalidCategories(DatasetValidationError): + pass + + +class InvalidImageInfo(DatasetValidationError): + pass + + +class InvalidCoordinates(DatasetValidationError): + pass + + +class InvisibleSkeletonError(DatasetValidationError): + pass diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py new file mode 100644 index 0000000000..8cd0b3bc20 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py @@ -0,0 +1,44 @@ +from __future__ import annotations + +from src.chain.escrow import get_escrow_manifest +from src.core.types import TaskTypes +from src.handlers.job_creation.builders.audio.transcription import AudioTranscriptionTaskBuilder +from src.handlers.job_creation.builders.vision.basic import ( + PointsTaskBuilder, + PolygonTaskBuilder, + SimpleTaskBuilder, +) +from src.handlers.job_creation.builders.vision.boxes_from_points import BoxesFromPointsTaskBuilder +from src.handlers.job_creation.builders.vision.skeletons_from_boxes import ( + SkeletonsFromBoxesTaskBuilder, +) +from src.log import ROOT_LOGGER_NAME +from src.utils.assignments import parse_manifest +from src.utils.logging import get_function_logger + +module_logger = f"{ROOT_LOGGER_NAME}.cron.cvat" + + +def create_task(escrow_address: str, chain_id: int) -> None: + logger = get_function_logger(module_logger) + + manifest = parse_manifest(get_escrow_manifest(chain_id, escrow_address)) + + if manifest.annotation.type in [TaskTypes.image_boxes, TaskTypes.image_label_binary]: + builder_type = SimpleTaskBuilder + elif manifest.annotation.type is TaskTypes.image_polygons: + builder_type = PolygonTaskBuilder + elif manifest.annotation.type in [TaskTypes.image_points]: + builder_type = PointsTaskBuilder + elif manifest.annotation.type in [TaskTypes.image_boxes_from_points]: + builder_type = BoxesFromPointsTaskBuilder + elif manifest.annotation.type in [TaskTypes.image_skeletons_from_boxes]: + builder_type = SkeletonsFromBoxesTaskBuilder + elif manifest.annotation.type in [TaskTypes.audio_transcription]: + builder_type = AudioTranscriptionTaskBuilder + else: + raise Exception(f"Unsupported task type {manifest.annotation.type}") + + with builder_type(manifest, escrow_address, chain_id) as task_builder: + task_builder.set_logger(logger) + task_builder.build() diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py new file mode 100644 index 0000000000..fb40f5ab19 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py @@ -0,0 +1,102 @@ +from __future__ import annotations + +import os +from dataclasses import dataclass, field +from typing import TYPE_CHECKING, TypeVar + +from datumaro.util.image import IMAGE_EXTENSIONS + +import src.cvat.api_calls as cvat_api +from src.core.types import TaskTypes +from src.services.cloud import CloudProviders + +if TYPE_CHECKING: + from src.core.manifest import TaskManifest + from src.services.cloud.utils import BucketAccessInfo + +LABEL_TYPE_MAPPING = { + TaskTypes.image_label_binary: cvat_api.LabelType.tag, + TaskTypes.image_points: cvat_api.LabelType.points, + TaskTypes.image_boxes: cvat_api.LabelType.rectangle, + TaskTypes.image_polygons: cvat_api.LabelType.polygon, + TaskTypes.image_boxes_from_points: cvat_api.LabelType.rectangle, + TaskTypes.image_skeletons_from_boxes: cvat_api.LabelType.points, +} + + +T = TypeVar("T") + + +class _Undefined: + def __bool__(self) -> bool: + return False + + +_unset = _Undefined() + +_MaybeUnset = T | _Undefined + + +@dataclass +class _ExcludedAnnotationInfo: + message: str + sample_id: str = field(kw_only=True) + sample_subset: str = field(kw_only=True) + + +@dataclass +class _ExcludedAnnotationsInfo: + messages: list[_ExcludedAnnotationInfo] = field(default_factory=list) + + excluded_count: int = 0 + "The number of excluded annotations. Can be different from len(messages)" + + total_count: int = 0 + + def add_message(self, message: str, *, sample_id: str, sample_subset: str): + self.messages.append( + _ExcludedAnnotationInfo( + message=message, sample_id=sample_id, sample_subset=sample_subset + ) + ) + + +def is_image(path: str) -> bool: + trunk, ext = os.path.splitext(os.path.basename(path)) + return trunk and ext.lower() in IMAGE_EXTENSIONS + + +def filter_image_files(data_filenames: list[str]) -> list[str]: + return [fn for fn in data_filenames if is_image(fn)] + + +def strip_bucket_prefix(data_filenames: list[str], prefix: str) -> list[str]: + return [os.path.relpath(fn, prefix) for fn in data_filenames] + + +def make_label_configuration(manifest: TaskManifest) -> list[dict]: + return [ + { + "name": label.name, + "type": LABEL_TYPE_MAPPING[manifest.annotation.type].value, + } + for label in manifest.annotation.labels + ] + + +def _make_cvat_cloud_storage_params(bucket_info: BucketAccessInfo) -> dict: + CLOUD_PROVIDER_TO_CVAT_CLOUD_PROVIDER = { + CloudProviders.aws: "AWS_S3_BUCKET", + CloudProviders.gcs: "GOOGLE_CLOUD_STORAGE", + } + + params = { + "provider": CLOUD_PROVIDER_TO_CVAT_CLOUD_PROVIDER[bucket_info.provider], + "bucket_name": bucket_info.bucket_name, + "bucket_host": bucket_info.host_url, + } + + if bucket_info.credentials: + params["credentials"] = bucket_info.credentials.to_dict() + + return params diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py index a3d67c7eb6..e85ea9b79c 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py @@ -15,8 +15,8 @@ from src.core.config import Config from src.core.manifest import TaskManifest from src.core.storage import compose_data_bucket_filename +from src.core.tasks.cvat_formats import DM_DATASET_FORMAT_MAPPING from src.core.types import TaskTypes -from src.handlers.job_creation import DM_DATASET_FORMAT_MAPPING from src.models.cvat import Image, Job from src.services.cloud import make_client as make_cloud_client from src.services.cloud.utils import BucketAccessInfo diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py index 89b166425a..bd999774ad 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py @@ -63,9 +63,11 @@ def test_process_incoming_job_launcher_webhooks_escrow_created_type(self): with ( patch("src.chain.escrow.get_escrow") as mock_escrow, open("tests/utils/manifest.json") as data, - patch("src.handlers.job_creation.get_escrow_manifest") as mock_get_manifest, - patch("src.handlers.job_creation.cvat_api") as mock_cvat_api, - patch("src.handlers.job_creation.cloud_service.make_client") as mock_make_cloud_client, + patch("src.handlers.job_creation.factory.get_escrow_manifest") as mock_get_manifest, + patch("src.handlers.job_creation.builders.vision.basic.cvat_api") as mock_cvat_api, + patch( + "src.handlers.job_creation.builders.vision.basic.cloud_service.make_client" + ) as mock_make_cloud_client, ): manifest = json.load(data) mock_get_manifest.return_value = manifest @@ -247,11 +249,13 @@ def test_process_incoming_job_launcher_webhooks_escrow_created_type_remove_when_ with ( patch("src.chain.escrow.get_escrow") as mock_escrow, open("tests/utils/manifest.json") as data, - patch("src.handlers.job_creation.get_escrow_manifest") as mock_get_manifest, - patch("src.handlers.job_creation.cvat_api") as mock_cvat_api, - patch("src.handlers.job_creation.cloud_service.make_client") as mock_make_cloud_client, + patch("src.handlers.job_creation.factory.get_escrow_manifest") as mock_get_manifest, + patch("src.handlers.job_creation.builders.vision.basic.cvat_api") as mock_cvat_api, + patch( + "src.handlers.job_creation.builders.vision.basic.cloud_service.make_client" + ) as mock_make_cloud_client, patch( - "src.handlers.job_creation.db_service.add_project_images", + "src.handlers.job_creation.builders.vision.basic.db_service.add_project_images", side_effect=Exception("Error"), ), ): From b5ada8ccd30b7f8d9345d004647f87d76e5d909c Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 30 Jun 2026 15:00:53 +0300 Subject: [PATCH 02/53] refactor(exchange-oracle): move entrypoints and app factory out of package roots - Move run.py and debug.py into src/entrypoints/; launch them via 'python -m src.entrypoints.{run,debug}' in bin/start_*.sh. Fix debug.py repo_root to Path(__file__).parents[2] after the move. - Move the FastAPI app out of src/__init__.py into a new src/apps/exchange_oracle.py; src/__init__.py is now empty. - Repoint consumers: tests/conftest.py and the uvicorn app strings now use src.apps.exchange_oracle:app, and src/crons/_cron_job.py imports Config from src.core.config instead of the package root. Co-Authored-By: Claude Opus 4.8 (1M context) --- .../examples/cvat/exchange-oracle/README.md | 2 +- .../cvat/exchange-oracle/bin/start_debug.sh | 2 +- .../cvat/exchange-oracle/bin/start_dev.sh | 2 +- .../cvat/exchange-oracle/bin/start_prod.sh | 2 +- .../cvat/exchange-oracle/src/__init__.py | 36 ------------- .../cvat/exchange-oracle/src/apps/__init__.py | 0 .../src/apps/exchange_oracle.py | 36 +++++++++++++ .../exchange-oracle/src/crons/_cron_job.py | 2 +- .../src/entrypoints/__init__.py | 0 .../{ => src/entrypoints}/debug.py | 54 +++++++++++++------ .../{ => src/entrypoints}/run.py | 2 +- .../cvat/exchange-oracle/tests/conftest.py | 2 +- 12 files changed, 81 insertions(+), 59 deletions(-) create mode 100644 packages/examples/cvat/exchange-oracle/src/apps/__init__.py create mode 100644 packages/examples/cvat/exchange-oracle/src/apps/exchange_oracle.py create mode 100644 packages/examples/cvat/exchange-oracle/src/entrypoints/__init__.py rename packages/examples/cvat/exchange-oracle/{ => src/entrypoints}/debug.py (87%) rename packages/examples/cvat/exchange-oracle/{ => src/entrypoints}/run.py (89%) diff --git a/packages/examples/cvat/exchange-oracle/README.md b/packages/examples/cvat/exchange-oracle/README.md index b1bcb63f6e..e618389c7d 100644 --- a/packages/examples/cvat/exchange-oracle/README.md +++ b/packages/examples/cvat/exchange-oracle/README.md @@ -30,7 +30,7 @@ docker compose -f docker-compose.dev.yml up -d ./bin/start_debug.sh ``` -When running service from `./bin/start_debug.sh` (`debug.py`), simplified development flow is available: +When running service from `./bin/start_debug.sh` (`src/entrypoints/debug.py`), simplified development flow is available: - When JWT token is required, simple JSON can be used instead of JWT token. - When webhook signature is required, `{oracle_name}:unique_string` can be used diff --git a/packages/examples/cvat/exchange-oracle/bin/start_debug.sh b/packages/examples/cvat/exchange-oracle/bin/start_debug.sh index ff93f4765c..a7d31fdc4f 100755 --- a/packages/examples/cvat/exchange-oracle/bin/start_debug.sh +++ b/packages/examples/cvat/exchange-oracle/bin/start_debug.sh @@ -1,4 +1,4 @@ export ENVIRONMENT=development alembic upgrade head -python debug.py \ No newline at end of file +python -m src.entrypoints.debug \ No newline at end of file diff --git a/packages/examples/cvat/exchange-oracle/bin/start_dev.sh b/packages/examples/cvat/exchange-oracle/bin/start_dev.sh index 64f2bd6fe1..66f642002c 100755 --- a/packages/examples/cvat/exchange-oracle/bin/start_dev.sh +++ b/packages/examples/cvat/exchange-oracle/bin/start_dev.sh @@ -1,4 +1,4 @@ export ENVIRONMENT=development alembic upgrade head -python run.py \ No newline at end of file +python -m src.entrypoints.run \ No newline at end of file diff --git a/packages/examples/cvat/exchange-oracle/bin/start_prod.sh b/packages/examples/cvat/exchange-oracle/bin/start_prod.sh index 01e23572e6..bd5322ceb1 100755 --- a/packages/examples/cvat/exchange-oracle/bin/start_prod.sh +++ b/packages/examples/cvat/exchange-oracle/bin/start_prod.sh @@ -1,4 +1,4 @@ export ENVIRONMENT=production alembic upgrade head -python run.py \ No newline at end of file +python -m src.entrypoints.run \ No newline at end of file diff --git a/packages/examples/cvat/exchange-oracle/src/__init__.py b/packages/examples/cvat/exchange-oracle/src/__init__.py index a6067b3e7b..e69de29bb2 100644 --- a/packages/examples/cvat/exchange-oracle/src/__init__.py +++ b/packages/examples/cvat/exchange-oracle/src/__init__.py @@ -1,36 +0,0 @@ -import logging - -from fastapi import FastAPI - -from src.core.config import Config -from src.crons import setup_cron_jobs -from src.endpoints import init_api -from src.handlers.error_handlers import setup_error_handlers -from src.log import setup_logging - -setup_logging() - -app = FastAPI( - title="Human Exchange Oracle", - description=""" - Exchange Oracle is a HUMAN oracle which main goal is to: - 1. Receive webhooks from a Job Launcher - 2. Process them and create jobs on CVAT - 3. Retrieve annotations and store them in a s3 bucket - 4. Notify recording oracle that raw annotations are ready - """, - version="0.1.0", -) - -init_api(app) -setup_error_handlers(app) - - -@app.on_event("startup") -async def startup_event(): - logger = logging.getLogger("app") - logger.info("Exchange Oracle is up and running!") - - -if not Config.is_test_mode(): - setup_cron_jobs(app) diff --git a/packages/examples/cvat/exchange-oracle/src/apps/__init__.py b/packages/examples/cvat/exchange-oracle/src/apps/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/examples/cvat/exchange-oracle/src/apps/exchange_oracle.py b/packages/examples/cvat/exchange-oracle/src/apps/exchange_oracle.py new file mode 100644 index 0000000000..a6067b3e7b --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/apps/exchange_oracle.py @@ -0,0 +1,36 @@ +import logging + +from fastapi import FastAPI + +from src.core.config import Config +from src.crons import setup_cron_jobs +from src.endpoints import init_api +from src.handlers.error_handlers import setup_error_handlers +from src.log import setup_logging + +setup_logging() + +app = FastAPI( + title="Human Exchange Oracle", + description=""" + Exchange Oracle is a HUMAN oracle which main goal is to: + 1. Receive webhooks from a Job Launcher + 2. Process them and create jobs on CVAT + 3. Retrieve annotations and store them in a s3 bucket + 4. Notify recording oracle that raw annotations are ready + """, + version="0.1.0", +) + +init_api(app) +setup_error_handlers(app) + + +@app.on_event("startup") +async def startup_event(): + logger = logging.getLogger("app") + logger.info("Exchange Oracle is up and running!") + + +if not Config.is_test_mode(): + setup_cron_jobs(app) diff --git a/packages/examples/cvat/exchange-oracle/src/crons/_cron_job.py b/packages/examples/cvat/exchange-oracle/src/crons/_cron_job.py index 2ed2b83b2c..ec0ce7c929 100644 --- a/packages/examples/cvat/exchange-oracle/src/crons/_cron_job.py +++ b/packages/examples/cvat/exchange-oracle/src/crons/_cron_job.py @@ -6,7 +6,7 @@ from sqlalchemy.orm import Session -from src import Config +from src.core.config import Config from src.db import SessionLocal from src.log import get_logger_name diff --git a/packages/examples/cvat/exchange-oracle/src/entrypoints/__init__.py b/packages/examples/cvat/exchange-oracle/src/entrypoints/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/examples/cvat/exchange-oracle/debug.py b/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py similarity index 87% rename from packages/examples/cvat/exchange-oracle/debug.py rename to packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py index 4b89982d89..e5709d2a5b 100644 --- a/packages/examples/cvat/exchange-oracle/debug.py +++ b/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py @@ -1,7 +1,9 @@ import datetime import inspect import json +import sys import uuid +from argparse import ArgumentParser from collections.abc import Generator from contextlib import ExitStack, contextmanager from logging import Logger @@ -24,14 +26,16 @@ @contextmanager def _mock_cvat_cloud_storage_params(logger: Logger) -> Generator[None, None, None]: - from src.handlers.job_creation import ( + from src.handlers.job_creation.utils import ( _make_cvat_cloud_storage_params as original_make_cvat_cloud_storage_params, ) def patched_make_cvat_cloud_storage_params(bucket_info: BucketAccessInfo) -> dict: original_host_url = bucket_info.host_url - if Config.development_config.cvat_in_docker: + if Config.development_config.cvat_in_docker and ( + "localhost" in original_host_url or "127.0.0.1" in original_host_url + ): bucket_info.host_url = str( URL(original_host_url).copy_with( host=Config.development_config.exchange_oracle_host @@ -46,10 +50,15 @@ def patched_make_cvat_cloud_storage_params(bucket_info: BucketAccessInfo) -> dic finally: bucket_info.host_url = original_host_url - with mock.patch( - "src.handlers.job_creation._make_cvat_cloud_storage_params", - patched_make_cvat_cloud_storage_params, - ): + # The helper is looked up in each builder module that imports it, so patch all of them. + patch_targets = [ + "src.handlers.job_creation.builders.vision.basic._make_cvat_cloud_storage_params", + "src.handlers.job_creation.builders.vision.boxes_from_points._make_cvat_cloud_storage_params", + "src.handlers.job_creation.builders.vision.skeletons_from_boxes._make_cvat_cloud_storage_params", + ] + with ExitStack() as stack: + for target in patch_targets: + stack.enter_context(mock.patch(target, patched_make_cvat_cloud_storage_params)) yield @@ -69,8 +78,7 @@ def patched_get_escrow(chain_id: int, escrow_address: str) -> EscrowData: fn for fn in minio_manifests if ( - "/" in escrow_address - and fn == f"{escrow_address}.json" + ("/" in escrow_address and fn == f"{escrow_address}.json") or PurePosixPath(fn).name == f"{escrow_address}.json" ) ] @@ -235,7 +243,7 @@ def _mock_human_app_keys(_: Logger) -> Generator[None, None, None]: from tests.api.test_exchange_api import generate_ecdsa_keys # generating keys for local development - repo_root = Path(__file__).parent + repo_root = Path(__file__).parents[2] dev_dir = repo_root / "dev" dev_dir.mkdir(exist_ok=True) @@ -280,7 +288,20 @@ def apply_local_development_patches() -> Generator[None, None, None]: yield -if __name__ == "__main__": +def run_server(): + uvicorn.run( + app="src.apps.exchange_oracle:app", + host="0.0.0.0", # noqa: S104 + port=int(Config.port), + workers=Config.workers_amount, + ) + + +def main(args: list[str] | None = None) -> int: + parser = ArgumentParser() + parser.add_argument("-e", "--entrypoint", default=run_server) + parsed_args = parser.parse_args(args) + with ExitStack() as es: is_dev = Config.environment == "development" if is_dev: @@ -289,9 +310,10 @@ def apply_local_development_patches() -> Generator[None, None, None]: Config.validate() register_in_kvstore() - uvicorn.run( - app="src:app", - host="0.0.0.0", # noqa: S104 - port=int(Config.port), - workers=Config.workers_amount, - ) + parsed_args.entrypoint() + + return 0 + + +if __name__ == "__main__": + sys.exit(main(sys.argv[1:])) diff --git a/packages/examples/cvat/exchange-oracle/run.py b/packages/examples/cvat/exchange-oracle/src/entrypoints/run.py similarity index 89% rename from packages/examples/cvat/exchange-oracle/run.py rename to packages/examples/cvat/exchange-oracle/src/entrypoints/run.py index d663c2f2a0..071c80f64f 100644 --- a/packages/examples/cvat/exchange-oracle/run.py +++ b/packages/examples/cvat/exchange-oracle/src/entrypoints/run.py @@ -9,7 +9,7 @@ register_in_kvstore() uvicorn.run( - app="src:app", + app="src.apps.exchange_oracle:app", host="0.0.0.0", # noqa: S104 port=int(Config.port), workers=Config.workers_amount, diff --git a/packages/examples/cvat/exchange-oracle/tests/conftest.py b/packages/examples/cvat/exchange-oracle/tests/conftest.py index c2b92ac0ed..0f3077cac5 100644 --- a/packages/examples/cvat/exchange-oracle/tests/conftest.py +++ b/packages/examples/cvat/exchange-oracle/tests/conftest.py @@ -14,7 +14,7 @@ from alembic import command as alembic_command from alembic.config import Config -from src import app +from src.apps.exchange_oracle import app from src.db import Base, SessionLocal, engine alembic_config = Config(Path(__file__).parent.parent / "alembic.ini") From a28c4e5c07ec9fdb482b45e67217fd2f2b63a423 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Wed, 1 Jul 2026 19:10:16 +0300 Subject: [PATCH 03/53] Prepare code for manifest version update --- .../cvat/exchange-oracle/src/core/{manifest.py => manifest/v1.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename packages/examples/cvat/exchange-oracle/src/core/{manifest.py => manifest/v1.py} (100%) diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/v1.py similarity index 100% rename from packages/examples/cvat/exchange-oracle/src/core/manifest.py rename to packages/examples/cvat/exchange-oracle/src/core/manifest/v1.py From 1df26e024c95fa58e94f29106be0ca913b4fff99 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Thu, 2 Jul 2026 13:20:41 +0300 Subject: [PATCH 04/53] Introduce manifest v2 --- .../src/core/manifest/__init__.py | 23 +++ .../exchange-oracle/src/core/manifest/base.py | 6 + .../src/core/manifest/shared.py | 105 +++++++++++ .../exchange-oracle/src/core/manifest/v1.py | 112 +----------- .../exchange-oracle/src/core/manifest/v2.py | 169 ++++++++++++++++++ .../cvat/exchange-oracle/src/core/types.py | 1 + 6 files changed, 309 insertions(+), 107 deletions(-) create mode 100644 packages/examples/cvat/exchange-oracle/src/core/manifest/__init__.py create mode 100644 packages/examples/cvat/exchange-oracle/src/core/manifest/base.py create mode 100644 packages/examples/cvat/exchange-oracle/src/core/manifest/shared.py create mode 100644 packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/__init__.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/__init__.py new file mode 100644 index 0000000000..d19a7550a7 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/__init__.py @@ -0,0 +1,23 @@ +from typing import Any + +from src.core.manifest import v1, v2 +from src.core.manifest.base import ManifestBase + +__all__ = [ + "ManifestBase", + "parse_manifest", + "v1", + "v2", +] + + +def parse_manifest(manifest: Any) -> ManifestBase: + if isinstance(manifest, dict): + version = manifest.get("version") + else: + version = getattr(manifest, "version", None) + + if version == 2: + return v2.JobManifest.model_validate(manifest) + else: + return v1.JobManifest.model_validate(manifest) diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/base.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/base.py new file mode 100644 index 0000000000..5c14e1bc11 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/base.py @@ -0,0 +1,6 @@ +from typing import Protocol, runtime_checkable + + +@runtime_checkable +class ManifestBase(Protocol): + version: int diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/shared.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/shared.py new file mode 100644 index 0000000000..089429cc94 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/shared.py @@ -0,0 +1,105 @@ +from enum import Enum +from typing import Annotated, Any, Literal + +from pydantic import BaseModel, Field, model_validator + +from src.utils.enums import BetterEnumMeta + + +class BucketProviders(str, Enum): + aws = "AWS" + gcs = "GCS" + + +class BucketUrlBase(BaseModel): + provider: BucketProviders + host_url: str + bucket_name: str + path: str = "" + + +class AwsBucketUrl(BucketUrlBase, BaseModel): + provider: Literal[BucketProviders.aws] + access_key: str = "" # (optional) AWS Access key + secret_key: str = "" # (optional) AWS Secret key + + +class GcsBucketUrl(BucketUrlBase, BaseModel): + provider: Literal[BucketProviders.gcs] + service_account_key: dict[str, Any] = {} # (optional) Contents of GCS key file + + +BucketUrl = Annotated[AwsBucketUrl | GcsBucketUrl, Field(discriminator="provider")] + + +class LabelTypes(str, Enum, metaclass=BetterEnumMeta): + plain = "plain" + skeleton = "skeleton" + + +class LabelInfoBase(BaseModel): + name: str = Field(min_length=1) + # https://docs.cvat.ai/docs/api_sdk/sdk/reference/models/label/ + + type: LabelTypes = LabelTypes.plain + + +class PlainLabelInfo(LabelInfoBase): + type: Literal[LabelTypes.plain] + + +class SkeletonLabelInfo(LabelInfoBase): + type: Literal[LabelTypes.skeleton] + + nodes: list[str] = Field(min_length=1) + """ + A list of node label names (only points are supposed to be nodes). + Example: + [ + "left hand", "torso", "right hand", "head" + ] + """ + + joints: list[tuple[int, int]] | None = Field(default_factory=list) + "A list of node adjacency, e.g. [[0, 1], [1, 2], [1, 3]]" + + @model_validator(mode="before") + @classmethod + def validate_type(cls, values: dict[str, Any]) -> dict[str, Any]: + if not isinstance(values, dict): + raise NotImplementedError + + if values["type"] != LabelTypes.skeleton: + raise ValueError(f"Label type must be {LabelTypes.skeleton}") + + skeleton_name = values["name"] + + existing_names = set() + for node_name in values["nodes"]: + node_name = node_name.strip() + + if not node_name: + raise ValueError(f"Skeleton '{skeleton_name}': point name is empty") + + if node_name.lower() in existing_names: + raise ValueError( + f"Skeleton '{skeleton_name}' point {node_name}: label is duplicated" + ) + + existing_names.add(node_name.lower()) + + nodes_count = len(values["nodes"]) + joints = values.get("joints") + if joints is not None: + for joint_idx, joint in enumerate(joints): + for v in joint: + if not (0 <= v < nodes_count): + raise ValueError( + f"Skeleton '{skeleton_name}' joint #{joint_idx}: invalid value. " + f"Expected a number in the range [0; {nodes_count - 1}]" + ) + + return values + + +LabelInfo = Annotated[PlainLabelInfo | SkeletonLabelInfo, Field(discriminator="type")] diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/v1.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/v1.py index 4a0f7a81c8..5d6abafe62 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/manifest/v1.py +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/v1.py @@ -1,37 +1,10 @@ from decimal import Decimal -from enum import Enum -from typing import Annotated, Any, Literal +from typing import Any, Literal from pydantic import AnyUrl, BaseModel, Field, model_validator +from src.core.manifest.shared import BucketUrl, LabelInfo, LabelTypes from src.core.types import TaskTypes -from src.utils.enums import BetterEnumMeta - - -class BucketProviders(str, Enum): - aws = "AWS" - gcs = "GCS" - - -class BucketUrlBase(BaseModel): - provider: BucketProviders - host_url: str - bucket_name: str - path: str = "" - - -class AwsBucketUrl(BucketUrlBase, BaseModel): - provider: Literal[BucketProviders.aws] - access_key: str = "" # (optional) AWS Access key - secret_key: str = "" # (optional) AWS Secret key - - -class GcsBucketUrl(BucketUrlBase, BaseModel): - provider: Literal[BucketProviders.gcs] - service_account_key: dict[str, Any] = {} # (optional) Contents of GCS key file - - -BucketUrl = Annotated[AwsBucketUrl | GcsBucketUrl, Field(discriminator="provider")] class DataInfo(BaseModel): @@ -48,79 +21,6 @@ class DataInfo(BaseModel): "which provides information about all objects on images" -class LabelTypes(str, Enum, metaclass=BetterEnumMeta): - plain = "plain" - skeleton = "skeleton" - - -class LabelInfoBase(BaseModel): - name: str = Field(min_length=1) - # https://opencv.github.io/cvat/docs/api_sdk/sdk/reference/models/label/ - - type: LabelTypes = LabelTypes.plain - - -class PlainLabelInfo(LabelInfoBase): - type: Literal[LabelTypes.plain] - - -class SkeletonLabelInfo(LabelInfoBase): - type: Literal[LabelTypes.skeleton] - - nodes: list[str] = Field(min_length=1) - """ - A list of node label names (only points are supposed to be nodes). - Example: - [ - "left hand", "torso", "right hand", "head" - ] - """ - - joints: list[tuple[int, int]] | None = Field(default_factory=list) - "A list of node adjacency, e.g. [[0, 1], [1, 2], [1, 3]]" - - @model_validator(mode="before") - @classmethod - def validate_type(cls, values: dict[str, Any]) -> dict[str, Any]: - if not isinstance(values, dict): - raise NotImplementedError - - if values["type"] != LabelTypes.skeleton: - raise ValueError(f"Label type must be {LabelTypes.skeleton}") - - skeleton_name = values["name"] - - existing_names = set() - for node_name in values["nodes"]: - node_name = node_name.strip() - - if not node_name: - raise ValueError(f"Skeleton '{skeleton_name}': point name is empty") - - if node_name.lower() in existing_names: - raise ValueError( - f"Skeleton '{skeleton_name}' point {node_name}: label is duplicated" - ) - - existing_names.add(node_name.lower()) - - nodes_count = len(values["nodes"]) - joints = values.get("joints") - if joints is not None: - for joint_idx, joint in enumerate(joints): - for v in joint: - if not (0 <= v < nodes_count): - raise ValueError( - f"Skeleton '{skeleton_name}' joint #{joint_idx}: invalid value. " - f"Expected a number in the range [0; {nodes_count - 1}]" - ) - - return values - - -LabelInfo = Annotated[PlainLabelInfo | SkeletonLabelInfo, Field(discriminator="type")] - - class AnnotationInfo(BaseModel): type: TaskTypes @@ -172,14 +72,12 @@ class ValidationInfo(BaseModel): "URL to the archive with Ground Truth annotations, the format is COCO keypoints" -class TaskManifest(BaseModel): +class JobManifest(BaseModel): + version: Literal[1] = 1 + data: DataInfo annotation: AnnotationInfo validation: ValidationInfo job_bounty: Decimal = Field(ge=0) "Assignment bounty, a decimal value in HMT" - - -def parse_manifest(manifest: Any) -> TaskManifest: - return TaskManifest.model_validate(manifest) diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py new file mode 100644 index 0000000000..4d1e03449f --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py @@ -0,0 +1,169 @@ +from enum import Enum +from typing import Any, Literal + +from pydantic import AnyUrl, BaseModel, ConfigDict, Field, model_validator + +from src.core.manifest.shared import BucketUrl, LabelInfo, LabelTypes +from src.core.types import TaskTypes +from src.utils.enums import BetterEnumMeta + + +class DataInfo(BaseModel): + media_url: AnyUrl | BucketUrl + "Bucket URL, AWS S3 | GCS, virtual-hosted-style access" + + gt_url: AnyUrl | BucketUrl + "URL to the archive with Ground Truth annotations" + + points_url: AnyUrl | BucketUrl | None = None + """ + A path to a file or an archive with a set of points in COCO Keypoints format. + Applicable for: image_boxes_from_points + """ + + boxes_url: AnyUrl | BucketUrl | None = None + """ + A path to a file or an archive with a set of boxes in COCO Instances format. + Applicable for: image_skeletons_from_boxes + """ + + regions_url: AnyUrl | BucketUrl | None = None + """ + A path to a file or an archive with audio regions in the CVAT Generic TSV format. + Applicable for: audio_transcription + """ + + +class TargetMetrics(str, Enum, metaclass=BetterEnumMeta): + accuracy = "accuracy" + wer = "wer" + cer = "cer" + + +class ValidationInfo(BaseModel): + target_score: float = Field(ge=0) + "Required annotation score. Can be minimal or maximal depending on the metric used" + + target_metric: TargetMetrics = TargetMetrics.accuracy + "Metric used to score annotations against the target" + + +class MinComposition(BaseModel): + gt: int + "Minimal number of Ground Truth samples per composition" + + ds: int + "Minimal number of dataset samples per composition" + + +class DetailsInfoBase(BaseModel): + model_config = ConfigDict(extra="forbid") + + max_time: int | None = None + "Maximum assignment time, seconds" + + +class ImageJobDetails(DetailsInfoBase): + job_size: int | None = None + "Frames per job, validation frames are not included" + + val_size: int | None = None + "Validation frames per job" + + +class AudioJobDetails(DetailsInfoBase): + normalizer: str | None = "basic" + "Text normalizer for audio transcription" + + max_segment_duration: int | None = None + "Maximum audio segment duration, seconds" + + min_composition: MinComposition | None = None + "Minimal composition of a job" + + validation_overhead: int | None = None + "Extra validation samples added on top of the required amount" + + +DetailsInfo = ImageJobDetails | AudioJobDetails + + +class SharedAttribute(BaseModel): + name: str = Field(min_length=1) + type: str + values: list[str] = Field(default_factory=list) + default_value: str = "" + + +class AnnotationInfo(BaseModel): + description: str = "" + "Brief task description" + + user_guide_url: str = "" + "URL to the user guide in markdown format" + + labels: list[LabelInfo] = Field(min_length=1) + "Label declarations with accepted annotation types" + + shared_attributes: list[SharedAttribute] = Field(default_factory=list) + "Shared annotation attributes" + + validation: ValidationInfo + + qualifications: list[str] = Field(default_factory=list) + "A list of annotator qualifications required for participation" + + details: ImageJobDetails | AudioJobDetails | None = None + "Task-specific details" + + @model_validator(mode="before") + @classmethod + def validate_label_type(cls, values: dict[str, Any]) -> dict[str, Any]: + if not isinstance(values, dict): + raise NotImplementedError + + default_label_type = LabelTypes.plain + if values["type"] == TaskTypes.image_skeletons_from_boxes: + default_label_type = LabelTypes.skeleton + + # Add default value for labels, if none provided. + # pydantic can't do this for tagged unions + try: + labels = values["labels"] + for label_info in labels: + label_info["type"] = label_info.get("type", default_label_type) + except KeyError: + pass + + return values + + +class JobManifest(BaseModel): + version: Literal[2] + + task_type: TaskTypes + data: DataInfo + annotation: AnnotationInfo + + @model_validator(mode="before") + @classmethod + def validate_task_details(cls, values: dict[str, Any]) -> dict[str, Any]: + if not isinstance(values, dict): + raise NotImplementedError + + annotation = values.get("annotation") + if not isinstance(annotation, dict): + raise NotImplementedError + + if details := annotation.get("details"): + if not isinstance(details, dict): + raise NotImplementedError + + details_cls = ( + AudioJobDetails + if values.get("job_type") == TaskTypes.audio_transcription + else ImageJobDetails + ) + annotation["details"] = details_cls.model_validate(details) + + return values diff --git a/packages/examples/cvat/exchange-oracle/src/core/types.py b/packages/examples/cvat/exchange-oracle/src/core/types.py index 091e2d6133..53d816b33c 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/types.py +++ b/packages/examples/cvat/exchange-oracle/src/core/types.py @@ -38,6 +38,7 @@ class TaskTypes(str, Enum, metaclass=BetterEnumMeta): image_boxes_from_points = "image_boxes_from_points" image_skeletons_from_boxes = "image_skeletons_from_boxes" image_polygons = "image_polygons" + audio_transcription = "audio_transcription" class OracleWebhookTypes(str, Enum, metaclass=BetterEnumMeta): From 7e3138dbb0dbc75074abb1568228d99223ef3845 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Thu, 2 Jul 2026 16:14:29 +0300 Subject: [PATCH 05/53] Move TaskTypes to core.tasks --- .../exchange-oracle/src/core/manifest/v1.py | 2 +- .../exchange-oracle/src/core/manifest/v2.py | 2 +- .../exchange-oracle/src/core/tasks/__init__.py | 5 +++++ .../src/core/tasks/cvat_formats.py | 2 +- .../exchange-oracle/src/core/tasks/types.py | 13 +++++++++++++ .../cvat/exchange-oracle/src/core/types.py | 10 ---------- .../exchange-oracle/src/endpoints/exchange.py | 3 ++- .../src/handlers/completed_escrows.py | 3 ++- .../src/handlers/job_creation/factory.py | 2 +- .../src/handlers/job_creation/utils.py | 2 +- .../exchange-oracle/src/handlers/job_export.py | 2 +- .../cvat/exchange-oracle/src/models/cvat.py | 2 +- .../exchange-oracle/src/schemas/exchange.py | 3 ++- .../cvat/exchange-oracle/src/services/cvat.py | 2 +- .../exchange-oracle/src/services/exchange.py | 3 ++- .../exchange-oracle/src/utils/assignments.py | 17 +---------------- .../tests/api/test_exchange_api.py | 3 ++- .../test_track_completed_escrows.py | 2 +- .../test_track_completed_projects.py | 3 ++- .../test_track_completed_tasks.py | 3 ++- .../cron/test_process_job_launcher_webhooks.py | 2 +- .../test_process_recording_oracle_webhooks.py | 2 +- .../test_process_reputation_oracle_webhooks.py | 2 +- .../tests/integration/services/test_cvat.py | 2 +- .../tests/integration/services/test_exchange.py | 3 ++- .../exchange-oracle/tests/utils/db_helper.py | 3 ++- .../exchange-oracle/tests/utils/setup_cvat.py | 3 ++- 27 files changed, 52 insertions(+), 49 deletions(-) create mode 100644 packages/examples/cvat/exchange-oracle/src/core/tasks/types.py diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/v1.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/v1.py index 5d6abafe62..1b774ebd5f 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/manifest/v1.py +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/v1.py @@ -4,7 +4,7 @@ from pydantic import AnyUrl, BaseModel, Field, model_validator from src.core.manifest.shared import BucketUrl, LabelInfo, LabelTypes -from src.core.types import TaskTypes +from src.core.tasks import TaskTypes class DataInfo(BaseModel): diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py index 4d1e03449f..10f49fcc75 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py @@ -4,7 +4,7 @@ from pydantic import AnyUrl, BaseModel, ConfigDict, Field, model_validator from src.core.manifest.shared import BucketUrl, LabelInfo, LabelTypes -from src.core.types import TaskTypes +from src.core.tasks import TaskTypes from src.utils.enums import BetterEnumMeta diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/__init__.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/__init__.py index e69de29bb2..2245fece0a 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/__init__.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/__init__.py @@ -0,0 +1,5 @@ +from src.core.tasks.types import TaskTypes + +__all__ = [ + "TaskTypes" +] diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/cvat_formats.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/cvat_formats.py index 2c102a0e5d..a2a465c891 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/cvat_formats.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/cvat_formats.py @@ -1,6 +1,6 @@ from __future__ import annotations -from src.core.types import TaskTypes +from src.core.tasks.types import TaskTypes DM_DATASET_FORMAT_MAPPING = { TaskTypes.image_label_binary: "cvat_images", diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/types.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/types.py new file mode 100644 index 0000000000..6912483e39 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/types.py @@ -0,0 +1,13 @@ +from enum import Enum + +from src.utils.enums import BetterEnumMeta + + +class TaskTypes(str, Enum, metaclass=BetterEnumMeta): + image_label_binary = "image_label_binary" + image_points = "image_points" + image_boxes = "image_boxes" + image_boxes_from_points = "image_boxes_from_points" + image_skeletons_from_boxes = "image_skeletons_from_boxes" + image_polygons = "image_polygons" + audio_transcription = "audio_transcription" diff --git a/packages/examples/cvat/exchange-oracle/src/core/types.py b/packages/examples/cvat/exchange-oracle/src/core/types.py index 53d816b33c..c138465b89 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/types.py +++ b/packages/examples/cvat/exchange-oracle/src/core/types.py @@ -31,16 +31,6 @@ class JobStatuses(str, Enum, metaclass=BetterEnumMeta): completed = "completed" -class TaskTypes(str, Enum, metaclass=BetterEnumMeta): - image_label_binary = "image_label_binary" - image_points = "image_points" - image_boxes = "image_boxes" - image_boxes_from_points = "image_boxes_from_points" - image_skeletons_from_boxes = "image_skeletons_from_boxes" - image_polygons = "image_polygons" - audio_transcription = "audio_transcription" - - class OracleWebhookTypes(str, Enum, metaclass=BetterEnumMeta): exchange_oracle = "exchange_oracle" job_launcher = "job_launcher" diff --git a/packages/examples/cvat/exchange-oracle/src/endpoints/exchange.py b/packages/examples/cvat/exchange-oracle/src/endpoints/exchange.py index e75b14ddaf..af4ef571c7 100644 --- a/packages/examples/cvat/exchange-oracle/src/endpoints/exchange.py +++ b/packages/examples/cvat/exchange-oracle/src/endpoints/exchange.py @@ -14,7 +14,8 @@ import src.services.cvat as cvat_service import src.services.exchange as oracle_service from src.core.config import Config -from src.core.types import ProjectStatuses, TaskTypes +from src.core.tasks import TaskTypes +from src.core.types import ProjectStatuses from src.db import SessionLocal from src.db import engine as db_engine from src.endpoints.authentication import ( diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/completed_escrows.py b/packages/examples/cvat/exchange-oracle/src/handlers/completed_escrows.py index 55821087c2..7af359cfb6 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/completed_escrows.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/completed_escrows.py @@ -19,7 +19,8 @@ ExchangeOracleEvent_JobFinished, ) from src.core.storage import compose_results_bucket_filename -from src.core.types import EscrowValidationStatuses, OracleWebhookTypes, TaskTypes +from src.core.tasks import TaskTypes +from src.core.types import EscrowValidationStatuses, OracleWebhookTypes from src.db import SessionLocal from src.db.utils import ForUpdateParams from src.handlers.job_export import ( diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py index 8cd0b3bc20..a88362a99a 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py @@ -1,7 +1,7 @@ from __future__ import annotations from src.chain.escrow import get_escrow_manifest -from src.core.types import TaskTypes +from src.core.tasks import TaskTypes from src.handlers.job_creation.builders.audio.transcription import AudioTranscriptionTaskBuilder from src.handlers.job_creation.builders.vision.basic import ( PointsTaskBuilder, diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py index fb40f5ab19..4b5642288e 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py @@ -7,7 +7,7 @@ from datumaro.util.image import IMAGE_EXTENSIONS import src.cvat.api_calls as cvat_api -from src.core.types import TaskTypes +from src.core.tasks import TaskTypes from src.services.cloud import CloudProviders if TYPE_CHECKING: diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py index e85ea9b79c..6f132e80c9 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py @@ -15,8 +15,8 @@ from src.core.config import Config from src.core.manifest import TaskManifest from src.core.storage import compose_data_bucket_filename +from src.core.tasks import TaskTypes from src.core.tasks.cvat_formats import DM_DATASET_FORMAT_MAPPING -from src.core.types import TaskTypes from src.models.cvat import Image, Job from src.services.cloud import make_client as make_cloud_client from src.services.cloud.utils import BucketAccessInfo diff --git a/packages/examples/cvat/exchange-oracle/src/models/cvat.py b/packages/examples/cvat/exchange-oracle/src/models/cvat.py index dd0eb2d715..bebe3e571d 100644 --- a/packages/examples/cvat/exchange-oracle/src/models/cvat.py +++ b/packages/examples/cvat/exchange-oracle/src/models/cvat.py @@ -5,6 +5,7 @@ from sqlalchemy.orm import Mapped, relationship from sqlalchemy.sql import func +from src.core.tasks import TaskTypes from src.core.types import ( AssignmentStatuses, CvatWebhookStatuses, @@ -13,7 +14,6 @@ Networks, ProjectStatuses, TaskStatuses, - TaskTypes, ) from src.db import Base, BaseUUID, ChildOf from src.utils.time import utcnow diff --git a/packages/examples/cvat/exchange-oracle/src/schemas/exchange.py b/packages/examples/cvat/exchange-oracle/src/schemas/exchange.py index 73fde0d230..32ed3bd870 100644 --- a/packages/examples/cvat/exchange-oracle/src/schemas/exchange.py +++ b/packages/examples/cvat/exchange-oracle/src/schemas/exchange.py @@ -4,7 +4,8 @@ from pydantic import BaseModel, Field from strenum import StrEnum # added in python 3.11 -from src.core.types import Networks, TaskTypes +from src.core.tasks import TaskTypes +from src.core.types import Networks from src.utils.enums import BetterEnumMeta diff --git a/packages/examples/cvat/exchange-oracle/src/services/cvat.py b/packages/examples/cvat/exchange-oracle/src/services/cvat.py index 083b1e8efc..3c1b3ced80 100644 --- a/packages/examples/cvat/exchange-oracle/src/services/cvat.py +++ b/packages/examples/cvat/exchange-oracle/src/services/cvat.py @@ -15,6 +15,7 @@ from sqlalchemy.sql.functions import coalesce from src.core.config import Config +from src.core.tasks import TaskTypes from src.core.types import ( AssignmentStatuses, CvatWebhookStatuses, @@ -22,7 +23,6 @@ JobStatuses, ProjectStatuses, TaskStatuses, - TaskTypes, ) from src.db import Base, ChildOf from src.db import engine as db_engine diff --git a/packages/examples/cvat/exchange-oracle/src/services/exchange.py b/packages/examples/cvat/exchange-oracle/src/services/exchange.py index 5fdf0c854b..9582b47e07 100644 --- a/packages/examples/cvat/exchange-oracle/src/services/exchange.py +++ b/packages/examples/cvat/exchange-oracle/src/services/exchange.py @@ -4,7 +4,8 @@ import src.cvat.api_calls as cvat_api import src.services.cvat as cvat_service from src.chain.escrow import get_escrow_manifest -from src.core.types import JobStatuses, Networks, ProjectStatuses, TaskTypes +from src.core.tasks import TaskTypes +from src.core.types import JobStatuses, Networks, ProjectStatuses from src.db import SessionLocal from src.db.utils import ForUpdateParams from src.models.cvat import Job diff --git a/packages/examples/cvat/exchange-oracle/src/utils/assignments.py b/packages/examples/cvat/exchange-oracle/src/utils/assignments.py index 51c8fe9c7b..9aa1d8fac5 100644 --- a/packages/examples/cvat/exchange-oracle/src/utils/assignments.py +++ b/packages/examples/cvat/exchange-oracle/src/utils/assignments.py @@ -1,16 +1,10 @@ from urllib.parse import urljoin from src.core.config import Config -from src.core.manifest import TaskManifest, TaskTypes -from src.core.manifest import parse_manifest as _parse_manifest -from src.core.tasks import skeletons_from_boxes +from src.core.tasks import TaskTypes, skeletons_from_boxes from src.models.cvat import Project -def parse_manifest(manifest: dict) -> TaskManifest: - return _parse_manifest(manifest) - - def compose_assignment_url(task_id: int, job_id: int, *, project: Project) -> str: query_params = "" if project.job_type in [ @@ -34,12 +28,3 @@ def get_default_assignment_timeout(task_type: TaskTypes) -> int: timeout_seconds *= skeletons_from_boxes.DEFAULT_ASSIGNMENT_SIZE_MULTIPLIER return timeout_seconds - - -def get_default_assignment_size(manifest: TaskManifest) -> int: - job_size = manifest.annotation.job_size + manifest.validation.val_size - - if job_size == TaskTypes.image_skeletons_from_boxes: - job_size *= skeletons_from_boxes.DEFAULT_ASSIGNMENT_SIZE_MULTIPLIER - - return job_size diff --git a/packages/examples/cvat/exchange-oracle/tests/api/test_exchange_api.py b/packages/examples/cvat/exchange-oracle/tests/api/test_exchange_api.py index 71c812bc52..53a16ded0e 100644 --- a/packages/examples/cvat/exchange-oracle/tests/api/test_exchange_api.py +++ b/packages/examples/cvat/exchange-oracle/tests/api/test_exchange_api.py @@ -15,7 +15,8 @@ from sqlalchemy.orm import Session from src.core.config import Config -from src.core.types import AssignmentStatuses, JobStatuses, ProjectStatuses, TaskTypes +from src.core.tasks import TaskTypes +from src.core.types import AssignmentStatuses, JobStatuses, ProjectStatuses from src.models.cvat import Assignment, Job, Project, Task, User from src.schemas.exchange import AssignmentStatuses as APIAssignmentStatuses from src.schemas.exchange import JobStatuses as APIJobStatuses diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py index 574ae5983c..13410d300c 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py @@ -13,6 +13,7 @@ import pytest from sqlalchemy import select +from src.core.tasks import TaskTypes from src.core.types import ( AssignmentStatuses, EscrowValidationStatuses, @@ -21,7 +22,6 @@ Networks, ProjectStatuses, TaskStatuses, - TaskTypes, ) from src.crons import track_completed_escrows from src.crons.cvat.state_trackers import track_escrow_validations diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_projects.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_projects.py index 9adbf904dd..e325722683 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_projects.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_projects.py @@ -3,7 +3,8 @@ from sqlalchemy.sql import select -from src.core.types import Networks, ProjectStatuses, TaskStatuses, TaskTypes +from src.core.tasks import TaskTypes +from src.core.types import Networks, ProjectStatuses, TaskStatuses from src.crons.cvat.state_trackers import track_completed_projects from src.db import SessionLocal from src.models.cvat import Project, Task diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_tasks.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_tasks.py index 98c77a9f18..682e4b6e48 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_tasks.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_tasks.py @@ -3,7 +3,8 @@ from sqlalchemy.sql import select -from src.core.types import JobStatuses, Networks, ProjectStatuses, TaskStatuses, TaskTypes +from src.core.tasks import TaskTypes +from src.core.types import JobStatuses, Networks, ProjectStatuses, TaskStatuses from src.crons.cvat.state_trackers import track_completed_tasks from src.db import SessionLocal from src.models.cvat import Job, Project, Task diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py index bd999774ad..ba178240ba 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py @@ -7,6 +7,7 @@ from sqlalchemy.sql import select from src.core.storage import compose_data_bucket_prefix, compose_results_bucket_prefix +from src.core.tasks import TaskTypes from src.core.types import ( ExchangeOracleEventTypes, JobLauncherEventTypes, @@ -16,7 +17,6 @@ OracleWebhookTypes, ProjectStatuses, TaskStatuses, - TaskTypes, ) from src.crons.webhooks.job_launcher import ( process_incoming_job_launcher_webhooks, diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_recording_oracle_webhooks.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_recording_oracle_webhooks.py index 96c6f2931c..cf4571a383 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_recording_oracle_webhooks.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_recording_oracle_webhooks.py @@ -5,6 +5,7 @@ from sqlalchemy.sql import select +from src.core.tasks import TaskTypes from src.core.types import ( AssignmentStatuses, EscrowValidationStatuses, @@ -16,7 +17,6 @@ ProjectStatuses, RecordingOracleEventTypes, TaskStatuses, - TaskTypes, ) from src.crons.webhooks.recording_oracle import ( process_incoming_recording_oracle_webhook_job_completed, diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_reputation_oracle_webhooks.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_reputation_oracle_webhooks.py index 380ed680b6..a1eff0585a 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_reputation_oracle_webhooks.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_reputation_oracle_webhooks.py @@ -5,6 +5,7 @@ from sqlalchemy import select from src.core.storage import compose_data_bucket_prefix, compose_results_bucket_prefix +from src.core.tasks import TaskTypes from src.core.types import ( ExchangeOracleEventTypes, JobStatuses, @@ -14,7 +15,6 @@ ProjectStatuses, ReputationOracleEventTypes, TaskStatuses, - TaskTypes, ) from src.crons.webhooks.reputation_oracle import process_incoming_reputation_oracle_webhooks from src.cvat import api_calls diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/services/test_cvat.py b/packages/examples/cvat/exchange-oracle/tests/integration/services/test_cvat.py index 65b07db6ae..5f43f03d69 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/services/test_cvat.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/services/test_cvat.py @@ -6,13 +6,13 @@ from sqlalchemy.orm.exc import UnmappedInstanceError import src.services.cvat as cvat_service +from src.core.tasks import TaskTypes from src.core.types import ( AssignmentStatuses, JobStatuses, Networks, ProjectStatuses, TaskStatuses, - TaskTypes, ) from src.db import SessionLocal from src.models.cvat import ( diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/services/test_exchange.py b/packages/examples/cvat/exchange-oracle/tests/integration/services/test_exchange.py index e2a52815ce..58d89d3ca3 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/services/test_exchange.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/services/test_exchange.py @@ -8,7 +8,8 @@ from fastapi import HTTPException from pydantic import ValidationError -from src.core.types import AssignmentStatuses, JobStatuses, Networks, TaskTypes +from src.core.tasks import TaskTypes +from src.core.types import AssignmentStatuses, JobStatuses, Networks from src.db import SessionLocal from src.endpoints.serializers import serialize_job from src.models.cvat import Assignment, User diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/db_helper.py b/packages/examples/cvat/exchange-oracle/tests/utils/db_helper.py index 3fd5e6afe1..57bd5b58b8 100644 --- a/packages/examples/cvat/exchange-oracle/tests/utils/db_helper.py +++ b/packages/examples/cvat/exchange-oracle/tests/utils/db_helper.py @@ -2,7 +2,8 @@ from sqlalchemy.orm import Session -from src.core.types import JobStatuses, Networks, ProjectStatuses, TaskStatuses, TaskTypes +from src.core.tasks import TaskTypes +from src.core.types import JobStatuses, Networks, ProjectStatuses, TaskStatuses from src.models.cvat import Job, Project, Task diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/setup_cvat.py b/packages/examples/cvat/exchange-oracle/tests/utils/setup_cvat.py index 77f657f98b..ace837b61f 100644 --- a/packages/examples/cvat/exchange-oracle/tests/utils/setup_cvat.py +++ b/packages/examples/cvat/exchange-oracle/tests/utils/setup_cvat.py @@ -10,7 +10,8 @@ from sqlalchemy.sql import select from src.core.config import CvatConfig -from src.core.types import AssignmentStatuses, JobStatuses, ProjectStatuses, TaskStatuses, TaskTypes +from src.core.tasks import TaskTypes +from src.core.types import AssignmentStatuses, JobStatuses, ProjectStatuses, TaskStatuses from src.db import SessionLocal from src.models.cvat import Assignment, Job, Project, Task, User From e36e0b99d86b27eeb45de849a590ae1cc8a64ab7 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Thu, 2 Jul 2026 16:34:53 +0300 Subject: [PATCH 06/53] Make some task creation symbols public --- .../exchange-oracle/src/entrypoints/debug.py | 8 +- .../builders/audio/transcription.py | 4 +- .../job_creation/builders/vision/base.py | 6 +- .../job_creation/builders/vision/basic.py | 22 ++-- .../builders/vision/boxes_from_points.py | 108 +++++++++--------- .../builders/vision/skeletons_from_boxes.py | 100 ++++++++-------- .../src/handlers/job_creation/utils.py | 16 +-- .../src/services/cloud/types.py | 8 +- 8 files changed, 136 insertions(+), 136 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py b/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py index e5709d2a5b..d902e95e1a 100644 --- a/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py +++ b/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py @@ -27,7 +27,7 @@ @contextmanager def _mock_cvat_cloud_storage_params(logger: Logger) -> Generator[None, None, None]: from src.handlers.job_creation.utils import ( - _make_cvat_cloud_storage_params as original_make_cvat_cloud_storage_params, + make_cvat_cloud_storage_params as original_make_cvat_cloud_storage_params, ) def patched_make_cvat_cloud_storage_params(bucket_info: BucketAccessInfo) -> dict: @@ -52,9 +52,9 @@ def patched_make_cvat_cloud_storage_params(bucket_info: BucketAccessInfo) -> dic # The helper is looked up in each builder module that imports it, so patch all of them. patch_targets = [ - "src.handlers.job_creation.builders.vision.basic._make_cvat_cloud_storage_params", - "src.handlers.job_creation.builders.vision.boxes_from_points._make_cvat_cloud_storage_params", - "src.handlers.job_creation.builders.vision.skeletons_from_boxes._make_cvat_cloud_storage_params", + "src.handlers.job_creation.builders.vision.basic.make_cvat_cloud_storage_params", + "src.handlers.job_creation.builders.vision.boxes_from_points.make_cvat_cloud_storage_params", + "src.handlers.job_creation.builders.vision.skeletons_from_boxes.make_cvat_cloud_storage_params", ] with ExitStack() as stack: for target in patch_targets: diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py index d3e9fe4940..60d415cddb 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py @@ -1,9 +1,9 @@ from __future__ import annotations -from src.handlers.job_creation.builders.vision.base import _TaskBuilderBase +from src.handlers.job_creation.builders.vision.base import TaskBuilderBase -class AudioTranscriptionTaskBuilder(_TaskBuilderBase): +class AudioTranscriptionTaskBuilder(TaskBuilderBase): """ Handles task creation for the AUDIO_TRANSCRIPTION task type. diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/base.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/base.py index fd5c0dd97c..b6ea00c4b5 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/base.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/base.py @@ -24,11 +24,11 @@ import datumaro as dm - from src.core.manifest import TaskManifest + from src.core.manifest import ManifestBase -class _TaskBuilderBase(metaclass=ABCMeta): - def __init__(self, manifest: TaskManifest, escrow_address: str, chain_id: int) -> None: +class TaskBuilderBase(metaclass=ABCMeta): + def __init__(self, manifest: ManifestBase, escrow_address: str, chain_id: int) -> None: self.exit_stack = ExitStack() self.manifest = manifest self.escrow_address = escrow_address diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py index 088c1520f2..d3701fdd1b 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py @@ -22,24 +22,24 @@ from src.utils.logging import format_sequence if TYPE_CHECKING: - from src.core.manifest import TaskManifest + from src.core.manifest.v1 import JobManifest from src.core.tasks.cvat_formats import DM_GT_DATASET_FORMAT_MAPPING -from src.handlers.job_creation.builders.vision.base import _TaskBuilderBase +from src.handlers.job_creation.builders.vision.base import TaskBuilderBase from src.handlers.job_creation.exceptions import ( DatasetValidationError, TooFewSamples, ) from src.handlers.job_creation.utils import ( - _make_cvat_cloud_storage_params, - _MaybeUnset, - _unset, + MaybeUnset, filter_image_files, + make_cvat_cloud_storage_params, make_label_configuration, + unset, ) -class SimpleTaskBuilder(_TaskBuilderBase): +class SimpleTaskBuilder(TaskBuilderBase): """ Handles task creation for the IMAGE_BOXES task type """ @@ -88,7 +88,7 @@ def _parse_gt_dataset( return gt_dataset def _get_gt_filenames( - self, gt_dataset: dm.Dataset, data_filenames: list[str], *, manifest: TaskManifest + self, gt_dataset: dm.Dataset, data_filenames: list[str], *, manifest: JobManifest ) -> list[str]: gt_filenames = set(s.id + s.media.ext for s in gt_dataset) known_data_filenames = set(data_filenames) @@ -138,7 +138,7 @@ def build(self): self._upload_task_meta(gt_dataset) # Register cloud storage on CVAT to pass user dataset - cloud_storage = cvat_api.create_cloudstorage(**_make_cvat_cloud_storage_params(data_bucket)) + cloud_storage = cvat_api.create_cloudstorage(**make_cvat_cloud_storage_params(data_bucket)) # Create a project cvat_project = cvat_api.create_project( @@ -208,10 +208,10 @@ def build(self): class PointsTaskBuilder(SimpleTaskBuilder): - def __init__(self, manifest: TaskManifest, escrow_address: str, chain_id: int) -> None: + def __init__(self, manifest: JobManifest, escrow_address: str, chain_id: int) -> None: super().__init__(manifest=manifest, escrow_address=escrow_address, chain_id=chain_id) - self._mean_gt_bbox_radius_estimation: _MaybeUnset[float] = _unset + self._mean_gt_bbox_radius_estimation: MaybeUnset[float] = unset def _parse_gt_dataset(self, gt_file_data, *, add_prefix=None): gt_dataset = super()._parse_gt_dataset(gt_file_data, add_prefix=add_prefix) @@ -279,7 +279,7 @@ def _setup_gt_job_for_cvat_task( ) def _setup_quality_settings(self, task_id: int, **overrides) -> None: - assert self._mean_gt_bbox_radius_estimation is not _unset + assert self._mean_gt_bbox_radius_estimation is not unset values = { # We have at most 1 annotation per frame, so accuracy on each frame is either 0 or 1, diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py index e7bcafa60c..ad1b1a5057 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py @@ -34,10 +34,10 @@ if TYPE_CHECKING: from collections.abc import Sequence - from src.core.manifest import TaskManifest + from src.core.manifest.v1 import JobManifest from src.core.tasks.cvat_formats import DM_GT_DATASET_FORMAT_MAPPING -from src.handlers.job_creation.builders.vision.base import _TaskBuilderBase +from src.handlers.job_creation.builders.vision.base import TaskBuilderBase from src.handlers.job_creation.exceptions import ( DatasetValidationError, InvalidCategories, @@ -47,47 +47,47 @@ TooFewSamples, ) from src.handlers.job_creation.utils import ( - _ExcludedAnnotationsInfo, - _make_cvat_cloud_storage_params, - _MaybeUnset, - _unset, + ExcludedAnnotationsInfo, + MaybeUnset, filter_image_files, + make_cvat_cloud_storage_params, make_label_configuration, strip_bucket_prefix, + unset, ) -class BoxesFromPointsTaskBuilder(_TaskBuilderBase): - def __init__(self, manifest: TaskManifest, escrow_address: str, chain_id: int) -> None: +class BoxesFromPointsTaskBuilder(TaskBuilderBase): + def __init__(self, manifest: JobManifest, escrow_address: str, chain_id: int) -> None: super().__init__(manifest=manifest, escrow_address=escrow_address, chain_id=chain_id) - self._input_gt_data: _MaybeUnset[bytes] = _unset - self._input_points_data: _MaybeUnset[bytes] = _unset + self._input_gt_data: MaybeUnset[bytes] = unset + self._input_points_data: MaybeUnset[bytes] = unset - self._data_filenames: _MaybeUnset[Sequence[str]] = _unset - self._input_gt_dataset: _MaybeUnset[dm.Dataset] = _unset - self._gt_dataset: _MaybeUnset[dm.Dataset] = _unset - self._gt_roi_dataset: _MaybeUnset[dm.Dataset] = _unset - self._points_dataset: _MaybeUnset[dm.Dataset] = _unset + self._data_filenames: MaybeUnset[Sequence[str]] = unset + self._input_gt_dataset: MaybeUnset[dm.Dataset] = unset + self._gt_dataset: MaybeUnset[dm.Dataset] = unset + self._gt_roi_dataset: MaybeUnset[dm.Dataset] = unset + self._points_dataset: MaybeUnset[dm.Dataset] = unset - self._bbox_point_mapping: _MaybeUnset[boxes_from_points_task.BboxPointMapping] = _unset + self._bbox_point_mapping: MaybeUnset[boxes_from_points_task.BboxPointMapping] = unset "bbox_id -> point_id" - self._roi_size_estimations: _MaybeUnset[dict[int, tuple[float, float]]] = _unset + self._roi_size_estimations: MaybeUnset[dict[int, tuple[float, float]]] = unset "label_id -> (rel. w, rel. h)" - self._rois: _MaybeUnset[boxes_from_points_task.RoiInfos] = _unset - self._roi_filenames: _MaybeUnset[boxes_from_points_task.RoiFilenames] = _unset - self._roi_filenames_to_be_annotated: _MaybeUnset[Sequence[str]] = _unset - self._gt_roi_filenames: _MaybeUnset[Sequence[str]] = _unset + self._rois: MaybeUnset[boxes_from_points_task.RoiInfos] = unset + self._roi_filenames: MaybeUnset[boxes_from_points_task.RoiFilenames] = unset + self._roi_filenames_to_be_annotated: MaybeUnset[Sequence[str]] = unset + self._gt_roi_filenames: MaybeUnset[Sequence[str]] = unset - self._job_layout: _MaybeUnset[Sequence[Sequence[str]]] = _unset + self._job_layout: MaybeUnset[Sequence[Sequence[str]]] = unset "File lists per CVAT job" - self._label_configuration: _MaybeUnset[Sequence[dict]] = _unset + self._label_configuration: MaybeUnset[Sequence[dict]] = unset - self._excluded_points_info: _MaybeUnset[_ExcludedAnnotationsInfo] = _unset - self._excluded_gt_info: _MaybeUnset[_ExcludedAnnotationsInfo] = _unset + self._excluded_points_info: MaybeUnset[ExcludedAnnotationsInfo] = unset + self._excluded_gt_info: MaybeUnset[ExcludedAnnotationsInfo] = unset # Configuration / constants # TODO: consider WebP if produced files are too big @@ -164,7 +164,7 @@ def _parse_dataset(self, annotation_file_data: bytes, dataset_format: str) -> dm return dm.Dataset.import_from(annotation_filename, format=dataset_format) def _parse_gt(self): - assert self._input_gt_data is not _unset + assert self._input_gt_data is not unset self._input_gt_dataset = self._parse_dataset( self._input_gt_data, @@ -172,7 +172,7 @@ def _parse_gt(self): ) def _parse_points(self): - assert self._input_points_data is not _unset + assert self._input_points_data is not unset self._points_dataset = self._parse_dataset( self._input_points_data, dataset_format=self.points_format @@ -221,7 +221,7 @@ def _validate_gt_filenames(self): def _validate_gt_annotations(self): label_cat: dm.LabelCategories = self._input_gt_dataset.categories()[dm.AnnotationType.label] - excluded_gt_info = _ExcludedAnnotationsInfo() + excluded_gt_info = ExcludedAnnotationsInfo() excluded_samples = set() visited_ids = set() for gt_sample in self._input_gt_dataset: @@ -289,8 +289,8 @@ def _validate_gt_annotations(self): self._excluded_gt_info = excluded_gt_info def _validate_gt(self): - assert self._data_filenames is not _unset - assert self._input_gt_dataset is not _unset + assert self._data_filenames is not unset + assert self._input_gt_dataset is not unset self._validate_gt_filenames() self._validate_gt_labels() @@ -365,7 +365,7 @@ def _validate_skeleton(skeleton: dm.Skeleton, *, sample_bbox: dm.Bbox): label_cat: dm.LabelCategories = self._points_dataset.categories()[dm.AnnotationType.label] - excluded_points_info = _ExcludedAnnotationsInfo() + excluded_points_info = ExcludedAnnotationsInfo() excluded_samples = set() visited_ids = set() for sample in self._points_dataset: @@ -435,8 +435,8 @@ def _validate_skeleton(skeleton: dm.Skeleton, *, sample_bbox: dm.Bbox): self._excluded_points_info = excluded_points_info def _validate_points(self): - assert self._data_filenames is not _unset - assert self._points_dataset is not _unset + assert self._data_filenames is not unset + assert self._points_dataset is not unset self._validate_points_categories() self._validate_points_filenames() @@ -559,9 +559,9 @@ def _find_good_gt_boxes( return matched_boxes - assert self._data_filenames is not _unset - assert self._points_dataset is not _unset - assert self._input_gt_dataset is not _unset + assert self._data_filenames is not unset + assert self._points_dataset is not unset + assert self._input_gt_dataset is not unset assert [ label.name for label in self._input_gt_dataset.categories()[dm.AnnotationType.label] ] == [label.name for label in self.manifest.annotation.labels] @@ -582,7 +582,7 @@ def _find_good_gt_boxes( categories=self._input_gt_dataset.categories(), media_type=dm.Image ) - excluded_points_info = _ExcludedAnnotationsInfo() # local for the function + excluded_points_info = ExcludedAnnotationsInfo() # local for the function excluded_gt_info = self._excluded_gt_info gt_count_per_class = {} bbox_point_mapping = {} # bbox id -> point id @@ -657,7 +657,7 @@ def _find_good_gt_boxes( self._bbox_point_mapping = bbox_point_mapping def _estimate_roi_sizes(self): - assert self._gt_dataset is not _unset + assert self._gt_dataset is not unset assert [label.name for label in self._gt_dataset.categories()[dm.AnnotationType.label]] == [ label.name for label in self.manifest.annotation.labels ] @@ -719,9 +719,9 @@ def _estimate_roi_sizes(self): self._roi_size_estimations = roi_size_estimations_per_label def _prepare_roi_info(self): - assert self._gt_dataset is not _unset - assert self._roi_size_estimations is not _unset - assert self._points_dataset is not _unset + assert self._gt_dataset is not unset + assert self._roi_size_estimations is not unset + assert self._points_dataset is not unset rois: list[boxes_from_points_task.RoiInfo] = [] for sample in self._points_dataset: @@ -773,7 +773,7 @@ def _mangle_filenames(self): Mangle filenames in the dataset to make them less recognizable by annotators and hide private dataset info """ - assert self._rois is not _unset + assert self._rois is not unset # TODO: maybe add different names for the same GT images in # different jobs to make them even less recognizable @@ -782,9 +782,9 @@ def _mangle_filenames(self): } def _prepare_job_layout(self): - assert self._rois is not _unset - assert self._bbox_point_mapping is not _unset - assert self._input_gt_dataset is not _unset + assert self._rois is not unset + assert self._bbox_point_mapping is not unset + assert self._input_gt_dataset is not unset # This list can be different from what is selected for validation input_gt_filenames = set(sample.media.path for sample in self._input_gt_dataset) @@ -898,10 +898,10 @@ def _draw_roi_point( ) def _extract_and_upload_rois(self): - assert self._points_dataset is not _unset - assert self._rois is not _unset - assert self._data_filenames is not _unset - assert self._roi_filenames is not _unset + assert self._points_dataset is not unset + assert self._rois is not unset + assert self._data_filenames is not unset + assert self._roi_filenames is not unset src_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) src_prefix = src_bucket.path @@ -1019,16 +1019,16 @@ def _prepare_gt_roi_dataset(self): assert len(self._gt_roi_dataset) == len(self._gt_roi_filenames) def _create_on_cvat(self): - assert self._roi_filenames_to_be_annotated is not _unset - assert self._gt_roi_filenames is not _unset - assert self._label_configuration is not _unset - assert self._gt_roi_dataset is not _unset + assert self._roi_filenames_to_be_annotated is not unset + assert self._gt_roi_filenames is not unset + assert self._label_configuration is not unset + assert self._gt_roi_dataset is not unset oracle_bucket = self.oracle_data_bucket # Register cloud storage on CVAT to pass user dataset cvat_cloud_storage = cvat_api.create_cloudstorage( - **_make_cvat_cloud_storage_params(oracle_bucket) + **make_cvat_cloud_storage_params(oracle_bucket) ) # Create a project diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py index 042429442b..bf3de7fb70 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py @@ -36,10 +36,10 @@ from collections.abc import Sequence from pathlib import Path - from src.core.manifest import TaskManifest + from src.core.manifest.v1 import JobManifest from src.core.tasks.cvat_formats import DM_GT_DATASET_FORMAT_MAPPING -from src.handlers.job_creation.builders.vision.base import _TaskBuilderBase +from src.handlers.job_creation.builders.vision.base import TaskBuilderBase from src.handlers.job_creation.exceptions import ( DatasetValidationError, InvalidCoordinates, @@ -48,50 +48,50 @@ TooFewSamples, ) from src.handlers.job_creation.utils import ( - _ExcludedAnnotationsInfo, - _make_cvat_cloud_storage_params, - _MaybeUnset, - _unset, + ExcludedAnnotationsInfo, + MaybeUnset, filter_image_files, + make_cvat_cloud_storage_params, strip_bucket_prefix, + unset, ) -class SkeletonsFromBoxesTaskBuilder(_TaskBuilderBase): +class SkeletonsFromBoxesTaskBuilder(TaskBuilderBase): @dataclass class _TaskParams: label_id: int roi_ids: list[int] roi_gt_ids: list[int] - def __init__(self, manifest: TaskManifest, escrow_address: str, chain_id: int) -> None: + def __init__(self, manifest: JobManifest, escrow_address: str, chain_id: int) -> None: super().__init__(manifest=manifest, escrow_address=escrow_address, chain_id=chain_id) - self._input_gt_data: _MaybeUnset[bytes] = _unset - self._input_boxes_data: _MaybeUnset[bytes] = _unset + self._input_gt_data: MaybeUnset[bytes] = unset + self._input_boxes_data: MaybeUnset[bytes] = unset - self._data_filenames: _MaybeUnset[Sequence[str]] = _unset - self._input_gt_dataset: _MaybeUnset[dm.Dataset] = _unset - self._gt_dataset: _MaybeUnset[dm.Dataset] = _unset - self._boxes_dataset: _MaybeUnset[dm.Dataset] = _unset + self._data_filenames: MaybeUnset[Sequence[str]] = unset + self._input_gt_dataset: MaybeUnset[dm.Dataset] = unset + self._gt_dataset: MaybeUnset[dm.Dataset] = unset + self._boxes_dataset: MaybeUnset[dm.Dataset] = unset - self._skeleton_bbox_mapping: _MaybeUnset[skeletons_from_boxes_task.SkeletonBboxMapping] = ( - _unset + self._skeleton_bbox_mapping: MaybeUnset[skeletons_from_boxes_task.SkeletonBboxMapping] = ( + unset ) - self._roi_infos: _MaybeUnset[skeletons_from_boxes_task.RoiInfos] = _unset - self._roi_info_by_id: _MaybeUnset[dict[int, skeletons_from_boxes_task.RoiInfo]] = _unset + self._roi_infos: MaybeUnset[skeletons_from_boxes_task.RoiInfos] = unset + self._roi_info_by_id: MaybeUnset[dict[int, skeletons_from_boxes_task.RoiInfo]] = unset - self._gt_points_per_label: _MaybeUnset[ + self._gt_points_per_label: MaybeUnset[ dict[tuple[int, str], Sequence[tuple[int, dm.Points]]] - ] = _unset + ] = unset "(skeleton_label_id, point_label_name) to [(skeleton_id, point), ...]" - self._roi_filenames: _MaybeUnset[dict[int, str]] = _unset + self._roi_filenames: MaybeUnset[dict[int, str]] = unset - self._task_params: _MaybeUnset[list[self._TaskParams]] = _unset + self._task_params: MaybeUnset[list[self._TaskParams]] = unset - self._excluded_gt_info: _MaybeUnset[_ExcludedAnnotationsInfo] = _unset - self._excluded_boxes_info: _MaybeUnset[_ExcludedAnnotationsInfo] = _unset + self._excluded_gt_info: MaybeUnset[ExcludedAnnotationsInfo] = unset + self._excluded_boxes_info: MaybeUnset[ExcludedAnnotationsInfo] = unset # Configuration / constants self.job_size_mult = skeletons_from_boxes_task.DEFAULT_ASSIGNMENT_SIZE_MULTIPLIER @@ -170,7 +170,7 @@ def _parse_dataset(self, annotation_file_data: bytes, dataset_format: str) -> dm return dm.Dataset.import_from(annotation_filename, format=dataset_format) def _parse_gt(self): - assert self._input_gt_data is not _unset + assert self._input_gt_data is not unset self._input_gt_dataset = self._parse_dataset( self._input_gt_data, @@ -178,7 +178,7 @@ def _parse_gt(self): ) def _parse_boxes(self): - assert self._input_boxes_data is not _unset + assert self._input_boxes_data is not unset self._boxes_dataset = self._parse_dataset( self._input_boxes_data, dataset_format=self.boxes_format @@ -268,7 +268,7 @@ def _validate_skeleton(skeleton: dm.Skeleton, *, sample_bbox: dm.Bbox): label_cat: dm.LabelCategories = self._input_gt_dataset.categories()[dm.AnnotationType.label] - excluded_gt_info = _ExcludedAnnotationsInfo() + excluded_gt_info = ExcludedAnnotationsInfo() excluded_samples = set() visited_ids = set() for gt_sample in self._input_gt_dataset: @@ -333,8 +333,8 @@ def _validate_skeleton(skeleton: dm.Skeleton, *, sample_bbox: dm.Bbox): self._excluded_gt_info = excluded_gt_info def _validate_gt(self): - assert self._data_filenames is not _unset - assert self._input_gt_dataset is not _unset + assert self._data_filenames is not unset + assert self._input_gt_dataset is not unset self._validate_gt_filenames() self._validate_gt_labels() @@ -379,7 +379,7 @@ def _validate_boxes_annotations(self): # noqa: PLR0912 self._boxes_dataset.transform(InstanceSegmentsToBbox) self._boxes_dataset.init_cache() - excluded_boxes_info = _ExcludedAnnotationsInfo() + excluded_boxes_info = ExcludedAnnotationsInfo() label_cat: dm.LabelCategories = self._boxes_dataset.categories()[dm.AnnotationType.label] @@ -519,8 +519,8 @@ def _validate_boxes_annotations(self): # noqa: PLR0912 self._excluded_boxes_info = excluded_boxes_info def _validate_boxes(self): - assert self._data_filenames is not _unset - assert self._boxes_dataset is not _unset + assert self._data_filenames is not unset + assert self._boxes_dataset is not unset self._validate_boxes_categories() self._validate_boxes_filenames() @@ -698,9 +698,9 @@ def _find_good_gt_skeletons( return matched_skeletons - assert self._data_filenames is not _unset - assert self._boxes_dataset is not _unset - assert self._input_gt_dataset is not _unset + assert self._data_filenames is not unset + assert self._boxes_dataset is not unset + assert self._input_gt_dataset is not unset assert [ label.name for label in self._input_gt_dataset.categories()[dm.AnnotationType.label] @@ -723,7 +723,7 @@ def _find_good_gt_skeletons( categories=self._input_gt_dataset.categories(), media_type=dm.Image ) - excluded_boxes_info = _ExcludedAnnotationsInfo() # local for the function + excluded_boxes_info = ExcludedAnnotationsInfo() # local for the function excluded_gt_info = self._excluded_gt_info gt_count_per_class = {} skeleton_bbox_mapping = {} # skeleton id -> bbox id @@ -808,8 +808,8 @@ def _find_good_gt_skeletons( self._skeleton_bbox_mapping = skeleton_bbox_mapping def _prepare_roi_infos(self): - assert self._gt_dataset is not _unset - assert self._boxes_dataset is not _unset + assert self._gt_dataset is not unset + assert self._boxes_dataset is not unset rois: list[skeletons_from_boxes_task.RoiInfo] = [] for sample in self._boxes_dataset: @@ -857,7 +857,7 @@ def _mangle_filenames(self): Mangle filenames in the dataset to make them less recognizable by annotators and hide private dataset info """ - assert self._roi_infos is not _unset + assert self._roi_infos is not unset # TODO: maybe add different names for the same GT images in # different jobs to make them even less recognizable @@ -878,9 +878,9 @@ def _job_val_frames_count(self) -> int: return super()._job_val_frames_count * self.job_size_mult def _prepare_task_params(self): - assert self._roi_infos is not _unset - assert self._skeleton_bbox_mapping is not _unset - assert self._input_gt_dataset is not _unset + assert self._roi_infos is not unset + assert self._skeleton_bbox_mapping is not unset + assert self._input_gt_dataset is not unset # This list can be different from what is selected for validation input_gt_filenames = set(sample.media.path for sample in self._input_gt_dataset) @@ -927,7 +927,7 @@ def _prepare_job_labels(self): self._point_labels[(skeleton_label.name, point_name)] = point_name def _prepare_gt_points_mapping(self): - assert self._gt_dataset is not _unset + assert self._gt_dataset is not unset self._gt_points_per_label = {} @@ -1060,8 +1060,8 @@ def _draw_roi_point(self, roi_image: np.ndarray, point: tuple[float, float]) -> ) def _extract_and_upload_rois(self): - assert self._roi_filenames is not _unset - assert self._roi_infos is not _unset + assert self._roi_filenames is not unset + assert self._roi_infos is not unset src_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) src_prefix = src_bucket.path @@ -1158,7 +1158,7 @@ def _prepare_gt_dataset_for_skeleton_point( point_label_name: str, skeleton_label_id: int, ) -> dm.Dataset: - assert self._gt_points_per_label is not _unset + assert self._gt_points_per_label is not unset # Change annotations to Points for validation in CVAT, # as annotators will use this annotation type @@ -1222,9 +1222,9 @@ def _setup_quality_settings(self, task_id: int, **overrides) -> None: super()._setup_quality_settings(task_id, **values) def _create_on_cvat(self): - assert self._task_params is not _unset - assert self._point_labels is not _unset - assert self._gt_points_per_label is not _unset + assert self._task_params is not unset + assert self._point_labels is not unset + assert self._gt_points_per_label is not unset def _task_params_label_key(ts): return ts.label_id @@ -1251,7 +1251,7 @@ def _task_params_label_key(ts): # Register cloud storage on CVAT to pass user dataset cvat_cloud_storage = cvat_api.create_cloudstorage( - **_make_cvat_cloud_storage_params(oracle_bucket) + **make_cvat_cloud_storage_params(oracle_bucket) ) segment_size = self._task_segment_size diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py index 4b5642288e..2d53143ea2 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py @@ -32,21 +32,21 @@ def __bool__(self) -> bool: return False -_unset = _Undefined() +unset = _Undefined() -_MaybeUnset = T | _Undefined +MaybeUnset = T | _Undefined @dataclass -class _ExcludedAnnotationInfo: +class ExcludedAnnotationInfo: message: str sample_id: str = field(kw_only=True) sample_subset: str = field(kw_only=True) @dataclass -class _ExcludedAnnotationsInfo: - messages: list[_ExcludedAnnotationInfo] = field(default_factory=list) +class ExcludedAnnotationsInfo: + messages: list[ExcludedAnnotationInfo] = field(default_factory=list) excluded_count: int = 0 "The number of excluded annotations. Can be different from len(messages)" @@ -55,7 +55,7 @@ class _ExcludedAnnotationsInfo: def add_message(self, message: str, *, sample_id: str, sample_subset: str): self.messages.append( - _ExcludedAnnotationInfo( + ExcludedAnnotationInfo( message=message, sample_id=sample_id, sample_subset=sample_subset ) ) @@ -74,7 +74,7 @@ def strip_bucket_prefix(data_filenames: list[str], prefix: str) -> list[str]: return [os.path.relpath(fn, prefix) for fn in data_filenames] -def make_label_configuration(manifest: TaskManifest) -> list[dict]: +def make_label_configuration(manifest: JobManifest) -> list[dict]: return [ { "name": label.name, @@ -84,7 +84,7 @@ def make_label_configuration(manifest: TaskManifest) -> list[dict]: ] -def _make_cvat_cloud_storage_params(bucket_info: BucketAccessInfo) -> dict: +def make_cvat_cloud_storage_params(bucket_info: BucketAccessInfo) -> dict: CLOUD_PROVIDER_TO_CVAT_CLOUD_PROVIDER = { CloudProviders.aws: "AWS_S3_BUCKET", CloudProviders.gcs: "GOOGLE_CLOUD_STORAGE", diff --git a/packages/examples/cvat/exchange-oracle/src/services/cloud/types.py b/packages/examples/cvat/exchange-oracle/src/services/cloud/types.py index 41ca984fa0..d6c9c2994d 100644 --- a/packages/examples/cvat/exchange-oracle/src/services/cloud/types.py +++ b/packages/examples/cvat/exchange-oracle/src/services/cloud/types.py @@ -10,8 +10,8 @@ import pydantic from httpx import URL -from src.core import manifest from src.core.config import Config, StorageConfig +from src.core.manifest import shared from src.services.cloud.gcs import DEFAULT_GCS_HOST from src.services.cloud.s3 import DEFAULT_S3_HOST from src.utils.enums import BetterEnumMeta @@ -174,14 +174,14 @@ def from_storage_config(cls, config: type[StorageConfig]) -> BucketAccessInfo: ) @classmethod - def from_bucket_url(cls, bucket_url: manifest.BucketUrl) -> BucketAccessInfo: + def from_bucket_url(cls, bucket_url: shared.BucketUrl) -> BucketAccessInfo: return cls._from_dict(bucket_url.model_dump()) @classmethod def parse_obj( - cls, data: str | type[StorageConfig] | manifest.BucketUrl | pydantic.AnyUrl + cls, data: str | type[StorageConfig] | shared.BucketUrl | pydantic.AnyUrl ) -> BucketAccessInfo: - if isinstance(data, manifest.BucketUrlBase): + if isinstance(data, shared.BucketUrlBase): return cls.from_bucket_url(data) elif isinstance(data, str): return cls.from_url(data) From 7fb34a72b91bc60ecd9bc78072a15f70c69f8ea6 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Thu, 2 Jul 2026 16:35:32 +0300 Subject: [PATCH 07/53] Update manifest imports for compatibility --- .../cvat/exchange-oracle/src/handlers/job_creation/utils.py | 2 +- .../cvat/exchange-oracle/src/handlers/job_export.py | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py index 2d53143ea2..fa3ccd6564 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py @@ -11,7 +11,7 @@ from src.services.cloud import CloudProviders if TYPE_CHECKING: - from src.core.manifest import TaskManifest + from src.core.manifest.v1 import JobManifest from src.services.cloud.utils import BucketAccessInfo LABEL_TYPE_MAPPING = { diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py index 6f132e80c9..9abeae929a 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py @@ -13,7 +13,7 @@ import src.utils.annotations as annotation_utils from src.core.annotation_meta import ANNOTATION_RESULTS_METAFILE_NAME, AnnotationMeta, JobMeta from src.core.config import Config -from src.core.manifest import TaskManifest +from src.core.manifest.v1 import JobManifest from src.core.storage import compose_data_bucket_filename from src.core.tasks import TaskTypes from src.core.tasks.cvat_formats import DM_DATASET_FORMAT_MAPPING @@ -75,7 +75,7 @@ def __init__( annotations: Sequence[FileDescriptor], merged_annotation: FileDescriptor, *, - manifest: TaskManifest, + manifest: JobManifest, project_images: list[Image], ) -> None: self.escrow_address = escrow_address @@ -594,7 +594,7 @@ def postprocess_annotations( annotations: Sequence[FileDescriptor], merged_annotation: FileDescriptor, *, - manifest: TaskManifest, + manifest: JobManifest, project_images: list[Image], ) -> None: """ From f2c2bebacf5054fa672be357463a19b3d60fffac Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Thu, 2 Jul 2026 16:56:17 +0300 Subject: [PATCH 08/53] Refactor simple task creation --- .../src/handlers/completed_escrows.py | 2 +- .../job_creation/builders/vision/basic.py | 58 ++++++++++++------- .../builders/vision/boxes_from_points.py | 4 +- .../src/handlers/job_creation/factory.py | 19 +++--- .../src/handlers/job_creation/utils.py | 2 +- .../exchange-oracle/src/services/exchange.py | 3 +- 6 files changed, 53 insertions(+), 35 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/completed_escrows.py b/packages/examples/cvat/exchange-oracle/src/handlers/completed_escrows.py index 7af359cfb6..663ecb2c4f 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/completed_escrows.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/completed_escrows.py @@ -14,6 +14,7 @@ from src.chain.escrow import get_escrow_manifest, validate_escrow from src.core.annotation_meta import ANNOTATION_RESULTS_METAFILE_NAME, RESULTING_ANNOTATIONS_FILE from src.core.config import CronConfig, StorageConfig +from src.core.manifest import parse_manifest from src.core.oracle_events import ( ExchangeOracleEvent_EscrowRecorded, ExchangeOracleEvent_JobFinished, @@ -31,7 +32,6 @@ ) from src.models.cvat import Job, Project from src.services.cloud.types import BucketAccessInfo -from src.utils.assignments import parse_manifest def _download_with_retries( diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py index d3701fdd1b..2ff83b47da 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py @@ -2,6 +2,7 @@ import math import os +from abc import abstractmethod from tempfile import TemporaryDirectory from typing import TYPE_CHECKING @@ -34,34 +35,18 @@ MaybeUnset, filter_image_files, make_cvat_cloud_storage_params, - make_label_configuration, + make_cvat_label_configuration, unset, ) class SimpleTaskBuilder(TaskBuilderBase): """ - Handles task creation for the IMAGE_BOXES task type + Base builder for simple image tasks with a single annotation type and no extra processing. """ - def _upload_task_meta(self, gt_dataset: dm.Dataset): - layout = simple_task.TaskMetaLayout() - serializer = simple_task.TaskMetaSerializer() - - file_list = [] - file_list.append( - ( - serializer.serialize_gt_annotations(gt_dataset), - layout.GT_FILENAME, - ) - ) - - storage_client = self._make_cloud_storage_client(self._oracle_data_bucket) - for file_data, filename in file_list: - storage_client.create_file( - compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), - file_data, - ) + @abstractmethod + def _upload_task_meta(self, gt_dataset: dm.Dataset) -> None: ... def _parse_gt_dataset( self, gt_file_data: bytes, *, add_prefix: str | None = None @@ -110,6 +95,9 @@ def _get_gt_filenames( return list(matched_gt_filenames) + def _prepare_cvat_label_configuration(self) -> list[dict]: + return make_cvat_label_configuration(self.manifest) + def build(self): manifest = self.manifest escrow_address = self.escrow_address @@ -133,7 +121,7 @@ def build(self): # Create task configuration gt_filenames = self._get_gt_filenames(gt_dataset, data_filenames, manifest=manifest) data_to_be_annotated = [f for f in data_filenames if f not in set(gt_filenames)] - label_configuration = make_label_configuration(manifest) + label_configuration = self._prepare_cvat_label_configuration() self._upload_task_meta(gt_dataset) @@ -207,6 +195,32 @@ def build(self): db_service.touch(session, Project, [project_id]) +class LabelBinaryTaskBuilder(TaskBuilderBase): + def build(self): + raise NotImplementedError + + +class BoxesTaskBuilder(SimpleTaskBuilder): + def _upload_task_meta(self, gt_dataset: dm.Dataset): + layout = simple_task.TaskMetaLayout() + serializer = simple_task.TaskMetaSerializer() + + file_list = [] + file_list.append( + ( + serializer.serialize_gt_annotations(gt_dataset), + layout.GT_FILENAME, + ) + ) + + storage_client = self._make_cloud_storage_client(self._oracle_data_bucket) + for file_data, filename in file_list: + storage_client.create_file( + compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), + file_data, + ) + + class PointsTaskBuilder(SimpleTaskBuilder): def __init__(self, manifest: JobManifest, escrow_address: str, chain_id: int) -> None: super().__init__(manifest=manifest, escrow_address=escrow_address, chain_id=chain_id) @@ -321,7 +335,7 @@ def build(self): return super().build() -class PolygonTaskBuilder(SimpleTaskBuilder): +class PolygonTaskBuilder(BoxesTaskBuilder): def _setup_quality_settings(self, task_id: int, **overrides) -> None: values = {"iou_threshold": Config.cvat_config.iou_threshold, **overrides} super()._setup_quality_settings(task_id, **values) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py index ad1b1a5057..b1dac57322 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py @@ -51,7 +51,7 @@ MaybeUnset, filter_image_files, make_cvat_cloud_storage_params, - make_label_configuration, + make_cvat_label_configuration, strip_bucket_prefix, unset, ) @@ -804,7 +804,7 @@ def _prepare_job_layout(self): ] def _prepare_label_configuration(self): - self._label_configuration = make_label_configuration(self.manifest) + self._label_configuration = make_cvat_label_configuration(self.manifest) def _upload_task_meta(self): layout = boxes_from_points_task.TaskMetaLayout() diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py index a88362a99a..6cdc6a47b1 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py @@ -1,19 +1,20 @@ from __future__ import annotations from src.chain.escrow import get_escrow_manifest +from src.core.manifest import parse_manifest from src.core.tasks import TaskTypes from src.handlers.job_creation.builders.audio.transcription import AudioTranscriptionTaskBuilder from src.handlers.job_creation.builders.vision.basic import ( + BoxesTaskBuilder, + LabelBinaryTaskBuilder, PointsTaskBuilder, PolygonTaskBuilder, - SimpleTaskBuilder, ) from src.handlers.job_creation.builders.vision.boxes_from_points import BoxesFromPointsTaskBuilder from src.handlers.job_creation.builders.vision.skeletons_from_boxes import ( SkeletonsFromBoxesTaskBuilder, ) from src.log import ROOT_LOGGER_NAME -from src.utils.assignments import parse_manifest from src.utils.logging import get_function_logger module_logger = f"{ROOT_LOGGER_NAME}.cron.cvat" @@ -24,17 +25,19 @@ def create_task(escrow_address: str, chain_id: int) -> None: manifest = parse_manifest(get_escrow_manifest(chain_id, escrow_address)) - if manifest.annotation.type in [TaskTypes.image_boxes, TaskTypes.image_label_binary]: - builder_type = SimpleTaskBuilder + if manifest.annotation.type is TaskTypes.image_boxes: + builder_type = BoxesTaskBuilder + elif manifest.annotation.type is TaskTypes.image_label_binary: + builder_type = LabelBinaryTaskBuilder elif manifest.annotation.type is TaskTypes.image_polygons: builder_type = PolygonTaskBuilder - elif manifest.annotation.type in [TaskTypes.image_points]: + elif manifest.annotation.type is TaskTypes.image_points: builder_type = PointsTaskBuilder - elif manifest.annotation.type in [TaskTypes.image_boxes_from_points]: + elif manifest.annotation.type is TaskTypes.image_boxes_from_points: builder_type = BoxesFromPointsTaskBuilder - elif manifest.annotation.type in [TaskTypes.image_skeletons_from_boxes]: + elif manifest.annotation.type is TaskTypes.image_skeletons_from_boxes: builder_type = SkeletonsFromBoxesTaskBuilder - elif manifest.annotation.type in [TaskTypes.audio_transcription]: + elif manifest.annotation.type is TaskTypes.audio_transcription: builder_type = AudioTranscriptionTaskBuilder else: raise Exception(f"Unsupported task type {manifest.annotation.type}") diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py index fa3ccd6564..24b5607db4 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py @@ -74,7 +74,7 @@ def strip_bucket_prefix(data_filenames: list[str], prefix: str) -> list[str]: return [os.path.relpath(fn, prefix) for fn in data_filenames] -def make_label_configuration(manifest: JobManifest) -> list[dict]: +def make_cvat_label_configuration(manifest: JobManifest) -> list[dict]: return [ { "name": label.name, diff --git a/packages/examples/cvat/exchange-oracle/src/services/exchange.py b/packages/examples/cvat/exchange-oracle/src/services/exchange.py index 9582b47e07..70d57a1320 100644 --- a/packages/examples/cvat/exchange-oracle/src/services/exchange.py +++ b/packages/examples/cvat/exchange-oracle/src/services/exchange.py @@ -4,12 +4,13 @@ import src.cvat.api_calls as cvat_api import src.services.cvat as cvat_service from src.chain.escrow import get_escrow_manifest +from src.core.manifest import parse_manifest from src.core.tasks import TaskTypes from src.core.types import JobStatuses, Networks, ProjectStatuses from src.db import SessionLocal from src.db.utils import ForUpdateParams from src.models.cvat import Job -from src.utils.assignments import get_default_assignment_timeout, parse_manifest +from src.utils.assignments import get_default_assignment_timeout from src.utils.requests import get_or_404 from src.utils.time import utcnow From eab8bbafee7282a2877d4178f1e32da7a40c2a56 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Thu, 2 Jul 2026 17:11:04 +0300 Subject: [PATCH 09/53] Factor out task configuration from complex task builders --- .../builders/vision/boxes_from_points.py | 132 +++++++------- .../builders/vision/skeletons_from_boxes.py | 171 +++++++++--------- 2 files changed, 157 insertions(+), 146 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py index b1dac57322..6de9910762 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py @@ -4,6 +4,7 @@ import os import uuid from concurrent.futures import Future, ThreadPoolExecutor +from dataclasses import dataclass, field from itertools import groupby from math import ceil from pathlib import Path @@ -57,6 +58,51 @@ ) +@dataclass +class BoxesFromPointsConfig: + roi_file_ext: str = ".png" # supposed to be lossless and reasonably compressing + "File extension for RoI images, with leading dot (.) included" + + roi_size_mult: float = 1.1 + "Additional point ROI size multiplier" + + min_roi_size: tuple[int, int] = field( + default_factory=lambda: ( + Config.core_config.min_roi_size_w, + Config.core_config.min_roi_size_h, + ) + ) + "Minimum absolute ROI size, (w, h)" + + points_format: str = "coco_person_keypoints" + + embed_point_in_roi_image: bool = True + "Put a small point into the extracted RoI images for the original point" + + embedded_point_radius: int = 15 + min_embedded_point_radius_percent: float = 0.005 + max_embedded_point_radius_percent: float = 0.01 + embedded_point_color: tuple[int, int, int] = (0, 255, 255) + roi_background_color: tuple[int, int, int] = (245, 240, 242) # BGR - CVAT background color + + min_class_samples_for_roi_estimation: int = 25 + + max_class_roi_image_side_threshold: float = 0.5 + """ + The maximum allowed percent of the image for the estimated class RoI, + before the default RoI is used. Too big RoI estimations reduce the overall + prediction quality, making them unreliable. + """ + + max_discarded_threshold: float = 0.5 + """ + The maximum allowed percent of discarded + GT boxes, points, or samples for successful job launch + """ + + # TODO: consider adding an absolute number of minimum GT RoIs + + class BoxesFromPointsTaskBuilder(TaskBuilderBase): def __init__(self, manifest: JobManifest, escrow_address: str, chain_id: int) -> None: super().__init__(manifest=manifest, escrow_address=escrow_address, chain_id=chain_id) @@ -89,52 +135,7 @@ def __init__(self, manifest: JobManifest, escrow_address: str, chain_id: int) -> self._excluded_points_info: MaybeUnset[ExcludedAnnotationsInfo] = unset self._excluded_gt_info: MaybeUnset[ExcludedAnnotationsInfo] = unset - # Configuration / constants - # TODO: consider WebP if produced files are too big - self.roi_file_ext = ".png" # supposed to be lossless and reasonably compressing - "File extension for RoI images, with leading dot (.) included" - - self.list_display_threshold = 5 - "The maximum number of rendered list items in a message" - - self.roi_size_mult = 1.1 - "Additional point ROI size multiplier" - - self.min_roi_size = ( - Config.core_config.min_roi_size_w, - Config.core_config.min_roi_size_h, - ) - "Minimum absolute ROI size, (w, h)" - - self.points_format = "coco_person_keypoints" - - self.embed_point_in_roi_image = True - "Put a small point into the extracted RoI images for the original point" - - self.embedded_point_radius = 15 - self.min_embedded_point_radius_percent = 0.005 - self.max_embedded_point_radius_percent = 0.01 - self.embedded_point_color = (0, 255, 255) - self.roi_background_color = (245, 240, 242) # BGR - CVAT background color - - self.oracle_data_bucket = BucketAccessInfo.parse_obj(Config.storage_config) - - self.min_class_samples_for_roi_estimation = 25 - - self.max_class_roi_image_side_threshold = 0.5 - """ - The maximum allowed percent of the image for the estimated class RoI, - before the default RoI is used. Too big RoI estimations reduce the overall - prediction quality, making them unreliable. - """ - - self.max_discarded_threshold = 0.5 - """ - The maximum allowed percent of discarded - GT boxes, points, or samples for successful job launch - """ - - # TODO: probably, need to also add an absolute number of minimum GT RoIs + self.config = BoxesFromPointsConfig() def _download_input_data(self): data_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) @@ -175,7 +176,7 @@ def _parse_points(self): assert self._input_points_data is not unset self._points_dataset = self._parse_dataset( - self._input_points_data, dataset_format=self.points_format + self._input_points_data, dataset_format=self.config.points_format ) def _validate_gt_labels(self): @@ -276,7 +277,7 @@ def _validate_gt_annotations(self): ) if excluded_gt_info.excluded_count > ceil( - excluded_gt_info.total_count * self.max_discarded_threshold + excluded_gt_info.total_count * self.config.max_discarded_threshold ): raise TooFewSamples( "Too many GT boxes discarded, canceling job creation. Errors: {}".format( @@ -422,7 +423,7 @@ def _validate_skeleton(skeleton: dm.Skeleton, *, sample_bbox: dm.Bbox): ) if excluded_points_info.excluded_count > ceil( - excluded_points_info.total_count * self.max_discarded_threshold + excluded_points_info.total_count * self.config.max_discarded_threshold ): raise TooFewSamples( "Too many points discarded, canceling job creation. Errors: {}".format( @@ -620,7 +621,7 @@ def _find_good_gt_boxes( ) if excluded_gt_info.excluded_count > ceil( - excluded_gt_info.total_count * self.max_discarded_threshold + excluded_gt_info.total_count * self.config.max_discarded_threshold ): raise DatasetValidationError( "Too many GT boxes discarded ({} out of {}). " @@ -683,16 +684,16 @@ def _estimate_roi_sizes(self): roi_size_estimations_per_label = {} # label id -> (w, h) default_roi_size = (2, 2) # 2 will yield just the image size after halving for label_id, label_sizes in bbox_sizes_per_label.items(): - if len(label_sizes) < self.min_class_samples_for_roi_estimation: + if len(label_sizes) < self.config.min_class_samples_for_roi_estimation: estimated_size = default_roi_size classes_with_default_roi[label_id] = "too few GT provided" else: max_bbox = np.max(label_sizes, axis=0) - if np.any(max_bbox > self.max_class_roi_image_side_threshold): + if np.any(max_bbox > self.config.max_class_roi_image_side_threshold): estimated_size = default_roi_size classes_with_default_roi[label_id] = "estimated RoI is unreliable" else: - estimated_size = 2 * max_bbox * self.roi_size_mult + estimated_size = 2 * max_bbox * self.config.roi_size_mult roi_size_estimations_per_label[label_id] = estimated_size @@ -739,8 +740,8 @@ def _prepare_roi_info(self): roi_est_w, roi_est_h = self._roi_size_estimations[point_label_id] roi_est_w *= image_w roi_est_h *= image_h - roi_est_w = max(roi_est_w, self.min_roi_size[0]) - roi_est_h = max(roi_est_h, self.min_roi_size[1]) + roi_est_w = max(roi_est_w, self.config.min_roi_size[0]) + roi_est_h = max(roi_est_h, self.config.min_roi_size[1]) roi_left = max(0, original_point_x - int(roi_est_w / 2)) roi_top = max(0, original_point_y - int(roi_est_h / 2)) @@ -778,7 +779,7 @@ def _mangle_filenames(self): # TODO: maybe add different names for the same GT images in # different jobs to make them even less recognizable self._roi_filenames = { - roi.point_id: str(uuid.uuid4()) + self.roi_file_ext for roi in self._rois + roi.point_id: str(uuid.uuid4()) + self.config.roi_file_ext for roi in self._rois } def _prepare_job_layout(self): @@ -829,7 +830,7 @@ def _upload_task_meta(self): (serializer.serialize_roi_filenames(self._roi_filenames), layout.ROI_FILENAMES_FILENAME) ) - storage_client = self._make_cloud_storage_client(self.oracle_data_bucket) + storage_client = self._make_cloud_storage_client(self._oracle_data_bucket) for file_data, filename in file_list: storage_client.create_file( compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), @@ -853,7 +854,7 @@ def _extract_roi( # Coords can be outside the original image # In this case a border should be added to RoI, so that the image was centered on bbox wrapped_roi_pixels = np.zeros((roi_info.roi_h, roi_info.roi_w, 3), dtype=np.float32) - wrapped_roi_pixels[:, :] = self.roi_background_color + wrapped_roi_pixels[:, :] = self.config.roi_background_color dst_y = max(-roi_info.roi_y, 0) dst_x = max(-roi_info.roi_x, 0) @@ -876,8 +877,11 @@ def _draw_roi_point( roi_r = (roi_info.roi_w**2 + roi_info.roi_h**2) ** 0.5 / 2 point_size = int( min( - self.max_embedded_point_radius_percent * roi_r, - max(self.embedded_point_radius, self.min_embedded_point_radius_percent * roi_r), + self.config.max_embedded_point_radius_percent * roi_r, + max( + self.config.embedded_point_radius, + self.config.min_embedded_point_radius_percent * roi_r, + ), ) ) @@ -893,7 +897,7 @@ def _draw_roi_point( roi_pixels, center, point_size, - self.embedded_point_color, + self.config.embedded_point_color, cv2.FILLED, ) @@ -905,7 +909,7 @@ def _extract_and_upload_rois(self): src_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) src_prefix = src_bucket.path - dst_bucket = self.oracle_data_bucket + dst_bucket = self._oracle_data_bucket src_client = self._make_cloud_storage_client(src_bucket) dst_client = self._make_cloud_storage_client(dst_bucket) @@ -942,7 +946,7 @@ def process_file(filename: str, image_pixels: np.ndarray): for roi_info in image_roi_infos: roi_pixels = self._extract_roi(image_pixels, roi_info) - if self.embed_point_in_roi_image: + if self.config.embed_point_in_roi_image: roi_pixels = self._draw_roi_point(roi_pixels, roi_info) roi_filename = self._roi_filenames[roi_info.point_id] @@ -1024,7 +1028,7 @@ def _create_on_cvat(self): assert self._label_configuration is not unset assert self._gt_roi_dataset is not unset - oracle_bucket = self.oracle_data_bucket + oracle_bucket = self._oracle_data_bucket # Register cloud storage on CVAT to pass user dataset cvat_cloud_storage = cvat_api.create_cloudstorage( diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py index bf3de7fb70..b7f9c9e155 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py @@ -5,7 +5,7 @@ import random import uuid from concurrent.futures import Future, ThreadPoolExecutor -from dataclasses import dataclass +from dataclasses import dataclass, field from itertools import chain, groupby from math import ceil from queue import Queue @@ -57,13 +57,62 @@ ) -class SkeletonsFromBoxesTaskBuilder(TaskBuilderBase): - @dataclass - class _TaskParams: - label_id: int - roi_ids: list[int] - roi_gt_ids: list[int] +@dataclass +class _TaskParams: + label_id: int + roi_ids: list[int] + roi_gt_ids: list[int] + + +@dataclass +class SkeletonsFromBoxesConfig: + job_size_mult: int = skeletons_from_boxes_task.DEFAULT_ASSIGNMENT_SIZE_MULTIPLIER + "Job size multiplier" + + roi_file_ext: str = ".png" # supposed to be lossless and reasonably compressing + "File extension for RoI images, with leading dot (.) included" + + roi_size_mult: float = 1.1 + "Additional point ROI size multiplier" + + min_roi_size: tuple[int, int] = field( + default_factory=lambda: ( + Config.core_config.min_roi_size_w, + Config.core_config.min_roi_size_h, + ) + ) + "Minimum absolute ROI size, (w, h)" + + boxes_format: str = "coco_person_keypoints" + + embed_bbox_in_roi_image: bool = True + "Put a bbox into the extracted skeleton RoI images" + embed_tile_border: bool = True + + embedded_point_radius: int = 15 + min_embedded_point_radius_percent: float = 0.005 + max_embedded_point_radius_percent: float = 0.01 + embedded_point_color: tuple[int, int, int] = (0, 255, 255) + + roi_embedded_bbox_color: tuple[int, int, int] = (0, 255, 255) # BGR + roi_background_color: tuple[int, int, int] = (245, 240, 242) # BGR - CVAT background color + + min_label_gt_samples: int = 2 # TODO: find good threshold + + max_discarded_threshold: float = 0.5 + """ + The maximum allowed percent of discarded + GT annotations or samples for successful job launch + """ + + gt_id_attribute: str = "object_id" + "An additional way to match GT skeletons with input boxes" + + # TODO: consider adding an absolute number of minimum GT RoIs + + +class SkeletonsFromBoxesTaskBuilder(TaskBuilderBase): def __init__(self, manifest: JobManifest, escrow_address: str, chain_id: int) -> None: super().__init__(manifest=manifest, escrow_address=escrow_address, chain_id=chain_id) @@ -88,60 +137,12 @@ def __init__(self, manifest: JobManifest, escrow_address: str, chain_id: int) -> self._roi_filenames: MaybeUnset[dict[int, str]] = unset - self._task_params: MaybeUnset[list[self._TaskParams]] = unset + self._task_params: MaybeUnset[list[_TaskParams]] = unset self._excluded_gt_info: MaybeUnset[ExcludedAnnotationsInfo] = unset self._excluded_boxes_info: MaybeUnset[ExcludedAnnotationsInfo] = unset - # Configuration / constants - self.job_size_mult = skeletons_from_boxes_task.DEFAULT_ASSIGNMENT_SIZE_MULTIPLIER - "Job size multiplier" - - # TODO: consider WebP if produced files are too big - self.roi_file_ext = ".png" # supposed to be lossless and reasonably compressing - "File extension for RoI images, with leading dot (.) included" - - self.list_display_threshold = 5 - "The maximum number of rendered list items in a message" - - self.roi_size_mult = 1.1 - "Additional point ROI size multiplier" - - self.min_roi_size = ( - Config.core_config.min_roi_size_w, - Config.core_config.min_roi_size_h, - ) - "Minimum absolute ROI size, (w, h)" - - self.boxes_format = "coco_person_keypoints" - - self.embed_bbox_in_roi_image = True - "Put a bbox into the extracted skeleton RoI images" - - self.embed_tile_border = True - - self.embedded_point_radius = 15 - self.min_embedded_point_radius_percent = 0.005 - self.max_embedded_point_radius_percent = 0.01 - self.embedded_point_color = (0, 255, 255) - - self.roi_embedded_bbox_color = (0, 255, 255) # BGR - self.roi_background_color = (245, 240, 242) # BGR - CVAT background color - - self.oracle_data_bucket = BucketAccessInfo.parse_obj(Config.storage_config) - - self.min_label_gt_samples = 2 # TODO: find good threshold - - self.max_discarded_threshold = 0.5 - """ - The maximum allowed percent of discarded - GT annotations or samples for successful job launch - """ - - self.gt_id_attribute = "object_id" - "An additional way to match GT skeletons with input boxes" - - # TODO: probably, need to also add an absolute number of minimum GT RoIs per class + self.config = SkeletonsFromBoxesConfig() def _download_input_data(self): data_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) @@ -181,7 +182,7 @@ def _parse_boxes(self): assert self._input_boxes_data is not unset self._boxes_dataset = self._parse_dataset( - self._input_boxes_data, dataset_format=self.boxes_format + self._input_boxes_data, dataset_format=self.config.boxes_format ) def _validate_gt_labels(self): @@ -320,7 +321,7 @@ def _validate_skeleton(skeleton: dm.Skeleton, *, sample_bbox: dm.Bbox): ) if excluded_gt_info.excluded_count > ceil( - excluded_gt_info.total_count * self.max_discarded_threshold + excluded_gt_info.total_count * self.config.max_discarded_threshold ): raise TooFewSamples( "Too many GT skeletons discarded, canceling job creation. Errors: {}".format( @@ -493,7 +494,7 @@ def _validate_boxes_annotations(self): # noqa: PLR0912 ) if excluded_boxes_info.excluded_count > ceil( - excluded_boxes_info.total_count * self.max_discarded_threshold + excluded_boxes_info.total_count * self.config.max_discarded_threshold ): raise TooFewSamples( "Too many boxes discarded, canceling job creation. Errors: {}".format( @@ -586,8 +587,10 @@ def _find_unambiguous_matches( ) and ( # a way to customize matching if the default method is too rough - not (bbox_id := input_bbox.attributes.get(self.gt_id_attribute)) - or not (skeleton_id := gt_skeleton.attributes.get(self.gt_id_attribute)) + not (bbox_id := input_bbox.attributes.get(self.config.gt_id_attribute)) + or not ( + skeleton_id := gt_skeleton.attributes.get(self.config.gt_id_attribute) + ) or bbox_id == skeleton_id ) for gt_skeleton in gt_skeletons @@ -770,7 +773,7 @@ def _find_good_gt_skeletons( ) if excluded_gt_info.excluded_count > ceil( - self.max_discarded_threshold * excluded_gt_info.total_count + self.config.max_discarded_threshold * excluded_gt_info.total_count ): raise DatasetValidationError( "Too many GT skeletons discarded ({} out of {}). " @@ -795,7 +798,7 @@ def _find_good_gt_skeletons( labels_with_few_gt = [ gt_label_cat[label_id] for label_id, label_count in gt_count_per_class.items() - if label_count < self.min_label_gt_samples + if label_count < self.config.min_label_gt_samples ] if labels_with_few_gt: raise DatasetValidationError( @@ -822,10 +825,10 @@ def _prepare_roi_infos(self): original_bbox_cx = int(bbox.x + bbox.w / 2) original_bbox_cy = int(bbox.y + bbox.h / 2) - roi_w = ceil(bbox.w * self.roi_size_mult) - roi_h = ceil(bbox.h * self.roi_size_mult) - roi_w = max(roi_w, self.min_roi_size[0]) - roi_h = max(roi_h, self.min_roi_size[1]) + roi_w = ceil(bbox.w * self.config.roi_size_mult) + roi_h = ceil(bbox.h * self.config.roi_size_mult) + roi_w = max(roi_w, self.config.min_roi_size[0]) + roi_h = max(roi_h, self.config.min_roi_size[1]) roi_x = original_bbox_cx - int(roi_w / 2) roi_y = original_bbox_cy - int(roi_h / 2) @@ -862,7 +865,8 @@ def _mangle_filenames(self): # TODO: maybe add different names for the same GT images in # different jobs to make them even less recognizable self._roi_filenames = { - roi_info.bbox_id: str(uuid.uuid4()) + self.roi_file_ext for roi_info in self._roi_infos + roi_info.bbox_id: str(uuid.uuid4()) + self.config.roi_file_ext + for roi_info in self._roi_infos } @property @@ -871,11 +875,11 @@ def _task_segment_size(self) -> int: # is supposed to be simple and the assignment is expected # to take little time with the default job size. # Then, we add a percent of job tiles for validation, keeping the requested ratio. - return super()._task_segment_size * self.job_size_mult + return super()._task_segment_size * self.config.job_size_mult @property def _job_val_frames_count(self) -> int: - return super()._job_val_frames_count * self.job_size_mult + return super()._job_val_frames_count * self.config.job_size_mult def _prepare_task_params(self): assert self._roi_infos is not unset @@ -888,7 +892,7 @@ def _prepare_task_params(self): sample.attributes["id"]: sample.media.path for sample in self._boxes_dataset } - task_params: list[self._TaskParams] = [] + task_params: list[_TaskParams] = [] segment_size = self._task_segment_size for label_id, _ in enumerate(self.manifest.annotation.labels): label_gt_roi_ids = set( @@ -908,7 +912,7 @@ def _prepare_task_params(self): task_params.extend( [ - self._TaskParams( + _TaskParams( label_id=label_id, roi_ids=task_data_roi_ids, roi_gt_ids=label_gt_roi_ids ) for task_data_roi_ids in take_by( @@ -982,7 +986,7 @@ def _upload_task_meta(self): (serializer.serialize_point_labels(self._point_labels), layout.POINT_LABELS_FILENAME) ) - storage_client = self._make_cloud_storage_client(self.oracle_data_bucket) + storage_client = self._make_cloud_storage_client(self._oracle_data_bucket) for file_data, filename in file_list: storage_client.create_file( compose_data_bucket_filename(self.escrow_address, self.chain_id, filename), @@ -1006,7 +1010,7 @@ def _extract_roi( # Coords can be outside the original image # In this case a border should be added to RoI, so that the image was centered on bbox wrapped_roi_pixels = np.zeros((roi_info.roi_h, roi_info.roi_w, 3), dtype=np.float32) - wrapped_roi_pixels[:, :] = self.roi_background_color + wrapped_roi_pixels[:, :] = self.config.roi_background_color dst_y = max(-roi_info.roi_y, 0) dst_x = max(-roi_info.roi_x, 0) @@ -1028,7 +1032,7 @@ def _draw_roi_bbox(self, roi_image: np.ndarray, bbox: dm.Bbox) -> np.ndarray: roi_image, tuple(map(int, (roi_cx - bbox.w / 2, roi_cy - bbox.h / 2))), tuple(map(int, (roi_cx + bbox.w / 2, roi_cy + bbox.h / 2))), - self.roi_embedded_bbox_color, + self.config.roi_embedded_bbox_color, 1, cv2.LINE_4, ) @@ -1037,8 +1041,11 @@ def _draw_roi_point(self, roi_image: np.ndarray, point: tuple[float, float]) -> roi_r = (roi_image.shape[0] ** 2 + roi_image.shape[1] ** 2) ** 0.5 / 2 radius = int( min( - self.max_embedded_point_radius_percent * roi_r, - max(self.embedded_point_radius, self.min_embedded_point_radius_percent * roi_r), + self.config.max_embedded_point_radius_percent * roi_r, + max( + self.config.embedded_point_radius, + self.config.min_embedded_point_radius_percent * roi_r, + ), ) ) @@ -1054,7 +1061,7 @@ def _draw_roi_point(self, roi_image: np.ndarray, point: tuple[float, float]) -> roi_image, tuple(map(int, (point[0], point[1]))), radius, - self.embedded_point_color, + self.config.embedded_point_color, -1, cv2.LINE_4, ) @@ -1065,7 +1072,7 @@ def _extract_and_upload_rois(self): src_bucket = BucketAccessInfo.parse_obj(self.manifest.data.data_url) src_prefix = src_bucket.path - dst_bucket = self.oracle_data_bucket + dst_bucket = self._oracle_data_bucket src_client = self._make_cloud_storage_client(src_bucket) dst_client = self._make_cloud_storage_client(dst_bucket) @@ -1110,7 +1117,7 @@ def process_file(filename: str, image_pixels: np.ndarray): for roi_info in image_roi_infos: roi_pixels = self._extract_roi(image_pixels, roi_info) - if self.embed_bbox_in_roi_image: + if self.config.embed_bbox_in_roi_image: roi_pixels = self._draw_roi_bbox(roi_pixels, bbox_by_id[roi_info.bbox_id]) roi_pixels = self._draw_roi_point( roi_pixels, (roi_info.point_x, roi_info.point_y) @@ -1247,7 +1254,7 @@ def _task_params_label_key(ts): for skeleton_label_id, skeleton_label in enumerate(self.manifest.annotation.labels) } - oracle_bucket = self.oracle_data_bucket + oracle_bucket = self._oracle_data_bucket # Register cloud storage on CVAT to pass user dataset cvat_cloud_storage = cvat_api.create_cloudstorage( From 7ceaca10ca9fbb35271a4f03c954fc202ea67d5d Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Thu, 2 Jul 2026 19:50:20 +0300 Subject: [PATCH 10/53] Define audio task spec --- .../src/core/tasks/__init__.py | 4 +- .../tasks/audio_transcription/__init__.py | 0 .../core/tasks/audio_transcription/spec.py | 131 ++++++++++++++++++ .../exchange-oracle/src/core/tasks/errors.py | 2 + 4 files changed, 136 insertions(+), 1 deletion(-) create mode 100644 packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/__init__.py create mode 100644 packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py create mode 100644 packages/examples/cvat/exchange-oracle/src/core/tasks/errors.py diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/__init__.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/__init__.py index 2245fece0a..3f24f51e5c 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/__init__.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/__init__.py @@ -1,5 +1,7 @@ +from src.core.tasks import errors from src.core.tasks.types import TaskTypes __all__ = [ - "TaskTypes" + "TaskTypes", + "errors", ] diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/__init__.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py new file mode 100644 index 0000000000..29d60e5899 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py @@ -0,0 +1,131 @@ +from __future__ import annotations + +from datetime import timedelta +from enum import Enum +from typing import TYPE_CHECKING + +from pydantic import AnyUrl, BaseModel, Field + +from src.core.manifest.shared import BucketUrl # noqa: TC001 # runtime-needed by pydantic +from src.core.tasks.errors import UnsupportedManifestError +from src.utils.enums import BetterEnumMeta + +if TYPE_CHECKING: + from src.core.manifest.v2 import JobManifest + + +class NormalizerPreset(str, Enum, metaclass=BetterEnumMeta): + basic = "basic" + + +class TranscriptionTaskData(BaseModel): + media_url: AnyUrl | BucketUrl + regions_url: AnyUrl | BucketUrl + gt_url: AnyUrl | BucketUrl + + +class TranscriptionTaskValidation(BaseModel): + target_metric: str + target_score: float + + +class TranscriptionDetails(BaseModel): + assignment_time_limit: timedelta | None = None + "Maximum time to complete an assignment" + + validation_overhead: float = 0.2 + "Honeypot share of the assignment duration" + + normalizer: NormalizerPreset | None = NormalizerPreset.basic + "Text normalization for transcriptions" + + min_composition: tuple[int, int] = (2, 2) + "(gt, ds): minimum number of honeypot and DS regions per assignment" + + roi_min_duration: timedelta = timedelta(seconds=5) + "Minimum presented region duration. Smaller segments are bundled together" + + roi_max_duration: timedelta = timedelta(seconds=120) + "Maximum presented region duration. Used for input validation" + + roi_join_pause: timedelta = timedelta(milliseconds=700) + "Silence inserted between concatenated regions in an assignment clip" + + standard_assignment_duration: timedelta = timedelta(seconds=60) + "Target audio duration per assignment" + + # TODO: add honeypot rotation later + # max_validation_gt: float = 0.05 + # "Maximum share of GT regions used as honeypots. The rest is used for honeypot rotation" + + max_discarded_gt: float = 0.5 + "Maximum share of GT regions that may be discarded before job creation fails" + + sample_rate: int = 48000 + "Sample rate of the generated assignment clips, Hz" + + transcription_attr_name: str = "transcription" + "The name of the output attribute for transcriptions in CVAT tasks and annotations" + + +class TranscriptionTaskSpecification(BaseModel): + data: TranscriptionTaskData + + labels: list[str] + shared_attributes: list = Field(default_factory=list) + + validation: TranscriptionTaskValidation + + details: TranscriptionDetails = Field(default_factory=TranscriptionDetails) + + +def parse_audio_manifest(manifest: JobManifest) -> TranscriptionTaskSpecification: + """ + Produce the task specification from a manifest, encapsulating manifest-version differences. + + Only v2 manifests are supported. + """ + + version = getattr(manifest, "version", 1) + if version != 2: + raise UnsupportedManifestError( + f"Audio transcription requires a v2 manifest, got version {version}" + ) + + annotation = manifest.annotation + validation = annotation.validation + manifest_details = annotation.details + + # Only pass the details fields the manifest provides; pydantic fills the rest with defaults + # and coerces raw values (e.g. normalizer str -> NormalizerPreset). + details_fields: dict = {} + if manifest_details is not None: + if manifest_details.max_segment_duration is not None: + details_fields["roi_max_duration"] = timedelta( + seconds=manifest_details.max_segment_duration + ) + if manifest_details.validation_overhead is not None: + details_fields["validation_overhead"] = manifest_details.validation_overhead / 100.0 + if manifest_details.min_composition is not None: + details_fields["min_composition"] = ( + manifest_details.min_composition.gt, + manifest_details.min_composition.ds, + ) + details_fields["normalizer"] = manifest_details.normalizer + if manifest_details.max_time is not None: + details_fields["assignment_time_limit"] = timedelta(seconds=manifest_details.max_time) + + return TranscriptionTaskSpecification( + data=TranscriptionTaskData( + media_url=manifest.data.media_url, + regions_url=manifest.data.regions_url, + gt_url=manifest.data.gt_url, + ), + labels=[label.name for label in annotation.labels], + shared_attributes=list(annotation.shared_attributes), + validation=TranscriptionTaskValidation( + target_metric=validation.target_metric.value, + target_score=validation.target_score, + ), + details=TranscriptionDetails(**details_fields), + ) diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/errors.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/errors.py new file mode 100644 index 0000000000..68ddebabb1 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/errors.py @@ -0,0 +1,2 @@ +class UnsupportedManifestError(Exception): + pass \ No newline at end of file From e566857dd98526c3911c09ba4b06d08dc7cad147 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Fri, 3 Jul 2026 19:49:36 +0300 Subject: [PATCH 11/53] Implement audio transcription task builder Add the audio_transcription task builder end to end: parse the input regions/GT TSVs, select ground-truth honeypots and bundle DS regions, mix them into assignments, cut and concatenate per-assignment clips via ffmpeg, upload clips + input copies + region/assignment meta to the oracle bucket, and create one CVAT task per assignment. - core/tasks/audio_transcription: task spec, domain meta types, and meta (de)serialization - utils/audio: ffmpeg cut_and_concat / probe_duration helpers - debug: route the audio builder through the dev cloud-storage host patch - optionally dump per-region DS/GT cuts when DEBUG is enabled Co-Authored-By: Claude Opus 4.8 (1M context) --- .../core/tasks/audio_transcription/meta.py | 181 +++++ .../core/tasks/audio_transcription/spec.py | 3 + .../exchange-oracle/src/cvat/api_calls.py | 9 +- .../exchange-oracle/src/entrypoints/debug.py | 1 + .../builders/audio/transcription.py | 738 +++++++++++++++++- .../builders/vision/boxes_from_points.py | 2 +- .../builders/vision/skeletons_from_boxes.py | 2 +- .../src/handlers/job_creation/exceptions.py | 26 + .../src/handlers/job_creation/utils.py | 25 - .../cvat/exchange-oracle/src/utils/audio.py | 122 +++ 10 files changed, 1076 insertions(+), 33 deletions(-) create mode 100644 packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py create mode 100644 packages/examples/cvat/exchange-oracle/src/utils/audio.py diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py new file mode 100644 index 0000000000..815bdec524 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py @@ -0,0 +1,181 @@ +"""Domain types and meta persistence for audio transcription tasks. + +Regions are mixed across input files into assignments, so every region carries its own source +provenance. The persisted mappings (regions + assignments) let each region be located back in its +source media after mixing. +""" + +from __future__ import annotations + +from enum import Enum +from typing import TYPE_CHECKING + +from attrs import Factory, frozen +from datumaro.util import dump_json, parse_json + +from src.utils.enums import BetterEnumMeta + +if TYPE_CHECKING: + from datetime import timedelta + + +@frozen(kw_only=True) +class InputRegion: + """A region to annotate, parsed from the input regions TSV.""" + + filename: str + start: timedelta + stop: timedelta + label: str | None = None + row_idx: int + + @property + def id(self) -> str: + return f"{self.filename}:{self.row_idx}" + + +@frozen(kw_only=True) +class InputGtRegion: + """A ground-truth region, parsed from the input GT TSV.""" + + filename: str + start: timedelta + stop: timedelta + label: str | None = None + text: str = "" + row_idx: int + + @property + def id(self) -> str: + return f"{self.filename}:{self.row_idx}" + + +class RegionKind(str, Enum, metaclass=BetterEnumMeta): + gt = "gt" # ground-truth honeypot region + ds = "ds" # regular dataset region to annotate + + +@frozen(kw_only=True) +class PresentedRegion: + "A bundle of consecutive input ROIs from one source file, presented as a single region." + + source_filename: str + start: float # bundle span (file-time seconds): first ROI start .. last ROI stop + stop: float + kind: RegionKind + input_ids: list[str] = Factory(list) + + @property + def duration(self) -> float: + return self.stop - self.start + + +@frozen(kw_only=True) +class PlacedRegion: + "A presented region placed in an assignment" + + index: int # 0-based position within the assignment clip + source_filename: str + file_start: float + file_stop: float + clip_start: float + clip_stop: float + kind: RegionKind = RegionKind.ds + input_ids: list[str] = Factory(list) # ids of the input ROIs this bundle was built from + + +@frozen(kw_only=True) +class Assignment: + """One CVAT task: a single concatenated clip built from ``placed`` regions.""" + + id: str + clip_filename: str + clip_duration: float + placed: list[PlacedRegion] = Factory(list) + + +def _region_to_dict(r: PresentedRegion) -> dict: + return { + "source_filename": r.source_filename, + "start": r.start, + "stop": r.stop, + "kind": r.kind.value, + "input_ids": list(r.input_ids), + } + + +def _region_from_dict(d: dict) -> PresentedRegion: + return PresentedRegion( + source_filename=d["source_filename"], + start=d["start"], + stop=d["stop"], + kind=RegionKind(d["kind"]), + input_ids=list(d.get("input_ids", [])), + ) + + +def _placed_to_dict(r: PlacedRegion) -> dict: + return { + "index": r.index, + "source_filename": r.source_filename, + "file_start": r.file_start, + "file_stop": r.file_stop, + "clip_start": r.clip_start, + "clip_stop": r.clip_stop, + "kind": r.kind.value, + "input_ids": list(r.input_ids), + } + + +def _placed_from_dict(d: dict) -> PlacedRegion: + return PlacedRegion( + index=d["index"], + source_filename=d["source_filename"], + file_start=d["file_start"], + file_stop=d["file_stop"], + clip_start=d["clip_start"], + clip_stop=d["clip_stop"], + kind=RegionKind(d["kind"]), + input_ids=list(d.get("input_ids", [])), + ) + + +class TaskMetaLayout: + GT_FILENAME = "gt.tsv" + REGIONS_TSV_FILENAME = "regions.tsv" + REGIONS_FILENAME = "regions.json" + ASSIGNMENTS_FILENAME = "assignments.json" + DEBUG_DS_CUTS_DIR = "debug/ds_cuts" # per-region DS clips (debug only) + DEBUG_GT_CUTS_DIR = "debug/gt_cuts" # per-region GT clips (debug only) + + +class TaskMetaSerializer: + def serialize_regions(self, regions: list[PresentedRegion]) -> bytes: + return dump_json([_region_to_dict(r) for r in regions]) + + def parse_regions(self, data: bytes) -> list[PresentedRegion]: + return [_region_from_dict(d) for d in parse_json(data)] + + def serialize_assignments(self, assignments: list[Assignment]) -> bytes: + return dump_json( + [ + { + "id": a.id, + "clip_filename": a.clip_filename, + "clip_dur": a.clip_duration, + "placed": [_placed_to_dict(p) for p in a.placed], + } + for a in assignments + ] + ) + + def parse_assignments(self, data: bytes) -> list[Assignment]: + return [ + Assignment( + id=d["id"], + clip_filename=d["clip_filename"], + clip_duration=d["clip_dur"], + placed=[_placed_from_dict(p) for p in d.get("placed", [])], + ) + for d in parse_json(data) + ] diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py index 29d60e5899..c9888e5670 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py @@ -67,6 +67,9 @@ class TranscriptionDetails(BaseModel): transcription_attr_name: str = "transcription" "The name of the output attribute for transcriptions in CVAT tasks and annotations" + random_seed: int = 0 + "Seed for deterministic honeypot selection and assignment mixing" + class TranscriptionTaskSpecification(BaseModel): data: TranscriptionTaskData diff --git a/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py b/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py index 1d4103b111..42903bbb78 100644 --- a/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py +++ b/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py @@ -50,6 +50,7 @@ class LabelType(str, Enum, metaclass=BetterEnumMeta): points = "points" rectangle = "rectangle" polygon = "polygon" + interval = "interval" class WebhookEventType(str, Enum, metaclass=BetterEnumMeta): @@ -340,15 +341,19 @@ def create_task( project_id: int, name: str, *, - segment_size: int, + segment_size: int | None = None, ) -> models.TaskRead: logger = logging.getLogger("app") with get_api_client() as api_client: + kwargs = {} + if segment_size is not None: + kwargs["segment_size"] = segment_size + task_write_request = models.TaskWriteRequest( name=name, project_id=project_id, overlap=0, - segment_size=segment_size, + **kwargs, ) try: (task_info, _) = api_client.tasks_api.create(task_write_request) diff --git a/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py b/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py index d902e95e1a..8e62f9ef9d 100644 --- a/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py +++ b/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py @@ -55,6 +55,7 @@ def patched_make_cvat_cloud_storage_params(bucket_info: BucketAccessInfo) -> dic "src.handlers.job_creation.builders.vision.basic.make_cvat_cloud_storage_params", "src.handlers.job_creation.builders.vision.boxes_from_points.make_cvat_cloud_storage_params", "src.handlers.job_creation.builders.vision.skeletons_from_boxes.make_cvat_cloud_storage_params", + "src.handlers.job_creation.builders.audio.transcription.make_cvat_cloud_storage_params", ] with ExitStack() as stack: for target in patch_targets: diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py index 60d415cddb..230e213042 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py @@ -1,14 +1,744 @@ from __future__ import annotations +import csv +import io +import random +import time +import uuid +from collections import Counter +from datetime import timedelta +from math import ceil +from pathlib import Path, PurePosixPath +from tempfile import TemporaryDirectory +from typing import TYPE_CHECKING + +import src.cvat.api_calls as cvat_api +import src.services.cvat as db_service +from src.core.config import Config +from src.core.storage import compose_data_bucket_filename +from src.core.tasks import TaskTypes +from src.core.tasks.audio_transcription.meta import ( + Assignment, + InputGtRegion, + InputRegion, + PlacedRegion, + PresentedRegion, + RegionKind, + TaskMetaLayout, + TaskMetaSerializer, +) +from src.core.tasks.audio_transcription.spec import parse_audio_manifest +from src.core.types import TaskStatuses +from src.db import SessionLocal from src.handlers.job_creation.builders.vision.base import TaskBuilderBase +from src.handlers.job_creation.exceptions import ( + DatasetValidationError, + ExcludedAnnotationsInfo, + TooFewSamples, +) +from src.handlers.job_creation.utils import ( + MaybeUnset, + make_cvat_cloud_storage_params, + unset, +) +from src.models.cvat import Project +from src.services.cloud.utils import BucketAccessInfo +from src.utils.audio import RegionCut, cut_and_concat, probe_duration +from src.utils.logging import format_sequence +if TYPE_CHECKING: + from src.core.manifest import ManifestBase -class AudioTranscriptionTaskBuilder(TaskBuilderBase): + +# --------------------------------------------------------------------------- # +# Assignment construction +# --------------------------------------------------------------------------- # + + +def _bundle_regions( + regions: list[InputRegion], *, min_duration: float +) -> list[tuple[float, float, list[InputRegion]]]: + """ + Bundle consecutive input regions (sorted by start) into groups >= min_duration; + a region already >= min_duration stays alone. Returns (start_s, stop_s, members) per bundle. + """ + + def span(group: list[InputRegion]) -> float: + return group[-1].stop.total_seconds() - group[0].start.total_seconds() + + out: list[list[InputRegion]] = [] + bundle: list[InputRegion] | None = None + for region in regions: + if bundle is None: + bundle = [region] + elif span(bundle) < min_duration: + bundle.append(region) + else: + out.append(bundle) + bundle = [region] + + if bundle is not None: + if out and span(bundle) < min_duration: + out[-1].extend(bundle) + else: + out.append(bundle) + + return [(g[0].start.total_seconds(), g[-1].stop.total_seconds(), g) for g in out] + + +def select_honeypots( + regions: list[InputGtRegion], + *, + source_filename: str, + val_fraction: float, + min_duration: float, + random_seed: int = 0, +) -> list[PresentedRegion]: + """ + Bundle GT cues into >= min_duration groups, then pick ~val_fraction of the bundles (by count) + as honeypots. A bundle spans its first cue start to its last cue stop (including inter-cue + gaps); we never pad into unannotated media, so a bundle may stay shorter than min_duration when + the source GT does not provide enough context. """ - Handles task creation for the AUDIO_TRANSCRIPTION task type. - Stub: audio transcription task creation is not implemented yet. + regions = sorted(regions, key=lambda r: r.start) + bundles = _bundle_regions(regions, min_duration=min_duration) + + rng = random.Random(random_seed) # noqa: S311 # not cryptographic + idxs = list(range(len(bundles))) + rng.shuffle(idxs) + n_select = ceil(val_fraction * len(bundles)) + chosen = sorted(idxs[:n_select]) + + honeypots: list[PresentedRegion] = [] + for bundle_idx in chosen: + s, e, members = bundles[bundle_idx] + honeypots.append( + PresentedRegion( + source_filename=source_filename, + start=s, + stop=e, + kind=RegionKind.gt, + input_ids=[m.id for m in members], + ) + ) + return honeypots + + +def plan_assignments( + ds_regions: list[PresentedRegion], + honeypots: list[PresentedRegion], + *, + composition: tuple[int, int], + validation_overhead: float, + max_audio_duration: float, + random_seed: int = 0, +) -> list[list[PresentedRegion]]: """ + Mix DS and honeypots into assignments. Returns ordered region lists. + """ + + # 1. shuffle DS + rng = random.Random(random_seed) # noqa: S311 # not cryptographic + ds_order = list(range(len(ds_regions))) + rng.shuffle(ds_order) + + # 2. Reservoir-pack each assignment up to the DS budget (>= K_min), inject least-used honeypots + # up to the validation overhead (>= H_min), then shuffle region order. Deterministic. + ds_budget = max_audio_duration * (1.0 - validation_overhead) + hp_target = validation_overhead * max_audio_duration + h_min, k_min = composition + + hp_use: Counter = Counter() + assignments: list[list[PresentedRegion]] = [] + di = 0 + while di < len(ds_order): + chosen: list[PresentedRegion] = [] + ds_dur = 0.0 + while di < len(ds_order): + r = ds_regions[ds_order[di]] + d = r.duration + if len(chosen) >= k_min and ds_dur + d > ds_budget: + break + chosen.append(r) + ds_dur += d + di += 1 + if len(chosen) < k_min: + break # DS stream exhausted - can't form a full assignment + + hp_dur = 0.0 + # least-used honeypots first, randomized within each use-count tier + hp_ranked = sorted(range(len(honeypots)), key=lambda i: (hp_use[i], rng.random())) + for n_hp, i in enumerate(hp_ranked): + if (hp_dur >= hp_target and n_hp >= h_min) or n_hp >= len(honeypots): + break + chosen.append(honeypots[i]) + hp_dur += honeypots[i].duration + hp_use[i] += 1 + + rng.shuffle(chosen) + assignments.append(chosen) + + return assignments + + +def place_regions( + regions: list[PresentedRegion], *, pause_s: float +) -> tuple[list[PlacedRegion], float]: + """Clip-time placement of concatenated regions (region durations + inter-region pauses).""" + placed: list[PlacedRegion] = [] + t = 0.0 + n = len(regions) + for i, region in enumerate(regions): + dur = region.duration + placed.append( + PlacedRegion( + index=i, + source_filename=region.source_filename, + file_start=region.start, + file_stop=region.stop, + clip_start=t, + clip_stop=t + dur, + kind=region.kind, + input_ids=region.input_ids, + ) + ) + t += dur + if i < n - 1: + t += pause_s + return placed, t + + +def _overlaps(a0: float, a1: float, b0: float, b1: float) -> bool: + return a0 < b1 and b0 < a1 + + +# --------------------------------------------------------------------------- # +# Builder +# --------------------------------------------------------------------------- # + + +class AudioTranscriptionTaskBuilder(TaskBuilderBase): + def __init__(self, manifest: ManifestBase, escrow_address: str, chain_id: int) -> None: + super().__init__(manifest=manifest, escrow_address=escrow_address, chain_id=chain_id) + + self.spec = parse_audio_manifest(self.manifest) + + self._media_dir: MaybeUnset[Path] = unset + self._media_paths: MaybeUnset[dict[str, Path]] = unset # source_filename -> local path + self._regions_by_file: MaybeUnset[dict[str, list[InputRegion]]] = unset + self._gt_by_file: MaybeUnset[dict[str, list[InputGtRegion]]] = unset + self._regions_tsv_data: MaybeUnset[bytes] = unset # raw input regions TSV + self._gt_tsv_data: MaybeUnset[bytes] = unset # raw input GT TSV + self._ds_regions: MaybeUnset[list[PresentedRegion]] = unset + self._honeypots: MaybeUnset[list[PresentedRegion]] = unset + self._assignments: MaybeUnset[list[Assignment]] = unset + self._excluded_gt_info: MaybeUnset[ExcludedAnnotationsInfo] = unset + + self._meta_serializer = TaskMetaSerializer() + self._meta_layout = TaskMetaLayout() + + # -- input ------------------------------------------------------------- # + + def _download_input_data(self) -> None: + media_bucket = BucketAccessInfo.parse_obj(self.spec.data.media_url) + regions_bucket = BucketAccessInfo.parse_obj(self.spec.data.regions_url) + gt_bucket = BucketAccessInfo.parse_obj(self.spec.data.gt_url) + + media_client = self._make_cloud_storage_client(media_bucket) + regions_client = self._make_cloud_storage_client(regions_bucket) + gt_client = self._make_cloud_storage_client(gt_bucket) + + regions_tsv_data = regions_client.download_file(regions_bucket.path) + gt_tsv_data = gt_client.download_file(gt_bucket.path) + regions_by_file = _parse_regions_tsv(regions_tsv_data) + gt_by_file = _parse_gt_tsv(gt_tsv_data) + + # download only the referenced media files + referenced = set(regions_by_file) | set(gt_by_file) + media_dir = Path(self.exit_stack.enter_context(TemporaryDirectory())) + media_paths: dict[str, Path] = {} + for filename in sorted(referenced): + local_path = media_dir / PurePosixPath(filename) + local_path.parent.mkdir(parents=True, exist_ok=True) + + data = media_client.download_file(_bucket_key(media_bucket.path, filename)) + local_path.write_bytes(data) + media_paths[filename] = local_path + + self._media_dir = media_dir + self._media_paths = media_paths + self._regions_by_file = regions_by_file + self._gt_by_file = gt_by_file + self._regions_tsv_data = regions_tsv_data + self._gt_tsv_data = gt_tsv_data + + # -- region pools ------------------------------------------------------ # + + def _prepare_rois(self) -> None: + self._build_gt_regions() + self._build_ds_regions() + + def _build_gt_regions(self) -> None: + assert self._gt_by_file is not unset + assert self._media_paths is not unset + + excluded_gt = ExcludedAnnotationsInfo() + honeypots: list[PresentedRegion] = [] + + for filename in sorted(self._gt_by_file): + file_duration = probe_duration(self._media_paths[filename]) + valid_regions = _validate_gt_regions( + self._gt_by_file[filename], + filename, + file_duration, + self.spec.details.roi_max_duration.total_seconds(), + excluded_gt, + ) + if not valid_regions: + continue + + honeypots.extend( + select_honeypots( + valid_regions, + source_filename=filename, + val_fraction=1.0, # use all GT as honeypots (rotation is a future feature) + min_duration=self.spec.details.roi_min_duration.total_seconds(), + random_seed=self.spec.details.random_seed, + ) + ) + + if excluded_gt.excluded_count: + self.logger.warning( + "Some GT regions were excluded due to errors found: \n{}".format( + format_sequence([m.message for m in excluded_gt.messages], separator="\n") + ) + ) + if excluded_gt.excluded_count > ceil( + excluded_gt.total_count * self.spec.details.max_discarded_gt + ): + raise TooFewSamples( + "Too many GT regions discarded, canceling job creation. Errors: {}".format( + format_sequence([m.message for m in excluded_gt.messages]) + ) + ) + + h_min = self.spec.details.min_composition[0] + if len(honeypots) < h_min: + raise TooFewSamples( + f"Too few ground-truth honeypots after filtering ({len(honeypots)}), " + f"at least {h_min} required." + ) + + self._honeypots = honeypots + self._excluded_gt_info = excluded_gt + + # -- dataset regions --------------------------------------------------- # + + def _build_ds_regions(self) -> None: + assert self._regions_by_file is not unset + assert self._gt_by_file is not unset + + # Regions and ground truth are should not normally overlap. + # Keep all DS regions regardless and only warn if overlaps are found. + gt_spans_by_file: dict[str, list[tuple[float, float]]] = {} + for filename, gt_regions in self._gt_by_file.items(): + gt_spans_by_file[filename] = [ + (gt.start.total_seconds(), gt.stop.total_seconds()) for gt in gt_regions + ] + + ds_regions: list[PresentedRegion] = [] + overlap_count = 0 + for filename in sorted(self._regions_by_file): + gt_spans = gt_spans_by_file.get(filename, []) + rows = sorted(self._regions_by_file[filename], key=lambda r: r.start) + overlap_count += sum( + any( + _overlaps(r.start.total_seconds(), r.stop.total_seconds(), gs, ge) + for gs, ge in gt_spans + ) + for r in rows + ) + bundled = _bundle_regions( + rows, + min_duration=self.spec.details.roi_min_duration.total_seconds(), + ) + for start, stop, members in bundled: + ds_regions.append( + PresentedRegion( + source_filename=filename, + start=start, + stop=stop, + kind=RegionKind.ds, + input_ids=[m.id for m in members], + ) + ) + + if overlap_count: + self.logger.warning( + f"{overlap_count} input region(s) overlap ground-truth regions; " + "regions and ground truth are expected to be disjoint." + ) + + self._ds_regions = ds_regions + + # -- assignments ------------------------------------------------------- # + + def _prepare_assignments(self) -> None: + assert self._ds_regions is not unset + assert self._honeypots is not unset + assert self._media_dir is not unset + assert self._media_paths is not unset + + region_lists = plan_assignments( + self._ds_regions, + self._honeypots, + composition=self.spec.details.min_composition, + validation_overhead=self.spec.details.validation_overhead, + max_audio_duration=self.spec.details.standard_assignment_duration.total_seconds(), + random_seed=self.spec.details.random_seed, + ) + if not region_lists: + raise DatasetValidationError( + "No assignments could be formed from the provided regions and ground truth" + ) + + pause = self.spec.details.roi_join_pause + pause_ms = round(pause.total_seconds() * 1000) + assignments: list[Assignment] = [] + for regions in region_lists: + assignment_id = uuid.uuid4().hex + clip_filename = f"{assignment_id}.wav" + clip_path = self._media_dir / clip_filename + + cuts = [ + RegionCut(media=self._media_paths[r.source_filename], start=r.start, stop=r.stop) + for r in regions + ] + cut_and_concat( + cuts, clip_path, pause_ms=pause_ms, sample_rate=self.spec.details.sample_rate + ) + + placed, clip_duration = place_regions(regions, pause_s=pause.total_seconds()) + assignments.append( + Assignment( + id=assignment_id, + clip_filename=clip_filename, + clip_duration=clip_duration, + placed=placed, + ) + ) + self._assignments = assignments + + # -- persistence ------------------------------------------------------- # + + def _upload_clips_and_meta(self) -> None: + assert self._assignments is not unset + assert self._media_dir is not unset + assert self._media_paths is not unset + assert self._ds_regions is not unset + assert self._honeypots is not unset + assert self._regions_tsv_data is not unset + assert self._gt_tsv_data is not unset + + storage_client = self._make_cloud_storage_client(self._oracle_data_bucket) + + for assignment in self._assignments: + clip_path = self._media_dir / assignment.clip_filename + storage_client.create_file( + compose_data_bucket_filename( + self.escrow_address, self.chain_id, assignment.clip_filename + ), + clip_path.read_bytes(), + ) + + # copies of the raw inputs, for provenance / downstream scoring + storage_client.create_file( + compose_data_bucket_filename( + self.escrow_address, self.chain_id, self._meta_layout.REGIONS_TSV_FILENAME + ), + self._regions_tsv_data, + ) + storage_client.create_file( + compose_data_bucket_filename( + self.escrow_address, self.chain_id, self._meta_layout.GT_FILENAME + ), + self._gt_tsv_data, + ) + + pool = list(self._ds_regions) + list(self._honeypots) + storage_client.create_file( + compose_data_bucket_filename( + self.escrow_address, self.chain_id, self._meta_layout.REGIONS_FILENAME + ), + self._meta_serializer.serialize_regions(pool), + ) + storage_client.create_file( + compose_data_bucket_filename( + self.escrow_address, self.chain_id, self._meta_layout.ASSIGNMENTS_FILENAME + ), + self._meta_serializer.serialize_assignments(self._assignments), + ) + + if Config.debug: + self._upload_debug_cuts(storage_client) + + def _upload_debug_cuts(self, storage_client) -> None: + """Upload each DS/GT region as its own clip into debug dirs, for inspection.""" + assert self._media_dir is not unset + assert self._media_paths is not unset + assert self._ds_regions is not unset + assert self._honeypots is not unset + + pairs = ( + (self._meta_layout.DEBUG_DS_CUTS_DIR, self._ds_regions), + (self._meta_layout.DEBUG_GT_CUTS_DIR, self._honeypots), + ) + for subdir, regions in pairs: + for i, region in enumerate(regions): + stem = PurePosixPath(region.source_filename).stem + cut_name = f"{i:04d}_{stem}_{region.start:.2f}-{region.stop:.2f}.wav" + cut_path = self._media_dir / cut_name + cut_and_concat( + [ + RegionCut( + media=self._media_paths[region.source_filename], + start=region.start, + stop=region.stop, + ) + ], + cut_path, + pause_ms=0, + sample_rate=self.spec.details.sample_rate, + ) + storage_client.create_file( + compose_data_bucket_filename( + self.escrow_address, self.chain_id, f"{subdir}/{cut_name}" + ), + cut_path.read_bytes(), + ) + + # -- CVAT + DB --------------------------------------------------------- # + + def _create_on_cvat(self) -> None: + assert self._assignments is not unset + + escrow_address = self.escrow_address + chain_id = self.chain_id + + label_configuration = _make_cvat_audio_label_configuration( + self.spec.labels, + transcription_attr_name=self.spec.details.transcription_attr_name, + shared_attributes=self.spec.shared_attributes, + ) + + cvat_project = cvat_api.create_project(escrow_address, labels=label_configuration) + cvat_webhook = cvat_api.create_cvat_webhook(cvat_project.id) + cloud_storage = cvat_api.create_cloudstorage( + **make_cvat_cloud_storage_params(self._oracle_data_bucket) + ) + + with SessionLocal.begin() as session: + self.logger.info( + "Task creation for escrow '%s': will create %s assignments", + escrow_address, + len(self._assignments), + ) + db_service.create_escrow_creation( + session, + escrow_address=escrow_address, + chain_id=chain_id, + total_jobs=len(self._assignments), + ) + + project_id = db_service.create_project( + session, + cvat_project.id, + cloud_storage.id, + TaskTypes.audio_transcription, + escrow_address, + chain_id, + self._oracle_data_bucket.to_url(), + cvat_webhook_id=cvat_webhook.id, + ) + db_service.get_project_by_id(session, project_id, for_update=True) # lock the row + + for assignment in self._assignments: + clip_key = compose_data_bucket_filename( + escrow_address, chain_id, assignment.clip_filename + ) + cvat_task = cvat_api.create_task(cvat_project.id, escrow_address) + task_id = db_service.create_task( + session, cvat_task.id, cvat_project.id, TaskStatuses[cvat_task.status] + ) + db_service.get_task_by_id(session, task_id, for_update=True) # lock the row + + cvat_api.put_task_data(cvat_task.id, cloud_storage.id, filenames=[clip_key]) + db_service.create_data_upload(session, cvat_task.id) + + db_service.touch(session, Project, [project_id]) + + # -- orchestration ----------------------------------------------------- # def build(self) -> None: - raise NotImplementedError("Audio transcription task creation is not implemented yet") + self._download_input_data() + + self._prepare_rois() + self._prepare_assignments() + + self._upload_clips_and_meta() + self._create_on_cvat() + + +# --------------------------------------------------------------------------- # +# TSV parsing +# --------------------------------------------------------------------------- # + + +def _parse_time(v: str) -> timedelta: + for fmt_string in ("%H:%M:%S.%f", "%H:%M:%S"): + try: + parsed_time = time.strptime(v, fmt_string) + if fmt_string.endswith(".%f"): + # time.strptime drops sub-second precision, so recover it from the raw string. + frac = v.split(".", maxsplit=1)[-1] + microseconds = int(frac.ljust(6, "0")[:6]) + else: + microseconds = 0 + except ValueError: + continue + else: + return timedelta( + hours=parsed_time.tm_hour, + minutes=parsed_time.tm_min, + seconds=parsed_time.tm_sec, + microseconds=microseconds, + ) + + raise ValueError(f"Failed to parse timestamp '{v}'") + + +def _read_tsv(data: bytes) -> list[dict[str, str]]: + reader = csv.DictReader(io.StringIO(data.decode("utf-8")), delimiter="\t") + return list(reader) + + +def _parse_regions_tsv(data: bytes) -> dict[str, list[InputRegion]]: + by_file: dict[str, list[InputRegion]] = {} + for row_idx, row in enumerate(_read_tsv(data)): + filename = row["filename"].strip() + by_file.setdefault(filename, []).append( + InputRegion( + filename=filename, + row_idx=row_idx, + start=_parse_time(row["start"]), + stop=_parse_time(row["stop"]), + label=(row.get("label") or "").strip() or None, + ) + ) + return by_file + + +def _parse_gt_tsv(data: bytes) -> dict[str, list[InputGtRegion]]: + by_file: dict[str, list[InputGtRegion]] = {} + for row_idx, row in enumerate(_read_tsv(data)): + filename = row["filename"].strip() + by_file.setdefault(filename, []).append( + InputGtRegion( + filename=filename, + row_idx=row_idx, + start=_parse_time(row["start"]), + stop=_parse_time(row["stop"]), + label=(row.get("label") or "").strip() or None, + text=(row.get("text") or "").strip(), + ) + ) + return by_file + + +# --------------------------------------------------------------------------- # +# Helpers +# --------------------------------------------------------------------------- # + +def _validate_gt_regions( + regions: list[InputGtRegion], + filename: str, + file_duration: float, + max_duration: float, + excluded: ExcludedAnnotationsInfo, +) -> list[InputGtRegion]: + valid: list[InputGtRegion] = [] + for region in regions: + start = region.start.total_seconds() + stop = region.stop.total_seconds() + + excluded.total_count += 1 + + if not (0 <= start < stop <= file_duration + 1e-6): + excluded.excluded_count += 1 + excluded.add_message( + f"GT region '{region.row_idx}' ({region.label}) [{start:.3f}, {stop:.3f}] " + "- invalid timestamps", + sample_id=filename, + sample_subset="", + ) + continue + + if stop - start > max_duration: + excluded.excluded_count += 1 + excluded.add_message( + f"GT region '{region.row_idx}' ({region.label}) [{start:.3f}, {stop:.3f}] " + f"- longer than the maximum region duration ({max_duration:.3f}s)", + sample_id=filename, + sample_subset="", + ) + continue + + valid.append(region) + + return valid + + +def _bucket_key(prefix: str, filename: str) -> str: + """Join a bucket prefix and a filename into a POSIX-style object key.""" + return str(PurePosixPath(prefix, filename)) + +def _make_cvat_audio_label_configuration( + labels: list[str], + *, + transcription_attr_name: str, + shared_attributes: list | None = None, +) -> list[dict]: + """Interval labels (one per speaker) each carrying a mutable transcription text attribute, + plus any shared attributes. Used for audio_transcription tasks.""" + shared_attributes = shared_attributes or [] + + def _shared_attr_spec(attr) -> dict: + return { + "name": attr.name, + "mutable": True, + "input_type": attr.type or "text", + "values": list(attr.values), + "default_value": attr.default_value, + } + + label_config = [] + for name in labels: + attributes = [ + { + "name": transcription_attr_name, + "mutable": True, + "input_type": "text", + "values": [], + "default_value": "", + }, + *(_shared_attr_spec(a) for a in shared_attributes), + ] + label_config.append( + { + "name": name, + "type": cvat_api.LabelType.interval.value, + "attributes": attributes, + } + ) + return label_config diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py index 6de9910762..7dba049790 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py @@ -41,6 +41,7 @@ from src.handlers.job_creation.builders.vision.base import TaskBuilderBase from src.handlers.job_creation.exceptions import ( DatasetValidationError, + ExcludedAnnotationsInfo, InvalidCategories, InvalidCoordinates, InvalidImageInfo, @@ -48,7 +49,6 @@ TooFewSamples, ) from src.handlers.job_creation.utils import ( - ExcludedAnnotationsInfo, MaybeUnset, filter_image_files, make_cvat_cloud_storage_params, diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py index b7f9c9e155..31558143d6 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py @@ -42,13 +42,13 @@ from src.handlers.job_creation.builders.vision.base import TaskBuilderBase from src.handlers.job_creation.exceptions import ( DatasetValidationError, + ExcludedAnnotationsInfo, InvalidCoordinates, InvalidImageInfo, MismatchingAnnotations, TooFewSamples, ) from src.handlers.job_creation.utils import ( - ExcludedAnnotationsInfo, MaybeUnset, filter_image_files, make_cvat_cloud_storage_params, diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/exceptions.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/exceptions.py index bf737ef20f..c1c5708ffb 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/exceptions.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/exceptions.py @@ -1,5 +1,7 @@ from __future__ import annotations +from dataclasses import dataclass, field + class DatasetValidationError(Exception): pass @@ -27,3 +29,27 @@ class InvalidCoordinates(DatasetValidationError): class InvisibleSkeletonError(DatasetValidationError): pass + + +@dataclass +class ExcludedAnnotationInfo: + message: str + sample_id: str = field(kw_only=True) + sample_subset: str = field(kw_only=True) + + +@dataclass +class ExcludedAnnotationsInfo: + messages: list[ExcludedAnnotationInfo] = field(default_factory=list) + + excluded_count: int = 0 + "The number of excluded annotations. Can be different from len(messages)" + + total_count: int = 0 + + def add_message(self, message: str, *, sample_id: str, sample_subset: str): + self.messages.append( + ExcludedAnnotationInfo( + message=message, sample_id=sample_id, sample_subset=sample_subset + ) + ) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py index 24b5607db4..b9b957d580 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py @@ -1,7 +1,6 @@ from __future__ import annotations import os -from dataclasses import dataclass, field from typing import TYPE_CHECKING, TypeVar from datumaro.util.image import IMAGE_EXTENSIONS @@ -37,30 +36,6 @@ def __bool__(self) -> bool: MaybeUnset = T | _Undefined -@dataclass -class ExcludedAnnotationInfo: - message: str - sample_id: str = field(kw_only=True) - sample_subset: str = field(kw_only=True) - - -@dataclass -class ExcludedAnnotationsInfo: - messages: list[ExcludedAnnotationInfo] = field(default_factory=list) - - excluded_count: int = 0 - "The number of excluded annotations. Can be different from len(messages)" - - total_count: int = 0 - - def add_message(self, message: str, *, sample_id: str, sample_subset: str): - self.messages.append( - ExcludedAnnotationInfo( - message=message, sample_id=sample_id, sample_subset=sample_subset - ) - ) - - def is_image(path: str) -> bool: trunk, ext = os.path.splitext(os.path.basename(path)) return trunk and ext.lower() in IMAGE_EXTENSIONS diff --git a/packages/examples/cvat/exchange-oracle/src/utils/audio.py b/packages/examples/cvat/exchange-oracle/src/utils/audio.py new file mode 100644 index 0000000000..e627269f26 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/utils/audio.py @@ -0,0 +1,122 @@ +"""ffmpeg/ffprobe helpers for audio task creation. + +ffmpeg and ffprobe must be available on PATH (system dependency). +Ported from the asr-qa-research prototype (experiments/pipeline_test/oracle.py::cut_clip). +""" + +from __future__ import annotations + +import subprocess +from dataclasses import dataclass +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from pathlib import Path + + +class FfmpegError(RuntimeError): + pass + + +@dataclass(frozen=True) +class RegionCut: + """A slice [start, stop) (seconds) to take from a source media file.""" + + media: Path + start: float + stop: float + + @property + def duration(self) -> float: + return self.stop - self.start + + +def probe_duration(path: Path) -> float: + """Return media duration in seconds""" + + cmd = [ + "ffprobe", + "-v", + "error", + "-show_entries", + "format=duration", + "-of", + "csv=p=0", + str(path), + ] + result = subprocess.run(cmd, capture_output=True, text=True, check=False) # noqa: S603 + if result.returncode != 0: + raise FfmpegError(f"ffprobe failed for {path}:\n{result.stderr[-800:]}") + + return float(result.stdout.strip()) + + +def cut_and_concat( + regions: list[RegionCut], + out_path: Path, + *, + pause_ms: int, + sample_rate: int, +) -> None: + """ + Trim each region from its own media and concatenate them into a single mono clip, + separated by ``pause_ms`` of silence. Output is ``sample_rate`` Hz mono WAV. + + Assignments mix regions from multiple source files, so each region is trimmed from its + own input (distinct medias map to distinct ffmpeg input indices). + """ + if not regions: + raise ValueError("cut_and_concat requires at least one region") + + out_path.parent.mkdir(parents=True, exist_ok=True) + pause_s = pause_ms / 1000.0 + + # distinct source files -> ffmpeg input indices + medias: list[Path] = [] + idx_of: dict[str, int] = {} + for region in regions: + key = str(region.media) + if key not in idx_of: + idx_of[key] = len(medias) + medias.append(region.media) + + filter_parts: list[str] = [] + segment_labels: list[str] = [] + n = len(regions) + for i, region in enumerate(regions): + inp = idx_of[str(region.media)] + filter_parts.append( + f"[{inp}:a]atrim={region.start:.3f}:{region.stop:.3f},asetpts=PTS-STARTPTS," + f"aresample={sample_rate},aformat=channel_layouts=mono[s{i}]" + ) + segment_labels.append(f"[s{i}]") + if i < n - 1: + filter_parts.append(f"aevalsrc=0:d={pause_s}:s={sample_rate}[g{i}]") + segment_labels.append(f"[g{i}]") + + filter_parts.append("".join(segment_labels) + f"concat=n={len(segment_labels)}:v=0:a=1[out]") + + inputs: list[str] = [] + for media in medias: + inputs += ["-i", str(media)] + + cmd = [ + "ffmpeg", + "-y", + "-hide_banner", + "-v", + "error", + *inputs, + "-filter_complex", + ";".join(filter_parts), + "-map", + "[out]", + "-ar", + str(sample_rate), + "-ac", + "1", + str(out_path), + ] + result = subprocess.run(cmd, capture_output=True, text=True, check=False) # noqa: S603 + if result.returncode != 0: + raise FfmpegError(f"ffmpeg cut/concat failed for {out_path}:\n{result.stderr[-800:]}") From 6c2cc7736e11c4fa46e544fb2e87db1a9d554d95 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Fri, 3 Jul 2026 19:49:38 +0300 Subject: [PATCH 12/53] Bump cvat-sdk to 2.69.0 Match the CVAT server version used by the local deployment; the older 2.37.0 client rejected newer server responses. Co-Authored-By: Claude Opus 4.8 (1M context) --- packages/examples/cvat/exchange-oracle/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/packages/examples/cvat/exchange-oracle/pyproject.toml b/packages/examples/cvat/exchange-oracle/pyproject.toml index 428e3a87f4..7d2970cda7 100644 --- a/packages/examples/cvat/exchange-oracle/pyproject.toml +++ b/packages/examples/cvat/exchange-oracle/pyproject.toml @@ -15,7 +15,7 @@ psycopg2 = "^2.9.6" sqlalchemy-utils = "^0.41.1" alembic = "^1.11.1" httpx = "^0.24.1" -cvat-sdk = "2.37.0" +cvat-sdk = "2.69.0" sqlalchemy = "^2.0.16" apscheduler = "^3.10.1" xmltodict = "^0.13.0" From e066ecf874dc079cbc5f5e35abcb6aab7a4b77de Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Fri, 3 Jul 2026 21:12:32 +0300 Subject: [PATCH 13/53] Refine audio task builder: bundling caps, clips subdir, debug dumps - Bound region bundling: cap the join gap at min_duration and the merged span at max_duration, so bundles no longer bridge long silences over sparse input (kept assignment durations near the target). - Store assignment clips under a clips/ subdir on the oracle bucket; reference the full key in task creation (CVAT requires it). - Upload copies of the input regions/GT TSVs alongside the meta. - Optionally dump per-region DS/GT cuts into debug dirs when DEBUG is set. - Add a configurable random_seed to the task spec, forwarded to honeypot selection and assignment mixing. - Forward the annotation user_guide from the manifest to the CVAT project. Co-Authored-By: Claude Opus 4.8 (1M context) --- .../core/tasks/audio_transcription/meta.py | 1 + .../core/tasks/audio_transcription/spec.py | 2 + .../builders/audio/transcription.py | 43 +++++++++++++------ 3 files changed, 32 insertions(+), 14 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py index 815bdec524..801684b683 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py @@ -141,6 +141,7 @@ def _placed_from_dict(d: dict) -> PlacedRegion: class TaskMetaLayout: + CLIPS_DIR = "clips" # assignment clips subdir on the oracle bucket GT_FILENAME = "gt.tsv" REGIONS_TSV_FILENAME = "regions.tsv" REGIONS_FILENAME = "regions.json" diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py index c9888e5670..f80bfc3344 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py @@ -76,6 +76,7 @@ class TranscriptionTaskSpecification(BaseModel): labels: list[str] shared_attributes: list = Field(default_factory=list) + user_guide: str = "" validation: TranscriptionTaskValidation @@ -126,6 +127,7 @@ def parse_audio_manifest(manifest: JobManifest) -> TranscriptionTaskSpecificatio ), labels=[label.name for label in annotation.labels], shared_attributes=list(annotation.shared_attributes), + user_guide=annotation.user_guide_url, validation=TranscriptionTaskValidation( target_metric=validation.target_metric.value, target_score=validation.target_score, diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py index 230e213042..83c1ce47bd 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py @@ -56,32 +56,39 @@ def _bundle_regions( - regions: list[InputRegion], *, min_duration: float + regions: list[InputRegion], *, min_duration: float, max_duration: float ) -> list[tuple[float, float, list[InputRegion]]]: """ Bundle consecutive input regions (sorted by start) into groups >= min_duration; a region already >= min_duration stays alone. Returns (start_s, stop_s, members) per bundle. + + A bundle's span (first ROI start .. last ROI stop) includes the gaps between its members, so + two limits keep bundles from ballooning over sparse input: + - max_duration caps the presented span (a longer bundle would fail input validation anyway); + - the join gap is capped at min_duration, so we never bridge a long silence between ROIs. """ def span(group: list[InputRegion]) -> float: return group[-1].stop.total_seconds() - group[0].start.total_seconds() + def joinable(group: list[InputRegion], region: InputRegion) -> bool: + gap = region.start.total_seconds() - group[-1].stop.total_seconds() + reach = region.stop.total_seconds() - group[0].start.total_seconds() + return span(group) < min_duration and gap <= min_duration and reach <= max_duration + out: list[list[InputRegion]] = [] bundle: list[InputRegion] | None = None for region in regions: if bundle is None: bundle = [region] - elif span(bundle) < min_duration: + elif joinable(bundle, region): bundle.append(region) else: out.append(bundle) bundle = [region] - if bundle is not None: - if out and span(bundle) < min_duration: - out[-1].extend(bundle) - else: - out.append(bundle) + if bundle is not None: # trailing bundle may stay shorter than min_duration + out.append(bundle) return [(g[0].start.total_seconds(), g[-1].stop.total_seconds(), g) for g in out] @@ -92,6 +99,7 @@ def select_honeypots( source_filename: str, val_fraction: float, min_duration: float, + max_duration: float, random_seed: int = 0, ) -> list[PresentedRegion]: """ @@ -102,7 +110,7 @@ def select_honeypots( """ regions = sorted(regions, key=lambda r: r.start) - bundles = _bundle_regions(regions, min_duration=min_duration) + bundles = _bundle_regions(regions, min_duration=min_duration, max_duration=max_duration) rng = random.Random(random_seed) # noqa: S311 # not cryptographic idxs = list(range(len(bundles))) @@ -304,6 +312,7 @@ def _build_gt_regions(self) -> None: source_filename=filename, val_fraction=1.0, # use all GT as honeypots (rotation is a future feature) min_duration=self.spec.details.roi_min_duration.total_seconds(), + max_duration=self.spec.details.roi_max_duration.total_seconds(), random_seed=self.spec.details.random_seed, ) ) @@ -362,6 +371,7 @@ def _build_ds_regions(self) -> None: bundled = _bundle_regions( rows, min_duration=self.spec.details.roi_min_duration.total_seconds(), + max_duration=self.spec.details.roi_max_duration.total_seconds(), ) for start, stop, members in bundled: ds_regions.append( @@ -447,7 +457,9 @@ def _upload_clips_and_meta(self) -> None: clip_path = self._media_dir / assignment.clip_filename storage_client.create_file( compose_data_bucket_filename( - self.escrow_address, self.chain_id, assignment.clip_filename + self.escrow_address, + self.chain_id, + f"{self._meta_layout.CLIPS_DIR}/{assignment.clip_filename}", ), clip_path.read_bytes(), ) @@ -481,10 +493,9 @@ def _upload_clips_and_meta(self) -> None: ) if Config.debug: - self._upload_debug_cuts(storage_client) + self._upload_roi_cuts(storage_client) - def _upload_debug_cuts(self, storage_client) -> None: - """Upload each DS/GT region as its own clip into debug dirs, for inspection.""" + def _upload_roi_cuts(self, storage_client) -> None: assert self._media_dir is not unset assert self._media_paths is not unset assert self._ds_regions is not unset @@ -532,7 +543,9 @@ def _create_on_cvat(self) -> None: shared_attributes=self.spec.shared_attributes, ) - cvat_project = cvat_api.create_project(escrow_address, labels=label_configuration) + cvat_project = cvat_api.create_project( + escrow_address, labels=label_configuration, user_guide=self.spec.user_guide + ) cvat_webhook = cvat_api.create_cvat_webhook(cvat_project.id) cloud_storage = cvat_api.create_cloudstorage( **make_cvat_cloud_storage_params(self._oracle_data_bucket) @@ -565,7 +578,9 @@ def _create_on_cvat(self) -> None: for assignment in self._assignments: clip_key = compose_data_bucket_filename( - escrow_address, chain_id, assignment.clip_filename + escrow_address, + chain_id, + f"{self._meta_layout.CLIPS_DIR}/{assignment.clip_filename}", ) cvat_task = cvat_api.create_task(cvat_project.id, escrow_address) task_id = db_service.create_task( From 928522ca4c50d1f56cfafbbfb3cd4926a17260d9 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Mon, 6 Jul 2026 14:16:03 +0300 Subject: [PATCH 14/53] Fix manifest parsing --- .../exchange-oracle/src/core/manifest/v2.py | 39 ++++++--------- .../src/handlers/job_creation/factory.py | 48 ++++++++++++------- 2 files changed, 45 insertions(+), 42 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py index 10f49fcc75..76ac94fade 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py @@ -116,52 +116,43 @@ class AnnotationInfo(BaseModel): details: ImageJobDetails | AudioJobDetails | None = None "Task-specific details" - @model_validator(mode="before") - @classmethod - def validate_label_type(cls, values: dict[str, Any]) -> dict[str, Any]: - if not isinstance(values, dict): - raise NotImplementedError - - default_label_type = LabelTypes.plain - if values["type"] == TaskTypes.image_skeletons_from_boxes: - default_label_type = LabelTypes.skeleton - - # Add default value for labels, if none provided. - # pydantic can't do this for tagged unions - try: - labels = values["labels"] - for label_info in labels: - label_info["type"] = label_info.get("type", default_label_type) - except KeyError: - pass - - return values - class JobManifest(BaseModel): version: Literal[2] - task_type: TaskTypes + job_type: TaskTypes data: DataInfo annotation: AnnotationInfo @model_validator(mode="before") @classmethod - def validate_task_details(cls, values: dict[str, Any]) -> dict[str, Any]: + def parse_task_specific_params(cls, values: dict[str, Any]) -> dict[str, Any]: if not isinstance(values, dict): raise NotImplementedError + job_type = values.get("job_type") + annotation = values.get("annotation") if not isinstance(annotation, dict): raise NotImplementedError + # Default label types (pydantic can't do this for tagged unions). + default_label_type = ( + LabelTypes.skeleton + if job_type == TaskTypes.image_skeletons_from_boxes + else LabelTypes.plain + ) + for label_info in annotation.get("labels", []): + if isinstance(label_info, dict): + label_info.setdefault("type", default_label_type) + if details := annotation.get("details"): if not isinstance(details, dict): raise NotImplementedError details_cls = ( AudioJobDetails - if values.get("job_type") == TaskTypes.audio_transcription + if job_type == TaskTypes.audio_transcription else ImageJobDetails ) annotation["details"] = details_cls.model_validate(details) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py index 6cdc6a47b1..3b35d4161e 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py @@ -1,7 +1,9 @@ from __future__ import annotations +from typing import cast + from src.chain.escrow import get_escrow_manifest -from src.core.manifest import parse_manifest +from src.core import manifest as manifest_utils from src.core.tasks import TaskTypes from src.handlers.job_creation.builders.audio.transcription import AudioTranscriptionTaskBuilder from src.handlers.job_creation.builders.vision.basic import ( @@ -23,24 +25,34 @@ def create_task(escrow_address: str, chain_id: int) -> None: logger = get_function_logger(module_logger) - manifest = parse_manifest(get_escrow_manifest(chain_id, escrow_address)) - - if manifest.annotation.type is TaskTypes.image_boxes: - builder_type = BoxesTaskBuilder - elif manifest.annotation.type is TaskTypes.image_label_binary: - builder_type = LabelBinaryTaskBuilder - elif manifest.annotation.type is TaskTypes.image_polygons: - builder_type = PolygonTaskBuilder - elif manifest.annotation.type is TaskTypes.image_points: - builder_type = PointsTaskBuilder - elif manifest.annotation.type is TaskTypes.image_boxes_from_points: - builder_type = BoxesFromPointsTaskBuilder - elif manifest.annotation.type is TaskTypes.image_skeletons_from_boxes: - builder_type = SkeletonsFromBoxesTaskBuilder - elif manifest.annotation.type is TaskTypes.audio_transcription: - builder_type = AudioTranscriptionTaskBuilder + manifest = manifest_utils.parse_manifest(get_escrow_manifest(chain_id, escrow_address)) + + if manifest.version == 1: + manifest = cast("manifest_utils.v1.JobManifest", manifest) + task_type = manifest.annotation.type + elif manifest.version == 2: + manifest = cast("manifest_utils.v2.JobManifest", manifest) + task_type = manifest.job_type else: - raise Exception(f"Unsupported task type {manifest.annotation.type}") + raise NotImplementedError(f"Unknown manifest version '{manifest.version}'") + + match task_type: + case TaskTypes.image_boxes: + builder_type = BoxesTaskBuilder + case TaskTypes.image_label_binary: + builder_type = LabelBinaryTaskBuilder + case TaskTypes.image_polygons: + builder_type = PolygonTaskBuilder + case TaskTypes.image_points: + builder_type = PointsTaskBuilder + case TaskTypes.image_boxes_from_points: + builder_type = BoxesFromPointsTaskBuilder + case TaskTypes.image_skeletons_from_boxes: + builder_type = SkeletonsFromBoxesTaskBuilder + case TaskTypes.audio_transcription: + builder_type = AudioTranscriptionTaskBuilder + case _: + raise Exception(f"Unsupported task type {task_type}") with builder_type(manifest, escrow_address, chain_id) as task_builder: task_builder.set_logger(logger) From d084d7a503802a8523ecb33027577ee16572114f Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Mon, 6 Jul 2026 14:25:18 +0300 Subject: [PATCH 15/53] Create test assets directory --- .../tests/api/test_exchange_api.py | 28 +++++++++--------- .../datasets/gt_annotations_coco.zip | Bin .../annotations/instances_default.json | 0 .../tests/{utils => assets}/datasets/img1.jpg | Bin .../{utils => assets}/datasets/img10.jpg | Bin .../{utils => assets}/datasets/img11.jpg | Bin .../{utils => assets}/datasets/img12.jpg | Bin .../{utils => assets}/datasets/img13.jpg | Bin .../tests/{utils => assets}/datasets/img2.jpg | Bin .../tests/{utils => assets}/datasets/img3.jpg | Bin .../tests/{utils => assets}/datasets/img4.jpg | Bin .../tests/{utils => assets}/datasets/img5.jpg | Bin .../tests/{utils => assets}/datasets/img6.jpg | Bin .../tests/{utils => assets}/datasets/img7.jpg | Bin .../tests/{utils => assets}/datasets/img8.jpg | Bin .../tests/{utils => assets}/datasets/img9.jpg | Bin .../{utils => assets/manifests}/manifest.json | 0 .../test_track_completed_escrows.py | 8 ++--- .../test_process_job_launcher_webhooks.py | 4 +-- .../integration/services/test_exchange.py | 24 +++++++-------- 20 files changed, 32 insertions(+), 32 deletions(-) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/gt_annotations_coco.zip (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/gt_annotations_coco/annotations/instances_default.json (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/img1.jpg (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/img10.jpg (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/img11.jpg (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/img12.jpg (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/img13.jpg (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/img2.jpg (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/img3.jpg (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/img4.jpg (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/img5.jpg (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/img6.jpg (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/img7.jpg (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/img8.jpg (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets}/datasets/img9.jpg (100%) rename packages/examples/cvat/exchange-oracle/tests/{utils => assets/manifests}/manifest.json (100%) diff --git a/packages/examples/cvat/exchange-oracle/tests/api/test_exchange_api.py b/packages/examples/cvat/exchange-oracle/tests/api/test_exchange_api.py index 53a16ded0e..b3c552b888 100644 --- a/packages/examples/cvat/exchange-oracle/tests/api/test_exchange_api.py +++ b/packages/examples/cvat/exchange-oracle/tests/api/test_exchange_api.py @@ -175,7 +175,7 @@ def validate_result( session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -240,7 +240,7 @@ def test_can_list_jobs_200_without_escrows_in_hidden_states( session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -298,7 +298,7 @@ def test_can_list_jobs_200_with_only_one_entry_per_escrow_address_if_several_pro session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -338,7 +338,7 @@ def test_can_list_jobs_200_with_fields(client: TestClient, session: Session) -> session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -421,7 +421,7 @@ def test_can_list_jobs_200_with_sorting(client: TestClient, session: Session) -> } == {(obj.__class__.__name__, obj.id): True for obj in cvat_jobs + cvat_tasks + cvat_projects} with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -541,7 +541,7 @@ def test_can_list_jobs_200_with_filters(client: TestClient, session: Session): post_init_time = utcnow() + timedelta(seconds=1) with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -632,7 +632,7 @@ def test_can_list_jobs_200_can_show_only_active_jobs_with_free_assignments( session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -681,7 +681,7 @@ def test_can_list_jobs_200_check_values(client: TestClient, session: Session) -> session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -740,7 +740,7 @@ def test_can_list_jobs_200_without_address(client: TestClient, session: Session) session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -875,7 +875,7 @@ def test_can_create_assignment_200(client: TestClient, session: Session) -> None session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_serializer_get_manifest, patch("src.services.exchange.get_escrow_manifest") as mock_exchange_get_manifest, patch( @@ -980,7 +980,7 @@ def test_cannot_create_assignment_400_when_has_unfinished_assignments( session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, ): manifest = json.load(data) @@ -1075,7 +1075,7 @@ def test_can_list_assignments_200(client: TestClient, session: Session) -> None: post_init_time = utcnow() + timedelta(seconds=1) with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -1156,7 +1156,7 @@ def test_can_list_assignments_200_with_sorting(client: TestClient, session: Sess session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -1513,7 +1513,7 @@ def test_can_list_jobs_200_check_updated_at(client: TestClient, session: Session session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_serializer_get_manifest, patch("src.services.exchange.get_escrow_manifest") as mock_exchange_get_manifest, patch( diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/gt_annotations_coco.zip b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/gt_annotations_coco.zip similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/gt_annotations_coco.zip rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/gt_annotations_coco.zip diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/gt_annotations_coco/annotations/instances_default.json b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/gt_annotations_coco/annotations/instances_default.json similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/gt_annotations_coco/annotations/instances_default.json rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/gt_annotations_coco/annotations/instances_default.json diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/img1.jpg b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/img1.jpg similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/img1.jpg rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/img1.jpg diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/img10.jpg b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/img10.jpg similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/img10.jpg rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/img10.jpg diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/img11.jpg b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/img11.jpg similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/img11.jpg rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/img11.jpg diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/img12.jpg b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/img12.jpg similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/img12.jpg rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/img12.jpg diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/img13.jpg b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/img13.jpg similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/img13.jpg rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/img13.jpg diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/img2.jpg b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/img2.jpg similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/img2.jpg rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/img2.jpg diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/img3.jpg b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/img3.jpg similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/img3.jpg rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/img3.jpg diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/img4.jpg b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/img4.jpg similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/img4.jpg rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/img4.jpg diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/img5.jpg b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/img5.jpg similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/img5.jpg rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/img5.jpg diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/img6.jpg b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/img6.jpg similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/img6.jpg rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/img6.jpg diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/img7.jpg b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/img7.jpg similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/img7.jpg rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/img7.jpg diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/img8.jpg b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/img8.jpg similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/img8.jpg rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/img8.jpg diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/datasets/img9.jpg b/packages/examples/cvat/exchange-oracle/tests/assets/datasets/img9.jpg similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/datasets/img9.jpg rename to packages/examples/cvat/exchange-oracle/tests/assets/datasets/img9.jpg diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/manifest.json b/packages/examples/cvat/exchange-oracle/tests/assets/manifests/manifest.json similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/utils/manifest.json rename to packages/examples/cvat/exchange-oracle/tests/assets/manifests/manifest.json diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py index 13410d300c..b086425289 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py @@ -572,7 +572,7 @@ def test_can_export_escrow(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.handlers.completed_escrows.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.completed_escrows.validate_escrow"), patch("src.handlers.completed_escrows.cvat_api") as mock_cvat_api, @@ -700,7 +700,7 @@ def test_can_export_escrow_error_getting_annotations(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.handlers.completed_escrows.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.completed_escrows.validate_escrow"), patch( @@ -823,7 +823,7 @@ def test_can_export_escrow_error_uploading_files(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.handlers.completed_escrows.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.completed_escrows.validate_escrow"), patch("src.handlers.completed_escrows.cvat_api") as mock_cvat_api, @@ -948,7 +948,7 @@ def test_can_export_multiple_projects_per_escrow(self): self.session.commit() with ( - open("tests/utils/manifest.json") as manifest_data, + open("tests/assets/manifests/manifest.json") as manifest_data, patch("src.handlers.completed_escrows.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.completed_escrows.validate_escrow"), patch("src.handlers.completed_escrows.cvat_api") as mock_cvat_api, diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py index ba178240ba..17857e0081 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py @@ -62,7 +62,7 @@ def test_process_incoming_job_launcher_webhooks_escrow_created_type(self): self.session.commit() with ( patch("src.chain.escrow.get_escrow") as mock_escrow, - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.handlers.job_creation.factory.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.job_creation.builders.vision.basic.cvat_api") as mock_cvat_api, patch( @@ -248,7 +248,7 @@ def test_process_incoming_job_launcher_webhooks_escrow_created_type_remove_when_ self.session.commit() with ( patch("src.chain.escrow.get_escrow") as mock_escrow, - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.handlers.job_creation.factory.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.job_creation.builders.vision.basic.cvat_api") as mock_cvat_api, patch( diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/services/test_exchange.py b/packages/examples/cvat/exchange-oracle/tests/integration/services/test_exchange.py index 58d89d3ca3..6d2b191df7 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/services/test_exchange.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/services/test_exchange.py @@ -40,7 +40,7 @@ def test_serialize_job(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -99,7 +99,7 @@ def test_create_assignment(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -154,7 +154,7 @@ def test_create_assignment_many_jobs_1_completed(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -193,7 +193,7 @@ def test_create_assignment_invalid_project(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, ): manifest = json.load(data) @@ -212,7 +212,7 @@ def test_create_assignment_no_required_qualifications(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, ): manifest = json.load(data) @@ -240,7 +240,7 @@ def test_create_assignment_with_required_qualifications(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -293,7 +293,7 @@ def test_create_assignment_unfinished_assignment(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -331,7 +331,7 @@ def test_create_assignment_has_expired_assignment_and_available_jobs(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -381,7 +381,7 @@ def test_create_assignment_no_available_jobs_completed_assignment(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -426,7 +426,7 @@ def test_create_assignment_no_available_jobs_active_foreign_assignment(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -464,7 +464,7 @@ def test_create_assignment_wont_reassign_job_to_previous_user(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -511,7 +511,7 @@ def test_create_assignment_can_assign_job_to_new_user(self): self.session.commit() with ( - open("tests/utils/manifest.json") as data, + open("tests/assets/manifests/manifest.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): From ab44088876a367748c27d3f054332af73835321b Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Mon, 6 Jul 2026 15:23:30 +0300 Subject: [PATCH 16/53] Update cuts location --- .../src/core/tasks/audio_transcription/meta.py | 4 ++-- .../src/handlers/job_creation/builders/audio/transcription.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py index 801684b683..c4c5b18b23 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py @@ -146,8 +146,8 @@ class TaskMetaLayout: REGIONS_TSV_FILENAME = "regions.tsv" REGIONS_FILENAME = "regions.json" ASSIGNMENTS_FILENAME = "assignments.json" - DEBUG_DS_CUTS_DIR = "debug/ds_cuts" # per-region DS clips (debug only) - DEBUG_GT_CUTS_DIR = "debug/gt_cuts" # per-region GT clips (debug only) + DS_CUTS_DIR = "ds_cuts" + GT_CUTS_DIR = "gt_cuts" class TaskMetaSerializer: diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py index 83c1ce47bd..753c859d1a 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py @@ -502,8 +502,8 @@ def _upload_roi_cuts(self, storage_client) -> None: assert self._honeypots is not unset pairs = ( - (self._meta_layout.DEBUG_DS_CUTS_DIR, self._ds_regions), - (self._meta_layout.DEBUG_GT_CUTS_DIR, self._honeypots), + (self._meta_layout.DS_CUTS_DIR, self._ds_regions), + (self._meta_layout.GT_CUTS_DIR, self._honeypots), ) for subdir, regions in pairs: for i, region in enumerate(regions): From 4fec9c9eb424b862c22be81f8b074fe2fd5ddc45 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Mon, 6 Jul 2026 15:42:56 +0300 Subject: [PATCH 17/53] Rename completed_escrows to job_completion --- .../src/crons/cvat/state_trackers.py | 2 +- .../src/crons/webhooks/recording_oracle.py | 2 +- ...completed_escrows.py => job_completion.py} | 0 .../test_track_completed_escrows.py | 48 +++++++++---------- 4 files changed, 26 insertions(+), 26 deletions(-) rename packages/examples/cvat/exchange-oracle/src/handlers/{completed_escrows.py => job_completion.py} (100%) diff --git a/packages/examples/cvat/exchange-oracle/src/crons/cvat/state_trackers.py b/packages/examples/cvat/exchange-oracle/src/crons/cvat/state_trackers.py index f841397b45..00a000bb31 100644 --- a/packages/examples/cvat/exchange-oracle/src/crons/cvat/state_trackers.py +++ b/packages/examples/cvat/exchange-oracle/src/crons/cvat/state_trackers.py @@ -14,8 +14,8 @@ from src.db import SessionLocal from src.db import errors as db_errors from src.db.utils import ForUpdateParams -from src.handlers.completed_escrows import handle_escrows_validations from src.handlers.cvat_events import cvat_webhook_handler +from src.handlers.job_completion import handle_escrows_validations from src.utils.logging import format_sequence from src.utils.time import utcnow diff --git a/packages/examples/cvat/exchange-oracle/src/crons/webhooks/recording_oracle.py b/packages/examples/cvat/exchange-oracle/src/crons/webhooks/recording_oracle.py index bf527a9ef0..6fe64a0a33 100644 --- a/packages/examples/cvat/exchange-oracle/src/crons/webhooks/recording_oracle.py +++ b/packages/examples/cvat/exchange-oracle/src/crons/webhooks/recording_oracle.py @@ -19,7 +19,7 @@ from src.crons._cron_job import cron_job from src.crons.webhooks._common import handle_webhook, process_outgoing_webhooks from src.db.utils import ForUpdateParams -from src.handlers.completed_escrows import handle_escrow_export +from src.handlers.job_completion import handle_escrow_export from src.models.webhook import Webhook diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/completed_escrows.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion.py similarity index 100% rename from packages/examples/cvat/exchange-oracle/src/handlers/completed_escrows.py rename to packages/examples/cvat/exchange-oracle/src/handlers/job_completion.py diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py index b086425289..9cc86c5d64 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py @@ -26,7 +26,7 @@ from src.crons import track_completed_escrows from src.crons.cvat.state_trackers import track_escrow_validations from src.db import SessionLocal -from src.handlers.completed_escrows import handle_escrow_export +from src.handlers.job_completion import handle_escrow_export from src.models.cvat import ( Assignment, EscrowCreation, @@ -263,8 +263,8 @@ def test_can_request_validation(self): self.session.commit() with ( - patch("src.handlers.completed_escrows.validate_escrow"), - patch("src.handlers.completed_escrows.cloud_service") as mock_cloud_service, + patch("src.handlers.job_completion.validate_escrow"), + patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, ): mock_storage_client = Mock() mock_storage_client.create_file = Mock() @@ -373,8 +373,8 @@ def test_request_validation_error_in_file_uploading_increases_attempts(self): self.session.commit() with ( - patch("src.handlers.completed_escrows.validate_escrow"), - patch("src.handlers.completed_escrows.cloud_service") as mock_cloud_service, + patch("src.handlers.job_completion.validate_escrow"), + patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, patch("src.services.cloud.make_client"), ): mock_cloud_service.make_client.return_value.create_file.side_effect = _TestException() @@ -466,8 +466,8 @@ def test_can_request_validation_multiple_projects_per_escrow_all_completed(self) self.session.commit() with ( - patch("src.handlers.completed_escrows.validate_escrow"), - patch("src.handlers.completed_escrows.cloud_service") as mock_cloud_service, + patch("src.handlers.job_completion.validate_escrow"), + patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, ): mock_storage_client = Mock() mock_storage_client.create_file = Mock() @@ -573,10 +573,10 @@ def test_can_export_escrow(self): with ( open("tests/assets/manifests/manifest.json") as data, - patch("src.handlers.completed_escrows.get_escrow_manifest") as mock_get_manifest, - patch("src.handlers.completed_escrows.validate_escrow"), - patch("src.handlers.completed_escrows.cvat_api") as mock_cvat_api, - patch("src.handlers.completed_escrows.cloud_service") as mock_cloud_service, + patch("src.handlers.job_completion.get_escrow_manifest") as mock_get_manifest, + patch("src.handlers.job_completion.validate_escrow"), + patch("src.handlers.job_completion.cvat_api") as mock_cvat_api, + patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, ): manifest = json.load(data) mock_get_manifest.return_value = manifest @@ -701,12 +701,12 @@ def test_can_export_escrow_error_getting_annotations(self): with ( open("tests/assets/manifests/manifest.json") as data, - patch("src.handlers.completed_escrows.get_escrow_manifest") as mock_get_manifest, - patch("src.handlers.completed_escrows.validate_escrow"), + patch("src.handlers.job_completion.get_escrow_manifest") as mock_get_manifest, + patch("src.handlers.job_completion.validate_escrow"), patch( - "src.handlers.completed_escrows.cvat_api.request_job_annotations" + "src.handlers.job_completion.cvat_api.request_job_annotations" ) as mock_request_job_annotations, - patch("src.handlers.completed_escrows.cloud_service") as mock_cloud_service, + patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, ): manifest = json.load(data) mock_get_manifest.return_value = manifest @@ -824,10 +824,10 @@ def test_can_export_escrow_error_uploading_files(self): with ( open("tests/assets/manifests/manifest.json") as data, - patch("src.handlers.completed_escrows.get_escrow_manifest") as mock_get_manifest, - patch("src.handlers.completed_escrows.validate_escrow"), - patch("src.handlers.completed_escrows.cvat_api") as mock_cvat_api, - patch("src.handlers.completed_escrows.cloud_service") as mock_cloud_service, + patch("src.handlers.job_completion.get_escrow_manifest") as mock_get_manifest, + patch("src.handlers.job_completion.validate_escrow"), + patch("src.handlers.job_completion.cvat_api") as mock_cvat_api, + patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, patch("src.services.cloud.make_client"), ): manifest = json.load(data) @@ -949,12 +949,12 @@ def test_can_export_multiple_projects_per_escrow(self): with ( open("tests/assets/manifests/manifest.json") as manifest_data, - patch("src.handlers.completed_escrows.get_escrow_manifest") as mock_get_manifest, - patch("src.handlers.completed_escrows.validate_escrow"), - patch("src.handlers.completed_escrows.cvat_api") as mock_cvat_api, - patch("src.handlers.completed_escrows.cloud_service") as mock_cloud_service, + patch("src.handlers.job_completion.get_escrow_manifest") as mock_get_manifest, + patch("src.handlers.job_completion.validate_escrow"), + patch("src.handlers.job_completion.cvat_api") as mock_cvat_api, + patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, patch( - "src.handlers.completed_escrows.postprocess_annotations" + "src.handlers.job_completion.postprocess_annotations" ) as mock_postprocess_annotations, ): manifest = json.load(manifest_data) From 56b353046c7a0b35b2096efdfdbf6b0dd16f34a2 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Mon, 6 Jul 2026 18:16:51 +0300 Subject: [PATCH 18/53] Refactor job completion handlers, add audio task completion handler --- .../src/core/manifest/__init__.py | 17 +- .../src/crons/webhooks/recording_oracle.py | 2 +- .../exchange-oracle/src/cvat/api_calls.py | 26 +- .../exchange-oracle/src/entrypoints/debug.py | 2 + .../src/handlers/job_completion.py | 348 ------------------ .../src/handlers/job_completion/__init__.py | 3 + .../src/handlers/job_completion/factory.py | 43 +++ .../src/handlers/job_completion/handlers.py | 75 ++++ .../job_completion/validators/__init__.py | 0 .../job_completion/validators/audio.py | 58 +++ .../job_completion/validators/base.py | 81 ++++ .../src/handlers/job_creation/factory.py | 16 +- .../src/handlers/job_export/__init__.py | 3 + .../src/handlers/job_export/downloading.py | 123 +++++++ .../handlers/job_export/exporters/__init__.py | 0 .../handlers/job_export/exporters/audio.py | 23 ++ .../src/handlers/job_export/exporters/base.py | 67 ++++ .../exporters/vision.py} | 269 ++++++++------ .../src/handlers/job_export/factory.py | 43 +++ .../src/handlers/job_export/handlers.py | 33 ++ .../src/handlers/job_export/results.py | 82 +++++ .../test_track_completed_escrows.py | 62 ++-- 22 files changed, 858 insertions(+), 518 deletions(-) delete mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_completion.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_completion/__init__.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_completion/factory.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_completion/handlers.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/__init__.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/base.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_export/__init__.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_export/downloading.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/__init__.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/base.py rename packages/examples/cvat/exchange-oracle/src/handlers/{job_export.py => job_export/exporters/vision.py} (73%) create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_export/factory.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_export/handlers.py create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_export/results.py diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/__init__.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/__init__.py index d19a7550a7..5d91f29f36 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/manifest/__init__.py +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/__init__.py @@ -1,10 +1,16 @@ -from typing import Any +from __future__ import annotations + +from typing import TYPE_CHECKING, Any from src.core.manifest import v1, v2 from src.core.manifest.base import ManifestBase +if TYPE_CHECKING: + from src.core.tasks import TaskTypes + __all__ = [ "ManifestBase", + "get_manifest_task_type", "parse_manifest", "v1", "v2", @@ -21,3 +27,12 @@ def parse_manifest(manifest: Any) -> ManifestBase: return v2.JobManifest.model_validate(manifest) else: return v1.JobManifest.model_validate(manifest) + + +def get_manifest_task_type(manifest: ManifestBase) -> TaskTypes: + if isinstance(manifest, v1.JobManifest): + return manifest.annotation.type + if isinstance(manifest, v2.JobManifest): + return manifest.job_type + + raise NotImplementedError(f"Unknown manifest version '{manifest.version}'") diff --git a/packages/examples/cvat/exchange-oracle/src/crons/webhooks/recording_oracle.py b/packages/examples/cvat/exchange-oracle/src/crons/webhooks/recording_oracle.py index 6fe64a0a33..1985119256 100644 --- a/packages/examples/cvat/exchange-oracle/src/crons/webhooks/recording_oracle.py +++ b/packages/examples/cvat/exchange-oracle/src/crons/webhooks/recording_oracle.py @@ -19,7 +19,7 @@ from src.crons._cron_job import cron_job from src.crons.webhooks._common import handle_webhook, process_outgoing_webhooks from src.db.utils import ForUpdateParams -from src.handlers.job_completion import handle_escrow_export +from src.handlers.job_export import handle_escrow_export from src.models.webhook import Webhook diff --git a/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py b/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py index 42903bbb78..bfacd03134 100644 --- a/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py +++ b/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py @@ -92,6 +92,7 @@ def _get_annotations( *, attempt_interval: int = 5, timeout: int | None = _NOTSET, + expect_zip: bool = True, ) -> io.RawIOBase: """ Downloads annotations. @@ -133,9 +134,12 @@ def _get_annotations( request_auths=list(api_client.configuration.auth_settings().values()), body="", ) + response = api_client.rest_client.GET(request_info.result_url, headers=headers) file_buffer = io.BytesIO(response.data) - assert zipfile.is_zipfile(file_buffer) + if expect_zip: + assert zipfile.is_zipfile(file_buffer) + file_buffer.seek(0) return file_buffer @@ -524,19 +528,26 @@ def request_job_annotations(cvat_id: int, format_name: str) -> str: raise -def get_job_annotations(request_id: str, *, timeout: int | None = _NOTSET) -> io.RawIOBase: +def get_job_annotations( + request_id: str, *, timeout: int | None = _NOTSET, expect_zip: bool = True +) -> io.RawIOBase: """ Downloads annotations. The dataset preparation can take some time (e.g. 10 min), so it must be used like this: request_id = request_job_annotations(...): get_job_annotations(request_id, ...) + + Some export formats (e.g. "Generic TSV 1.0") return a plain file instead of a zip archive; + pass ``expect_zip=False`` for those. """ logger = logging.getLogger("app") with get_api_client() as api_client: try: - return _get_annotations(api_client, request_id=request_id, timeout=timeout) + return _get_annotations( + api_client, request_id=request_id, timeout=timeout, expect_zip=expect_zip + ) except exceptions.ApiException as e: logger.exception(f"Exception when calling JobsApi.retrieve_annotations: {e}\n") raise @@ -613,17 +624,12 @@ def clear_job_annotations(job_id: int) -> None: with get_api_client() as api_client: try: - api_client.jobs_api.update_annotations( - id=job_id, - job_annotations_update_request=models.JobAnnotationsUpdateRequest( - tags=[], shapes=[], tracks=[] - ), - ) + api_client.jobs_api.destroy_annotations(id=job_id) except exceptions.ApiException as e: if e.status == 404: return - logger.exception(f"Exception when calling JobsApi.partial_update_annotations(): {e}\n") + logger.exception(f"Exception when calling JobsApi.destroy_annotations(): {e}\n") raise diff --git a/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py b/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py index 8e62f9ef9d..0c996dfbc2 100644 --- a/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py +++ b/packages/examples/cvat/exchange-oracle/src/entrypoints/debug.py @@ -228,6 +228,8 @@ def decode_plain_json_token(self, token) -> dict[str, Any]: token_data["wallet_address"] = None token_data["email"] = "" + token_data.setdefault("qualifications", []) + logger.info(f"DEV: Decoded plain JSON auth token: {token_data}") return token_data except (ValueError, TypeError): diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion.py deleted file mode 100644 index 663ecb2c4f..0000000000 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion.py +++ /dev/null @@ -1,348 +0,0 @@ -import io -import logging -from collections.abc import Callable, Sequence -from functools import partial -from typing import Any - -from datumaro.util import take_by -from sqlalchemy.orm import Session - -import src.cvat.api_calls as cvat_api -import src.services.cloud as cloud_service -import src.services.cvat as cvat_service -import src.services.webhook as oracle_db_service -from src.chain.escrow import get_escrow_manifest, validate_escrow -from src.core.annotation_meta import ANNOTATION_RESULTS_METAFILE_NAME, RESULTING_ANNOTATIONS_FILE -from src.core.config import CronConfig, StorageConfig -from src.core.manifest import parse_manifest -from src.core.oracle_events import ( - ExchangeOracleEvent_EscrowRecorded, - ExchangeOracleEvent_JobFinished, -) -from src.core.storage import compose_results_bucket_filename -from src.core.tasks import TaskTypes -from src.core.types import EscrowValidationStatuses, OracleWebhookTypes -from src.db import SessionLocal -from src.db.utils import ForUpdateParams -from src.handlers.job_export import ( - CVAT_EXPORT_FORMAT_MAPPING, - FileDescriptor, - postprocess_annotations, - prepare_annotation_metafile, -) -from src.models.cvat import Job, Project -from src.services.cloud.types import BucketAccessInfo - - -def _download_with_retries( - logger: logging.Logger, - download_callback: Callable[[], io.RawIOBase], - retry_callback: Callable[[], Any], - *, - max_attempts: int | None = None, -) -> io.RawIOBase: - """ - Sometimes CVAT downloading can fail with the 500 error. - This function tries to repeat the export in such cases. - """ - - if max_attempts is None: - max_attempts = CronConfig.track_completed_escrows_max_downloading_retries - - attempt = 0 - while attempt < max_attempts: - try: - return download_callback() - except cvat_api.exceptions.ApiException as e: - if 500 <= e.status < 600 and attempt + 1 < max_attempts: - attempt += 1 - logger.info(f"Retrying downloading, attempt #{attempt} of {max_attempts}...") - retry_callback() - else: - raise - return None - - -def _export_escrow_annotations( - logger: logging.Logger, - chain_id: int, - escrow_address: str, - escrow_projects: Sequence[Project], - session: Session, -) -> None: - manifest = parse_manifest(get_escrow_manifest(chain_id, escrow_address)) - - escrow_creation = cvat_service.get_escrow_creation_by_escrow_address( - session, - escrow_address, - chain_id, - active=False, - ) - if not escrow_creation: - raise AssertionError(f"Can't find escrow creation for escrow '{escrow_address}'") - - jobs = cvat_service.get_jobs_by_escrow_address(session, escrow_address, chain_id) - if len(jobs) != escrow_creation.total_jobs: - raise AssertionError( - f"Unexpected number of jobs fetched for escrow " - f"'{escrow_address}': {len(jobs)}, expected {escrow_creation.total_jobs}" - ) - - logger.debug(f"Downloading results for the escrow ({escrow_address=})") - - annotation_format = CVAT_EXPORT_FORMAT_MAPPING[manifest.annotation.type] - # FUTURE-TODO: probably can be removed in the future since - # these annotations are no longer used in Recording Oracle - job_annotations = _download_job_annotations(logger, annotation_format, jobs) - - if manifest.annotation.type == TaskTypes.image_skeletons_from_boxes.value: - # we'll have to merge annotations ourselves for skeletons - # might want to make this the only behavior in the future - project_annotations_file = None - project_images = None - else: - # escrows with simple task types must have only one project - try: - (project,) = escrow_projects - except ValueError: - raise NotImplementedError( - f"{manifest.annotation.type} is expected to have exactly one project," - f" not {len(escrow_projects)}" - ) - project_annotations_file = _download_project_annotations( - logger, - annotation_format, - project.cvat_id, - ) - project_images = cvat_service.get_project_images(session, project.cvat_id) - - resulting_annotations_file_desc = FileDescriptor( - filename=RESULTING_ANNOTATIONS_FILE, - file=project_annotations_file, - ) - - logger.debug(f"Postprocessing results for the escrow ({escrow_address=})") - - postprocess_annotations( - escrow_address=escrow_address, - chain_id=chain_id, - annotations=( - resulting_annotations_file_desc, - *job_annotations.values(), - ), - merged_annotation=resulting_annotations_file_desc, - manifest=manifest, - project_images=project_images, - ) - logger.debug(f"Uploading annotations for the escrow ({escrow_address=})") - - _upload_escrow_results( - files=( - resulting_annotations_file_desc, - *job_annotations.values(), - prepare_annotation_metafile(jobs=jobs), - ), - chain_id=chain_id, - escrow_address=escrow_address, - ) - - oracle_db_service.outbox.create_webhook( - session, - escrow_address=escrow_address, - chain_id=chain_id, - type=OracleWebhookTypes.recording_oracle, - event=ExchangeOracleEvent_EscrowRecorded(), - ) - - logger.info( - f"The escrow ({escrow_address=}) is completed, " - f"resulting annotations are processed successfully" - ) - - -def _request_escrow_validation( - logger: logging.Logger, - chain_id: int, - escrow_address: str, - escrow_projects: Sequence[Project], - session: Session, -) -> None: - # TODO: lock escrow once there is such a DB object - assert escrow_projects # unused, but must hold a lock - - # TODO: maybe upload only current iteration jobs - jobs = cvat_service.get_jobs_by_escrow_address(session, escrow_address, chain_id) - - logger.debug(f"Uploading assignment info for the escrow ({escrow_address=})") - - _upload_escrow_results( - files=[prepare_annotation_metafile(jobs=jobs)], - chain_id=chain_id, - escrow_address=escrow_address, - ) - - oracle_db_service.outbox.create_webhook( - session, - escrow_address=escrow_address, - chain_id=chain_id, - type=OracleWebhookTypes.recording_oracle, - event=ExchangeOracleEvent_JobFinished(), - ) - - logger.info(f"The escrow ({escrow_address=}) annotation is finished, " f"requesting validation") - - -def _upload_escrow_results( - files: Sequence[FileDescriptor], chain_id: int, escrow_address: str -) -> None: - storage_info = BucketAccessInfo.parse_obj(StorageConfig) - storage_client = cloud_service.make_client(storage_info) - - # always update annotation meta and resulting annotations files - # to have actual data for the current epoch - existing_storage_files = set( - storage_client.list_files( - prefix=compose_results_bucket_filename(escrow_address, chain_id, ""), - trim_prefix=True, - ) - ) - {ANNOTATION_RESULTS_METAFILE_NAME, RESULTING_ANNOTATIONS_FILE} - - for file_descriptor in files: - if file_descriptor.filename in existing_storage_files: - continue - - storage_client.create_file( - compose_results_bucket_filename( - escrow_address, - chain_id, - file_descriptor.filename, - ), - file_descriptor.file.read(), - ) - - -def _download_project_annotations( - logger: logging.Logger, annotation_format: str, project_cvat_id: int -) -> io.RawIOBase: - export_ids = [] - - def _request_export(cvat_id: int): - request_id = cvat_api.request_project_annotations(cvat_id, format_name=annotation_format) - export_ids.append(request_id) - return request_id - - def _download_export(): - request_id = export_ids.pop(0) - return cvat_api.get_project_annotations(request_id=request_id) - - _request_export(project_cvat_id) - - return _download_with_retries( - logger, - download_callback=_download_export, - retry_callback=partial(_request_export, project_cvat_id), - ) - - -def _download_job_annotations( - logger: logging.Logger, annotation_format: str, jobs: Sequence[Job] -) -> dict[int, FileDescriptor]: - # Collect raw annotations from CVAT, validate and convert them - # into a recording oracle suitable format - job_annotations: dict[int, FileDescriptor] = {} - - export_ids: list[tuple[Job, str]] = [] - - def _request_export(job: Job): - request_id = cvat_api.request_job_annotations(job.cvat_id, format_name=annotation_format) - export_ids.append((job, request_id)) - return request_id - - for jobs_batch in take_by( - jobs, count=CronConfig.track_completed_escrows_jobs_downloading_batch_size - ): - # Request jobs before downloading for faster batch downloading - for job in jobs_batch: - _request_export(job) - - while export_ids: - (job, request_id) = export_ids.pop(0) - - job_annotations_file = _download_with_retries( - logger, - download_callback=partial(cvat_api.get_job_annotations, request_id=request_id), - retry_callback=partial(_request_export, job), - ) - - job_assignment = job.latest_assignment - job_annotations[job.cvat_id] = FileDescriptor( - filename="project_{}-task_{}-job_{}-user_{}-assignment_{}.zip".format( - job.cvat_project_id, - job.cvat_task_id, - job.cvat_id, - job_assignment.user.cvat_id, - job_assignment.id, - ), - file=job_annotations_file, - ) - - return job_annotations - - -def _handle_escrow_validation( - logger: logging.Logger, - session: Session, - escrow_address: str, - chain_id: int, -): - validate_escrow(chain_id, escrow_address) - - escrow_projects = cvat_service.get_projects_by_escrow_address( - session, escrow_address, limit=None, for_update=ForUpdateParams(nowait=True) - ) - _request_escrow_validation(logger, chain_id, escrow_address, escrow_projects, session) - - -def handle_escrows_validations(logger: logging.Logger) -> None: - for _ in range(CronConfig.track_escrow_validations_chunk_size): - with SessionLocal.begin() as session: - # Need to work in separate transactions for each escrow, as a failing DB call - # (e.g. a failed lock attempt) will abort the transaction. A nested transaction - # can also be used for handling this. - escrow_validation = cvat_service.lock_escrow_for_validation(session) - if not escrow_validation: - break - - escrow_address = escrow_validation.escrow_address - chain_id = escrow_validation.chain_id - - update_kwargs = {} - try: - _handle_escrow_validation(logger, session, escrow_address, chain_id) - - # Change status so validation won't be attempted again - update_kwargs["status"] = EscrowValidationStatuses.in_progress - except Exception as e: - logger.exception(e) - - cvat_service.update_escrow_validation( - session, - escrow_address=escrow_address, - chain_id=chain_id, - increase_attempts=True, # increase attempts always to allow escrow rotation - **update_kwargs, - ) - - -def handle_escrow_export( - logger: logging.Logger, - session: Session, - escrow_address: str, - chain_id: int, -): - validate_escrow(chain_id, escrow_address) - - escrow_projects = cvat_service.get_projects_by_escrow_address( - session, escrow_address, limit=None, for_update=ForUpdateParams(nowait=True) - ) - _export_escrow_annotations(logger, chain_id, escrow_address, escrow_projects, session) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/__init__.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/__init__.py new file mode 100644 index 0000000000..3e77c15b70 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/__init__.py @@ -0,0 +1,3 @@ +from src.handlers.job_completion.handlers import handle_escrows_validations + +__all__ = ["handle_escrows_validations"] diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/factory.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/factory.py new file mode 100644 index 0000000000..7725248a78 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/factory.py @@ -0,0 +1,43 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +from src.chain.escrow import get_escrow_manifest +from src.core.manifest import get_manifest_task_type, parse_manifest +from src.core.tasks import TaskTypes +from src.handlers.job_completion.validators.audio import AudioTranscriptionJobValidator +from src.handlers.job_completion.validators.base import JobValidator + +if TYPE_CHECKING: + from collections.abc import Sequence + + from sqlalchemy.orm import Session + + from src.models.cvat import Project + + +def create_validator( + escrow_address: str, + chain_id: int, + session: Session, + escrow_projects: Sequence[Project], +) -> JobValidator: + manifest = parse_manifest(get_escrow_manifest(chain_id, escrow_address)) + task_type = get_manifest_task_type(manifest) + + match task_type: + case TaskTypes.audio_transcription: + validator_cls = AudioTranscriptionJobValidator + case ( + TaskTypes.image_label_binary + | TaskTypes.image_boxes + | TaskTypes.image_polygons + | TaskTypes.image_points + | TaskTypes.image_boxes_from_points + | TaskTypes.image_skeletons_from_boxes + ): + validator_cls = JobValidator + case _: + raise Exception(f"Unsupported task type {task_type}") + + return validator_cls(escrow_address, chain_id, session, escrow_projects) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/handlers.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/handlers.py new file mode 100644 index 0000000000..e0cff6864f --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/handlers.py @@ -0,0 +1,75 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +import src.services.cvat as cvat_service +from src.chain.escrow import validate_escrow +from src.core.config import CronConfig +from src.core.types import EscrowValidationStatuses +from src.db import SessionLocal +from src.db.utils import ForUpdateParams +from src.handlers.job_completion.factory import create_validator +from src.utils.logging import get_function_logger + +if TYPE_CHECKING: + import logging + + from sqlalchemy.orm import Session + + +def _handle_escrow_validation( + logger: logging.Logger, + session: Session, + escrow_address: str, + chain_id: int, +) -> None: + logger = get_function_logger(logger) + + validate_escrow(chain_id, escrow_address) + + # TODO: lock the escrow once there is such a DB object + escrow_projects = cvat_service.get_projects_by_escrow_address( + session, escrow_address, limit=None, for_update=ForUpdateParams(nowait=True) + ) + if not escrow_projects: + raise AssertionError(f"Can't find projects for escrow '{escrow_address}'") + + with create_validator( + escrow_address=escrow_address, + chain_id=chain_id, + session=session, + escrow_projects=escrow_projects, + ) as validator: + validator.set_logger(logger) + validator.validate() + + +def handle_escrows_validations(logger: logging.Logger) -> None: + for _ in range(CronConfig.track_escrow_validations_chunk_size): + with SessionLocal.begin() as session: + # Need to work in separate transactions for each escrow, as a failing DB call + # (e.g. a failed lock attempt) will abort the transaction. A nested transaction + # can also be used for handling this. + escrow_validation = cvat_service.lock_escrow_for_validation(session) + if not escrow_validation: + break + + escrow_address = escrow_validation.escrow_address + chain_id = escrow_validation.chain_id + + update_kwargs = {} + try: + _handle_escrow_validation(logger, session, escrow_address, chain_id) + + # Change status so validation won't be attempted again + update_kwargs["status"] = EscrowValidationStatuses.in_progress + except Exception as e: + logger.exception(e) + + cvat_service.update_escrow_validation( + session, + escrow_address=escrow_address, + chain_id=chain_id, + increase_attempts=True, # increase attempts always to allow escrow rotation + **update_kwargs, + ) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/__init__.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py new file mode 100644 index 0000000000..25e4cac658 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py @@ -0,0 +1,58 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +import src.services.cvat as cvat_service +from src.handlers.job_completion.validators.base import JobValidator +from src.handlers.job_export.downloading import download_job_annotations +from src.handlers.job_export.results import ( + FileDescriptor, + prepare_annotation_metafile, + upload_escrow_results, +) + +if TYPE_CHECKING: + from src.models.cvat import Job + +CVAT_AUDIO_EXPORT_FORMAT = "Generic TSV 1.0" + +# subdir (in the escrow results dir) for the per-assignment transcription TSVs +ASSIGNMENTS_DIR = "assignments" + + +class AudioTranscriptionJobValidator(JobValidator): + def _save_annotation_results(self) -> None: + assert self.escrow_projects # unused, but must hold a lock + + cvat_jobs = cvat_service.get_jobs_by_escrow_address( + self.session, self.escrow_address, self.chain_id + ) + + self.logger.debug( + f"Downloading annotations for the escrow " + f"(escrow_address={self.escrow_address})" + ) + cvat_job_annotations = download_job_annotations( + self.logger, CVAT_AUDIO_EXPORT_FORMAT, cvat_jobs, expect_zip=False + ) + + result_files: list[FileDescriptor] = [ + self._make_annotation_descriptor(job, cvat_job_annotations[job.cvat_id]) + for job in cvat_jobs + ] + result_files.append(prepare_annotation_metafile(jobs=cvat_jobs)) + + self.logger.debug( + f"Recording annotations for the escrow " + f"(escrow_address={self.escrow_address})" + ) + upload_escrow_results( + files=result_files, chain_id=self.chain_id, escrow_address=self.escrow_address + ) + + def _make_annotation_descriptor(self, job: Job, annotations: FileDescriptor) -> FileDescriptor: + assignment = job.latest_assignment + return FileDescriptor( + filename=f"{ASSIGNMENTS_DIR}/{job.cvat_id}-{assignment.id}.tsv", + file=annotations.file, + ) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/base.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/base.py new file mode 100644 index 0000000000..a82a93d76a --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/base.py @@ -0,0 +1,81 @@ +from __future__ import annotations + +from contextlib import ExitStack +from typing import TYPE_CHECKING + +import src.services.cvat as cvat_service +import src.services.webhook as oracle_db_service +from src.core.oracle_events import ExchangeOracleEvent_JobFinished +from src.core.types import OracleWebhookTypes +from src.handlers.job_export.results import prepare_annotation_metafile, upload_escrow_results +from src.utils.logging import NullLogger + +if TYPE_CHECKING: + from collections.abc import Sequence + from logging import Logger + + from sqlalchemy.orm import Session + + from src.handlers.job_export.results import FileDescriptor + from src.models.cvat import Project + + +class JobValidator: + def __init__( + self, + escrow_address: str, + chain_id: int, + session: Session, + escrow_projects: Sequence[Project], + ) -> None: + self.exit_stack = ExitStack() + self.escrow_address = escrow_address + self.chain_id = chain_id + self.session = session + self.escrow_projects = escrow_projects + + self.logger: Logger = NullLogger() + + def __enter__(self): + return self + + def __exit__(self, *args, **kwargs): + self.close() + + def close(self): + self.exit_stack.close() + + def set_logger(self, logger: Logger): + self.logger = logger + return self + + def validate(self) -> None: + self._save_annotation_results() + self._notify() + + def _save_annotation_results(self) -> None: + # TODO: maybe upload only current iteration jobs + jobs = cvat_service.get_jobs_by_escrow_address( + self.session, self.escrow_address, self.chain_id + ) + result_files: list[FileDescriptor] = [prepare_annotation_metafile(jobs=jobs)] + + self.logger.debug( + f"Uploading assignment info for the escrow (escrow_address={self.escrow_address})" + ) + upload_escrow_results( + files=result_files, chain_id=self.chain_id, escrow_address=self.escrow_address + ) + + def _notify(self) -> None: + oracle_db_service.outbox.create_webhook( + self.session, + escrow_address=self.escrow_address, + chain_id=self.chain_id, + type=OracleWebhookTypes.recording_oracle, + event=ExchangeOracleEvent_JobFinished(), + ) + self.logger.info( + f"The escrow (escrow_address={self.escrow_address}) annotation is finished, " + "requesting validation" + ) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py index 3b35d4161e..7d9f362921 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py @@ -1,9 +1,7 @@ from __future__ import annotations -from typing import cast - from src.chain.escrow import get_escrow_manifest -from src.core import manifest as manifest_utils +from src.core.manifest import get_manifest_task_type, parse_manifest from src.core.tasks import TaskTypes from src.handlers.job_creation.builders.audio.transcription import AudioTranscriptionTaskBuilder from src.handlers.job_creation.builders.vision.basic import ( @@ -25,16 +23,8 @@ def create_task(escrow_address: str, chain_id: int) -> None: logger = get_function_logger(module_logger) - manifest = manifest_utils.parse_manifest(get_escrow_manifest(chain_id, escrow_address)) - - if manifest.version == 1: - manifest = cast("manifest_utils.v1.JobManifest", manifest) - task_type = manifest.annotation.type - elif manifest.version == 2: - manifest = cast("manifest_utils.v2.JobManifest", manifest) - task_type = manifest.job_type - else: - raise NotImplementedError(f"Unknown manifest version '{manifest.version}'") + manifest = parse_manifest(get_escrow_manifest(chain_id, escrow_address)) + task_type = get_manifest_task_type(manifest) match task_type: case TaskTypes.image_boxes: diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/__init__.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/__init__.py new file mode 100644 index 0000000000..a109200e4e --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/__init__.py @@ -0,0 +1,3 @@ +from src.handlers.job_export.handlers import handle_escrow_export + +__all__ = ["handle_escrow_export"] diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/downloading.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/downloading.py new file mode 100644 index 0000000000..61f96b68ed --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/downloading.py @@ -0,0 +1,123 @@ +"""CVAT annotation downloading for the escrow export flow.""" + +from __future__ import annotations + +from functools import partial +from typing import TYPE_CHECKING + +from datumaro.util import take_by + +import src.cvat.api_calls as cvat_api +from src.core.config import CronConfig +from src.handlers.job_export.results import FileDescriptor + +if TYPE_CHECKING: + import io + import logging + from collections.abc import Callable, Sequence + from typing import Any + + from src.models.cvat import Job + + +def download_with_retries( + logger: logging.Logger, + download_callback: Callable[[], io.RawIOBase], + retry_callback: Callable[[], Any], + *, + max_attempts: int | None = None, +) -> io.RawIOBase: + """ + Sometimes CVAT downloading can fail with the 500 error. + This function tries to repeat the export in such cases. + """ + + if max_attempts is None: + max_attempts = CronConfig.track_completed_escrows_max_downloading_retries + + attempt = 0 + while attempt < max_attempts: + try: + return download_callback() + except cvat_api.exceptions.ApiException as e: + if 500 <= e.status < 600 and attempt + 1 < max_attempts: + attempt += 1 + logger.info(f"Retrying downloading, attempt #{attempt} of {max_attempts}...") + retry_callback() + else: + raise + return None + + +def download_project_annotations( + logger: logging.Logger, annotation_format: str, project_cvat_id: int +) -> io.RawIOBase: + export_ids = [] + + def _request_export(cvat_id: int): + request_id = cvat_api.request_project_annotations(cvat_id, format_name=annotation_format) + export_ids.append(request_id) + return request_id + + def _download_export(): + request_id = export_ids.pop(0) + return cvat_api.get_project_annotations(request_id=request_id) + + _request_export(project_cvat_id) + + return download_with_retries( + logger, + download_callback=_download_export, + retry_callback=partial(_request_export, project_cvat_id), + ) + + +def download_job_annotations( + logger: logging.Logger, + annotation_format: str, + jobs: Sequence[Job], + *, + expect_zip: bool = True, +) -> dict[int, FileDescriptor]: + # Collect raw annotations from CVAT, validate and convert them + # into a recording oracle suitable format + job_annotations: dict[int, FileDescriptor] = {} + + export_ids: list[tuple[Job, str]] = [] + + def _request_export(job: Job): + request_id = cvat_api.request_job_annotations(job.cvat_id, format_name=annotation_format) + export_ids.append((job, request_id)) + return request_id + + for jobs_batch in take_by( + jobs, count=CronConfig.track_completed_escrows_jobs_downloading_batch_size + ): + # Request jobs before downloading for faster batch downloading + for job in jobs_batch: + _request_export(job) + + while export_ids: + (job, request_id) = export_ids.pop(0) + + job_annotations_file = download_with_retries( + logger, + download_callback=partial( + cvat_api.get_job_annotations, request_id=request_id, expect_zip=expect_zip + ), + retry_callback=partial(_request_export, job), + ) + + job_assignment = job.latest_assignment + job_annotations[job.cvat_id] = FileDescriptor( + filename="project_{}-task_{}-job_{}-user_{}-assignment_{}.zip".format( + job.cvat_project_id, + job.cvat_task_id, + job.cvat_id, + job_assignment.user.cvat_id, + job_assignment.id, + ), + file=job_annotations_file, + ) + + return job_annotations diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/__init__.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py new file mode 100644 index 0000000000..622c3f006e --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py @@ -0,0 +1,23 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +from src.handlers.job_export.exporters.base import JobExporter + +if TYPE_CHECKING: + from collections.abc import Sequence + + from sqlalchemy.orm import Session + + from src.models.cvat import Project + + +class AudioTranscriptionJobExporter(JobExporter): + """Export flow for audio_transcription escrows. + + FUTURE-TODO: read the interval (transcription) annotations from the annotation jobs, map placed + regions back to source via the persisted assignments/regions meta, and score against GT (WER). + """ + + def export(self, session: Session, escrow_projects: Sequence[Project]) -> None: + raise NotImplementedError("audio_transcription export is not implemented yet") diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/base.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/base.py new file mode 100644 index 0000000000..fc69656632 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/base.py @@ -0,0 +1,67 @@ +from __future__ import annotations + +from abc import ABCMeta, abstractmethod +from contextlib import ExitStack +from typing import TYPE_CHECKING + +import src.services.webhook as oracle_db_service +from src.core.oracle_events import ExchangeOracleEvent_EscrowRecorded +from src.core.types import OracleWebhookTypes +from src.handlers.job_export.results import upload_escrow_results +from src.utils.logging import NullLogger + +if TYPE_CHECKING: + from collections.abc import Sequence + from logging import Logger + + from sqlalchemy.orm import Session + + from src.core.manifest import ManifestBase + from src.handlers.job_export.results import FileDescriptor + from src.models.cvat import Project + + +class JobExporter(metaclass=ABCMeta): + """ + Base for task-specific escrow annotation exporters. + + Subclasses must implement :meth:`export` + """ + + def __init__(self, manifest: ManifestBase, escrow_address: str, chain_id: int) -> None: + self.exit_stack = ExitStack() + self.manifest = manifest + self.escrow_address = escrow_address + self.chain_id = chain_id + + self.logger: Logger = NullLogger() + + def __enter__(self): + return self + + def __exit__(self, *args, **kwargs): + self.close() + + def close(self): + self.exit_stack.close() + + def set_logger(self, logger: Logger): + self.logger = logger + return self + + @abstractmethod + def export(self, session: Session, escrow_projects: Sequence[Project]) -> None: ... + + def _upload_results(self, files: Sequence[FileDescriptor]) -> None: + upload_escrow_results( + files=files, chain_id=self.chain_id, escrow_address=self.escrow_address + ) + + def _emit_escrow_recorded(self, session: Session) -> None: + oracle_db_service.outbox.create_webhook( + session, + escrow_address=self.escrow_address, + chain_id=self.chain_id, + type=OracleWebhookTypes.recording_oracle, + event=ExchangeOracleEvent_EscrowRecorded(), + ) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/vision.py similarity index 73% rename from packages/examples/cvat/exchange-oracle/src/handlers/job_export.py rename to packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/vision.py index 9abeae929a..646ba6a114 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/vision.py @@ -1,27 +1,49 @@ +"""Image task exporters. + +Each exporter owns both the orchestration (download annotations, upload results, notify the +recording oracle) and its task-specific datumaro postprocessing. ``ImageJobExporter`` holds the +shared export flow + the generic CVAT->datumaro conversion pipeline; per-task subclasses override +only the parts that differ. +""" + +from __future__ import annotations + import io import os import zipfile -from collections.abc import Sequence -from dataclasses import dataclass from tempfile import TemporaryDirectory +from typing import TYPE_CHECKING import datumaro as dm -from datumaro.components.dataset import Dataset import src.core.tasks.boxes_from_points as boxes_from_points_task import src.core.tasks.skeletons_from_boxes as skeletons_from_boxes_task +import src.services.cvat as cvat_service import src.utils.annotations as annotation_utils -from src.core.annotation_meta import ANNOTATION_RESULTS_METAFILE_NAME, AnnotationMeta, JobMeta +from src.core.annotation_meta import RESULTING_ANNOTATIONS_FILE from src.core.config import Config -from src.core.manifest.v1 import JobManifest +from src.core.manifest import get_manifest_task_type from src.core.storage import compose_data_bucket_filename from src.core.tasks import TaskTypes from src.core.tasks.cvat_formats import DM_DATASET_FORMAT_MAPPING -from src.models.cvat import Image, Job +from src.handlers.job_export.downloading import ( + download_job_annotations, + download_project_annotations, +) +from src.handlers.job_export.exporters.base import JobExporter +from src.handlers.job_export.results import FileDescriptor, prepare_annotation_metafile from src.services.cloud import make_client as make_cloud_client from src.services.cloud.utils import BucketAccessInfo from src.utils.zip_archive import extract_zip_archive, write_dir_to_zip_archive +if TYPE_CHECKING: + from collections.abc import Sequence + + from datumaro.components.dataset import Dataset + from sqlalchemy.orm import Session + + from src.models.cvat import Image, Project + CVAT_EXPORT_FORMAT_MAPPING = { TaskTypes.image_label_binary: "CVAT for images 1.1", TaskTypes.image_points: "CVAT for images 1.1", @@ -37,65 +59,114 @@ } -@dataclass -class FileDescriptor: - filename: str - file: io.RawIOBase | None - +class ImageJobExporter(JobExporter): + """Base image exporter: download the single project + per-job annotations, run the datumaro + conversion pipeline, upload the results, and notify the recording oracle.""" -def prepare_annotation_metafile(jobs: list[Job]) -> FileDescriptor: - """ - Prepares a task/project annotation descriptor file with annotator mapping. - """ + def export(self, session: Session, escrow_projects: Sequence[Project]) -> None: + escrow_address = self.escrow_address + chain_id = self.chain_id - meta = AnnotationMeta( - jobs=[ - JobMeta( - job_id=job.cvat_id, - annotator_wallet_address=job.latest_assignment.user_wallet_address, - assignment_id=job.latest_assignment.id, - task_id=job.cvat_task_id, - start_frame=job.start_frame, - stop_frame=job.stop_frame, + escrow_creation = cvat_service.get_escrow_creation_by_escrow_address( + session, escrow_address, chain_id, active=False + ) + if not escrow_creation: + raise AssertionError(f"Can't find escrow creation for escrow '{escrow_address}'") + + jobs = cvat_service.get_jobs_by_escrow_address(session, escrow_address, chain_id) + if len(jobs) != escrow_creation.total_jobs: + raise AssertionError( + f"Unexpected number of jobs fetched for escrow " + f"'{escrow_address}': {len(jobs)}, expected {escrow_creation.total_jobs}" ) - for job in jobs - ] - ) - return FileDescriptor( - ANNOTATION_RESULTS_METAFILE_NAME, file=io.BytesIO(meta.model_dump_json().encode()) - ) + self.logger.debug(f"Downloading results for the escrow ({escrow_address=})") + + annotation_format = self._annotation_format + # FUTURE-TODO: probably can be removed in the future since + # these annotations are no longer used in Recording Oracle + job_annotations = download_job_annotations(self.logger, annotation_format, jobs) + + project_annotations_file, project_images = self._collect_project_annotations( + session, escrow_projects, annotation_format + ) + + resulting_annotations_file_desc = FileDescriptor( + filename=RESULTING_ANNOTATIONS_FILE, + file=project_annotations_file, + ) + annotations = (resulting_annotations_file_desc, *job_annotations.values()) + + self.logger.debug(f"Postprocessing results for the escrow ({escrow_address=})") + + self._merged_annotation_file = resulting_annotations_file_desc + self._project_images = project_images + self._prepare() + self._postprocess(annotations) + + self.logger.debug(f"Uploading annotations for the escrow ({escrow_address=})") + + self._upload_results(files=(*annotations, prepare_annotation_metafile(jobs=jobs))) + + self._emit_escrow_recorded(session) + self.logger.info( + f"The escrow ({escrow_address=}) is completed, " + f"resulting annotations are processed successfully" + ) + + # -- formats ----------------------------------------------------------- # + + @property + def _task_type(self) -> TaskTypes: + return get_manifest_task_type(self.manifest) + + @property + def _annotation_format(self) -> str: + return CVAT_EXPORT_FORMAT_MAPPING[self._task_type] + + @property + def _input_format(self) -> str: + return CVAT_EXPORT_FORMAT_TO_DM_MAPPING[self._annotation_format] -class _TaskProcessor: - def __init__( + @property + def _output_format(self) -> str: + return DM_DATASET_FORMAT_MAPPING[self._task_type] + + # -- project annotations ----------------------------------------------- # + + def _collect_project_annotations( self, - escrow_address: str, - chain_id: int, - annotations: Sequence[FileDescriptor], - merged_annotation: FileDescriptor, - *, - manifest: JobManifest, - project_images: list[Image], - ) -> None: - self.escrow_address = escrow_address - self.chain_id = chain_id - self.annotation_files = annotations - self.merged_annotation_file = merged_annotation - self.manifest = manifest - self.project_images = project_images - - self.input_format = CVAT_EXPORT_FORMAT_TO_DM_MAPPING[ - CVAT_EXPORT_FORMAT_MAPPING[manifest.annotation.type] - ] - self.output_format = DM_DATASET_FORMAT_MAPPING[manifest.annotation.type] + session: Session, + escrow_projects: Sequence[Project], + annotation_format: str, + ) -> tuple[io.RawIOBase | None, list[Image] | None]: + # escrows with simple task types must have only one project + try: + (project,) = escrow_projects + except ValueError: + raise NotImplementedError( + f"{self._task_type} is expected to have exactly one project," + f" not {len(escrow_projects)}" + ) - def _is_merged_dataset(self, ann_descriptor: FileDescriptor) -> bool: - return ann_descriptor == self.merged_annotation_file + project_annotations_file = download_project_annotations( + self.logger, annotation_format, project.cvat_id + ) + project_images = cvat_service.get_project_images(session, project.cvat_id) + return project_annotations_file, project_images + + # -- datumaro conversion pipeline -------------------------------------- # + + def _prepare(self) -> None: + """Download any task-specific meta needed for postprocessing (default: nothing).""" - def process(self): + def _postprocess(self, annotations: Sequence[FileDescriptor]) -> None: + self._run_pipeline(annotations) + + def _run_pipeline(self, annotations: Sequence[FileDescriptor]) -> None: with TemporaryDirectory() as tempdir: - for ann_descriptor in self.annotation_files: + for ann_descriptor in annotations: if not zipfile.is_zipfile(ann_descriptor.file): raise ValueError("Annotation files must be zip files") ann_descriptor.file.seek(0) @@ -119,6 +190,9 @@ def process(self): ann_descriptor.file = converted_dataset_archive + def _is_merged_dataset(self, ann_descriptor: FileDescriptor) -> bool: + return ann_descriptor == self._merged_annotation_file + def _process_annotation_file( self, ann_descriptor: FileDescriptor, input_dir: str, output_dir: str ): @@ -127,10 +201,10 @@ def _process_annotation_file( self._export_dataset(output_dataset, output_dir) def _parse_dataset(self, ann_descriptor: FileDescriptor, dataset_dir: str) -> dm.Dataset: # noqa: ARG002 - return dm.Dataset.import_from(dataset_dir, self.input_format) + return dm.Dataset.import_from(dataset_dir, self._input_format) def _export_dataset(self, dataset: dm.Dataset, output_dir: str): - dataset.export(output_dir, self.output_format, save_media=False) + dataset.export(output_dir, self._output_format, save_media=False) def _process_dataset( self, dataset: dm.Dataset, *, ann_descriptor: FileDescriptor @@ -149,23 +223,23 @@ def _process_dataset( def _process_merged_dataset(self, input_dataset: dm.Dataset) -> dm.Dataset: return annotation_utils.remove_duplicated_gt_frames( input_dataset, - known_frames=[image.filename for image in self.project_images], + known_frames=[image.filename for image in self._project_images], ) -class _LabelsTaskProcessor(_TaskProcessor): +class LabelsJobExporter(ImageJobExporter): pass -class _BoxesTaskProcessor(_TaskProcessor): +class BoxesJobExporter(ImageJobExporter): pass -class _PolygonsTaskProcessor(_TaskProcessor): +class PolygonsJobExporter(ImageJobExporter): pass -class _PointsTaskProcessor(_TaskProcessor): +class PointsJobExporter(ImageJobExporter): def _parse_dataset(self, ann_descriptor: FileDescriptor, dataset_dir: str) -> Dataset: annotation_utils.prepare_cvat_annotations_for_dm(dataset_dir) return super()._parse_dataset(ann_descriptor, dataset_dir) @@ -182,10 +256,8 @@ def _process_dataset(self, dataset: Dataset, *, ann_descriptor: FileDescriptor) return super()._process_dataset(dataset, ann_descriptor=ann_descriptor) -class _BoxesFromPointsTaskProcessor(_TaskProcessor): - def __init__(self, *args, **kwargs) -> None: - super().__init__(*args, **kwargs) - +class BoxesFromPointsJobExporter(ImageJobExporter): + def _prepare(self) -> None: roi_filenames, roi_infos, points_dataset = self._download_task_meta() self.points_dataset = points_dataset @@ -288,10 +360,21 @@ def _process_merged_dataset(self, input_dataset: Dataset) -> Dataset: return merged_sample_dataset -class _SkeletonsFromBoxesTaskProcessor(_TaskProcessor): - def __init__(self, *args, **kwargs) -> None: - super().__init__(*args, **kwargs) +class SkeletonsJobExporter(ImageJobExporter): + """image_skeletons_from_boxes: annotations are accumulated into a merged dataset from the + per-job files here, so there is no single project export to download.""" + def _collect_project_annotations( + self, + session: Session, + escrow_projects: Sequence[Project], + annotation_format: str, + ) -> tuple[io.RawIOBase | None, list[Image] | None]: + assert escrow_projects # unused, but must hold the lock + del session, annotation_format # the jobs are self-merged, no project export + return None, None + + def _prepare(self) -> None: roi_filenames, roi_infos, boxes_dataset, job_label_mapping = self._download_task_meta() self.boxes_dataset = boxes_dataset @@ -559,22 +642,19 @@ def _process_dataset(self, dataset: Dataset, *, ann_descriptor: FileDescriptor) def _process_merged_dataset(self, merged_dataset: Dataset) -> Dataset: return merged_dataset - def process(self): - assert self.merged_annotation_file.file is None + def _postprocess(self, annotations: Sequence[FileDescriptor]) -> None: + assert self._merged_annotation_file.file is None # Accumulate points from separate job annotations, then export the resulting dataset self._init_merged_dataset() - self.annotation_files = [ - fd for fd in self.annotation_files if not self._is_merged_dataset(fd) - ] - super().process() - self.annotation_files.append(self.merged_annotation_file) + job_files = [fd for fd in annotations if not self._is_merged_dataset(fd)] + self._run_pipeline(job_files) with TemporaryDirectory() as tempdir: export_dir = os.path.join( tempdir, - os.path.splitext(os.path.basename(self.merged_annotation_file.filename))[0] + os.path.splitext(os.path.basename(self._merged_annotation_file.filename))[0] + "_conv", ) @@ -585,37 +665,4 @@ def process(self): write_dir_to_zip_archive(export_dir, converted_dataset_archive) converted_dataset_archive.seek(0) - self.merged_annotation_file.file = converted_dataset_archive - - -def postprocess_annotations( - escrow_address: str, - chain_id: int, - annotations: Sequence[FileDescriptor], - merged_annotation: FileDescriptor, - *, - manifest: JobManifest, - project_images: list[Image], -) -> None: - """ - Processes annotations and updates the files list inplace - """ - processor_classes: dict[TaskTypes, type[_TaskProcessor]] = { - TaskTypes.image_label_binary: _LabelsTaskProcessor, - TaskTypes.image_boxes: _BoxesTaskProcessor, - TaskTypes.image_polygons: _PolygonsTaskProcessor, - TaskTypes.image_points: _PointsTaskProcessor, - TaskTypes.image_boxes_from_points: _BoxesFromPointsTaskProcessor, - TaskTypes.image_skeletons_from_boxes: _SkeletonsFromBoxesTaskProcessor, - } - - task_type = manifest.annotation.type - processor = processor_classes[task_type]( - escrow_address=escrow_address, - chain_id=chain_id, - annotations=annotations, - merged_annotation=merged_annotation, - manifest=manifest, - project_images=project_images, - ) - processor.process() + self._merged_annotation_file.file = converted_dataset_archive diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/factory.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/factory.py new file mode 100644 index 0000000000..0e71f63c4d --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/factory.py @@ -0,0 +1,43 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +from src.core.manifest import get_manifest_task_type +from src.core.tasks import TaskTypes +from src.handlers.job_export.exporters.audio import AudioTranscriptionJobExporter +from src.handlers.job_export.exporters.vision import ( + BoxesFromPointsJobExporter, + BoxesJobExporter, + LabelsJobExporter, + PointsJobExporter, + PolygonsJobExporter, + SkeletonsJobExporter, +) + +if TYPE_CHECKING: + from src.core.manifest import ManifestBase + from src.handlers.job_export.exporters.base import JobExporter + + +def create_exporter(manifest: ManifestBase, escrow_address: str, chain_id: int) -> JobExporter: + task_type = get_manifest_task_type(manifest) + + match task_type: + case TaskTypes.image_label_binary: + exporter_type = LabelsJobExporter + case TaskTypes.image_boxes: + exporter_type = BoxesJobExporter + case TaskTypes.image_polygons: + exporter_type = PolygonsJobExporter + case TaskTypes.image_points: + exporter_type = PointsJobExporter + case TaskTypes.image_boxes_from_points: + exporter_type = BoxesFromPointsJobExporter + case TaskTypes.image_skeletons_from_boxes: + exporter_type = SkeletonsJobExporter + case TaskTypes.audio_transcription: + exporter_type = AudioTranscriptionJobExporter + case _: + raise Exception(f"Unsupported task type {task_type}") + + return exporter_type(manifest, escrow_address, chain_id) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/handlers.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/handlers.py new file mode 100644 index 0000000000..6fcb3dc9e7 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/handlers.py @@ -0,0 +1,33 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +import src.services.cvat as cvat_service +from src.chain.escrow import get_escrow_manifest, validate_escrow +from src.core.manifest import parse_manifest +from src.db.utils import ForUpdateParams +from src.handlers.job_export.factory import create_exporter + +if TYPE_CHECKING: + import logging + + from sqlalchemy.orm import Session + + +def handle_escrow_export( + logger: logging.Logger, + session: Session, + escrow_address: str, + chain_id: int, +) -> None: + validate_escrow(chain_id, escrow_address) + + escrow_projects = cvat_service.get_projects_by_escrow_address( + session, escrow_address, limit=None, for_update=ForUpdateParams(nowait=True) + ) + + manifest = parse_manifest(get_escrow_manifest(chain_id, escrow_address)) + + with create_exporter(manifest, escrow_address, chain_id) as exporter: + exporter.set_logger(logger) + exporter.export(session, escrow_projects) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/results.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/results.py new file mode 100644 index 0000000000..05ef3492ea --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/results.py @@ -0,0 +1,82 @@ +"""Shared result/metafile primitives for escrow export and validation flows.""" + +from __future__ import annotations + +import io +from dataclasses import dataclass +from typing import TYPE_CHECKING + +import src.services.cloud as cloud_service +from src.core.annotation_meta import ( + ANNOTATION_RESULTS_METAFILE_NAME, + RESULTING_ANNOTATIONS_FILE, + AnnotationMeta, + JobMeta, +) +from src.core.config import StorageConfig +from src.core.storage import compose_results_bucket_filename +from src.services.cloud.types import BucketAccessInfo + +if TYPE_CHECKING: + from collections.abc import Sequence + + from src.models.cvat import Job + + +@dataclass +class FileDescriptor: + filename: str + file: io.RawIOBase | None + + +def prepare_annotation_metafile(jobs: list[Job]) -> FileDescriptor: + """ + Prepares a task/project annotation descriptor file with annotator mapping. + """ + + meta = AnnotationMeta( + jobs=[ + JobMeta( + job_id=job.cvat_id, + annotator_wallet_address=job.latest_assignment.user_wallet_address, + assignment_id=job.latest_assignment.id, + task_id=job.cvat_task_id, + start_frame=job.start_frame, + stop_frame=job.stop_frame, + ) + for job in jobs + ] + ) + + return FileDescriptor( + ANNOTATION_RESULTS_METAFILE_NAME, file=io.BytesIO(meta.model_dump_json().encode()) + ) + + +def upload_escrow_results( + files: Sequence[FileDescriptor], chain_id: int, escrow_address: str +) -> None: + storage_info = BucketAccessInfo.parse_obj(StorageConfig) + storage_client = cloud_service.make_client(storage_info) + + # always update annotation meta and resulting annotations files + # to have actual data for the current epoch + existing_storage_files = set( + storage_client.list_files( + prefix=compose_results_bucket_filename(escrow_address, chain_id, ""), + trim_prefix=True, + ) + ) - {ANNOTATION_RESULTS_METAFILE_NAME, RESULTING_ANNOTATIONS_FILE} + + for file_descriptor in files: + if file_descriptor.filename in existing_storage_files: + continue + + storage_client.create_file( + compose_results_bucket_filename( + escrow_address, + chain_id, + file_descriptor.filename, + ), + file_descriptor.file.read(), + ) diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py index 9cc86c5d64..18e7e422b3 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py @@ -26,7 +26,7 @@ from src.crons import track_completed_escrows from src.crons.cvat.state_trackers import track_escrow_validations from src.db import SessionLocal -from src.handlers.job_completion import handle_escrow_export +from src.handlers.job_export import handle_escrow_export from src.models.cvat import ( Assignment, EscrowCreation, @@ -263,8 +263,8 @@ def test_can_request_validation(self): self.session.commit() with ( - patch("src.handlers.job_completion.validate_escrow"), - patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, + patch("src.handlers.job_completion.handlers.validate_escrow"), + patch("src.handlers.job_export.results.cloud_service") as mock_cloud_service, ): mock_storage_client = Mock() mock_storage_client.create_file = Mock() @@ -373,8 +373,8 @@ def test_request_validation_error_in_file_uploading_increases_attempts(self): self.session.commit() with ( - patch("src.handlers.job_completion.validate_escrow"), - patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, + patch("src.handlers.job_completion.handlers.validate_escrow"), + patch("src.handlers.job_export.results.cloud_service") as mock_cloud_service, patch("src.services.cloud.make_client"), ): mock_cloud_service.make_client.return_value.create_file.side_effect = _TestException() @@ -466,8 +466,8 @@ def test_can_request_validation_multiple_projects_per_escrow_all_completed(self) self.session.commit() with ( - patch("src.handlers.job_completion.validate_escrow"), - patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, + patch("src.handlers.job_completion.handlers.validate_escrow"), + patch("src.handlers.job_export.results.cloud_service") as mock_cloud_service, ): mock_storage_client = Mock() mock_storage_client.create_file = Mock() @@ -573,10 +573,10 @@ def test_can_export_escrow(self): with ( open("tests/assets/manifests/manifest.json") as data, - patch("src.handlers.job_completion.get_escrow_manifest") as mock_get_manifest, - patch("src.handlers.job_completion.validate_escrow"), - patch("src.handlers.job_completion.cvat_api") as mock_cvat_api, - patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, + patch("src.handlers.job_export.handlers.get_escrow_manifest") as mock_get_manifest, + patch("src.handlers.job_export.handlers.validate_escrow"), + patch("src.handlers.job_export.downloading.cvat_api") as mock_cvat_api, + patch("src.handlers.job_export.results.cloud_service") as mock_cloud_service, ): manifest = json.load(data) mock_get_manifest.return_value = manifest @@ -701,12 +701,12 @@ def test_can_export_escrow_error_getting_annotations(self): with ( open("tests/assets/manifests/manifest.json") as data, - patch("src.handlers.job_completion.get_escrow_manifest") as mock_get_manifest, - patch("src.handlers.job_completion.validate_escrow"), + patch("src.handlers.job_export.handlers.get_escrow_manifest") as mock_get_manifest, + patch("src.handlers.job_export.handlers.validate_escrow"), patch( - "src.handlers.job_completion.cvat_api.request_job_annotations" + "src.handlers.job_export.downloading.cvat_api.request_job_annotations" ) as mock_request_job_annotations, - patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, + patch("src.handlers.job_export.results.cloud_service") as mock_cloud_service, ): manifest = json.load(data) mock_get_manifest.return_value = manifest @@ -824,10 +824,10 @@ def test_can_export_escrow_error_uploading_files(self): with ( open("tests/assets/manifests/manifest.json") as data, - patch("src.handlers.job_completion.get_escrow_manifest") as mock_get_manifest, - patch("src.handlers.job_completion.validate_escrow"), - patch("src.handlers.job_completion.cvat_api") as mock_cvat_api, - patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, + patch("src.handlers.job_export.handlers.get_escrow_manifest") as mock_get_manifest, + patch("src.handlers.job_export.handlers.validate_escrow"), + patch("src.handlers.job_export.downloading.cvat_api") as mock_cvat_api, + patch("src.handlers.job_export.results.cloud_service") as mock_cloud_service, patch("src.services.cloud.make_client"), ): manifest = json.load(data) @@ -949,12 +949,14 @@ def test_can_export_multiple_projects_per_escrow(self): with ( open("tests/assets/manifests/manifest.json") as manifest_data, - patch("src.handlers.job_completion.get_escrow_manifest") as mock_get_manifest, - patch("src.handlers.job_completion.validate_escrow"), - patch("src.handlers.job_completion.cvat_api") as mock_cvat_api, - patch("src.handlers.job_completion.cloud_service") as mock_cloud_service, + patch("src.handlers.job_export.handlers.get_escrow_manifest") as mock_get_manifest, + patch("src.handlers.job_export.handlers.validate_escrow"), + patch("src.handlers.job_export.downloading.cvat_api") as mock_cvat_api, + patch("src.handlers.job_export.results.cloud_service") as mock_cloud_service, + patch("src.handlers.job_export.exporters.vision.SkeletonsJobExporter._prepare"), patch( - "src.handlers.job_completion.postprocess_annotations" + "src.handlers.job_export.exporters.vision.SkeletonsJobExporter._postprocess", + autospec=True, ) as mock_postprocess_annotations, ): manifest = json.load(manifest_data) @@ -989,16 +991,8 @@ def _fake_get_annotations(*args, **kwargs): mock_cvat_api.get_job_annotations.side_effect = _fake_get_annotations mock_cvat_api.get_project_annotations.side_effect = _fake_get_annotations - def _fake_postprocess_annotations( - escrow_address, - chain_id, - annotations, - merged_annotation, - *, - manifest, - project_images, - ): - merged_annotation.file = io.BytesIO() + def _fake_postprocess_annotations(self, annotations): + self._merged_annotation_file.file = io.BytesIO() mock_postprocess_annotations.side_effect = _fake_postprocess_annotations From eaff5aba8b81a82f8c8563c86cd8dcef6a35322e Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Mon, 6 Jul 2026 19:30:52 +0300 Subject: [PATCH 19/53] Add audio transcription export --- .../core/tasks/audio_transcription/meta.py | 39 ++++- .../exchange-oracle/src/cvat/api_calls.py | 20 ++- .../src/handlers/job_completion/factory.py | 13 +- .../src/handlers/job_completion/handlers.py | 6 +- .../job_completion/validators/audio.py | 5 +- .../builders/audio/transcription.py | 34 +--- .../src/handlers/job_creation/factory.py | 2 +- .../src/handlers/job_export/downloading.py | 10 +- .../handlers/job_export/exporters/audio.py | 147 ++++++++++++++++-- .../src/handlers/job_export/exporters/base.py | 23 +-- .../handlers/job_export/exporters/vision.py | 36 ++--- .../src/handlers/job_export/factory.py | 17 +- .../src/handlers/job_export/handlers.py | 10 +- 13 files changed, 253 insertions(+), 109 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py index c4c5b18b23..c77df2c7c4 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py @@ -7,16 +7,49 @@ from __future__ import annotations +import time +from datetime import timedelta from enum import Enum -from typing import TYPE_CHECKING from attrs import Factory, frozen from datumaro.util import dump_json, parse_json from src.utils.enums import BetterEnumMeta -if TYPE_CHECKING: - from datetime import timedelta +CVAT_EXPORT_FORMAT = "Generic TSV 1.0" + + +def parse_time(value: str) -> timedelta: + """Parse an ``H:MM:SS(.ffffff)`` timestamp (as used in the region/GT TSVs).""" + for fmt_string in ("%H:%M:%S.%f", "%H:%M:%S"): + try: + parsed_time = time.strptime(value, fmt_string) + if fmt_string.endswith(".%f"): + # time.strptime drops sub-second precision, so recover it from the raw string. + frac = value.split(".", maxsplit=1)[-1] + microseconds = int(frac.ljust(6, "0")[:6]) + else: + microseconds = 0 + except ValueError: + continue + else: + return timedelta( + hours=parsed_time.tm_hour, + minutes=parsed_time.tm_min, + seconds=parsed_time.tm_sec, + microseconds=microseconds, + ) + + raise ValueError(f"Failed to parse timestamp '{value}'") + + +def format_time(value: timedelta) -> str: + """Render a timedelta as an ``H:MM:SS.ffffff`` timestamp.""" + total = value.total_seconds() + h = int(total // 3600) + m = int((total % 3600) // 60) + s = total - h * 3600 - m * 60 + return f"{h}:{m:02d}:{s:09.6f}" @frozen(kw_only=True) diff --git a/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py b/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py index bfacd03134..67252af867 100644 --- a/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py +++ b/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py @@ -26,6 +26,9 @@ _NOTSET = object() +_PLAIN_FILE_EXPORT_FORMATS = frozenset({"Generic TSV 1.0"}) +"Export formats that return a plain file instead of a zip archive" + class CVATException(Exception): """Indicates that CVAT API returned unexpected response""" @@ -92,7 +95,6 @@ def _get_annotations( *, attempt_interval: int = 5, timeout: int | None = _NOTSET, - expect_zip: bool = True, ) -> io.RawIOBase: """ Downloads annotations. @@ -137,7 +139,10 @@ def _get_annotations( response = api_client.rest_client.GET(request_info.result_url, headers=headers) file_buffer = io.BytesIO(response.data) - if expect_zip: + + # Validate the data received. Most formats return a zip archive, but some return contents + # directly. + if request_info.operation.format not in _PLAIN_FILE_EXPORT_FORMATS: assert zipfile.is_zipfile(file_buffer) file_buffer.seek(0) @@ -528,26 +533,19 @@ def request_job_annotations(cvat_id: int, format_name: str) -> str: raise -def get_job_annotations( - request_id: str, *, timeout: int | None = _NOTSET, expect_zip: bool = True -) -> io.RawIOBase: +def get_job_annotations(request_id: str, *, timeout: int | None = _NOTSET) -> io.RawIOBase: """ Downloads annotations. The dataset preparation can take some time (e.g. 10 min), so it must be used like this: request_id = request_job_annotations(...): get_job_annotations(request_id, ...) - - Some export formats (e.g. "Generic TSV 1.0") return a plain file instead of a zip archive; - pass ``expect_zip=False`` for those. """ logger = logging.getLogger("app") with get_api_client() as api_client: try: - return _get_annotations( - api_client, request_id=request_id, timeout=timeout, expect_zip=expect_zip - ) + return _get_annotations(api_client, request_id=request_id, timeout=timeout) except exceptions.ApiException as e: logger.exception(f"Exception when calling JobsApi.retrieve_annotations: {e}\n") raise diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/factory.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/factory.py index 7725248a78..f11c00dd27 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/factory.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/factory.py @@ -2,8 +2,7 @@ from typing import TYPE_CHECKING -from src.chain.escrow import get_escrow_manifest -from src.core.manifest import get_manifest_task_type, parse_manifest +from src.core.manifest import ManifestBase, get_manifest_task_type from src.core.tasks import TaskTypes from src.handlers.job_completion.validators.audio import AudioTranscriptionJobValidator from src.handlers.job_completion.validators.base import JobValidator @@ -17,17 +16,17 @@ def create_validator( + manifest: ManifestBase, escrow_address: str, chain_id: int, session: Session, escrow_projects: Sequence[Project], ) -> JobValidator: - manifest = parse_manifest(get_escrow_manifest(chain_id, escrow_address)) task_type = get_manifest_task_type(manifest) match task_type: case TaskTypes.audio_transcription: - validator_cls = AudioTranscriptionJobValidator + validator_type = AudioTranscriptionJobValidator case ( TaskTypes.image_label_binary | TaskTypes.image_boxes @@ -36,8 +35,8 @@ def create_validator( | TaskTypes.image_boxes_from_points | TaskTypes.image_skeletons_from_boxes ): - validator_cls = JobValidator + validator_type = JobValidator case _: - raise Exception(f"Unsupported task type {task_type}") + raise NotADirectoryError(f"Unsupported task type '{task_type}'") - return validator_cls(escrow_address, chain_id, session, escrow_projects) + return validator_type(escrow_address, chain_id, session, escrow_projects) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/handlers.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/handlers.py index e0cff6864f..452d0b97bd 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/handlers.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/handlers.py @@ -3,8 +3,9 @@ from typing import TYPE_CHECKING import src.services.cvat as cvat_service -from src.chain.escrow import validate_escrow +from src.chain.escrow import get_escrow_manifest, validate_escrow from src.core.config import CronConfig +from src.core.manifest import parse_manifest from src.core.types import EscrowValidationStatuses from src.db import SessionLocal from src.db.utils import ForUpdateParams @@ -34,7 +35,10 @@ def _handle_escrow_validation( if not escrow_projects: raise AssertionError(f"Can't find projects for escrow '{escrow_address}'") + manifest = parse_manifest(get_escrow_manifest(chain_id, escrow_address)) + with create_validator( + manifest=manifest, escrow_address=escrow_address, chain_id=chain_id, session=session, diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py index 25e4cac658..f087ffa589 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py @@ -3,6 +3,7 @@ from typing import TYPE_CHECKING import src.services.cvat as cvat_service +from src.core.tasks.audio_transcription.meta import CVAT_EXPORT_FORMAT from src.handlers.job_completion.validators.base import JobValidator from src.handlers.job_export.downloading import download_job_annotations from src.handlers.job_export.results import ( @@ -14,8 +15,6 @@ if TYPE_CHECKING: from src.models.cvat import Job -CVAT_AUDIO_EXPORT_FORMAT = "Generic TSV 1.0" - # subdir (in the escrow results dir) for the per-assignment transcription TSVs ASSIGNMENTS_DIR = "assignments" @@ -33,7 +32,7 @@ def _save_annotation_results(self) -> None: f"(escrow_address={self.escrow_address})" ) cvat_job_annotations = download_job_annotations( - self.logger, CVAT_AUDIO_EXPORT_FORMAT, cvat_jobs, expect_zip=False + self.logger, CVAT_EXPORT_FORMAT, cvat_jobs ) result_files: list[FileDescriptor] = [ diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py index 753c859d1a..ac55a1cca8 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py @@ -3,10 +3,8 @@ import csv import io import random -import time import uuid from collections import Counter -from datetime import timedelta from math import ceil from pathlib import Path, PurePosixPath from tempfile import TemporaryDirectory @@ -26,6 +24,7 @@ RegionKind, TaskMetaLayout, TaskMetaSerializer, + parse_time, ) from src.core.tasks.audio_transcription.spec import parse_audio_manifest from src.core.types import TaskStatuses @@ -610,29 +609,6 @@ def build(self) -> None: # --------------------------------------------------------------------------- # -def _parse_time(v: str) -> timedelta: - for fmt_string in ("%H:%M:%S.%f", "%H:%M:%S"): - try: - parsed_time = time.strptime(v, fmt_string) - if fmt_string.endswith(".%f"): - # time.strptime drops sub-second precision, so recover it from the raw string. - frac = v.split(".", maxsplit=1)[-1] - microseconds = int(frac.ljust(6, "0")[:6]) - else: - microseconds = 0 - except ValueError: - continue - else: - return timedelta( - hours=parsed_time.tm_hour, - minutes=parsed_time.tm_min, - seconds=parsed_time.tm_sec, - microseconds=microseconds, - ) - - raise ValueError(f"Failed to parse timestamp '{v}'") - - def _read_tsv(data: bytes) -> list[dict[str, str]]: reader = csv.DictReader(io.StringIO(data.decode("utf-8")), delimiter="\t") return list(reader) @@ -646,8 +622,8 @@ def _parse_regions_tsv(data: bytes) -> dict[str, list[InputRegion]]: InputRegion( filename=filename, row_idx=row_idx, - start=_parse_time(row["start"]), - stop=_parse_time(row["stop"]), + start=parse_time(row["start"]), + stop=parse_time(row["stop"]), label=(row.get("label") or "").strip() or None, ) ) @@ -662,8 +638,8 @@ def _parse_gt_tsv(data: bytes) -> dict[str, list[InputGtRegion]]: InputGtRegion( filename=filename, row_idx=row_idx, - start=_parse_time(row["start"]), - stop=_parse_time(row["stop"]), + start=parse_time(row["start"]), + stop=parse_time(row["stop"]), label=(row.get("label") or "").strip() or None, text=(row.get("text") or "").strip(), ) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py index 7d9f362921..e56c4bb296 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py @@ -42,7 +42,7 @@ def create_task(escrow_address: str, chain_id: int) -> None: case TaskTypes.audio_transcription: builder_type = AudioTranscriptionTaskBuilder case _: - raise Exception(f"Unsupported task type {task_type}") + raise NotImplementedError(f"Unsupported task type '{task_type}'") with builder_type(manifest, escrow_address, chain_id) as task_builder: task_builder.set_logger(logger) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/downloading.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/downloading.py index 61f96b68ed..bf8674aec7 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/downloading.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/downloading.py @@ -73,11 +73,7 @@ def _download_export(): def download_job_annotations( - logger: logging.Logger, - annotation_format: str, - jobs: Sequence[Job], - *, - expect_zip: bool = True, + logger: logging.Logger, annotation_format: str, jobs: Sequence[Job] ) -> dict[int, FileDescriptor]: # Collect raw annotations from CVAT, validate and convert them # into a recording oracle suitable format @@ -102,9 +98,7 @@ def _request_export(job: Job): job_annotations_file = download_with_retries( logger, - download_callback=partial( - cvat_api.get_job_annotations, request_id=request_id, expect_zip=expect_zip - ), + download_callback=partial(cvat_api.get_job_annotations, request_id=request_id), retry_callback=partial(_request_export, job), ) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py index 622c3f006e..761e6f117e 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py @@ -1,23 +1,152 @@ from __future__ import annotations +import csv +import io +from datetime import timedelta from typing import TYPE_CHECKING +import src.services.cvat as cvat_service +from src.core.config import Config +from src.core.storage import compose_data_bucket_filename +from src.core.tasks.audio_transcription.meta import ( + CVAT_EXPORT_FORMAT, + TaskMetaLayout, + TaskMetaSerializer, + format_time, + parse_time, +) +from src.core.tasks.audio_transcription.spec import parse_audio_manifest +from src.handlers.job_export.downloading import download_job_annotations from src.handlers.job_export.exporters.base import JobExporter +from src.handlers.job_export.results import ( + FileDescriptor, + prepare_annotation_metafile, + upload_escrow_results, +) +from src.services.cloud import make_client as make_cloud_client +from src.services.cloud.utils import BucketAccessInfo if TYPE_CHECKING: - from collections.abc import Sequence + from src.core.tasks.audio_transcription.meta import Assignment, PlacedRegion - from sqlalchemy.orm import Session - from src.models.cvat import Project +# merged resulting annotations file (in the escrow results dir), GT-annotations structure +RESULTING_ANNOTATIONS_FILE = "annotations.tsv" + +_LEADING_COLUMNS = ["id", "input_region_ids", "filename", "start", "stop", "label"] class AudioTranscriptionJobExporter(JobExporter): - """Export flow for audio_transcription escrows. + def export(self) -> None: + assert self.escrow_projects # unused, but must hold the lock + + jobs = cvat_service.get_jobs_by_escrow_address( + self.session, self.escrow_address, self.chain_id + ) + + spec = parse_audio_manifest(self.manifest) + attr_names = [ + spec.details.transcription_attr_name, + *(a.name for a in spec.shared_attributes), + ] + + assignments_by_clip = self._load_assignments() + + # TODO: use project export when CVAT supports it to speedup downloading + self.logger.debug(f"Downloading annotations for the escrow ({self.escrow_address=})") + job_annotations = download_job_annotations(self.logger, CVAT_EXPORT_FORMAT, jobs) + + rows: list[dict] = [] + for job in jobs: + rows.extend( + self._annotation_rows( + job_annotations[job.cvat_id], assignments_by_clip, attr_names + ) + ) + rows.sort(key=lambda r: (r["filename"], r["_start_s"])) + merged = self._render_tsv([*_LEADING_COLUMNS, *attr_names], rows) + + self.logger.debug(f"Uploading merged annotations for the escrow ({self.escrow_address=})") + upload_escrow_results( + files=[ + FileDescriptor(filename=RESULTING_ANNOTATIONS_FILE, file=io.BytesIO(merged)), + prepare_annotation_metafile(jobs=jobs), + ], + chain_id=self.chain_id, + escrow_address=self.escrow_address, + ) + + self._emit_escrow_recorded() + self.logger.info(f"The escrow ({self.escrow_address=}) is completed, annotations merged") + + def _load_assignments(self) -> dict[str, Assignment]: + storage_client = make_cloud_client(BucketAccessInfo.parse_obj(Config.storage_config)) + assignments = TaskMetaSerializer().parse_assignments( + storage_client.download_file( + compose_data_bucket_filename( + self.escrow_address, self.chain_id, TaskMetaLayout().ASSIGNMENTS_FILENAME + ) + ) + ) + return {a.clip_filename: a for a in assignments} + + def _annotation_rows( + self, + annotations: FileDescriptor, + assignments_by_clip: dict[str, Assignment], + attr_names: list[str], + ) -> list[dict]: + annotations.file.seek(0) + text_stream = io.TextIOWrapper(annotations.file, encoding="utf-8") + reader = csv.DictReader(text_stream, delimiter="\t") + + rows: list[dict] = [] + for interval in reader: + clip = interval["filename"].rsplit("/", 1)[-1] + assignment = assignments_by_clip.get(clip) + if assignment is None: + raise AssertionError(f"No assignment found for clip '{clip}'") + + start_s = parse_time(interval["start"]).total_seconds() + stop_s = parse_time(interval["stop"]).total_seconds() + + placed = self._placed_at(assignment, start_s) + if placed is None or placed.kind.value == "gt": + # outside any region, or a honeypot -> dropped + continue + + offset = placed.file_start - placed.clip_start + rows.append( + { + "filename": placed.source_filename, + "start": format_time(timedelta(seconds=start_s + offset)), + "stop": format_time(timedelta(seconds=stop_s + offset)), + "_start_s": start_s + offset, + "label": interval.get("label", ""), + "input_region_ids": ",".join(i.split(":")[-1] for i in placed.input_ids), + **{attr: interval.get(attr, "") or "" for attr in attr_names}, + } + ) + return rows - FUTURE-TODO: read the interval (transcription) annotations from the annotation jobs, map placed - regions back to source via the persisted assignments/regions meta, and score against GT (WER). - """ + @staticmethod + def _placed_at(assignment: Assignment, clip_time_s: float) -> PlacedRegion | None: + return next( + ( + p + for p in assignment.placed + if p.clip_start <= clip_time_s < p.clip_stop + ), + None, + ) - def export(self, session: Session, escrow_projects: Sequence[Project]) -> None: - raise NotImplementedError("audio_transcription export is not implemented yet") + @staticmethod + def _render_tsv(columns: list[str], rows: list[dict]) -> bytes: + buffer = io.StringIO() + writer = csv.DictWriter( + buffer, fieldnames=columns, delimiter="\t", extrasaction="ignore" + ) + writer.writeheader() + for global_id, row in enumerate(rows): + writer.writerow({**row, "id": global_id}) + return buffer.getvalue().encode("utf-8") diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/base.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/base.py index fc69656632..43fb434b8d 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/base.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/base.py @@ -22,17 +22,20 @@ class JobExporter(metaclass=ABCMeta): - """ - Base for task-specific escrow annotation exporters. - - Subclasses must implement :meth:`export` - """ - - def __init__(self, manifest: ManifestBase, escrow_address: str, chain_id: int) -> None: + def __init__( + self, + manifest: ManifestBase, + escrow_address: str, + chain_id: int, + session: Session, + escrow_projects: Sequence[Project], + ) -> None: self.exit_stack = ExitStack() self.manifest = manifest self.escrow_address = escrow_address self.chain_id = chain_id + self.session = session + self.escrow_projects = escrow_projects self.logger: Logger = NullLogger() @@ -50,16 +53,16 @@ def set_logger(self, logger: Logger): return self @abstractmethod - def export(self, session: Session, escrow_projects: Sequence[Project]) -> None: ... + def export(self) -> None: ... def _upload_results(self, files: Sequence[FileDescriptor]) -> None: upload_escrow_results( files=files, chain_id=self.chain_id, escrow_address=self.escrow_address ) - def _emit_escrow_recorded(self, session: Session) -> None: + def _emit_escrow_recorded(self) -> None: oracle_db_service.outbox.create_webhook( - session, + self.session, escrow_address=self.escrow_address, chain_id=self.chain_id, type=OracleWebhookTypes.recording_oracle, diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/vision.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/vision.py index 646ba6a114..f3706b8693 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/vision.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/vision.py @@ -40,9 +40,8 @@ from collections.abc import Sequence from datumaro.components.dataset import Dataset - from sqlalchemy.orm import Session - from src.models.cvat import Image, Project + from src.models.cvat import Image CVAT_EXPORT_FORMAT_MAPPING = { TaskTypes.image_label_binary: "CVAT for images 1.1", @@ -63,17 +62,17 @@ class ImageJobExporter(JobExporter): """Base image exporter: download the single project + per-job annotations, run the datumaro conversion pipeline, upload the results, and notify the recording oracle.""" - def export(self, session: Session, escrow_projects: Sequence[Project]) -> None: + def export(self) -> None: escrow_address = self.escrow_address chain_id = self.chain_id escrow_creation = cvat_service.get_escrow_creation_by_escrow_address( - session, escrow_address, chain_id, active=False + self.session, escrow_address, chain_id, active=False ) if not escrow_creation: raise AssertionError(f"Can't find escrow creation for escrow '{escrow_address}'") - jobs = cvat_service.get_jobs_by_escrow_address(session, escrow_address, chain_id) + jobs = cvat_service.get_jobs_by_escrow_address(self.session, escrow_address, chain_id) if len(jobs) != escrow_creation.total_jobs: raise AssertionError( f"Unexpected number of jobs fetched for escrow " @@ -88,7 +87,7 @@ def export(self, session: Session, escrow_projects: Sequence[Project]) -> None: job_annotations = download_job_annotations(self.logger, annotation_format, jobs) project_annotations_file, project_images = self._collect_project_annotations( - session, escrow_projects, annotation_format + annotation_format ) resulting_annotations_file_desc = FileDescriptor( @@ -108,7 +107,7 @@ def export(self, session: Session, escrow_projects: Sequence[Project]) -> None: self._upload_results(files=(*annotations, prepare_annotation_metafile(jobs=jobs))) - self._emit_escrow_recorded(session) + self._emit_escrow_recorded() self.logger.info( f"The escrow ({escrow_address=}) is completed, " @@ -136,24 +135,21 @@ def _output_format(self) -> str: # -- project annotations ----------------------------------------------- # def _collect_project_annotations( - self, - session: Session, - escrow_projects: Sequence[Project], - annotation_format: str, + self, annotation_format: str ) -> tuple[io.RawIOBase | None, list[Image] | None]: # escrows with simple task types must have only one project try: - (project,) = escrow_projects + (project,) = self.escrow_projects except ValueError: raise NotImplementedError( f"{self._task_type} is expected to have exactly one project," - f" not {len(escrow_projects)}" + f" not {len(self.escrow_projects)}" ) project_annotations_file = download_project_annotations( self.logger, annotation_format, project.cvat_id ) - project_images = cvat_service.get_project_images(session, project.cvat_id) + project_images = cvat_service.get_project_images(self.session, project.cvat_id) return project_annotations_file, project_images # -- datumaro conversion pipeline -------------------------------------- # @@ -361,17 +357,13 @@ def _process_merged_dataset(self, input_dataset: Dataset) -> Dataset: class SkeletonsJobExporter(ImageJobExporter): - """image_skeletons_from_boxes: annotations are accumulated into a merged dataset from the - per-job files here, so there is no single project export to download.""" + # Reconstruct skeletons from per-point annotation jobs def _collect_project_annotations( - self, - session: Session, - escrow_projects: Sequence[Project], - annotation_format: str, + self, annotation_format: str ) -> tuple[io.RawIOBase | None, list[Image] | None]: - assert escrow_projects # unused, but must hold the lock - del session, annotation_format # the jobs are self-merged, no project export + assert self.escrow_projects # unused, but must hold the lock + del annotation_format # the jobs are self-merged, no project export return None, None def _prepare(self) -> None: diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/factory.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/factory.py index 0e71f63c4d..7c5da50ffc 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/factory.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/factory.py @@ -15,11 +15,22 @@ ) if TYPE_CHECKING: + from collections.abc import Sequence + + from sqlalchemy.orm import Session + from src.core.manifest import ManifestBase from src.handlers.job_export.exporters.base import JobExporter + from src.models.cvat import Project -def create_exporter(manifest: ManifestBase, escrow_address: str, chain_id: int) -> JobExporter: +def create_exporter( + manifest: ManifestBase, + escrow_address: str, + chain_id: int, + session: Session, + escrow_projects: Sequence[Project], +) -> JobExporter: task_type = get_manifest_task_type(manifest) match task_type: @@ -38,6 +49,6 @@ def create_exporter(manifest: ManifestBase, escrow_address: str, chain_id: int) case TaskTypes.audio_transcription: exporter_type = AudioTranscriptionJobExporter case _: - raise Exception(f"Unsupported task type {task_type}") + raise NotImplementedError(f"Unsupported task type '{task_type}'") - return exporter_type(manifest, escrow_address, chain_id) + return exporter_type(manifest, escrow_address, chain_id, session, escrow_projects) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/handlers.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/handlers.py index 6fcb3dc9e7..e45054363f 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/handlers.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/handlers.py @@ -28,6 +28,12 @@ def handle_escrow_export( manifest = parse_manifest(get_escrow_manifest(chain_id, escrow_address)) - with create_exporter(manifest, escrow_address, chain_id) as exporter: + with create_exporter( + manifest=manifest, + escrow_address=escrow_address, + chain_id=chain_id, + session=session, + escrow_projects=escrow_projects, + ) as exporter: exporter.set_logger(logger) - exporter.export(session, escrow_projects) + exporter.export() From a0ce8cfb237ed35488668eb024f59c605275ce9a Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 7 Jul 2026 13:42:21 +0300 Subject: [PATCH 20/53] Fix typo --- packages/examples/cvat/exchange-oracle/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/packages/examples/cvat/exchange-oracle/README.md b/packages/examples/cvat/exchange-oracle/README.md index e618389c7d..ba04d13e11 100644 --- a/packages/examples/cvat/exchange-oracle/README.md +++ b/packages/examples/cvat/exchange-oracle/README.md @@ -36,7 +36,7 @@ When running service from `./bin/start_debug.sh` (`src/entrypoints/debug.py`), s - When webhook signature is required, `{oracle_name}:unique_string` can be used - You can upload manifest.json to minio `manifests` bucket and use its filename as an escrow_address -### Environemt +### Environment Env example file: [.env.example](https://github.com/humanprotocol/human-protocol/blob/feat/cvat/exchange-oracle/packages/examples/cvat/exchange-oracle/src/.env.example) Config: [config file](https://github.com/humanprotocol/human-protocol/blob/feat/cvat/exchange-oracle/packages/examples/cvat/exchange-oracle/src/config.py) From e3b449fc8982ca77bcfb51814f5a4a2338cba0bf Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 7 Jul 2026 14:32:14 +0300 Subject: [PATCH 21/53] Sync core changes in EO and RO --- .../src/services/cloud/types.py | 8 +- .../cvat/recording-oracle/pyproject.toml | 1 + .../src/core/manifest/__init__.py | 38 ++++ .../src/core/manifest/base.py | 6 + .../core/{manifest.py => manifest/shared.py} | 84 +------ .../recording-oracle/src/core/manifest/v1.py | 83 +++++++ .../recording-oracle/src/core/manifest/v2.py | 160 +++++++++++++ .../src/core/tasks/__init__.py | 7 + .../tasks/audio_transcription/__init__.py | 0 .../core/tasks/audio_transcription/meta.py | 215 ++++++++++++++++++ .../core/tasks/audio_transcription/spec.py | 136 +++++++++++ .../src/core/tasks/cvat_formats.py | 22 ++ .../recording-oracle/src/core/tasks/errors.py | 2 + .../recording-oracle/src/core/tasks/types.py | 13 ++ .../cvat/recording-oracle/src/core/types.py | 9 - .../src/handlers/completion.py | 4 +- .../handlers/process_intermediate_results.py | 48 ++-- .../src/handlers/validation.py | 19 +- .../src/services/cloud/types.py | 8 +- .../recording-oracle/tests/utils/helpers.py | 4 +- 20 files changed, 729 insertions(+), 138 deletions(-) create mode 100644 packages/examples/cvat/recording-oracle/src/core/manifest/__init__.py create mode 100644 packages/examples/cvat/recording-oracle/src/core/manifest/base.py rename packages/examples/cvat/recording-oracle/src/core/{manifest.py => manifest/shared.py} (52%) create mode 100644 packages/examples/cvat/recording-oracle/src/core/manifest/v1.py create mode 100644 packages/examples/cvat/recording-oracle/src/core/manifest/v2.py create mode 100644 packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/__init__.py create mode 100644 packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py create mode 100644 packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py create mode 100644 packages/examples/cvat/recording-oracle/src/core/tasks/cvat_formats.py create mode 100644 packages/examples/cvat/recording-oracle/src/core/tasks/errors.py create mode 100644 packages/examples/cvat/recording-oracle/src/core/tasks/types.py diff --git a/packages/examples/cvat/exchange-oracle/src/services/cloud/types.py b/packages/examples/cvat/exchange-oracle/src/services/cloud/types.py index d6c9c2994d..804032c6aa 100644 --- a/packages/examples/cvat/exchange-oracle/src/services/cloud/types.py +++ b/packages/examples/cvat/exchange-oracle/src/services/cloud/types.py @@ -11,7 +11,7 @@ from httpx import URL from src.core.config import Config, StorageConfig -from src.core.manifest import shared +from src.core.manifest.shared import BucketUrl, BucketUrlBase from src.services.cloud.gcs import DEFAULT_GCS_HOST from src.services.cloud.s3 import DEFAULT_S3_HOST from src.utils.enums import BetterEnumMeta @@ -174,14 +174,14 @@ def from_storage_config(cls, config: type[StorageConfig]) -> BucketAccessInfo: ) @classmethod - def from_bucket_url(cls, bucket_url: shared.BucketUrl) -> BucketAccessInfo: + def from_bucket_url(cls, bucket_url: BucketUrl) -> BucketAccessInfo: return cls._from_dict(bucket_url.model_dump()) @classmethod def parse_obj( - cls, data: str | type[StorageConfig] | shared.BucketUrl | pydantic.AnyUrl + cls, data: str | type[StorageConfig] | BucketUrl | pydantic.AnyUrl ) -> BucketAccessInfo: - if isinstance(data, shared.BucketUrlBase): + if isinstance(data, BucketUrlBase): return cls.from_bucket_url(data) elif isinstance(data, str): return cls.from_url(data) diff --git a/packages/examples/cvat/recording-oracle/pyproject.toml b/packages/examples/cvat/recording-oracle/pyproject.toml index b51dab8f05..e3df56302c 100644 --- a/packages/examples/cvat/recording-oracle/pyproject.toml +++ b/packages/examples/cvat/recording-oracle/pyproject.toml @@ -109,6 +109,7 @@ ignore = [ "PTH119", # `os.path.basename()` should be replaced by `Path.name` "PTH122", # `os.path.splitext()` should be replaced by `Path.suffix`, `Path.stem`, and `Path.parent` "PTH207", # Replace `glob` with `Path.glob` or `Path.rglob` + "RET505", # Unnecessary elif/else statements after/before raise/return. ] diff --git a/packages/examples/cvat/recording-oracle/src/core/manifest/__init__.py b/packages/examples/cvat/recording-oracle/src/core/manifest/__init__.py new file mode 100644 index 0000000000..5d91f29f36 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/core/manifest/__init__.py @@ -0,0 +1,38 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING, Any + +from src.core.manifest import v1, v2 +from src.core.manifest.base import ManifestBase + +if TYPE_CHECKING: + from src.core.tasks import TaskTypes + +__all__ = [ + "ManifestBase", + "get_manifest_task_type", + "parse_manifest", + "v1", + "v2", +] + + +def parse_manifest(manifest: Any) -> ManifestBase: + if isinstance(manifest, dict): + version = manifest.get("version") + else: + version = getattr(manifest, "version", None) + + if version == 2: + return v2.JobManifest.model_validate(manifest) + else: + return v1.JobManifest.model_validate(manifest) + + +def get_manifest_task_type(manifest: ManifestBase) -> TaskTypes: + if isinstance(manifest, v1.JobManifest): + return manifest.annotation.type + if isinstance(manifest, v2.JobManifest): + return manifest.job_type + + raise NotImplementedError(f"Unknown manifest version '{manifest.version}'") diff --git a/packages/examples/cvat/recording-oracle/src/core/manifest/base.py b/packages/examples/cvat/recording-oracle/src/core/manifest/base.py new file mode 100644 index 0000000000..5c14e1bc11 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/core/manifest/base.py @@ -0,0 +1,6 @@ +from typing import Protocol, runtime_checkable + + +@runtime_checkable +class ManifestBase(Protocol): + version: int diff --git a/packages/examples/cvat/recording-oracle/src/core/manifest.py b/packages/examples/cvat/recording-oracle/src/core/manifest/shared.py similarity index 52% rename from packages/examples/cvat/recording-oracle/src/core/manifest.py rename to packages/examples/cvat/recording-oracle/src/core/manifest/shared.py index ca19196555..089429cc94 100644 --- a/packages/examples/cvat/recording-oracle/src/core/manifest.py +++ b/packages/examples/cvat/recording-oracle/src/core/manifest/shared.py @@ -1,10 +1,8 @@ -from decimal import Decimal from enum import Enum from typing import Annotated, Any, Literal -from pydantic import AnyUrl, BaseModel, Field, model_validator +from pydantic import BaseModel, Field, model_validator -from src.core.types import TaskTypes from src.utils.enums import BetterEnumMeta @@ -34,20 +32,6 @@ class GcsBucketUrl(BucketUrlBase, BaseModel): BucketUrl = Annotated[AwsBucketUrl | GcsBucketUrl, Field(discriminator="provider")] -class DataInfo(BaseModel): - data_url: AnyUrl | BucketUrl - "Bucket URL, AWS S3 | GCS, virtual-hosted-style access" - # https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-bucket-intro.html - - points_url: AnyUrl | BucketUrl | None = None - "A path to an archive with a set of points in COCO Keypoints format, " - "which provides information about all objects on images" - - boxes_url: AnyUrl | BucketUrl | None = None - "A path to an archive with a set of boxes in COCO Instances format, " - "which provides information about all objects on images" - - class LabelTypes(str, Enum, metaclass=BetterEnumMeta): plain = "plain" skeleton = "skeleton" @@ -55,7 +39,7 @@ class LabelTypes(str, Enum, metaclass=BetterEnumMeta): class LabelInfoBase(BaseModel): name: str = Field(min_length=1) - # https://opencv.github.io/cvat/docs/api_sdk/sdk/reference/models/label/ + # https://docs.cvat.ai/docs/api_sdk/sdk/reference/models/label/ type: LabelTypes = LabelTypes.plain @@ -119,67 +103,3 @@ def validate_type(cls, values: dict[str, Any]) -> dict[str, Any]: LabelInfo = Annotated[PlainLabelInfo | SkeletonLabelInfo, Field(discriminator="type")] - - -class AnnotationInfo(BaseModel): - type: TaskTypes - - labels: list[LabelInfo] = Field(min_length=1) - "Label declarations with accepted annotation types" - - description: str = "" - "Brief task description" - - user_guide: str = "" - "User guide in markdown format" - - job_size: int = 10 - "Frames per job, validation frames are not included" - - @model_validator(mode="before") - @classmethod - def validate_label_type(cls, values: dict[str, Any]) -> dict[str, Any]: - if not isinstance(values, dict): - raise NotImplementedError - - default_label_type = LabelTypes.plain - if values["type"] == TaskTypes.image_skeletons_from_boxes: - default_label_type = LabelTypes.skeleton - - # Add default value for labels, if none provided. - # pydantic can't do this for tagged unions - try: - labels = values["labels"] - for label_info in labels: - label_info["type"] = label_info.get("type", default_label_type) - except KeyError: - pass - - return values - - -class ValidationInfo(BaseModel): - min_quality: float = Field(ge=0) - "Minimal accepted annotation accuracy" - - val_size: int = Field(default=2, gt=0) - "Validation frames per job" - - gt_url: AnyUrl | BucketUrl - "URL to the archive with Ground Truth annotations, the format is COCO keypoints" - - -class TaskManifest(BaseModel): - data: DataInfo - annotation: AnnotationInfo - validation: ValidationInfo - - job_bounty: Decimal = Field(ge=0) - "Assignment bounty, a decimal value in HMT" - - qualifications: list[str] = Field(default_factory=list) - "A list of annotator qualifications required for participation" - - -def parse_manifest(manifest: Any) -> TaskManifest: - return TaskManifest.model_validate(manifest) diff --git a/packages/examples/cvat/recording-oracle/src/core/manifest/v1.py b/packages/examples/cvat/recording-oracle/src/core/manifest/v1.py new file mode 100644 index 0000000000..1b774ebd5f --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/core/manifest/v1.py @@ -0,0 +1,83 @@ +from decimal import Decimal +from typing import Any, Literal + +from pydantic import AnyUrl, BaseModel, Field, model_validator + +from src.core.manifest.shared import BucketUrl, LabelInfo, LabelTypes +from src.core.tasks import TaskTypes + + +class DataInfo(BaseModel): + data_url: AnyUrl | BucketUrl + "Bucket URL, AWS S3 | GCS, virtual-hosted-style access" + # https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-bucket-intro.html + + points_url: AnyUrl | BucketUrl | None = None + "A path to an archive with a set of points in COCO Keypoints format, " + "which provides information about all objects on images" + + boxes_url: AnyUrl | BucketUrl | None = None + "A path to an archive with a set of boxes in COCO Instances format, " + "which provides information about all objects on images" + + +class AnnotationInfo(BaseModel): + type: TaskTypes + + labels: list[LabelInfo] = Field(min_length=1) + "Label declarations with accepted annotation types" + + description: str = "" + "Brief task description" + + user_guide: str = "" + "User guide in markdown format" + + job_size: int = 10 + "Frames per job, validation frames are not included" + + qualifications: list[str] = Field(default_factory=list) + "A list of annotator qualifications required for participation" + + @model_validator(mode="before") + @classmethod + def validate_label_type(cls, values: dict[str, Any]) -> dict[str, Any]: + if not isinstance(values, dict): + raise NotImplementedError + + default_label_type = LabelTypes.plain + if values["type"] == TaskTypes.image_skeletons_from_boxes: + default_label_type = LabelTypes.skeleton + + # Add default value for labels, if none provided. + # pydantic can't do this for tagged unions + try: + labels = values["labels"] + for label_info in labels: + label_info["type"] = label_info.get("type", default_label_type) + except KeyError: + pass + + return values + + +class ValidationInfo(BaseModel): + min_quality: float = Field(ge=0) + "Minimal accepted annotation accuracy" + + val_size: int = Field(default=2, gt=0) + "Validation frames per job" + + gt_url: AnyUrl | BucketUrl + "URL to the archive with Ground Truth annotations, the format is COCO keypoints" + + +class JobManifest(BaseModel): + version: Literal[1] = 1 + + data: DataInfo + annotation: AnnotationInfo + validation: ValidationInfo + + job_bounty: Decimal = Field(ge=0) + "Assignment bounty, a decimal value in HMT" diff --git a/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py b/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py new file mode 100644 index 0000000000..76ac94fade --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py @@ -0,0 +1,160 @@ +from enum import Enum +from typing import Any, Literal + +from pydantic import AnyUrl, BaseModel, ConfigDict, Field, model_validator + +from src.core.manifest.shared import BucketUrl, LabelInfo, LabelTypes +from src.core.tasks import TaskTypes +from src.utils.enums import BetterEnumMeta + + +class DataInfo(BaseModel): + media_url: AnyUrl | BucketUrl + "Bucket URL, AWS S3 | GCS, virtual-hosted-style access" + + gt_url: AnyUrl | BucketUrl + "URL to the archive with Ground Truth annotations" + + points_url: AnyUrl | BucketUrl | None = None + """ + A path to a file or an archive with a set of points in COCO Keypoints format. + Applicable for: image_boxes_from_points + """ + + boxes_url: AnyUrl | BucketUrl | None = None + """ + A path to a file or an archive with a set of boxes in COCO Instances format. + Applicable for: image_skeletons_from_boxes + """ + + regions_url: AnyUrl | BucketUrl | None = None + """ + A path to a file or an archive with audio regions in the CVAT Generic TSV format. + Applicable for: audio_transcription + """ + + +class TargetMetrics(str, Enum, metaclass=BetterEnumMeta): + accuracy = "accuracy" + wer = "wer" + cer = "cer" + + +class ValidationInfo(BaseModel): + target_score: float = Field(ge=0) + "Required annotation score. Can be minimal or maximal depending on the metric used" + + target_metric: TargetMetrics = TargetMetrics.accuracy + "Metric used to score annotations against the target" + + +class MinComposition(BaseModel): + gt: int + "Minimal number of Ground Truth samples per composition" + + ds: int + "Minimal number of dataset samples per composition" + + +class DetailsInfoBase(BaseModel): + model_config = ConfigDict(extra="forbid") + + max_time: int | None = None + "Maximum assignment time, seconds" + + +class ImageJobDetails(DetailsInfoBase): + job_size: int | None = None + "Frames per job, validation frames are not included" + + val_size: int | None = None + "Validation frames per job" + + +class AudioJobDetails(DetailsInfoBase): + normalizer: str | None = "basic" + "Text normalizer for audio transcription" + + max_segment_duration: int | None = None + "Maximum audio segment duration, seconds" + + min_composition: MinComposition | None = None + "Minimal composition of a job" + + validation_overhead: int | None = None + "Extra validation samples added on top of the required amount" + + +DetailsInfo = ImageJobDetails | AudioJobDetails + + +class SharedAttribute(BaseModel): + name: str = Field(min_length=1) + type: str + values: list[str] = Field(default_factory=list) + default_value: str = "" + + +class AnnotationInfo(BaseModel): + description: str = "" + "Brief task description" + + user_guide_url: str = "" + "URL to the user guide in markdown format" + + labels: list[LabelInfo] = Field(min_length=1) + "Label declarations with accepted annotation types" + + shared_attributes: list[SharedAttribute] = Field(default_factory=list) + "Shared annotation attributes" + + validation: ValidationInfo + + qualifications: list[str] = Field(default_factory=list) + "A list of annotator qualifications required for participation" + + details: ImageJobDetails | AudioJobDetails | None = None + "Task-specific details" + + +class JobManifest(BaseModel): + version: Literal[2] + + job_type: TaskTypes + data: DataInfo + annotation: AnnotationInfo + + @model_validator(mode="before") + @classmethod + def parse_task_specific_params(cls, values: dict[str, Any]) -> dict[str, Any]: + if not isinstance(values, dict): + raise NotImplementedError + + job_type = values.get("job_type") + + annotation = values.get("annotation") + if not isinstance(annotation, dict): + raise NotImplementedError + + # Default label types (pydantic can't do this for tagged unions). + default_label_type = ( + LabelTypes.skeleton + if job_type == TaskTypes.image_skeletons_from_boxes + else LabelTypes.plain + ) + for label_info in annotation.get("labels", []): + if isinstance(label_info, dict): + label_info.setdefault("type", default_label_type) + + if details := annotation.get("details"): + if not isinstance(details, dict): + raise NotImplementedError + + details_cls = ( + AudioJobDetails + if job_type == TaskTypes.audio_transcription + else ImageJobDetails + ) + annotation["details"] = details_cls.model_validate(details) + + return values diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/__init__.py b/packages/examples/cvat/recording-oracle/src/core/tasks/__init__.py index e69de29bb2..3f24f51e5c 100644 --- a/packages/examples/cvat/recording-oracle/src/core/tasks/__init__.py +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/__init__.py @@ -0,0 +1,7 @@ +from src.core.tasks import errors +from src.core.tasks.types import TaskTypes + +__all__ = [ + "TaskTypes", + "errors", +] diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/__init__.py b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py new file mode 100644 index 0000000000..c77df2c7c4 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py @@ -0,0 +1,215 @@ +"""Domain types and meta persistence for audio transcription tasks. + +Regions are mixed across input files into assignments, so every region carries its own source +provenance. The persisted mappings (regions + assignments) let each region be located back in its +source media after mixing. +""" + +from __future__ import annotations + +import time +from datetime import timedelta +from enum import Enum + +from attrs import Factory, frozen +from datumaro.util import dump_json, parse_json + +from src.utils.enums import BetterEnumMeta + +CVAT_EXPORT_FORMAT = "Generic TSV 1.0" + + +def parse_time(value: str) -> timedelta: + """Parse an ``H:MM:SS(.ffffff)`` timestamp (as used in the region/GT TSVs).""" + for fmt_string in ("%H:%M:%S.%f", "%H:%M:%S"): + try: + parsed_time = time.strptime(value, fmt_string) + if fmt_string.endswith(".%f"): + # time.strptime drops sub-second precision, so recover it from the raw string. + frac = value.split(".", maxsplit=1)[-1] + microseconds = int(frac.ljust(6, "0")[:6]) + else: + microseconds = 0 + except ValueError: + continue + else: + return timedelta( + hours=parsed_time.tm_hour, + minutes=parsed_time.tm_min, + seconds=parsed_time.tm_sec, + microseconds=microseconds, + ) + + raise ValueError(f"Failed to parse timestamp '{value}'") + + +def format_time(value: timedelta) -> str: + """Render a timedelta as an ``H:MM:SS.ffffff`` timestamp.""" + total = value.total_seconds() + h = int(total // 3600) + m = int((total % 3600) // 60) + s = total - h * 3600 - m * 60 + return f"{h}:{m:02d}:{s:09.6f}" + + +@frozen(kw_only=True) +class InputRegion: + """A region to annotate, parsed from the input regions TSV.""" + + filename: str + start: timedelta + stop: timedelta + label: str | None = None + row_idx: int + + @property + def id(self) -> str: + return f"{self.filename}:{self.row_idx}" + + +@frozen(kw_only=True) +class InputGtRegion: + """A ground-truth region, parsed from the input GT TSV.""" + + filename: str + start: timedelta + stop: timedelta + label: str | None = None + text: str = "" + row_idx: int + + @property + def id(self) -> str: + return f"{self.filename}:{self.row_idx}" + + +class RegionKind(str, Enum, metaclass=BetterEnumMeta): + gt = "gt" # ground-truth honeypot region + ds = "ds" # regular dataset region to annotate + + +@frozen(kw_only=True) +class PresentedRegion: + "A bundle of consecutive input ROIs from one source file, presented as a single region." + + source_filename: str + start: float # bundle span (file-time seconds): first ROI start .. last ROI stop + stop: float + kind: RegionKind + input_ids: list[str] = Factory(list) + + @property + def duration(self) -> float: + return self.stop - self.start + + +@frozen(kw_only=True) +class PlacedRegion: + "A presented region placed in an assignment" + + index: int # 0-based position within the assignment clip + source_filename: str + file_start: float + file_stop: float + clip_start: float + clip_stop: float + kind: RegionKind = RegionKind.ds + input_ids: list[str] = Factory(list) # ids of the input ROIs this bundle was built from + + +@frozen(kw_only=True) +class Assignment: + """One CVAT task: a single concatenated clip built from ``placed`` regions.""" + + id: str + clip_filename: str + clip_duration: float + placed: list[PlacedRegion] = Factory(list) + + +def _region_to_dict(r: PresentedRegion) -> dict: + return { + "source_filename": r.source_filename, + "start": r.start, + "stop": r.stop, + "kind": r.kind.value, + "input_ids": list(r.input_ids), + } + + +def _region_from_dict(d: dict) -> PresentedRegion: + return PresentedRegion( + source_filename=d["source_filename"], + start=d["start"], + stop=d["stop"], + kind=RegionKind(d["kind"]), + input_ids=list(d.get("input_ids", [])), + ) + + +def _placed_to_dict(r: PlacedRegion) -> dict: + return { + "index": r.index, + "source_filename": r.source_filename, + "file_start": r.file_start, + "file_stop": r.file_stop, + "clip_start": r.clip_start, + "clip_stop": r.clip_stop, + "kind": r.kind.value, + "input_ids": list(r.input_ids), + } + + +def _placed_from_dict(d: dict) -> PlacedRegion: + return PlacedRegion( + index=d["index"], + source_filename=d["source_filename"], + file_start=d["file_start"], + file_stop=d["file_stop"], + clip_start=d["clip_start"], + clip_stop=d["clip_stop"], + kind=RegionKind(d["kind"]), + input_ids=list(d.get("input_ids", [])), + ) + + +class TaskMetaLayout: + CLIPS_DIR = "clips" # assignment clips subdir on the oracle bucket + GT_FILENAME = "gt.tsv" + REGIONS_TSV_FILENAME = "regions.tsv" + REGIONS_FILENAME = "regions.json" + ASSIGNMENTS_FILENAME = "assignments.json" + DS_CUTS_DIR = "ds_cuts" + GT_CUTS_DIR = "gt_cuts" + + +class TaskMetaSerializer: + def serialize_regions(self, regions: list[PresentedRegion]) -> bytes: + return dump_json([_region_to_dict(r) for r in regions]) + + def parse_regions(self, data: bytes) -> list[PresentedRegion]: + return [_region_from_dict(d) for d in parse_json(data)] + + def serialize_assignments(self, assignments: list[Assignment]) -> bytes: + return dump_json( + [ + { + "id": a.id, + "clip_filename": a.clip_filename, + "clip_dur": a.clip_duration, + "placed": [_placed_to_dict(p) for p in a.placed], + } + for a in assignments + ] + ) + + def parse_assignments(self, data: bytes) -> list[Assignment]: + return [ + Assignment( + id=d["id"], + clip_filename=d["clip_filename"], + clip_duration=d["clip_dur"], + placed=[_placed_from_dict(p) for p in d.get("placed", [])], + ) + for d in parse_json(data) + ] diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py new file mode 100644 index 0000000000..f80bfc3344 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py @@ -0,0 +1,136 @@ +from __future__ import annotations + +from datetime import timedelta +from enum import Enum +from typing import TYPE_CHECKING + +from pydantic import AnyUrl, BaseModel, Field + +from src.core.manifest.shared import BucketUrl # noqa: TC001 # runtime-needed by pydantic +from src.core.tasks.errors import UnsupportedManifestError +from src.utils.enums import BetterEnumMeta + +if TYPE_CHECKING: + from src.core.manifest.v2 import JobManifest + + +class NormalizerPreset(str, Enum, metaclass=BetterEnumMeta): + basic = "basic" + + +class TranscriptionTaskData(BaseModel): + media_url: AnyUrl | BucketUrl + regions_url: AnyUrl | BucketUrl + gt_url: AnyUrl | BucketUrl + + +class TranscriptionTaskValidation(BaseModel): + target_metric: str + target_score: float + + +class TranscriptionDetails(BaseModel): + assignment_time_limit: timedelta | None = None + "Maximum time to complete an assignment" + + validation_overhead: float = 0.2 + "Honeypot share of the assignment duration" + + normalizer: NormalizerPreset | None = NormalizerPreset.basic + "Text normalization for transcriptions" + + min_composition: tuple[int, int] = (2, 2) + "(gt, ds): minimum number of honeypot and DS regions per assignment" + + roi_min_duration: timedelta = timedelta(seconds=5) + "Minimum presented region duration. Smaller segments are bundled together" + + roi_max_duration: timedelta = timedelta(seconds=120) + "Maximum presented region duration. Used for input validation" + + roi_join_pause: timedelta = timedelta(milliseconds=700) + "Silence inserted between concatenated regions in an assignment clip" + + standard_assignment_duration: timedelta = timedelta(seconds=60) + "Target audio duration per assignment" + + # TODO: add honeypot rotation later + # max_validation_gt: float = 0.05 + # "Maximum share of GT regions used as honeypots. The rest is used for honeypot rotation" + + max_discarded_gt: float = 0.5 + "Maximum share of GT regions that may be discarded before job creation fails" + + sample_rate: int = 48000 + "Sample rate of the generated assignment clips, Hz" + + transcription_attr_name: str = "transcription" + "The name of the output attribute for transcriptions in CVAT tasks and annotations" + + random_seed: int = 0 + "Seed for deterministic honeypot selection and assignment mixing" + + +class TranscriptionTaskSpecification(BaseModel): + data: TranscriptionTaskData + + labels: list[str] + shared_attributes: list = Field(default_factory=list) + user_guide: str = "" + + validation: TranscriptionTaskValidation + + details: TranscriptionDetails = Field(default_factory=TranscriptionDetails) + + +def parse_audio_manifest(manifest: JobManifest) -> TranscriptionTaskSpecification: + """ + Produce the task specification from a manifest, encapsulating manifest-version differences. + + Only v2 manifests are supported. + """ + + version = getattr(manifest, "version", 1) + if version != 2: + raise UnsupportedManifestError( + f"Audio transcription requires a v2 manifest, got version {version}" + ) + + annotation = manifest.annotation + validation = annotation.validation + manifest_details = annotation.details + + # Only pass the details fields the manifest provides; pydantic fills the rest with defaults + # and coerces raw values (e.g. normalizer str -> NormalizerPreset). + details_fields: dict = {} + if manifest_details is not None: + if manifest_details.max_segment_duration is not None: + details_fields["roi_max_duration"] = timedelta( + seconds=manifest_details.max_segment_duration + ) + if manifest_details.validation_overhead is not None: + details_fields["validation_overhead"] = manifest_details.validation_overhead / 100.0 + if manifest_details.min_composition is not None: + details_fields["min_composition"] = ( + manifest_details.min_composition.gt, + manifest_details.min_composition.ds, + ) + details_fields["normalizer"] = manifest_details.normalizer + if manifest_details.max_time is not None: + details_fields["assignment_time_limit"] = timedelta(seconds=manifest_details.max_time) + + return TranscriptionTaskSpecification( + data=TranscriptionTaskData( + media_url=manifest.data.media_url, + regions_url=manifest.data.regions_url, + gt_url=manifest.data.gt_url, + ), + labels=[label.name for label in annotation.labels], + shared_attributes=list(annotation.shared_attributes), + user_guide=annotation.user_guide_url, + validation=TranscriptionTaskValidation( + target_metric=validation.target_metric.value, + target_score=validation.target_score, + ), + details=TranscriptionDetails(**details_fields), + ) diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/cvat_formats.py b/packages/examples/cvat/recording-oracle/src/core/tasks/cvat_formats.py new file mode 100644 index 0000000000..a2a465c891 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/cvat_formats.py @@ -0,0 +1,22 @@ +from __future__ import annotations + +from src.core.tasks.types import TaskTypes + +DM_DATASET_FORMAT_MAPPING = { + TaskTypes.image_label_binary: "cvat_images", + TaskTypes.image_points: "coco_person_keypoints", + TaskTypes.image_boxes: "coco_instances", + TaskTypes.image_polygons: "coco_instances", + TaskTypes.image_boxes_from_points: "coco_instances", + TaskTypes.image_skeletons_from_boxes: "coco_person_keypoints", +} + +DM_GT_DATASET_FORMAT_MAPPING = { + # GT uses the same format both for boxes and points + TaskTypes.image_label_binary: "cvat_images", + TaskTypes.image_points: "coco_instances", + TaskTypes.image_boxes: "coco_instances", + TaskTypes.image_polygons: "coco_instances", + TaskTypes.image_boxes_from_points: "coco_instances", + TaskTypes.image_skeletons_from_boxes: "coco_person_keypoints", +} diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/errors.py b/packages/examples/cvat/recording-oracle/src/core/tasks/errors.py new file mode 100644 index 0000000000..6f002952f7 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/errors.py @@ -0,0 +1,2 @@ +class UnsupportedManifestError(Exception): + pass diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/types.py b/packages/examples/cvat/recording-oracle/src/core/tasks/types.py new file mode 100644 index 0000000000..6912483e39 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/types.py @@ -0,0 +1,13 @@ +from enum import Enum + +from src.utils.enums import BetterEnumMeta + + +class TaskTypes(str, Enum, metaclass=BetterEnumMeta): + image_label_binary = "image_label_binary" + image_points = "image_points" + image_boxes = "image_boxes" + image_boxes_from_points = "image_boxes_from_points" + image_skeletons_from_boxes = "image_skeletons_from_boxes" + image_polygons = "image_polygons" + audio_transcription = "audio_transcription" diff --git a/packages/examples/cvat/recording-oracle/src/core/types.py b/packages/examples/cvat/recording-oracle/src/core/types.py index 682b9f2703..07f4b3e8aa 100644 --- a/packages/examples/cvat/recording-oracle/src/core/types.py +++ b/packages/examples/cvat/recording-oracle/src/core/types.py @@ -10,15 +10,6 @@ class Networks(int, Enum): localhost = Config.localhost.chain_id -class TaskTypes(str, Enum, metaclass=BetterEnumMeta): - image_label_binary = "image_label_binary" - image_points = "image_points" - image_polygons = "image_polygons" - image_boxes = "image_boxes" - image_boxes_from_points = "image_boxes_from_points" - image_skeletons_from_boxes = "image_skeletons_from_boxes" - - class OracleWebhookTypes(str, Enum, metaclass=BetterEnumMeta): exchange_oracle = "exchange_oracle" recording_oracle = "recording_oracle" diff --git a/packages/examples/cvat/recording-oracle/src/handlers/completion.py b/packages/examples/cvat/recording-oracle/src/handlers/completion.py index 22db6e9f29..d82651982a 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/completion.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/completion.py @@ -9,7 +9,7 @@ import src.services.webhook as oracle_db_service from src.chain import escrow from src.core.config import Config -from src.core.manifest import TaskManifest, parse_manifest +from src.core.manifest import ManifestBase, parse_manifest from src.core.oracle_events import ( RecordingOracleEvent_JobCompleted, ) @@ -34,7 +34,7 @@ class _TaskUploader: def __init__( - self, escrow_address: str, chain_id: int, manifest: TaskManifest, db_session: Session + self, escrow_address: str, chain_id: int, manifest: ManifestBase, db_session: Session ) -> None: self.escrow_address = escrow_address self.chain_id = chain_id diff --git a/packages/examples/cvat/recording-oracle/src/handlers/process_intermediate_results.py b/packages/examples/cvat/recording-oracle/src/handlers/process_intermediate_results.py index 74a1bde5ca..5daadf9dbd 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/process_intermediate_results.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/process_intermediate_results.py @@ -19,7 +19,9 @@ from src.core.annotation_meta import AnnotationMeta from src.core.config import Config from src.core.gt_stats import GtKey, GtStats, ValidationFrameStats -from src.core.types import TaskTypes +from src.core.manifest import get_manifest_task_type +from src.core.tasks import TaskTypes +from src.core.tasks.cvat_formats import DM_DATASET_FORMAT_MAPPING, DM_GT_DATASET_FORMAT_MAPPING from src.core.validation_errors import ( DatasetValidationError, LowAccuracyError, @@ -41,27 +43,9 @@ from sqlalchemy.orm import Session - from src.core.manifest import TaskManifest + from src.core.manifest import ManifestBase from src.cvat.interface import QualityReportData -DM_DATASET_FORMAT_MAPPING = { - TaskTypes.image_label_binary: "cvat_images", - TaskTypes.image_polygons: "coco_instances", - TaskTypes.image_points: "coco_person_keypoints", - TaskTypes.image_boxes: "coco_instances", - TaskTypes.image_boxes_from_points: "coco_instances", - TaskTypes.image_skeletons_from_boxes: "coco_person_keypoints", -} - -DM_GT_DATASET_FORMAT_MAPPING = { - TaskTypes.image_label_binary: "cvat_images", - TaskTypes.image_points: "coco_instances", # we compare points against boxes - TaskTypes.image_polygons: "coco_instances", - TaskTypes.image_boxes: "coco_instances", - TaskTypes.image_boxes_from_points: "coco_instances", - TaskTypes.image_skeletons_from_boxes: "coco_person_keypoints", -} - _JobResults = dict[int, float] _RejectedJobs = dict[int, DatasetValidationError] @@ -94,7 +78,7 @@ def __init__( self, escrow_address: str, chain_id: int, - manifest: TaskManifest, + manifest: ManifestBase, ) -> None: self.escrow_address = escrow_address self.chain_id = chain_id @@ -115,7 +99,7 @@ def __init__( self, escrow_address: str, chain_id: int, - manifest: TaskManifest, + manifest: ManifestBase, *, meta: AnnotationMeta, gt_stats: GtStats | None = None, @@ -133,6 +117,8 @@ def __init__( def _validate_jobs(self): manifest = self._require_field(self.manifest) meta = self._require_field(self._meta) + if manifest.version != 1: + raise NotImplementedError job_results: _JobResults = {} rejected_jobs: _RejectedJobs = {} @@ -260,7 +246,7 @@ def __init__( self, escrow_address: str, chain_id: int, - manifest: TaskManifest, + manifest: ManifestBase, *, merged_annotations: io.IOBase, ) -> None: @@ -281,7 +267,7 @@ def _parse_gt_dataset(self, gt_file_data: bytes) -> dm.Dataset: gt_dataset = dm.Dataset.import_from( gt_filename, - format=DM_GT_DATASET_FORMAT_MAPPING[self.manifest.annotation.type], + format=DM_GT_DATASET_FORMAT_MAPPING[get_manifest_task_type(self.manifest)], ) gt_dataset.init_cache() @@ -324,7 +310,7 @@ def _prepare_merged_dataset(self): input_gt_dataset = self._require_field(self._input_gt_dataset) merged_dataset_path = tempdir / "merged" - merged_dataset_format = DM_DATASET_FORMAT_MAPPING[manifest.annotation.type] + merged_dataset_format = DM_DATASET_FORMAT_MAPPING[get_manifest_task_type(manifest)] extract_zip_archive(merged_annotations, merged_dataset_path) merged_dataset = dm.Dataset.import_from( @@ -346,13 +332,13 @@ def _prepare_merged_dataset(self): @classmethod def _put_gt_into_merged_dataset( - cls, input_gt_dataset: dm.Dataset, merged_dataset: dm.Dataset, *, manifest: TaskManifest + cls, input_gt_dataset: dm.Dataset, merged_dataset: dm.Dataset, *, manifest: ManifestBase ) -> None: """ Updates the merged dataset inplace, writing GT annotations corresponding to the task type. """ - match manifest.annotation.type: + match get_manifest_task_type(manifest): case TaskTypes.image_boxes.value | TaskTypes.image_polygons.value: merged_dataset.update(input_gt_dataset) case TaskTypes.image_points.value: @@ -398,7 +384,7 @@ def _put_gt_into_merged_dataset( ) merged_dataset.update(input_gt_dataset) case _: - raise AssertionError(f"Unknown task type {manifest.annotation.type}") + raise AssertionError(f"Unknown task type {get_manifest_task_type(manifest)}") def merge_results(self) -> io.IOBase: with TemporaryDirectory() as tempdir: @@ -423,7 +409,7 @@ class _TaskHoneypotManager: def __init__( self, task: db_models.Task, - manifest: TaskManifest, + manifest: ManifestBase, *, annotation_meta: AnnotationMeta, gt_stats: GtStats, @@ -744,7 +730,7 @@ def process_intermediate_results( # noqa: PLR0912 escrow_address: str, chain_id: int, meta: AnnotationMeta, - manifest: TaskManifest, + manifest: ManifestBase, logger: logging.Logger, ) -> ValidationSuccess | ValidationFailure: should_complete = False @@ -953,7 +939,7 @@ def process_final_results( chain_id: int, meta: AnnotationMeta, merged_annotations: io.RawIOBase, - manifest: TaskManifest, + manifest: ManifestBase, logger: logging.Logger, ) -> FinalResult: assert logger # unused diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation.py b/packages/examples/cvat/recording-oracle/src/handlers/validation.py index 8c13346efa..7b20f1daa5 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/validation.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation.py @@ -1,15 +1,17 @@ import io from collections import Counter from logging import Logger +from typing import cast from sqlalchemy.orm import Session import src.core.annotation_meta as annotation +import src.core.manifest as manifest_utils import src.core.validation_meta as validation import src.services.webhook as oracle_db_service from src.chain import escrow from src.core.config import Config -from src.core.manifest import TaskManifest, parse_manifest +from src.core.manifest import ManifestBase from src.core.oracle_events import ( RecordingOracleEvent_JobCompleted, RecordingOracleEvent_SubmissionRejected, @@ -35,7 +37,7 @@ class _TaskValidator: def __init__( - self, escrow_address: str, chain_id: int, manifest: TaskManifest, db_session: Session + self, escrow_address: str, chain_id: int, manifest: ManifestBase, db_session: Session ) -> None: self.escrow_address = escrow_address self.chain_id = chain_id @@ -137,6 +139,15 @@ def _handle_validation_result(self, validation_result: ValidationResult): job_meta.job_id: job_meta.assignment_id for job_meta in self.annotation_meta.jobs } + if self.manifest.version == 1: + manifest = cast(manifest_utils.v1.JobManifest, self.manifest) + quality_threshold = manifest.validation.min_quality + elif self.manifest.version == 2: + manifest = cast(manifest_utils.v2.JobManifest, self.manifest) + quality_threshold = manifest.annotation.validation.target_score + else: + raise NotImplementedError(f"Unknown manifest version '{manifest.version}'") + oracle_db_service.outbox.create_webhook( db_session, escrow_address, @@ -149,7 +160,7 @@ def _handle_validation_result(self, validation_result: ValidationResult): assignment_id=job_id_to_assignment_id[rejected_job_id], reason=self._LOW_QUALITY_REASON_MESSAGE_TEMPLATE.format( validation_result.job_results[rejected_job_id], - self.manifest.validation.min_quality, + quality_threshold, ), ) for rejected_job_id, reason in validation_result.rejected_jobs.items() @@ -168,7 +179,7 @@ def validate_results( ): logger = get_function_logger(module_logger_name) - manifest = parse_manifest(escrow.get_escrow_manifest(chain_id, escrow_address)) + manifest = manifest_utils.parse_manifest(escrow.get_escrow_manifest(chain_id, escrow_address)) validator = _TaskValidator( escrow_address=escrow_address, chain_id=chain_id, manifest=manifest, db_session=db_session diff --git a/packages/examples/cvat/recording-oracle/src/services/cloud/types.py b/packages/examples/cvat/recording-oracle/src/services/cloud/types.py index 935dc7f4b1..830714f119 100644 --- a/packages/examples/cvat/recording-oracle/src/services/cloud/types.py +++ b/packages/examples/cvat/recording-oracle/src/services/cloud/types.py @@ -9,8 +9,8 @@ import pydantic -from src.core import manifest from src.core.config import Config, IStorageConfig +from src.core.manifest.shared import BucketUrl, BucketUrlBase from src.services.cloud.gcs import DEFAULT_GCS_HOST from src.services.cloud.s3 import DEFAULT_S3_HOST from src.utils.enums import BetterEnumMeta @@ -171,14 +171,14 @@ def from_storage_config(cls, config: type[IStorageConfig]) -> BucketAccessInfo: ) @classmethod - def from_bucket_url(cls, bucket_url: manifest.BucketUrl) -> BucketAccessInfo: + def from_bucket_url(cls, bucket_url: BucketUrl) -> BucketAccessInfo: return cls._from_dict(bucket_url.model_dump()) @classmethod def parse_obj( - cls, data: str | type[IStorageConfig] | manifest.BucketUrl | pydantic.AnyUrl + cls, data: str | type[IStorageConfig] | BucketUrl | pydantic.AnyUrl ) -> BucketAccessInfo: - if isinstance(data, manifest.BucketUrlBase): + if isinstance(data, BucketUrlBase): return cls.from_bucket_url(data) if isinstance(data, str): return cls.from_url(data) diff --git a/packages/examples/cvat/recording-oracle/tests/utils/helpers.py b/packages/examples/cvat/recording-oracle/tests/utils/helpers.py index 22ff66fa0f..eff59da8cf 100644 --- a/packages/examples/cvat/recording-oracle/tests/utils/helpers.py +++ b/packages/examples/cvat/recording-oracle/tests/utils/helpers.py @@ -1,6 +1,6 @@ from collections.abc import Iterable -from src.core.manifest import TaskManifest, parse_manifest +from src.core.manifest import ManifestBase, parse_manifest def generate_manifest( @@ -9,7 +9,7 @@ def generate_manifest( job_size: int = 10, validation_frames_per_job: int = 2, labels: int | Iterable[int] = 1, -) -> TaskManifest: +) -> ManifestBase: label_definitions = [] if isinstance(labels, int): label_definitions.extend({"name": f"label_{i}"} for i in range(labels)) From 53ea4ae3e30df335c7ed6040c236b93f8de2bf25 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 7 Jul 2026 17:41:54 +0300 Subject: [PATCH 22/53] Refactor factory placement --- .../src/handlers/job_completion/handlers.py | 2 +- .../{ => validators}/factory.py | 0 .../src/handlers/job_creation/__init__.py | 2 +- .../job_creation/{ => builders}/factory.py | 24 +++++++++---------- .../src/handlers/job_creation/handlers.py | 17 +++++++++++++ .../job_export/{ => exporters}/factory.py | 0 .../src/handlers/job_export/handlers.py | 2 +- .../test_process_job_launcher_webhooks.py | 4 ++-- 8 files changed, 34 insertions(+), 17 deletions(-) rename packages/examples/cvat/exchange-oracle/src/handlers/job_completion/{ => validators}/factory.py (100%) rename packages/examples/cvat/exchange-oracle/src/handlers/job_creation/{ => builders}/factory.py (70%) create mode 100644 packages/examples/cvat/exchange-oracle/src/handlers/job_creation/handlers.py rename packages/examples/cvat/exchange-oracle/src/handlers/job_export/{ => exporters}/factory.py (100%) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/handlers.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/handlers.py index 452d0b97bd..c050160e07 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/handlers.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/handlers.py @@ -9,7 +9,7 @@ from src.core.types import EscrowValidationStatuses from src.db import SessionLocal from src.db.utils import ForUpdateParams -from src.handlers.job_completion.factory import create_validator +from src.handlers.job_completion.validators.factory import create_validator from src.utils.logging import get_function_logger if TYPE_CHECKING: diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/factory.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/factory.py similarity index 100% rename from packages/examples/cvat/exchange-oracle/src/handlers/job_completion/factory.py rename to packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/factory.py diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/__init__.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/__init__.py index 9e4f056f12..a74072dd7d 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/__init__.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/__init__.py @@ -1,3 +1,3 @@ -from src.handlers.job_creation.factory import create_task +from src.handlers.job_creation.handlers import create_task __all__ = ["create_task"] diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/factory.py similarity index 70% rename from packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py rename to packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/factory.py index e56c4bb296..a77a2370e5 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/factory.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/factory.py @@ -1,7 +1,8 @@ from __future__ import annotations -from src.chain.escrow import get_escrow_manifest -from src.core.manifest import get_manifest_task_type, parse_manifest +from typing import TYPE_CHECKING + +from src.core.manifest import get_manifest_task_type from src.core.tasks import TaskTypes from src.handlers.job_creation.builders.audio.transcription import AudioTranscriptionTaskBuilder from src.handlers.job_creation.builders.vision.basic import ( @@ -14,16 +15,17 @@ from src.handlers.job_creation.builders.vision.skeletons_from_boxes import ( SkeletonsFromBoxesTaskBuilder, ) -from src.log import ROOT_LOGGER_NAME -from src.utils.logging import get_function_logger - -module_logger = f"{ROOT_LOGGER_NAME}.cron.cvat" +if TYPE_CHECKING: + from src.core.manifest import ManifestBase + from src.handlers.job_creation.builders.vision.base import TaskBuilderBase -def create_task(escrow_address: str, chain_id: int) -> None: - logger = get_function_logger(module_logger) - manifest = parse_manifest(get_escrow_manifest(chain_id, escrow_address)) +def create_builder( + manifest: ManifestBase, + escrow_address: str, + chain_id: int, +) -> TaskBuilderBase: task_type = get_manifest_task_type(manifest) match task_type: @@ -44,6 +46,4 @@ def create_task(escrow_address: str, chain_id: int) -> None: case _: raise NotImplementedError(f"Unsupported task type '{task_type}'") - with builder_type(manifest, escrow_address, chain_id) as task_builder: - task_builder.set_logger(logger) - task_builder.build() + return builder_type(manifest, escrow_address, chain_id) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/handlers.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/handlers.py new file mode 100644 index 0000000000..243f06122f --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/handlers.py @@ -0,0 +1,17 @@ +from src.chain.escrow import get_escrow_manifest +from src.core.manifest import parse_manifest +from src.handlers.job_creation.builders.factory import create_builder +from src.log import ROOT_LOGGER_NAME +from src.utils.logging import get_function_logger + +module_logger = f"{ROOT_LOGGER_NAME}.cron.cvat" + + +def create_task(escrow_address: str, chain_id: int) -> None: + logger = get_function_logger(module_logger) + + manifest = parse_manifest(get_escrow_manifest(chain_id, escrow_address)) + + with create_builder(manifest, escrow_address, chain_id) as task_builder: + task_builder.set_logger(logger) + task_builder.build() diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/factory.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/factory.py similarity index 100% rename from packages/examples/cvat/exchange-oracle/src/handlers/job_export/factory.py rename to packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/factory.py diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/handlers.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/handlers.py index e45054363f..af6fc8006e 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/handlers.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/handlers.py @@ -6,7 +6,7 @@ from src.chain.escrow import get_escrow_manifest, validate_escrow from src.core.manifest import parse_manifest from src.db.utils import ForUpdateParams -from src.handlers.job_export.factory import create_exporter +from src.handlers.job_export.exporters.factory import create_exporter if TYPE_CHECKING: import logging diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py index 17857e0081..5ac9267b70 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py @@ -63,7 +63,7 @@ def test_process_incoming_job_launcher_webhooks_escrow_created_type(self): with ( patch("src.chain.escrow.get_escrow") as mock_escrow, open("tests/assets/manifests/manifest.json") as data, - patch("src.handlers.job_creation.factory.get_escrow_manifest") as mock_get_manifest, + patch("src.handlers.job_creation.handlers.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.job_creation.builders.vision.basic.cvat_api") as mock_cvat_api, patch( "src.handlers.job_creation.builders.vision.basic.cloud_service.make_client" @@ -249,7 +249,7 @@ def test_process_incoming_job_launcher_webhooks_escrow_created_type_remove_when_ with ( patch("src.chain.escrow.get_escrow") as mock_escrow, open("tests/assets/manifests/manifest.json") as data, - patch("src.handlers.job_creation.factory.get_escrow_manifest") as mock_get_manifest, + patch("src.handlers.job_creation.handlers.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.job_creation.builders.vision.basic.cvat_api") as mock_cvat_api, patch( "src.handlers.job_creation.builders.vision.basic.cloud_service.make_client" From f130c69f749e4d0e04a2a0036e0bd5c56c455bd1 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 7 Jul 2026 17:42:35 +0300 Subject: [PATCH 23/53] Refactor validation in RO --- .../src/handlers/completion.py | 2 +- .../src/handlers/validation/__init__.py | 12 + .../src/handlers/validation/common.py | 66 +++ .../src/handlers/validation/final_results.py | 282 ++++++++++ .../{validation.py => validation/handlers.py} | 11 +- .../intermediate_results.py} | 509 +----------------- .../src/handlers/validation/meta.py | 18 + .../validation/quality_checkers/__init__.py | 0 .../validation/quality_checkers/audio.py | 8 + .../validation/quality_checkers/base.py | 60 +++ .../validation/quality_checkers/factory.py | 42 ++ .../validation/quality_checkers/image.py | 125 +++++ .../services/test_validation_service.py | 128 ++--- 13 files changed, 700 insertions(+), 563 deletions(-) create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/validation/__init__.py create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/validation/common.py create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/validation/final_results.py rename packages/examples/cvat/recording-oracle/src/handlers/{validation.py => validation/handlers.py} (96%) rename packages/examples/cvat/recording-oracle/src/handlers/{process_intermediate_results.py => validation/intermediate_results.py} (54%) create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/validation/meta.py create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/__init__.py create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/base.py create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/factory.py create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/image.py diff --git a/packages/examples/cvat/recording-oracle/src/handlers/completion.py b/packages/examples/cvat/recording-oracle/src/handlers/completion.py index d82651982a..00efffdb25 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/completion.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/completion.py @@ -18,7 +18,7 @@ ) from src.core.types import OracleWebhookTypes from src.core.validation_results import FinalResult -from src.handlers.process_intermediate_results import ( +from src.handlers.validation import ( parse_annotation_metafile, process_final_results, serialize_validation_meta, diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/__init__.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/__init__.py new file mode 100644 index 0000000000..03e1f4040e --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/__init__.py @@ -0,0 +1,12 @@ +from src.handlers.validation.final_results import process_final_results +from src.handlers.validation.handlers import validate_results +from src.handlers.validation.intermediate_results import process_intermediate_results +from src.handlers.validation.meta import parse_annotation_metafile, serialize_validation_meta + +__all__ = [ + "parse_annotation_metafile", + "process_final_results", + "process_intermediate_results", + "serialize_validation_meta", + "validate_results", +] diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/common.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/common.py new file mode 100644 index 0000000000..2cc9784a11 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/common.py @@ -0,0 +1,66 @@ +from __future__ import annotations + +from dataclasses import dataclass +from typing import TYPE_CHECKING, TypeVar + +import src.cvat.api_calls as cvat_api +from src.core.validation_errors import DatasetValidationError + +if TYPE_CHECKING: + from pathlib import Path + + from src.core.gt_stats import GtStats + from src.core.manifest import ManifestBase + +UNKNOWN_QUALITY = -1 +"The value to be used when job quality cannot be computed (e.g. no GT images available)" + +_JobResults = dict[int, float] + +_RejectedJobs = dict[int, DatasetValidationError] + +_HoneypotFrameId = int +_ValidationFrameId = int +_HoneypotFrameToValFrame = dict[_HoneypotFrameId, _ValidationFrameId] +_TaskIdToValidationLayout = dict[int, cvat_api.models.ITaskValidationLayoutRead] +_TaskIdToHoneypotsMapping = dict[int, _HoneypotFrameToValFrame] +_TaskIdToFrameNames = dict[int, list[str]] +_TaskIdToLabels = dict[int, list[str]] + + +@dataclass +class _ValidationResult: + job_results: _JobResults + rejected_jobs: _RejectedJobs + gt_stats: GtStats + task_id_to_val_layout: _TaskIdToValidationLayout + task_id_to_honeypots_mapping: _TaskIdToHoneypotsMapping + task_id_to_frame_names: _TaskIdToFrameNames + task_id_to_labels: _TaskIdToLabels + + +@dataclass +class _HoneypotUpdateResult: + updated_gt_stats: GtStats + can_continue_annotation: bool + + +T = TypeVar("T") + + +class _TaskHandler: + def __init__( + self, + escrow_address: str, + chain_id: int, + manifest: ManifestBase, + ) -> None: + self.escrow_address = escrow_address + self.chain_id = chain_id + self.manifest = manifest + + self._temp_dir: Path | None = None + + def _require_field(self, field: T | None) -> T: + assert field is not None + return field diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/final_results.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/final_results.py new file mode 100644 index 0000000000..0f6a303579 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/final_results.py @@ -0,0 +1,282 @@ +from __future__ import annotations + +import io +import os +from pathlib import Path +from tempfile import TemporaryDirectory +from typing import TYPE_CHECKING + +import datumaro as dm +import numpy as np + +import src.services.validation as db_service +from src.core.manifest import get_manifest_task_type +from src.core.tasks import TaskTypes +from src.core.tasks.cvat_formats import DM_DATASET_FORMAT_MAPPING, DM_GT_DATASET_FORMAT_MAPPING +from src.core.validation_meta import JobMeta, ResultMeta, ValidationMeta +from src.core.validation_results import FinalResult +from src.db.utils import ForUpdateParams +from src.handlers.validation.common import UNKNOWN_QUALITY, _JobResults, _TaskHandler +from src.services.cloud import make_client as make_cloud_client +from src.services.cloud.utils import BucketAccessInfo +from src.utils.annotations import ProjectLabels +from src.utils.zip_archive import extract_zip_archive, write_dir_to_zip_archive + +if TYPE_CHECKING: + import logging + + from sqlalchemy.orm import Session + + from src.core.annotation_meta import AnnotationMeta + from src.core.manifest import ManifestBase + + +class _TaskAnnotationMerger(_TaskHandler): + def __init__( + self, + escrow_address: str, + chain_id: int, + manifest: ManifestBase, + *, + merged_annotations: io.IOBase, + ) -> None: + super().__init__(escrow_address=escrow_address, chain_id=chain_id, manifest=manifest) + + self._merged_annotations: io.IOBase = merged_annotations + + self._updated_merged_dataset_archive: io.IOBase | None = None + + self._temp_dir: Path | None = None + self._input_gt_dataset: dm.Dataset | None = None + + def _parse_gt_dataset(self, gt_file_data: bytes) -> dm.Dataset: + with TemporaryDirectory() as gt_temp_dir: + gt_filename = os.path.join(gt_temp_dir, "gt_annotations.json") + with open(gt_filename, "wb") as f: + f.write(gt_file_data) + + gt_dataset = dm.Dataset.import_from( + gt_filename, + format=DM_GT_DATASET_FORMAT_MAPPING[get_manifest_task_type(self.manifest)], + ) + + gt_dataset.init_cache() + + return gt_dataset + + def _load_gt_dataset(self): + input_gt_bucket = BucketAccessInfo.parse_obj(self.manifest.validation.gt_url) + gt_bucket_client = make_cloud_client(input_gt_bucket) + gt_data = gt_bucket_client.download_file(input_gt_bucket.path) + self._input_gt_dataset = self._parse_gt_dataset(gt_data) + + def _restore_original_image_paths(self, merged_dataset: dm.Dataset) -> dm.Dataset: + class RemoveCommonPrefix(dm.ItemTransform): + def __init__(self, extractor: dm.IExtractor, *, prefix: str) -> None: + super().__init__(extractor) + self._prefix = prefix + + def transform_item(self, item: dm.DatasetItem) -> dm.DatasetItem: + if item.id.startswith(self._prefix): + item = item.wrap(id=item.id[len(self._prefix) :]) + return item + + prefix = BucketAccessInfo.parse_obj(self.manifest.data.data_url).path.strip("/\\") + "/" + + # Remove prefixes if it can be done safely + sample_ids = {sample.id for sample in merged_dataset} + if all( + sample_id.startswith(prefix) and (sample_id[len(prefix) :] not in sample_ids) + for sample_id in sample_ids + ): + merged_dataset.transform(RemoveCommonPrefix, prefix=prefix) + + return merged_dataset + + def _prepare_merged_dataset(self): + tempdir = self._require_field(self._temp_dir) + manifest = self._require_field(self.manifest) + merged_annotations = self._require_field(self._merged_annotations) + input_gt_dataset = self._require_field(self._input_gt_dataset) + + merged_dataset_path = tempdir / "merged" + merged_dataset_format = DM_DATASET_FORMAT_MAPPING[get_manifest_task_type(manifest)] + extract_zip_archive(merged_annotations, merged_dataset_path) + + merged_dataset = dm.Dataset.import_from( + os.fspath(merged_dataset_path), format=merged_dataset_format + ) + self._restore_original_image_paths(merged_dataset) + self._put_gt_into_merged_dataset(input_gt_dataset, merged_dataset, manifest=manifest) + + updated_merged_dataset_path = tempdir / "merged_updated" + merged_dataset.export( + updated_merged_dataset_path, merged_dataset_format, save_media=False, reindex=True + ) + + updated_merged_dataset_archive = io.BytesIO() + write_dir_to_zip_archive(updated_merged_dataset_path, updated_merged_dataset_archive) + updated_merged_dataset_archive.seek(0) + + self._updated_merged_dataset_archive = updated_merged_dataset_archive + + @classmethod + def _put_gt_into_merged_dataset( + cls, input_gt_dataset: dm.Dataset, merged_dataset: dm.Dataset, *, manifest: ManifestBase + ) -> None: + """ + Updates the merged dataset inplace, writing GT annotations corresponding to the task type. + """ + + match get_manifest_task_type(manifest): + case TaskTypes.image_boxes.value | TaskTypes.image_polygons.value: + merged_dataset.update(input_gt_dataset) + case TaskTypes.image_points.value: + merged_label_cat: dm.LabelCategories = merged_dataset.categories()[ + dm.AnnotationType.label + ] + + # we support no more than 1 label so far + assert len(manifest.annotation.labels) == 1 + + skeleton_label_id = next( + i for i, label in enumerate(merged_label_cat) if not label.parent + ) + point_label_id = next(i for i, label in enumerate(merged_label_cat) if label.parent) + + for sample in input_gt_dataset: + annotations = [ + dm.Skeleton( + elements=[ + # Put a point in the center of each GT bbox + # Not ideal, but it's the target for now + dm.Points( + [bbox.x + bbox.w / 2, bbox.y + bbox.h / 2], + label=point_label_id, + attributes=bbox.attributes, + ) + ], + label=skeleton_label_id, + ) + for bbox in sample.annotations + if isinstance(bbox, dm.Bbox) + ] + merged_dataset.put(sample.wrap(annotations=annotations)) + case TaskTypes.image_label_binary.value: + merged_dataset.update(input_gt_dataset) + case TaskTypes.image_boxes_from_points: + merged_dataset.update(input_gt_dataset) + case TaskTypes.image_skeletons_from_boxes: + # The original behavior of project_labels is broken for skeletons + input_gt_dataset = dm.Dataset(input_gt_dataset) + input_gt_dataset = input_gt_dataset.transform( + ProjectLabels, dst_labels=merged_dataset.categories()[dm.AnnotationType.label] + ) + merged_dataset.update(input_gt_dataset) + case _: + raise AssertionError(f"Unknown task type {get_manifest_task_type(manifest)}") + + def merge_results(self) -> io.IOBase: + with TemporaryDirectory() as tempdir: + self._temp_dir = Path(tempdir) + + self._load_gt_dataset() + self._prepare_merged_dataset() + + return self._require_field(self._updated_merged_dataset_archive) + + +def process_final_results( + session: Session, + *, + escrow_address: str, + chain_id: int, + meta: AnnotationMeta, + merged_annotations: io.RawIOBase, + manifest: ManifestBase, + logger: logging.Logger, +) -> FinalResult: + assert logger # unused + + task = db_service.get_task_by_escrow_address( + session, + escrow_address, + for_update=ForUpdateParams( + nowait=True + ), # should not happen, but waiting should not block processing + ) + if not task: + raise AssertionError(f"Validation results for escrow {escrow_address} not found") + + merger = _TaskAnnotationMerger( + escrow_address=escrow_address, + chain_id=chain_id, + manifest=manifest, + merged_annotations=merged_annotations, + ) + + merged_annotations = merger.merge_results() + + job_final_result_ids: dict[str, str] = {} + + for job_meta in meta.jobs: + job = db_service.get_job_by_cvat_id(session, job_meta.job_id) + if not job: + raise AssertionError( + f"Can't find validation results for job " f"{job_meta.job_id} ({escrow_address=})" + ) + + assignment_validation_result = db_service.get_validation_result_by_assignment_id( + session, job_meta.assignment_id + ) + if not assignment_validation_result: + raise AssertionError( + f"Can't find validation results for assignments " + f"{job_meta.assignment_id} ({escrow_address=})" + ) + + job_final_result_ids[job.id] = assignment_validation_result.id + + task_jobs = task.jobs + + task_validation_results = db_service.get_task_validation_results(session, task.id) + + job_id_to_meta_id = {job.id: i for i, job in enumerate(task_jobs)} + + validation_result_id_to_meta_id = {r.id: i for i, r in enumerate(task_validation_results)} + + validation_meta = ValidationMeta( + jobs=[ + JobMeta( + job_id=job_id_to_meta_id[job.id], + final_result_id=validation_result_id_to_meta_id[job_final_result_ids[job.id]], + ) + for job in task_jobs + ], + results=[ + ResultMeta( + id=validation_result_id_to_meta_id[r.id], + job_id=job_id_to_meta_id[r.job.id], + annotator_wallet_address=r.annotator_wallet_address, + annotation_quality=r.annotation_quality, + ) + for r in task_validation_results + ], + ) + + # Include final results for all jobs + job_results: _JobResults = { + job.cvat_id: task_validation_results[ + validation_result_id_to_meta_id[job_final_result_ids[job.id]] + ].annotation_quality + for job in task_jobs + } + + return FinalResult( + job_results=job_results, + validation_meta=validation_meta, + resulting_annotations=merged_annotations.read(), + average_quality=np.mean( + [v for v in job_results.values() if v != UNKNOWN_QUALITY and v >= 0] or [0] + ), + ) diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/handlers.py similarity index 96% rename from packages/examples/cvat/recording-oracle/src/handlers/validation.py rename to packages/examples/cvat/recording-oracle/src/handlers/validation/handlers.py index 7b20f1daa5..536e4dcbcd 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/validation.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/handlers.py @@ -22,11 +22,8 @@ from src.core.types import OracleWebhookTypes from src.core.validation_errors import TooFewGtError from src.core.validation_results import ValidationFailure, ValidationSuccess -from src.handlers.process_intermediate_results import ( - parse_annotation_metafile, - process_intermediate_results, - serialize_validation_meta, -) +from src.handlers.validation.intermediate_results import process_intermediate_results +from src.handlers.validation.meta import parse_annotation_metafile, serialize_validation_meta from src.log import ROOT_LOGGER_NAME from src.services.cloud import make_client as make_cloud_client from src.services.cloud.utils import BucketAccessInfo @@ -35,7 +32,7 @@ module_logger_name = f"{ROOT_LOGGER_NAME}.cron.webhook" -class _TaskValidator: +class _EscrowValidator: def __init__( self, escrow_address: str, chain_id: int, manifest: ManifestBase, db_session: Session ) -> None: @@ -181,7 +178,7 @@ def validate_results( manifest = manifest_utils.parse_manifest(escrow.get_escrow_manifest(chain_id, escrow_address)) - validator = _TaskValidator( + validator = _EscrowValidator( escrow_address=escrow_address, chain_id=chain_id, manifest=manifest, db_session=db_session ) validator.set_logger(logger) diff --git a/packages/examples/cvat/recording-oracle/src/handlers/process_intermediate_results.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/intermediate_results.py similarity index 54% rename from packages/examples/cvat/recording-oracle/src/handlers/process_intermediate_results.py rename to packages/examples/cvat/recording-oracle/src/handlers/validation/intermediate_results.py index 5daadf9dbd..ee7dc13724 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/process_intermediate_results.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/intermediate_results.py @@ -1,406 +1,39 @@ from __future__ import annotations -import io import logging -import os from collections import Counter -from dataclasses import dataclass from functools import cached_property -from pathlib import Path -from tempfile import TemporaryDirectory from typing import TYPE_CHECKING, TypeVar -import datumaro as dm import numpy as np import src.cvat.api_calls as cvat_api import src.models.validation as db_models import src.services.validation as db_service -from src.core.annotation_meta import AnnotationMeta from src.core.config import Config -from src.core.gt_stats import GtKey, GtStats, ValidationFrameStats -from src.core.manifest import get_manifest_task_type -from src.core.tasks import TaskTypes -from src.core.tasks.cvat_formats import DM_DATASET_FORMAT_MAPPING, DM_GT_DATASET_FORMAT_MAPPING -from src.core.validation_errors import ( - DatasetValidationError, - LowAccuracyError, - TooFewGtError, - TooSlowAnnotationError, -) +from src.core.gt_stats import GtKey, ValidationFrameStats +from src.core.validation_errors import TooFewGtError, TooSlowAnnotationError from src.core.validation_meta import JobMeta, ResultMeta, ValidationMeta -from src.core.validation_results import FinalResult, ValidationFailure, ValidationSuccess +from src.core.validation_results import ValidationFailure, ValidationSuccess from src.db.utils import ForUpdateParams -from src.services.cloud import make_client as make_cloud_client -from src.services.cloud.utils import BucketAccessInfo +from src.handlers.validation.common import ( + UNKNOWN_QUALITY, + _HoneypotUpdateResult, + _JobResults, + _ValidationResult, +) +from src.handlers.validation.quality_checkers.factory import create_quality_checker from src.utils import grouped -from src.utils.annotations import ProjectLabels from src.utils.formatting import value_and_percent -from src.utils.zip_archive import extract_zip_archive, write_dir_to_zip_archive if TYPE_CHECKING: from collections.abc import Callable, Sequence from sqlalchemy.orm import Session + from src.core.annotation_meta import AnnotationMeta + from src.core.gt_stats import GtStats from src.core.manifest import ManifestBase - from src.cvat.interface import QualityReportData - -_JobResults = dict[int, float] - -_RejectedJobs = dict[int, DatasetValidationError] - -_HoneypotFrameId = int -_ValidationFrameId = int -_HoneypotFrameToValFrame = dict[_HoneypotFrameId, _ValidationFrameId] -_TaskIdToValidationLayout = dict[int, cvat_api.models.ITaskValidationLayoutRead] -_TaskIdToHoneypotsMapping = dict[int, _HoneypotFrameToValFrame] -_TaskIdToFrameNames = dict[int, list[str]] -_TaskIdToLabels = dict[int, list[str]] - - -@dataclass -class _ValidationResult: - job_results: _JobResults - rejected_jobs: _RejectedJobs - gt_stats: GtStats - task_id_to_val_layout: _TaskIdToValidationLayout - task_id_to_honeypots_mapping: _TaskIdToHoneypotsMapping - task_id_to_frame_names: _TaskIdToFrameNames - task_id_to_labels: _TaskIdToLabels - - -T = TypeVar("T") - - -class _TaskHandler: - def __init__( - self, - escrow_address: str, - chain_id: int, - manifest: ManifestBase, - ) -> None: - self.escrow_address = escrow_address - self.chain_id = chain_id - self.manifest = manifest - - self._temp_dir: Path | None = None - - def _require_field(self, field: T | None) -> T: - assert field is not None - return field - - -class _TaskValidator(_TaskHandler): - UNKNOWN_QUALITY = -1 - "The value to be used when job quality cannot be computed (e.g. no GT images available)" - - def __init__( - self, - escrow_address: str, - chain_id: int, - manifest: ManifestBase, - *, - meta: AnnotationMeta, - gt_stats: GtStats | None = None, - ) -> None: - super().__init__(escrow_address=escrow_address, chain_id=chain_id, manifest=manifest) - - self._gt_stats: GtStats = gt_stats or {} - - self._job_results: _JobResults | None = None - self._rejected_jobs: _RejectedJobs | None = None - - self._temp_dir: Path | None = None - self._meta: AnnotationMeta = meta - - def _validate_jobs(self): - manifest = self._require_field(self.manifest) - meta = self._require_field(self._meta) - if manifest.version != 1: - raise NotImplementedError - - job_results: _JobResults = {} - rejected_jobs: _RejectedJobs = {} - - cvat_task_ids = {job_meta.task_id for job_meta in meta.jobs} - - task_id_to_quality_report_data: dict[int, QualityReportData] = {} - task_id_to_val_layout: dict[int, cvat_api.models.TaskValidationLayoutRead] = {} - task_id_to_honeypots_mapping: dict[int, _HoneypotFrameToValFrame] = {} - - # store sequence of frame names for each task - # task honeypot with frame index matches the sequence[index] - task_id_to_sequence_of_frame_names: dict[int, list[str]] = {} - - task_id_to_labels: dict[int, list[str]] = {} - - min_quality = manifest.validation.min_quality - - job_id_to_quality_report: dict[int, cvat_api.models.QualityReport] = {} - - for cvat_task_id in cvat_task_ids: - # obtain quality report details - task_labels = cvat_api.get_task_labels(cvat_task_id) - task_quality_report = cvat_api.get_task_quality_report(cvat_task_id) - task_quality_report_data = cvat_api.get_quality_report_data(task_quality_report.id) - task_id_to_quality_report_data[cvat_task_id] = task_quality_report_data - - # obtain task validation layout and define honeypots mapping - task_val_layout = cvat_api.get_task_validation_layout(cvat_task_id) - task_honeypot_frame_to_real = { - f: task_val_layout.honeypot_real_frames[idx] - for idx, f in enumerate(task_val_layout.honeypot_frames) - } - task_id_to_val_layout[cvat_task_id] = task_val_layout - task_id_to_honeypots_mapping[cvat_task_id] = task_honeypot_frame_to_real - task_id_to_sequence_of_frame_names[cvat_task_id] = [ - frame.name for frame in cvat_api.get_task_data_meta(cvat_task_id).frames - ] - task_id_to_labels[cvat_task_id] = task_labels - - # obtain quality reports for each job from the task - job_id_to_quality_report.update( - { - quality_report.job_id: quality_report - for quality_report in cvat_api.get_jobs_quality_reports(task_quality_report.id) - } - ) - - # accepted jobs from the previous epochs are not included - for job_meta in meta.jobs: - cvat_job_id = job_meta.job_id - cvat_task_id = job_meta.task_id - - # assess quality of the job's honeypots - task_quality_report_data = task_id_to_quality_report_data[cvat_task_id] - task_frame_names = task_id_to_sequence_of_frame_names[cvat_task_id] - task_honeypots = set(task_id_to_val_layout[cvat_task_id].honeypot_frames) - task_honeypots_mapping = task_id_to_honeypots_mapping[cvat_task_id] - task_labels = task_id_to_labels[cvat_task_id] - - job_honeypots = task_honeypots & set(job_meta.job_frame_range) - if not job_honeypots: - job_results[cvat_job_id] = self.UNKNOWN_QUALITY - rejected_jobs[cvat_job_id] = TooFewGtError - continue - - for honeypot in job_honeypots: - val_frame = task_honeypots_mapping[honeypot] - val_frame_name = task_frame_names[val_frame] - val_frame_key = GtKey(filename=val_frame_name, labels=task_labels) - - result = task_quality_report_data.frame_results[str(honeypot)] - self._gt_stats.setdefault(val_frame_key, ValidationFrameStats()) - self._gt_stats[val_frame_key].accumulated_quality += result.annotations.accuracy - - if result.annotations.accuracy < min_quality: - self._gt_stats[val_frame_key].failed_attempts += 1 - else: - self._gt_stats[val_frame_key].accepted_attempts += 1 - - # assess job quality - job_quality_report = job_id_to_quality_report[cvat_job_id] - - accuracy = job_quality_report.summary.accuracy - - job_results[cvat_job_id] = accuracy - - if accuracy < min_quality: - rejected_jobs[cvat_job_id] = LowAccuracyError() - - for gt_stat in self._gt_stats.values(): - gt_stat.total_uses = max( - gt_stat.total_uses, - gt_stat.failed_attempts + gt_stat.accepted_attempts, - # at the first iteration we have no information on total uses - # from previous iterations, so we derive it from the validation results - ) - - self._job_results = job_results - self._rejected_jobs = rejected_jobs - self._task_id_to_val_layout = task_id_to_val_layout - self._task_id_to_honeypots_mapping = task_id_to_honeypots_mapping - self._task_id_to_sequence_of_frame_names = task_id_to_sequence_of_frame_names - self._task_id_to_labels = task_id_to_labels - - def validate(self) -> _ValidationResult: - with TemporaryDirectory() as tempdir: - self._temp_dir = Path(tempdir) - - self._validate_jobs() - - return _ValidationResult( - job_results=self._require_field(self._job_results), - rejected_jobs=self._require_field(self._rejected_jobs), - gt_stats=self._require_field(self._gt_stats), - task_id_to_val_layout=self._require_field(self._task_id_to_val_layout), - task_id_to_honeypots_mapping=self._require_field(self._task_id_to_honeypots_mapping), - task_id_to_frame_names=self._require_field(self._task_id_to_sequence_of_frame_names), - task_id_to_labels=self._require_field(self._task_id_to_labels), - ) - - -class _TaskAnnotationMerger(_TaskHandler): - def __init__( - self, - escrow_address: str, - chain_id: int, - manifest: ManifestBase, - *, - merged_annotations: io.IOBase, - ) -> None: - super().__init__(escrow_address=escrow_address, chain_id=chain_id, manifest=manifest) - - self._merged_annotations: io.IOBase = merged_annotations - - self._updated_merged_dataset_archive: io.IOBase | None = None - - self._temp_dir: Path | None = None - self._input_gt_dataset: dm.Dataset | None = None - - def _parse_gt_dataset(self, gt_file_data: bytes) -> dm.Dataset: - with TemporaryDirectory() as gt_temp_dir: - gt_filename = os.path.join(gt_temp_dir, "gt_annotations.json") - with open(gt_filename, "wb") as f: - f.write(gt_file_data) - - gt_dataset = dm.Dataset.import_from( - gt_filename, - format=DM_GT_DATASET_FORMAT_MAPPING[get_manifest_task_type(self.manifest)], - ) - - gt_dataset.init_cache() - - return gt_dataset - - def _load_gt_dataset(self): - input_gt_bucket = BucketAccessInfo.parse_obj(self.manifest.validation.gt_url) - gt_bucket_client = make_cloud_client(input_gt_bucket) - gt_data = gt_bucket_client.download_file(input_gt_bucket.path) - self._input_gt_dataset = self._parse_gt_dataset(gt_data) - - def _restore_original_image_paths(self, merged_dataset: dm.Dataset) -> dm.Dataset: - class RemoveCommonPrefix(dm.ItemTransform): - def __init__(self, extractor: dm.IExtractor, *, prefix: str) -> None: - super().__init__(extractor) - self._prefix = prefix - - def transform_item(self, item: dm.DatasetItem) -> dm.DatasetItem: - if item.id.startswith(self._prefix): - item = item.wrap(id=item.id[len(self._prefix) :]) - return item - - prefix = BucketAccessInfo.parse_obj(self.manifest.data.data_url).path.strip("/\\") + "/" - - # Remove prefixes if it can be done safely - sample_ids = {sample.id for sample in merged_dataset} - if all( - sample_id.startswith(prefix) and (sample_id[len(prefix) :] not in sample_ids) - for sample_id in sample_ids - ): - merged_dataset.transform(RemoveCommonPrefix, prefix=prefix) - - return merged_dataset - - def _prepare_merged_dataset(self): - tempdir = self._require_field(self._temp_dir) - manifest = self._require_field(self.manifest) - merged_annotations = self._require_field(self._merged_annotations) - input_gt_dataset = self._require_field(self._input_gt_dataset) - - merged_dataset_path = tempdir / "merged" - merged_dataset_format = DM_DATASET_FORMAT_MAPPING[get_manifest_task_type(manifest)] - extract_zip_archive(merged_annotations, merged_dataset_path) - - merged_dataset = dm.Dataset.import_from( - os.fspath(merged_dataset_path), format=merged_dataset_format - ) - self._restore_original_image_paths(merged_dataset) - self._put_gt_into_merged_dataset(input_gt_dataset, merged_dataset, manifest=manifest) - - updated_merged_dataset_path = tempdir / "merged_updated" - merged_dataset.export( - updated_merged_dataset_path, merged_dataset_format, save_media=False, reindex=True - ) - - updated_merged_dataset_archive = io.BytesIO() - write_dir_to_zip_archive(updated_merged_dataset_path, updated_merged_dataset_archive) - updated_merged_dataset_archive.seek(0) - - self._updated_merged_dataset_archive = updated_merged_dataset_archive - - @classmethod - def _put_gt_into_merged_dataset( - cls, input_gt_dataset: dm.Dataset, merged_dataset: dm.Dataset, *, manifest: ManifestBase - ) -> None: - """ - Updates the merged dataset inplace, writing GT annotations corresponding to the task type. - """ - - match get_manifest_task_type(manifest): - case TaskTypes.image_boxes.value | TaskTypes.image_polygons.value: - merged_dataset.update(input_gt_dataset) - case TaskTypes.image_points.value: - merged_label_cat: dm.LabelCategories = merged_dataset.categories()[ - dm.AnnotationType.label - ] - - # we support no more than 1 label so far - assert len(manifest.annotation.labels) == 1 - - skeleton_label_id = next( - i for i, label in enumerate(merged_label_cat) if not label.parent - ) - point_label_id = next(i for i, label in enumerate(merged_label_cat) if label.parent) - - for sample in input_gt_dataset: - annotations = [ - dm.Skeleton( - elements=[ - # Put a point in the center of each GT bbox - # Not ideal, but it's the target for now - dm.Points( - [bbox.x + bbox.w / 2, bbox.y + bbox.h / 2], - label=point_label_id, - attributes=bbox.attributes, - ) - ], - label=skeleton_label_id, - ) - for bbox in sample.annotations - if isinstance(bbox, dm.Bbox) - ] - merged_dataset.put(sample.wrap(annotations=annotations)) - case TaskTypes.image_label_binary.value: - merged_dataset.update(input_gt_dataset) - case TaskTypes.image_boxes_from_points: - merged_dataset.update(input_gt_dataset) - case TaskTypes.image_skeletons_from_boxes: - # The original behavior of project_labels is broken for skeletons - input_gt_dataset = dm.Dataset(input_gt_dataset) - input_gt_dataset = input_gt_dataset.transform( - ProjectLabels, dst_labels=merged_dataset.categories()[dm.AnnotationType.label] - ) - merged_dataset.update(input_gt_dataset) - case _: - raise AssertionError(f"Unknown task type {get_manifest_task_type(manifest)}") - - def merge_results(self) -> io.IOBase: - with TemporaryDirectory() as tempdir: - self._temp_dir = Path(tempdir) - - self._load_gt_dataset() - self._prepare_merged_dataset() - - return self._require_field(self._updated_merged_dataset_archive) - - -@dataclass -class _HoneypotUpdateResult: - updated_gt_stats: GtStats - can_continue_annotation: bool - _K = TypeVar("_K") @@ -770,15 +403,15 @@ def process_intermediate_results( # noqa: PLR0912 for gt_stat in db_service.get_task_gt_stats(session, task.id) } - validator = _TaskValidator( - escrow_address=escrow_address, - chain_id=chain_id, - manifest=manifest, + checker = create_quality_checker( + manifest, + escrow_address, + chain_id, meta=unchecked_jobs_meta, gt_stats=gt_stats, ) - validation_result = validator.validate() + validation_result = checker.validate() job_results = validation_result.job_results rejected_jobs = validation_result.rejected_jobs @@ -926,112 +559,6 @@ def process_intermediate_results( # noqa: PLR0912 job_results=job_results, validation_meta=validation_meta, average_quality=np.mean( - [v for v in job_results.values() if v != _TaskValidator.UNKNOWN_QUALITY and v >= 0] - or [0] + [v for v in job_results.values() if v != UNKNOWN_QUALITY and v >= 0] or [0] ), ) - - -def process_final_results( - session: Session, - *, - escrow_address: str, - chain_id: int, - meta: AnnotationMeta, - merged_annotations: io.RawIOBase, - manifest: ManifestBase, - logger: logging.Logger, -) -> FinalResult: - assert logger # unused - - task = db_service.get_task_by_escrow_address( - session, - escrow_address, - for_update=ForUpdateParams( - nowait=True - ), # should not happen, but waiting should not block processing - ) - if not task: - raise AssertionError(f"Validation results for escrow {escrow_address} not found") - - merger = _TaskAnnotationMerger( - escrow_address=escrow_address, - chain_id=chain_id, - manifest=manifest, - merged_annotations=merged_annotations, - ) - - merged_annotations = merger.merge_results() - - job_final_result_ids: dict[str, str] = {} - - for job_meta in meta.jobs: - job = db_service.get_job_by_cvat_id(session, job_meta.job_id) - if not job: - raise AssertionError( - f"Can't find validation results for job " f"{job_meta.job_id} ({escrow_address=})" - ) - - assignment_validation_result = db_service.get_validation_result_by_assignment_id( - session, job_meta.assignment_id - ) - if not assignment_validation_result: - raise AssertionError( - f"Can't find validation results for assignments " - f"{job_meta.assignment_id} ({escrow_address=})" - ) - - job_final_result_ids[job.id] = assignment_validation_result.id - - task_jobs = task.jobs - - task_validation_results = db_service.get_task_validation_results(session, task.id) - - job_id_to_meta_id = {job.id: i for i, job in enumerate(task_jobs)} - - validation_result_id_to_meta_id = {r.id: i for i, r in enumerate(task_validation_results)} - - validation_meta = ValidationMeta( - jobs=[ - JobMeta( - job_id=job_id_to_meta_id[job.id], - final_result_id=validation_result_id_to_meta_id[job_final_result_ids[job.id]], - ) - for job in task_jobs - ], - results=[ - ResultMeta( - id=validation_result_id_to_meta_id[r.id], - job_id=job_id_to_meta_id[r.job.id], - annotator_wallet_address=r.annotator_wallet_address, - annotation_quality=r.annotation_quality, - ) - for r in task_validation_results - ], - ) - - # Include final results for all jobs - job_results: _JobResults = { - job.cvat_id: task_validation_results[ - validation_result_id_to_meta_id[job_final_result_ids[job.id]] - ].annotation_quality - for job in task_jobs - } - - return FinalResult( - job_results=job_results, - validation_meta=validation_meta, - resulting_annotations=merged_annotations.read(), - average_quality=np.mean( - [v for v in job_results.values() if v != _TaskValidator.UNKNOWN_QUALITY and v >= 0] - or [0] - ), - ) - - -def parse_annotation_metafile(metafile: io.RawIOBase) -> AnnotationMeta: - return AnnotationMeta.model_validate_json(metafile.read()) - - -def serialize_validation_meta(validation_meta: ValidationMeta) -> bytes: - return validation_meta.model_dump_json().encode() diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/meta.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/meta.py new file mode 100644 index 0000000000..fd2d87b834 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/meta.py @@ -0,0 +1,18 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +from src.core.annotation_meta import AnnotationMeta + +if TYPE_CHECKING: + import io + + from src.core.validation_meta import ValidationMeta + + +def parse_annotation_metafile(metafile: io.RawIOBase) -> AnnotationMeta: + return AnnotationMeta.model_validate_json(metafile.read()) + + +def serialize_validation_meta(validation_meta: ValidationMeta) -> bytes: + return validation_meta.model_dump_json().encode() diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/__init__.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py new file mode 100644 index 0000000000..0e85ddd8c3 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py @@ -0,0 +1,8 @@ +from __future__ import annotations + +from src.handlers.validation.quality_checkers.base import TaskQualityChecker + + +class AudioTaskQualityChecker(TaskQualityChecker): + def _validate_jobs(self) -> None: + raise NotImplementedError("audio_transcription validation not implemented yet") diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/base.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/base.py new file mode 100644 index 0000000000..f029628eb2 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/base.py @@ -0,0 +1,60 @@ +from __future__ import annotations + +from abc import ABCMeta, abstractmethod +from pathlib import Path +from tempfile import TemporaryDirectory +from typing import TYPE_CHECKING + +from src.handlers.validation.common import _TaskHandler, _ValidationResult + +if TYPE_CHECKING: + from src.core.annotation_meta import AnnotationMeta + from src.core.gt_stats import GtStats + from src.core.manifest import ManifestBase + from src.handlers.validation.common import _JobResults, _RejectedJobs + + +class TaskQualityChecker(_TaskHandler, metaclass=ABCMeta): + def __init__( + self, + escrow_address: str, + chain_id: int, + manifest: ManifestBase, + *, + meta: AnnotationMeta, + gt_stats: GtStats | None = None, + ) -> None: + super().__init__(escrow_address=escrow_address, chain_id=chain_id, manifest=manifest) + + self._gt_stats: GtStats = gt_stats or {} + + self._job_results: _JobResults | None = None + self._rejected_jobs: _RejectedJobs | None = None + + self._temp_dir: Path | None = None + self._meta: AnnotationMeta = meta + + @abstractmethod + def _validate_jobs(self) -> None: + """ + Compute per-job quality and populate: + ``_job_results``, ``_rejected_jobs``, ``_gt_stats``, ``_task_id_to_val_layout``, + ``_task_id_to_honeypots_mapping``, ``_task_id_to_sequence_of_frame_names``, + ``_task_id_to_labels``. + """ + + def validate(self) -> _ValidationResult: + with TemporaryDirectory() as tempdir: + self._temp_dir = Path(tempdir) + + self._validate_jobs() + + return _ValidationResult( + job_results=self._require_field(self._job_results), + rejected_jobs=self._require_field(self._rejected_jobs), + gt_stats=self._require_field(self._gt_stats), + task_id_to_val_layout=self._require_field(self._task_id_to_val_layout), + task_id_to_honeypots_mapping=self._require_field(self._task_id_to_honeypots_mapping), + task_id_to_frame_names=self._require_field(self._task_id_to_sequence_of_frame_names), + task_id_to_labels=self._require_field(self._task_id_to_labels), + ) diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/factory.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/factory.py new file mode 100644 index 0000000000..a6d012304e --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/factory.py @@ -0,0 +1,42 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +from src.core.manifest import get_manifest_task_type +from src.core.tasks import TaskTypes +from src.handlers.validation.quality_checkers.audio import AudioTaskQualityChecker +from src.handlers.validation.quality_checkers.image import ImageTaskQualityChecker + +if TYPE_CHECKING: + from src.core.annotation_meta import AnnotationMeta + from src.core.gt_stats import GtStats + from src.core.manifest import ManifestBase + from src.handlers.validation.quality_checkers.base import TaskQualityChecker + + +def create_quality_checker( + manifest: ManifestBase, + escrow_address: str, + chain_id: int, + *, + meta: AnnotationMeta, + gt_stats: GtStats | None = None, +) -> TaskQualityChecker: + task_type = get_manifest_task_type(manifest) + + match task_type: + case TaskTypes.audio_transcription: + checker_type = AudioTaskQualityChecker + case ( + TaskTypes.image_label_binary + | TaskTypes.image_boxes + | TaskTypes.image_polygons + | TaskTypes.image_points + | TaskTypes.image_boxes_from_points + | TaskTypes.image_skeletons_from_boxes + ): + checker_type = ImageTaskQualityChecker + case _: + raise NotImplementedError(f"Unsupported task type '{task_type}'") + + return checker_type(escrow_address, chain_id, manifest, meta=meta, gt_stats=gt_stats) diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/image.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/image.py new file mode 100644 index 0000000000..337480d934 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/image.py @@ -0,0 +1,125 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +import src.cvat.api_calls as cvat_api +from src.core.gt_stats import GtKey, ValidationFrameStats +from src.core.validation_errors import LowAccuracyError, TooFewGtError +from src.handlers.validation.common import UNKNOWN_QUALITY +from src.handlers.validation.quality_checkers.base import TaskQualityChecker + +if TYPE_CHECKING: + from src.cvat.interface import QualityReportData + from src.handlers.validation.common import _HoneypotFrameToValFrame, _JobResults, _RejectedJobs + + +class ImageTaskQualityChecker(TaskQualityChecker): + def _validate_jobs(self) -> None: + manifest = self._require_field(self.manifest) + meta = self._require_field(self._meta) + if manifest.version != 1: + raise NotImplementedError + + job_results: _JobResults = {} + rejected_jobs: _RejectedJobs = {} + + cvat_task_ids = {job_meta.task_id for job_meta in meta.jobs} + + task_id_to_quality_report_data: dict[int, QualityReportData] = {} + task_id_to_val_layout: dict[int, cvat_api.models.TaskValidationLayoutRead] = {} + task_id_to_honeypots_mapping: dict[int, _HoneypotFrameToValFrame] = {} + + # store sequence of frame names for each task + # task honeypot with frame index matches the sequence[index] + task_id_to_sequence_of_frame_names: dict[int, list[str]] = {} + + task_id_to_labels: dict[int, list[str]] = {} + + min_quality = manifest.validation.min_quality + + job_id_to_quality_report: dict[int, cvat_api.models.QualityReport] = {} + + for cvat_task_id in cvat_task_ids: + # obtain quality report details + task_labels = cvat_api.get_task_labels(cvat_task_id) + task_quality_report = cvat_api.get_task_quality_report(cvat_task_id) + task_quality_report_data = cvat_api.get_quality_report_data(task_quality_report.id) + task_id_to_quality_report_data[cvat_task_id] = task_quality_report_data + + # obtain task validation layout and define honeypots mapping + task_val_layout = cvat_api.get_task_validation_layout(cvat_task_id) + task_honeypot_frame_to_real = { + f: task_val_layout.honeypot_real_frames[idx] + for idx, f in enumerate(task_val_layout.honeypot_frames) + } + task_id_to_val_layout[cvat_task_id] = task_val_layout + task_id_to_honeypots_mapping[cvat_task_id] = task_honeypot_frame_to_real + task_id_to_sequence_of_frame_names[cvat_task_id] = [ + frame.name for frame in cvat_api.get_task_data_meta(cvat_task_id).frames + ] + task_id_to_labels[cvat_task_id] = task_labels + + # obtain quality reports for each job from the task + job_id_to_quality_report.update( + { + quality_report.job_id: quality_report + for quality_report in cvat_api.get_jobs_quality_reports(task_quality_report.id) + } + ) + + # accepted jobs from the previous epochs are not included + for job_meta in meta.jobs: + cvat_job_id = job_meta.job_id + cvat_task_id = job_meta.task_id + + # assess quality of the job's honeypots + task_quality_report_data = task_id_to_quality_report_data[cvat_task_id] + task_frame_names = task_id_to_sequence_of_frame_names[cvat_task_id] + task_honeypots = set(task_id_to_val_layout[cvat_task_id].honeypot_frames) + task_honeypots_mapping = task_id_to_honeypots_mapping[cvat_task_id] + task_labels = task_id_to_labels[cvat_task_id] + + job_honeypots = task_honeypots & set(job_meta.job_frame_range) + if not job_honeypots: + job_results[cvat_job_id] = UNKNOWN_QUALITY + rejected_jobs[cvat_job_id] = TooFewGtError + continue + + for honeypot in job_honeypots: + val_frame = task_honeypots_mapping[honeypot] + val_frame_name = task_frame_names[val_frame] + val_frame_key = GtKey(filename=val_frame_name, labels=task_labels) + + result = task_quality_report_data.frame_results[str(honeypot)] + self._gt_stats.setdefault(val_frame_key, ValidationFrameStats()) + self._gt_stats[val_frame_key].accumulated_quality += result.annotations.accuracy + + if result.annotations.accuracy < min_quality: + self._gt_stats[val_frame_key].failed_attempts += 1 + else: + self._gt_stats[val_frame_key].accepted_attempts += 1 + + # assess job quality + job_quality_report = job_id_to_quality_report[cvat_job_id] + + accuracy = job_quality_report.summary.accuracy + + job_results[cvat_job_id] = accuracy + + if accuracy < min_quality: + rejected_jobs[cvat_job_id] = LowAccuracyError() + + for gt_stat in self._gt_stats.values(): + gt_stat.total_uses = max( + gt_stat.total_uses, + gt_stat.failed_attempts + gt_stat.accepted_attempts, + # at the first iteration we have no information on total uses + # from previous iterations, so we derive it from the validation results + ) + + self._job_results = job_results + self._rejected_jobs = rejected_jobs + self._task_id_to_val_layout = task_id_to_val_layout + self._task_id_to_honeypots_mapping = task_id_to_honeypots_mapping + self._task_id_to_sequence_of_frame_names = task_id_to_sequence_of_frame_names + self._task_id_to_labels = task_id_to_labels diff --git a/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py b/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py index e901f89c14..13453cc81b 100644 --- a/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py +++ b/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py @@ -24,7 +24,7 @@ from src.core.validation_results import ValidationFailure, ValidationSuccess from src.cvat import api_calls as cvat_api from src.db import SessionLocal -from src.handlers.process_intermediate_results import ( +from src.handlers.validation import ( process_final_results, process_intermediate_results, ) @@ -129,7 +129,7 @@ def test_can_handle_lowered_quality_requirements_in_manifest(self, session: Sess logger = mock.Mock(Logger) common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.BucketAccessInfo.parse_obj") + mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj") ) common_lock_es.enter_context( @@ -137,13 +137,13 @@ def test_can_handle_lowered_quality_requirements_in_manifest(self, session: Sess ) mock_make_cloud_client = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.make_cloud_client") + mock.patch("src.handlers.validation.final_results.make_cloud_client") ) mock_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") mock_get_task_validation_layout = common_lock_es.enter_context( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_validation_layout" + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_validation_layout" ) ) mock_get_task_validation_layout.return_value = mock.Mock( @@ -156,7 +156,7 @@ def test_can_handle_lowered_quality_requirements_in_manifest(self, session: Sess ) mock_get_task_data_meta = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.cvat_api.get_task_data_meta") + mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta") ) mock_get_task_data_meta.return_value = mock.Mock( cvat_api.models.IDataMetaRead, @@ -164,7 +164,7 @@ def test_can_handle_lowered_quality_requirements_in_manifest(self, session: Sess ) mock_get_task_labels = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.cvat_api.get_task_labels") + mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_labels") ) mock_get_task_labels.return_value = [label.name for label in manifest.annotation.labels] @@ -183,16 +183,16 @@ def test_can_handle_lowered_quality_requirements_in_manifest(self, session: Sess with ( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_quality_report" + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_quality_report" ) as mock_get_task_quality_report, mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_quality_report_data" + "src.handlers.validation.quality_checkers.image.cvat_api.get_quality_report_data" ) as mock_get_quality_report_data, mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_jobs_quality_reports" + "src.handlers.validation.quality_checkers.image.cvat_api.get_jobs_quality_reports" ) as mock_get_jobs_quality_reports, mock.patch( - "src.handlers.process_intermediate_results.cvat_api.update_task_validation_layout" + "src.handlers.validation.quality_checkers.image.cvat_api.update_task_validation_layout" ), mock.patch("src.core.config.ValidationConfig.min_available_gt_threshold", 0), mock.patch("src.core.config.ValidationConfig.max_gt_share", 1), @@ -233,13 +233,13 @@ def test_can_handle_lowered_quality_requirements_in_manifest(self, session: Sess with ( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_quality_report" + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_quality_report" ) as mock_get_task_quality_report, mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_quality_report_data" + "src.handlers.validation.quality_checkers.image.cvat_api.get_quality_report_data" ) as mock_get_quality_report_data, mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_jobs_quality_reports" + "src.handlers.validation.quality_checkers.image.cvat_api.get_jobs_quality_reports" ) as mock_get_jobs_quality_reports, ): mock_get_task_quality_report.return_value = mock.Mock( @@ -333,17 +333,17 @@ def test_can_change_bad_honeypots_in_jobs(self, session: Session, seed: int): logger = mock.Mock(Logger) common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.BucketAccessInfo.parse_obj") + mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj") ) mock_make_cloud_client = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.make_cloud_client") + mock.patch("src.handlers.validation.final_results.make_cloud_client") ) mock_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") mock_get_task_validation_layout = common_lock_es.enter_context( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_validation_layout" + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_validation_layout" ) ) mock_get_task_validation_layout.return_value = mock.Mock( @@ -357,7 +357,7 @@ def test_can_change_bad_honeypots_in_jobs(self, session: Session, seed: int): ) mock_get_task_data_meta = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.cvat_api.get_task_data_meta") + mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta") ) mock_get_task_data_meta.return_value = mock.Mock( cvat_api.models.IDataMetaRead, @@ -365,7 +365,7 @@ def test_can_change_bad_honeypots_in_jobs(self, session: Session, seed: int): ) mock_get_task_labels = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.cvat_api.get_task_labels") + mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_labels") ) mock_get_task_labels.return_value = [label.name for label in manifest.annotation.labels] @@ -388,16 +388,16 @@ def test_can_change_bad_honeypots_in_jobs(self, session: Session, seed: int): with ( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_quality_report" + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_quality_report" ) as mock_get_task_quality_report, mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_quality_report_data" + "src.handlers.validation.quality_checkers.image.cvat_api.get_quality_report_data" ) as mock_get_quality_report_data, mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_jobs_quality_reports" + "src.handlers.validation.quality_checkers.image.cvat_api.get_jobs_quality_reports" ) as mock_get_jobs_quality_reports, mock.patch( - "src.handlers.process_intermediate_results.cvat_api.update_task_validation_layout" + "src.handlers.validation.quality_checkers.image.cvat_api.update_task_validation_layout" ) as mock_update_task_validation_layout, mock.patch("src.core.config.ValidationConfig.min_available_gt_threshold", 0), mock.patch("src.core.config.ValidationConfig.max_gt_share", 1), @@ -568,17 +568,17 @@ def test_can_stop_on_slow_annotation_after_warmup_iterations(self, session: Sess logger = mock.Mock(Logger) common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.BucketAccessInfo.parse_obj") + mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj") ) mock_make_cloud_client = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.make_cloud_client") + mock.patch("src.handlers.validation.final_results.make_cloud_client") ) mock_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") mock_get_task_validation_layout = common_lock_es.enter_context( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_validation_layout" + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_validation_layout" ) ) mock_get_task_validation_layout.return_value = mock.Mock( @@ -591,7 +591,7 @@ def test_can_stop_on_slow_annotation_after_warmup_iterations(self, session: Sess ) mock_get_task_data_meta = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.cvat_api.get_task_data_meta") + mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta") ) mock_get_task_data_meta.return_value = mock.Mock( cvat_api.models.IDataMetaRead, @@ -599,7 +599,7 @@ def test_can_stop_on_slow_annotation_after_warmup_iterations(self, session: Sess ) mock_get_task_labels = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.cvat_api.get_task_labels") + mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_labels") ) mock_get_task_labels.return_value = [label.name for label in manifest.annotation.labels] @@ -618,16 +618,16 @@ def test_can_stop_on_slow_annotation_after_warmup_iterations(self, session: Sess with ( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_quality_report" + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_quality_report" ) as mock_get_task_quality_report, mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_quality_report_data" + "src.handlers.validation.quality_checkers.image.cvat_api.get_quality_report_data" ) as mock_get_quality_report_data, mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_jobs_quality_reports" + "src.handlers.validation.quality_checkers.image.cvat_api.get_jobs_quality_reports" ) as mock_get_jobs_quality_reports, mock.patch( - "src.handlers.process_intermediate_results.cvat_api.update_task_validation_layout" + "src.handlers.validation.quality_checkers.image.cvat_api.update_task_validation_layout" ), mock.patch("src.core.config.ValidationConfig.min_available_gt_threshold", 0), mock.patch("src.core.config.ValidationConfig.max_gt_share", 1), @@ -685,18 +685,18 @@ def test_can_exclude_bad_gt_for_each_label_separately(self, session: Session): logger = mock.Mock(Logger) common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.BucketAccessInfo.parse_obj") + mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj") ) mock_make_cloud_client = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.make_cloud_client") + mock.patch("src.handlers.validation.final_results.make_cloud_client") ) mock_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") # All tasks have the same validation layout mock_get_task_validation_layout = common_lock_es.enter_context( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_validation_layout", + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_validation_layout", ) ) mock_get_task_validation_layout.return_value = mock.Mock( @@ -710,7 +710,7 @@ def test_can_exclude_bad_gt_for_each_label_separately(self, session: Session): # All tasks have the same frames mock_get_task_data_meta = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.cvat_api.get_task_data_meta") + mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta") ) mock_get_task_data_meta.return_value = mock.Mock( cvat_api.models.IDataMetaRead, @@ -722,7 +722,7 @@ def patched_get_task_labels(task_id: int): common_lock_es.enter_context( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_labels", + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_labels", patched_get_task_labels, ) ) @@ -782,19 +782,19 @@ def patched_get_jobs_quality_reports(task_id: int): with ( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_quality_report", + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_quality_report", side_effect=patched_get_task_quality_report, ) as mock_get_task_quality_report, mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_quality_report_data", + "src.handlers.validation.quality_checkers.image.cvat_api.get_quality_report_data", patched_get_quality_report_data, ), mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_jobs_quality_reports", + "src.handlers.validation.quality_checkers.image.cvat_api.get_jobs_quality_reports", patched_get_jobs_quality_reports, ), mock.patch( - "src.handlers.process_intermediate_results.cvat_api.update_task_validation_layout" + "src.handlers.validation.quality_checkers.image.cvat_api.update_task_validation_layout" ) as mock_update_task_validation_layout, mock.patch("src.core.config.ValidationConfig.min_available_gt_threshold", 0), mock.patch("src.core.config.ValidationConfig.max_gt_share", 1), @@ -866,18 +866,18 @@ def test_can_complete_if_not_enough_gt_left_in_task_with_several_jobs( logger = logging.getLogger() common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.BucketAccessInfo.parse_obj") + mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj") ) mock_make_cloud_client = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.make_cloud_client") + mock.patch("src.handlers.validation.final_results.make_cloud_client") ) mock_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") # All tasks have the same validation layout mock_get_task_validation_layout = common_lock_es.enter_context( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_validation_layout", + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_validation_layout", ) ) mock_get_task_validation_layout.return_value = mock.Mock( @@ -891,7 +891,7 @@ def test_can_complete_if_not_enough_gt_left_in_task_with_several_jobs( # All tasks have the same frames mock_get_task_data_meta = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.cvat_api.get_task_data_meta") + mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta") ) mock_get_task_data_meta.return_value = mock.Mock( cvat_api.models.IDataMetaRead, @@ -903,7 +903,7 @@ def patched_get_task_labels(task_id: int): common_lock_es.enter_context( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_labels", + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_labels", patched_get_task_labels, ) ) @@ -963,19 +963,19 @@ def patched_get_jobs_quality_reports(task_id: int): with ( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_quality_report", + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_quality_report", side_effect=patched_get_task_quality_report, ), mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_quality_report_data", + "src.handlers.validation.quality_checkers.image.cvat_api.get_quality_report_data", patched_get_quality_report_data, ), mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_jobs_quality_reports", + "src.handlers.validation.quality_checkers.image.cvat_api.get_jobs_quality_reports", patched_get_jobs_quality_reports, ), mock.patch( - "src.handlers.process_intermediate_results.cvat_api.update_task_validation_layout" + "src.handlers.validation.quality_checkers.image.cvat_api.update_task_validation_layout" ) as mock_update_task_validation_layout, mock.patch("src.core.config.ValidationConfig.min_available_gt_threshold", 0.7), mock.patch("src.core.config.ValidationConfig.max_gt_share", 1), @@ -1020,18 +1020,18 @@ def test_can_complete_if_not_enough_gt_left_in_task_with_one_job( logger = logging.getLogger() common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.BucketAccessInfo.parse_obj") + mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj") ) mock_make_cloud_client = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.make_cloud_client") + mock.patch("src.handlers.validation.final_results.make_cloud_client") ) mock_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") # All tasks have the same validation layout mock_get_task_validation_layout = common_lock_es.enter_context( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_validation_layout", + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_validation_layout", ) ) mock_get_task_validation_layout.return_value = mock.Mock( @@ -1045,7 +1045,7 @@ def test_can_complete_if_not_enough_gt_left_in_task_with_one_job( # All tasks have the same frames mock_get_task_data_meta = common_lock_es.enter_context( - mock.patch("src.handlers.process_intermediate_results.cvat_api.get_task_data_meta") + mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta") ) mock_get_task_data_meta.return_value = mock.Mock( cvat_api.models.IDataMetaRead, @@ -1057,7 +1057,7 @@ def patched_get_task_labels(task_id: int): common_lock_es.enter_context( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_labels", + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_labels", patched_get_task_labels, ) ) @@ -1101,19 +1101,19 @@ def patched_get_jobs_quality_reports(task_id: int): with ( mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_task_quality_report", + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_quality_report", side_effect=patched_get_task_quality_report, ), mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_quality_report_data", + "src.handlers.validation.quality_checkers.image.cvat_api.get_quality_report_data", patched_get_quality_report_data, ), mock.patch( - "src.handlers.process_intermediate_results.cvat_api.get_jobs_quality_reports", + "src.handlers.validation.quality_checkers.image.cvat_api.get_jobs_quality_reports", patched_get_jobs_quality_reports, ), mock.patch( - "src.handlers.process_intermediate_results.cvat_api.update_task_validation_layout" + "src.handlers.validation.quality_checkers.image.cvat_api.update_task_validation_layout" ) as mock_update_task_validation_layout, mock.patch("src.core.config.ValidationConfig.min_available_gt_threshold", 0), mock.patch("src.core.config.ValidationConfig.max_gt_share", 1), @@ -1174,15 +1174,15 @@ def patched_prepare_merged_dataset(self): self._updated_merged_dataset_archive = io.BytesIO(b"test") with ( - mock.patch("src.handlers.process_intermediate_results.BucketAccessInfo.parse_obj"), + mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj"), mock.patch( - "src.handlers.process_intermediate_results.make_cloud_client" + "src.handlers.validation.final_results.make_cloud_client" ) as mock_make_cloud_client, - mock.patch("src.handlers.process_intermediate_results.dm.Dataset.import_from"), - mock.patch("src.handlers.process_intermediate_results.extract_zip_archive"), - mock.patch("src.handlers.process_intermediate_results.write_dir_to_zip_archive"), + mock.patch("src.handlers.validation.final_results.dm.Dataset.import_from"), + mock.patch("src.handlers.validation.final_results.extract_zip_archive"), + mock.patch("src.handlers.validation.final_results.write_dir_to_zip_archive"), mock.patch( - "src.handlers.process_intermediate_results._TaskAnnotationMerger._prepare_merged_dataset", + "src.handlers.validation.final_results._TaskAnnotationMerger._prepare_merged_dataset", patched_prepare_merged_dataset, ), ): From 5725e0f474b16afdcc7581150c482bfdbc3f20e4 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 7 Jul 2026 19:01:22 +0300 Subject: [PATCH 24/53] add audio qe library --- .../examples/cvat/recording-oracle/Dockerfile | 2 + .../recording-oracle/libs/audio_qe/LICENSE | 21 + .../recording-oracle/libs/audio_qe/README.md | 67 + .../libs/audio_qe/audio_qe/__init__.py | 102 ++ .../libs/audio_qe/audio_qe/config.py | 90 ++ .../libs/audio_qe/audio_qe/data.py | 84 ++ .../audio_qe/audio_qe/interval_matching.py | 215 ++++ .../libs/audio_qe/audio_qe/normalization.py | 553 ++++++++ .../libs/audio_qe/audio_qe/pipeline.py | 24 + .../libs/audio_qe/audio_qe/reports.py | 165 +++ .../audio_qe/transcription_matching.py | 1116 +++++++++++++++++ .../libs/audio_qe/pyproject.toml | 18 + .../cvat/recording-oracle/pyproject.toml | 1 + 13 files changed, 2458 insertions(+) create mode 100644 packages/examples/cvat/recording-oracle/libs/audio_qe/LICENSE create mode 100644 packages/examples/cvat/recording-oracle/libs/audio_qe/README.md create mode 100644 packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/__init__.py create mode 100644 packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/config.py create mode 100644 packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/data.py create mode 100644 packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/interval_matching.py create mode 100644 packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/normalization.py create mode 100644 packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/pipeline.py create mode 100644 packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/reports.py create mode 100644 packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/transcription_matching.py create mode 100644 packages/examples/cvat/recording-oracle/libs/audio_qe/pyproject.toml diff --git a/packages/examples/cvat/recording-oracle/Dockerfile b/packages/examples/cvat/recording-oracle/Dockerfile index bdc0dd597c..db360bf074 100644 --- a/packages/examples/cvat/recording-oracle/Dockerfile +++ b/packages/examples/cvat/recording-oracle/Dockerfile @@ -8,6 +8,8 @@ RUN apt-get update -y && \ RUN pip install --no-cache 'poetry==1.8.5' +COPY libs ./libs + COPY pyproject.toml poetry.lock ./ RUN --mount=type=cache,target=/root/.cache \ diff --git a/packages/examples/cvat/recording-oracle/libs/audio_qe/LICENSE b/packages/examples/cvat/recording-oracle/libs/audio_qe/LICENSE new file mode 100644 index 0000000000..b17d8e9073 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/libs/audio_qe/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (C) CVAT.ai Corporation + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/packages/examples/cvat/recording-oracle/libs/audio_qe/README.md b/packages/examples/cvat/recording-oracle/libs/audio_qe/README.md new file mode 100644 index 0000000000..d1fba3a6f1 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/libs/audio_qe/README.md @@ -0,0 +1,67 @@ +# audio-qe + +Audio transcription quality estimation library for Recording Oracle. + +## Install + +Consumed by the recording oracle as an editable path dependency: + +```toml +audio-qe = {path = "libs/audio_qe", develop = true} +``` + +## Usage + +Inputs are `Interval` sequences (ground truth vs annotator); the transcription text lives in +`Interval.extra[req.text_attribute]`. + +```python +from audio_qe import Interval, TranscriptionRequirement, match_transcriptions + +gt = [Interval(id=0, start=0, stop=2000, label="speech", extra={"text": "hello world"})] +ds = [Interval(id=1, start=0, stop=2000, label="speech", extra={"text": "hello word"})] +req = TranscriptionRequirement(text_attribute="text") # WER, char-align, basic normalizer, join +report = match_transcriptions(gt, ds, req=req) +report.corpus_rate # aggregate error rate +``` + +Entrypoints: + +- `match_intervals(gs, ds, *, config)` - pairwise interval matching. +- `match_transcriptions(gt, ds, *, requirement)` - transcription matching. +- `compare(gt, ds, *, settings)` - interval and transcription matching. + +### Choosing settings + +`TranscriptionRequirement` has three orthogonal axes plus an optional binarizer: + +- **`granularity`** - the unit errors are reported in. `WORD` → WER; `CHARACTER` → CER + (use for CJK and other scripts without word boundaries). +- **`align`** - how the alignment runs. `CHAR` (default) aligns characters then rebuilds word + edits, so it tolerates word-boundary disagreements (`sunday` vs `sun day`); `WORD` is the classic, + word-level alignment with no boundary credit. +- **`metric`** - per-chunk cost. `EQUALITY` (default) is 0/1, i.e. classic WER/CER; `ERROR_RATE` + is recall-shaped (partial credit for near misses); `NORMALIZED_LEV` is symmetric and bounded + `[0, 1]` (use when neither side is the reference, e.g. inter-annotator agreement). +- **`threshold`** - binarizes a soft metric (`cost > threshold → 1`); no-op with `EQUALITY`. + Under `CHARACTER` granularity all metrics degenerate to equality (characters are atomic). + +**Normalizer presets** (applied to both texts before alignment): + +- `NormalizerConfig(mode=NONE)` - passthrough. +- `NormalizerConfig(mode=BASIC)` - universal Unicode + case + whitespace fold (language-agnostic). +- `lang_preset(code)` - language-specific preset (`BASIC` plus per-language rules). Supported codes: + `en, es, fr, de, it, pt, nl, pl, ru, tr, zh, ja, ko, hi, ar`. Unlisted languages fall back to + `BASIC`. + +`grouping.strategy`: +- `JOIN` (concatenate each group's text, then one alignment - default) +- `FILTER` (pair intervals by IoU first). + +Recommended default for annotator-vs-GT review: +`granularity=WORD, align=CHAR, metric=EQUALITY` - boundary-tolerant WER. + +## License + +MIT. Ported from [CVAT](https://github.com/cvat-ai/cvat). See [LICENSE](LICENSE); source files +retain their `SPDX-License-Identifier: MIT`. diff --git a/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/__init__.py b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/__init__.py new file mode 100644 index 0000000000..965ca81eed --- /dev/null +++ b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/__init__.py @@ -0,0 +1,102 @@ +# Copyright (C) CVAT.ai Corporation +# +# SPDX-License-Identifier: MIT + +"""Public surface of the audio QE pipeline. + +Domain types, settings, reports, and algorithms are defined in the +thematic sub-modules; this file re-exports the names callers most +often need so they can write `from cvat.apps.quality_control import +audio` and then access everything via `audio.X`. +""" + +from .config import ( + GroupingConfig, + IntervalMatchingConfig, + NormalizerConfig, + QualitySettings, + StepConfig, + TranscriptionRequirement, +) +from .data import ( + AlignMode, + EditOp, + Granularity, + GroupingStrategy, + GroupKey, + Interval, + Metric, + NormalizerMode, +) +from .interval_matching import match_intervals +from .normalization import ( + BASIC_STACK, + LANG_PRESETS, + SUPPORTED_LANGS, + Normalizer, + lang_preset, + register_step, + step_available, +) +from .pipeline import compare +from .reports import ( + AlignmentEdit, + AlignmentResult, + BoundaryAgreement, + ComparisonReport, + FilterPairAlignment, + GroupAlignment, + IntervalPairMetrics, + IntervalReport, + TranscriptionReport, +) +from .transcription_matching import match_transcriptions + +__all__ = [ + # data + "Interval", + "Granularity", + "GroupKey", + "AlignMode", + "EditOp", + "GroupingStrategy", + "Metric", + "NormalizerMode", + # + # config + "StepConfig", + "NormalizerConfig", + "GroupingConfig", + "TranscriptionRequirement", + "IntervalMatchingConfig", + "QualitySettings", + # + # reports + "AlignmentEdit", + "AlignmentResult", + "BoundaryAgreement", + "ComparisonReport", + "FilterPairAlignment", + "GroupAlignment", + "IntervalPairMetrics", + "IntervalReport", + "TranscriptionReport", + # + # normalization + "Normalizer", + "BASIC_STACK", + "LANG_PRESETS", + "SUPPORTED_LANGS", + "lang_preset", + "register_step", + "step_available", + # + # interval matching + "match_intervals", + # + # transcription matching + "match_transcriptions", + # + # top-level + "compare", +] diff --git a/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/config.py b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/config.py new file mode 100644 index 0000000000..79dcc19b40 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/config.py @@ -0,0 +1,90 @@ +# Copyright (C) CVAT.ai Corporation +# +# SPDX-License-Identifier: MIT + +from __future__ import annotations + +from dataclasses import dataclass, field +from typing import Any + +from .data import AlignMode, Granularity, GroupingStrategy, Metric, NormalizerMode + + +@dataclass +class StepConfig: + """One layer in the normalization pipeline.""" + + name: str # registered step name + options: dict[str, Any] = field(default_factory=dict) + + +@dataclass +class NormalizerConfig: + """ + NormalizerMode selects the stack: + - NONE — passthrough + - BASIC — universal Unicode/whitespace/case layer (language-agnostic) + - CUSTOM — explicit pipeline; caller provides `steps` + """ + + mode: NormalizerMode = NormalizerMode.BASIC + steps: list[StepConfig] = field(default_factory=list) + + +@dataclass +class GroupingConfig: + attribute: str | None = None # None → group by label only + strategy: GroupingStrategy = GroupingStrategy.JOIN + join_separator: str = " " + + +@dataclass +class TranscriptionRequirement: + name: str = "transcription" # human-readable, used in report headings + text_attribute: str = "transcription" # which column / attr holds text + + # Output unit of the reported rate (CER vs WER vs SER scope). + # WORD → WER-family + # CHARACTER → CER-family + granularity: Granularity = Granularity.WORD + + # Alignment regime. + # CHAR — char-level Levenshtein DP (default; handles arbitrary + # N-to-M boundary cases via natural char alignment) + # WORD — word-level (token) Levenshtein DP (faster, no boundary + # detection; equivalent to plain WER when granularity=word) + align: AlignMode = AlignMode.CHAR + + # Per-chunk cost function. Softness is a property of the metric + # itself rather than a side-channel knob. + # For granularity=CHARACTER (atomic units): all three metrics + # degenerate to EQUALITY. Only granularity=WORD makes the choice + # meaningful. + metric: Metric = Metric.EQUALITY + + # If set, per-chunk cost is rounded: cost > threshold → 1, else 0. + # Turns any soft metric into a binary one. With metric=EQUALITY the + # threshold is a no-op. + threshold: float | None = None + + normalizer: NormalizerConfig = field(default_factory=NormalizerConfig) + grouping: GroupingConfig = field(default_factory=GroupingConfig) + iou_threshold: float = 0.3 # used by FILTER strategy + enforce_overlap: bool = True # join: forbid token match between non-overlapping intervals + + # Gap (ms) by which the join overlap gate is relaxed: intervals separated by + # up to this much still count as overlapping. + overlap_tolerance_ms: float = 0.0 + + +@dataclass +class IntervalMatchingConfig: + iou_threshold: float = 0.3 + low_overlap_threshold: float = 0.5 + boundary_tolerance_ms: float = 200.0 # boundary-F1 timestamp tolerance + + +@dataclass +class QualitySettings: + interval_matching: IntervalMatchingConfig = field(default_factory=IntervalMatchingConfig) + transcriptions: list[TranscriptionRequirement] = field(default_factory=list) diff --git a/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/data.py b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/data.py new file mode 100644 index 0000000000..bdd6defc0e --- /dev/null +++ b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/data.py @@ -0,0 +1,84 @@ +# Copyright (C) CVAT.ai Corporation +# +# SPDX-License-Identifier: MIT + +from __future__ import annotations + +from dataclasses import dataclass, field +from enum import Enum + + +@dataclass(frozen=True) +class Interval: + id: int + start: float # milliseconds + stop: float # milliseconds + label: str + source: str = "" + score: float = 1.0 + extra: dict[str, str] = field(default_factory=dict) + + @property + def duration(self) -> float: + return self.stop - self.start + + +class Granularity(str, Enum): + """Output unit of the reported rate (CER / WER / SER scope).""" + + WORD = "word" + CHARACTER = "character" + + +class AlignMode(str, Enum): + """Transcription alignment mode — what unit the DP operates on.""" + + CHAR = "char" + "char-level Levenshtein DP, word-edit reconstruction" + + WORD = "word" + "word-level Levenshtein DP, no boundary detection" + + +class Metric(str, Enum): + """Per-chunk cost function for L2 scoring.""" + + EQUALITY = "equality" + "0/1 strict per chunk" + + ERROR_RATE = "error-rate" + "char_edits / len(ref) — recall-shaped" + + NORMALIZED_LEV = "normalized-lev" + "char_edits / max(len) — bounded" + + +class NormalizerMode(str, Enum): + """Top-level normalizer mode selector.""" + + NONE = "none" # passthrough + BASIC = "basic" # universal Unicode / whitespace / case stack + CUSTOM = "custom" # caller-supplied `steps` + + +class GroupingStrategy(str, Enum): + """How to combine intervals within a (label, attr) group.""" + + FILTER = "filter" + "Match intervals by IoU and label, match text in pairs" + + JOIN = "join" + "Concatenate text per group key, align" + + +class EditOp(str, Enum): + """Per-chunk operation produced by the L2 aligner.""" + + EQUAL = "equal" + SUBSTITUTE = "substitute" + INSERT = "insert" + DELETE = "delete" + BOUNDARY = "boundary" # N-to-1 / 1-to-N word-boundary disagreement + + +GroupKey = tuple[str, str | None] # (label, attr_value_or_None) diff --git a/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/interval_matching.py b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/interval_matching.py new file mode 100644 index 0000000000..78a14c545d --- /dev/null +++ b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/interval_matching.py @@ -0,0 +1,215 @@ +# Copyright (C) CVAT.ai Corporation +# +# SPDX-License-Identifier: MIT + +from __future__ import annotations + +from typing import Callable, Sequence + +from .config import IntervalMatchingConfig +from .data import Interval +from .reports import BoundaryAgreement, IntervalPairMetrics, IntervalReport + + +def iou(a: Interval, b: Interval) -> float: + lo = max(a.start, b.start) + hi = min(a.stop, b.stop) + inter = hi - lo + if inter <= 0: + return 0.0 + uni = max(a.stop, b.stop) - min(a.start, b.start) + return inter / uni if uni > 0 else 0.0 + + +def _label_eq(a: Interval, b: Interval) -> bool: + return a.label == b.label + + +def match_segments( + a_segms: Sequence[Interval], + b_segms: Sequence[Interval], + *, + distance: Callable[[Interval, Interval], float], + dist_thresh: float = 1.0, + label_matcher: Callable[[Interval, Interval], bool] = _label_eq, +) -> tuple[ + list[tuple[Interval, Interval]], + list[tuple[Interval, Interval]], + list[Interval], + list[Interval], +]: + # Ported verbatim from cvat.apps.quality_control.quality_reports.match_segments + # (numpy + scipy are imported lazily so the package imports without scipy when the + # Hungarian/FILTER path is unused). + import itertools + + import numpy as np + from scipy.optimize import linear_sum_assignment + + max_anns = max(len(a_segms), len(b_segms)) + distances = np.array( + [ + [ + 1 - distance(a, b) if a is not None and b is not None else 1 + for b, _ in itertools.zip_longest(b_segms, range(max_anns), fillvalue=None) + ] + for a, _ in itertools.zip_longest(a_segms, range(max_anns), fillvalue=None) + ] + ) + distances[~np.isfinite(distances)] = 1 + distances[distances > 1 - dist_thresh] = 1 + + if a_segms and b_segms: + a_matches, b_matches = linear_sum_assignment(distances) + else: + a_matches = [] + b_matches = [] + + matches = [] + mispred = [] + a_unmatched = [] + b_unmatched = [] + + for a_idx, b_idx in zip(a_matches, b_matches): + dist = distances[a_idx, b_idx] + if dist > 1 - dist_thresh or dist == 1: + if a_idx < len(a_segms): + a_unmatched.append(a_segms[a_idx]) + if b_idx < len(b_segms): + b_unmatched.append(b_segms[b_idx]) + else: + a_ann = a_segms[a_idx] + b_ann = b_segms[b_idx] + if label_matcher(a_ann, b_ann): + matches.append((a_ann, b_ann)) + else: + mispred.append((a_ann, b_ann)) + + if not len(a_matches) and not len(b_matches): + a_unmatched = list(a_segms) + b_unmatched = list(b_segms) + + return matches, mispred, a_unmatched, b_unmatched + + +def _hungarian_match( + gt: Sequence[Interval], + ds: Sequence[Interval], + *, + distance: Callable[[Interval, Interval], float], + iou_thresh: float, + label_matcher: Callable[[Interval, Interval], bool] = _label_eq, +) -> tuple[ + list[tuple[Interval, Interval]], + list[tuple[Interval, Interval]], + list[Interval], + list[Interval], +]: + return match_segments( + gt, ds, distance=distance, dist_thresh=iou_thresh, label_matcher=label_matcher + ) + + +def _two_stage_match(gt: Sequence[Interval], ds: Sequence[Interval], *, iou_thresh: float) -> tuple[ + list[tuple[Interval, Interval]], + list[tuple[Interval, Interval]], + list[Interval], + list[Interval], +]: + """Two-pass Hungarian: first pass prefers same-label pairs, second pass + picks up remaining different-label pairs. Keeps high-quality label + matches from getting outbid by IoU-only matches with the wrong label.""" + + def iou_with_label(a: Interval, b: Interval) -> float: + return iou(a, b) if _label_eq(a, b) else 0.0 + + matches, _, gt_u, ds_u = _hungarian_match( + gt, ds, distance=iou_with_label, iou_thresh=iou_thresh + ) + _, mispred, gt_u, ds_u = _hungarian_match(gt_u, ds_u, distance=iou, iou_thresh=iou_thresh) + return matches, mispred, gt_u, ds_u + + +def _collect_boundaries(intervals: Sequence[Interval]) -> list[float]: + pts: list[float] = [] + for iv in intervals: + pts.append(iv.start) + pts.append(iv.stop) + return sorted(pts) + + +def boundary_f1( + ref_boundaries: Sequence[float], + hyp_boundaries: Sequence[float], + *, + tolerance_ms: float, +) -> BoundaryAgreement: + """Greedy nearest-neighbor matching of boundary timestamps within a + fixed temporal tolerance. Returns precision / recall / F1 plus + raw tp / fp / fn counts.""" + + matched: set[int] = set() + tp = 0 + for r in ref_boundaries: + best_idx = -1 + best_d = tolerance_ms + 1e-9 + for i, h in enumerate(hyp_boundaries): + if i in matched: + continue + d = abs(r - h) + if d <= best_d: + best_idx, best_d = i, d + if best_idx >= 0 and best_d <= tolerance_ms: + matched.add(best_idx) + tp += 1 + fp = len(hyp_boundaries) - len(matched) + fn = len(ref_boundaries) - tp + precision = tp / (tp + fp) if (tp + fp) else 1.0 + recall = tp / (tp + fn) if (tp + fn) else 1.0 + f1 = 2 * precision * recall / (precision + recall) if (precision + recall) else 0.0 + return BoundaryAgreement(tp=tp, fp=fp, fn=fn, precision=precision, recall=recall, f1=f1) + + +def match_intervals( + gt: Sequence[Interval], ds: Sequence[Interval], *, config: IntervalMatchingConfig +) -> IntervalReport: + """ + Compare intervals at the boundary level. This function does not touch transcriptions. + + Pairs GT and DS intervals by IoU + label using a two-stage Hungarian + assignment, then derives per-pair spatial metrics (IoU, onset / offset + deltas, label match). Boundary-F1 also lives here because it is a + purely temporal metric — it cares where intervals start / stop, not + what they contain. + """ + + matches, mispred, gt_unmatched, ds_unmatched = _two_stage_match( + gt, ds, iou_thresh=config.iou_threshold + ) + + def to_metric(a: Interval, b: Interval) -> IntervalPairMetrics: + return IntervalPairMetrics( + gt=a, + ds=b, + iou=iou(a, b), + onset_delta=b.start - a.start, + offset_delta=b.stop - a.stop, + label_match=_label_eq(a, b), + ) + + boundary = boundary_f1( + _collect_boundaries(gt), + _collect_boundaries(ds), + tolerance_ms=config.boundary_tolerance_ms, + ) + + return IntervalReport( + matches=[to_metric(a, b) for a, b in matches], + label_mismatches=[to_metric(a, b) for a, b in mispred], + gt_unmatched=gt_unmatched, + ds_unmatched=ds_unmatched, + iou_threshold=config.iou_threshold, + low_overlap_threshold=config.low_overlap_threshold, + boundary_tolerance_ms=config.boundary_tolerance_ms, + boundary=boundary, + ) diff --git a/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/normalization.py b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/normalization.py new file mode 100644 index 0000000000..acde781d22 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/normalization.py @@ -0,0 +1,553 @@ +# Copyright (C) CVAT.ai Corporation +# +# SPDX-License-Identifier: MIT + +""" +Text normalization for the audio QE pipeline. + +Pipeline of small composable steps. Pick a preset (`basic`) or build +custom pipelines (e.g. `[unicode, casefold, russian_yo, +collapse_whitespace]`). Layered design lets language-specific and +project-specific rules live next to universal Unicode / whitespace +cleanup without forking the normalizer code. +`step_available(name)` and fall back to DIY equivalents. +""" + +from __future__ import annotations + +import re +import unicodedata +from typing import Callable + +from .config import NormalizerConfig, StepConfig +from .data import NormalizerMode + +# English contractions — used by `expand_contractions_en` step. +# Specific patterns first; broad `\w+n't` last so it can't eat exceptions. +_EN_CONTRACTIONS = [ + (r"\bcan't\b", "can not"), + (r"\bwon't\b", "will not"), + (r"\bshan't\b", "shall not"), + (r"\bain't\b", "is not"), + (r"\bi'm\b", "i am"), + (r"\b(it|he|she|that|there|here|what|who|where|how|when|let)'s\b", r"\1 is"), + (r"\b(i|you|we|they|who)'ve\b", r"\1 have"), + (r"\b(i|you|he|she|it|we|they)'ll\b", r"\1 will"), + (r"\b(i|you|he|she|it|we|they)'d\b", r"\1 would"), + ( + r"\b(do|does|did|is|are|was|were|have|has|had|would|could|should|will|" + r"wouldn|shouldn|couldn|don|doesn|didn|isn|aren|wasn|weren|hasn|" + r"haven|hadn|mustn|needn)'t\b", + r"\1 not", + ), +] + +_ZERO_WIDTH_RE = re.compile(r"[​‌‍⁠­]") +_BRACKETED_RE = re.compile(r"\[[^\]]*\]|\([^\)]*\)|<[^>]*>") +_WS_RE = re.compile(r"\s+") + +NormalizationStep = Callable[[str], str] +_STEP_REGISTRY: dict[str, Callable[..., NormalizationStep]] = {} + + +def register_step(name: str): + def deco(factory: Callable[..., NormalizationStep]) -> Callable[..., NormalizationStep]: + _STEP_REGISTRY[name] = factory + return factory + + return deco + + +@register_step("unicode") +def _step_unicode(form: str = "NFKC") -> NormalizationStep: + return lambda t: unicodedata.normalize(form, t) + + +@register_step("zero_width_strip") +def _step_zero_width_strip() -> NormalizationStep: + return lambda t: _ZERO_WIDTH_RE.sub("", t) + + +@register_step("casefold") +def _step_casefold() -> NormalizationStep: + """Locale-independent lowercase. Beats `.lower()` for Turkish/Azeri/German.""" + return lambda t: t.casefold() + + +@register_step("strip_brackets") +def _step_strip_brackets() -> NormalizationStep: + """Remove [tags], (asides), . Useful for sound events / speaker tags.""" + return lambda t: _BRACKETED_RE.sub(" ", t) + + +@register_step("strip_punct") +def _step_strip_punct(preserve: list[str] | None = None) -> NormalizationStep: + preserve_set = set(preserve or []) + + def fn(t: str) -> str: + out = [] + for ch in t: + if ch.isalnum() or ch.isspace() or ch in preserve_set: + out.append(ch) + else: + cat = unicodedata.category(ch) + # Keep modifier letters etc.; only strip explicit punct/symbols. + if cat.startswith("P") or cat.startswith("S"): + out.append(" ") + else: + out.append(ch) + return "".join(out) + + return fn + + +@register_step("collapse_whitespace") +def _step_collapse_whitespace() -> NormalizationStep: + return lambda t: _WS_RE.sub(" ", t).strip() + + +@register_step("unify_apostrophes") +def _step_unify_apostrophes() -> NormalizationStep: + """Curly + modifier apostrophes → ASCII '. Run before contraction expansion.""" + return lambda t: t.replace("’", "'").replace("‘", "'").replace("ʼ", "'") + + +@register_step("unify_quotes") +def _step_unify_quotes() -> NormalizationStep: + return lambda t: (t.replace("“", '"').replace("”", '"').replace("«", '"').replace("»", '"')) + + +@register_step("substitutions") +def _step_substitutions(map: dict[str, str] | None = None) -> NormalizationStep: + items = list((map or {}).items()) + + def fn(t: str) -> str: + for src, dst in items: + t = t.replace(src, dst) + return t + + return fn + + +@register_step("regex_substitute") +def _step_regex_substitute( + patterns: list[tuple[str, str]] | None = None, flags: int = 0 +) -> NormalizationStep: + compiled = [(re.compile(p, flags), r) for p, r in (patterns or [])] + + def fn(t: str) -> str: + for p, r in compiled: + t = p.sub(r, t) + return t + + return fn + + +@register_step("expand_contractions_en") +def _step_expand_contractions_en() -> NormalizationStep: + compiled = [(re.compile(p, re.IGNORECASE), r) for p, r in _EN_CONTRACTIONS] + + def fn(t: str) -> str: + for p, r in compiled: + t = p.sub(r, t) + return t + + return fn + + +# Language-specific helpers — stdlib-only. Heavier ones (opencc, jaconv, pyarabic) +# live behind optional imports if/when needed. + + +@register_step("russian_yo") +def _step_russian_yo() -> NormalizationStep: + """Collapse ё→е (Russian) — same word, two spellings in practice.""" + return lambda t: t.replace("ё", "е").replace("Ё", "Е") + + +@register_step("german_eszett") +def _step_german_eszett() -> NormalizationStep: + """ß → ss. Common for Swiss-German compat or relaxed comparison.""" + return lambda t: t.replace("ß", "ss") + + +@register_step("arabic_alef_unify") +def _step_arabic_alef_unify() -> NormalizationStep: + """أ إ آ → ا (hamza-bearing alef variants → bare alef).""" + + def fn(t: str) -> str: + return t.replace("أ", "ا").replace("إ", "ا").replace("آ", "ا") + + return fn + + +@register_step("arabic_yaa_unify") +def _step_arabic_yaa_unify() -> NormalizationStep: + """ى → ي (alef maqsura → yaa).""" + return lambda t: t.replace("ى", "ي") + + +@register_step("strip_diacritics") +def _step_strip_diacritics() -> NormalizationStep: + """Strip combining marks (Mn). Useful for Arabic harakat, Hebrew niqqud, etc.""" + + def fn(t: str) -> str: + decomposed = unicodedata.normalize("NFD", t) + out = "".join(c for c in decomposed if unicodedata.category(c) != "Mn") + return unicodedata.normalize("NFC", out) + + return fn + + +@register_step("arabic_tatweel_strip") +def _step_arabic_tatweel_strip() -> NormalizationStep: + """Remove tatweel (ـ U+0640) — purely decorative elongation.""" + return lambda t: t.replace("ـ", "") + + +# Devanagari ----------------------------------------------------------------- + +# Precomposed nukta forms → canonical decomposed forms (via NFC after replace). +# Keep canonical NFC form to match modern data, but unify legacy variants. +_DEVANAGARI_NUKTA_MAP = { + "क़": "क़", # क़ → क + nukta + "ख़": "ख़", # ख़ + "ग़": "ग़", # ग़ + "ज़": "ज़", # ज़ + "ड़": "ड़", # ड़ + "ढ़": "ढ़", # ढ़ + "फ़": "फ़", # फ़ + "य़": "य़", # य़ +} + + +@register_step("hindi_danda") +def _step_hindi_danda() -> NormalizationStep: + """Danda । and double-danda ॥ → space.""" + return lambda t: t.replace("।", " ").replace("॥", " ") + + +@register_step("hindi_nukta_unify") +def _step_hindi_nukta_unify() -> NormalizationStep: + """Decompose precomposed nukta letters; NFC re-composes consistently downstream.""" + items = list(_DEVANAGARI_NUKTA_MAP.items()) + + def fn(t: str) -> str: + for src, dst in items: + t = t.replace(src, dst) + return t + + return fn + + +@register_step("hindi_chandrabindu") +def _step_hindi_chandrabindu() -> NormalizationStep: + """Chandrabindu ँ → anusvara ं (collapse marks treated equivalent in speech).""" + return lambda t: t.replace("ँ", "ं") + + +# CJK ------------------------------------------------------------------------ + +# Common Chinese / Japanese punctuation. NFKC already maps full-width ASCII +# punctuation; this catches genuinely-CJK punctuation that NFKC doesn't touch. +_CJK_PUNCT = "，。、；：？！…—·「」『』〈〉《》【】〖〗〔〕" + + +@register_step("cjk_punct_strip") +def _step_cjk_punct_strip() -> NormalizationStep: + tbl = str.maketrans({ch: " " for ch in _CJK_PUNCT}) + return lambda t: t.translate(tbl) + + +# Turkish -------------------------------------------------------------------- + + +@register_step("turkish_dotted_i") +def _step_turkish_dotted_i() -> NormalizationStep: + """Locale-correct İ/I → i/ı. Apply before casefold for Turkish/Azeri.""" + + def fn(t: str) -> str: + return t.replace("İ", "i").replace( # İ → i + "I", "ı" + ) # I → ı (intentional; pair with casefold) + + return fn + + +# Dutch ---------------------------------------------------------------------- + + +@register_step("dutch_ij_normalize") +def _step_dutch_ij_normalize() -> NormalizationStep: + """Ligature ij/IJ → i+j / I+J. NFKC also does this; explicit step for clarity.""" + return lambda t: t.replace("ij", "ij").replace("IJ", "IJ") + + +# Optional third-party steps ------------------------------------------------- +# +# Registered only when the matching package is importable. Calling +# `step_available(name)` lets presets fall back to DIY if missing. + + +def step_available(name: str) -> bool: + return name in _STEP_REGISTRY + + +try: # pragma: no cover - optional dependency + import inflect as _inflect # type: ignore + + _INFLECT_ENGINE = _inflect.engine() + _NUM_RE = re.compile(r"-?\d+(?:[.,]\d+)?") + + @register_step("expand_numerals_en") + def _step_expand_numerals_en() -> NormalizationStep: + """Replace numbers with English words (`23` → `twenty three`). + Requires `inflect` (MIT, ~250 KB). Skip step if not installed.""" + + def to_words(match: re.Match[str]) -> str: + raw = match.group(0).replace(",", ".") + return _INFLECT_ENGINE.number_to_words(raw).replace("-", " ") + + return lambda t: _NUM_RE.sub(to_words, t) + +except ImportError: # pragma: no cover + pass + + +try: # pragma: no cover - optional dependency + import ftfy as _ftfy # type: ignore + + @register_step("ftfy_fix") + def _step_ftfy_fix( + normalization: str = "NFC", + unescape_html: bool = True, + ) -> NormalizationStep: + """Robust input cleanup: mojibake, HTML entities, curly punct, ligatures, + zero-width chars, NBSP. Requires `ftfy` (MIT, ~1 MB).""" + + cfg = _ftfy.TextFixerConfig( + normalization=normalization, + unescape_html=unescape_html, + ) + return lambda t: _ftfy.fix_text(t, cfg) + +except ImportError: # pragma: no cover + pass + + +try: # pragma: no cover - optional dependency + import zhconv as _zhconv # type: ignore + + @register_step("zhconv_simplify") + def _step_zhconv_simplify(variant: str = "zh-cn") -> NormalizationStep: + """Convert Chinese to Simplified. variant: zh-cn (mainland), zh-sg, zh-my. + Requires `zhconv` (MIT, ~700 KB).""" + return lambda t: _zhconv.convert(t, variant) + + @register_step("zhconv_traditional") + def _step_zhconv_traditional(variant: str = "zh-tw") -> NormalizationStep: + """Convert Chinese to Traditional. variant: zh-tw (Taiwan), zh-hk (HK).""" + return lambda t: _zhconv.convert(t, variant) + +except ImportError: # pragma: no cover + pass + + +# Preset stacks -------------------------------------------------------------- + + +BASIC_STACK: list[StepConfig] = [ + StepConfig("unify_apostrophes"), + StepConfig("unify_quotes"), + StepConfig("unicode", {"form": "NFKC"}), + StepConfig("zero_width_strip"), + StepConfig("casefold"), + StepConfig("strip_brackets"), + StepConfig("strip_punct"), + StepConfig("collapse_whitespace"), +] + + +# Language presets. Each preset is built as: +# → → +# The prefix prefers `ftfy_fix` if available (handles mojibake / HTML / +# curly punct / zero-width / ligatures in one robust step). Otherwise it +# falls back to DIY apostrophe + quote + zero-width steps. + + +def _prefix_steps(use_ftfy: bool) -> list[StepConfig]: + if use_ftfy and step_available("ftfy_fix"): + return [ + StepConfig("ftfy_fix", {"normalization": "NFC", "unescape_html": True}), + StepConfig("strip_brackets"), + ] + return [ + StepConfig("unify_apostrophes"), + StepConfig("unify_quotes"), + StepConfig("zero_width_strip"), + StepConfig("strip_brackets"), + ] + + +_SUFFIX_STEPS: list[StepConfig] = [ + StepConfig("strip_punct"), + StepConfig("collapse_whitespace"), +] + + +def _lang_body(code: str, *, use_zhconv: bool) -> list[StepConfig]: + if code == "en": + return [ + StepConfig("unicode", {"form": "NFKC"}), + StepConfig("casefold"), + StepConfig("expand_contractions_en"), + ] + if code in ("es", "fr", "it", "pt", "pl"): + return [StepConfig("unicode", {"form": "NFC"}), StepConfig("casefold")] + if code == "de": + return [ + StepConfig("unicode", {"form": "NFC"}), + StepConfig("casefold"), + StepConfig("german_eszett"), + ] + if code == "nl": + return [ + StepConfig("unicode", {"form": "NFC"}), + StepConfig("dutch_ij_normalize"), + StepConfig("casefold"), + ] + if code == "ru": + return [ + StepConfig("unicode", {"form": "NFC"}), + StepConfig("casefold"), + StepConfig("russian_yo"), + ] + if code == "tr": + return [ + StepConfig("unicode", {"form": "NFC"}), + StepConfig("turkish_dotted_i"), + StepConfig("casefold"), + ] + if code == "zh": + steps: list[StepConfig] = [ + StepConfig("unicode", {"form": "NFKC"}), + StepConfig("cjk_punct_strip"), + ] + if use_zhconv and step_available("zhconv_simplify"): + steps.append(StepConfig("zhconv_simplify", {"variant": "zh-cn"})) + return steps + if code == "ja": + return [ + StepConfig("unicode", {"form": "NFKC"}), + StepConfig("cjk_punct_strip"), + ] + if code == "ko": + return [ + StepConfig("unicode", {"form": "NFC"}), + StepConfig("cjk_punct_strip"), + ] + if code == "hi": + return [ + StepConfig("hindi_nukta_unify"), + StepConfig("unicode", {"form": "NFC"}), + StepConfig("hindi_danda"), + StepConfig("hindi_chandrabindu"), + ] + if code == "ar": + return [ + StepConfig("unicode", {"form": "NFC"}), + StepConfig("arabic_tatweel_strip"), + StepConfig("arabic_alef_unify"), + StepConfig("arabic_yaa_unify"), + StepConfig("strip_diacritics"), + ] + raise ValueError(f"no preset for language {code!r}") + + +SUPPORTED_LANGS: tuple[str, ...] = ( + "en", + "es", + "fr", + "de", + "it", + "pt", + "nl", + "pl", + "ru", + "tr", + "zh", + "ja", + "ko", + "hi", + "ar", +) + + +def lang_preset( + code: str, + *, + with_numerals: bool = False, + use_ftfy: bool = True, + use_zhconv: bool = True, +) -> NormalizerConfig: + """Build a NormalizerConfig for a language code. + + `use_ftfy` / `use_zhconv` are opt-out flags — when the optional libs are + installed they replace DIY steps; flip to False for fully-deterministic DIY + output regardless of installed packages. + """ + + if code not in SUPPORTED_LANGS: + raise ValueError(f"no preset for language {code!r}; available: {sorted(SUPPORTED_LANGS)}") + steps: list[StepConfig] = [ + *_prefix_steps(use_ftfy), + *_lang_body(code, use_zhconv=use_zhconv), + *_SUFFIX_STEPS, + ] + if with_numerals and code == "en" and step_available("expand_numerals_en"): + idx = next((i for i, s in enumerate(steps) if s.name == "strip_punct"), len(steps)) + steps.insert(idx, StepConfig("expand_numerals_en")) + return NormalizerConfig(mode=NormalizerMode.CUSTOM, steps=steps) + + +# Backward-compatible attribute for code that read LANG_PRESETS as a dict. +LANG_PRESETS: dict[str, list[StepConfig]] = { + code: lang_preset(code).steps for code in SUPPORTED_LANGS +} + + +def _build_step(cfg: StepConfig) -> NormalizationStep: + try: + factory = _STEP_REGISTRY[cfg.name] + except KeyError as exc: + raise ValueError( + f"unknown normalization step {cfg.name!r}; available: {sorted(_STEP_REGISTRY)}" + ) from exc + return factory(**cfg.options) + + +class Normalizer: + def __init__(self, cfg: NormalizerConfig) -> None: + self.cfg = cfg + if cfg.mode == NormalizerMode.NONE: + steps_cfg: list[StepConfig] = [] + elif cfg.mode == NormalizerMode.BASIC: + steps_cfg = BASIC_STACK + elif cfg.mode == NormalizerMode.CUSTOM: + steps_cfg = cfg.steps + else: + raise ValueError( + f"normalizer mode must be one of " + f"{[m.value for m in NormalizerMode]!r}, got {cfg.mode!r}" + ) + self._steps: list[NormalizationStep] = [_build_step(s) for s in steps_cfg] + self._step_names: list[str] = [s.name for s in steps_cfg] + + @property + def step_names(self) -> list[str]: + return list(self._step_names) + + def __call__(self, text: str) -> str: + for step in self._steps: + text = step(text) + return text diff --git a/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/pipeline.py b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/pipeline.py new file mode 100644 index 0000000000..2b97200717 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/pipeline.py @@ -0,0 +1,24 @@ +# Copyright (C) CVAT.ai Corporation +# +# SPDX-License-Identifier: MIT + +from __future__ import annotations + +from typing import Sequence + +from .config import QualitySettings +from .data import Interval +from .interval_matching import match_intervals +from .reports import ComparisonReport +from .transcription_matching import match_transcriptions + + +def compare( + gt: Sequence[Interval], ds: Sequence[Interval], *, settings: QualitySettings +) -> ComparisonReport: + return ComparisonReport( + gt=list(gt), + ds=list(ds), + intervals=match_intervals(gt, ds, config=settings.interval_matching), + transcriptions=[match_transcriptions(gt, ds, req=req) for req in settings.transcriptions], + ) diff --git a/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/reports.py b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/reports.py new file mode 100644 index 0000000000..d9c071eec7 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/reports.py @@ -0,0 +1,165 @@ +# Copyright (C) CVAT.ai Corporation +# +# SPDX-License-Identifier: MIT + +""" +Output / intermediate result shapes for the audio QE pipeline. + +`compare()` returns a `ComparisonReport`; the rest of the dataclasses +here capture intermediate alignment products used while building it. +The CVAT side (`cvat.apps.quality_control.quality_reports`) consumes +the top-level fields to fill its persisted `QualityReport.data` +JSON. +""" + +from __future__ import annotations + +from dataclasses import dataclass + +from .config import TranscriptionRequirement +from .data import EditOp, Granularity, GroupKey, Interval + +# ============================ Interval matching layer ============================ + + +@dataclass +class IntervalPairMetrics: + gt: Interval + ds: Interval + iou: float + onset_delta: float + offset_delta: float + label_match: bool + + +@dataclass +class BoundaryAgreement: + tp: int + fp: int + fn: int + precision: float + recall: float + f1: float + + +@dataclass +class IntervalReport: + matches: list[IntervalPairMetrics] + label_mismatches: list[IntervalPairMetrics] + gt_unmatched: list[Interval] + ds_unmatched: list[Interval] + iou_threshold: float + low_overlap_threshold: float + boundary_tolerance_ms: float + boundary: BoundaryAgreement | None = None + + @property + def low_overlap(self) -> list[IntervalPairMetrics]: + return [m for m in self.matches if m.iou < self.low_overlap_threshold] + + +# ============================ Transcription layer ================================ + + +# ============================ Transcription alignment ============================ + + +@dataclass +class AlignmentEdit: + op: EditOp + ref_start: int + ref_end: int # exclusive + hyp_start: int + hyp_end: int # exclusive + ref_units: list[str] + hyp_units: list[str] + + +@dataclass +class AlignmentResult: + granularity: Granularity + ref_normalized: str + hyp_normalized: str + ref_units: list[str] + hyp_units: list[str] + edits: list[AlignmentEdit] + error_rate: float # word error rate (WER) / CER (when granularity=character) + + substitutions: int + insertions: int + deletions: int + hits: int + + # Per-token source-interval index (within the group). None for the + # per-pair (filter) path, which aligns a single text pair and has no + # multi-interval origins to track. + ref_origins: list[int] | None = None + hyp_origins: list[int] | None = None + + +# ============================ Transcription report =============================== + + +@dataclass +class GroupAlignment: + key: GroupKey + gt_intervals: list[Interval] + ds_intervals: list[Interval] + alignment: AlignmentResult + + +@dataclass +class FilterPairAlignment: + gt: Interval + ds: Interval + iou: float + onset_delta: float + offset_delta: float + alignment: AlignmentResult + + +@dataclass +class TranscriptionReport: + requirement: TranscriptionRequirement + + # Filter mode outputs + pairs: list[FilterPairAlignment] + pair_gt_unmatched: list[Interval] + pair_ds_unmatched: list[Interval] + + # Join mode outputs + groups: list[GroupAlignment] + missing_groups: list[tuple[GroupKey, list[Interval]]] # only in GT + extra_groups: list[tuple[GroupKey, list[Interval]]] # only in DS + + @property + def alignments(self) -> list[AlignmentResult]: + if self.requirement.grouping.strategy == "join": + return [g.alignment for g in self.groups] + return [p.alignment for p in self.pairs] + + @property + def corpus_rate(self) -> float: + """Headline rate per `requirement.metric` aggregated across all + group / pair alignments. Lazy-imports the aggregator to avoid an + import cycle with `transcription_matching`.""" + from .transcription_matching import aggregate_metric + + _, rate = aggregate_metric( + self.alignments, + metric=self.requirement.metric, + threshold=self.requirement.threshold, + granularity=self.requirement.granularity, + ) + return rate + + +# ============================ Top-level ========================================== + + +@dataclass +class ComparisonReport: + gt: list[Interval] + ds: list[Interval] + intervals: IntervalReport + transcriptions: list[TranscriptionReport] diff --git a/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/transcription_matching.py b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/transcription_matching.py new file mode 100644 index 0000000000..c553f2d9dc --- /dev/null +++ b/packages/examples/cvat/recording-oracle/libs/audio_qe/audio_qe/transcription_matching.py @@ -0,0 +1,1116 @@ +# Copyright (C) CVAT.ai Corporation +# +# SPDX-License-Identifier: MIT + +""" +Transcription quality estimation. + +Tokenize, group, align, score. Owns: + + * Tokenization (word / character) + * Per-chunk cost functions (equality / error-rate / normalized-lev) + and aggregation across alignments + * Levenshtein alignment over tokens, with an overlap-constrained + variant that forbids matches between tokens whose source intervals + don't temporally intersect + * Char-level DP with word-boundary reconstruction (handles N-to-M + boundary disagreements naturally as `boundary` edits) + * Group-level orchestration (join / filter strategies) — entry + point `run_transcription_qe()`. +""" + +from __future__ import annotations + +from collections import defaultdict +from collections.abc import Iterator +from typing import Callable, Sequence + +import numpy as np +import regex + +from .config import TranscriptionRequirement +from .data import ( + AlignMode, + EditOp, + Granularity, + GroupingStrategy, + GroupKey, + Interval, + Metric, +) +from .interval_matching import _two_stage_match, iou +from .normalization import Normalizer +from .reports import ( + AlignmentEdit, + AlignmentResult, + FilterPairAlignment, + GroupAlignment, + TranscriptionReport, +) + +# `\X` matches one extended grapheme cluster — keeps combining marks +# (Indic, Arabic diacritics) and emoji ZWJ sequences as a single unit. +_GRAPHEMES_RE = regex.compile(r"\X") + + +def _iter_graphemes(text: str) -> Iterator[str]: + """Yield each extended grapheme cluster in `text`. Single source of + truth for character-level iteration across char-granularity + tokenization and the char-stream alignment paths.""" + for m in _GRAPHEMES_RE.finditer(text): + yield m.group() + + +# ============================ Tokenization ==================================== + + +def tokenize(text: str, *, granularity: Granularity) -> list[str]: + if granularity == Granularity.WORD: + return text.split() + if granularity == Granularity.CHARACTER: + return list(_iter_graphemes(text)) + raise AssertionError(granularity) + + +# ============================ Per-chunk cost functions ======================= + + +def _char_edit_distance(a: str, b: str) -> int: + """Plain Levenshtein over characters. Short strings (typically <30 chars), + pure-Python is fine.""" + if a == b: + return 0 + if not a: + return len(b) + if not b: + return len(a) + prev = list(range(len(b) + 1)) + for i, ca in enumerate(a, 1): + cur = [i] + for j, cb in enumerate(b, 1): + cur.append( + min( + cur[-1] + 1, # insert + prev[j] + 1, # delete + prev[j - 1] + (0 if ca == cb else 1), # substitute + ) + ) + prev = cur + return prev[-1] + + +def _cost_equality(a: str, b: str) -> float: + return 0.0 if a == b else 1.0 + + +def _cost_error_rate(a: str, b: str) -> float: + """edits / len(ref). Recall-shaped; can exceed 1 when hyp is much longer.""" + + if a == b: + return 0.0 + denom = len(a) or 1 + return _char_edit_distance(a, b) / denom + + +def _cost_normalized_lev(a: str, b: str) -> float: + """ + edits / max(len). Bounded in [0, 1]; symmetric. + Standard name in the literature: normalized Levenshtein distance (NED). + """ + + if a == b: + return 0.0 + denom = max(len(a), len(b)) or 1 + return _char_edit_distance(a, b) / denom + + +_METRIC_FNS: dict[Metric, Callable[[str, str], float]] = { + Metric.EQUALITY: _cost_equality, + Metric.ERROR_RATE: _cost_error_rate, + Metric.NORMALIZED_LEV: _cost_normalized_lev, +} +_METRIC_NAMES = tuple(m.value for m in _METRIC_FNS) + +# A token-pair cost: substitution cost between a ref and a hyp token +TokenCost = Callable[[str, str], float] + + +def _unit_sub_cost(a: str, b: str) -> float: + """Default substitution cost: 1 for any non-identical pair (plain + Levenshtein). Identical pairs are handled as matches (cost 0) by the + caller, so this is only ever invoked for a != b.""" + return 1.0 + + +def make_token_cost(metric: Metric | str, threshold: float | None) -> TokenCost: + try: + metric = Metric(metric) + except ValueError as exc: + raise ValueError(f"unknown metric {metric!r}; choices: {list(_METRIC_NAMES)}") from exc + + metric_fn = _METRIC_FNS[metric] + if threshold is None: + return metric_fn + + def thresholded(a: str, b: str) -> float: + return 1.0 if metric_fn(a, b) > threshold else 0.0 + + return thresholded + + +def _metric_label( + metric: Metric, + granularity: Granularity, + *, + threshold: float | None = None, +) -> str: + """Display label = base unit (WER/CER) ± prefix per metric/threshold combo.""" + + unit = "CER" if granularity == Granularity.CHARACTER else "WER" + if metric == Metric.EQUALITY: + return unit + if threshold is not None: + return f"fuzzy-{unit}" + return f"soft-{unit}" + + +def _chunk_cost( + e: AlignmentEdit, + *, + granularity: Granularity, + token_cost: TokenCost, +) -> tuple[float, int]: + """Returns (errors_in_granularity_units, ref_units_consumed) for one chunk. + + Per-chunk semantics: + * granularity=char → errors = char-edit count, ref = char count + * granularity=word → errors = token_cost(ref, hyp), ref = word count + (boundary chunks: applied to concatenated forms) + Delete/insert chunks: 1 error per granularity unit, ref unchanged for inserts. + """ + + is_char = granularity == Granularity.CHARACTER + + if e.op == EditOp.EQUAL: + if is_char: + return 0.0, sum(len(u) for u in e.ref_units) + return 0.0, len(e.ref_units) + + if e.op == EditOp.SUBSTITUTE: + errs = 0.0 + refs = 0 + for a, b in zip(e.ref_units, e.hyp_units): + if is_char: + errs += _char_edit_distance(a, b) + refs += len(a) + else: + errs += token_cost(a, b) + refs += 1 + return errs, refs + + if e.op == EditOp.BOUNDARY: + ref_concat = " ".join(e.ref_units) + hyp_concat = " ".join(e.hyp_units) + if is_char: + return float(_char_edit_distance(ref_concat, hyp_concat)), len(ref_concat) + return token_cost(ref_concat, hyp_concat), len(e.ref_units) + + if e.op == EditOp.DELETE: + if is_char: + n = sum(len(u) for u in e.ref_units) + return float(n), n + n = len(e.ref_units) + return float(n), n + + if e.op == EditOp.INSERT: + if is_char: + return float(sum(len(u) for u in e.hyp_units)), 0 + return float(len(e.hyp_units)), 0 + + raise ValueError(f"unknown op {e.op}") + + +def aggregate_metric( + alignments: Sequence[AlignmentResult], + *, + metric: Metric | str, + threshold: float | None, + granularity: Granularity, +) -> tuple[str, float]: + """ + Aggregate the chosen metric across multiple alignments. + Returns (display_label, rate). + """ + + token_cost = make_token_cost(metric, threshold) # validates metric + metric = Metric(metric) + total_err: float = 0.0 + total_ref: int = 0 + for a in alignments: + for e in a.edits: + err, ref = _chunk_cost(e, granularity=granularity, token_cost=token_cost) + total_err += err + total_ref += ref + + rate = total_err / total_ref if total_ref else float("nan") + return _metric_label(metric, granularity, threshold=threshold), rate + + +# ============================ Alignment ======================================= + + +def _align_pair( + ref_text: str, + hyp_text: str, + *, + granularity: Granularity, + normalizer: Normalizer, + sub_cost: TokenCost = _unit_sub_cost, +) -> AlignmentResult: + ref_n = normalizer(ref_text) + hyp_n = normalizer(hyp_text) + + ref_units = tokenize(ref_n, granularity=granularity) + hyp_units = tokenize(hyp_n, granularity=granularity) + + # Degenerate cases — deterministic answers, skip the DP. + if not ref_units and not hyp_units: + return AlignmentResult(granularity, ref_n, hyp_n, [], [], [], 0.0, 0, 0, 0, 0) + if not ref_units: + return AlignmentResult( + granularity, + ref_n, + hyp_n, + [], + list(hyp_units), + [AlignmentEdit(EditOp.INSERT, 0, 0, 0, len(hyp_units), [], list(hyp_units))], + float("inf"), + 0, + len(hyp_units), + 0, + 0, + ) + if not hyp_units: + return AlignmentResult( + granularity, + ref_n, + hyp_n, + list(ref_units), + [], + [AlignmentEdit(EditOp.DELETE, 0, len(ref_units), 0, 0, list(ref_units), [])], + 1.0, + 0, + 0, + len(ref_units), + 0, + ) + + # Single pair → one notional interval per side → all-pass overlap. + overlap = np.ones((1, 1), dtype=bool) + edits, hits, subs, ins, dels, total_cost = _overlap_constrained_align( + ref_units, + [0] * len(ref_units), + hyp_units, + [0] * len(hyp_units), + overlap, + sub_cost=sub_cost, + ) + error_rate = total_cost / len(ref_units) + + return AlignmentResult( + granularity=granularity, + ref_normalized=ref_n, + hyp_normalized=hyp_n, + ref_units=list(ref_units), + hyp_units=list(hyp_units), + edits=edits, + error_rate=error_rate, + substitutions=subs, + insertions=ins, + deletions=dels, + hits=hits, + ) + + +# ============================ Transcription grouping + DP ======================== + + +def group_key(interval: Interval, *, attribute: str | None) -> GroupKey: + if attribute is None: + return (interval.label, None) + return (interval.label, interval.extra.get(attribute) or None) + + +def group_intervals( + intervals: Sequence[Interval], *, attribute: str | None +) -> dict[GroupKey, list[Interval]]: + out: dict[GroupKey, list[Interval]] = defaultdict(list) + for iv in intervals: + out[group_key(iv, attribute=attribute)].append(iv) + return out + + +def _join_group_text(intervals: Sequence[Interval], *, text_attr: str, separator: str) -> str: + in_order = sorted(intervals, key=lambda iv: (iv.start, iv.id)) + parts = [iv.extra.get(text_attr, "") for iv in in_order] + return separator.join(p for p in parts if p) + + +def _normalize_tokenize_per_interval( + intervals: Sequence[Interval], + *, + text_attr: str, + normalizer: Normalizer, + granularity: Granularity, + inter_interval_sep: str = " ", +) -> tuple[list[str], list[int], list[Interval], list[str]]: + """Returns (flat_units, per-unit interval index, sorted intervals, normalized text per interval). + + For char granularity, inserts inter_interval_sep tokens between adjacent + non-empty intervals so word boundaries that fall at interval splits stay + visible to the DP. For word granularity no separator is inserted: word DP + doesn't see whitespace between tokens.""" + in_order = sorted(intervals, key=lambda iv: (iv.start, iv.id)) + flat_units: list[str] = [] + origins: list[int] = [] + norm_texts: list[str] = [] + is_char = granularity == Granularity.CHARACTER + for idx, iv in enumerate(in_order): + raw = iv.extra.get(text_attr, "") + normed = normalizer(raw) + norm_texts.append(normed) + if is_char and flat_units and normed and inter_interval_sep: + for ch in _iter_graphemes(inter_interval_sep): + flat_units.append(ch) + origins.append(idx - 1) + for tok in tokenize(normed, granularity=granularity): + flat_units.append(tok) + origins.append(idx) + return flat_units, origins, in_order, norm_texts + + +def _normalize_to_chars_per_interval( + intervals: Sequence[Interval], + *, + text_attr: str, + normalizer: Normalizer, + inter_interval_sep: str = " ", +) -> tuple[list[str], list[int], list[Interval], list[str]]: + """Build flat char streams + per-char interval origin index. Spaces between + consecutive intervals get the previous interval's origin.""" + in_order = sorted(intervals, key=lambda iv: (iv.start, iv.id)) + chars: list[str] = [] + origins: list[int] = [] + norm_texts: list[str] = [] + for idx, interval in enumerate(in_order): + raw = interval.extra.get(text_attr, "") + normed = normalizer(raw) + norm_texts.append(normed) + if chars and inter_interval_sep and normed: + for ch in _iter_graphemes(inter_interval_sep): + chars.append(ch) + origins.append(idx - 1) + for ch in _iter_graphemes(normed): + chars.append(ch) + origins.append(idx) + return chars, origins, in_order, norm_texts + + +def _overlap_matrix( + gt_intervals: Sequence[Interval], + ds_intervals: Sequence[Interval], + *, + tolerance_ms: float = 0.0, +) -> np.ndarray: + """Boolean GTxDS matrix of temporally-overlapping interval pairs. With a + positive `tolerance_ms`, intervals separated by a gap of up to that many + milliseconds still count as overlapping, so the boundary tolerance relaxes + the alignment overlap gate the same way it relaxes interval matching.""" + if not gt_intervals or not ds_intervals: + return np.zeros((len(gt_intervals), len(ds_intervals)), dtype=bool) + g_start = np.array([iv.start for iv in gt_intervals]) + g_stop = np.array([iv.stop for iv in gt_intervals]) + d_start = np.array([iv.start for iv in ds_intervals]) + d_stop = np.array([iv.stop for iv in ds_intervals]) + lo = np.maximum(g_start[:, None], d_start[None, :]) + hi = np.minimum(g_stop[:, None], d_stop[None, :]) + return hi > lo - tolerance_ms + + +def _overlap_constrained_align( + ref_units: Sequence[str], + ref_origins: Sequence[int], + hyp_units: Sequence[str], + hyp_origins: Sequence[int], + overlap: np.ndarray, + *, + sub_cost: TokenCost = _unit_sub_cost, +) -> tuple[list[AlignmentEdit], int, int, int, int, int, float]: + """Levenshtein DP that forbids match/substitute between tokens whose source + intervals do not temporally overlap. + + `sub_cost(ref_token, hyp_token)` is the substitution cost folded into the + DP objective, so the alignment minimizes the *metric* cost rather than the + hard edit count. With the default unit cost this is plain Levenshtein. + Insert / delete stay at cost 1. Identical tokens always cost 0 (a match), + independent of `sub_cost`. + + Returns (edits, hits, substitutions, insertions, deletions, total_cost). + `total_cost` is the optimal DP cost — the metric-weighted error mass, used + to form the rate. The hits / subs / ins / dels are plain edit-op counts + (integers). This DP emits only EQUAL / SUBSTITUTE / INSERT / DELETE; it does + not produce BOUNDARY edits (N-to-M word merges are reconstructed separately + by `_reconstruct_word_edits_from_chars` on a char-level alignment). + """ + + n, m = len(ref_units), len(hyp_units) + INF = float("inf") + DEL, INS, MATCH, SUB = 1, 2, 3, 4 + + cost = np.full((n + 1, m + 1), INF, dtype=np.float32) + back = np.zeros((n + 1, m + 1), dtype=np.int8) + cost[0, 0] = 0.0 + for i in range(1, n + 1): + cost[i, 0] = i + back[i, 0] = DEL + for j in range(1, m + 1): + cost[0, j] = j + back[0, j] = INS + + for i in range(1, n + 1): + ru = ref_units[i - 1] + ri = ref_origins[i - 1] + for j in range(1, m + 1): + del_c = cost[i - 1, j] + 1 + ins_c = cost[i, j - 1] + 1 + best, op = del_c, DEL + if ins_c < best: + best, op = ins_c, INS + hj = hyp_origins[j - 1] + if overlap[ri, hj]: + if ru == hyp_units[j - 1]: + diag = cost[i - 1, j - 1] # exact match, cost 0 + cand_op = MATCH + else: + diag = cost[i - 1, j - 1] + sub_cost(ru, hyp_units[j - 1]) + cand_op = SUB + if diag < best: + best, op = diag, cand_op + + cost[i, j] = best + back[i, j] = op + + ops_rev: list[tuple[str, int, int, int, int]] = [] + i, j = n, m + while i > 0 or j > 0: + op = back[i, j] + if op == MATCH: + ops_rev.append((EditOp.EQUAL, i - 1, i, j - 1, j)) + i -= 1 + j -= 1 + elif op == SUB: + ops_rev.append((EditOp.SUBSTITUTE, i - 1, i, j - 1, j)) + i -= 1 + j -= 1 + elif op == DEL: + ops_rev.append((EditOp.DELETE, i - 1, i, j, j)) + i -= 1 + elif op == INS: + ops_rev.append((EditOp.INSERT, i, i, j - 1, j)) + j -= 1 + else: + break + ops = list(reversed(ops_rev)) + + edits: list[AlignmentEdit] = [] + for op_name, r_s, r_e, h_s, h_e in ops: + if ( + edits + and edits[-1].op == op_name + and op_name in (EditOp.EQUAL, EditOp.SUBSTITUTE) + and edits[-1].ref_end == r_s + and edits[-1].hyp_end == h_s + ): + last = edits[-1] + last.ref_end = r_e + last.hyp_end = h_e + last.ref_units += list(ref_units[r_s:r_e]) + last.hyp_units += list(hyp_units[h_s:h_e]) + elif ( + edits + and edits[-1].op == EditOp.DELETE + and op_name == EditOp.DELETE + and edits[-1].ref_end == r_s + ): + edits[-1].ref_end = r_e + edits[-1].ref_units += list(ref_units[r_s:r_e]) + elif ( + edits + and edits[-1].op == EditOp.INSERT + and op_name == EditOp.INSERT + and edits[-1].hyp_end == h_s + ): + edits[-1].hyp_end = h_e + edits[-1].hyp_units += list(hyp_units[h_s:h_e]) + else: + edits.append( + AlignmentEdit( + op=op_name, + ref_start=r_s, + ref_end=r_e, + hyp_start=h_s, + hyp_end=h_e, + ref_units=list(ref_units[r_s:r_e]), + hyp_units=list(hyp_units[h_s:h_e]), + ) + ) + + hits = sum(e.ref_end - e.ref_start for e in edits if e.op == EditOp.EQUAL) + subs = sum(e.ref_end - e.ref_start for e in edits if e.op == EditOp.SUBSTITUTE) + dels = sum(e.ref_end - e.ref_start for e in edits if e.op == EditOp.DELETE) + ins = sum(e.hyp_end - e.hyp_start for e in edits if e.op == EditOp.INSERT) + total_cost = float(cost[n, m]) + return edits, hits, subs, ins, dels, total_cost + + +def _tokenize_with_ranges(chars: Sequence[str]) -> tuple[list[tuple[int, int, str]], list[int]]: + """Walk a char stream, return word ranges + per-char word index (-1 for spaces).""" + words: list[tuple[int, int, str]] = [] + idx_per_char: list[int] = [-1] * len(chars) + i = 0 + word_idx = 0 + while i < len(chars): + if chars[i] == " ": + i += 1 + continue + start = i + while i < len(chars) and chars[i] != " ": + idx_per_char[i] = word_idx + i += 1 + words.append((start, i, "".join(chars[start:i]))) + word_idx += 1 + return words, idx_per_char + + +def _reconstruct_word_edits_from_chars( + ref_chars: Sequence[str], + hyp_chars: Sequence[str], + char_edits: list[AlignmentEdit], +) -> tuple[list[str], list[str], list[AlignmentEdit]]: + """Convert a char-level alignment into a word-level edit list. + + Strategy: + * Tokenize ref and hyp char streams into word ranges. + * For each ref char that aligned (equal or sub), record which hyp word + it landed in. Use that to choose each ref word's primary hyp + destination (the hyp word containing most of its aligned chars). + * Group consecutive ref words with the same primary destination → N-to-1 + boundary edit. Ref word spanning >1 hyp word → 1-to-N boundary. + * Unconsumed hyp words appear as inserts in their natural order. + """ + + ref_words, ref_w_of_char = _tokenize_with_ranges(ref_chars) + hyp_words, hyp_w_of_char = _tokenize_with_ranges(hyp_chars) + + ref_to_hyp_char: list[int | None] = [None] * len(ref_chars) + for e in char_edits: + if e.op in (EditOp.EQUAL, EditOp.SUBSTITUTE): + for k in range(e.ref_end - e.ref_start): + ref_to_hyp_char[e.ref_start + k] = e.hyp_start + k + + n_ref_words = len(ref_words) + ref_dest_lists: list[list[int]] = [[] for _ in range(n_ref_words)] + ref_primary: list[int | None] = [None] * n_ref_words + for r_idx, (rs, re_, _r_word) in enumerate(ref_words): + counts: dict[int, int] = {} + order: list[int] = [] + for k in range(rs, re_): + h_pos = ref_to_hyp_char[k] + if h_pos is None or h_pos >= len(hyp_w_of_char): + continue + hw = hyp_w_of_char[h_pos] + if hw < 0: + continue + if hw not in counts: + order.append(hw) + counts[hw] = counts.get(hw, 0) + 1 + ref_dest_lists[r_idx] = order + if counts: + ref_primary[r_idx] = max(counts, key=counts.get) + + hyp_will_be_used: list[bool] = [False] * len(hyp_words) + for dests in ref_dest_lists: + for hw in dests: + hyp_will_be_used[hw] = True + + word_edits: list[AlignmentEdit] = [] + hyp_consumed: list[bool] = [False] * len(hyp_words) + next_hyp_emit = 0 + + def emit_pending_inserts(up_to_hyp_idx: int) -> None: + nonlocal next_hyp_emit + while next_hyp_emit < up_to_hyp_idx: + if not hyp_consumed[next_hyp_emit] and not hyp_will_be_used[next_hyp_emit]: + h_word = hyp_words[next_hyp_emit][2] + ref_pos = word_edits[-1].ref_end if word_edits else 0 + word_edits.append( + AlignmentEdit( + op=EditOp.INSERT, + ref_start=ref_pos, + ref_end=ref_pos, + hyp_start=next_hyp_emit, + hyp_end=next_hyp_emit + 1, + ref_units=[], + hyp_units=[h_word], + ) + ) + hyp_consumed[next_hyp_emit] = True + next_hyp_emit += 1 + + r = 0 + while r < n_ref_words: + primary = ref_primary[r] + dests = ref_dest_lists[r] + r_word = ref_words[r][2] + + if primary is None: + hyp_pos = word_edits[-1].hyp_end if word_edits else next_hyp_emit + word_edits.append( + AlignmentEdit( + op=EditOp.DELETE, + ref_start=r, + ref_end=r + 1, + hyp_start=hyp_pos, + hyp_end=hyp_pos, + ref_units=[r_word], + hyp_units=[], + ) + ) + r += 1 + continue + + emit_pending_inserts(primary) + + group_end = r + while ( + group_end + 1 < n_ref_words + and ref_primary[group_end + 1] == primary + and len(ref_dest_lists[group_end + 1]) == 1 + and len(dests) == 1 + ): + group_end += 1 + + if group_end > r: + group_ref_words = [ref_words[k][2] for k in range(r, group_end + 1)] + h_word = hyp_words[primary][2] + hyp_consumed[primary] = True + word_edits.append( + AlignmentEdit( + op=EditOp.BOUNDARY, + ref_start=r, + ref_end=group_end + 1, + hyp_start=primary, + hyp_end=primary + 1, + ref_units=group_ref_words, + hyp_units=[h_word], + ) + ) + r = group_end + 1 + next_hyp_emit = max(next_hyp_emit, primary + 1) + continue + + if len(dests) > 1: + hyp_word_strs = [hyp_words[hw][2] for hw in dests] + first_hw, last_hw = dests[0], dests[-1] + for hw in dests: + hyp_consumed[hw] = True + word_edits.append( + AlignmentEdit( + op=EditOp.BOUNDARY, + ref_start=r, + ref_end=r + 1, + hyp_start=first_hw, + hyp_end=last_hw + 1, + ref_units=[r_word], + hyp_units=hyp_word_strs, + ) + ) + next_hyp_emit = max(next_hyp_emit, last_hw + 1) + else: + h_word = hyp_words[primary][2] + hyp_consumed[primary] = True + op = EditOp.EQUAL if r_word == h_word else EditOp.SUBSTITUTE + word_edits.append( + AlignmentEdit( + op=op, + ref_start=r, + ref_end=r + 1, + hyp_start=primary, + hyp_end=primary + 1, + ref_units=[r_word], + hyp_units=[h_word], + ) + ) + next_hyp_emit = max(next_hyp_emit, primary + 1) + + r += 1 + + emit_pending_inserts(len(hyp_words)) + + merged: list[AlignmentEdit] = [] + for e in word_edits: + if ( + merged + and merged[-1].op == EditOp.DELETE + and e.op == EditOp.DELETE + and merged[-1].ref_end == e.ref_start + ): + merged[-1].ref_end = e.ref_end + merged[-1].ref_units += e.ref_units + elif ( + merged + and merged[-1].op == EditOp.INSERT + and e.op == EditOp.INSERT + and merged[-1].hyp_end == e.hyp_start + ): + merged[-1].hyp_end = e.hyp_end + merged[-1].hyp_units += e.hyp_units + else: + merged.append(e) + + ref_word_strs = [w for _, _, w in ref_words] + hyp_word_strs = [w for _, _, w in hyp_words] + return ref_word_strs, hyp_word_strs, merged + + +def _align_group_via_chars( + gt_intervals: Sequence[Interval], + ds_intervals: Sequence[Interval], + *, + text_attr: str, + normalizer: Normalizer, + separator: str = " ", + sub_cost: TokenCost = _unit_sub_cost, + overlap_tolerance_ms: float = 0.0, +) -> AlignmentResult: + """Char-level overlap-constrained alignment with word-level edit + reconstruction. Resulting AlignmentResult looks like a word-mode + alignment from the caller's perspective. + + The key feature of this alignment mode is that it can allow flexibility + on word boundaries. Spaces are just characters in the char-level DP, so + any N-to-M boundary disagreement is captured naturally and reclassified + as a `boundary` edit when reconstructing the word view. + + The char DP itself stays unit-cost (graphemes are atomic). `sub_cost` + is the word-level cost applied when scoring the reconstructed word edits, + so the reported `error_rate` is consistent with the chosen metric. + """ + + ref_chars, ref_origins, gt_sorted, ref_norm_parts = _normalize_to_chars_per_interval( + gt_intervals, + text_attr=text_attr, + normalizer=normalizer, + inter_interval_sep=separator, + ) + hyp_chars, hyp_origins, ds_sorted, hyp_norm_parts = _normalize_to_chars_per_interval( + ds_intervals, + text_attr=text_attr, + normalizer=normalizer, + inter_interval_sep=separator, + ) + + ref_norm_joined = separator.join(p for p in ref_norm_parts if p) + hyp_norm_joined = separator.join(p for p in hyp_norm_parts if p) + + if not ref_chars and not hyp_chars: + return AlignmentResult( + Granularity.WORD, + ref_norm_joined, + hyp_norm_joined, + [], + [], + [], + 0.0, + 0, + 0, + 0, + 0, + ) + + overlaps = _overlap_matrix(gt_sorted, ds_sorted, tolerance_ms=overlap_tolerance_ms) + + # Char-level DP stays unit-cost: graphemes are atomic, so a word-level + # metric has no meaning here. Word-level cost weighting happens in the + # word-token path (`_align_group_with_overlap`). + char_edits, _ch_hits, _ch_subs, _ch_ins, _ch_dels, _ = _overlap_constrained_align( + ref_chars, + ref_origins, + hyp_chars, + hyp_origins, + overlaps, + ) + + ref_word_strs, hyp_word_strs, word_edits = _reconstruct_word_edits_from_chars( + ref_chars, + hyp_chars, + char_edits, + ) + + hits = sum(e.ref_end - e.ref_start for e in word_edits if e.op == EditOp.EQUAL) + subs = sum(e.ref_end - e.ref_start for e in word_edits if e.op == EditOp.SUBSTITUTE) + dels = sum(e.ref_end - e.ref_start for e in word_edits if e.op == EditOp.DELETE) + ins = sum(e.hyp_end - e.hyp_start for e in word_edits if e.op == EditOp.INSERT) + + # Score the reconstructed word edits with the chosen cost so error_rate + # matches the cost function (BOUNDARY edits handled by _chunk_cost). + total_err = 0.0 + total_ref = 0 + for e in word_edits: + err, ref = _chunk_cost(e, granularity=Granularity.WORD, token_cost=sub_cost) + total_err += err + total_ref += ref + error_rate = total_err / total_ref if total_ref else float("nan") + + ref_word_origins: list[int] = [] + for r_s, r_e, _ in _tokenize_with_ranges(ref_chars)[0]: + ref_word_origins.append(ref_origins[r_s] if r_s < len(ref_origins) else 0) + hyp_word_origins: list[int] = [] + for h_s, h_e, _ in _tokenize_with_ranges(hyp_chars)[0]: + hyp_word_origins.append(hyp_origins[h_s] if h_s < len(hyp_origins) else 0) + + return AlignmentResult( + granularity=Granularity.WORD, + ref_normalized=ref_norm_joined, + hyp_normalized=hyp_norm_joined, + ref_units=ref_word_strs, + hyp_units=hyp_word_strs, + edits=word_edits, + error_rate=error_rate, + substitutions=subs, + insertions=ins, + deletions=dels, + hits=hits, + ref_origins=ref_word_origins, + hyp_origins=hyp_word_origins, + ) + + +def _align_group_with_overlap( + gt_intervals: Sequence[Interval], + ds_intervals: Sequence[Interval], + *, + text_attr: str, + granularity: Granularity, + normalizer: Normalizer, + separator: str, + sub_cost: TokenCost = _unit_sub_cost, + overlap_tolerance_ms: float = 0.0, +) -> AlignmentResult: + """Join mode alignment that forbids token-level matches between intervals + whose time spans don't overlap. Catches the most obvious spurious matches + (e.g. "police" at t=24s ↔ "police" at t=180s). + + `sub_cost` weights the substitution cost inside the DP, so the alignment + minimizes the chosen cost rather than the hard edit count. With the default + unit cost the result matches plain Levenshtein. At char granularity the + tokens are single graphemes, where every metric degenerates to equality, so + the weighting is a no-op there.""" + + ref_units, ref_origins, gt_sorted, ref_norm_parts = _normalize_tokenize_per_interval( + gt_intervals, + text_attr=text_attr, + normalizer=normalizer, + granularity=granularity, + inter_interval_sep=separator, + ) + hyp_units, hyp_origins, ds_sorted, hyp_norm_parts = _normalize_tokenize_per_interval( + ds_intervals, + text_attr=text_attr, + normalizer=normalizer, + granularity=granularity, + inter_interval_sep=separator, + ) + + ref_norm_joined = separator.join(p for p in ref_norm_parts if p) + hyp_norm_joined = separator.join(p for p in hyp_norm_parts if p) + + if not ref_units and not hyp_units: + return AlignmentResult( + granularity, ref_norm_joined, hyp_norm_joined, [], [], [], 0.0, 0, 0, 0, 0 + ) + if not ref_units: + return AlignmentResult( + granularity, + ref_norm_joined, + hyp_norm_joined, + [], + list(hyp_units), + [AlignmentEdit(EditOp.INSERT, 0, 0, 0, len(hyp_units), [], list(hyp_units))], + float("inf"), + 0, + len(hyp_units), + 0, + 0, + ) + if not hyp_units: + return AlignmentResult( + granularity, + ref_norm_joined, + hyp_norm_joined, + list(ref_units), + [], + [AlignmentEdit(EditOp.DELETE, 0, len(ref_units), 0, 0, list(ref_units), [])], + 1.0, + 0, + 0, + len(ref_units), + 0, + ) + + overlap = _overlap_matrix(gt_sorted, ds_sorted, tolerance_ms=overlap_tolerance_ms) + edits, hits, subs, ins, dels, total_cost = _overlap_constrained_align( + ref_units, + ref_origins, + hyp_units, + hyp_origins, + overlap, + sub_cost=sub_cost, + ) + # Rate uses the metric-weighted DP cost (total_cost), not the raw edit + # count, so it is consistent with the objective the alignment minimized. + error_rate = total_cost / len(ref_units) + return AlignmentResult( + granularity=granularity, + ref_normalized=ref_norm_joined, + hyp_normalized=hyp_norm_joined, + ref_units=list(ref_units), + hyp_units=list(hyp_units), + edits=edits, + error_rate=error_rate, + substitutions=subs, + insertions=ins, + deletions=dels, + hits=hits, + ref_origins=list(ref_origins), + hyp_origins=list(hyp_origins), + ) + + +# ============================ Entry point ======================================== + + +def match_transcriptions( + gt: Sequence[Interval], ds: Sequence[Interval], *, req: TranscriptionRequirement +) -> TranscriptionReport: + normalizer = Normalizer(req.normalizer) + token_cost = make_token_cost(req.metric, req.threshold) + + gt_groups = group_intervals(gt, attribute=req.grouping.attribute) + ds_groups = group_intervals(ds, attribute=req.grouping.attribute) + + groups: list[GroupAlignment] = [] + missing: list[tuple[GroupKey, list[Interval]]] = [] + extra: list[tuple[GroupKey, list[Interval]]] = [] + pairs: list[FilterPairAlignment] = [] + pair_gt_unmatched: list[Interval] = [] + pair_ds_unmatched: list[Interval] = [] + + all_keys = set(gt_groups) | set(ds_groups) + + match req.grouping.strategy: + case GroupingStrategy.JOIN: + for key in sorted(all_keys, key=lambda k: (k[0], k[1] or "")): + gt_group = gt_groups.get(key, []) + ds_group = ds_groups.get(key, []) + if not gt_group: + extra.append((key, ds_group)) + continue + if not ds_group: + missing.append((key, gt_group)) + continue + + if req.enforce_overlap: + aligner_params = { + "text_attr": req.text_attribute, + "normalizer": normalizer, + "separator": req.grouping.join_separator, + "sub_cost": token_cost, + "overlap_tolerance_ms": req.overlap_tolerance_ms, + } + + match (req.align, req.granularity): + case (AlignMode.CHAR, Granularity.WORD): + aligner = _align_group_via_chars + case (AlignMode.CHAR, Granularity.CHARACTER | Granularity.WORD) | ( + AlignMode.WORD, + Granularity.WORD, + ): + aligner = _align_group_with_overlap + aligner_params["granularity"] = req.granularity + case (align, granularity): + assert ( + False + ), f"Unknown alignment, granularity combination ({align, granularity})" + + alignment = aligner(gt_group, ds_group, **aligner_params) + else: + ref_text = _join_group_text( + gt_group, + text_attr=req.text_attribute, + separator=req.grouping.join_separator, + ) + hyp_text = _join_group_text( + ds_group, + text_attr=req.text_attribute, + separator=req.grouping.join_separator, + ) + alignment = _align_pair( + ref_text, + hyp_text, + granularity=req.granularity, + normalizer=normalizer, + sub_cost=token_cost, + ) + groups.append(GroupAlignment(key, gt_group, ds_group, alignment)) + + case GroupingStrategy.FILTER: + for key in sorted(all_keys, key=lambda k: (k[0], k[1] or "")): + gt_group = gt_groups.get(key, []) + ds_group = ds_groups.get(key, []) + matches, _, gt_unmatched, ds_unmatched = _two_stage_match( + gt_group, ds_group, iou_thresh=req.iou_threshold + ) + for gt_ann, ds_ann in matches: + ref_text = gt_ann.extra.get(req.text_attribute, "") + hyp_text = ds_ann.extra.get(req.text_attribute, "") + pairs.append( + FilterPairAlignment( + gt=gt_ann, + ds=ds_ann, + iou=iou(gt_ann, ds_ann), + onset_delta=ds_ann.start - gt_ann.start, + offset_delta=ds_ann.stop - gt_ann.stop, + alignment=_align_pair( + ref_text, + hyp_text, + granularity=req.granularity, + normalizer=normalizer, + sub_cost=token_cost, + ), + ) + ) + pair_gt_unmatched.extend(gt_unmatched) + pair_ds_unmatched.extend(ds_unmatched) + case grouping: + assert False, f"Unknown grouping '{grouping}'" + + return TranscriptionReport( + requirement=req, + groups=groups, + missing_groups=missing, + extra_groups=extra, + pairs=pairs, + pair_gt_unmatched=pair_gt_unmatched, + pair_ds_unmatched=pair_ds_unmatched, + ) diff --git a/packages/examples/cvat/recording-oracle/libs/audio_qe/pyproject.toml b/packages/examples/cvat/recording-oracle/libs/audio_qe/pyproject.toml new file mode 100644 index 0000000000..e9f7cf4d49 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/libs/audio_qe/pyproject.toml @@ -0,0 +1,18 @@ +[tool.poetry] +name = "audio-qe" +version = "0.1.0" +description = "Audio transcription quality estimation" +authors = ["CVAT.ai Corporation"] +license = "MIT" +readme = "README.md" +packages = [{include = "audio_qe"}] + +[tool.poetry.dependencies] +python = "^3.10, <3.13" +numpy = "^1.25.2" +regex = "^2024.11.6" +scipy = "^1.13.1" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/packages/examples/cvat/recording-oracle/pyproject.toml b/packages/examples/cvat/recording-oracle/pyproject.toml index e3df56302c..ea55321ff5 100644 --- a/packages/examples/cvat/recording-oracle/pyproject.toml +++ b/packages/examples/cvat/recording-oracle/pyproject.toml @@ -26,6 +26,7 @@ starlette = ">=0.40.0" # avoid the vulnerability with multipart/form-data cvat-sdk = "2.37.0" cryptography = "<44.0.0" # human-protocol-sdk -> pgpy dep requires cryptography < 45 human-protocol-sdk = "^7.3.1" +audio-qe = {path = "libs/audio_qe", develop = true} [tool.poetry.group.dev.dependencies] pytest = "^7.4.0" From 0e97e49a1fe97c3b311efcd0b686d1f3d4c52f04 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 7 Jul 2026 19:12:07 +0300 Subject: [PATCH 25/53] Use TargetMetrics enum for audio target_metric TranscriptionTaskValidation.target_metric was a plain str; make it the TargetMetrics enum (accuracy/wer/cer) and stop stringifying it in parse_audio_manifest. Applied identically in the exchange and recording oracles. Also correct the stale `# noqa: TC001` to `TCH001` on the runtime-needed pydantic imports. Co-Authored-By: Claude Opus 4.8 (1M context) --- .../src/core/tasks/audio_transcription/spec.py | 7 ++++--- .../src/core/tasks/audio_transcription/spec.py | 7 ++++--- 2 files changed, 8 insertions(+), 6 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py index f80bfc3344..759a493fdc 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py @@ -6,7 +6,8 @@ from pydantic import AnyUrl, BaseModel, Field -from src.core.manifest.shared import BucketUrl # noqa: TC001 # runtime-needed by pydantic +from src.core.manifest.shared import BucketUrl # noqa: TCH001 # runtime-needed by pydantic +from src.core.manifest.v2 import TargetMetrics # noqa: TCH001 # runtime-needed by pydantic from src.core.tasks.errors import UnsupportedManifestError from src.utils.enums import BetterEnumMeta @@ -25,7 +26,7 @@ class TranscriptionTaskData(BaseModel): class TranscriptionTaskValidation(BaseModel): - target_metric: str + target_metric: TargetMetrics target_score: float @@ -129,7 +130,7 @@ def parse_audio_manifest(manifest: JobManifest) -> TranscriptionTaskSpecificatio shared_attributes=list(annotation.shared_attributes), user_guide=annotation.user_guide_url, validation=TranscriptionTaskValidation( - target_metric=validation.target_metric.value, + target_metric=validation.target_metric, target_score=validation.target_score, ), details=TranscriptionDetails(**details_fields), diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py index f80bfc3344..759a493fdc 100644 --- a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py @@ -6,7 +6,8 @@ from pydantic import AnyUrl, BaseModel, Field -from src.core.manifest.shared import BucketUrl # noqa: TC001 # runtime-needed by pydantic +from src.core.manifest.shared import BucketUrl # noqa: TCH001 # runtime-needed by pydantic +from src.core.manifest.v2 import TargetMetrics # noqa: TCH001 # runtime-needed by pydantic from src.core.tasks.errors import UnsupportedManifestError from src.utils.enums import BetterEnumMeta @@ -25,7 +26,7 @@ class TranscriptionTaskData(BaseModel): class TranscriptionTaskValidation(BaseModel): - target_metric: str + target_metric: TargetMetrics target_score: float @@ -129,7 +130,7 @@ def parse_audio_manifest(manifest: JobManifest) -> TranscriptionTaskSpecificatio shared_attributes=list(annotation.shared_attributes), user_guide=annotation.user_guide_url, validation=TranscriptionTaskValidation( - target_metric=validation.target_metric.value, + target_metric=validation.target_metric, target_score=validation.target_score, ), details=TranscriptionDetails(**details_fields), From 118bd80dd89d833e8be99a9f5691067ce1de286c Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 7 Jul 2026 19:53:07 +0300 Subject: [PATCH 26/53] Implement audio transcription quality checker Score audio-transcription assignments in the recording oracle (WER/CER, no CVAT calls, no honeypot rotation): download per-assignment TSVs + GT + assignment mapping, align annotator vs GT per presented honeypot via the audio_qe library, and accept/reject against the manifest target score. Supporting shared-core changes (kept identical across both oracles): - TaskResultsLayout with assignment_annotation_filename(); reused by the EO validator and RO checker. - parse_gt_tsv() extracted into meta.py; reused by the EO builder and RO checker (drops the RO-local _GtRow in favour of InputGtRegion). - NormalizerPreset extended to basic + 15 Tier-1 languages. - Rename LowAccuracyError -> LowQualityError (RO). Co-Authored-By: Claude Opus 4.8 (1M context) --- .../core/tasks/audio_transcription/meta.py | 29 ++ .../core/tasks/audio_transcription/spec.py | 18 +- .../job_completion/validators/audio.py | 7 +- .../builders/audio/transcription.py | 15 +- .../core/tasks/audio_transcription/meta.py | 29 ++ .../core/tasks/audio_transcription/spec.py | 18 +- .../src/core/validation_errors.py | 2 +- .../validation/quality_checkers/audio.py | 298 +++++++++++++++++- .../validation/quality_checkers/image.py | 4 +- .../recording-oracle/tests/unit/__init__.py | 0 .../recording-oracle/tests/unit/conftest.py | 7 + 11 files changed, 404 insertions(+), 23 deletions(-) create mode 100644 packages/examples/cvat/recording-oracle/tests/unit/__init__.py create mode 100644 packages/examples/cvat/recording-oracle/tests/unit/conftest.py diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py index c77df2c7c4..79970d73fe 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py @@ -7,6 +7,8 @@ from __future__ import annotations +import csv +import io import time from datetime import timedelta from enum import Enum @@ -83,6 +85,22 @@ def id(self) -> str: return f"{self.filename}:{self.row_idx}" +def parse_gt_tsv(data: bytes) -> list[InputGtRegion]: + "Parse a GT transcription TSV (columns: filename, start, stop, label, text) into regions." + reader = csv.DictReader(io.StringIO(data.decode("utf-8")), delimiter="\t") + return [ + InputGtRegion( + filename=row["filename"].strip(), + row_idx=row_idx, + start=parse_time(row["start"]), + stop=parse_time(row["stop"]), + label=(row.get("label") or "").strip() or None, + text=(row.get("text") or "").strip(), + ) + for row_idx, row in enumerate(reader) + ] + + class RegionKind(str, Enum, metaclass=BetterEnumMeta): gt = "gt" # ground-truth honeypot region ds = "ds" # regular dataset region to annotate @@ -183,6 +201,17 @@ class TaskMetaLayout: GT_CUTS_DIR = "gt_cuts" +class TaskResultsLayout: + "Layout of the escrow results dir on the oracle bucket." + + ASSIGNMENTS_DIR = "assignments" # per-assignment annotation TSVs (one per CVAT job) + + @classmethod + def assignment_annotation_filename(cls, job_id: int, assignment_id: str) -> str: + "Path (relative to the results dir) of a job's per-assignment annotation TSV." + return f"{cls.ASSIGNMENTS_DIR}/{job_id}-{assignment_id}.tsv" + + class TaskMetaSerializer: def serialize_regions(self, regions: list[PresentedRegion]) -> bytes: return dump_json([_region_to_dict(r) for r in regions]) diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py index 759a493fdc..c5d33d4770 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py @@ -16,7 +16,23 @@ class NormalizerPreset(str, Enum, metaclass=BetterEnumMeta): - basic = "basic" + basic = "basic" # universal Unicode + case + whitespace fold + # Tier-1 language presets (BASIC plus per-language rules) + en = "en" + es = "es" + fr = "fr" + de = "de" + it = "it" + pt = "pt" + nl = "nl" + pl = "pl" + ru = "ru" + tr = "tr" + zh = "zh" + ja = "ja" + ko = "ko" + hi = "hi" + ar = "ar" class TranscriptionTaskData(BaseModel): diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py index f087ffa589..d80701f0e9 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py @@ -3,7 +3,7 @@ from typing import TYPE_CHECKING import src.services.cvat as cvat_service -from src.core.tasks.audio_transcription.meta import CVAT_EXPORT_FORMAT +from src.core.tasks.audio_transcription.meta import CVAT_EXPORT_FORMAT, TaskResultsLayout from src.handlers.job_completion.validators.base import JobValidator from src.handlers.job_export.downloading import download_job_annotations from src.handlers.job_export.results import ( @@ -15,9 +15,6 @@ if TYPE_CHECKING: from src.models.cvat import Job -# subdir (in the escrow results dir) for the per-assignment transcription TSVs -ASSIGNMENTS_DIR = "assignments" - class AudioTranscriptionJobValidator(JobValidator): def _save_annotation_results(self) -> None: @@ -52,6 +49,6 @@ def _save_annotation_results(self) -> None: def _make_annotation_descriptor(self, job: Job, annotations: FileDescriptor) -> FileDescriptor: assignment = job.latest_assignment return FileDescriptor( - filename=f"{ASSIGNMENTS_DIR}/{job.cvat_id}-{assignment.id}.tsv", + filename=TaskResultsLayout.assignment_annotation_filename(job.cvat_id, assignment.id), file=annotations.file, ) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py index ac55a1cca8..3e3a74e607 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py @@ -24,6 +24,7 @@ RegionKind, TaskMetaLayout, TaskMetaSerializer, + parse_gt_tsv, parse_time, ) from src.core.tasks.audio_transcription.spec import parse_audio_manifest @@ -632,18 +633,8 @@ def _parse_regions_tsv(data: bytes) -> dict[str, list[InputRegion]]: def _parse_gt_tsv(data: bytes) -> dict[str, list[InputGtRegion]]: by_file: dict[str, list[InputGtRegion]] = {} - for row_idx, row in enumerate(_read_tsv(data)): - filename = row["filename"].strip() - by_file.setdefault(filename, []).append( - InputGtRegion( - filename=filename, - row_idx=row_idx, - start=parse_time(row["start"]), - stop=parse_time(row["stop"]), - label=(row.get("label") or "").strip() or None, - text=(row.get("text") or "").strip(), - ) - ) + for region in parse_gt_tsv(data): + by_file.setdefault(region.filename, []).append(region) return by_file diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py index c77df2c7c4..79970d73fe 100644 --- a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py @@ -7,6 +7,8 @@ from __future__ import annotations +import csv +import io import time from datetime import timedelta from enum import Enum @@ -83,6 +85,22 @@ def id(self) -> str: return f"{self.filename}:{self.row_idx}" +def parse_gt_tsv(data: bytes) -> list[InputGtRegion]: + "Parse a GT transcription TSV (columns: filename, start, stop, label, text) into regions." + reader = csv.DictReader(io.StringIO(data.decode("utf-8")), delimiter="\t") + return [ + InputGtRegion( + filename=row["filename"].strip(), + row_idx=row_idx, + start=parse_time(row["start"]), + stop=parse_time(row["stop"]), + label=(row.get("label") or "").strip() or None, + text=(row.get("text") or "").strip(), + ) + for row_idx, row in enumerate(reader) + ] + + class RegionKind(str, Enum, metaclass=BetterEnumMeta): gt = "gt" # ground-truth honeypot region ds = "ds" # regular dataset region to annotate @@ -183,6 +201,17 @@ class TaskMetaLayout: GT_CUTS_DIR = "gt_cuts" +class TaskResultsLayout: + "Layout of the escrow results dir on the oracle bucket." + + ASSIGNMENTS_DIR = "assignments" # per-assignment annotation TSVs (one per CVAT job) + + @classmethod + def assignment_annotation_filename(cls, job_id: int, assignment_id: str) -> str: + "Path (relative to the results dir) of a job's per-assignment annotation TSV." + return f"{cls.ASSIGNMENTS_DIR}/{job_id}-{assignment_id}.tsv" + + class TaskMetaSerializer: def serialize_regions(self, regions: list[PresentedRegion]) -> bytes: return dump_json([_region_to_dict(r) for r in regions]) diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py index 759a493fdc..c5d33d4770 100644 --- a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py @@ -16,7 +16,23 @@ class NormalizerPreset(str, Enum, metaclass=BetterEnumMeta): - basic = "basic" + basic = "basic" # universal Unicode + case + whitespace fold + # Tier-1 language presets (BASIC plus per-language rules) + en = "en" + es = "es" + fr = "fr" + de = "de" + it = "it" + pt = "pt" + nl = "nl" + pl = "pl" + ru = "ru" + tr = "tr" + zh = "zh" + ja = "ja" + ko = "ko" + hi = "hi" + ar = "ar" class TranscriptionTaskData(BaseModel): diff --git a/packages/examples/cvat/recording-oracle/src/core/validation_errors.py b/packages/examples/cvat/recording-oracle/src/core/validation_errors.py index 40ad8c1d39..0d05ba7a0f 100644 --- a/packages/examples/cvat/recording-oracle/src/core/validation_errors.py +++ b/packages/examples/cvat/recording-oracle/src/core/validation_errors.py @@ -11,7 +11,7 @@ def __str__(self) -> str: ) -class LowAccuracyError(DatasetValidationError): +class LowQualityError(DatasetValidationError): pass diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py index 0e85ddd8c3..6aad32e374 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py @@ -1,8 +1,304 @@ from __future__ import annotations +import csv +import io +from typing import TYPE_CHECKING + +from audio_qe import ( + Granularity, + GroupingConfig, + GroupingStrategy, + Interval, + Metric, + Normalizer, + NormalizerConfig, + NormalizerMode, + TranscriptionRequirement, + lang_preset, + match_transcriptions, +) +from audio_qe.data import AlignMode +from audio_qe.transcription_matching import aggregate_metric, tokenize + +from src.core.config import Config +from src.core.manifest.v2 import TargetMetrics +from src.core.storage import compose_data_bucket_filename, compose_results_bucket_filename +from src.core.tasks.audio_transcription.meta import ( + InputGtRegion, + RegionKind, + TaskMetaLayout, + TaskMetaSerializer, + TaskResultsLayout, + parse_gt_tsv, + parse_time, +) +from src.core.tasks.audio_transcription.spec import NormalizerPreset, parse_audio_manifest +from src.core.validation_errors import LowQualityError, TooFewGtError +from src.handlers.validation.common import UNKNOWN_QUALITY from src.handlers.validation.quality_checkers.base import TaskQualityChecker +from src.services.cloud import make_client as make_cloud_client +from src.services.cloud.utils import BucketAccessInfo + +if TYPE_CHECKING: + from src.core.annotation_meta import JobMeta + from src.core.tasks.audio_transcription.meta import Assignment, PlacedRegion + from src.services.cloud.client import StorageClient + +# Groups are keyed by the presented honeypot so each honeypot's transcription is aligned in +# isolation (no cross-honeypot / cross-file overlap). +_GROUP_ATTR = "honeypot_id" class AudioTaskQualityChecker(TaskQualityChecker): + """ + Scores audio-transcription assignments. CVAT doesn't support quality computation for such tasks + yet, so the computations are performed in the oracle. + + For each job it reconstructs the annotator's honeypot transcriptions (from the per-assignment + TSV + the assignment/clip mapping), aligns them against the ground truth per presented honeypot, + and computes the WER/CER error rate. + + Honeypot rotation is not used. + """ + + ALLOWED_METRICS = (TargetMetrics.wer, TargetMetrics.cer) + + _METRIC_PARAMS = { + TargetMetrics.wer: { + "granularity": Granularity.WORD, + "align": AlignMode.WORD, + "metric": Metric.EQUALITY, + }, + TargetMetrics.cer: { + "granularity": Granularity.CHARACTER, + "align": AlignMode.CHAR, + "metric": Metric.EQUALITY, + } + } + def _validate_jobs(self) -> None: - raise NotImplementedError("audio_transcription validation not implemented yet") + spec = parse_audio_manifest(self.manifest) + + metric = spec.validation.target_metric + if metric not in self.ALLOWED_METRICS: + raise NotImplementedError( + "Audio transcription validation only supports {} metrics, got '{}'".format( + ', '.join(v.value for v in self.ALLOWED_METRICS), + metric.value + ) + ) + + target = spec.validation.target_score + transcription_attr = spec.details.transcription_attr_name + + req = TranscriptionRequirement( + **self._METRIC_PARAMS[metric], + text_attribute=transcription_attr, + normalizer=self._normalizer_config(spec.details.normalizer), + grouping=GroupingConfig(attribute=_GROUP_ATTR, strategy=GroupingStrategy.JOIN), + ) + normalizer = Normalizer(req.normalizer) + + client = make_cloud_client( + BucketAccessInfo.parse_obj(Config.exchange_oracle_storage_config) + ) + gt_rows = self._load_gt(client) + assignments = self._load_assignments(client) + annotations = self._download_assignment_tsvs(client) + + job_results: dict[int, float] = {} + rejected_jobs: dict[int, object] = {} + + for job_meta in self._meta.jobs: + gt_intervals, hyp_intervals = self._build_intervals( + annotations[job_meta.job_id], assignments, gt_rows, transcription_attr + ) + if not gt_intervals: + job_results[job_meta.job_id] = UNKNOWN_QUALITY + rejected_jobs[job_meta.job_id] = TooFewGtError() + continue + + report = match_transcriptions(gt_intervals, hyp_intervals, req=req) + rate = self._job_error_rate(report, req, normalizer) + job_results[job_meta.job_id] = rate + + # WER/CER are lower-is-better; reject when the error rate exceeds the target. + if rate > target: + rejected_jobs[job_meta.job_id] = LowQualityError() + + self._job_results = job_results + self._rejected_jobs = rejected_jobs + + # No honeypot rotation for audio: empty gt_stats skips the rotation branch in + # process_intermediate_results; the layout maps are unused but must be set for validate(). + self._gt_stats = {} + self._task_id_to_val_layout = {} + self._task_id_to_honeypots_mapping = {} + self._task_id_to_sequence_of_frame_names = {} + self._task_id_to_labels = {} + + @staticmethod + def _normalizer_config(preset: NormalizerPreset | None) -> NormalizerConfig: + # Absent normalizer = passthrough; basic = built-in mode; a language code resolves to its + # preset (BASIC plus per-language rules). + if preset is None: + return NormalizerConfig(mode=NormalizerMode.NONE) + if preset == NormalizerPreset.basic: + return NormalizerConfig(mode=NormalizerMode.BASIC) + return lang_preset(preset.value) + + def _load_gt(self, client: StorageClient) -> dict[str, InputGtRegion]: + data = client.download_file( + compose_data_bucket_filename( + self.escrow_address, self.chain_id, TaskMetaLayout.GT_FILENAME + ) + ) + return {region.id: region for region in parse_gt_tsv(data)} + + def _load_assignments(self, client: StorageClient) -> dict[str, Assignment]: + data = client.download_file( + compose_data_bucket_filename( + self.escrow_address, self.chain_id, TaskMetaLayout.ASSIGNMENTS_FILENAME + ) + ) + return {a.clip_filename: a for a in TaskMetaSerializer().parse_assignments(data)} + + def _build_intervals( + self, + annotation: bytes, + assignments: dict[str, Assignment], + gt_rows: dict[str, InputGtRegion], + attr: str, + ) -> tuple[list[Interval], list[Interval]]: + rows = list(csv.DictReader(io.StringIO(annotation.decode("utf-8")), delimiter="\t")) + + assignment = self._resolve_assignment(rows, assignments) + if assignment is None: + return [], [] + + gt_placements = [p for p in assignment.placed if p.kind == RegionKind.gt] + + # Ground-truth reference intervals for every presented honeypot (built regardless of what + # the annotator produced, so an omitted honeypot becomes a missing group = full errors). + gt_intervals: list[Interval] = [] + counter = 0 + for placed in gt_placements: + honeypot_id = self._honeypot_id(placed) + for region_id in placed.input_ids: + gt = gt_rows.get(region_id) + if gt is None: + continue + gt_intervals.append( + Interval( + id=counter, + start=gt.start.total_seconds() * 1000.0, + stop=gt.stop.total_seconds() * 1000.0, + label=gt.label or "", + extra={attr: gt.text, _GROUP_ATTR: honeypot_id}, + ) + ) + counter += 1 + + # Annotator (hypothesis) intervals: only rows falling inside a honeypot window, mapped from + # clip-time back to source-file time. + hyp_intervals: list[Interval] = [] + for row in rows: + start_s = parse_time(row["start"]).total_seconds() + stop_s = parse_time(row["stop"]).total_seconds() + placed = self._placed_at(assignment, start_s) + if placed is None or placed.kind != RegionKind.gt: + continue + offset = placed.file_start - placed.clip_start + hyp_intervals.append( + Interval( + id=counter, + start=(start_s + offset) * 1000.0, + stop=(stop_s + offset) * 1000.0, + label=row.get("label", "") or "", + extra={ + attr: row.get(attr, "") or "", + _GROUP_ATTR: self._honeypot_id(placed), + }, + ) + ) + counter += 1 + + return gt_intervals, hyp_intervals + + def _download_assignment_tsvs(self, client: StorageClient) -> dict[int, bytes]: + "Download every job's per-assignment annotation TSV up front, keyed by cvat job id." + return { + job_meta.job_id: self._download_assignment_tsv(client, job_meta) + for job_meta in self._meta.jobs + } + + def _download_assignment_tsv(self, client: StorageClient, job_meta: JobMeta) -> bytes: + return client.download_file( + compose_results_bucket_filename( + self.escrow_address, + self.chain_id, + TaskResultsLayout.assignment_annotation_filename( + job_meta.job_id, job_meta.assignment_id + ), + ) + ) + + @staticmethod + def _resolve_assignment( + rows: list[dict], assignments: dict[str, Assignment] + ) -> Assignment | None: + for row in rows: + clip = row["filename"].rsplit("/", 1)[-1] + if clip in assignments: + return assignments[clip] + return None + + @staticmethod + def _honeypot_id(placed: PlacedRegion) -> str: + # A gt placement is always built from >=1 GT input ROI, so input_ids is non-empty. + assert placed.input_ids, f"honeypot placement has no input regions: {placed}" + return ",".join(placed.input_ids) + + @staticmethod + def _placed_at(assignment: Assignment, clip_time_s: float) -> PlacedRegion | None: + return next( + (p for p in assignment.placed if p.clip_start <= clip_time_s < p.clip_stop), + None, + ) + + def _job_error_rate(self, report, req: TranscriptionRequirement, normalizer) -> float: + """ + Micro-averaged error rate over the assignment's honeypots. The library's ``corpus_rate`` + only aggregates matched groups, so missing groups (honeypot the annotator left empty) are + added as full deletions and extra groups as insertions (mirrors the CVAT accumulation). + """ + total_err = 0.0 + total_ref = 0 + + matched_ref = sum(len(a.ref_units) for a in report.alignments) + if matched_ref: + _, matched_rate = aggregate_metric( + report.alignments, + metric=req.metric, + threshold=req.threshold, + granularity=req.granularity, + ) + total_err += matched_rate * matched_ref + total_ref += matched_ref + + for _key, gt_group in report.missing_groups: + units = self._group_units(gt_group, req, normalizer) + total_err += len(units) + total_ref += len(units) + + for _key, ds_group in report.extra_groups: + total_err += len(self._group_units(ds_group, req, normalizer)) + + return total_err / total_ref if total_ref else 0.0 + + @staticmethod + def _group_units(group: list[Interval], req: TranscriptionRequirement, normalizer) -> list[str]: + joined = req.grouping.join_separator.join( + iv.extra.get(req.text_attribute, "") for iv in sorted(group, key=lambda i: i.start) + ) + return tokenize(normalizer(joined), granularity=req.granularity) diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/image.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/image.py index 337480d934..4851724c97 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/image.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/image.py @@ -4,7 +4,7 @@ import src.cvat.api_calls as cvat_api from src.core.gt_stats import GtKey, ValidationFrameStats -from src.core.validation_errors import LowAccuracyError, TooFewGtError +from src.core.validation_errors import LowQualityError, TooFewGtError from src.handlers.validation.common import UNKNOWN_QUALITY from src.handlers.validation.quality_checkers.base import TaskQualityChecker @@ -107,7 +107,7 @@ def _validate_jobs(self) -> None: job_results[cvat_job_id] = accuracy if accuracy < min_quality: - rejected_jobs[cvat_job_id] = LowAccuracyError() + rejected_jobs[cvat_job_id] = LowQualityError() for gt_stat in self._gt_stats.values(): gt_stat.total_uses = max( diff --git a/packages/examples/cvat/recording-oracle/tests/unit/__init__.py b/packages/examples/cvat/recording-oracle/tests/unit/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/examples/cvat/recording-oracle/tests/unit/conftest.py b/packages/examples/cvat/recording-oracle/tests/unit/conftest.py new file mode 100644 index 0000000000..e83292c355 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/tests/unit/conftest.py @@ -0,0 +1,7 @@ +import pytest + + +@pytest.fixture(autouse=True) +def db(): + # Override the root autouse DB fixture: unit tests here need no database. + yield From 9592f8be63de67acbf54a945eec534eb66b5dd41 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 7 Jul 2026 19:57:07 +0300 Subject: [PATCH 27/53] Set poetry package-mode = false in the CVAT oracle examples The oracle apps run from src/ and are never installed as a package, but pyproject declared packages = [{include = "_oracle"}] pointing at a non-existent top-level dir, so `poetry install` failed/warned with 'does not contain any element'. Mark both projects non-package so install resolves dependencies only. Co-Authored-By: Claude Opus 4.8 (1M context) --- packages/examples/cvat/exchange-oracle/pyproject.toml | 3 +-- packages/examples/cvat/recording-oracle/pyproject.toml | 3 +-- 2 files changed, 2 insertions(+), 4 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/pyproject.toml b/packages/examples/cvat/exchange-oracle/pyproject.toml index 7d2970cda7..718d9713ea 100644 --- a/packages/examples/cvat/exchange-oracle/pyproject.toml +++ b/packages/examples/cvat/exchange-oracle/pyproject.toml @@ -3,8 +3,7 @@ name = "exchange-oracle" version = "0.1.0" description = "An example of decentralized exchange oracle with CVAT as annotation instrument" authors = ["Sergey Dzeranov "] -readme = "README.md" -packages = [{include = "exchange_oracle"}] +package-mode = false [tool.poetry.dependencies] python = "^3.10,<3.13" diff --git a/packages/examples/cvat/recording-oracle/pyproject.toml b/packages/examples/cvat/recording-oracle/pyproject.toml index ea55321ff5..27659af0ba 100644 --- a/packages/examples/cvat/recording-oracle/pyproject.toml +++ b/packages/examples/cvat/recording-oracle/pyproject.toml @@ -3,8 +3,7 @@ name = "recording-oracle" version = "0.1.0" description = "An example of recording with with CVAT as an annotation instrument" authors = ["Sergey Dzeranov ", "Marius Hamacher "] -readme = "README.md" -packages = [{include = "recording_oracle"}] +package-mode = false [tool.poetry.dependencies] python = "^3.10, <3.13" From c79509124b23daecd8a7456ed25579362d4b090e Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 7 Jul 2026 20:17:32 +0300 Subject: [PATCH 28/53] Move RO entrypoints under src/entrypoints; use in-project venvs Mirror the exchange oracle layout in the recording oracle: relocate the root run.py / debug.py to src/entrypoints/ and launch them via 'python -m src.entrypoints.{run,debug}' in the start scripts. Recommend in-project virtualenvs (poetry config virtualenvs.in-project true) in both READMEs so editors/debuggers pick up the .venv interpreter (needed for the RO's local audio-qe path dependency), and ignore /.venv in the exchange oracle .gitignore. Co-Authored-By: Claude Opus 4.8 (1M context) --- packages/examples/cvat/exchange-oracle/.gitignore | 2 ++ packages/examples/cvat/exchange-oracle/README.md | 2 +- packages/examples/cvat/recording-oracle/.gitignore | 1 + packages/examples/cvat/recording-oracle/README.md | 7 +++---- packages/examples/cvat/recording-oracle/bin/start_debug.sh | 2 +- packages/examples/cvat/recording-oracle/bin/start_dev.sh | 2 +- .../cvat/recording-oracle/src/entrypoints/__init__.py | 0 .../cvat/recording-oracle/{ => src/entrypoints}/debug.py | 0 .../cvat/recording-oracle/{ => src/entrypoints}/run.py | 0 9 files changed, 9 insertions(+), 7 deletions(-) create mode 100644 packages/examples/cvat/recording-oracle/src/entrypoints/__init__.py rename packages/examples/cvat/recording-oracle/{ => src/entrypoints}/debug.py (100%) rename packages/examples/cvat/recording-oracle/{ => src/entrypoints}/run.py (100%) diff --git a/packages/examples/cvat/exchange-oracle/.gitignore b/packages/examples/cvat/exchange-oracle/.gitignore index 12f5b4f876..bc7f61aa0e 100644 --- a/packages/examples/cvat/exchange-oracle/.gitignore +++ b/packages/examples/cvat/exchange-oracle/.gitignore @@ -1,3 +1,5 @@ +/.venv + # Byte-compiled / optimized / DLL files __pycache__/ .pytest_cache diff --git a/packages/examples/cvat/exchange-oracle/README.md b/packages/examples/cvat/exchange-oracle/README.md index ba04d13e11..d0165e2a63 100644 --- a/packages/examples/cvat/exchange-oracle/README.md +++ b/packages/examples/cvat/exchange-oracle/README.md @@ -4,7 +4,7 @@ Prerequisites: ``` -1. poetry shell +1. poetry config virtualenvs.in-project true # create .venv inside the project so editors/debuggers pick it up 2. poetry install 3. pre-commit install 4. Make sure you have postgres-devel packages installed on your OS. It is required for psycopg2 build phase. diff --git a/packages/examples/cvat/recording-oracle/.gitignore b/packages/examples/cvat/recording-oracle/.gitignore index a8457398f9..f54bfa1040 100644 --- a/packages/examples/cvat/recording-oracle/.gitignore +++ b/packages/examples/cvat/recording-oracle/.gitignore @@ -1,4 +1,5 @@ /.venv + # Byte-compiled / optimized / DLL files __pycache__/ .pytest_cache diff --git a/packages/examples/cvat/recording-oracle/README.md b/packages/examples/cvat/recording-oracle/README.md index 77bee0b36d..d32bdf67ec 100644 --- a/packages/examples/cvat/recording-oracle/README.md +++ b/packages/examples/cvat/recording-oracle/README.md @@ -4,14 +4,13 @@ Prerequisites: ``` -1. poetry shell +1. poetry config virtualenvs.in-project true # create .venv inside the project so editors/debuggers pick it up 2. poetry install 3. pre-commit install 4. Make sure you have postgres-devel packages installed on your OS. It is required for psycopg2 build phase. `libpq-dev` in Debian/Ubuntu, `libpq-devel` on Centos/Fedora/Cygwin/Babun.) `postgres` package in the homebrew for macOS -``` - +``` For deployment it is required to have PostgreSQL(v14.4) @@ -30,7 +29,7 @@ docker compose -f docker-compose.dev.yml up -d ./bin/start_debug.sh ``` -When running service from `./bin/start_debug.sh` (`debug.py`), simplified development flow is available: +When running service from `./bin/start_debug.sh`, simplified development flow is available: - When webhook signature is required, `{oracle_name}:unique_string` can be used - You can upload manifest.json to minio `manifests` bucket and use its filename as an escrow_address diff --git a/packages/examples/cvat/recording-oracle/bin/start_debug.sh b/packages/examples/cvat/recording-oracle/bin/start_debug.sh index ff93f4765c..a7d31fdc4f 100755 --- a/packages/examples/cvat/recording-oracle/bin/start_debug.sh +++ b/packages/examples/cvat/recording-oracle/bin/start_debug.sh @@ -1,4 +1,4 @@ export ENVIRONMENT=development alembic upgrade head -python debug.py \ No newline at end of file +python -m src.entrypoints.debug \ No newline at end of file diff --git a/packages/examples/cvat/recording-oracle/bin/start_dev.sh b/packages/examples/cvat/recording-oracle/bin/start_dev.sh index 64f2bd6fe1..66f642002c 100755 --- a/packages/examples/cvat/recording-oracle/bin/start_dev.sh +++ b/packages/examples/cvat/recording-oracle/bin/start_dev.sh @@ -1,4 +1,4 @@ export ENVIRONMENT=development alembic upgrade head -python run.py \ No newline at end of file +python -m src.entrypoints.run \ No newline at end of file diff --git a/packages/examples/cvat/recording-oracle/src/entrypoints/__init__.py b/packages/examples/cvat/recording-oracle/src/entrypoints/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/examples/cvat/recording-oracle/debug.py b/packages/examples/cvat/recording-oracle/src/entrypoints/debug.py similarity index 100% rename from packages/examples/cvat/recording-oracle/debug.py rename to packages/examples/cvat/recording-oracle/src/entrypoints/debug.py diff --git a/packages/examples/cvat/recording-oracle/run.py b/packages/examples/cvat/recording-oracle/src/entrypoints/run.py similarity index 100% rename from packages/examples/cvat/recording-oracle/run.py rename to packages/examples/cvat/recording-oracle/src/entrypoints/run.py From 6af734c813ccb20d7a2162db4bb9644df5165cce Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Wed, 8 Jul 2026 13:59:00 +0300 Subject: [PATCH 29/53] Add audio final-result export in the recording oracle Restructure the escrow_recorded/export flow into a completion/ package (handlers + final_results + task_exporters/), mirroring validation/. Add a task-dispatched TaskExporter family: the image exporter wraps the existing datumaro GT merge; the audio exporter appends the ground-truth rows from gt.tsv to the exchange oracle's annotations.tsv (GT copied into the output), sorted per file+time with reassigned ids and a 'source' column marking each row as 'annotation' or 'gt', packed into the standard resulting_annotations.zip. Share the merged-annotations filename via TaskResultsLayout.ANNOTATIONS_FILENAME across both oracles. Co-Authored-By: Claude Opus 4.8 (1M context) --- .../core/tasks/audio_transcription/meta.py | 1 + .../handlers/job_export/exporters/audio.py | 8 +- .../core/tasks/audio_transcription/meta.py | 1 + .../src/handlers/completion/__init__.py | 3 + .../src/handlers/completion/final_results.py | 109 ++++++++++++++++ .../{completion.py => completion/handlers.py} | 51 ++------ .../completion/task_exporters/__init__.py | 0 .../completion/task_exporters/audio.py | 75 +++++++++++ .../completion/task_exporters/base.py | 49 +++++++ .../completion/task_exporters/factory.py | 40 ++++++ .../task_exporters/image.py} | 120 ++---------------- .../src/handlers/validation/__init__.py | 2 - .../services/test_validation_service.py | 42 +++--- 13 files changed, 329 insertions(+), 172 deletions(-) create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/completion/__init__.py create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/completion/final_results.py rename packages/examples/cvat/recording-oracle/src/handlers/{completion.py => completion/handlers.py} (76%) create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/__init__.py create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/audio.py create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/base.py create mode 100644 packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/factory.py rename packages/examples/cvat/recording-oracle/src/handlers/{validation/final_results.py => completion/task_exporters/image.py} (67%) diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py index 79970d73fe..8c39abd5d2 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py @@ -205,6 +205,7 @@ class TaskResultsLayout: "Layout of the escrow results dir on the oracle bucket." ASSIGNMENTS_DIR = "assignments" # per-assignment annotation TSVs (one per CVAT job) + ANNOTATIONS_FILENAME = "annotations.tsv" # merged final annotations (DS rows + GT) @classmethod def assignment_annotation_filename(cls, job_id: int, assignment_id: str) -> str: diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py index 761e6f117e..5d45da510d 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py @@ -12,6 +12,7 @@ CVAT_EXPORT_FORMAT, TaskMetaLayout, TaskMetaSerializer, + TaskResultsLayout, format_time, parse_time, ) @@ -30,9 +31,6 @@ from src.core.tasks.audio_transcription.meta import Assignment, PlacedRegion -# merged resulting annotations file (in the escrow results dir), GT-annotations structure -RESULTING_ANNOTATIONS_FILE = "annotations.tsv" - _LEADING_COLUMNS = ["id", "input_region_ids", "filename", "start", "stop", "label"] @@ -69,7 +67,9 @@ def export(self) -> None: self.logger.debug(f"Uploading merged annotations for the escrow ({self.escrow_address=})") upload_escrow_results( files=[ - FileDescriptor(filename=RESULTING_ANNOTATIONS_FILE, file=io.BytesIO(merged)), + FileDescriptor( + filename=TaskResultsLayout.ANNOTATIONS_FILENAME, file=io.BytesIO(merged) + ), prepare_annotation_metafile(jobs=jobs), ], chain_id=self.chain_id, diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py index 79970d73fe..e612a2c0a0 100644 --- a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py @@ -205,6 +205,7 @@ class TaskResultsLayout: "Layout of the escrow results dir on the oracle bucket." ASSIGNMENTS_DIR = "assignments" # per-assignment annotation TSVs (one per CVAT job) + ANNOTATIONS_FILENAME = "annotations.tsv" # merged annotations (without honeypots or GT) @classmethod def assignment_annotation_filename(cls, job_id: int, assignment_id: str) -> str: diff --git a/packages/examples/cvat/recording-oracle/src/handlers/completion/__init__.py b/packages/examples/cvat/recording-oracle/src/handlers/completion/__init__.py new file mode 100644 index 0000000000..6f744a8a50 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/handlers/completion/__init__.py @@ -0,0 +1,3 @@ +from src.handlers.completion.handlers import export_results + +__all__ = ["export_results"] diff --git a/packages/examples/cvat/recording-oracle/src/handlers/completion/final_results.py b/packages/examples/cvat/recording-oracle/src/handlers/completion/final_results.py new file mode 100644 index 0000000000..4af77047b3 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/handlers/completion/final_results.py @@ -0,0 +1,109 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +import numpy as np + +import src.services.validation as db_service +from src.core.validation_meta import JobMeta, ResultMeta, ValidationMeta +from src.core.validation_results import FinalResult +from src.db.utils import ForUpdateParams +from src.handlers.completion.task_exporters.factory import create_exporter +from src.handlers.validation.common import UNKNOWN_QUALITY, _JobResults + +if TYPE_CHECKING: + import logging + + from sqlalchemy.orm import Session + + from src.core.annotation_meta import AnnotationMeta + from src.core.manifest import ManifestBase + + +def process_final_results( + session: Session, + *, + escrow_address: str, + chain_id: int, + meta: AnnotationMeta, + manifest: ManifestBase, + logger: logging.Logger, +) -> FinalResult: + assert logger # unused + + task = db_service.get_task_by_escrow_address( + session, + escrow_address, + for_update=ForUpdateParams( + nowait=True + ), # should not happen, but waiting should not block processing + ) + if not task: + raise AssertionError(f"Validation results for escrow {escrow_address} not found") + + exporter = create_exporter(manifest, escrow_address, chain_id, session) + resulting_annotations = exporter.export() + + job_final_result_ids: dict[str, str] = {} + + for job_meta in meta.jobs: + job = db_service.get_job_by_cvat_id(session, job_meta.job_id) + if not job: + raise AssertionError( + f"Can't find validation results for job " f"{job_meta.job_id} ({escrow_address=})" + ) + + assignment_validation_result = db_service.get_validation_result_by_assignment_id( + session, job_meta.assignment_id + ) + if not assignment_validation_result: + raise AssertionError( + f"Can't find validation results for assignments " + f"{job_meta.assignment_id} ({escrow_address=})" + ) + + job_final_result_ids[job.id] = assignment_validation_result.id + + task_jobs = task.jobs + + task_validation_results = db_service.get_task_validation_results(session, task.id) + + job_id_to_meta_id = {job.id: i for i, job in enumerate(task_jobs)} + + validation_result_id_to_meta_id = {r.id: i for i, r in enumerate(task_validation_results)} + + validation_meta = ValidationMeta( + jobs=[ + JobMeta( + job_id=job_id_to_meta_id[job.id], + final_result_id=validation_result_id_to_meta_id[job_final_result_ids[job.id]], + ) + for job in task_jobs + ], + results=[ + ResultMeta( + id=validation_result_id_to_meta_id[r.id], + job_id=job_id_to_meta_id[r.job.id], + annotator_wallet_address=r.annotator_wallet_address, + annotation_quality=r.annotation_quality, + ) + for r in task_validation_results + ], + ) + + # Include final results for all jobs + job_results: _JobResults = { + job.cvat_id: task_validation_results[ + validation_result_id_to_meta_id[job_final_result_ids[job.id]] + ].annotation_quality + for job in task_jobs + } + + return FinalResult( + job_results=job_results, + validation_meta=validation_meta, + resulting_annotations=resulting_annotations, + average_quality=np.mean( + [v for v in job_results.values() if v != UNKNOWN_QUALITY and v >= 0] or [0] + ), + ) diff --git a/packages/examples/cvat/recording-oracle/src/handlers/completion.py b/packages/examples/cvat/recording-oracle/src/handlers/completion/handlers.py similarity index 76% rename from packages/examples/cvat/recording-oracle/src/handlers/completion.py rename to packages/examples/cvat/recording-oracle/src/handlers/completion/handlers.py index 00efffdb25..ef51d1d71f 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/completion.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/completion/handlers.py @@ -10,19 +10,14 @@ from src.chain import escrow from src.core.config import Config from src.core.manifest import ManifestBase, parse_manifest -from src.core.oracle_events import ( - RecordingOracleEvent_JobCompleted, -) +from src.core.oracle_events import RecordingOracleEvent_JobCompleted from src.core.storage import ( compose_results_bucket_filename as compose_annotation_results_bucket_filename, ) from src.core.types import OracleWebhookTypes from src.core.validation_results import FinalResult -from src.handlers.validation import ( - parse_annotation_metafile, - process_final_results, - serialize_validation_meta, -) +from src.handlers.completion.final_results import process_final_results +from src.handlers.validation import parse_annotation_metafile, serialize_validation_meta from src.log import ROOT_LOGGER_NAME from src.services.cloud import make_client as make_cloud_client from src.services.cloud.utils import BucketAccessInfo @@ -32,7 +27,7 @@ module_logger_name = f"{ROOT_LOGGER_NAME}.cron.webhook" -class _TaskUploader: +class _EscrowExporter: def __init__( self, escrow_address: str, chain_id: int, manifest: ManifestBase, db_session: Session ) -> None: @@ -45,7 +40,6 @@ def __init__( self.data_bucket = BucketAccessInfo.parse_obj(Config.exchange_oracle_storage_config) self.annotation_meta: annotation.AnnotationMeta | None = None - self.merged_annotations: bytes | None = None def set_logger(self, logger: Logger): self.logger = logger @@ -61,55 +55,32 @@ def _download_results_meta(self): annotation_metafile_data = data_bucket_client.download_file(annotation_meta_path) self.annotation_meta = parse_annotation_metafile(io.BytesIO(annotation_metafile_data)) - def _download_annotations(self): - assert self.annotation_meta is not None - - data_bucket_client = make_cloud_client(self.data_bucket) - - exchange_oracle_merged_annotation_path = compose_annotation_results_bucket_filename( - self.escrow_address, - self.chain_id, - annotation.RESULTING_ANNOTATIONS_FILE, - ) - merged_annotations = data_bucket_client.download_file( - exchange_oracle_merged_annotation_path - ) - - self.merged_annotations = merged_annotations - def _download_results(self): self._download_results_meta() - self._download_annotations() def _process_annotation_results(self) -> FinalResult: assert self.annotation_meta is not None - assert self.merged_annotations is not None return process_final_results( session=self.db_session, escrow_address=self.escrow_address, chain_id=self.chain_id, meta=self.annotation_meta, - merged_annotations=io.BytesIO(self.merged_annotations), manifest=self.manifest, logger=self.logger, ) - def upload(self): + def export(self): self._download_results() - validation_result = self._process_annotation_results() + export_result = self._process_annotation_results() - self._handle_validation_result(validation_result) + self._handle_result(export_result) def _compose_validation_results_bucket_filename(self, filename: str) -> str: return f"{self.escrow_address}@{self.chain_id}/{filename}" - _LOW_QUALITY_REASON_MESSAGE_TEMPLATE = ( - "Annotation quality ({}) is below the required threshold ({})" - ) - - def _handle_validation_result(self, export_result: FinalResult): + def _handle_result(self, export_result: FinalResult): logger = self.logger escrow_address = self.escrow_address chain_id = self.chain_id @@ -166,8 +137,8 @@ def export_results( manifest = parse_manifest(escrow.get_escrow_manifest(chain_id, escrow_address)) - uploader = _TaskUploader( + exporter = _EscrowExporter( escrow_address=escrow_address, chain_id=chain_id, manifest=manifest, db_session=db_session ) - uploader.set_logger(logger) - uploader.upload() + exporter.set_logger(logger) + exporter.export() diff --git a/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/__init__.py b/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/audio.py b/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/audio.py new file mode 100644 index 0000000000..b16c51e137 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/audio.py @@ -0,0 +1,75 @@ +from __future__ import annotations + +import csv +import io +import zipfile + +from src.core.tasks.audio_transcription.meta import ( + TaskMetaLayout, + TaskResultsLayout, + format_time, + parse_gt_tsv, + parse_time, +) +from src.core.tasks.audio_transcription.spec import parse_audio_manifest +from src.handlers.completion.task_exporters.base import TaskExporter + +# Column marking each merged row's origin: annotator annotation vs ground truth. +_SOURCE_COLUMN = "source" +_ANNOTATION_SOURCE = "annotation" +_GT_SOURCE = "gt" + + +class AudioTaskExporter(TaskExporter): + def export(self) -> bytes: + tsv = self._build_merged_tsv() + + archive = io.BytesIO() + with zipfile.ZipFile(archive, "w", zipfile.ZIP_DEFLATED) as zf: + zf.writestr(TaskResultsLayout.ANNOTATIONS_FILENAME, tsv) + + return archive.getvalue() + + def _build_merged_tsv(self) -> bytes: + spec = parse_audio_manifest(self.manifest) + attr = spec.details.transcription_attr_name + + annotations = self._download_annotation_result_file( + TaskResultsLayout.ANNOTATIONS_FILENAME + ).decode("utf-8") + reader = csv.DictReader(io.StringIO(annotations), delimiter="\t") + columns = list(reader.fieldnames or []) + if _SOURCE_COLUMN not in columns: + # place it right after "label" when possible, otherwise append + insert_at = columns.index("label") + 1 if "label" in columns else len(columns) + columns.insert(insert_at, _SOURCE_COLUMN) + + ds_rows = list(reader) + for row in ds_rows: + row[_SOURCE_COLUMN] = _ANNOTATION_SOURCE + + gt_regions = parse_gt_tsv(self._download_task_data_file(TaskMetaLayout.GT_FILENAME)) + gt_rows = [ + { + "filename": r.filename, + "start": format_time(r.start), + "stop": format_time(r.stop), + "label": r.label or "", + "input_region_ids": str(r.row_idx), + _SOURCE_COLUMN: _GT_SOURCE, + attr: r.text, + } + for r in gt_regions + ] + + rows = ds_rows + gt_rows + rows.sort(key=lambda r: (r["filename"], parse_time(r["start"]).total_seconds())) + + buffer = io.StringIO() + writer = csv.DictWriter( + buffer, fieldnames=columns, delimiter="\t", extrasaction="ignore" + ) + writer.writeheader() + for global_id, row in enumerate(rows): + writer.writerow({**{c: "" for c in columns}, **row, "id": global_id}) + return buffer.getvalue().encode("utf-8") diff --git a/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/base.py b/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/base.py new file mode 100644 index 0000000000..2643a54e97 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/base.py @@ -0,0 +1,49 @@ +from __future__ import annotations + +from abc import ABCMeta, abstractmethod +from typing import TYPE_CHECKING + +from src.core.config import Config +from src.core.storage import compose_data_bucket_filename, compose_results_bucket_filename +from src.handlers.validation.common import _TaskHandler +from src.services.cloud import make_client as make_cloud_client +from src.services.cloud.utils import BucketAccessInfo + +if TYPE_CHECKING: + from sqlalchemy.orm import Session + + from src.core.manifest import ManifestBase + + +class TaskExporter(_TaskHandler, metaclass=ABCMeta): + """ + Produces the task final annotations file. The Ground Truth annotations should be copied + into the output. + """ + + def __init__( + self, + escrow_address: str, + chain_id: int, + manifest: ManifestBase, + session: Session, + ) -> None: + super().__init__(escrow_address=escrow_address, chain_id=chain_id, manifest=manifest) + self.session = session + + self._eo_bucket = BucketAccessInfo.parse_obj(Config.exchange_oracle_storage_config) + + def _download_annotation_result_file(self, filename: str) -> bytes: + "Download a file from the exchange oracle's escrow results dir." + return make_cloud_client(self._eo_bucket).download_file( + compose_results_bucket_filename(self.escrow_address, self.chain_id, filename) + ) + + def _download_task_data_file(self, filename: str) -> bytes: + "Download a file from the exchange oracle's escrow data dir." + return make_cloud_client(self._eo_bucket).download_file( + compose_data_bucket_filename(self.escrow_address, self.chain_id, filename) + ) + + @abstractmethod + def export(self) -> bytes: ... diff --git a/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/factory.py b/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/factory.py new file mode 100644 index 0000000000..748b1ee3ce --- /dev/null +++ b/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/factory.py @@ -0,0 +1,40 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +from src.core.manifest import get_manifest_task_type +from src.core.tasks import TaskTypes +from src.handlers.completion.task_exporters.audio import AudioTaskExporter +from src.handlers.completion.task_exporters.image import ImageTaskExporter + +if TYPE_CHECKING: + from sqlalchemy.orm import Session + + from src.core.manifest import ManifestBase + from src.handlers.completion.task_exporters.base import TaskExporter + + +def create_exporter( + manifest: ManifestBase, + escrow_address: str, + chain_id: int, + session: Session, +) -> TaskExporter: + task_type = get_manifest_task_type(manifest) + + match task_type: + case TaskTypes.audio_transcription: + exporter_type = AudioTaskExporter + case ( + TaskTypes.image_label_binary + | TaskTypes.image_boxes + | TaskTypes.image_polygons + | TaskTypes.image_points + | TaskTypes.image_boxes_from_points + | TaskTypes.image_skeletons_from_boxes + ): + exporter_type = ImageTaskExporter + case _: + raise NotImplementedError(f"Unsupported task type '{task_type}'") + + return exporter_type(escrow_address, chain_id, manifest, session) diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/final_results.py b/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/image.py similarity index 67% rename from packages/examples/cvat/recording-oracle/src/handlers/validation/final_results.py rename to packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/image.py index 0f6a303579..43e5a06463 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/validation/final_results.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/image.py @@ -7,28 +7,32 @@ from typing import TYPE_CHECKING import datumaro as dm -import numpy as np -import src.services.validation as db_service +from src.core.annotation_meta import RESULTING_ANNOTATIONS_FILE from src.core.manifest import get_manifest_task_type from src.core.tasks import TaskTypes from src.core.tasks.cvat_formats import DM_DATASET_FORMAT_MAPPING, DM_GT_DATASET_FORMAT_MAPPING -from src.core.validation_meta import JobMeta, ResultMeta, ValidationMeta -from src.core.validation_results import FinalResult -from src.db.utils import ForUpdateParams -from src.handlers.validation.common import UNKNOWN_QUALITY, _JobResults, _TaskHandler +from src.handlers.completion.task_exporters.base import TaskExporter +from src.handlers.validation.common import _TaskHandler from src.services.cloud import make_client as make_cloud_client from src.services.cloud.utils import BucketAccessInfo from src.utils.annotations import ProjectLabels from src.utils.zip_archive import extract_zip_archive, write_dir_to_zip_archive if TYPE_CHECKING: - import logging + from src.core.manifest import ManifestBase - from sqlalchemy.orm import Session - from src.core.annotation_meta import AnnotationMeta - from src.core.manifest import ManifestBase +class ImageTaskExporter(TaskExporter): + def export(self) -> bytes: + merged = self._download_annotation_result_file(RESULTING_ANNOTATIONS_FILE) + merger = _TaskAnnotationMerger( + escrow_address=self.escrow_address, + chain_id=self.chain_id, + manifest=self.manifest, + merged_annotations=io.BytesIO(merged), + ) + return merger.merge_results().read() class _TaskAnnotationMerger(_TaskHandler): @@ -184,99 +188,3 @@ def merge_results(self) -> io.IOBase: self._prepare_merged_dataset() return self._require_field(self._updated_merged_dataset_archive) - - -def process_final_results( - session: Session, - *, - escrow_address: str, - chain_id: int, - meta: AnnotationMeta, - merged_annotations: io.RawIOBase, - manifest: ManifestBase, - logger: logging.Logger, -) -> FinalResult: - assert logger # unused - - task = db_service.get_task_by_escrow_address( - session, - escrow_address, - for_update=ForUpdateParams( - nowait=True - ), # should not happen, but waiting should not block processing - ) - if not task: - raise AssertionError(f"Validation results for escrow {escrow_address} not found") - - merger = _TaskAnnotationMerger( - escrow_address=escrow_address, - chain_id=chain_id, - manifest=manifest, - merged_annotations=merged_annotations, - ) - - merged_annotations = merger.merge_results() - - job_final_result_ids: dict[str, str] = {} - - for job_meta in meta.jobs: - job = db_service.get_job_by_cvat_id(session, job_meta.job_id) - if not job: - raise AssertionError( - f"Can't find validation results for job " f"{job_meta.job_id} ({escrow_address=})" - ) - - assignment_validation_result = db_service.get_validation_result_by_assignment_id( - session, job_meta.assignment_id - ) - if not assignment_validation_result: - raise AssertionError( - f"Can't find validation results for assignments " - f"{job_meta.assignment_id} ({escrow_address=})" - ) - - job_final_result_ids[job.id] = assignment_validation_result.id - - task_jobs = task.jobs - - task_validation_results = db_service.get_task_validation_results(session, task.id) - - job_id_to_meta_id = {job.id: i for i, job in enumerate(task_jobs)} - - validation_result_id_to_meta_id = {r.id: i for i, r in enumerate(task_validation_results)} - - validation_meta = ValidationMeta( - jobs=[ - JobMeta( - job_id=job_id_to_meta_id[job.id], - final_result_id=validation_result_id_to_meta_id[job_final_result_ids[job.id]], - ) - for job in task_jobs - ], - results=[ - ResultMeta( - id=validation_result_id_to_meta_id[r.id], - job_id=job_id_to_meta_id[r.job.id], - annotator_wallet_address=r.annotator_wallet_address, - annotation_quality=r.annotation_quality, - ) - for r in task_validation_results - ], - ) - - # Include final results for all jobs - job_results: _JobResults = { - job.cvat_id: task_validation_results[ - validation_result_id_to_meta_id[job_final_result_ids[job.id]] - ].annotation_quality - for job in task_jobs - } - - return FinalResult( - job_results=job_results, - validation_meta=validation_meta, - resulting_annotations=merged_annotations.read(), - average_quality=np.mean( - [v for v in job_results.values() if v != UNKNOWN_QUALITY and v >= 0] or [0] - ), - ) diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/__init__.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/__init__.py index 03e1f4040e..54ba1eb45e 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/validation/__init__.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/__init__.py @@ -1,11 +1,9 @@ -from src.handlers.validation.final_results import process_final_results from src.handlers.validation.handlers import validate_results from src.handlers.validation.intermediate_results import process_intermediate_results from src.handlers.validation.meta import parse_annotation_metafile, serialize_validation_meta __all__ = [ "parse_annotation_metafile", - "process_final_results", "process_intermediate_results", "serialize_validation_meta", "validate_results", diff --git a/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py b/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py index 13453cc81b..6531a526f1 100644 --- a/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py +++ b/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py @@ -24,8 +24,8 @@ from src.core.validation_results import ValidationFailure, ValidationSuccess from src.cvat import api_calls as cvat_api from src.db import SessionLocal +from src.handlers.completion.final_results import process_final_results from src.handlers.validation import ( - process_final_results, process_intermediate_results, ) from src.services.validation import ( @@ -129,7 +129,7 @@ def test_can_handle_lowered_quality_requirements_in_manifest(self, session: Sess logger = mock.Mock(Logger) common_lock_es.enter_context( - mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj") + mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj") ) common_lock_es.enter_context( @@ -137,7 +137,7 @@ def test_can_handle_lowered_quality_requirements_in_manifest(self, session: Sess ) mock_make_cloud_client = common_lock_es.enter_context( - mock.patch("src.handlers.validation.final_results.make_cloud_client") + mock.patch("src.handlers.completion.task_exporters.image.make_cloud_client") ) mock_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") @@ -333,11 +333,11 @@ def test_can_change_bad_honeypots_in_jobs(self, session: Session, seed: int): logger = mock.Mock(Logger) common_lock_es.enter_context( - mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj") + mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj") ) mock_make_cloud_client = common_lock_es.enter_context( - mock.patch("src.handlers.validation.final_results.make_cloud_client") + mock.patch("src.handlers.completion.task_exporters.image.make_cloud_client") ) mock_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") @@ -568,11 +568,11 @@ def test_can_stop_on_slow_annotation_after_warmup_iterations(self, session: Sess logger = mock.Mock(Logger) common_lock_es.enter_context( - mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj") + mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj") ) mock_make_cloud_client = common_lock_es.enter_context( - mock.patch("src.handlers.validation.final_results.make_cloud_client") + mock.patch("src.handlers.completion.task_exporters.image.make_cloud_client") ) mock_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") @@ -685,11 +685,11 @@ def test_can_exclude_bad_gt_for_each_label_separately(self, session: Session): logger = mock.Mock(Logger) common_lock_es.enter_context( - mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj") + mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj") ) mock_make_cloud_client = common_lock_es.enter_context( - mock.patch("src.handlers.validation.final_results.make_cloud_client") + mock.patch("src.handlers.completion.task_exporters.image.make_cloud_client") ) mock_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") @@ -866,11 +866,11 @@ def test_can_complete_if_not_enough_gt_left_in_task_with_several_jobs( logger = logging.getLogger() common_lock_es.enter_context( - mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj") + mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj") ) mock_make_cloud_client = common_lock_es.enter_context( - mock.patch("src.handlers.validation.final_results.make_cloud_client") + mock.patch("src.handlers.completion.task_exporters.image.make_cloud_client") ) mock_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") @@ -1020,11 +1020,11 @@ def test_can_complete_if_not_enough_gt_left_in_task_with_one_job( logger = logging.getLogger() common_lock_es.enter_context( - mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj") + mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj") ) mock_make_cloud_client = common_lock_es.enter_context( - mock.patch("src.handlers.validation.final_results.make_cloud_client") + mock.patch("src.handlers.completion.task_exporters.image.make_cloud_client") ) mock_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") @@ -1174,15 +1174,18 @@ def patched_prepare_merged_dataset(self): self._updated_merged_dataset_archive = io.BytesIO(b"test") with ( - mock.patch("src.handlers.validation.final_results.BucketAccessInfo.parse_obj"), + # base downloads the exchange-oracle result file; the merger (image) downloads GT + mock.patch("src.handlers.completion.task_exporters.base.BucketAccessInfo.parse_obj"), + mock.patch("src.handlers.completion.task_exporters.base.make_cloud_client"), + mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj"), mock.patch( - "src.handlers.validation.final_results.make_cloud_client" + "src.handlers.completion.task_exporters.image.make_cloud_client" ) as mock_make_cloud_client, - mock.patch("src.handlers.validation.final_results.dm.Dataset.import_from"), - mock.patch("src.handlers.validation.final_results.extract_zip_archive"), - mock.patch("src.handlers.validation.final_results.write_dir_to_zip_archive"), + mock.patch("src.handlers.completion.task_exporters.image.dm.Dataset.import_from"), + mock.patch("src.handlers.completion.task_exporters.image.extract_zip_archive"), + mock.patch("src.handlers.completion.task_exporters.image.write_dir_to_zip_archive"), mock.patch( - "src.handlers.validation.final_results._TaskAnnotationMerger._prepare_merged_dataset", + "src.handlers.completion.task_exporters.image._TaskAnnotationMerger._prepare_merged_dataset", patched_prepare_merged_dataset, ), ): @@ -1215,7 +1218,6 @@ def patched_prepare_merged_dataset(self): chain_id=chain_id, meta=annotation_meta, manifest=manifest, - merged_annotations=io.BytesIO(), logger=mock.Mock(Logger), ) From a9f352f73b1a56d15cc32ecf88bb7c35d9022b31 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Thu, 9 Jul 2026 13:50:05 +0300 Subject: [PATCH 30/53] Add gt min span requirement, fix assignment composition, migrate to timedelta in the impl --- .../exchange-oracle/src/core/manifest/v2.py | 7 + .../core/tasks/audio_transcription/meta.py | 56 ++-- .../core/tasks/audio_transcription/spec.py | 11 + .../builders/audio/transcription.py | 241 ++++++++++++------ .../handlers/job_export/exporters/audio.py | 14 +- .../cvat/exchange-oracle/src/utils/audio.py | 16 +- 6 files changed, 225 insertions(+), 120 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py index 76ac94fade..80e277e76d 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py @@ -78,6 +78,13 @@ class AudioJobDetails(DetailsInfoBase): max_segment_duration: int | None = None "Maximum audio segment duration, seconds" + min_gt_span_duration: int | None = None + """ + Minimum duration of densely-annotated GT regions, in seconds. + Each is expected to contain 1 or more annotated intervals inside. + A span is identified by the span_id field. + """ + min_composition: MinComposition | None = None "Minimal composition of a job" diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py index 8c39abd5d2..e89f27ab98 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py @@ -76,9 +76,10 @@ class InputGtRegion: filename: str start: timedelta stop: timedelta - label: str | None = None - text: str = "" + label: str + text: str row_idx: int + span_id: str @property def id(self) -> str: @@ -86,7 +87,6 @@ def id(self) -> str: def parse_gt_tsv(data: bytes) -> list[InputGtRegion]: - "Parse a GT transcription TSV (columns: filename, start, stop, label, text) into regions." reader = csv.DictReader(io.StringIO(data.decode("utf-8")), delimiter="\t") return [ InputGtRegion( @@ -94,8 +94,9 @@ def parse_gt_tsv(data: bytes) -> list[InputGtRegion]: row_idx=row_idx, start=parse_time(row["start"]), stop=parse_time(row["stop"]), - label=(row.get("label") or "").strip() or None, - text=(row.get("text") or "").strip(), + label=row["label"].strip(), + text=row["text"].strip(), + span_id=row["span_id"].strip(), ) for row_idx, row in enumerate(reader) ] @@ -127,17 +128,17 @@ class PlacedRegion: index: int # 0-based position within the assignment clip source_filename: str - file_start: float - file_stop: float + source_start: float + source_stop: float clip_start: float clip_stop: float - kind: RegionKind = RegionKind.ds + kind: RegionKind input_ids: list[str] = Factory(list) # ids of the input ROIs this bundle was built from @frozen(kw_only=True) -class Assignment: - """One CVAT task: a single concatenated clip built from ``placed`` regions.""" +class Clip: + """A single concatenated audio clip built from ``placed`` regions (one per CVAT task).""" id: str clip_filename: str @@ -169,8 +170,8 @@ def _placed_to_dict(r: PlacedRegion) -> dict: return { "index": r.index, "source_filename": r.source_filename, - "file_start": r.file_start, - "file_stop": r.file_stop, + "source_start": r.source_start, + "source_stop": r.source_stop, "clip_start": r.clip_start, "clip_stop": r.clip_stop, "kind": r.kind.value, @@ -182,8 +183,8 @@ def _placed_from_dict(d: dict) -> PlacedRegion: return PlacedRegion( index=d["index"], source_filename=d["source_filename"], - file_start=d["file_start"], - file_stop=d["file_stop"], + source_start=d["source_start"], + source_stop=d["source_stop"], clip_start=d["clip_start"], clip_stop=d["clip_stop"], kind=RegionKind(d["kind"]), @@ -196,7 +197,8 @@ class TaskMetaLayout: GT_FILENAME = "gt.tsv" REGIONS_TSV_FILENAME = "regions.tsv" REGIONS_FILENAME = "regions.json" - ASSIGNMENTS_FILENAME = "assignments.json" + CLIPS_FILENAME = "assignments.json" + TASK_CLIPS_FILENAME = "task_clips.json" DS_CUTS_DIR = "ds_cuts" GT_CUTS_DIR = "gt_cuts" @@ -205,7 +207,7 @@ class TaskResultsLayout: "Layout of the escrow results dir on the oracle bucket." ASSIGNMENTS_DIR = "assignments" # per-assignment annotation TSVs (one per CVAT job) - ANNOTATIONS_FILENAME = "annotations.tsv" # merged final annotations (DS rows + GT) + ANNOTATIONS_FILENAME = "annotations.tsv" # merged annotations (without honeypots or GT) @classmethod def assignment_annotation_filename(cls, job_id: int, assignment_id: str) -> str: @@ -220,22 +222,22 @@ def serialize_regions(self, regions: list[PresentedRegion]) -> bytes: def parse_regions(self, data: bytes) -> list[PresentedRegion]: return [_region_from_dict(d) for d in parse_json(data)] - def serialize_assignments(self, assignments: list[Assignment]) -> bytes: + def serialize_clips(self, clips: list[Clip]) -> bytes: return dump_json( [ { - "id": a.id, - "clip_filename": a.clip_filename, - "clip_dur": a.clip_duration, - "placed": [_placed_to_dict(p) for p in a.placed], + "id": clip.id, + "clip_filename": clip.clip_filename, + "clip_dur": clip.clip_duration, + "placed": [_placed_to_dict(p) for p in clip.placed], } - for a in assignments + for clip in clips ] ) - def parse_assignments(self, data: bytes) -> list[Assignment]: + def parse_clips(self, data: bytes) -> list[Clip]: return [ - Assignment( + Clip( id=d["id"], clip_filename=d["clip_filename"], clip_duration=d["clip_dur"], @@ -243,3 +245,9 @@ def parse_assignments(self, data: bytes) -> list[Assignment]: ) for d in parse_json(data) ] + + def serialize_task_clips(self, task_clips: dict[int, str]) -> bytes: + return dump_json({str(task_id): clip_id for task_id, clip_id in task_clips.items()}) + + def parse_task_clips(self, data: bytes) -> dict[int, str]: + return {int(task_id): clip_id for task_id, clip_id in parse_json(data).items()} diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py index c5d33d4770..b35d9a3416 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py @@ -59,6 +59,13 @@ class TranscriptionDetails(BaseModel): min_composition: tuple[int, int] = (2, 2) "(gt, ds): minimum number of honeypot and DS regions per assignment" + min_gt_span_duration: timedelta = timedelta(seconds=30) + """ + Minimum duration of densely-annotated GT regions, in seconds. + Each is expected to contain 1 or more annotated intervals inside. + A span is identified by the span_id field. + """ + roi_min_duration: timedelta = timedelta(seconds=5) "Minimum presented region duration. Smaller segments are bundled together" @@ -125,6 +132,10 @@ def parse_audio_manifest(manifest: JobManifest) -> TranscriptionTaskSpecificatio details_fields["roi_max_duration"] = timedelta( seconds=manifest_details.max_segment_duration ) + if manifest_details.min_gt_span_duration is not None: + details_fields["min_gt_span_duration"] = timedelta( + seconds=manifest_details.min_gt_span_duration + ) if manifest_details.validation_overhead is not None: details_fields["validation_overhead"] = manifest_details.validation_overhead / 100.0 if manifest_details.min_composition is not None: diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py index 3e3a74e607..03cb103230 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py @@ -2,13 +2,15 @@ import csv import io -import random import uuid from collections import Counter +from datetime import timedelta from math import ceil from pathlib import Path, PurePosixPath from tempfile import TemporaryDirectory -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, TypeVar + +import numpy as np import src.cvat.api_calls as cvat_api import src.services.cvat as db_service @@ -16,7 +18,7 @@ from src.core.storage import compose_data_bucket_filename from src.core.tasks import TaskTypes from src.core.tasks.audio_transcription.meta import ( - Assignment, + Clip, InputGtRegion, InputRegion, PlacedRegion, @@ -47,41 +49,54 @@ from src.utils.logging import format_sequence if TYPE_CHECKING: + from collections.abc import Callable + from src.core.manifest import ManifestBase # --------------------------------------------------------------------------- # -# Assignment construction +# Clip construction # --------------------------------------------------------------------------- # +_RegionT = TypeVar("_RegionT", bound=InputRegion | InputGtRegion) + + def _bundle_regions( - regions: list[InputRegion], *, min_duration: float, max_duration: float -) -> list[tuple[float, float, list[InputRegion]]]: + regions: list[_RegionT], + *, + min_duration: timedelta, + max_duration: timedelta, + can_bundle: Callable[[_RegionT, _RegionT], bool] = lambda _a, _b: True +) -> list[tuple[timedelta, timedelta, list[_RegionT]]]: """ Bundle consecutive input regions (sorted by start) into groups >= min_duration; - a region already >= min_duration stays alone. Returns (start_s, stop_s, members) per bundle. + a region already >= min_duration stays alone. Returns (start, stop, members) per bundle. A bundle's span (first ROI start .. last ROI stop) includes the gaps between its members, so two limits keep bundles from ballooning over sparse input: - max_duration caps the presented span (a longer bundle would fail input validation anyway); - the join gap is capped at min_duration, so we never bridge a long silence between ROIs. + + A custom ``can_bundle`` callback can be passed to specify additional constraints on the ROIs + that can be joined. """ - def span(group: list[InputRegion]) -> float: - return group[-1].stop.total_seconds() - group[0].start.total_seconds() + def can_append_region(bundle: list[_RegionT], region: _RegionT) -> bool: + if not can_bundle(bundle[-1], region): + return False - def joinable(group: list[InputRegion], region: InputRegion) -> bool: - gap = region.start.total_seconds() - group[-1].stop.total_seconds() - reach = region.stop.total_seconds() - group[0].start.total_seconds() - return span(group) < min_duration and gap <= min_duration and reach <= max_duration + gap = region.start - bundle[-1].stop + reach = region.stop - bundle[0].start + span = _get_span_duration(bundle) + return span < min_duration and gap <= min_duration and reach <= max_duration - out: list[list[InputRegion]] = [] - bundle: list[InputRegion] | None = None + out: list[list[_RegionT]] = [] + bundle: list[_RegionT] | None = None for region in regions: if bundle is None: bundle = [region] - elif joinable(bundle, region): + elif can_append_region(bundle, region): bundle.append(region) else: out.append(bundle) @@ -90,7 +105,7 @@ def joinable(group: list[InputRegion], region: InputRegion) -> bool: if bundle is not None: # trailing bundle may stay shorter than min_duration out.append(bundle) - return [(g[0].start.total_seconds(), g[-1].stop.total_seconds(), g) for g in out] + return [(g[0].start, g[-1].stop, g) for g in out] def select_honeypots( @@ -98,11 +113,13 @@ def select_honeypots( *, source_filename: str, val_fraction: float, - min_duration: float, - max_duration: float, + min_duration: timedelta, + max_duration: timedelta, random_seed: int = 0, ) -> list[PresentedRegion]: """ + Pick GT regions for the honeypot pool. + Bundle GT cues into >= min_duration groups, then pick ~val_fraction of the bundles (by count) as honeypots. A bundle spans its first cue start to its last cue stop (including inter-cue gaps); we never pad into unannotated media, so a bundle may stay shorter than min_duration when @@ -110,9 +127,17 @@ def select_honeypots( """ regions = sorted(regions, key=lambda r: r.start) - bundles = _bundle_regions(regions, min_duration=min_duration, max_duration=max_duration) + bundles = _bundle_regions( + regions, + min_duration=min_duration, + max_duration=max_duration, + can_bundle=( + # we can only bundle regions if they belong to the same span + lambda a, b: a.span_id == b.span_id + ) + ) - rng = random.Random(random_seed) # noqa: S311 # not cryptographic + rng = np.random.Generator(np.random.MT19937(random_seed)) # pin the rng used for stable results idxs = list(range(len(bundles))) rng.shuffle(idxs) n_select = ceil(val_fraction * len(bundles)) @@ -124,8 +149,8 @@ def select_honeypots( honeypots.append( PresentedRegion( source_filename=source_filename, - start=s, - stop=e, + start=s.total_seconds(), + stop=e.total_seconds(), kind=RegionKind.gt, input_ids=[m.id for m in members], ) @@ -137,61 +162,70 @@ def plan_assignments( ds_regions: list[PresentedRegion], honeypots: list[PresentedRegion], *, - composition: tuple[int, int], + min_composition: tuple[int, int], validation_overhead: float, - max_audio_duration: float, + max_audio_duration: timedelta, random_seed: int = 0, ) -> list[list[PresentedRegion]]: """ Mix DS and honeypots into assignments. Returns ordered region lists. """ - # 1. shuffle DS - rng = random.Random(random_seed) # noqa: S311 # not cryptographic - ds_order = list(range(len(ds_regions))) - rng.shuffle(ds_order) + # 1. shuffle inputs + rng = np.random.Generator(np.random.MT19937(random_seed)) # pin the rng used for stable results + + def sort_key(r: PresentedRegion) -> tuple: + return (r.source_filename, r.start) + + ds_regions = sorted(ds_regions, key=sort_key) + rng.shuffle(ds_regions) + + honeypots = sorted(honeypots, key=sort_key) + rng.shuffle(honeypots) # 2. Reservoir-pack each assignment up to the DS budget (>= K_min), inject least-used honeypots # up to the validation overhead (>= H_min), then shuffle region order. Deterministic. - ds_budget = max_audio_duration * (1.0 - validation_overhead) - hp_target = validation_overhead * max_audio_duration - h_min, k_min = composition + ds_budget = max_audio_duration.total_seconds() * (1.0 - validation_overhead) + hp_target = validation_overhead * max_audio_duration.total_seconds() + h_min, k_min = min_composition hp_use: Counter = Counter() assignments: list[list[PresentedRegion]] = [] - di = 0 - while di < len(ds_order): - chosen: list[PresentedRegion] = [] - ds_dur = 0.0 - while di < len(ds_order): - r = ds_regions[ds_order[di]] - d = r.duration - if len(chosen) >= k_min and ds_dur + d > ds_budget: + + ds_idx = 0 + while ds_idx < len(ds_regions): + pick: list[PresentedRegion] = [] + pick_duration = 0.0 + while ds_idx < len(ds_regions): + ds_region = ds_regions[ds_idx] + if len(pick) >= k_min and pick_duration + ds_region.duration > ds_budget: break - chosen.append(r) - ds_dur += d - di += 1 - if len(chosen) < k_min: - break # DS stream exhausted - can't form a full assignment - hp_dur = 0.0 + pick.append(ds_region) + pick_duration += ds_region.duration + ds_idx += 1 + + if not pick: + break # DS stream exhausted - nothing left to place + # least-used honeypots first, randomized within each use-count tier + hp_duration = 0.0 hp_ranked = sorted(range(len(honeypots)), key=lambda i: (hp_use[i], rng.random())) for n_hp, i in enumerate(hp_ranked): - if (hp_dur >= hp_target and n_hp >= h_min) or n_hp >= len(honeypots): + if (hp_duration >= hp_target and n_hp >= h_min) or n_hp >= len(honeypots): break - chosen.append(honeypots[i]) - hp_dur += honeypots[i].duration + pick.append(honeypots[i]) + hp_duration += honeypots[i].duration hp_use[i] += 1 - rng.shuffle(chosen) - assignments.append(chosen) + rng.shuffle(pick) + assignments.append(pick) return assignments def place_regions( - regions: list[PresentedRegion], *, pause_s: float + regions: list[PresentedRegion], *, pause: timedelta ) -> tuple[list[PlacedRegion], float]: """Clip-time placement of concatenated regions (region durations + inter-region pauses).""" placed: list[PlacedRegion] = [] @@ -203,8 +237,8 @@ def place_regions( PlacedRegion( index=i, source_filename=region.source_filename, - file_start=region.start, - file_stop=region.stop, + source_start=region.start, + source_stop=region.stop, clip_start=t, clip_stop=t + dur, kind=region.kind, @@ -213,7 +247,7 @@ def place_regions( ) t += dur if i < n - 1: - t += pause_s + t += pause.total_seconds() return placed, t @@ -240,7 +274,7 @@ def __init__(self, manifest: ManifestBase, escrow_address: str, chain_id: int) - self._gt_tsv_data: MaybeUnset[bytes] = unset # raw input GT TSV self._ds_regions: MaybeUnset[list[PresentedRegion]] = unset self._honeypots: MaybeUnset[list[PresentedRegion]] = unset - self._assignments: MaybeUnset[list[Assignment]] = unset + self._assignments: MaybeUnset[list[Clip]] = unset self._excluded_gt_info: MaybeUnset[ExcludedAnnotationsInfo] = unset self._meta_serializer = TaskMetaSerializer() @@ -298,10 +332,11 @@ def _build_gt_regions(self) -> None: file_duration = probe_duration(self._media_paths[filename]) valid_regions = _validate_gt_regions( self._gt_by_file[filename], - filename, - file_duration, - self.spec.details.roi_max_duration.total_seconds(), - excluded_gt, + filename=filename, + file_duration=file_duration, + max_duration=self.spec.details.roi_max_duration, + min_span_duration=self.spec.details.min_gt_span_duration, + excluded=excluded_gt, ) if not valid_regions: continue @@ -310,9 +345,9 @@ def _build_gt_regions(self) -> None: select_honeypots( valid_regions, source_filename=filename, - val_fraction=1.0, # use all GT as honeypots (rotation is a future feature) - min_duration=self.spec.details.roi_min_duration.total_seconds(), - max_duration=self.spec.details.roi_max_duration.total_seconds(), + val_fraction=1.0, # use all spans, honeypot rotation is a future feature + min_duration=self.spec.details.roi_min_duration, + max_duration=self.spec.details.roi_max_duration, random_seed=self.spec.details.random_seed, ) ) @@ -370,15 +405,15 @@ def _build_ds_regions(self) -> None: ) bundled = _bundle_regions( rows, - min_duration=self.spec.details.roi_min_duration.total_seconds(), - max_duration=self.spec.details.roi_max_duration.total_seconds(), + min_duration=self.spec.details.roi_min_duration, + max_duration=self.spec.details.roi_max_duration, ) for start, stop, members in bundled: ds_regions.append( PresentedRegion( source_filename=filename, - start=start, - stop=stop, + start=start.total_seconds(), + stop=stop.total_seconds(), kind=RegionKind.ds, input_ids=[m.id for m in members], ) @@ -403,9 +438,9 @@ def _prepare_assignments(self) -> None: region_lists = plan_assignments( self._ds_regions, self._honeypots, - composition=self.spec.details.min_composition, + min_composition=self.spec.details.min_composition, validation_overhead=self.spec.details.validation_overhead, - max_audio_duration=self.spec.details.standard_assignment_duration.total_seconds(), + max_audio_duration=self.spec.details.standard_assignment_duration, random_seed=self.spec.details.random_seed, ) if not region_lists: @@ -415,23 +450,27 @@ def _prepare_assignments(self) -> None: pause = self.spec.details.roi_join_pause pause_ms = round(pause.total_seconds() * 1000) - assignments: list[Assignment] = [] + assignments: list[Clip] = [] for regions in region_lists: assignment_id = uuid.uuid4().hex clip_filename = f"{assignment_id}.wav" clip_path = self._media_dir / clip_filename cuts = [ - RegionCut(media=self._media_paths[r.source_filename], start=r.start, stop=r.stop) + RegionCut( + media=self._media_paths[r.source_filename], + start=timedelta(seconds=r.start), + stop=timedelta(seconds=r.stop), + ) for r in regions ] cut_and_concat( cuts, clip_path, pause_ms=pause_ms, sample_rate=self.spec.details.sample_rate ) - placed, clip_duration = place_regions(regions, pause_s=pause.total_seconds()) + placed, clip_duration = place_regions(regions, pause=pause) assignments.append( - Assignment( + Clip( id=assignment_id, clip_filename=clip_filename, clip_duration=clip_duration, @@ -487,9 +526,9 @@ def _upload_clips_and_meta(self) -> None: ) storage_client.create_file( compose_data_bucket_filename( - self.escrow_address, self.chain_id, self._meta_layout.ASSIGNMENTS_FILENAME + self.escrow_address, self.chain_id, self._meta_layout.CLIPS_FILENAME ), - self._meta_serializer.serialize_assignments(self._assignments), + self._meta_serializer.serialize_clips(self._assignments), ) if Config.debug: @@ -514,8 +553,8 @@ def _upload_roi_cuts(self, storage_client) -> None: [ RegionCut( media=self._media_paths[region.source_filename], - start=region.start, - stop=region.stop, + start=timedelta(seconds=region.start), + stop=timedelta(seconds=region.stop), ) ], cut_path, @@ -576,6 +615,7 @@ def _create_on_cvat(self) -> None: ) db_service.get_project_by_id(session, project_id, for_update=True) # lock the row + task_clips: dict[int, str] = {} # CVAT task id -> clip id for assignment in self._assignments: clip_key = compose_data_bucket_filename( escrow_address, @@ -591,8 +631,20 @@ def _create_on_cvat(self) -> None: cvat_api.put_task_data(cvat_task.id, cloud_storage.id, filenames=[clip_key]) db_service.create_data_upload(session, cvat_task.id) + task_clips[cvat_task.id] = assignment.id + db_service.touch(session, Project, [project_id]) + # Persist the CVAT task -> clip mapping so the recording oracle can join each annotated job + # (keyed by its CVAT task id) back to its clip metadata for scoring. + storage_client = self._make_cloud_storage_client(self._oracle_data_bucket) + storage_client.create_file( + compose_data_bucket_filename( + escrow_address, chain_id, self._meta_layout.TASK_CLIPS_FILENAME + ), + self._meta_serializer.serialize_task_clips(task_clips), + ) + # -- orchestration ----------------------------------------------------- # def build(self) -> None: @@ -644,9 +696,11 @@ def _parse_gt_tsv(data: bytes) -> dict[str, list[InputGtRegion]]: def _validate_gt_regions( regions: list[InputGtRegion], + *, filename: str, - file_duration: float, - max_duration: float, + file_duration: timedelta, + max_duration: timedelta, + min_span_duration: timedelta, excluded: ExcludedAnnotationsInfo, ) -> list[InputGtRegion]: valid: list[InputGtRegion] = [] @@ -656,7 +710,7 @@ def _validate_gt_regions( excluded.total_count += 1 - if not (0 <= start < stop <= file_duration + 1e-6): + if not (0 <= start < stop <= file_duration.total_seconds() + 1e-6): excluded.excluded_count += 1 excluded.add_message( f"GT region '{region.row_idx}' ({region.label}) [{start:.3f}, {stop:.3f}] " @@ -666,11 +720,11 @@ def _validate_gt_regions( ) continue - if stop - start > max_duration: + if stop - start > max_duration.total_seconds(): excluded.excluded_count += 1 excluded.add_message( f"GT region '{region.row_idx}' ({region.label}) [{start:.3f}, {stop:.3f}] " - f"- longer than the maximum region duration ({max_duration:.3f}s)", + f"- longer than the maximum region duration ({max_duration.total_seconds():.3f}s)", sample_id=filename, sample_subset="", ) @@ -678,6 +732,26 @@ def _validate_gt_regions( valid.append(region) + by_span: dict[str, list[InputGtRegion]] = {} + for region in valid: + by_span.setdefault(region.span_id, []).append(region) + + valid.clear() + for span_id, span_members in by_span.items(): + span_duration = _get_span_duration(span_members) + + if span_duration > min_span_duration: + excluded.excluded_count += len(span_members) + excluded.add_message( + f"GT span '{span_id}' ({span_duration:.3f}s) - shorter " + f"than the minimum span duration ({min_span_duration.total_seconds():.3f}s)", + sample_id=filename, + sample_subset="", + ) + continue + + valid.extend(span_members) + return valid @@ -724,3 +798,6 @@ def _shared_attr_spec(attr) -> dict: } ) return label_config + +def _get_span_duration(group: list[InputRegion | InputGtRegion]) -> timedelta: + return group[-1].stop - group[0].start diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py index 5d45da510d..3fa578f445 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py @@ -28,7 +28,7 @@ from src.services.cloud.utils import BucketAccessInfo if TYPE_CHECKING: - from src.core.tasks.audio_transcription.meta import Assignment, PlacedRegion + from src.core.tasks.audio_transcription.meta import Clip, PlacedRegion _LEADING_COLUMNS = ["id", "input_region_ids", "filename", "start", "stop", "label"] @@ -79,12 +79,12 @@ def export(self) -> None: self._emit_escrow_recorded() self.logger.info(f"The escrow ({self.escrow_address=}) is completed, annotations merged") - def _load_assignments(self) -> dict[str, Assignment]: + def _load_assignments(self) -> dict[str, Clip]: storage_client = make_cloud_client(BucketAccessInfo.parse_obj(Config.storage_config)) - assignments = TaskMetaSerializer().parse_assignments( + assignments = TaskMetaSerializer().parse_clips( storage_client.download_file( compose_data_bucket_filename( - self.escrow_address, self.chain_id, TaskMetaLayout().ASSIGNMENTS_FILENAME + self.escrow_address, self.chain_id, TaskMetaLayout().CLIPS_FILENAME ) ) ) @@ -93,7 +93,7 @@ def _load_assignments(self) -> dict[str, Assignment]: def _annotation_rows( self, annotations: FileDescriptor, - assignments_by_clip: dict[str, Assignment], + assignments_by_clip: dict[str, Clip], attr_names: list[str], ) -> list[dict]: annotations.file.seek(0) @@ -115,7 +115,7 @@ def _annotation_rows( # outside any region, or a honeypot -> dropped continue - offset = placed.file_start - placed.clip_start + offset = placed.source_start - placed.clip_start rows.append( { "filename": placed.source_filename, @@ -130,7 +130,7 @@ def _annotation_rows( return rows @staticmethod - def _placed_at(assignment: Assignment, clip_time_s: float) -> PlacedRegion | None: + def _placed_at(assignment: Clip, clip_time_s: float) -> PlacedRegion | None: return next( ( p diff --git a/packages/examples/cvat/exchange-oracle/src/utils/audio.py b/packages/examples/cvat/exchange-oracle/src/utils/audio.py index e627269f26..68ba456246 100644 --- a/packages/examples/cvat/exchange-oracle/src/utils/audio.py +++ b/packages/examples/cvat/exchange-oracle/src/utils/audio.py @@ -8,6 +8,7 @@ import subprocess from dataclasses import dataclass +from datetime import timedelta from typing import TYPE_CHECKING if TYPE_CHECKING: @@ -20,18 +21,18 @@ class FfmpegError(RuntimeError): @dataclass(frozen=True) class RegionCut: - """A slice [start, stop) (seconds) to take from a source media file.""" + """A slice [start, stop) to take from a source media file.""" media: Path - start: float - stop: float + start: timedelta + stop: timedelta @property - def duration(self) -> float: + def duration(self) -> timedelta: return self.stop - self.start -def probe_duration(path: Path) -> float: +def probe_duration(path: Path) -> timedelta: """Return media duration in seconds""" cmd = [ @@ -48,7 +49,7 @@ def probe_duration(path: Path) -> float: if result.returncode != 0: raise FfmpegError(f"ffprobe failed for {path}:\n{result.stderr[-800:]}") - return float(result.stdout.strip()) + return timedelta(seconds=float(result.stdout.strip())) def cut_and_concat( @@ -86,7 +87,8 @@ def cut_and_concat( for i, region in enumerate(regions): inp = idx_of[str(region.media)] filter_parts.append( - f"[{inp}:a]atrim={region.start:.3f}:{region.stop:.3f},asetpts=PTS-STARTPTS," + f"[{inp}:a]atrim={region.start.total_seconds():.3f}:{region.stop.total_seconds():.3f}," + "asetpts=PTS-STARTPTS," f"aresample={sample_rate},aformat=channel_layouts=mono[s{i}]" ) segment_labels.append(f"[s{i}]") From 5269b6f74583b4aff3ecb1d520cd7588c76680d5 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Thu, 9 Jul 2026 13:51:16 +0300 Subject: [PATCH 31/53] Use assignment timeouts from manifest --- .../exchange-oracle/src/services/exchange.py | 22 +++---------------- .../exchange-oracle/src/utils/assignments.py | 21 +++++++++++++++++- 2 files changed, 23 insertions(+), 20 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/src/services/exchange.py b/packages/examples/cvat/exchange-oracle/src/services/exchange.py index 70d57a1320..3ece001f65 100644 --- a/packages/examples/cvat/exchange-oracle/src/services/exchange.py +++ b/packages/examples/cvat/exchange-oracle/src/services/exchange.py @@ -5,12 +5,11 @@ import src.services.cvat as cvat_service from src.chain.escrow import get_escrow_manifest from src.core.manifest import parse_manifest -from src.core.tasks import TaskTypes -from src.core.types import JobStatuses, Networks, ProjectStatuses +from src.core.types import JobStatuses, Networks from src.db import SessionLocal from src.db.utils import ForUpdateParams from src.models.cvat import Job -from src.utils.assignments import get_default_assignment_timeout +from src.utils.assignments import get_assignment_timeout from src.utils.requests import get_or_404 from src.utils.time import utcnow @@ -53,16 +52,6 @@ def create_assignment( "The user already has an unfinished assignment in this project" ) - # TODO: Try to put into 1 request. SQLAlchemy generates 2 queries with simple - # .options(selectinload(Job.project)) - project = get_or_404( - cvat_service.get_project_by_escrow_address( - session, escrow_address, status_in=[ProjectStatuses.annotation] - ), - escrow_address, - object_type_name="job", - ) - unassigned_job = cvat_service.get_free_job( session, escrow_address=escrow_address, @@ -82,12 +71,7 @@ def create_assignment( wallet_address=user.wallet_address, cvat_job_id=unassigned_job.cvat_id, expires_at=utcnow() - + timedelta( - seconds=get_default_assignment_timeout( - TaskTypes(project.job_type) - # TODO: need to update this if we have multiple job types per escrow - ) - ), + + timedelta(seconds=get_assignment_timeout(manifest)), ) cvat_service.update_job_status(session, unassigned_job.id, status=JobStatuses.in_progress) diff --git a/packages/examples/cvat/exchange-oracle/src/utils/assignments.py b/packages/examples/cvat/exchange-oracle/src/utils/assignments.py index 9aa1d8fac5..23292bdf78 100644 --- a/packages/examples/cvat/exchange-oracle/src/utils/assignments.py +++ b/packages/examples/cvat/exchange-oracle/src/utils/assignments.py @@ -1,8 +1,15 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING from urllib.parse import urljoin from src.core.config import Config +from src.core.manifest import get_manifest_task_type from src.core.tasks import TaskTypes, skeletons_from_boxes -from src.models.cvat import Project + +if TYPE_CHECKING: + from src.core.manifest import ManifestBase + from src.models.cvat import Project def compose_assignment_url(task_id: int, job_id: int, *, project: Project) -> str: @@ -28,3 +35,15 @@ def get_default_assignment_timeout(task_type: TaskTypes) -> int: timeout_seconds *= skeletons_from_boxes.DEFAULT_ASSIGNMENT_SIZE_MULTIPLIER return timeout_seconds + + +def get_assignment_timeout(manifest: ManifestBase) -> int: + """ + Get assignment expiration timeout, in seconds. + """ + details = getattr(getattr(manifest, "annotation", None), "details", None) + max_time = getattr(details, "max_time", None) + if max_time is not None: + return max_time + + return get_default_assignment_timeout(get_manifest_task_type(manifest)) From e2082f0dba89717168644619e143c588a1bae57f Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Thu, 9 Jul 2026 13:57:02 +0300 Subject: [PATCH 32/53] build(exchange-oracle): declare numpy as a direct dependency The audio transcription task builder imports numpy (seeded RNG for honeypot/assignment mixing) but numpy was only pulled in transitively. Declare it explicitly so the import can't break on a dependency reshuffle. Co-Authored-By: Claude Opus 4.8 (1M context) --- packages/examples/cvat/exchange-oracle/pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/packages/examples/cvat/exchange-oracle/pyproject.toml b/packages/examples/cvat/exchange-oracle/pyproject.toml index 718d9713ea..f1b82ac5f4 100644 --- a/packages/examples/cvat/exchange-oracle/pyproject.toml +++ b/packages/examples/cvat/exchange-oracle/pyproject.toml @@ -19,6 +19,7 @@ sqlalchemy = "^2.0.16" apscheduler = "^3.10.1" xmltodict = "^0.13.0" datumaro = {git = "https://github.com/cvat-ai/datumaro.git", rev = "ff83c00c2c1bc4b8fdfcc55067fcab0a9b5b6b11"} +numpy = "^1.25.2" boto3 = "^1.28.33" google-cloud-storage = "^2.14.0" pyinstrument = "^4.6.2" From ab082883ae0d3febfdf681b4582c84f492bad1c2 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Thu, 9 Jul 2026 14:01:18 +0300 Subject: [PATCH 33/53] fix condition --- .../src/handlers/job_creation/builders/audio/transcription.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py index 03cb103230..2af8610d9b 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py @@ -740,7 +740,7 @@ def _validate_gt_regions( for span_id, span_members in by_span.items(): span_duration = _get_span_duration(span_members) - if span_duration > min_span_duration: + if span_duration < min_span_duration: excluded.excluded_count += len(span_members) excluded.add_message( f"GT span '{span_id}' ({span_duration:.3f}s) - shorter " From 6e6787563da781546df07293367a3b1fbc3d1048 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Thu, 9 Jul 2026 16:09:44 +0300 Subject: [PATCH 34/53] feat(cvat-audio): span-based GT honeypots + configurable boundary tolerance Validation-side improvements for audio transcription, shared across the exchange and recording oracles: - GT is organized into densely-annotated spans via a `span_id` column; honeypot cues are joined only within a span, never across gaps. - Add `min_gt_span_duration` detail: spans shorter than it are excluded. - Add `boundary_tolerance` detail (default 200ms), forwarded to the audio validator so annotator/GT interval boundary drift within the join pause no longer drops a honeypot. - Recording-oracle audio checker: resolve each job to its clip via the EO-recorded task->clip mapping; extend the honeypot inclusion window by half the adjacent pause on each side. Co-Authored-By: Claude Opus 4.8 (1M context) --- .../exchange-oracle/src/core/manifest/v2.py | 3 + .../core/tasks/audio_transcription/spec.py | 7 + .../cvat/recording-oracle/pyproject.toml | 2 + .../recording-oracle/src/core/manifest/v2.py | 10 ++ .../core/tasks/audio_transcription/meta.py | 54 ++++--- .../core/tasks/audio_transcription/spec.py | 18 +++ .../src/handlers/completion/handlers.py | 2 +- .../src/handlers/validation/handlers.py | 2 +- .../validation/quality_checkers/audio.py | 135 +++++++++++------- 9 files changed, 158 insertions(+), 75 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py index 80e277e76d..010cdd4c89 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py @@ -91,6 +91,9 @@ class AudioJobDetails(DetailsInfoBase): validation_overhead: int | None = None "Extra validation samples added on top of the required amount" + boundary_tolerance: int | None = None + "Allowed annotation/GT interval boundary misalignment at honeypots, milliseconds" + DetailsInfo = ImageJobDetails | AudioJobDetails diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py index b35d9a3416..1b5f12894d 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py @@ -75,6 +75,9 @@ class TranscriptionDetails(BaseModel): roi_join_pause: timedelta = timedelta(milliseconds=700) "Silence inserted between concatenated regions in an assignment clip" + boundary_tolerance: timedelta = timedelta(milliseconds=200) + "Allowed joined annotation/GT interval boundary misalignment when matching transcriptions" + standard_assignment_duration: timedelta = timedelta(seconds=60) "Target audio duration per assignment" @@ -136,6 +139,10 @@ def parse_audio_manifest(manifest: JobManifest) -> TranscriptionTaskSpecificatio details_fields["min_gt_span_duration"] = timedelta( seconds=manifest_details.min_gt_span_duration ) + if manifest_details.boundary_tolerance is not None: + details_fields["boundary_tolerance"] = timedelta( + milliseconds=manifest_details.boundary_tolerance + ) if manifest_details.validation_overhead is not None: details_fields["validation_overhead"] = manifest_details.validation_overhead / 100.0 if manifest_details.min_composition is not None: diff --git a/packages/examples/cvat/recording-oracle/pyproject.toml b/packages/examples/cvat/recording-oracle/pyproject.toml index 27659af0ba..c07840b9f1 100644 --- a/packages/examples/cvat/recording-oracle/pyproject.toml +++ b/packages/examples/cvat/recording-oracle/pyproject.toml @@ -121,6 +121,8 @@ ignore = [ "ANN001", # | "ANN003", # | "ARG001", # | + "ARG002", # Allow unused args in test doubles mirroring real signatures + "RET504", # Allow assign-before-return for readability in tests "FBT001", # Allow bool-annotated positional args in functions "SLF001", # Allow private attrs access "PLR2004", # Allow magic values diff --git a/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py b/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py index 76ac94fade..010cdd4c89 100644 --- a/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py +++ b/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py @@ -78,12 +78,22 @@ class AudioJobDetails(DetailsInfoBase): max_segment_duration: int | None = None "Maximum audio segment duration, seconds" + min_gt_span_duration: int | None = None + """ + Minimum duration of densely-annotated GT regions, in seconds. + Each is expected to contain 1 or more annotated intervals inside. + A span is identified by the span_id field. + """ + min_composition: MinComposition | None = None "Minimal composition of a job" validation_overhead: int | None = None "Extra validation samples added on top of the required amount" + boundary_tolerance: int | None = None + "Allowed annotation/GT interval boundary misalignment at honeypots, milliseconds" + DetailsInfo = ImageJobDetails | AudioJobDetails diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py index e612a2c0a0..e89f27ab98 100644 --- a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py @@ -76,9 +76,10 @@ class InputGtRegion: filename: str start: timedelta stop: timedelta - label: str | None = None - text: str = "" + label: str + text: str row_idx: int + span_id: str @property def id(self) -> str: @@ -86,7 +87,6 @@ def id(self) -> str: def parse_gt_tsv(data: bytes) -> list[InputGtRegion]: - "Parse a GT transcription TSV (columns: filename, start, stop, label, text) into regions." reader = csv.DictReader(io.StringIO(data.decode("utf-8")), delimiter="\t") return [ InputGtRegion( @@ -94,8 +94,9 @@ def parse_gt_tsv(data: bytes) -> list[InputGtRegion]: row_idx=row_idx, start=parse_time(row["start"]), stop=parse_time(row["stop"]), - label=(row.get("label") or "").strip() or None, - text=(row.get("text") or "").strip(), + label=row["label"].strip(), + text=row["text"].strip(), + span_id=row["span_id"].strip(), ) for row_idx, row in enumerate(reader) ] @@ -127,17 +128,17 @@ class PlacedRegion: index: int # 0-based position within the assignment clip source_filename: str - file_start: float - file_stop: float + source_start: float + source_stop: float clip_start: float clip_stop: float - kind: RegionKind = RegionKind.ds + kind: RegionKind input_ids: list[str] = Factory(list) # ids of the input ROIs this bundle was built from @frozen(kw_only=True) -class Assignment: - """One CVAT task: a single concatenated clip built from ``placed`` regions.""" +class Clip: + """A single concatenated audio clip built from ``placed`` regions (one per CVAT task).""" id: str clip_filename: str @@ -169,8 +170,8 @@ def _placed_to_dict(r: PlacedRegion) -> dict: return { "index": r.index, "source_filename": r.source_filename, - "file_start": r.file_start, - "file_stop": r.file_stop, + "source_start": r.source_start, + "source_stop": r.source_stop, "clip_start": r.clip_start, "clip_stop": r.clip_stop, "kind": r.kind.value, @@ -182,8 +183,8 @@ def _placed_from_dict(d: dict) -> PlacedRegion: return PlacedRegion( index=d["index"], source_filename=d["source_filename"], - file_start=d["file_start"], - file_stop=d["file_stop"], + source_start=d["source_start"], + source_stop=d["source_stop"], clip_start=d["clip_start"], clip_stop=d["clip_stop"], kind=RegionKind(d["kind"]), @@ -196,7 +197,8 @@ class TaskMetaLayout: GT_FILENAME = "gt.tsv" REGIONS_TSV_FILENAME = "regions.tsv" REGIONS_FILENAME = "regions.json" - ASSIGNMENTS_FILENAME = "assignments.json" + CLIPS_FILENAME = "assignments.json" + TASK_CLIPS_FILENAME = "task_clips.json" DS_CUTS_DIR = "ds_cuts" GT_CUTS_DIR = "gt_cuts" @@ -220,22 +222,22 @@ def serialize_regions(self, regions: list[PresentedRegion]) -> bytes: def parse_regions(self, data: bytes) -> list[PresentedRegion]: return [_region_from_dict(d) for d in parse_json(data)] - def serialize_assignments(self, assignments: list[Assignment]) -> bytes: + def serialize_clips(self, clips: list[Clip]) -> bytes: return dump_json( [ { - "id": a.id, - "clip_filename": a.clip_filename, - "clip_dur": a.clip_duration, - "placed": [_placed_to_dict(p) for p in a.placed], + "id": clip.id, + "clip_filename": clip.clip_filename, + "clip_dur": clip.clip_duration, + "placed": [_placed_to_dict(p) for p in clip.placed], } - for a in assignments + for clip in clips ] ) - def parse_assignments(self, data: bytes) -> list[Assignment]: + def parse_clips(self, data: bytes) -> list[Clip]: return [ - Assignment( + Clip( id=d["id"], clip_filename=d["clip_filename"], clip_duration=d["clip_dur"], @@ -243,3 +245,9 @@ def parse_assignments(self, data: bytes) -> list[Assignment]: ) for d in parse_json(data) ] + + def serialize_task_clips(self, task_clips: dict[int, str]) -> bytes: + return dump_json({str(task_id): clip_id for task_id, clip_id in task_clips.items()}) + + def parse_task_clips(self, data: bytes) -> dict[int, str]: + return {int(task_id): clip_id for task_id, clip_id in parse_json(data).items()} diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py index c5d33d4770..1b5f12894d 100644 --- a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py @@ -59,6 +59,13 @@ class TranscriptionDetails(BaseModel): min_composition: tuple[int, int] = (2, 2) "(gt, ds): minimum number of honeypot and DS regions per assignment" + min_gt_span_duration: timedelta = timedelta(seconds=30) + """ + Minimum duration of densely-annotated GT regions, in seconds. + Each is expected to contain 1 or more annotated intervals inside. + A span is identified by the span_id field. + """ + roi_min_duration: timedelta = timedelta(seconds=5) "Minimum presented region duration. Smaller segments are bundled together" @@ -68,6 +75,9 @@ class TranscriptionDetails(BaseModel): roi_join_pause: timedelta = timedelta(milliseconds=700) "Silence inserted between concatenated regions in an assignment clip" + boundary_tolerance: timedelta = timedelta(milliseconds=200) + "Allowed joined annotation/GT interval boundary misalignment when matching transcriptions" + standard_assignment_duration: timedelta = timedelta(seconds=60) "Target audio duration per assignment" @@ -125,6 +135,14 @@ def parse_audio_manifest(manifest: JobManifest) -> TranscriptionTaskSpecificatio details_fields["roi_max_duration"] = timedelta( seconds=manifest_details.max_segment_duration ) + if manifest_details.min_gt_span_duration is not None: + details_fields["min_gt_span_duration"] = timedelta( + seconds=manifest_details.min_gt_span_duration + ) + if manifest_details.boundary_tolerance is not None: + details_fields["boundary_tolerance"] = timedelta( + milliseconds=manifest_details.boundary_tolerance + ) if manifest_details.validation_overhead is not None: details_fields["validation_overhead"] = manifest_details.validation_overhead / 100.0 if manifest_details.min_composition is not None: diff --git a/packages/examples/cvat/recording-oracle/src/handlers/completion/handlers.py b/packages/examples/cvat/recording-oracle/src/handlers/completion/handlers.py index ef51d1d71f..d48355ba10 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/completion/handlers.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/completion/handlers.py @@ -88,7 +88,7 @@ def _handle_result(self, export_result: FinalResult): logger.info( f"Result uploading for escrow_address={escrow_address}: successful, " - f"average annotation quality is {export_result.average_quality * 100:.2f}%" + f"average quality score is {export_result.average_quality * 100:.2f}%" ) recor_merged_annotations_path = self._compose_validation_results_bucket_filename( diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/handlers.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/handlers.py index 536e4dcbcd..750a5438e3 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/validation/handlers.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/handlers.py @@ -100,7 +100,7 @@ def _handle_validation_result(self, validation_result: ValidationResult): if isinstance(validation_result, ValidationSuccess): logger.info( f"Validation for escrow_address={escrow_address}: successful, " - f"average annotation quality is {validation_result.average_quality * 100:.2f}%" + f"average quality score is {validation_result.average_quality * 100:.2f}%" ) recor_validation_meta_path = self._compose_validation_results_bucket_filename( diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py index 6aad32e374..27320ed9a2 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py @@ -41,7 +41,7 @@ if TYPE_CHECKING: from src.core.annotation_meta import JobMeta - from src.core.tasks.audio_transcription.meta import Assignment, PlacedRegion + from src.core.tasks.audio_transcription.meta import Clip, PlacedRegion from src.services.cloud.client import StorageClient # Groups are keyed by the presented honeypot so each honeypot's transcription is aligned in @@ -54,9 +54,7 @@ class AudioTaskQualityChecker(TaskQualityChecker): Scores audio-transcription assignments. CVAT doesn't support quality computation for such tasks yet, so the computations are performed in the oracle. - For each job it reconstructs the annotator's honeypot transcriptions (from the per-assignment - TSV + the assignment/clip mapping), aligns them against the ground truth per presented honeypot, - and computes the WER/CER error rate. + Each assignment annotations are scored per their honeypots, computing the WER/CER metrics. Honeypot rotation is not used. """ @@ -96,24 +94,36 @@ def _validate_jobs(self) -> None: text_attribute=transcription_attr, normalizer=self._normalizer_config(spec.details.normalizer), grouping=GroupingConfig(attribute=_GROUP_ATTR, strategy=GroupingStrategy.JOIN), + overlap_tolerance_ms=round(spec.details.boundary_tolerance.total_seconds() * 1000), ) normalizer = Normalizer(req.normalizer) client = make_cloud_client( BucketAccessInfo.parse_obj(Config.exchange_oracle_storage_config) ) - gt_rows = self._load_gt(client) - assignments = self._load_assignments(client) - annotations = self._download_assignment_tsvs(client) + gt_annotations = self._load_gt(client) + clips_by_id = self._load_clips_meta(client) + task_clips = self._load_task_clips(client) + annotation_bytes = self._download_assignment_annotations(client) job_results: dict[int, float] = {} rejected_jobs: dict[int, object] = {} for job_meta in self._meta.jobs: + ds_annotations = self._parse_annotations(annotation_bytes[job_meta.job_id]) + # Each CVAT task holds exactly one clip; join the job to its clip via the EO-recorded + # task -> clip mapping. An empty submission still resolves here, so its honeypots score + # as full deletions (rate 1.0) instead of being treated as unverifiable. + clip_meta = clips_by_id[task_clips[job_meta.task_id]] + gt_intervals, hyp_intervals = self._build_intervals( - annotations[job_meta.job_id], assignments, gt_rows, transcription_attr + ds_annotations, + gt_annotations, + clip_meta=clip_meta, + transcription_attr=transcription_attr, ) if not gt_intervals: + # No honeypots available - not expected by construction. job_results[job_meta.job_id] = UNKNOWN_QUALITY rejected_jobs[job_meta.job_id] = TooFewGtError() continue @@ -155,28 +165,39 @@ def _load_gt(self, client: StorageClient) -> dict[str, InputGtRegion]: ) return {region.id: region for region in parse_gt_tsv(data)} - def _load_assignments(self, client: StorageClient) -> dict[str, Assignment]: + def _load_clips_meta(self, client: StorageClient) -> dict[str, Clip]: + "Returns clip id -> clip meta mapping." + data = client.download_file( compose_data_bucket_filename( - self.escrow_address, self.chain_id, TaskMetaLayout.ASSIGNMENTS_FILENAME + self.escrow_address, self.chain_id, TaskMetaLayout.CLIPS_FILENAME ) ) - return {a.clip_filename: a for a in TaskMetaSerializer().parse_assignments(data)} + return {a.id: a for a in TaskMetaSerializer().parse_clips(data)} + + def _load_task_clips(self, client: StorageClient) -> dict[int, str]: + "Returns CVAT task id -> clip id mapping." + + data = client.download_file( + compose_data_bucket_filename( + self.escrow_address, self.chain_id, TaskMetaLayout.TASK_CLIPS_FILENAME + ) + ) + return TaskMetaSerializer().parse_task_clips(data) + + @staticmethod + def _parse_annotations(annotation: bytes) -> list[dict]: + return list(csv.DictReader(io.StringIO(annotation.decode("utf-8")), delimiter="\t")) def _build_intervals( self, - annotation: bytes, - assignments: dict[str, Assignment], - gt_rows: dict[str, InputGtRegion], - attr: str, + ds_annotations: list[dict], + gt_annotations: dict[str, InputGtRegion], + *, + clip_meta: Clip, + transcription_attr: str, ) -> tuple[list[Interval], list[Interval]]: - rows = list(csv.DictReader(io.StringIO(annotation.decode("utf-8")), delimiter="\t")) - - assignment = self._resolve_assignment(rows, assignments) - if assignment is None: - return [], [] - - gt_placements = [p for p in assignment.placed if p.kind == RegionKind.gt] + gt_placements = [p for p in clip_meta.placed if p.kind == RegionKind.gt] # Ground-truth reference intervals for every presented honeypot (built regardless of what # the annotator produced, so an omitted honeypot becomes a missing group = full errors). @@ -185,16 +206,20 @@ def _build_intervals( for placed in gt_placements: honeypot_id = self._honeypot_id(placed) for region_id in placed.input_ids: - gt = gt_rows.get(region_id) - if gt is None: - continue + try: + gt = gt_annotations[region_id] + except KeyError as e: + raise AssertionError( + f"Honeypot region '{region_id}' is missing from gt.tsv" + ) from e + gt_intervals.append( Interval( id=counter, start=gt.start.total_seconds() * 1000.0, stop=gt.stop.total_seconds() * 1000.0, - label=gt.label or "", - extra={attr: gt.text, _GROUP_ATTR: honeypot_id}, + label=gt.label, + extra={transcription_attr: gt.text, _GROUP_ATTR: honeypot_id}, ) ) counter += 1 @@ -202,21 +227,21 @@ def _build_intervals( # Annotator (hypothesis) intervals: only rows falling inside a honeypot window, mapped from # clip-time back to source-file time. hyp_intervals: list[Interval] = [] - for row in rows: + for row in ds_annotations: start_s = parse_time(row["start"]).total_seconds() stop_s = parse_time(row["stop"]).total_seconds() - placed = self._placed_at(assignment, start_s) - if placed is None or placed.kind != RegionKind.gt: + placed = self._honeypot_at(clip_meta, start_s, stop_s) + if placed is None: continue - offset = placed.file_start - placed.clip_start + offset = placed.source_start - placed.clip_start hyp_intervals.append( Interval( id=counter, start=(start_s + offset) * 1000.0, stop=(stop_s + offset) * 1000.0, - label=row.get("label", "") or "", + label=row["label"], extra={ - attr: row.get(attr, "") or "", + transcription_attr: row[transcription_attr], _GROUP_ATTR: self._honeypot_id(placed), }, ) @@ -225,7 +250,7 @@ def _build_intervals( return gt_intervals, hyp_intervals - def _download_assignment_tsvs(self, client: StorageClient) -> dict[int, bytes]: + def _download_assignment_annotations(self, client: StorageClient) -> dict[int, bytes]: "Download every job's per-assignment annotation TSV up front, keyed by cvat job id." return { job_meta.job_id: self._download_assignment_tsv(client, job_meta) @@ -243,16 +268,6 @@ def _download_assignment_tsv(self, client: StorageClient, job_meta: JobMeta) -> ) ) - @staticmethod - def _resolve_assignment( - rows: list[dict], assignments: dict[str, Assignment] - ) -> Assignment | None: - for row in rows: - clip = row["filename"].rsplit("/", 1)[-1] - if clip in assignments: - return assignments[clip] - return None - @staticmethod def _honeypot_id(placed: PlacedRegion) -> str: # A gt placement is always built from >=1 GT input ROI, so input_ids is non-empty. @@ -260,11 +275,31 @@ def _honeypot_id(placed: PlacedRegion) -> str: return ",".join(placed.input_ids) @staticmethod - def _placed_at(assignment: Assignment, clip_time_s: float) -> PlacedRegion | None: - return next( - (p for p in assignment.placed if p.clip_start <= clip_time_s < p.clip_stop), - None, - ) + def _honeypot_at(clip: Clip, start_s: float, stop_s: float) -> PlacedRegion | None: + """ + Return the honeypot placement that fully contains the annotator interval ``[start_s, + stop_s]`` within its inclusion window. + + Each honeypot window is extended by half of the join pause to the adjacent region on each + side (``[hp_start - pause/2, hp_stop + pause/2]``); an interval counts for the honeypot only + if both its endpoints fall inside. Annotator segment boundaries don't align with the + synthetic cut/pause boundaries: the half-pause margin keeps a segment that drifts into the + surrounding pause, while requiring both endpoints inside excludes one that spills into an + adjacent region. + """ + regions = sorted(clip.placed, key=lambda p: p.clip_start) + for idx, p in enumerate(regions): + if p.kind != RegionKind.gt: + continue + lo = p.clip_start + hi = p.clip_stop + if idx > 0: + lo -= (p.clip_start - regions[idx - 1].clip_stop) / 2 + if idx < len(regions) - 1: + hi += (regions[idx + 1].clip_start - p.clip_stop) / 2 + if lo <= start_s and stop_s <= hi: + return p + return None def _job_error_rate(self, report, req: TranscriptionRequirement, normalizer) -> float: """ @@ -299,6 +334,6 @@ def _job_error_rate(self, report, req: TranscriptionRequirement, normalizer) -> @staticmethod def _group_units(group: list[Interval], req: TranscriptionRequirement, normalizer) -> list[str]: joined = req.grouping.join_separator.join( - iv.extra.get(req.text_attribute, "") for iv in sorted(group, key=lambda i: i.start) + iv.extra[req.text_attribute] for iv in sorted(group, key=lambda i: i.start) ) return tokenize(normalizer(joined), granularity=req.granularity) From 7c6ce118d4f3e3908ff241bd9ee2fd4376509d58 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Mon, 13 Jul 2026 14:05:02 +0300 Subject: [PATCH 35/53] chore(cvat): relock poetry for the audio feature deps Reconcile lockfiles on top of the lib-bump base (cvat-sdk 2.69, audio-qe, numpy) after rebasing the audio work onto the library-bump + blockchain-node-drop branch. Co-Authored-By: Claude Opus 4.8 (1M context) --- .../examples/cvat/exchange-oracle/poetry.lock | 6729 +++++++++-------- .../cvat/recording-oracle/poetry.lock | 105 +- 2 files changed, 3720 insertions(+), 3114 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/poetry.lock b/packages/examples/cvat/exchange-oracle/poetry.lock index 720a2f24dd..48e1008447 100644 --- a/packages/examples/cvat/exchange-oracle/poetry.lock +++ b/packages/examples/cvat/exchange-oracle/poetry.lock @@ -22,150 +22,202 @@ redis = ["redis (>=4.2.0)"] [[package]] name = "aiohappyeyeballs" -version = "2.4.6" +version = "2.7.1" description = "Happy Eyeballs for asyncio" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" files = [ - {file = "aiohappyeyeballs-2.4.6-py3-none-any.whl", hash = "sha256:147ec992cf873d74f5062644332c539fcd42956dc69453fe5204195e560517e1"}, - {file = "aiohappyeyeballs-2.4.6.tar.gz", hash = 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.../manifests/manifest-v1.json} | 0 .../test_track_completed_escrows.py | 8 +++--- .../test_process_job_launcher_webhooks.py | 4 +-- .../integration/services/test_exchange.py | 24 ++++++++-------- .../exchange-oracle/tests/utils/constants.py | 2 +- .../docker-compose.test.head.yml | 4 +-- .../recording-oracle/docker-compose.test.yml | 11 +++++--- .../cloud/manifests/manifest-v1.json} | 0 .../recording-oracle/tests/utils/constants.py | 2 +- 12 files changed, 51 insertions(+), 45 deletions(-) rename packages/examples/cvat/exchange-oracle/tests/assets/{manifests/manifest.json => cloud/manifests/manifest-v1.json} (100%) rename packages/examples/cvat/recording-oracle/tests/{utils/manifest.json => assets/cloud/manifests/manifest-v1.json} (100%) diff --git a/packages/examples/cvat/exchange-oracle/docker-compose.test.head.yml b/packages/examples/cvat/exchange-oracle/docker-compose.test.head.yml index b885070446..7647773326 100644 --- a/packages/examples/cvat/exchange-oracle/docker-compose.test.head.yml +++ b/packages/examples/cvat/exchange-oracle/docker-compose.test.head.yml @@ -15,7 +15,7 @@ services: STORAGE_ENDPOINT_URL: 'host.docker.internal:9000' STORAGE_ACCESS_KEY: 'dev' STORAGE_SECRET_KEY: 'devdevdev' - STORAGE_RESULTS_BUCKET_NAME: 'results' + STORAGE_BUCKET_NAME: 'excor-data' STORAGE_USE_SSL: 'False' STORAGE_PROVIDER: 'aws' ENABLE_CUSTOM_CLOUD_HOST: 'Yes' diff --git a/packages/examples/cvat/exchange-oracle/docker-compose.test.yml b/packages/examples/cvat/exchange-oracle/docker-compose.test.yml index 216ac36132..ba527df3bc 100644 --- a/packages/examples/cvat/exchange-oracle/docker-compose.test.yml +++ b/packages/examples/cvat/exchange-oracle/docker-compose.test.yml @@ -36,10 +36,11 @@ services: MINIO_ROOT_USER: dev MINIO_ROOT_PASSWORD: devdevdev volumes: - - ./tests/utils/manifest.json:/tmp/manifests/manifest.json + # Each subdirectory under the shared assets dir seeds a same-named bucket. + - ./tests/assets/cloud:/tmp/cloud:ro entrypoint: 'sh' command: - -c "mkdir -p /data/manifests && cp /tmp/manifests/manifest.json /data/manifests/manifest.json && minio server /data --console-address ':9001'" + -c "mkdir -p /data && cp -r /tmp/cloud/. /data/ && minio server /data --console-address ':9001'" healthcheck: test: ["CMD", "curl", "-f", "http://localhost:9000/minio/health/live"] interval: 5s @@ -57,9 +58,11 @@ services: entrypoint: > /bin/sh -c " /usr/bin/mc config host add myminio http://minio:9000 dev devdevdev; + /usr/bin/mc mb -p myminio/datasets myminio/manifests myminio/excor-data myminio/recor-data; + /usr/bin/mc anonymous set public myminio/datasets; /usr/bin/mc anonymous set public myminio/manifests; - /usr/bin/mc mb myminio/results; - /usr/bin/mc anonymous set public myminio/results; + /usr/bin/mc anonymous set public myminio/excor-data; + /usr/bin/mc anonymous set public myminio/recor-data; " networks: - test-network diff --git a/packages/examples/cvat/exchange-oracle/tests/api/test_exchange_api.py b/packages/examples/cvat/exchange-oracle/tests/api/test_exchange_api.py index b3c552b888..a56413ddfb 100644 --- a/packages/examples/cvat/exchange-oracle/tests/api/test_exchange_api.py +++ b/packages/examples/cvat/exchange-oracle/tests/api/test_exchange_api.py @@ -175,7 +175,7 @@ def validate_result( session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -240,7 +240,7 @@ def test_can_list_jobs_200_without_escrows_in_hidden_states( session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -298,7 +298,7 @@ def test_can_list_jobs_200_with_only_one_entry_per_escrow_address_if_several_pro session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -338,7 +338,7 @@ def test_can_list_jobs_200_with_fields(client: TestClient, session: Session) -> session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -421,7 +421,7 @@ def test_can_list_jobs_200_with_sorting(client: TestClient, session: Session) -> } == {(obj.__class__.__name__, obj.id): True for obj in cvat_jobs + cvat_tasks + cvat_projects} with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -541,7 +541,7 @@ def test_can_list_jobs_200_with_filters(client: TestClient, session: Session): post_init_time = utcnow() + timedelta(seconds=1) with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -632,7 +632,7 @@ def test_can_list_jobs_200_can_show_only_active_jobs_with_free_assignments( session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -681,7 +681,7 @@ def test_can_list_jobs_200_check_values(client: TestClient, session: Session) -> session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -740,7 +740,7 @@ def test_can_list_jobs_200_without_address(client: TestClient, session: Session) session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -875,7 +875,7 @@ def test_can_create_assignment_200(client: TestClient, session: Session) -> None session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_serializer_get_manifest, patch("src.services.exchange.get_escrow_manifest") as mock_exchange_get_manifest, patch( @@ -980,7 +980,7 @@ def test_cannot_create_assignment_400_when_has_unfinished_assignments( session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, ): manifest = json.load(data) @@ -1075,7 +1075,7 @@ def test_can_list_assignments_200(client: TestClient, session: Session) -> None: post_init_time = utcnow() + timedelta(seconds=1) with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -1156,7 +1156,7 @@ def test_can_list_assignments_200_with_sorting(client: TestClient, session: Sess session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -1513,7 +1513,7 @@ def test_can_list_jobs_200_check_updated_at(client: TestClient, session: Session session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_serializer_get_manifest, patch("src.services.exchange.get_escrow_manifest") as mock_exchange_get_manifest, patch( diff --git a/packages/examples/cvat/exchange-oracle/tests/assets/manifests/manifest.json b/packages/examples/cvat/exchange-oracle/tests/assets/cloud/manifests/manifest-v1.json similarity index 100% rename from packages/examples/cvat/exchange-oracle/tests/assets/manifests/manifest.json rename to packages/examples/cvat/exchange-oracle/tests/assets/cloud/manifests/manifest-v1.json diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py index 18e7e422b3..ff3e01a75d 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py @@ -572,7 +572,7 @@ def test_can_export_escrow(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.handlers.job_export.handlers.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.job_export.handlers.validate_escrow"), patch("src.handlers.job_export.downloading.cvat_api") as mock_cvat_api, @@ -700,7 +700,7 @@ def test_can_export_escrow_error_getting_annotations(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.handlers.job_export.handlers.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.job_export.handlers.validate_escrow"), patch( @@ -823,7 +823,7 @@ def test_can_export_escrow_error_uploading_files(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.handlers.job_export.handlers.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.job_export.handlers.validate_escrow"), patch("src.handlers.job_export.downloading.cvat_api") as mock_cvat_api, @@ -948,7 +948,7 @@ def test_can_export_multiple_projects_per_escrow(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as manifest_data, + open("tests/assets/cloud/manifests/manifest-v1.json") as manifest_data, patch("src.handlers.job_export.handlers.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.job_export.handlers.validate_escrow"), patch("src.handlers.job_export.downloading.cvat_api") as mock_cvat_api, diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py index 5ac9267b70..75bc04b580 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py @@ -62,7 +62,7 @@ def test_process_incoming_job_launcher_webhooks_escrow_created_type(self): self.session.commit() with ( patch("src.chain.escrow.get_escrow") as mock_escrow, - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.handlers.job_creation.handlers.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.job_creation.builders.vision.basic.cvat_api") as mock_cvat_api, patch( @@ -248,7 +248,7 @@ def test_process_incoming_job_launcher_webhooks_escrow_created_type_remove_when_ self.session.commit() with ( patch("src.chain.escrow.get_escrow") as mock_escrow, - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.handlers.job_creation.handlers.get_escrow_manifest") as mock_get_manifest, patch("src.handlers.job_creation.builders.vision.basic.cvat_api") as mock_cvat_api, patch( diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/services/test_exchange.py b/packages/examples/cvat/exchange-oracle/tests/integration/services/test_exchange.py index 6d2b191df7..f86e0511e9 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/services/test_exchange.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/services/test_exchange.py @@ -40,7 +40,7 @@ def test_serialize_job(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.endpoints.serializers.get_escrow_manifest") as mock_get_manifest, patch( "src.endpoints.serializers.get_escrow_fund_token_symbol" @@ -99,7 +99,7 @@ def test_create_assignment(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -154,7 +154,7 @@ def test_create_assignment_many_jobs_1_completed(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -193,7 +193,7 @@ def test_create_assignment_invalid_project(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, ): manifest = json.load(data) @@ -212,7 +212,7 @@ def test_create_assignment_no_required_qualifications(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, ): manifest = json.load(data) @@ -240,7 +240,7 @@ def test_create_assignment_with_required_qualifications(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -293,7 +293,7 @@ def test_create_assignment_unfinished_assignment(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -331,7 +331,7 @@ def test_create_assignment_has_expired_assignment_and_available_jobs(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -381,7 +381,7 @@ def test_create_assignment_no_available_jobs_completed_assignment(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -426,7 +426,7 @@ def test_create_assignment_no_available_jobs_active_foreign_assignment(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -464,7 +464,7 @@ def test_create_assignment_wont_reassign_job_to_previous_user(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): @@ -511,7 +511,7 @@ def test_create_assignment_can_assign_job_to_new_user(self): self.session.commit() with ( - open("tests/assets/manifests/manifest.json") as data, + open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.services.exchange.get_escrow_manifest") as mock_get_manifest, patch("src.services.exchange.cvat_api"), ): diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/constants.py b/packages/examples/cvat/exchange-oracle/tests/utils/constants.py index fb27694525..a8588d1a2b 100644 --- a/packages/examples/cvat/exchange-oracle/tests/utils/constants.py +++ b/packages/examples/cvat/exchange-oracle/tests/utils/constants.py @@ -25,7 +25,7 @@ WALLET_ADDRESS1 = "0x86e83d346041E8806e352681f3F14549C0d2BC69" WALLET_ADDRESS2 = "0x86e83d346041E8806e352681f3F14549C0d2BC70" -DEFAULT_MANIFEST_URL = "http://host.docker.internal:9000/manifests/manifest.json" +DEFAULT_MANIFEST_URL = "http://host.docker.internal:9000/manifests/manifest-v1.json" DEFAULT_HASH = "test" SIGNATURE = ( diff --git a/packages/examples/cvat/recording-oracle/docker-compose.test.head.yml b/packages/examples/cvat/recording-oracle/docker-compose.test.head.yml index 044c537d3b..557bab8576 100644 --- a/packages/examples/cvat/recording-oracle/docker-compose.test.head.yml +++ b/packages/examples/cvat/recording-oracle/docker-compose.test.head.yml @@ -15,13 +15,13 @@ services: STORAGE_ENDPOINT_URL: 'host.docker.internal:9000' STORAGE_ACCESS_KEY: 'dev' STORAGE_SECRET_KEY: 'devdevdev' - STORAGE_RESULTS_BUCKET_NAME: 'results' + STORAGE_RESULTS_BUCKET_NAME: 'recor-data' STORAGE_PROVIDER: 'aws' STORAGE_USE_SSL: False EXCHANGE_ORACLE_STORAGE_ENDPOINT_URL: 'host.docker.internal:9000' EXCHANGE_ORACLE_STORAGE_ACCESS_KEY: 'dev' EXCHANGE_ORACLE_STORAGE_SECRET_KEY: 'devdevdev' - EXCHANGE_ORACLE_STORAGE_RESULTS_BUCKET_NAME: 'results' + EXCHANGE_ORACLE_STORAGE_RESULTS_BUCKET_NAME: 'excor-data' EXCHANGE_ORACLE_STORAGE_USE_SSL: False EXCHANGE_ORACLE_STORAGE_PROVIDER: 'aws' depends_on: diff --git a/packages/examples/cvat/recording-oracle/docker-compose.test.yml b/packages/examples/cvat/recording-oracle/docker-compose.test.yml index 82c78ff286..526fb2b7d0 100644 --- a/packages/examples/cvat/recording-oracle/docker-compose.test.yml +++ b/packages/examples/cvat/recording-oracle/docker-compose.test.yml @@ -18,11 +18,11 @@ services: MINIO_ROOT_USER: dev MINIO_ROOT_PASSWORD: devdevdev volumes: - - ./tests/utils/manifest.json:/tmp/manifests/manifest.json - - ./tests/utils/intermediate-results.json:/tmp/results/intermediate-results.json + # Each subdirectory under the shared assets dir seeds a same-named bucket. + - ./tests/assets/cloud:/tmp/cloud:ro entrypoint: 'sh' command: - -c "mkdir -p /data/manifests && cp /tmp/manifests/manifest.json /data/manifests/manifest.json && mkdir -p /data/results && cp /tmp/results/intermediate-results.json /data/results/intermediate-results.json && minio server /data --console-address ':9001'" + -c "mkdir -p /data && cp -r /tmp/cloud/. /data/ && minio server /data --console-address ':9001'" healthcheck: test: ["CMD", "curl", "-f", "http://localhost:9000/minio/health/live"] interval: 5s @@ -40,8 +40,11 @@ services: entrypoint: > /bin/sh -c " /usr/bin/mc config host add myminio http://minio:9000 dev devdevdev; + /usr/bin/mc mb -p myminio/datasets myminio/manifests myminio/excor-data myminio/recor-data; + /usr/bin/mc anonymous set public myminio/datasets; /usr/bin/mc anonymous set public myminio/manifests; - /usr/bin/mc anonymous set public myminio/results; + /usr/bin/mc anonymous set public myminio/excor-data; + /usr/bin/mc anonymous set public myminio/recor-data; " networks: - test-network diff --git a/packages/examples/cvat/recording-oracle/tests/utils/manifest.json b/packages/examples/cvat/recording-oracle/tests/assets/cloud/manifests/manifest-v1.json similarity index 100% rename from packages/examples/cvat/recording-oracle/tests/utils/manifest.json rename to packages/examples/cvat/recording-oracle/tests/assets/cloud/manifests/manifest-v1.json diff --git a/packages/examples/cvat/recording-oracle/tests/utils/constants.py b/packages/examples/cvat/recording-oracle/tests/utils/constants.py index 90af4374a6..fcf9263452 100644 --- a/packages/examples/cvat/recording-oracle/tests/utils/constants.py +++ b/packages/examples/cvat/recording-oracle/tests/utils/constants.py @@ -19,7 +19,7 @@ EXCHANGE_ORACLE_ADDRESS = "0x90F79bf6EB2c4f870365E785982E1f101E93b906" EXCHANGE_ORACLE_FEE = 10 -DEFAULT_MANIFEST_URL = "http://host.docker.internal:9000/manifests/manifest.json" +DEFAULT_MANIFEST_URL = "http://host.docker.internal:9000/manifests/manifest-v1.json" DEFAULT_HASH = "test" SIGNATURE = ( From e59fb728a32a0f0d94f0a4e790b287f7afe6d2b4 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Mon, 13 Jul 2026 19:11:36 +0300 Subject: [PATCH 37/53] Revert extra change --- .../cvat/exchange-oracle/src/services/exchange.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/packages/examples/cvat/exchange-oracle/src/services/exchange.py b/packages/examples/cvat/exchange-oracle/src/services/exchange.py index 3ece001f65..8e629553f9 100644 --- a/packages/examples/cvat/exchange-oracle/src/services/exchange.py +++ b/packages/examples/cvat/exchange-oracle/src/services/exchange.py @@ -5,7 +5,7 @@ import src.services.cvat as cvat_service from src.chain.escrow import get_escrow_manifest from src.core.manifest import parse_manifest -from src.core.types import JobStatuses, Networks +from src.core.types import JobStatuses, Networks, ProjectStatuses from src.db import SessionLocal from src.db.utils import ForUpdateParams from src.models.cvat import Job @@ -52,6 +52,14 @@ def create_assignment( "The user already has an unfinished assignment in this project" ) + get_or_404( + cvat_service.get_project_by_escrow_address( + session, escrow_address, status_in=[ProjectStatuses.annotation] + ), + escrow_address, + object_type_name="job", + ) + unassigned_job = cvat_service.get_free_job( session, escrow_address=escrow_address, From 59dda0cc8a8b9ac76c8662c9591a22b0751ab991 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Mon, 13 Jul 2026 19:20:39 +0300 Subject: [PATCH 38/53] Update tests --- .../test_track_completed_escrows.py | 15 +++++++++++++++ .../cron/test_process_job_launcher_webhooks.py | 6 +++++- 2 files changed, 20 insertions(+), 1 deletion(-) diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py index ff3e01a75d..80870ecc89 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/state_trackers/test_track_completed_escrows.py @@ -263,7 +263,12 @@ def test_can_request_validation(self): self.session.commit() with ( + open("tests/assets/cloud/manifests/manifest-v1.json") as manifest_data, patch("src.handlers.job_completion.handlers.validate_escrow"), + patch( + "src.handlers.job_completion.handlers.get_escrow_manifest", + return_value=json.load(manifest_data), + ), patch("src.handlers.job_export.results.cloud_service") as mock_cloud_service, ): mock_storage_client = Mock() @@ -373,7 +378,12 @@ def test_request_validation_error_in_file_uploading_increases_attempts(self): self.session.commit() with ( + open("tests/assets/cloud/manifests/manifest-v1.json") as manifest_data, patch("src.handlers.job_completion.handlers.validate_escrow"), + patch( + "src.handlers.job_completion.handlers.get_escrow_manifest", + return_value=json.load(manifest_data), + ), patch("src.handlers.job_export.results.cloud_service") as mock_cloud_service, patch("src.services.cloud.make_client"), ): @@ -466,7 +476,12 @@ def test_can_request_validation_multiple_projects_per_escrow_all_completed(self) self.session.commit() with ( + open("tests/assets/cloud/manifests/manifest-v1.json") as manifest_data, patch("src.handlers.job_completion.handlers.validate_escrow"), + patch( + "src.handlers.job_completion.handlers.get_escrow_manifest", + return_value=json.load(manifest_data), + ), patch("src.handlers.job_export.results.cloud_service") as mock_cloud_service, ): mock_storage_client = Mock() diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py index 75bc04b580..15dd21b1ee 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/cron/test_process_job_launcher_webhooks.py @@ -60,11 +60,15 @@ def test_process_incoming_job_launcher_webhooks_escrow_created_type(self): self.session.add(webhook) self.session.commit() + # The task builder is split across the `basic` and `base` modules, both of which import + # `cvat_api`; share a single mock across both so all CVAT calls are intercepted. + mock_cvat_api = MagicMock() with ( patch("src.chain.escrow.get_escrow") as mock_escrow, open("tests/assets/cloud/manifests/manifest-v1.json") as data, patch("src.handlers.job_creation.handlers.get_escrow_manifest") as mock_get_manifest, - patch("src.handlers.job_creation.builders.vision.basic.cvat_api") as mock_cvat_api, + patch("src.handlers.job_creation.builders.vision.basic.cvat_api", mock_cvat_api), + patch("src.handlers.job_creation.builders.vision.base.cvat_api", mock_cvat_api), patch( "src.handlers.job_creation.builders.vision.basic.cloud_service.make_client" ) as mock_make_cloud_client, From 04a350c3b17b207f284e9c1b35ee7c9eb5034753 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 14 Jul 2026 18:06:57 +0300 Subject: [PATCH 39/53] Refactor str enums, format code --- .../cvat/exchange-oracle/src/core/config.py | 4 +-- .../src/core/manifest/shared.py | 7 ++--- .../exchange-oracle/src/core/manifest/v2.py | 9 ++---- .../core/tasks/audio_transcription/meta.py | 5 ++-- .../core/tasks/audio_transcription/spec.py | 5 ++-- .../exchange-oracle/src/core/tasks/errors.py | 2 +- .../exchange-oracle/src/core/tasks/types.py | 4 +-- .../cvat/exchange-oracle/src/core/types.py | 30 +++++++++---------- .../exchange-oracle/src/cvat/api_calls.py | 11 ++++--- .../src/endpoints/filtering.py | 9 +++--- .../job_completion/validators/audio.py | 10 ++----- .../builders/audio/transcription.py | 11 ++++--- .../handlers/job_export/exporters/audio.py | 14 ++------- .../exchange-oracle/src/schemas/exchange.py | 6 ++-- .../exchange-oracle/src/services/exchange.py | 3 +- .../exchange-oracle/src/services/webhook.py | 5 ++-- .../cvat/exchange-oracle/src/utils/enums.py | 7 +++++ .../cvat/recording-oracle/poetry.lock | 18 ++++++++++- .../cvat/recording-oracle/pyproject.toml | 1 + .../src/core/manifest/shared.py | 7 ++--- .../recording-oracle/src/core/manifest/v2.py | 9 ++---- .../core/tasks/audio_transcription/meta.py | 5 ++-- .../core/tasks/audio_transcription/spec.py | 5 ++-- .../recording-oracle/src/core/tasks/types.py | 5 ++-- .../cvat/recording-oracle/src/core/types.py | 14 ++++----- .../recording-oracle/src/services/webhook.py | 5 ++-- .../cvat/recording-oracle/src/utils/enums.py | 7 +++++ 27 files changed, 111 insertions(+), 107 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/src/core/config.py b/packages/examples/cvat/exchange-oracle/src/core/config.py index 10d5bb3a5e..87a024ca00 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/config.py +++ b/packages/examples/cvat/exchange-oracle/src/core/config.py @@ -4,7 +4,6 @@ import inspect import os from collections.abc import Iterable -from enum import Enum from os import getenv from typing import ClassVar, Optional @@ -14,6 +13,7 @@ from web3 import Web3 from web3.providers.rpc import HTTPProvider +from src.utils.enums import StrEnum from src.utils.logging import parse_log_level from src.utils.net import is_ipv4 @@ -321,7 +321,7 @@ class DevelopmentConfig: """ -class Environment(str, Enum): +class Environment(StrEnum): PRODUCTION = "production" DEVELOPMENT = "development" TEST = "test" diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/shared.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/shared.py index 089429cc94..1a61fc3774 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/manifest/shared.py +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/shared.py @@ -1,12 +1,11 @@ -from enum import Enum from typing import Annotated, Any, Literal from pydantic import BaseModel, Field, model_validator -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum -class BucketProviders(str, Enum): +class BucketProviders(StrEnum): aws = "AWS" gcs = "GCS" @@ -32,7 +31,7 @@ class GcsBucketUrl(BucketUrlBase, BaseModel): BucketUrl = Annotated[AwsBucketUrl | GcsBucketUrl, Field(discriminator="provider")] -class LabelTypes(str, Enum, metaclass=BetterEnumMeta): +class LabelTypes(StrEnum, metaclass=BetterEnumMeta): plain = "plain" skeleton = "skeleton" diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py index 010cdd4c89..4f0e99c6b3 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py @@ -1,11 +1,10 @@ -from enum import Enum from typing import Any, Literal from pydantic import AnyUrl, BaseModel, ConfigDict, Field, model_validator from src.core.manifest.shared import BucketUrl, LabelInfo, LabelTypes from src.core.tasks import TaskTypes -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum class DataInfo(BaseModel): @@ -34,7 +33,7 @@ class DataInfo(BaseModel): """ -class TargetMetrics(str, Enum, metaclass=BetterEnumMeta): +class TargetMetrics(StrEnum, metaclass=BetterEnumMeta): accuracy = "accuracy" wer = "wer" cer = "cer" @@ -161,9 +160,7 @@ def parse_task_specific_params(cls, values: dict[str, Any]) -> dict[str, Any]: raise NotImplementedError details_cls = ( - AudioJobDetails - if job_type == TaskTypes.audio_transcription - else ImageJobDetails + AudioJobDetails if job_type == TaskTypes.audio_transcription else ImageJobDetails ) annotation["details"] = details_cls.model_validate(details) diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py index e89f27ab98..1f7c45f2c3 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/meta.py @@ -11,12 +11,11 @@ import io import time from datetime import timedelta -from enum import Enum from attrs import Factory, frozen from datumaro.util import dump_json, parse_json -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum CVAT_EXPORT_FORMAT = "Generic TSV 1.0" @@ -102,7 +101,7 @@ def parse_gt_tsv(data: bytes) -> list[InputGtRegion]: ] -class RegionKind(str, Enum, metaclass=BetterEnumMeta): +class RegionKind(StrEnum, metaclass=BetterEnumMeta): gt = "gt" # ground-truth honeypot region ds = "ds" # regular dataset region to annotate diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py index 1b5f12894d..3b0c91f272 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/audio_transcription/spec.py @@ -1,7 +1,6 @@ from __future__ import annotations from datetime import timedelta -from enum import Enum from typing import TYPE_CHECKING from pydantic import AnyUrl, BaseModel, Field @@ -9,13 +8,13 @@ from src.core.manifest.shared import BucketUrl # noqa: TCH001 # runtime-needed by pydantic from src.core.manifest.v2 import TargetMetrics # noqa: TCH001 # runtime-needed by pydantic from src.core.tasks.errors import UnsupportedManifestError -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum if TYPE_CHECKING: from src.core.manifest.v2 import JobManifest -class NormalizerPreset(str, Enum, metaclass=BetterEnumMeta): +class NormalizerPreset(StrEnum, metaclass=BetterEnumMeta): basic = "basic" # universal Unicode + case + whitespace fold # Tier-1 language presets (BASIC plus per-language rules) en = "en" diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/errors.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/errors.py index 68ddebabb1..6f002952f7 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/errors.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/errors.py @@ -1,2 +1,2 @@ class UnsupportedManifestError(Exception): - pass \ No newline at end of file + pass diff --git a/packages/examples/cvat/exchange-oracle/src/core/tasks/types.py b/packages/examples/cvat/exchange-oracle/src/core/tasks/types.py index 6912483e39..0233a8cc69 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/tasks/types.py +++ b/packages/examples/cvat/exchange-oracle/src/core/tasks/types.py @@ -1,9 +1,9 @@ -from enum import Enum +from strenum import StrEnum from src.utils.enums import BetterEnumMeta -class TaskTypes(str, Enum, metaclass=BetterEnumMeta): +class TaskTypes(StrEnum, metaclass=BetterEnumMeta): image_label_binary = "image_label_binary" image_points = "image_points" image_boxes = "image_boxes" diff --git a/packages/examples/cvat/exchange-oracle/src/core/types.py b/packages/examples/cvat/exchange-oracle/src/core/types.py index c138465b89..96a2c92459 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/types.py +++ b/packages/examples/cvat/exchange-oracle/src/core/types.py @@ -1,16 +1,16 @@ -from enum import Enum +from enum import IntEnum from src.core.config import Config -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum -class Networks(int, Enum, metaclass=BetterEnumMeta): +class Networks(IntEnum, metaclass=BetterEnumMeta): polygon_mainnet = Config.polygon_mainnet.chain_id polygon_amoy = Config.polygon_amoy.chain_id localhost = Config.localhost.chain_id -class ProjectStatuses(str, Enum, metaclass=BetterEnumMeta): +class ProjectStatuses(StrEnum, metaclass=BetterEnumMeta): creation = "creation" annotation = "annotation" completed = "completed" @@ -20,58 +20,58 @@ class ProjectStatuses(str, Enum, metaclass=BetterEnumMeta): deleted = "deleted" -class TaskStatuses(str, Enum, metaclass=BetterEnumMeta): +class TaskStatuses(StrEnum, metaclass=BetterEnumMeta): annotation = "annotation" completed = "completed" -class JobStatuses(str, Enum, metaclass=BetterEnumMeta): +class JobStatuses(StrEnum, metaclass=BetterEnumMeta): new = "new" in_progress = "in progress" completed = "completed" -class OracleWebhookTypes(str, Enum, metaclass=BetterEnumMeta): +class OracleWebhookTypes(StrEnum, metaclass=BetterEnumMeta): exchange_oracle = "exchange_oracle" job_launcher = "job_launcher" recording_oracle = "recording_oracle" reputation_oracle = "reputation_oracle" -class ExchangeOracleEventTypes(str, Enum, metaclass=BetterEnumMeta): +class ExchangeOracleEventTypes(StrEnum, metaclass=BetterEnumMeta): escrow_failed = "escrow_failed" job_finished = "job_finished" escrow_cleaned = "escrow_cleaned" escrow_recorded = "escrow_recorded" -class JobLauncherEventTypes(str, Enum, metaclass=BetterEnumMeta): +class JobLauncherEventTypes(StrEnum, metaclass=BetterEnumMeta): escrow_created = "escrow_created" escrow_canceled = "escrow_canceled" -class RecordingOracleEventTypes(str, Enum, metaclass=BetterEnumMeta): +class RecordingOracleEventTypes(StrEnum, metaclass=BetterEnumMeta): job_completed = "job_completed" submission_rejected = "submission_rejected" -class ReputationOracleEventTypes(str, Enum, metaclass=BetterEnumMeta): +class ReputationOracleEventTypes(StrEnum, metaclass=BetterEnumMeta): escrow_completed = "escrow_completed" -class OracleWebhookStatuses(str, Enum, metaclass=BetterEnumMeta): +class OracleWebhookStatuses(StrEnum, metaclass=BetterEnumMeta): pending = "pending" completed = "completed" failed = "failed" -class CvatWebhookStatuses(str, Enum, metaclass=BetterEnumMeta): +class CvatWebhookStatuses(StrEnum, metaclass=BetterEnumMeta): pending = "pending" completed = "completed" failed = "failed" -class AssignmentStatuses(str, Enum, metaclass=BetterEnumMeta): +class AssignmentStatuses(StrEnum, metaclass=BetterEnumMeta): """ State changes: @@ -86,7 +86,7 @@ class AssignmentStatuses(str, Enum, metaclass=BetterEnumMeta): canceled = "canceled" -class EscrowValidationStatuses(str, Enum, metaclass=BetterEnumMeta): +class EscrowValidationStatuses(StrEnum, metaclass=BetterEnumMeta): awaiting = "awaiting" in_progress = "in_progress" completed = "completed" diff --git a/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py b/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py index 67252af867..bbd8977b22 100644 --- a/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py +++ b/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py @@ -6,7 +6,6 @@ from contextlib import contextmanager from contextvars import ContextVar from datetime import datetime, timedelta, timezone -from enum import Enum from http import HTTPStatus from io import BytesIO from pathlib import Path @@ -21,7 +20,7 @@ from httpx import URL from src.core.config import Config -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum from src.utils.time import utcnow _NOTSET = object() @@ -34,21 +33,21 @@ class CVATException(Exception): """Indicates that CVAT API returned unexpected response""" -class RequestStatus(str, Enum, metaclass=BetterEnumMeta): +class RequestStatus(StrEnum, metaclass=BetterEnumMeta): QUEUED = "Queued" STARTED = "Started" FINISHED = "Finished" FAILED = "Failed" -class JobStatus(str, Enum, metaclass=BetterEnumMeta): +class JobStatus(StrEnum, metaclass=BetterEnumMeta): new = "new" in_progress = "in progress" rejected = "rejected" completed = "completed" -class LabelType(str, Enum, metaclass=BetterEnumMeta): +class LabelType(StrEnum, metaclass=BetterEnumMeta): tag = "tag" points = "points" rectangle = "rectangle" @@ -56,7 +55,7 @@ class LabelType(str, Enum, metaclass=BetterEnumMeta): interval = "interval" -class WebhookEventType(str, Enum, metaclass=BetterEnumMeta): +class WebhookEventType(StrEnum, metaclass=BetterEnumMeta): update_job = "update:job" ping = "ping" diff --git a/packages/examples/cvat/exchange-oracle/src/endpoints/filtering.py b/packages/examples/cvat/exchange-oracle/src/endpoints/filtering.py index e37e6e3b9f..e3f35b630b 100644 --- a/packages/examples/cvat/exchange-oracle/src/endpoints/filtering.py +++ b/packages/examples/cvat/exchange-oracle/src/endpoints/filtering.py @@ -1,6 +1,5 @@ from __future__ import annotations -from enum import Enum from typing import TYPE_CHECKING, Any, ClassVar, TypeVar import fastapi @@ -11,13 +10,15 @@ from fastapi_filter.contrib.sqlalchemy import Filter as _Filter from pydantic import BaseModel, Field, ValidationInfo, field_validator -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum if TYPE_CHECKING: + from enum import Enum + from pydantic.fields import FieldInfo -class OrderingDirection(str, Enum, metaclass=BetterEnumMeta): +class OrderingDirection(StrEnum, metaclass=BetterEnumMeta): asc = "ASC" desc = "DESC" @@ -157,4 +158,4 @@ def _get_field_info(klass: type[BaseModel], field_name: str): return klass.model_fields[field_name] -__all__ = ["Filter", "FilterDepends", "with_prefix", "OrderingDirection"] +__all__ = ["Filter", "FilterDepends", "OrderingDirection", "with_prefix"] diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py index d80701f0e9..0da92d0f1a 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_completion/validators/audio.py @@ -25,12 +25,9 @@ def _save_annotation_results(self) -> None: ) self.logger.debug( - f"Downloading annotations for the escrow " - f"(escrow_address={self.escrow_address})" - ) - cvat_job_annotations = download_job_annotations( - self.logger, CVAT_EXPORT_FORMAT, cvat_jobs + f"Downloading annotations for the escrow (escrow_address={self.escrow_address})" ) + cvat_job_annotations = download_job_annotations(self.logger, CVAT_EXPORT_FORMAT, cvat_jobs) result_files: list[FileDescriptor] = [ self._make_annotation_descriptor(job, cvat_job_annotations[job.cvat_id]) @@ -39,8 +36,7 @@ def _save_annotation_results(self) -> None: result_files.append(prepare_annotation_metafile(jobs=cvat_jobs)) self.logger.debug( - f"Recording annotations for the escrow " - f"(escrow_address={self.escrow_address})" + f"Recording annotations for the escrow (escrow_address={self.escrow_address})" ) upload_escrow_results( files=result_files, chain_id=self.chain_id, escrow_address=self.escrow_address diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py index 2af8610d9b..f9761024cd 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py @@ -67,7 +67,7 @@ def _bundle_regions( *, min_duration: timedelta, max_duration: timedelta, - can_bundle: Callable[[_RegionT, _RegionT], bool] = lambda _a, _b: True + can_bundle: Callable[[_RegionT, _RegionT], bool] = lambda _a, _b: True, ) -> list[tuple[timedelta, timedelta, list[_RegionT]]]: """ Bundle consecutive input regions (sorted by start) into groups >= min_duration; @@ -134,10 +134,10 @@ def select_honeypots( can_bundle=( # we can only bundle regions if they belong to the same span lambda a, b: a.span_id == b.span_id - ) + ), ) - rng = np.random.Generator(np.random.MT19937(random_seed)) # pin the rng used for stable results + rng = np.random.Generator(np.random.MT19937(random_seed)) # pin the rng used for stable results idxs = list(range(len(bundles))) rng.shuffle(idxs) n_select = ceil(val_fraction * len(bundles)) @@ -172,7 +172,7 @@ def plan_assignments( """ # 1. shuffle inputs - rng = np.random.Generator(np.random.MT19937(random_seed)) # pin the rng used for stable results + rng = np.random.Generator(np.random.MT19937(random_seed)) # pin the rng used for stable results def sort_key(r: PresentedRegion) -> tuple: return (r.source_filename, r.start) @@ -694,6 +694,7 @@ def _parse_gt_tsv(data: bytes) -> dict[str, list[InputGtRegion]]: # Helpers # --------------------------------------------------------------------------- # + def _validate_gt_regions( regions: list[InputGtRegion], *, @@ -759,6 +760,7 @@ def _bucket_key(prefix: str, filename: str) -> str: """Join a bucket prefix and a filename into a POSIX-style object key.""" return str(PurePosixPath(prefix, filename)) + def _make_cvat_audio_label_configuration( labels: list[str], *, @@ -799,5 +801,6 @@ def _shared_attr_spec(attr) -> dict: ) return label_config + def _get_span_duration(group: list[InputRegion | InputGtRegion]) -> timedelta: return group[-1].stop - group[0].start diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py index 3fa578f445..930497fb23 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_export/exporters/audio.py @@ -57,9 +57,7 @@ def export(self) -> None: rows: list[dict] = [] for job in jobs: rows.extend( - self._annotation_rows( - job_annotations[job.cvat_id], assignments_by_clip, attr_names - ) + self._annotation_rows(job_annotations[job.cvat_id], assignments_by_clip, attr_names) ) rows.sort(key=lambda r: (r["filename"], r["_start_s"])) merged = self._render_tsv([*_LEADING_COLUMNS, *attr_names], rows) @@ -132,20 +130,14 @@ def _annotation_rows( @staticmethod def _placed_at(assignment: Clip, clip_time_s: float) -> PlacedRegion | None: return next( - ( - p - for p in assignment.placed - if p.clip_start <= clip_time_s < p.clip_stop - ), + (p for p in assignment.placed if p.clip_start <= clip_time_s < p.clip_stop), None, ) @staticmethod def _render_tsv(columns: list[str], rows: list[dict]) -> bytes: buffer = io.StringIO() - writer = csv.DictWriter( - buffer, fieldnames=columns, delimiter="\t", extrasaction="ignore" - ) + writer = csv.DictWriter(buffer, fieldnames=columns, delimiter="\t", extrasaction="ignore") writer.writeheader() for global_id, row in enumerate(rows): writer.writerow({**row, "id": global_id}) diff --git a/packages/examples/cvat/exchange-oracle/src/schemas/exchange.py b/packages/examples/cvat/exchange-oracle/src/schemas/exchange.py index 32ed3bd870..bd611a36dd 100644 --- a/packages/examples/cvat/exchange-oracle/src/schemas/exchange.py +++ b/packages/examples/cvat/exchange-oracle/src/schemas/exchange.py @@ -1,12 +1,10 @@ from datetime import datetime -from enum import Enum from pydantic import BaseModel, Field -from strenum import StrEnum # added in python 3.11 from src.core.tasks import TaskTypes from src.core.types import Networks -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum class JobStatuses(StrEnum, metaclass=BetterEnumMeta): @@ -42,7 +40,7 @@ class AssignmentIdRequest(BaseModel): assignment_id: str -class AssignmentStatuses(str, Enum, metaclass=BetterEnumMeta): +class AssignmentStatuses(StrEnum, metaclass=BetterEnumMeta): active = "active" validation = "validation" completed = "completed" diff --git a/packages/examples/cvat/exchange-oracle/src/services/exchange.py b/packages/examples/cvat/exchange-oracle/src/services/exchange.py index 8e629553f9..c5d18bb10a 100644 --- a/packages/examples/cvat/exchange-oracle/src/services/exchange.py +++ b/packages/examples/cvat/exchange-oracle/src/services/exchange.py @@ -78,8 +78,7 @@ def create_assignment( session, wallet_address=user.wallet_address, cvat_job_id=unassigned_job.cvat_id, - expires_at=utcnow() - + timedelta(seconds=get_assignment_timeout(manifest)), + expires_at=utcnow() + timedelta(seconds=get_assignment_timeout(manifest)), ) cvat_service.update_job_status(session, unassigned_job.id, status=JobStatuses.in_progress) diff --git a/packages/examples/cvat/exchange-oracle/src/services/webhook.py b/packages/examples/cvat/exchange-oracle/src/services/webhook.py index 98e86d8f9e..3988c6ed49 100644 --- a/packages/examples/cvat/exchange-oracle/src/services/webhook.py +++ b/packages/examples/cvat/exchange-oracle/src/services/webhook.py @@ -1,7 +1,6 @@ import datetime import uuid from collections.abc import Sequence -from enum import Enum from attrs import define from sqlalchemy import case, update @@ -14,11 +13,11 @@ from src.db.utils import ForUpdateParams from src.db.utils import maybe_for_update as _maybe_for_update from src.models.webhook import Webhook -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum from src.utils.time import utcnow -class OracleWebhookDirectionTags(str, Enum, metaclass=BetterEnumMeta): +class OracleWebhookDirectionTags(StrEnum, metaclass=BetterEnumMeta): incoming = "incoming" outgoing = "outgoing" diff --git a/packages/examples/cvat/exchange-oracle/src/utils/enums.py b/packages/examples/cvat/exchange-oracle/src/utils/enums.py index d4c133b0e5..b069d48158 100644 --- a/packages/examples/cvat/exchange-oracle/src/utils/enums.py +++ b/packages/examples/cvat/exchange-oracle/src/utils/enums.py @@ -1,5 +1,12 @@ from enum import EnumMeta +from strenum import StrEnum # added in python 3.11 + +__all__ = [ + "BetterEnumMeta", + "StrEnum", +] + class BetterEnumMeta(EnumMeta): """ diff --git a/packages/examples/cvat/recording-oracle/poetry.lock b/packages/examples/cvat/recording-oracle/poetry.lock index b65a3af355..ffef5e6aaf 100644 --- a/packages/examples/cvat/recording-oracle/poetry.lock +++ b/packages/examples/cvat/recording-oracle/poetry.lock @@ -4078,6 +4078,22 @@ anyio = ">=3.4.0,<5" [package.extras] full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"] +[[package]] +name = "strenum" +version = "0.4.15" +description = "An Enum that inherits from str." +optional = false +python-versions = "*" +files = [ + {file = "StrEnum-0.4.15-py3-none-any.whl", hash = "sha256:a30cda4af7cc6b5bf52c8055bc4bf4b2b6b14a93b574626da33df53cf7740659"}, + {file = "StrEnum-0.4.15.tar.gz", hash = "sha256:878fb5ab705442070e4dd1929bb5e2249511c0bcf2b0eeacf3bcd80875c82eff"}, +] + +[package.extras] +docs = ["myst-parser[linkify]", "sphinx", "sphinx-rtd-theme"] +release = ["twine"] +test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"] + [[package]] name = "tensorboardx" version = "2.6.2.2" @@ -4675,4 +4691,4 @@ propcache = ">=0.2.0" [metadata] lock-version = "2.0" python-versions = "^3.10, <3.13" -content-hash = "7f165837785af6689800e00dfc6170fdaa1687cff3d83ed0c69c69accc8b058b" +content-hash = "677d6c5f1b1ced0f0a0365a765be4b611ea9ee532d6bba80bd57c57b80327e72" diff --git a/packages/examples/cvat/recording-oracle/pyproject.toml b/packages/examples/cvat/recording-oracle/pyproject.toml index c07840b9f1..eb7475b986 100644 --- a/packages/examples/cvat/recording-oracle/pyproject.toml +++ b/packages/examples/cvat/recording-oracle/pyproject.toml @@ -25,6 +25,7 @@ starlette = ">=0.40.0" # avoid the vulnerability with multipart/form-data cvat-sdk = "2.37.0" cryptography = "<44.0.0" # human-protocol-sdk -> pgpy dep requires cryptography < 45 human-protocol-sdk = "^7.3.1" +strenum = "^0.4.15" audio-qe = {path = "libs/audio_qe", develop = true} [tool.poetry.group.dev.dependencies] diff --git a/packages/examples/cvat/recording-oracle/src/core/manifest/shared.py b/packages/examples/cvat/recording-oracle/src/core/manifest/shared.py index 089429cc94..1a61fc3774 100644 --- a/packages/examples/cvat/recording-oracle/src/core/manifest/shared.py +++ b/packages/examples/cvat/recording-oracle/src/core/manifest/shared.py @@ -1,12 +1,11 @@ -from enum import Enum from typing import Annotated, Any, Literal from pydantic import BaseModel, Field, model_validator -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum -class BucketProviders(str, Enum): +class BucketProviders(StrEnum): aws = "AWS" gcs = "GCS" @@ -32,7 +31,7 @@ class GcsBucketUrl(BucketUrlBase, BaseModel): BucketUrl = Annotated[AwsBucketUrl | GcsBucketUrl, Field(discriminator="provider")] -class LabelTypes(str, Enum, metaclass=BetterEnumMeta): +class LabelTypes(StrEnum, metaclass=BetterEnumMeta): plain = "plain" skeleton = "skeleton" diff --git a/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py b/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py index 010cdd4c89..4f0e99c6b3 100644 --- a/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py +++ b/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py @@ -1,11 +1,10 @@ -from enum import Enum from typing import Any, Literal from pydantic import AnyUrl, BaseModel, ConfigDict, Field, model_validator from src.core.manifest.shared import BucketUrl, LabelInfo, LabelTypes from src.core.tasks import TaskTypes -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum class DataInfo(BaseModel): @@ -34,7 +33,7 @@ class DataInfo(BaseModel): """ -class TargetMetrics(str, Enum, metaclass=BetterEnumMeta): +class TargetMetrics(StrEnum, metaclass=BetterEnumMeta): accuracy = "accuracy" wer = "wer" cer = "cer" @@ -161,9 +160,7 @@ def parse_task_specific_params(cls, values: dict[str, Any]) -> dict[str, Any]: raise NotImplementedError details_cls = ( - AudioJobDetails - if job_type == TaskTypes.audio_transcription - else ImageJobDetails + AudioJobDetails if job_type == TaskTypes.audio_transcription else ImageJobDetails ) annotation["details"] = details_cls.model_validate(details) diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py index e89f27ab98..1f7c45f2c3 100644 --- a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/meta.py @@ -11,12 +11,11 @@ import io import time from datetime import timedelta -from enum import Enum from attrs import Factory, frozen from datumaro.util import dump_json, parse_json -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum CVAT_EXPORT_FORMAT = "Generic TSV 1.0" @@ -102,7 +101,7 @@ def parse_gt_tsv(data: bytes) -> list[InputGtRegion]: ] -class RegionKind(str, Enum, metaclass=BetterEnumMeta): +class RegionKind(StrEnum, metaclass=BetterEnumMeta): gt = "gt" # ground-truth honeypot region ds = "ds" # regular dataset region to annotate diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py index 1b5f12894d..3b0c91f272 100644 --- a/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/audio_transcription/spec.py @@ -1,7 +1,6 @@ from __future__ import annotations from datetime import timedelta -from enum import Enum from typing import TYPE_CHECKING from pydantic import AnyUrl, BaseModel, Field @@ -9,13 +8,13 @@ from src.core.manifest.shared import BucketUrl # noqa: TCH001 # runtime-needed by pydantic from src.core.manifest.v2 import TargetMetrics # noqa: TCH001 # runtime-needed by pydantic from src.core.tasks.errors import UnsupportedManifestError -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum if TYPE_CHECKING: from src.core.manifest.v2 import JobManifest -class NormalizerPreset(str, Enum, metaclass=BetterEnumMeta): +class NormalizerPreset(StrEnum, metaclass=BetterEnumMeta): basic = "basic" # universal Unicode + case + whitespace fold # Tier-1 language presets (BASIC plus per-language rules) en = "en" diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/types.py b/packages/examples/cvat/recording-oracle/src/core/tasks/types.py index 6912483e39..77e577b19e 100644 --- a/packages/examples/cvat/recording-oracle/src/core/tasks/types.py +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/types.py @@ -1,9 +1,8 @@ -from enum import Enum -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum -class TaskTypes(str, Enum, metaclass=BetterEnumMeta): +class TaskTypes(StrEnum, metaclass=BetterEnumMeta): image_label_binary = "image_label_binary" image_points = "image_points" image_boxes = "image_boxes" diff --git a/packages/examples/cvat/recording-oracle/src/core/types.py b/packages/examples/cvat/recording-oracle/src/core/types.py index 07f4b3e8aa..8716aa32b7 100644 --- a/packages/examples/cvat/recording-oracle/src/core/types.py +++ b/packages/examples/cvat/recording-oracle/src/core/types.py @@ -1,34 +1,34 @@ -from enum import Enum +from enum import IntEnum from src.core.config import Config -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum -class Networks(int, Enum): +class Networks(IntEnum): polygon_mainnet = Config.polygon_mainnet.chain_id polygon_amoy = Config.polygon_amoy.chain_id localhost = Config.localhost.chain_id -class OracleWebhookTypes(str, Enum, metaclass=BetterEnumMeta): +class OracleWebhookTypes(StrEnum, metaclass=BetterEnumMeta): exchange_oracle = "exchange_oracle" recording_oracle = "recording_oracle" reputation_oracle = "reputation_oracle" -class OracleWebhookStatuses(str, Enum, metaclass=BetterEnumMeta): +class OracleWebhookStatuses(StrEnum, metaclass=BetterEnumMeta): pending = "pending" completed = "completed" failed = "failed" -class ExchangeOracleEventTypes(str, Enum, metaclass=BetterEnumMeta): +class ExchangeOracleEventTypes(StrEnum, metaclass=BetterEnumMeta): escrow_failed = "escrow_failed" job_finished = "job_finished" escrow_cleaned = "escrow_cleaned" escrow_recorded = "escrow_recorded" -class RecordingOracleEventTypes(str, Enum, metaclass=BetterEnumMeta): +class RecordingOracleEventTypes(StrEnum, metaclass=BetterEnumMeta): job_completed = "job_completed" submission_rejected = "submission_rejected" diff --git a/packages/examples/cvat/recording-oracle/src/services/webhook.py b/packages/examples/cvat/recording-oracle/src/services/webhook.py index 014c4651cd..1d04744b6d 100644 --- a/packages/examples/cvat/recording-oracle/src/services/webhook.py +++ b/packages/examples/cvat/recording-oracle/src/services/webhook.py @@ -1,7 +1,6 @@ import datetime import uuid from collections.abc import Sequence -from enum import Enum from attrs import define from sqlalchemy import case, update @@ -14,11 +13,11 @@ from src.db.utils import ForUpdateParams from src.db.utils import maybe_for_update as _maybe_for_update from src.models.webhook import Webhook -from src.utils.enums import BetterEnumMeta +from src.utils.enums import BetterEnumMeta, StrEnum from src.utils.time import utcnow -class OracleWebhookDirectionTags(str, Enum, metaclass=BetterEnumMeta): +class OracleWebhookDirectionTags(StrEnum, metaclass=BetterEnumMeta): incoming = "incoming" outgoing = "outgoing" diff --git a/packages/examples/cvat/recording-oracle/src/utils/enums.py b/packages/examples/cvat/recording-oracle/src/utils/enums.py index d4c133b0e5..b069d48158 100644 --- a/packages/examples/cvat/recording-oracle/src/utils/enums.py +++ b/packages/examples/cvat/recording-oracle/src/utils/enums.py @@ -1,5 +1,12 @@ from enum import EnumMeta +from strenum import StrEnum # added in python 3.11 + +__all__ = [ + "BetterEnumMeta", + "StrEnum", +] + class BetterEnumMeta(EnumMeta): """ From 2102b7c94629c358260f5e9eff334b4ca72030e4 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 14 Jul 2026 18:07:17 +0300 Subject: [PATCH 40/53] fix rebase --- .../cvat/recording-oracle/dockerfiles/test.ci.Dockerfile | 2 ++ .../cvat/recording-oracle/dockerfiles/test.dev.Dockerfile | 2 ++ .../tests/integration/services/test_validation_service.py | 5 ++++- 3 files changed, 8 insertions(+), 1 deletion(-) diff --git a/packages/examples/cvat/recording-oracle/dockerfiles/test.ci.Dockerfile b/packages/examples/cvat/recording-oracle/dockerfiles/test.ci.Dockerfile index 1c39e52f2a..fb45f64890 100644 --- a/packages/examples/cvat/recording-oracle/dockerfiles/test.ci.Dockerfile +++ b/packages/examples/cvat/recording-oracle/dockerfiles/test.ci.Dockerfile @@ -8,6 +8,8 @@ RUN apt-get update -y && \ RUN pip install --no-cache 'poetry==1.8.5' +COPY libs ./libs + COPY pyproject.toml poetry.lock ./ RUN --mount=type=cache,target=/root/.cache \ diff --git a/packages/examples/cvat/recording-oracle/dockerfiles/test.dev.Dockerfile b/packages/examples/cvat/recording-oracle/dockerfiles/test.dev.Dockerfile index fe1143c473..6c8a6017eb 100644 --- a/packages/examples/cvat/recording-oracle/dockerfiles/test.dev.Dockerfile +++ b/packages/examples/cvat/recording-oracle/dockerfiles/test.dev.Dockerfile @@ -11,6 +11,8 @@ RUN apt-get update -y && \ RUN pip install --no-cache 'poetry==1.8.5' +COPY libs ./libs + COPY pyproject.toml poetry.lock ./ RUN --mount=type=cache,target=/root/.cache \ diff --git a/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py b/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py index 6531a526f1..cbd185026b 100644 --- a/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py +++ b/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py @@ -1176,7 +1176,9 @@ def patched_prepare_merged_dataset(self): with ( # base downloads the exchange-oracle result file; the merger (image) downloads GT mock.patch("src.handlers.completion.task_exporters.base.BucketAccessInfo.parse_obj"), - mock.patch("src.handlers.completion.task_exporters.base.make_cloud_client"), + mock.patch( + "src.handlers.completion.task_exporters.base.make_cloud_client" + ) as mock_base_make_cloud_client, mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj"), mock.patch( "src.handlers.completion.task_exporters.image.make_cloud_client" @@ -1190,6 +1192,7 @@ def patched_prepare_merged_dataset(self): ), ): mock_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") + mock_base_make_cloud_client.return_value.download_file = mock.Mock(return_value=b"") annotation_meta = AnnotationMeta( jobs=[ From a0dde057ecfa8302c6192488623c3edec157e8cc Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 14 Jul 2026 18:09:03 +0300 Subject: [PATCH 41/53] remove extra files --- .../tests/unit/helpers/__init__.py | 0 .../unit/helpers/predefined_annotations.py | 36 ------------------- 2 files changed, 36 deletions(-) delete mode 100644 packages/examples/cvat/exchange-oracle/tests/unit/helpers/__init__.py delete mode 100644 packages/examples/cvat/exchange-oracle/tests/unit/helpers/predefined_annotations.py diff --git a/packages/examples/cvat/exchange-oracle/tests/unit/helpers/__init__.py b/packages/examples/cvat/exchange-oracle/tests/unit/helpers/__init__.py deleted file mode 100644 index e69de29bb2..0000000000 diff --git a/packages/examples/cvat/exchange-oracle/tests/unit/helpers/predefined_annotations.py b/packages/examples/cvat/exchange-oracle/tests/unit/helpers/predefined_annotations.py deleted file mode 100644 index 657b695e76..0000000000 --- a/packages/examples/cvat/exchange-oracle/tests/unit/helpers/predefined_annotations.py +++ /dev/null @@ -1,36 +0,0 @@ -raw_binary_annotations = { - "image": [ - {"name": "1.jpg", "tag": {"label": "dummy_label"}}, - {"name": "2.jpg", "tag": {"label": "dummy_label"}}, - {"name": "3.jpg", "tag": {"label": "dummy_label"}}, - ] -} -binary_annotations = [ - { - "url": "https://test.storage.googleapis.com/1.jpg", - "answers": [ - { - "tag": "dummy_label", - "assignee": "0x86e83d346041E8806e352681f3F14549C0d2BC61", - } - ], - }, - { - "url": "https://test.storage.googleapis.com/2.jpg", - "answers": [ - { - "tag": "dummy_label", - "assignee": "0x86e83d346041E8806e352681f3F14549C0d2BC61", - } - ], - }, - { - "url": "https://test.storage.googleapis.com/3.jpg", - "answers": [ - { - "tag": "dummy_label", - "assignee": "0x86e83d346041E8806e352681f3F14549C0d2BC61", - } - ], - }, -] From 0254d27324a9d09e8a7dd9a3c7b1355f3309651f Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 14 Jul 2026 19:07:14 +0300 Subject: [PATCH 42/53] Fix minio version conflict with boto3, https://github.com/minio/minio/issues/20845 --- packages/examples/cvat/exchange-oracle/docker-compose.test.yml | 2 +- packages/examples/cvat/recording-oracle/docker-compose.test.yml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/docker-compose.test.yml b/packages/examples/cvat/exchange-oracle/docker-compose.test.yml index ba527df3bc..1943955b12 100644 --- a/packages/examples/cvat/exchange-oracle/docker-compose.test.yml +++ b/packages/examples/cvat/exchange-oracle/docker-compose.test.yml @@ -28,7 +28,7 @@ services: minio: container_name: minio - image: minio/minio:RELEASE.2022-05-26T05-48-41Z + image: quay.io/minio/minio:RELEASE.2025-09-07T16-13-09Z ports: - 9001:9001 - 9000:9000 diff --git a/packages/examples/cvat/recording-oracle/docker-compose.test.yml b/packages/examples/cvat/recording-oracle/docker-compose.test.yml index 526fb2b7d0..c490cfcaa9 100644 --- a/packages/examples/cvat/recording-oracle/docker-compose.test.yml +++ b/packages/examples/cvat/recording-oracle/docker-compose.test.yml @@ -13,7 +13,7 @@ services: minio: container_name: minio - image: minio/minio:RELEASE.2022-05-26T05-48-41Z + image: minio/minio:RELEASE.2025-09-07T16-13-09Z environment: MINIO_ROOT_USER: dev MINIO_ROOT_PASSWORD: devdevdev From 27ff8b05dab7b6b7ca80a25083e22154f177b643 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 14 Jul 2026 19:23:40 +0300 Subject: [PATCH 43/53] Fix tests, add audio task creation tests --- .../exchange-oracle/src/core/manifest/v2.py | 3 + .../cloud/manifests/audio_manifest.json | 28 ++ .../tests/unit/test_audio_task_creation.py | 291 ++++++++++++++++++ .../recording-oracle/src/core/manifest/v2.py | 3 + 4 files changed, 325 insertions(+) create mode 100644 packages/examples/cvat/exchange-oracle/tests/assets/cloud/manifests/audio_manifest.json create mode 100644 packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py diff --git a/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py index 4f0e99c6b3..228986d72f 100644 --- a/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py +++ b/packages/examples/cvat/exchange-oracle/src/core/manifest/v2.py @@ -1,3 +1,4 @@ +from copy import deepcopy from typing import Any, Literal from pydantic import AnyUrl, BaseModel, ConfigDict, Field, model_validator @@ -139,6 +140,8 @@ def parse_task_specific_params(cls, values: dict[str, Any]) -> dict[str, Any]: if not isinstance(values, dict): raise NotImplementedError + values = deepcopy(values) # copy before mutating + job_type = values.get("job_type") annotation = values.get("annotation") diff --git a/packages/examples/cvat/exchange-oracle/tests/assets/cloud/manifests/audio_manifest.json b/packages/examples/cvat/exchange-oracle/tests/assets/cloud/manifests/audio_manifest.json new file mode 100644 index 0000000000..9818e2d1a7 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/tests/assets/cloud/manifests/audio_manifest.json @@ -0,0 +1,28 @@ +{ + "version": 2, + "job_type": "audio_transcription", + "data": { + "media_url": "placeholder", + "regions_url": "placeholder", + "gt_url": "placeholder" + }, + "annotation": { + "description": "Audio transcription task", + "user_guide_url": "https://localhost/audio-transcription-guide.md", + "labels": [{ "name": "speech" }], + "shared_attributes": [], + "validation": { + "target_score": 0.5, + "target_metric": "wer" + }, + "qualifications": [], + "details": { + "max_time": 1800, + "normalizer": "basic", + "max_segment_duration": 120, + "min_gt_span_duration": 20, + "min_composition": { "gt": 2, "ds": 2 }, + "validation_overhead": 20 + } + } +} diff --git a/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py b/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py new file mode 100644 index 0000000000..e61b83b4b6 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py @@ -0,0 +1,291 @@ +import json +import subprocess +from pathlib import Path +from unittest.mock import Mock, patch + +import pytest + +import src.services.cvat as db_service +from src.core.config import Config +from src.core.manifest import parse_manifest +from src.core.storage import compose_data_bucket_prefix +from src.core.tasks import TaskTypes +from src.core.tasks.audio_transcription.meta import ( + RegionKind, + TaskMetaLayout, + TaskMetaSerializer, + parse_gt_tsv, +) +from src.core.types import Networks, TaskStatuses +from src.handlers.job_creation import handlers +from src.handlers.job_creation.builders.audio.transcription import _parse_regions_tsv +from src.services.cloud.utils import BucketAccessInfo, make_client + +from tests.utils.constants import ESCROW_ADDRESS +from tests.utils.setup_cvat import get_session + +CHAIN_ID = Networks.localhost.value + +MANIFEST_PATH = "tests/assets/cloud/manifests/audio_manifest.json" + + +def _ts(seconds: float) -> str: + """Render seconds as an ``H:MM:SS.ffffff`` timestamp (the region/GT TSV format).""" + h = int(seconds // 3600) + m = int((seconds % 3600) // 60) + s = seconds - h * 3600 - m * 60 + return f"{h}:{m:02d}:{s:09.6f}" + + +def _generate_wav(path: Path, *, duration_s: int) -> None: + """Synthesize a mono sine-tone WAV on the fly (ffmpeg is present in the test image).""" + subprocess.run( + [ + "ffmpeg", + "-y", + "-loglevel", + "error", + "-f", + "lavfi", + "-i", + f"sine=frequency=440:duration={duration_s}", + "-ar", + "48000", + "-ac", + "1", + str(path), + ], + check=True, + ) + + +def _make_bucket_url(path: str, *, bucket_name: str) -> dict: + cfg = Config.storage_config + + return { + "provider": cfg.provider.upper(), + "host_url": f"{cfg.get_scheme()}{cfg.endpoint_url}", + "bucket_name": bucket_name, + "path": path, + "access_key": cfg.access_key, + "secret_key": cfg.secret_key, + } + + +@pytest.fixture +def fxt_audio_transcription_input(tmp_path: Path): + """Factory: generate the media recordings + region/GT TSVs, upload them to the input bucket, and + return a manifest whose data URLs embed the minio connection details. The region/GT layout is + caller-provided so tests exercising different assignment counts can reuse this.""" + + input_bucket = "datasets" + input_prefix = "audio_test" + + media_duration_s = 120 + ds_len = 10.0 + ds_rois = { + "audio1.wav": [30.0, 45.0, 60.0, 75.0], + "audio2.wav": [30.0, 45.0, 60.0], + "audio3.wav": [10.0, 25.0, 40.0, 55.0], + "audio4.wav": [10.0, 25.0, 40.0], + "audio5.wav": [10.0, 25.0], + } + ds_rois_tsv = "filename\tstart\tstop\tlabel\n" + "".join( + f"{filename}\t{_ts(start)}\t{_ts(start + ds_len)}\tspeech\n" + for filename, starts in ds_rois.items() + for start in starts + ) + media_files = list(ds_rois) + + # 3 GT spans (the honeypot source) with 1, 2 and 3 regions respectively. Each span covers + # >= min_gt_span_duration=20s (first region start .. last region stop), and all sit after their + # recording's DS regions so GT and DS stay disjoint. + gt_rois = [ + ("s1", "audio1.wav", [(90.0, 112.0)]), + ("s2", "audio2.wav", [(90.0, 98.0), (106.0, 112.0)]), + ("s3", "audio3.wav", [(80.0, 86.0), (92.0, 98.0), (104.0, 110.0)]), + ] + gt_tsv = "filename\tstart\tstop\tlabel\ttext\tspan_id\n" + "".join( + f"{filename}\t{_ts(start)}\t{_ts(stop)}\tspeech\tgt {span_id} {roi_idx} text\t{span_id}\n" + for roi_idx, (span_id, filename, regions) in enumerate(gt_rois) + for start, stop in regions + ) + + with open(MANIFEST_PATH) as f: + manifest = json.load(f) + + manifest["data"] = { + "media_url": _make_bucket_url(f"{input_prefix}/media", bucket_name=input_bucket), + "regions_url": _make_bucket_url(f"{input_prefix}/regions.tsv", bucket_name=input_bucket), + "gt_url": _make_bucket_url(f"{input_prefix}/gt.tsv", bucket_name=input_bucket), + } + + try: + client = make_client(BucketAccessInfo.parse_obj(parse_manifest(manifest).data.media_url)) + for filename in media_files: + wav_path = tmp_path / filename + _generate_wav(wav_path, duration_s=media_duration_s) + client.create_file(f"{input_prefix}/media/{filename}", wav_path.read_bytes()) + + client.create_file(f"{input_prefix}/regions.tsv", ds_rois_tsv.encode()) + client.create_file(f"{input_prefix}/gt.tsv", gt_tsv.encode()) + + yield manifest, ds_rois_tsv, gt_tsv + finally: + client.remove_files(prefix=input_prefix) + + +def _make_cvat_api_mock() -> Mock: + """A cvat_api stand-in returning integer ids so the DB inserts succeed, and a fresh + task id per create_task call so the unique cvat_id constraint holds.""" + cvat_api = Mock() + cvat_api.create_project.return_value = Mock(id=1) + cvat_api.create_cvat_webhook.return_value = Mock(id=10) + cvat_api.create_cloudstorage.return_value = Mock(id=100) + + task_ids = iter(range(1000, 2000)) + cvat_api.create_task.side_effect = lambda *_a, **_kw: Mock( + id=next(task_ids), status=TaskStatuses.annotation.value + ) + return cvat_api + + +def cleanup_oracle_bucket(prefix: str = "/"): + storage_client = make_client(BucketAccessInfo.parse_obj(Config.storage_config)) + storage_client.remove_files(prefix=prefix) + + +@pytest.fixture +def post_cleanup_oracle_bucket(): + yield + cleanup_oracle_bucket() + + +@pytest.fixture +def pre_cleanup_oracle_bucket(): + cleanup_oracle_bucket() + + +@pytest.mark.usefixtures("pre_cleanup_oracle_bucket") +@pytest.mark.usefixtures("post_cleanup_oracle_bucket") +def test_create_audio_transcription_task(fxt_audio_transcription_input): + manifest, ds_rois_tsv, gt_tsv = fxt_audio_transcription_input + + cvat_api = _make_cvat_api_mock() + with ( + patch.object(handlers, "get_escrow_manifest", return_value=manifest), + patch("src.handlers.job_creation.builders.audio.transcription.cvat_api", cvat_api), + ): + handlers.create_task(ESCROW_ADDRESS, CHAIN_ID) + + # Check CVAT API calls + cvat_api.create_project.assert_called_once() + cvat_api.create_cvat_webhook.assert_called_once() + cvat_api.create_cloudstorage.assert_called_once() + + assignment_count = cvat_api.create_task.call_count + assert assignment_count == 4 + assert cvat_api.put_task_data.call_count == assignment_count + + # Check DB records + with get_session() as session: + project = db_service.get_project_by_escrow_address(session, ESCROW_ADDRESS) + assert project is not None + assert project.cvat_id == 1 + assert project.cvat_webhook_id == 10 + assert project.cvat_cloudstorage_id == 100 + assert project.job_type == TaskTypes.audio_transcription.value + assert project.chain_id == CHAIN_ID + + tasks = db_service.get_tasks_by_cvat_project_id(session, project.cvat_id) + assert len(tasks) == assignment_count + + # create_task only registers the escrow creation; it is finished later by the cron once + # CVAT confirms the jobs, so it is still active (finished_at is None) at this point. + escrow_creation = db_service.get_escrow_creation_by_escrow_address( + session, ESCROW_ADDRESS, CHAIN_ID, active=True + ) + assert escrow_creation.total_jobs == assignment_count + + # Check oracle bucket + storage_client = make_client(BucketAccessInfo.parse_obj(Config.storage_config)) + storage_prefix = compose_data_bucket_prefix(ESCROW_ADDRESS, CHAIN_ID) + storage_keys = set(storage_client.list_files(prefix=storage_prefix, trim_prefix=True)) + + layout = TaskMetaLayout() + clips = [k for k in storage_keys if k.startswith(f"{layout.CLIPS_DIR}/") and k.endswith(".wav")] + assert len(clips) == assignment_count + + for meta_file in ( + layout.REGIONS_TSV_FILENAME, + layout.GT_FILENAME, + layout.REGIONS_FILENAME, + layout.CLIPS_FILENAME, + layout.TASK_CLIPS_FILENAME, + ): + assert meta_file in storage_keys, f"missing {meta_file} in {sorted(storage_keys)}" + + # task_clips maps each created CVAT task id to its assignment clip id + task_clips = json.loads( + storage_client.download_file(f"{storage_prefix}/{layout.TASK_CLIPS_FILENAME}") + ) + assert len(task_clips) == assignment_count + + # Verify the input regions & GT were consumed as expected + + # The raw region/GT TSVs are copied verbatim to the oracle bucket for provenance. + assert ( + storage_client.download_file(f"{storage_prefix}/{layout.REGIONS_TSV_FILENAME}").decode() + == ds_rois_tsv + ) + assert storage_client.download_file(f"{storage_prefix}/{layout.GT_FILENAME}").decode() == gt_tsv + + # Expected input ROI ids, reconstructed from the fixture TSVs with the production parsers. + regions_by_file = _parse_regions_tsv(ds_rois_tsv.encode()) + input_media = set(regions_by_file) + expected_ds_ids = sorted(r.id for regions in regions_by_file.values() for r in regions) + + gt_rois = parse_gt_tsv(gt_tsv.encode()) + expected_gt_ids = {r.id for r in gt_rois} + span_by_gt_id = {r.id: r.span_id for r in gt_rois} + + serializer = TaskMetaSerializer() + presented = serializer.parse_regions( + storage_client.download_file(f"{storage_prefix}/{layout.REGIONS_FILENAME}") + ) + ds_regions = [r for r in presented if r.kind == RegionKind.ds] + gt_regions = [r for r in presented if r.kind == RegionKind.gt] + + # Presented regions reference only the input media + assert {r.source_filename for r in presented} <= input_media + + # Every input DS ROI is presented for annotation exactly once + presented_ds_ids = [region_id for r in ds_regions for region_id in r.input_ids] + assert sorted(presented_ds_ids) == expected_ds_ids + + # val_fraction=1.0 -> all GT regions become honeypots, each used once, bundled within one span + presented_gt_ids = [region_id for r in gt_regions for region_id in r.input_ids] + assert sorted(presented_gt_ids) == sorted(expected_gt_ids) + for r in gt_regions: + assert len({span_by_gt_id[region_id] for region_id in r.input_ids}) == 1 + + # Verify the assignment composition + clips = serializer.parse_clips( + storage_client.download_file(f"{storage_prefix}/{layout.CLIPS_FILENAME}") + ) + assert len(clips) == assignment_count + + placed_ds_ids: list[str] = [] + placed_gt_ids: list[str] = [] + for clip in clips: + kinds = {p.kind for p in clip.placed} + assert RegionKind.ds in kinds, "assignment has no DS work" + assert RegionKind.gt in kinds, "assignment has no GT honeypot" + for p in clip.placed: + (placed_ds_ids if p.kind == RegionKind.ds else placed_gt_ids).extend(p.input_ids) + + # Each DS ROI is annotated exactly once across all assignments. + assert sorted(placed_ds_ids) == expected_ds_ids + # Honeypots are drawn from the presented GT pool (and may repeat across assignments). + assert placed_gt_ids + assert set(placed_gt_ids) <= expected_gt_ids diff --git a/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py b/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py index 4f0e99c6b3..228986d72f 100644 --- a/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py +++ b/packages/examples/cvat/recording-oracle/src/core/manifest/v2.py @@ -1,3 +1,4 @@ +from copy import deepcopy from typing import Any, Literal from pydantic import AnyUrl, BaseModel, ConfigDict, Field, model_validator @@ -139,6 +140,8 @@ def parse_task_specific_params(cls, values: dict[str, Any]) -> dict[str, Any]: if not isinstance(values, dict): raise NotImplementedError + values = deepcopy(values) # copy before mutating + job_type = values.get("job_type") annotation = values.get("annotation") From c0d87773a6ba15a7b351a2bb52c9e2811404bf1c Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 14 Jul 2026 20:46:04 +0300 Subject: [PATCH 44/53] cleanup --- .../recording-oracle/docker-compose.test.yml | 3 + .../recording-oracle/src/core/tasks/types.py | 1 - .../completion/task_exporters/audio.py | 4 +- .../validation/quality_checkers/audio.py | 5 +- .../services/test_validation_service.py | 60 +++- .../recording-oracle/tests/unit/conftest.py | 7 - .../tests/utils/intermediate-results.json | 29 -- .../utils/recording_oracle_dummy_input.json | 321 ------------------ 8 files changed, 51 insertions(+), 379 deletions(-) delete mode 100644 packages/examples/cvat/recording-oracle/tests/unit/conftest.py delete mode 100644 packages/examples/cvat/recording-oracle/tests/utils/intermediate-results.json delete mode 100644 packages/examples/cvat/recording-oracle/tests/utils/recording_oracle_dummy_input.json diff --git a/packages/examples/cvat/recording-oracle/docker-compose.test.yml b/packages/examples/cvat/recording-oracle/docker-compose.test.yml index c490cfcaa9..98aa584c28 100644 --- a/packages/examples/cvat/recording-oracle/docker-compose.test.yml +++ b/packages/examples/cvat/recording-oracle/docker-compose.test.yml @@ -14,6 +14,9 @@ services: minio: container_name: minio image: minio/minio:RELEASE.2025-09-07T16-13-09Z + ports: + - 9001:9001 + - 9000:9000 environment: MINIO_ROOT_USER: dev MINIO_ROOT_PASSWORD: devdevdev diff --git a/packages/examples/cvat/recording-oracle/src/core/tasks/types.py b/packages/examples/cvat/recording-oracle/src/core/tasks/types.py index 77e577b19e..0c65e58bcb 100644 --- a/packages/examples/cvat/recording-oracle/src/core/tasks/types.py +++ b/packages/examples/cvat/recording-oracle/src/core/tasks/types.py @@ -1,4 +1,3 @@ - from src.utils.enums import BetterEnumMeta, StrEnum diff --git a/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/audio.py b/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/audio.py index b16c51e137..9e6b01e1ee 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/audio.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/completion/task_exporters/audio.py @@ -66,9 +66,7 @@ def _build_merged_tsv(self) -> bytes: rows.sort(key=lambda r: (r["filename"], parse_time(r["start"]).total_seconds())) buffer = io.StringIO() - writer = csv.DictWriter( - buffer, fieldnames=columns, delimiter="\t", extrasaction="ignore" - ) + writer = csv.DictWriter(buffer, fieldnames=columns, delimiter="\t", extrasaction="ignore") writer.writeheader() for global_id, row in enumerate(rows): writer.writerow({**{c: "" for c in columns}, **row, "id": global_id}) diff --git a/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py index 27320ed9a2..fdfb29e093 100644 --- a/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py +++ b/packages/examples/cvat/recording-oracle/src/handlers/validation/quality_checkers/audio.py @@ -71,7 +71,7 @@ class AudioTaskQualityChecker(TaskQualityChecker): "granularity": Granularity.CHARACTER, "align": AlignMode.CHAR, "metric": Metric.EQUALITY, - } + }, } def _validate_jobs(self) -> None: @@ -81,8 +81,7 @@ def _validate_jobs(self) -> None: if metric not in self.ALLOWED_METRICS: raise NotImplementedError( "Audio transcription validation only supports {} metrics, got '{}'".format( - ', '.join(v.value for v in self.ALLOWED_METRICS), - metric.value + ", ".join(v.value for v in self.ALLOWED_METRICS), metric.value ) ) diff --git a/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py b/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py index cbd185026b..dc85dfe0ad 100644 --- a/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py +++ b/packages/examples/cvat/recording-oracle/tests/integration/services/test_validation_service.py @@ -129,7 +129,9 @@ def test_can_handle_lowered_quality_requirements_in_manifest(self, session: Sess logger = mock.Mock(Logger) common_lock_es.enter_context( - mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj") + mock.patch( + "src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj" + ) ) common_lock_es.enter_context( @@ -156,7 +158,9 @@ def test_can_handle_lowered_quality_requirements_in_manifest(self, session: Sess ) mock_get_task_data_meta = common_lock_es.enter_context( - mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta") + mock.patch( + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta" + ) ) mock_get_task_data_meta.return_value = mock.Mock( cvat_api.models.IDataMetaRead, @@ -164,7 +168,9 @@ def test_can_handle_lowered_quality_requirements_in_manifest(self, session: Sess ) mock_get_task_labels = common_lock_es.enter_context( - mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_labels") + mock.patch( + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_labels" + ) ) mock_get_task_labels.return_value = [label.name for label in manifest.annotation.labels] @@ -333,7 +339,9 @@ def test_can_change_bad_honeypots_in_jobs(self, session: Session, seed: int): logger = mock.Mock(Logger) common_lock_es.enter_context( - mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj") + mock.patch( + "src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj" + ) ) mock_make_cloud_client = common_lock_es.enter_context( @@ -357,7 +365,9 @@ def test_can_change_bad_honeypots_in_jobs(self, session: Session, seed: int): ) mock_get_task_data_meta = common_lock_es.enter_context( - mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta") + mock.patch( + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta" + ) ) mock_get_task_data_meta.return_value = mock.Mock( cvat_api.models.IDataMetaRead, @@ -365,7 +375,9 @@ def test_can_change_bad_honeypots_in_jobs(self, session: Session, seed: int): ) mock_get_task_labels = common_lock_es.enter_context( - mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_labels") + mock.patch( + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_labels" + ) ) mock_get_task_labels.return_value = [label.name for label in manifest.annotation.labels] @@ -568,7 +580,9 @@ def test_can_stop_on_slow_annotation_after_warmup_iterations(self, session: Sess logger = mock.Mock(Logger) common_lock_es.enter_context( - mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj") + mock.patch( + "src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj" + ) ) mock_make_cloud_client = common_lock_es.enter_context( @@ -591,7 +605,9 @@ def test_can_stop_on_slow_annotation_after_warmup_iterations(self, session: Sess ) mock_get_task_data_meta = common_lock_es.enter_context( - mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta") + mock.patch( + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta" + ) ) mock_get_task_data_meta.return_value = mock.Mock( cvat_api.models.IDataMetaRead, @@ -599,7 +615,9 @@ def test_can_stop_on_slow_annotation_after_warmup_iterations(self, session: Sess ) mock_get_task_labels = common_lock_es.enter_context( - mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_labels") + mock.patch( + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_labels" + ) ) mock_get_task_labels.return_value = [label.name for label in manifest.annotation.labels] @@ -685,7 +703,9 @@ def test_can_exclude_bad_gt_for_each_label_separately(self, session: Session): logger = mock.Mock(Logger) common_lock_es.enter_context( - mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj") + mock.patch( + "src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj" + ) ) mock_make_cloud_client = common_lock_es.enter_context( @@ -710,7 +730,9 @@ def test_can_exclude_bad_gt_for_each_label_separately(self, session: Session): # All tasks have the same frames mock_get_task_data_meta = common_lock_es.enter_context( - mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta") + mock.patch( + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta" + ) ) mock_get_task_data_meta.return_value = mock.Mock( cvat_api.models.IDataMetaRead, @@ -866,7 +888,9 @@ def test_can_complete_if_not_enough_gt_left_in_task_with_several_jobs( logger = logging.getLogger() common_lock_es.enter_context( - mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj") + mock.patch( + "src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj" + ) ) mock_make_cloud_client = common_lock_es.enter_context( @@ -891,7 +915,9 @@ def test_can_complete_if_not_enough_gt_left_in_task_with_several_jobs( # All tasks have the same frames mock_get_task_data_meta = common_lock_es.enter_context( - mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta") + mock.patch( + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta" + ) ) mock_get_task_data_meta.return_value = mock.Mock( cvat_api.models.IDataMetaRead, @@ -1020,7 +1046,9 @@ def test_can_complete_if_not_enough_gt_left_in_task_with_one_job( logger = logging.getLogger() common_lock_es.enter_context( - mock.patch("src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj") + mock.patch( + "src.handlers.completion.task_exporters.image.BucketAccessInfo.parse_obj" + ) ) mock_make_cloud_client = common_lock_es.enter_context( @@ -1045,7 +1073,9 @@ def test_can_complete_if_not_enough_gt_left_in_task_with_one_job( # All tasks have the same frames mock_get_task_data_meta = common_lock_es.enter_context( - mock.patch("src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta") + mock.patch( + "src.handlers.validation.quality_checkers.image.cvat_api.get_task_data_meta" + ) ) mock_get_task_data_meta.return_value = mock.Mock( cvat_api.models.IDataMetaRead, diff --git a/packages/examples/cvat/recording-oracle/tests/unit/conftest.py b/packages/examples/cvat/recording-oracle/tests/unit/conftest.py deleted file mode 100644 index e83292c355..0000000000 --- a/packages/examples/cvat/recording-oracle/tests/unit/conftest.py +++ /dev/null @@ -1,7 +0,0 @@ -import pytest - - -@pytest.fixture(autouse=True) -def db(): - # Override the root autouse DB fixture: unit tests here need no database. - yield diff --git a/packages/examples/cvat/recording-oracle/tests/utils/intermediate-results.json b/packages/examples/cvat/recording-oracle/tests/utils/intermediate-results.json deleted file mode 100644 index c0bf2a08c2..0000000000 --- a/packages/examples/cvat/recording-oracle/tests/utils/intermediate-results.json +++ /dev/null @@ -1,29 +0,0 @@ -[ - { - "answers": [ - { - "assignee": "0x1234567890123456789012345678901234567890", - "tag": "dummy_label" - } - ], - "url": "https://test.storage.googleapis.com/1.jpg" - }, - { - "answers": [ - { - "assignee": "0x1234567890123456789012345678901234567890", - "tag": "dummy_label" - } - ], - "url": "https://test.storage.googleapis.com/2.jpg" - }, - { - "answers": [ - { - "assignee": "0x1234567890123456789012345678901234567890", - "tag": "dummy_label" - } - ], - "url": "https://test.storage.googleapis.com/3.jpg" - } -] diff --git a/packages/examples/cvat/recording-oracle/tests/utils/recording_oracle_dummy_input.json b/packages/examples/cvat/recording-oracle/tests/utils/recording_oracle_dummy_input.json deleted file mode 100644 index 872bc46ac6..0000000000 --- a/packages/examples/cvat/recording-oracle/tests/utils/recording_oracle_dummy_input.json +++ /dev/null @@ -1,321 +0,0 @@ -[ - { - "answers": [ - { - "assignee": "0x0755D4d722a4a201c1C5A4B5E614D913e7747b36", - "tag": "" - }, - { - "assignee": 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"0x0755D4d722a4a201c1C5A4B5E614D913e7747b36", - "tag": "" - }, - { - "assignee": "0x0755D4d722a4a201c1C5A4B5E614D913e7747b37", - "tag": "" - }, - { - "assignee": "0x0755D4d722a4a201c1C5A4B5E614D913e7747b38", - "tag": "dummy_label" - } - ], - "url": "https://test.storage.googleapis.com/19.png" - } -] \ No newline at end of file From 4aba5b1fc22a39b8f71b3e77040067ed09afcb46 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 14 Jul 2026 21:01:18 +0300 Subject: [PATCH 45/53] test(cvat-audio): add audio task-creation and validation tests Exchange oracle: unit test for audio-transcription task creation, asserting that input regions/GT are consumed as expected and each assignment mixes DS work with GT honeypots. Recording oracle: validation tests (pass + fail) driving the full process_intermediate_results flow against a golden fixture captured from the real EO builder. A perfect submission scores WER 0.0 (success); an empty one scores 1.0 and is rejected (failure). Supporting changes: - tests/utils/audio_transcription.py: shared helpers, kept byte-identical across both oracles. - tests/assets/utils/gen_audio_validation_fixture.py: maintenance script that runs the real EO builder and vendors its output as the RO golden fixture; runnable in the test container and importable without the test env for docs. Co-Authored-By: Claude Opus 4.8 (1M context) --- .../examples/cvat/exchange-oracle/README.md | 34 ++++ .../cvat/exchange-oracle/pyproject.toml | 2 + .../cloud/manifests/audio_manifest.json | 8 +- .../utils/gen_audio_validation_fixture.py | 152 ++++++++++++++++ .../tests/unit/test_audio_task_creation.py | 49 ++---- .../tests/utils/audio_transcription.py | 108 ++++++++++++ .../cloud/audio_validation/assignments.json | 1 + .../assets/cloud/audio_validation/gt.tsv | 7 + .../cloud/audio_validation/manifest.json | 28 +++ .../cloud/audio_validation/task_clips.json | 1 + .../tests/unit/test_audio_validation.py | 162 ++++++++++++++++++ .../tests/utils/audio_transcription.py | 108 ++++++++++++ 12 files changed, 617 insertions(+), 43 deletions(-) create mode 100644 packages/examples/cvat/exchange-oracle/tests/assets/utils/gen_audio_validation_fixture.py create mode 100644 packages/examples/cvat/exchange-oracle/tests/utils/audio_transcription.py create mode 100644 packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/assignments.json create mode 100644 packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/gt.tsv create mode 100644 packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/manifest.json create mode 100644 packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/task_clips.json create mode 100644 packages/examples/cvat/recording-oracle/tests/unit/test_audio_validation.py create mode 100644 packages/examples/cvat/recording-oracle/tests/utils/audio_transcription.py diff --git a/packages/examples/cvat/exchange-oracle/README.md b/packages/examples/cvat/exchange-oracle/README.md index d0165e2a63..171880a651 100644 --- a/packages/examples/cvat/exchange-oracle/README.md +++ b/packages/examples/cvat/exchange-oracle/README.md @@ -115,3 +115,37 @@ docker compose -p "test" \ ``` The dev setup mounts the local directory to speed the things up. + +#### Regenerating the audio-validation fixture + +The recording oracle's audio-transcription validation test runs against a golden fixture — real +builder output (`gt.tsv`, `assignments.json`, `task_clips.json`, `manifest.json`) vendored under +`recording-oracle/tests/assets/cloud/audio_validation/`. Regenerate it whenever the builder output +layout or the shared audio task setup (`tests/utils/audio_transcription.py`) changes. + +The wrapper script `tests/assets/utils/gen_audio_validation_fixture.py` runs the real EO builder +once (against a mocked CVAT) and writes the fixture. Easiest is to run it inside the test-suite +container, which already has the env, minio and postgres — it overrides the service's `pytest` +command, applies migrations, and writes to a mounted output dir (the recording-oracle tree isn't +visible in the container, so mount it and pass its path): + +```sh +docker compose -p "test" \ + -f docker-compose.test.yml \ + -f docker-compose.test.head.yml \ + -f docker-compose.test.head.dev.yml \ + run --rm \ + -v "$(pwd)/../recording-oracle/tests/assets/cloud/audio_validation:/out" \ + test sh -c "alembic upgrade head && PYTHONPATH=. \ + python tests/assets/utils/gen_audio_validation_fixture.py /out" +``` + +To run it directly instead (against your own reachable minio + postgres, with the test-service env +exported and migrations applied): + +```sh +PYTHONPATH=. python tests/assets/utils/gen_audio_validation_fixture.py [OUTPUT_DIR] +``` + +`OUTPUT_DIR` defaults to the recording-oracle assets tree; pass a path to write elsewhere (e.g. a +scratch dir to diff before committing). diff --git a/packages/examples/cvat/exchange-oracle/pyproject.toml b/packages/examples/cvat/exchange-oracle/pyproject.toml index f1b82ac5f4..5dc9135894 100644 --- a/packages/examples/cvat/exchange-oracle/pyproject.toml +++ b/packages/examples/cvat/exchange-oracle/pyproject.toml @@ -142,6 +142,8 @@ ignore = [ ] # alembic is not a package in a traditional sense, so putting __init__.py there doesn't make sense "alembic/*" = ["INP001"] +# Standalone maintenance scripts: not importable packages (INP001) and print to stdout (T201). +"tests/assets/utils/*" = ["INP001", "T201"] "__init__.py" = ["F401"] [tool.ruff.lint.pep8-naming] diff --git a/packages/examples/cvat/exchange-oracle/tests/assets/cloud/manifests/audio_manifest.json b/packages/examples/cvat/exchange-oracle/tests/assets/cloud/manifests/audio_manifest.json index 9818e2d1a7..1b72a7f8cb 100644 --- a/packages/examples/cvat/exchange-oracle/tests/assets/cloud/manifests/audio_manifest.json +++ b/packages/examples/cvat/exchange-oracle/tests/assets/cloud/manifests/audio_manifest.json @@ -2,13 +2,13 @@ "version": 2, "job_type": "audio_transcription", "data": { - "media_url": "placeholder", - "regions_url": "placeholder", - "gt_url": "placeholder" + "media_url": "https://invalid/", + "regions_url": "https://invalid/", + "gt_url": "https://invalid/" }, "annotation": { "description": "Audio transcription task", - "user_guide_url": "https://localhost/audio-transcription-guide.md", + "user_guide_url": "https://invalid/audio-transcription-guide.md", "labels": [{ "name": "speech" }], "shared_attributes": [], "validation": { diff --git a/packages/examples/cvat/exchange-oracle/tests/assets/utils/gen_audio_validation_fixture.py b/packages/examples/cvat/exchange-oracle/tests/assets/utils/gen_audio_validation_fixture.py new file mode 100644 index 0000000000..79c0cc4b13 --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/tests/assets/utils/gen_audio_validation_fixture.py @@ -0,0 +1,152 @@ +"""Regenerate the recording-oracle audio-validation fixture. + +Recording Oracle validates audio-transcription assignments against the metadata the exchange oracle +produces during task creation. + +Run this script whenever the builder output layout or the shared audio task setup +(``tests.utils.audio_transcription``) changes. + +Easiest is to run it inside the test suite container. It reuses the test service, and writes the +fixture to a mounted output dir. Call from the exchange-oracle dir: + + docker compose -p test \ + -f docker-compose.test.yml \\ -f docker-compose.test.head.yml \\ -f + docker-compose.test.head.dev.yml \\ run --rm \\ -v + "$(pwd)/../recording-oracle/tests/assets/cloud/audio_validation:/out" \\ test sh -c "alembic + upgrade head && PYTHONPATH=. \ + python tests/assets/utils/gen_audio_validation_fixture.py /out" + +If you want to run it directly, launch the test services, export the same env vars the test service +sets (see docker-compose.test.head.yml), apply migrations (``alembic upgrade head``), then: + + PYTHONPATH=. python tests/assets/utils/gen_audio_validation_fixture.py [OUTPUT_DIR] +""" + +from __future__ import annotations + +import tempfile +from pathlib import Path + +INPUT_BUCKET = "datasets" +INPUT_PREFIX = "audio_validation_fixture" + +# The manifest the fixture is built from, vendored alongside it for the RO test. +MANIFEST_FILENAME = "manifest.json" + +# Default output: the RO assets tree, resolved relative to this file +# (exchange-oracle/tests/assets/utils/ -> recording-oracle/). Override with a positional arg. +DEFAULT_OUTPUT_DIR = ( + Path(__file__).resolve().parents[4] + / "recording-oracle" + / "tests" + / "assets" + / "cloud" + / "audio_validation" +) + + +def main(output_dir: Path = DEFAULT_OUTPUT_DIR) -> None: + # Imported lazily: src.core.config reads storage env vars at import time, so keeping these out + # of module scope lets --help / the docstring be read without the test-suite env defined. + import json + from unittest.mock import patch + + from src.core.config import Config + from src.core.manifest import parse_manifest + from src.core.storage import compose_data_bucket_filename, compose_data_bucket_prefix + from src.core.tasks.audio_transcription.meta import TaskMetaLayout + from src.core.types import Networks + from src.handlers.job_creation import handlers + from src.services.cloud.utils import BucketAccessInfo, make_client + + from tests.unit.test_audio_task_creation import ( + MANIFEST_PATH, + _generate_wav, + _make_bucket_url, + _make_cvat_api_mock, + ) + from tests.utils.audio_transcription import ( + MEDIA_DURATION_S, + MEDIA_FILES, + build_gt_tsv, + build_regions_tsv, + ) + from tests.utils.constants import ESCROW_ADDRESS + + chain_id = Networks.localhost.value + + # The builder-produced metadata the RO validation consumes. + fixture_files = ( + TaskMetaLayout.GT_FILENAME, + TaskMetaLayout.CLIPS_FILENAME, + TaskMetaLayout.TASK_CLIPS_FILENAME, + ) + + def data_url(name: str): + return _make_bucket_url(f"{INPUT_PREFIX}/{name}", bucket_name=INPUT_BUCKET) + + def build_manifest(): + with open(MANIFEST_PATH) as f: + manifest = json.load(f) + manifest["data"] = { + "media_url": data_url("media"), + "regions_url": data_url("regions.tsv"), + "gt_url": data_url("gt.tsv"), + } + return manifest + + def upload_input(tmp_dir: Path): + manifest = build_manifest() + client = make_client(BucketAccessInfo.parse_obj(parse_manifest(manifest).data.media_url)) + for filename in MEDIA_FILES: + wav_path = tmp_dir / filename + _generate_wav(wav_path, duration_s=MEDIA_DURATION_S) + client.create_file(f"{INPUT_PREFIX}/media/{filename}", wav_path.read_bytes()) + client.create_file(f"{INPUT_PREFIX}/regions.tsv", build_regions_tsv().encode()) + client.create_file(f"{INPUT_PREFIX}/gt.tsv", build_gt_tsv().encode()) + return manifest, client + + output_dir.mkdir(parents=True, exist_ok=True) + + with tempfile.TemporaryDirectory() as tmp: + manifest, input_client = upload_input(Path(tmp)) + + cvat_api = _make_cvat_api_mock() + with ( + patch.object(handlers, "get_escrow_manifest", return_value=manifest), + patch("src.handlers.job_creation.builders.audio.transcription.cvat_api", cvat_api), + ): + handlers.create_task(ESCROW_ADDRESS, chain_id) + + oracle_client = make_client(BucketAccessInfo.parse_obj(Config.storage_config)) + try: + for filename in fixture_files: + data = oracle_client.download_file( + compose_data_bucket_filename(ESCROW_ADDRESS, chain_id, filename) + ) + (output_dir / filename).write_bytes(data) + print(f"wrote {output_dir / filename} ({len(data)} bytes)") + + # Vendor the manifest the fixture was built from, so the RO validation runs against the + # exact same task config (metric, normalizer, tolerances) that produced it. + manifest_out = output_dir / MANIFEST_FILENAME + manifest_out.write_bytes(Path(MANIFEST_PATH).read_bytes()) + print(f"wrote {manifest_out} ({manifest_out.stat().st_size} bytes)") + finally: + # Best-effort cleanup of the buckets this run touched. + input_client.remove_files(prefix=INPUT_PREFIX) + oracle_client.remove_files(prefix=compose_data_bucket_prefix(ESCROW_ADDRESS, chain_id)) + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument( + "output_dir", + nargs="?", + type=Path, + default=DEFAULT_OUTPUT_DIR, + help="directory to write the fixture into (default: the recording-oracle assets tree)", + ) + main(parser.parse_args().output_dir) diff --git a/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py b/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py index e61b83b4b6..1ca543d56c 100644 --- a/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py +++ b/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py @@ -21,6 +21,12 @@ from src.handlers.job_creation.builders.audio.transcription import _parse_regions_tsv from src.services.cloud.utils import BucketAccessInfo, make_client +from tests.utils.audio_transcription import ( + MEDIA_DURATION_S, + MEDIA_FILES, + build_gt_tsv, + build_regions_tsv, +) from tests.utils.constants import ESCROW_ADDRESS from tests.utils.setup_cvat import get_session @@ -29,14 +35,6 @@ MANIFEST_PATH = "tests/assets/cloud/manifests/audio_manifest.json" -def _ts(seconds: float) -> str: - """Render seconds as an ``H:MM:SS.ffffff`` timestamp (the region/GT TSV format).""" - h = int(seconds // 3600) - m = int((seconds % 3600) // 60) - s = seconds - h * 3600 - m * 60 - return f"{h}:{m:02d}:{s:09.6f}" - - def _generate_wav(path: Path, *, duration_s: int) -> None: """Synthesize a mono sine-tone WAV on the fly (ffmpeg is present in the test image).""" subprocess.run( @@ -81,35 +79,8 @@ def fxt_audio_transcription_input(tmp_path: Path): input_bucket = "datasets" input_prefix = "audio_test" - media_duration_s = 120 - ds_len = 10.0 - ds_rois = { - "audio1.wav": [30.0, 45.0, 60.0, 75.0], - "audio2.wav": [30.0, 45.0, 60.0], - "audio3.wav": [10.0, 25.0, 40.0, 55.0], - "audio4.wav": [10.0, 25.0, 40.0], - "audio5.wav": [10.0, 25.0], - } - ds_rois_tsv = "filename\tstart\tstop\tlabel\n" + "".join( - f"{filename}\t{_ts(start)}\t{_ts(start + ds_len)}\tspeech\n" - for filename, starts in ds_rois.items() - for start in starts - ) - media_files = list(ds_rois) - - # 3 GT spans (the honeypot source) with 1, 2 and 3 regions respectively. Each span covers - # >= min_gt_span_duration=20s (first region start .. last region stop), and all sit after their - # recording's DS regions so GT and DS stay disjoint. - gt_rois = [ - ("s1", "audio1.wav", [(90.0, 112.0)]), - ("s2", "audio2.wav", [(90.0, 98.0), (106.0, 112.0)]), - ("s3", "audio3.wav", [(80.0, 86.0), (92.0, 98.0), (104.0, 110.0)]), - ] - gt_tsv = "filename\tstart\tstop\tlabel\ttext\tspan_id\n" + "".join( - f"{filename}\t{_ts(start)}\t{_ts(stop)}\tspeech\tgt {span_id} {roi_idx} text\t{span_id}\n" - for roi_idx, (span_id, filename, regions) in enumerate(gt_rois) - for start, stop in regions - ) + ds_rois_tsv = build_regions_tsv() + gt_tsv = build_gt_tsv() with open(MANIFEST_PATH) as f: manifest = json.load(f) @@ -122,9 +93,9 @@ def fxt_audio_transcription_input(tmp_path: Path): try: client = make_client(BucketAccessInfo.parse_obj(parse_manifest(manifest).data.media_url)) - for filename in media_files: + for filename in MEDIA_FILES: wav_path = tmp_path / filename - _generate_wav(wav_path, duration_s=media_duration_s) + _generate_wav(wav_path, duration_s=MEDIA_DURATION_S) client.create_file(f"{input_prefix}/media/{filename}", wav_path.read_bytes()) client.create_file(f"{input_prefix}/regions.tsv", ds_rois_tsv.encode()) diff --git a/packages/examples/cvat/exchange-oracle/tests/utils/audio_transcription.py b/packages/examples/cvat/exchange-oracle/tests/utils/audio_transcription.py new file mode 100644 index 0000000000..b799c9b01f --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/tests/utils/audio_transcription.py @@ -0,0 +1,108 @@ +from __future__ import annotations + +import math +from typing import TYPE_CHECKING + +from src.core.tasks.audio_transcription.meta import ( + RegionKind, + parse_gt_tsv, +) + +if TYPE_CHECKING: + from src.core.tasks.audio_transcription.meta import Clip, InputGtRegion + +# Canonical audio task input, shared by the task-creation and validation tests so both exercise +# the same layout. DS_ROIS: per-file region start times (each ROI is DS_LEN seconds long). +DS_LEN = 10.0 +DS_ROIS = { + "audio1.wav": [30.0, 45.0, 60.0, 75.0], + "audio2.wav": [30.0, 45.0, 60.0], + "audio3.wav": [10.0, 25.0, 40.0, 55.0], + "audio4.wav": [10.0, 25.0, 40.0], + "audio5.wav": [10.0, 25.0], +} +# (span_id, filename, [(start, stop), ...]) -- 3 GT spans with 1, 2 and 3 cues. Each span covers +# >= min_gt_span_duration and sits after its recording's DS regions, so GT and DS stay disjoint. +GT_ROIS = [ + ("s1", "audio1.wav", [(90.0, 112.0)]), + ("s2", "audio2.wav", [(90.0, 98.0), (106.0, 112.0)]), + ("s3", "audio3.wav", [(80.0, 86.0), (92.0, 98.0), (104.0, 110.0)]), +] +TRANSCRIPTION_ATTR = "transcription" + +# Media, regions and GT share one layout: the recordings must contain every DS/GT cue, so the +# file set and duration are derived from DS_ROIS/GT_ROIS rather than pinned independently. +MEDIA_MARGIN_S = 8.0 + + +def _region_stops() -> list[float]: + ds_stops = [start + DS_LEN for starts in DS_ROIS.values() for start in starts] + gt_stops = [stop for _span_id, _filename, regions in GT_ROIS for _start, stop in regions] + return ds_stops + gt_stops + + +MEDIA_FILES = sorted({*DS_ROIS, *(filename for _span_id, filename, _regions in GT_ROIS)}) +MEDIA_DURATION_S = math.ceil(max(_region_stops()) + MEDIA_MARGIN_S) + + +def ts(seconds: float) -> str: + """Render seconds as an ``H:MM:SS.ffffff`` timestamp (the region/GT/annotation TSV format).""" + h = int(seconds // 3600) + m = int((seconds % 3600) // 60) + s = seconds - h * 3600 - m * 60 + return f"{h}:{m:02d}:{s:09.6f}" + + +def build_regions_tsv(ds_rois: dict[str, list[float]] = DS_ROIS, ds_len: float = DS_LEN) -> str: + return "filename\tstart\tstop\tlabel\n" + "".join( + f"{filename}\t{ts(start)}\t{ts(start + ds_len)}\tspeech\n" + for filename, starts in ds_rois.items() + for start in starts + ) + + +def build_gt_tsv(gt_rois: list = GT_ROIS) -> str: + return "filename\tstart\tstop\tlabel\ttext\tspan_id\n" + "".join( + f"{filename}\t{ts(start)}\t{ts(stop)}\tspeech\tgt {span_id} {roi_idx} text\t{span_id}\n" + for roi_idx, (span_id, filename, regions) in enumerate(gt_rois) + for start, stop in regions + ) + + +def gt_regions_by_id(gt_tsv: str) -> dict[str, InputGtRegion]: + return {region.id: region for region in parse_gt_tsv(gt_tsv.encode())} + + +def build_perfect_annotation( + clip: Clip, + gt: dict[str, InputGtRegion], + *, + transcription_attr: str = TRANSCRIPTION_ATTR, +) -> str: + """Produce an annotator submission TSV that perfectly transcribes every honeypot in ``clip``. + + Each GT cue's source-time window is mapped back to clip time via its placement offset and + emitted with the GT text, so validation aligns it exactly (WER/CER == 0). + """ + rows: list[tuple[float, float, str]] = [] + for placed in clip.placed: + if placed.kind != RegionKind.gt: + continue + offset = placed.source_start - placed.clip_start # clip_time = source_time - offset + for region_id in placed.input_ids: + cue = gt[region_id] + rows.append( + (cue.start.total_seconds() - offset, cue.stop.total_seconds() - offset, cue.text) + ) + rows.sort() + body = "".join(f"{ts(start)}\t{ts(stop)}\tspeech\t{text}\n" for start, stop, text in rows) + return build_empty_annotation(transcription_attr) + body + + +def build_empty_annotation(transcription_attr: str = TRANSCRIPTION_ATTR) -> str: + """An annotator submission with no transcribed intervals. + + Every presented honeypot is then unmatched, so validation scores each as a full deletion + (error rate 1.0) -- i.e. a failing assignment. + """ + return f"start\tstop\tlabel\t{transcription_attr}\n" diff --git a/packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/assignments.json b/packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/assignments.json new file mode 100644 index 0000000000..0e7598abfb --- /dev/null +++ b/packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/assignments.json @@ -0,0 +1 @@ +[{"id":"21b0aeed1730488989aeeaf704cbcc35","clip_filename":"21b0aeed1730488989aeeaf704cbcc35.wav","clip_dur":55.5,"placed":[{"index":0,"source_filename":"audio2.wav","source_start":106.0,"source_stop":112.0,"clip_start":0.0,"clip_stop":6.0,"kind":"gt","input_ids":["audio2.wav:2"]},{"index":1,"source_filename":"audio3.wav","source_start":92.0,"source_stop":98.0,"clip_start":6.7,"clip_stop":12.7,"kind":"gt","input_ids":["audio3.wav:4"]},{"index":2,"source_filename":"audio4.wav","source_start":25.0,"source_stop":35.0,"clip_start":13.399999999999999,"clip_stop":23.4,"kind":"ds","input_ids":["audio4.wav:12"]},{"index":3,"source_filename":"audio1.wav","source_start":45.0,"source_stop":55.0,"clip_start":24.099999999999998,"clip_stop":34.099999999999994,"kind":"ds","input_ids":["audio1.wav:1"]},{"index":4,"source_filename":"audio4.wav","source_start":10.0,"source_stop":20.0,"clip_start":34.8,"clip_stop":44.8,"kind":"ds","input_ids":["audio4.wav:11"]},{"index":5,"source_filename":"audio5.wav","source_start":10.0,"source_stop":20.0,"clip_start":45.5,"clip_stop":55.5,"kind":"ds","input_ids":["audio5.wav:14"]}]},{"id":"384334a3a0c74a8d8b973a6cee6d7c40","clip_filename":"384334a3a0c74a8d8b973a6cee6d7c40.wav","clip_dur":55.50000000000001,"placed":[{"index":0,"source_filename":"audio3.wav","source_start":25.0,"source_stop":35.0,"clip_start":0.0,"clip_stop":10.0,"kind":"ds","input_ids":["audio3.wav:8"]},{"index":1,"source_filename":"audio1.wav","source_start":75.0,"source_stop":85.0,"clip_start":10.7,"clip_stop":20.7,"kind":"ds","input_ids":["audio1.wav:3"]},{"index":2,"source_filename":"audio1.wav","source_start":30.0,"source_stop":40.0,"clip_start":21.4,"clip_stop":31.4,"kind":"ds","input_ids":["audio1.wav:0"]},{"index":3,"source_filename":"audio4.wav","source_start":40.0,"source_stop":50.0,"clip_start":32.1,"clip_stop":42.1,"kind":"ds","input_ids":["audio4.wav:13"]},{"index":4,"source_filename":"audio3.wav","source_start":80.0,"source_stop":86.0,"clip_start":42.800000000000004,"clip_stop":48.800000000000004,"kind":"gt","input_ids":["audio3.wav:3"]},{"index":5,"source_filename":"audio3.wav","source_start":104.0,"source_stop":110.0,"clip_start":49.50000000000001,"clip_stop":55.50000000000001,"kind":"gt","input_ids":["audio3.wav:5"]}]},{"id":"eff82f2c73e3498b9368003af01373ba","clip_filename":"eff82f2c73e3498b9368003af01373ba.wav","clip_dur":73.50000000000001,"placed":[{"index":0,"source_filename":"audio3.wav","source_start":10.0,"source_stop":20.0,"clip_start":0.0,"clip_stop":10.0,"kind":"ds","input_ids":["audio3.wav:7"]},{"index":1,"source_filename":"audio1.wav","source_start":90.0,"source_stop":112.0,"clip_start":10.7,"clip_stop":32.7,"kind":"gt","input_ids":["audio1.wav:0"]},{"index":2,"source_filename":"audio2.wav","source_start":90.0,"source_stop":98.0,"clip_start":33.400000000000006,"clip_stop":41.400000000000006,"kind":"gt","input_ids":["audio2.wav:1"]},{"index":3,"source_filename":"audio2.wav","source_start":60.0,"source_stop":70.0,"clip_start":42.10000000000001,"clip_stop":52.10000000000001,"kind":"ds","input_ids":["audio2.wav:6"]},{"index":4,"source_filename":"audio3.wav","source_start":55.0,"source_stop":65.0,"clip_start":52.80000000000001,"clip_stop":62.80000000000001,"kind":"ds","input_ids":["audio3.wav:10"]},{"index":5,"source_filename":"audio2.wav","source_start":45.0,"source_stop":55.0,"clip_start":63.500000000000014,"clip_stop":73.50000000000001,"kind":"ds","input_ids":["audio2.wav:5"]}]},{"id":"c4d6975a85a846e4ba75ea9a7b2643c2","clip_filename":"c4d6975a85a846e4ba75ea9a7b2643c2.wav","clip_dur":57.5,"placed":[{"index":0,"source_filename":"audio2.wav","source_start":90.0,"source_stop":98.0,"clip_start":0.0,"clip_stop":8.0,"kind":"gt","input_ids":["audio2.wav:1"]},{"index":1,"source_filename":"audio5.wav","source_start":25.0,"source_stop":35.0,"clip_start":8.7,"clip_stop":18.7,"kind":"ds","input_ids":["audio5.wav:15"]},{"index":2,"source_filename":"audio3.wav","source_start":40.0,"source_stop":50.0,"clip_start":19.4,"clip_stop":29.4,"kind":"ds","input_ids":["audio3.wav:9"]},{"index":3,"source_filename":"audio1.wav","source_start":60.0,"source_stop":70.0,"clip_start":30.099999999999998,"clip_stop":40.099999999999994,"kind":"ds","input_ids":["audio1.wav:2"]},{"index":4,"source_filename":"audio2.wav","source_start":30.0,"source_stop":40.0,"clip_start":40.8,"clip_stop":50.8,"kind":"ds","input_ids":["audio2.wav:4"]},{"index":5,"source_filename":"audio3.wav","source_start":92.0,"source_stop":98.0,"clip_start":51.5,"clip_stop":57.5,"kind":"gt","input_ids":["audio3.wav:4"]}]}] \ No newline at end of file diff --git a/packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/gt.tsv b/packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/gt.tsv new file mode 100644 index 0000000000..1e76d815fc --- /dev/null +++ b/packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/gt.tsv @@ -0,0 +1,7 @@ +filename start stop label text span_id +audio1.wav 0:01:30.000000 0:01:52.000000 speech gt s1 0 text s1 +audio2.wav 0:01:30.000000 0:01:38.000000 speech gt s2 1 text s2 +audio2.wav 0:01:46.000000 0:01:52.000000 speech gt s2 1 text s2 +audio3.wav 0:01:20.000000 0:01:26.000000 speech gt s3 2 text s3 +audio3.wav 0:01:32.000000 0:01:38.000000 speech gt s3 2 text s3 +audio3.wav 0:01:44.000000 0:01:50.000000 speech gt s3 2 text s3 diff --git a/packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/manifest.json b/packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/manifest.json new file mode 100644 index 0000000000..1b72a7f8cb --- /dev/null +++ b/packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/manifest.json @@ -0,0 +1,28 @@ +{ + "version": 2, + "job_type": "audio_transcription", + "data": { + "media_url": "https://invalid/", + "regions_url": "https://invalid/", + "gt_url": "https://invalid/" + }, + "annotation": { + "description": "Audio transcription task", + "user_guide_url": "https://invalid/audio-transcription-guide.md", + "labels": [{ "name": "speech" }], + "shared_attributes": [], + "validation": { + "target_score": 0.5, + "target_metric": "wer" + }, + "qualifications": [], + "details": { + "max_time": 1800, + "normalizer": "basic", + "max_segment_duration": 120, + "min_gt_span_duration": 20, + "min_composition": { "gt": 2, "ds": 2 }, + "validation_overhead": 20 + } + } +} diff --git a/packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/task_clips.json b/packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/task_clips.json new file mode 100644 index 0000000000..f4d211ab50 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/tests/assets/cloud/audio_validation/task_clips.json @@ -0,0 +1 @@ +{"1000":"21b0aeed1730488989aeeaf704cbcc35","1001":"384334a3a0c74a8d8b973a6cee6d7c40","1002":"eff82f2c73e3498b9368003af01373ba","1003":"c4d6975a85a846e4ba75ea9a7b2643c2"} \ No newline at end of file diff --git a/packages/examples/cvat/recording-oracle/tests/unit/test_audio_validation.py b/packages/examples/cvat/recording-oracle/tests/unit/test_audio_validation.py new file mode 100644 index 0000000000..a26303c221 --- /dev/null +++ b/packages/examples/cvat/recording-oracle/tests/unit/test_audio_validation.py @@ -0,0 +1,162 @@ +import json +import logging +from collections.abc import Callable +from pathlib import Path +from types import SimpleNamespace + +import pytest +from sqlalchemy.orm import Session + +from src.core.annotation_meta import AnnotationMeta, JobMeta +from src.core.config import Config +from src.core.manifest import parse_manifest +from src.core.storage import ( + compose_data_bucket_filename, + compose_data_bucket_prefix, + compose_results_bucket_filename, + compose_results_bucket_prefix, +) +from src.core.tasks.audio_transcription.meta import ( + Clip, + TaskMetaLayout, + TaskMetaSerializer, + TaskResultsLayout, +) +from src.core.types import Networks +from src.core.validation_results import ValidationFailure, ValidationSuccess +from src.handlers.validation import process_intermediate_results +from src.services.cloud import make_client as make_cloud_client +from src.services.cloud.utils import BucketAccessInfo + +from tests.utils.audio_transcription import ( + TRANSCRIPTION_ATTR, + build_empty_annotation, + build_perfect_annotation, + gt_regions_by_id, +) +from tests.utils.constants import ESCROW_ADDRESS, WALLET_ADDRESS1 + +CHAIN_ID = Networks.localhost.value + +# Real exchange-oracle builder output. Regenerate by +# exchange-oracle/tests/assets/utils/gen_audio_validation_fixture.py +FIXTURE_DIR = Path(__file__).resolve().parents[1] / "assets" / "cloud" / "audio_validation" + +MANIFEST_FILENAME = "manifest.json" + + +def _load_manifest(): + return parse_manifest(json.loads((FIXTURE_DIR / MANIFEST_FILENAME).read_text())) + + +def _cleanup_eo_bucket(): + client = make_cloud_client(BucketAccessInfo.parse_obj(Config.exchange_oracle_storage_config)) + client.remove_files(prefix=compose_data_bucket_prefix(ESCROW_ADDRESS, CHAIN_ID)) + client.remove_files(prefix=compose_results_bucket_prefix(ESCROW_ADDRESS, CHAIN_ID)) + + +@pytest.fixture +def pre_cleanup_eo_bucket(): + _cleanup_eo_bucket() + + +@pytest.fixture +def post_cleanup_eo_bucket(): + yield + _cleanup_eo_bucket() + + +@pytest.fixture +def fxt_published_task(pre_cleanup_eo_bucket): + """Publish the golden builder metadata to the exchange-oracle bucket the validator reads.""" + + client = make_cloud_client(BucketAccessInfo.parse_obj(Config.exchange_oracle_storage_config)) + + gt_tsv = (FIXTURE_DIR / TaskMetaLayout.GT_FILENAME).read_text() + clips_data = (FIXTURE_DIR / TaskMetaLayout.CLIPS_FILENAME).read_bytes() + task_clips_data = (FIXTURE_DIR / TaskMetaLayout.TASK_CLIPS_FILENAME).read_bytes() + + for filename, data in ( + (TaskMetaLayout.GT_FILENAME, gt_tsv.encode()), + (TaskMetaLayout.CLIPS_FILENAME, clips_data), + (TaskMetaLayout.TASK_CLIPS_FILENAME, task_clips_data), + ): + client.create_file(compose_data_bucket_filename(ESCROW_ADDRESS, CHAIN_ID, filename), data) + + serializer = TaskMetaSerializer() + return SimpleNamespace( + client=client, + clips_by_id={clip.id: clip for clip in serializer.parse_clips(clips_data)}, + task_clips=serializer.parse_task_clips(task_clips_data), + gt=gt_regions_by_id(gt_tsv), + ) + + +@pytest.mark.usefixtures("post_cleanup_eo_bucket") +class AudioValidationTest: + def _validate(self, session: Session, published_task, build_annotation: Callable[[Clip], str]): + """Upload one annotator submission per CVAT task and run the intermediate-results flow. + + ``build_annotation`` maps a clip to its submission TSV. Returns the validation result and + the job metas (their ``job_id`` keys the result). + """ + + jobs = [] + for job_id, (task_id, clip_id) in enumerate( + sorted(published_task.task_clips.items()), start=1 + ): + assignment_id = f"assignment-{job_id}" + published_task.client.create_file( + compose_results_bucket_filename( + ESCROW_ADDRESS, + CHAIN_ID, + TaskResultsLayout.assignment_annotation_filename(job_id, assignment_id), + ), + build_annotation(published_task.clips_by_id[clip_id]).encode(), + ) + jobs.append( + JobMeta( + job_id=job_id, + task_id=task_id, + annotator_wallet_address=WALLET_ADDRESS1, + assignment_id=assignment_id, + start_frame=0, + stop_frame=0, + ) + ) + + result = process_intermediate_results( + session=session, + escrow_address=ESCROW_ADDRESS, + chain_id=CHAIN_ID, + meta=AnnotationMeta(jobs=jobs), + manifest=_load_manifest(), + logger=logging.getLogger(__name__), + ) + + return result, jobs + + def test_can_pass_validation(self, session: Session, fxt_published_task): + result, jobs = self._validate( + session, + fxt_published_task, + lambda clip: build_perfect_annotation( + clip, fxt_published_task.gt, transcription_attr=TRANSCRIPTION_ATTR + ), + ) + + # No rejections -> the escrow completes with a 0.0 (perfect) score per job. + assert isinstance(result, ValidationSuccess) + assert result.job_results == {job.job_id: 0.0 for job in jobs} + + def test_can_fail_validation(self, session: Session, fxt_published_task): + result, jobs = self._validate( + session, + fxt_published_task, + lambda _clip: build_empty_annotation(TRANSCRIPTION_ATTR), + ) + + # Every honeypot is a full deletion -> rate 1.0 > the 0.5 target, so every job is rejected. + assert isinstance(result, ValidationFailure) + assert set(result.rejected_jobs) == {job.job_id for job in jobs} + assert result.job_results == {job.job_id: 1.0 for job in jobs} diff --git a/packages/examples/cvat/recording-oracle/tests/utils/audio_transcription.py b/packages/examples/cvat/recording-oracle/tests/utils/audio_transcription.py new file mode 100644 index 0000000000..b799c9b01f --- /dev/null +++ b/packages/examples/cvat/recording-oracle/tests/utils/audio_transcription.py @@ -0,0 +1,108 @@ +from __future__ import annotations + +import math +from typing import TYPE_CHECKING + +from src.core.tasks.audio_transcription.meta import ( + RegionKind, + parse_gt_tsv, +) + +if TYPE_CHECKING: + from src.core.tasks.audio_transcription.meta import Clip, InputGtRegion + +# Canonical audio task input, shared by the task-creation and validation tests so both exercise +# the same layout. DS_ROIS: per-file region start times (each ROI is DS_LEN seconds long). +DS_LEN = 10.0 +DS_ROIS = { + "audio1.wav": [30.0, 45.0, 60.0, 75.0], + "audio2.wav": [30.0, 45.0, 60.0], + "audio3.wav": [10.0, 25.0, 40.0, 55.0], + "audio4.wav": [10.0, 25.0, 40.0], + "audio5.wav": [10.0, 25.0], +} +# (span_id, filename, [(start, stop), ...]) -- 3 GT spans with 1, 2 and 3 cues. Each span covers +# >= min_gt_span_duration and sits after its recording's DS regions, so GT and DS stay disjoint. +GT_ROIS = [ + ("s1", "audio1.wav", [(90.0, 112.0)]), + ("s2", "audio2.wav", [(90.0, 98.0), (106.0, 112.0)]), + ("s3", "audio3.wav", [(80.0, 86.0), (92.0, 98.0), (104.0, 110.0)]), +] +TRANSCRIPTION_ATTR = "transcription" + +# Media, regions and GT share one layout: the recordings must contain every DS/GT cue, so the +# file set and duration are derived from DS_ROIS/GT_ROIS rather than pinned independently. +MEDIA_MARGIN_S = 8.0 + + +def _region_stops() -> list[float]: + ds_stops = [start + DS_LEN for starts in DS_ROIS.values() for start in starts] + gt_stops = [stop for _span_id, _filename, regions in GT_ROIS for _start, stop in regions] + return ds_stops + gt_stops + + +MEDIA_FILES = sorted({*DS_ROIS, *(filename for _span_id, filename, _regions in GT_ROIS)}) +MEDIA_DURATION_S = math.ceil(max(_region_stops()) + MEDIA_MARGIN_S) + + +def ts(seconds: float) -> str: + """Render seconds as an ``H:MM:SS.ffffff`` timestamp (the region/GT/annotation TSV format).""" + h = int(seconds // 3600) + m = int((seconds % 3600) // 60) + s = seconds - h * 3600 - m * 60 + return f"{h}:{m:02d}:{s:09.6f}" + + +def build_regions_tsv(ds_rois: dict[str, list[float]] = DS_ROIS, ds_len: float = DS_LEN) -> str: + return "filename\tstart\tstop\tlabel\n" + "".join( + f"{filename}\t{ts(start)}\t{ts(start + ds_len)}\tspeech\n" + for filename, starts in ds_rois.items() + for start in starts + ) + + +def build_gt_tsv(gt_rois: list = GT_ROIS) -> str: + return "filename\tstart\tstop\tlabel\ttext\tspan_id\n" + "".join( + f"{filename}\t{ts(start)}\t{ts(stop)}\tspeech\tgt {span_id} {roi_idx} text\t{span_id}\n" + for roi_idx, (span_id, filename, regions) in enumerate(gt_rois) + for start, stop in regions + ) + + +def gt_regions_by_id(gt_tsv: str) -> dict[str, InputGtRegion]: + return {region.id: region for region in parse_gt_tsv(gt_tsv.encode())} + + +def build_perfect_annotation( + clip: Clip, + gt: dict[str, InputGtRegion], + *, + transcription_attr: str = TRANSCRIPTION_ATTR, +) -> str: + """Produce an annotator submission TSV that perfectly transcribes every honeypot in ``clip``. + + Each GT cue's source-time window is mapped back to clip time via its placement offset and + emitted with the GT text, so validation aligns it exactly (WER/CER == 0). + """ + rows: list[tuple[float, float, str]] = [] + for placed in clip.placed: + if placed.kind != RegionKind.gt: + continue + offset = placed.source_start - placed.clip_start # clip_time = source_time - offset + for region_id in placed.input_ids: + cue = gt[region_id] + rows.append( + (cue.start.total_seconds() - offset, cue.stop.total_seconds() - offset, cue.text) + ) + rows.sort() + body = "".join(f"{ts(start)}\t{ts(stop)}\tspeech\t{text}\n" for start, stop, text in rows) + return build_empty_annotation(transcription_attr) + body + + +def build_empty_annotation(transcription_attr: str = TRANSCRIPTION_ATTR) -> str: + """An annotator submission with no transcribed intervals. + + Every presented honeypot is then unmatched, so validation scores each as a full deletion + (error rate 1.0) -- i.e. a failing assignment. + """ + return f"start\tstop\tlabel\t{transcription_attr}\n" From b0f49e5339e486002b9f90549a48e8123d73169a Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Tue, 14 Jul 2026 21:11:18 +0300 Subject: [PATCH 46/53] Change the recommended compose project to avoid dev image clobber --- packages/examples/cvat/exchange-oracle/README.md | 12 ++++++------ .../cvat/exchange-oracle/docker-compose.dev.yml | 8 ++++---- .../assets/utils/gen_audio_validation_fixture.py | 2 +- packages/examples/cvat/recording-oracle/README.md | 10 +++++----- 4 files changed, 16 insertions(+), 16 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/README.md b/packages/examples/cvat/exchange-oracle/README.md index 171880a651..2af661be5d 100644 --- a/packages/examples/cvat/exchange-oracle/README.md +++ b/packages/examples/cvat/exchange-oracle/README.md @@ -76,11 +76,11 @@ Available at `/docs` route A single command to build, run, and tear down the test suite: ```sh -docker compose -p "test" \ +docker compose -p eo-test \ -f docker-compose.test.yml \ -f docker-compose.test.head.yml \ up --build test --attach test --exit-code-from test; \ - docker compose -p "test" \ + docker compose -p eo-test \ -f docker-compose.test.yml \ -f docker-compose.test.head.yml \ down @@ -95,19 +95,19 @@ commands allow running just the services, build, tear down, and run the test sui ```sh # run services -docker compose -p "test" \ +docker compose -p eo-test \ -f docker-compose.test.yml \ up -d --build # run the tests -docker compose -p "test" \ +docker compose -p eo-test \ -f docker-compose.test.yml \ -f docker-compose.test.head.yml \ -f docker-compose.test.head.dev.yml \ up --build test --attach test --exit-code-from test # tear down -docker compose -p "test" \ +docker compose -p eo-test \ -f docker-compose.test.yml \ -f docker-compose.test.head.yml \ -f docker-compose.test.head.dev.yml \ @@ -130,7 +130,7 @@ command, applies migrations, and writes to a mounted output dir (the recording-o visible in the container, so mount it and pass its path): ```sh -docker compose -p "test" \ +docker compose -p eo-test \ -f docker-compose.test.yml \ -f docker-compose.test.head.yml \ -f docker-compose.test.head.dev.yml \ diff --git a/packages/examples/cvat/exchange-oracle/docker-compose.dev.yml b/packages/examples/cvat/exchange-oracle/docker-compose.dev.yml index 065297be48..8c7d63e0b8 100644 --- a/packages/examples/cvat/exchange-oracle/docker-compose.dev.yml +++ b/packages/examples/cvat/exchange-oracle/docker-compose.dev.yml @@ -32,7 +32,7 @@ services: ports: - 6380:6379 networks: - - test-network + - oracle-network minio: container_name: minio @@ -54,7 +54,7 @@ services: timeout: 5s retries: 3 networks: - - test-network + - oracle-network - cvat-human-bridge minio-mc: @@ -78,7 +78,7 @@ services: /usr/bin/mc anonymous set public myminio/launcher; " networks: - - test-network + - oracle-network volumes: postgres: @@ -86,7 +86,7 @@ volumes: minio: networks: - test-network: + oracle-network: cvat-human-bridge: name: cvat-human-bridge external: true diff --git a/packages/examples/cvat/exchange-oracle/tests/assets/utils/gen_audio_validation_fixture.py b/packages/examples/cvat/exchange-oracle/tests/assets/utils/gen_audio_validation_fixture.py index 79c0cc4b13..1602908a24 100644 --- a/packages/examples/cvat/exchange-oracle/tests/assets/utils/gen_audio_validation_fixture.py +++ b/packages/examples/cvat/exchange-oracle/tests/assets/utils/gen_audio_validation_fixture.py @@ -9,7 +9,7 @@ Easiest is to run it inside the test suite container. It reuses the test service, and writes the fixture to a mounted output dir. Call from the exchange-oracle dir: - docker compose -p test \ + docker compose -p eo-test \ -f docker-compose.test.yml \\ -f docker-compose.test.head.yml \\ -f docker-compose.test.head.dev.yml \\ run --rm \\ -v "$(pwd)/../recording-oracle/tests/assets/cloud/audio_validation:/out" \\ test sh -c "alembic diff --git a/packages/examples/cvat/recording-oracle/README.md b/packages/examples/cvat/recording-oracle/README.md index d32bdf67ec..1b187b65dc 100644 --- a/packages/examples/cvat/recording-oracle/README.md +++ b/packages/examples/cvat/recording-oracle/README.md @@ -72,11 +72,11 @@ Available at `/docs` route A single command to build, run, and tear down the test suite: ```sh -docker compose -p "test" \ +docker compose -p ro-test \ -f docker-compose.test.yml \ -f docker-compose.test.head.yml \ up --build test --attach test --exit-code-from test; \ - docker compose -p "test" \ + docker compose -p ro-test \ -f docker-compose.test.yml \ -f docker-compose.test.head.yml down ``` @@ -90,19 +90,19 @@ commands allow running just the services, build, tear down, and run the test sui ```sh # run services -docker compose -p "test" \ +docker compose -p ro-test \ -f docker-compose.test.yml \ up -d --build # run the tests -docker compose -p "test" \ +docker compose -p ro-test \ -f docker-compose.test.yml \ -f docker-compose.test.head.yml \ -f docker-compose.test.head.dev.yml \ up --build test --attach test --exit-code-from test # tear down -docker compose -p "test" \ +docker compose -p ro-test \ -f docker-compose.test.yml \ -f docker-compose.test.head.yml \ -f docker-compose.test.head.dev.yml \ From 4af197df4205e4a6159267cd7721ca403e7cff8c Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Wed, 15 Jul 2026 11:20:42 +0300 Subject: [PATCH 47/53] Update readme --- .../examples/cvat/exchange-oracle/README.md | 24 +++---------------- .../examples/cvat/recording-oracle/README.md | 16 +++++++++++++ 2 files changed, 19 insertions(+), 21 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/README.md b/packages/examples/cvat/exchange-oracle/README.md index 2af661be5d..9c8fc45ecd 100644 --- a/packages/examples/cvat/exchange-oracle/README.md +++ b/packages/examples/cvat/exchange-oracle/README.md @@ -116,18 +116,10 @@ docker compose -p eo-test \ The dev setup mounts the local directory to speed the things up. -#### Regenerating the audio-validation fixture +#### Regenerating the test fixtures -The recording oracle's audio-transcription validation test runs against a golden fixture — real -builder output (`gt.tsv`, `assignments.json`, `task_clips.json`, `manifest.json`) vendored under -`recording-oracle/tests/assets/cloud/audio_validation/`. Regenerate it whenever the builder output -layout or the shared audio task setup (`tests/utils/audio_transcription.py`) changes. - -The wrapper script `tests/assets/utils/gen_audio_validation_fixture.py` runs the real EO builder -once (against a mocked CVAT) and writes the fixture. Easiest is to run it inside the test-suite -container, which already has the env, minio and postgres — it overrides the service's `pytest` -command, applies migrations, and writes to a mounted output dir (the recording-oracle tree isn't -visible in the container, so mount it and pass its path): +Recording Oracle tests run against the fixtures produced by the Exchange Oracle implementation. +Regenerate them whenever the builder output layout or the shared task setups change. ```sh docker compose -p eo-test \ @@ -139,13 +131,3 @@ docker compose -p eo-test \ test sh -c "alembic upgrade head && PYTHONPATH=. \ python tests/assets/utils/gen_audio_validation_fixture.py /out" ``` - -To run it directly instead (against your own reachable minio + postgres, with the test-service env -exported and migrations applied): - -```sh -PYTHONPATH=. python tests/assets/utils/gen_audio_validation_fixture.py [OUTPUT_DIR] -``` - -`OUTPUT_DIR` defaults to the recording-oracle assets tree; pass a path to write elsewhere (e.g. a -scratch dir to diff before committing). diff --git a/packages/examples/cvat/recording-oracle/README.md b/packages/examples/cvat/recording-oracle/README.md index 1b187b65dc..f9f3adc68f 100644 --- a/packages/examples/cvat/recording-oracle/README.md +++ b/packages/examples/cvat/recording-oracle/README.md @@ -110,3 +110,19 @@ docker compose -p ro-test \ ``` The dev setup mounts the local directory to speed the things up. + +#### Regenerating the test fixtures + +Recording Oracle tests run against the fixtures produced by the Exchange Oracle implementation. +Regenerate them whenever the builder output layout or the shared task setups change. + +```sh +cd ../exchange-oracle && docker compose -p eo-test \ + -f docker-compose.test.yml \ + -f docker-compose.test.head.yml \ + -f docker-compose.test.head.dev.yml \ + run --rm \ + -v "$(pwd)/../recording-oracle/tests/assets/cloud/audio_validation:/out" \ + test sh -c "alembic upgrade head && PYTHONPATH=. \ + python tests/assets/utils/gen_audio_validation_fixture.py /out" +``` From cbbad7c89bc47d65cfcf0851e99cba119c967adc Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Wed, 15 Jul 2026 11:30:24 +0300 Subject: [PATCH 48/53] Bump cvat sdk --- .../examples/cvat/exchange-oracle/poetry.lock | 8 +-- .../cvat/exchange-oracle/pyproject.toml | 2 +- .../cvat/recording-oracle/poetry.lock | 58 ++----------------- .../cvat/recording-oracle/pyproject.toml | 2 +- 4 files changed, 12 insertions(+), 58 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/poetry.lock b/packages/examples/cvat/exchange-oracle/poetry.lock index 48e1008447..9bc4781f0d 100644 --- a/packages/examples/cvat/exchange-oracle/poetry.lock +++ b/packages/examples/cvat/exchange-oracle/poetry.lock @@ -922,13 +922,13 @@ test-randomorder = ["pytest-randomly"] [[package]] name = "cvat-sdk" -version = "2.69.0" +version = "2.70.0" description = "Software Development Kit for CVAT" optional = false python-versions = ">=3.10" files = [ - {file = "cvat_sdk-2.69.0-py3-none-any.whl", hash = "sha256:f239d3cb609f45e4fc1d7cce1e49fe920d515be19058648fb79eba923ba0023e"}, - {file = "cvat_sdk-2.69.0.tar.gz", hash = "sha256:799ff1a763e1444a515edafcd162b7ab2fa89638211872bad139c63796a9dc7a"}, + {file = "cvat_sdk-2.70.0-py3-none-any.whl", hash = "sha256:6098b01bda86433d96e177cfce5e28dce2c19f7c0bd3b0e814b8d7e45b8e1a46"}, + {file = "cvat_sdk-2.70.0.tar.gz", hash = "sha256:4d9304bd8334b05b5e5504466cedf1f538a667f5274544398dec78bba4b47e83"}, ] [package.dependencies] @@ -5561,4 +5561,4 @@ propcache = ">=0.2.1" [metadata] lock-version = "2.0" python-versions = "^3.10,<3.13" -content-hash = "e9469d22ecf7b753946d0a9a78b8e597ef90123dde33916b2ec5c0a6571081af" +content-hash = "843f77239edc1007d9c112b8555d0e7043b08d083f046a6d76ccaf1adeb5ded6" diff --git a/packages/examples/cvat/exchange-oracle/pyproject.toml b/packages/examples/cvat/exchange-oracle/pyproject.toml index 5dc9135894..adb6f4071f 100644 --- a/packages/examples/cvat/exchange-oracle/pyproject.toml +++ b/packages/examples/cvat/exchange-oracle/pyproject.toml @@ -14,7 +14,7 @@ psycopg2 = "^2.9.6" sqlalchemy-utils = "^0.41.1" alembic = "^1.11.1" httpx = "^0.24.1" -cvat-sdk = "2.69.0" +cvat-sdk = "2.70.0" sqlalchemy = "^2.0.16" apscheduler = "^3.10.1" xmltodict = "^0.13.0" diff --git a/packages/examples/cvat/recording-oracle/poetry.lock b/packages/examples/cvat/recording-oracle/poetry.lock index ffef5e6aaf..f075fdbc6f 100644 --- a/packages/examples/cvat/recording-oracle/poetry.lock +++ b/packages/examples/cvat/recording-oracle/poetry.lock @@ -875,13 +875,13 @@ test-randomorder = ["pytest-randomly"] [[package]] name = "cvat-sdk" -version = "2.37.0" -description = "CVAT REST API" +version = "2.70.0" +description = "Software Development Kit for CVAT" optional = false -python-versions = ">=3.9" +python-versions = ">=3.10" files = [ - {file = "cvat_sdk-2.37.0-py3-none-any.whl", hash = "sha256:faa94cfd6678089814179a8da828761dfa3daf08eb752490ee85551a1045dac5"}, - {file = "cvat_sdk-2.37.0.tar.gz", hash = "sha256:e990908a473c499eb6d7b84f7f2e640ea729ef027d4c4cc32a5a925752532689"}, + {file = "cvat_sdk-2.70.0-py3-none-any.whl", hash = "sha256:6098b01bda86433d96e177cfce5e28dce2c19f7c0bd3b0e814b8d7e45b8e1a46"}, + {file = "cvat_sdk-2.70.0.tar.gz", hash = "sha256:4d9304bd8334b05b5e5504466cedf1f538a667f5274544398dec78bba4b47e83"}, ] [package.dependencies] @@ -890,9 +890,7 @@ packaging = ">=21.3" Pillow = ">=10.3.0" platformdirs = ">=2.1.0" python_dateutil = ">=2.5.3" -setuptools = ">=21.0.0" tqdm = ">=4.64.0" -tuspy = "0.2.5" typing_extensions = ">=4.2.0" urllib3 = ">=1.25.3" @@ -1545,17 +1543,6 @@ files = [ {file = "frozenlist-1.5.0.tar.gz", hash = "sha256:81d5af29e61b9c8348e876d442253723928dce6433e0e76cd925cd83f1b4b817"}, ] -[[package]] -name = "future" -version = "1.0.0" -description = "Clean single-source support for Python 3 and 2" -optional = false -python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" -files = [ - {file = "future-1.0.0-py3-none-any.whl", hash = "sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216"}, - {file = "future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05"}, -] - [[package]] name = "google-api-core" version = "2.17.1" @@ -4110,17 +4097,6 @@ numpy = "*" packaging = "*" protobuf = ">=3.20" -[[package]] -name = "tinydb" -version = "4.8.2" -description = "TinyDB is a tiny, document oriented database optimized for your happiness :)" -optional = false -python-versions = "<4.0,>=3.8" -files = [ - {file = "tinydb-4.8.2-py3-none-any.whl", hash = "sha256:f97030ee5cbc91eeadd1d7af07ab0e48ceb04aa63d4a983adbaca4cba16e86c3"}, - {file = "tinydb-4.8.2.tar.gz", hash = "sha256:f7dfc39b8d7fda7a1ca62a8dbb449ffd340a117c1206b68c50b1a481fb95181d"}, -] - [[package]] name = "tomli" version = "2.0.1" @@ -4163,28 +4139,6 @@ notebook = ["ipywidgets (>=6)"] slack = ["slack-sdk"] telegram = ["requests"] -[[package]] -name = "tuspy" -version = "0.2.5" -description = "A Python client for the tus resumable upload protocol -> http://tus.io" -optional = false -python-versions = "*" -files = [ - {file = "tuspy-0.2.5-py3-none-any.whl", hash = "sha256:8ce106dd139ac77a097e8728f15f90d99df7408d9e67ac780ce44aefb9b5dd8d"}, - {file = "tuspy-0.2.5.tar.gz", hash = "sha256:1f238f65d444c0688f57e1dd704d9aa11cf5747eec33669e917627150170b9b8"}, -] - -[package.dependencies] -certifi = ">=2018.1.18" -future = ">=0.16.0" -requests = ">=2.18.4" -six = ">=1.11.0" -tinydb = ">=3.5.0" - -[package.extras] -dev = ["Sphinx (==1.7.1)", "sphinx-autobuild (==0.7.1)", "tox (>=2.3.1)"] -test = ["coverage (>=4.2)", "mock (>=2.0.0)", "pytest (>=3.0.3)", "pytest-cov (>=2.3.1,<2.6)", "responses (>=0.5.1)"] - [[package]] name = "typer" version = "0.12.5" @@ -4691,4 +4645,4 @@ propcache = ">=0.2.0" [metadata] lock-version = "2.0" python-versions = "^3.10, <3.13" -content-hash = "677d6c5f1b1ced0f0a0365a765be4b611ea9ee532d6bba80bd57c57b80327e72" +content-hash = "f6a952ebe424cf68982c33f87e6ade04da9271777669f724b9cafcb4446e92e5" diff --git a/packages/examples/cvat/recording-oracle/pyproject.toml b/packages/examples/cvat/recording-oracle/pyproject.toml index eb7475b986..2964c4b9c8 100644 --- a/packages/examples/cvat/recording-oracle/pyproject.toml +++ b/packages/examples/cvat/recording-oracle/pyproject.toml @@ -22,7 +22,7 @@ google-cloud-storage = "^2.14.0" datumaro = {git = "https://github.com/cvat-ai/datumaro.git", rev = "ff83c00c2c1bc4b8fdfcc55067fcab0a9b5b6b11"} hexbytes = ">=1.2.0" # required for to_0x_hex() function starlette = ">=0.40.0" # avoid the vulnerability with multipart/form-data -cvat-sdk = "2.37.0" +cvat-sdk = "2.70.0" cryptography = "<44.0.0" # human-protocol-sdk -> pgpy dep requires cryptography < 45 human-protocol-sdk = "^7.3.1" strenum = "^0.4.15" From 5afa1fc049457772a9d09150561a900b69179d73 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Wed, 15 Jul 2026 14:02:44 +0300 Subject: [PATCH 49/53] Sync with cvat sdk changes --- packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py b/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py index bbd8977b22..0823e381b7 100644 --- a/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py +++ b/packages/examples/cvat/exchange-oracle/src/cvat/api_calls.py @@ -603,7 +603,7 @@ def get_task_upload_status(cvat_id: int) -> tuple[RequestStatus, str]: # Double check task status - the request can be removed already # TODO: remove this workaround when there is a stable replacement task = api_client.tasks_api.retrieve(cvat_id)[0] - if task.size > 0: + if task.media_type: status = RequestStatus.FINISHED reason = "" else: From 9c49ef9485d19b64a8e2591ea5b716a2c32f50be Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Wed, 15 Jul 2026 14:44:12 +0300 Subject: [PATCH 50/53] Fix alembic migration autogeneration --- .../cvat/exchange-oracle/alembic/env.py | 6 +---- .../exchange-oracle/src/models/__init__.py | 27 +++++++++++++++++++ .../cvat/recording-oracle/alembic/env.py | 6 +---- .../recording-oracle/src/models/__init__.py | 10 +++++++ 4 files changed, 39 insertions(+), 10 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/alembic/env.py b/packages/examples/cvat/exchange-oracle/alembic/env.py index b642b5942c..0af4210614 100644 --- a/packages/examples/cvat/exchange-oracle/alembic/env.py +++ b/packages/examples/cvat/exchange-oracle/alembic/env.py @@ -18,13 +18,9 @@ disable_existing_loggers=config.attributes.get("disable_existing_loggers", True), ) +import src.models # noqa: E402, F401 (registers all models on Base.metadata for autogenerate) from src.db import Base # noqa: E402 -# add your model's MetaData object here -# for 'autogenerate' support -# from myapp import mymodel -# target_metadata = mymodel.Base.metadata - target_metadata = Base.metadata # other values from the config, defined by the needs of env.py, diff --git a/packages/examples/cvat/exchange-oracle/src/models/__init__.py b/packages/examples/cvat/exchange-oracle/src/models/__init__.py index e69de29bb2..fcb2784788 100644 --- a/packages/examples/cvat/exchange-oracle/src/models/__init__.py +++ b/packages/examples/cvat/exchange-oracle/src/models/__init__.py @@ -0,0 +1,27 @@ +from src.models.cvat import ( + Assignment, + CvatWebhook, + DataUpload, + EscrowCreation, + EscrowValidation, + Image, + Job, + Project, + Task, + User, +) +from src.models.webhook import Webhook + +__all__ = [ + "Assignment", + "CvatWebhook", + "DataUpload", + "EscrowCreation", + "EscrowValidation", + "Image", + "Job", + "Project", + "Task", + "User", + "Webhook", +] diff --git a/packages/examples/cvat/recording-oracle/alembic/env.py b/packages/examples/cvat/recording-oracle/alembic/env.py index fde70d21e7..09bbefa476 100644 --- a/packages/examples/cvat/recording-oracle/alembic/env.py +++ b/packages/examples/cvat/recording-oracle/alembic/env.py @@ -18,13 +18,9 @@ disable_existing_loggers=config.attributes.get("disable_existing_loggers", True), ) +import src.models # noqa: E402, F401 (registers all models on Base.metadata for autogenerate) from src.db import Base # noqa: E402 -# add your model's MetaData object here -# for 'autogenerate' support -# from myapp import mymodel -# target_metadata = mymodel.Base.metadata - target_metadata = Base.metadata # other values from the config, defined by the needs of env.py, diff --git a/packages/examples/cvat/recording-oracle/src/models/__init__.py b/packages/examples/cvat/recording-oracle/src/models/__init__.py index e69de29bb2..4edf9ab64c 100644 --- a/packages/examples/cvat/recording-oracle/src/models/__init__.py +++ b/packages/examples/cvat/recording-oracle/src/models/__init__.py @@ -0,0 +1,10 @@ +from src.models.validation import GtStats, Job, Task, ValidationResult +from src.models.webhook import Webhook + +__all__ = [ + "GtStats", + "Job", + "Task", + "ValidationResult", + "Webhook", +] From 1e9fda35ad27ffa7e87ba66193adb75fadfcbc48 Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Wed, 15 Jul 2026 16:46:21 +0300 Subject: [PATCH 51/53] Support getting job bounty from escrow --- ..._project_assignment_bounty_9884511c7077.py | 30 ++++ .../docker-compose.test.head.yml | 1 + .../exchange-oracle/docker-compose.test.yml | 4 - .../cvat/exchange-oracle/pyproject.toml | 1 + .../src/endpoints/serializers.py | 32 +++- .../builders/audio/transcription.py | 17 +- .../job_creation/builders/vision/basic.py | 14 +- .../builders/vision/boxes_from_points.py | 17 +- .../builders/vision/skeletons_from_boxes.py | 17 +- .../src/handlers/job_creation/utils.py | 26 +++ .../cvat/exchange-oracle/src/models/cvat.py | 1 + .../cvat/exchange-oracle/src/services/cvat.py | 3 + .../tests/integration/services/test_cvat.py | 150 +++++++++--------- .../tests/unit/test_audio_task_creation.py | 10 +- 14 files changed, 217 insertions(+), 106 deletions(-) create mode 100644 packages/examples/cvat/exchange-oracle/alembic/versions/1784115076_add_project_assignment_bounty_9884511c7077.py diff --git a/packages/examples/cvat/exchange-oracle/alembic/versions/1784115076_add_project_assignment_bounty_9884511c7077.py b/packages/examples/cvat/exchange-oracle/alembic/versions/1784115076_add_project_assignment_bounty_9884511c7077.py new file mode 100644 index 0000000000..0caf69311e --- /dev/null +++ b/packages/examples/cvat/exchange-oracle/alembic/versions/1784115076_add_project_assignment_bounty_9884511c7077.py @@ -0,0 +1,30 @@ +""" +add project assignment_bounty + +Revision ID: 9884511c7077 +Revises: 216af22b5590 +Create Date: 2026-07-15 14:31:16.493245 + +""" + +import sqlalchemy as sa + +from alembic import op + +# revision identifiers, used by Alembic. +revision = "9884511c7077" +down_revision = "216af22b5590" +branch_labels = None +depends_on = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.add_column("projects", sa.Column("assignment_bounty", sa.String(), nullable=True)) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_column("projects", "assignment_bounty") + # ### end Alembic commands ### diff --git a/packages/examples/cvat/exchange-oracle/docker-compose.test.head.yml b/packages/examples/cvat/exchange-oracle/docker-compose.test.head.yml index 7647773326..825d84fa01 100644 --- a/packages/examples/cvat/exchange-oracle/docker-compose.test.head.yml +++ b/packages/examples/cvat/exchange-oracle/docker-compose.test.head.yml @@ -20,6 +20,7 @@ services: STORAGE_PROVIDER: 'aws' ENABLE_CUSTOM_CLOUD_HOST: 'Yes' REDIS_HOST: 'redis' + REDIS_PORT: 6379 depends_on: postgres: condition: service_started diff --git a/packages/examples/cvat/exchange-oracle/docker-compose.test.yml b/packages/examples/cvat/exchange-oracle/docker-compose.test.yml index 1943955b12..899b0d4953 100644 --- a/packages/examples/cvat/exchange-oracle/docker-compose.test.yml +++ b/packages/examples/cvat/exchange-oracle/docker-compose.test.yml @@ -9,8 +9,6 @@ services: PGDATA: '/var/lib/postgresql/data/pgdata' networks: - test-network - ports: - - 5432:5432 redis: container_name: oracle-redis @@ -21,8 +19,6 @@ services: "--save", "60", "100", "--appendonly", "yes", ] - ports: - - 6379:6379 networks: - test-network diff --git a/packages/examples/cvat/exchange-oracle/pyproject.toml b/packages/examples/cvat/exchange-oracle/pyproject.toml index adb6f4071f..8d2cff6de4 100644 --- a/packages/examples/cvat/exchange-oracle/pyproject.toml +++ b/packages/examples/cvat/exchange-oracle/pyproject.toml @@ -109,6 +109,7 @@ ignore = [ "ANN204", # Missing return type annotation for special method "ERA001", # Found commented-out code "N801", # Class name should use CapWords convention + "PLR0913", # Too many arguments in function definition "PLR0915", # Too many statements "PLR2004", # Magic value used in comparison, consider replacing with a constant variable "ANN002", # Missing type annotation for `*args` diff --git a/packages/examples/cvat/exchange-oracle/src/endpoints/serializers.py b/packages/examples/cvat/exchange-oracle/src/endpoints/serializers.py index 05b01ffb80..50049a9d5c 100644 --- a/packages/examples/cvat/exchange-oracle/src/endpoints/serializers.py +++ b/packages/examples/cvat/exchange-oracle/src/endpoints/serializers.py @@ -8,7 +8,7 @@ get_escrow_fund_token_symbol, get_escrow_manifest, ) -from src.core.manifest import parse_manifest +from src.core.manifest import ManifestBase, parse_manifest from src.core.types import AssignmentStatuses, ProjectStatuses from src.db import SessionLocal from src.schemas import exchange as service_api @@ -50,14 +50,16 @@ def serialize_job( else: raise AssertionError(f"Unexpected project status '{project.status}'") + bounty = get_assignment_bounty(project, manifest=manifest) reward_token = get_escrow_fund_token_symbol(project.chain_id, project.escrow_address) + return service_api.JobResponse( escrow_address=project.escrow_address, chain_id=project.chain_id, job_type=project.job_type, status=api_status, job_description=manifest.annotation.description if manifest else None, - reward_amount=str(manifest.job_bounty) if manifest else None, + reward_amount=bounty, reward_token=reward_token, created_at=project.created_at, updated_at=project.updated_at, @@ -65,6 +67,26 @@ def serialize_job( ) +def get_assignment_bounty( + project: cvat_service.Project, *, manifest: ManifestBase | None = None +) -> str | None: + if project.assignment_bounty is not None: + assignment_bounty = project.assignment_bounty + else: + with suppress(ManifestNotAvailableError): + if not manifest: + manifest = parse_manifest( + get_escrow_manifest(project.chain_id, project.escrow_address) + ) + + assignment_bounty = getattr(manifest, "job_bounty", None) + + if assignment_bounty is not None: + assignment_bounty = str(assignment_bounty) + + return assignment_bounty + + ASSIGNMENT_PROJECT_VALIDATION_STATUSES = [ cvat_service.ProjectStatuses.annotation, cvat_service.ProjectStatuses.completed, @@ -101,9 +123,6 @@ def serialize_assignment( f"or a cvat_service.Project instance, not {project!r}" ) - with suppress(ManifestNotAvailableError): - manifest = parse_manifest(get_escrow_manifest(project.chain_id, project.escrow_address)) - assignment_status_mapping = { AssignmentStatuses.created: service_api.AssignmentStatuses.active, AssignmentStatuses.completed: service_api.AssignmentStatuses.completed, @@ -119,6 +138,7 @@ def serialize_assignment( else: api_status = assignment_status_mapping[assignment.status] + bounty = get_assignment_bounty(project) reward_token = get_escrow_fund_token_symbol(project.chain_id, project.escrow_address) return service_api.AssignmentResponse( @@ -127,7 +147,7 @@ def serialize_assignment( chain_id=project.chain_id, job_type=project.job_type, status=api_status, - reward_amount=str(manifest.job_bounty) if manifest else None, + reward_amount=bounty, reward_token=reward_token, url=compose_assignment_url( task_id=assignment.job.cvat_task_id, diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py index f9761024cd..133786dd17 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py @@ -40,6 +40,7 @@ ) from src.handlers.job_creation.utils import ( MaybeUnset, + get_assignment_bounty, make_cvat_cloud_storage_params, unset, ) @@ -606,12 +607,18 @@ def _create_on_cvat(self) -> None: project_id = db_service.create_project( session, cvat_project.id, - cloud_storage.id, - TaskTypes.audio_transcription, - escrow_address, - chain_id, - self._oracle_data_bucket.to_url(), + cvat_cloudstorage_id=cloud_storage.id, + job_type=TaskTypes.audio_transcription, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=self._oracle_data_bucket.to_url(), cvat_webhook_id=cvat_webhook.id, + assignment_bounty=get_assignment_bounty( + self.manifest, + escrow_address=escrow_address, + chain_id=chain_id, + job_count=len(self._assignments), + ), ) db_service.get_project_by_id(session, project_id, for_update=True) # lock the row diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py index 2ff83b47da..b7fa30323f 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/basic.py @@ -34,6 +34,7 @@ from src.handlers.job_creation.utils import ( MaybeUnset, filter_image_files, + get_assignment_bounty, make_cvat_cloud_storage_params, make_cvat_label_configuration, unset, @@ -154,12 +155,15 @@ def build(self): project_id = db_service.create_project( session, cvat_project.id, - cloud_storage.id, - manifest.annotation.type, - escrow_address, - chain_id, - data_bucket.to_url(), + cvat_cloudstorage_id=cloud_storage.id, + job_type=manifest.annotation.type, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=data_bucket.to_url(), cvat_webhook_id=cvat_webhook.id, + assignment_bounty=get_assignment_bounty( + manifest, escrow_address=escrow_address, chain_id=chain_id, job_count=total_jobs + ), ) db_service.get_project_by_id(session, project_id, for_update=True) # lock the row diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py index 7dba049790..19eaefe061 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/boxes_from_points.py @@ -51,6 +51,7 @@ from src.handlers.job_creation.utils import ( MaybeUnset, filter_image_files, + get_assignment_bounty, make_cvat_cloud_storage_params, make_cvat_label_configuration, strip_bucket_prefix, @@ -1063,14 +1064,20 @@ def _create_on_cvat(self): project_id = db_service.create_project( session, cvat_project.id, - cvat_cloud_storage.id, - self.manifest.annotation.type, - self.escrow_address, - self.chain_id, - oracle_bucket.to_url().rstrip("/") + cvat_cloudstorage_id=cvat_cloud_storage.id, + job_type=self.manifest.annotation.type, + escrow_address=self.escrow_address, + chain_id=self.chain_id, + bucket_url=oracle_bucket.to_url().rstrip("/") + "/" + compose_data_bucket_prefix(self.escrow_address, self.chain_id), cvat_webhook_id=cvat_webhook.id, + assignment_bounty=get_assignment_bounty( + self.manifest, + escrow_address=self.escrow_address, + chain_id=self.chain_id, + job_count=total_jobs, + ), ) db_service.get_project_by_id(session, project_id, for_update=True) # lock the row db_service.add_project_images( diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py index 31558143d6..ce9a86fdcf 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/vision/skeletons_from_boxes.py @@ -51,6 +51,7 @@ from src.handlers.job_creation.utils import ( MaybeUnset, filter_image_files, + get_assignment_bounty, make_cvat_cloud_storage_params, strip_bucket_prefix, unset, @@ -1328,14 +1329,20 @@ def _task_params_label_key(ts): project_id = db_service.create_project( session, cvat_project.id, - cvat_cloud_storage.id, - self.manifest.annotation.type, - self.escrow_address, - self.chain_id, - oracle_bucket.to_url().rstrip("/") + cvat_cloudstorage_id=cvat_cloud_storage.id, + job_type=self.manifest.annotation.type, + escrow_address=self.escrow_address, + chain_id=self.chain_id, + bucket_url=oracle_bucket.to_url().rstrip("/") + "/" + compose_data_bucket_prefix(self.escrow_address, self.chain_id), cvat_webhook_id=cvat_webhook.id, + assignment_bounty=get_assignment_bounty( + self.manifest, + escrow_address=self.escrow_address, + chain_id=self.chain_id, + job_count=total_jobs, + ), ) created_projects.append(project_id) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py index b9b957d580..5746ba5295 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/utils.py @@ -1,15 +1,18 @@ from __future__ import annotations import os +from decimal import Decimal from typing import TYPE_CHECKING, TypeVar from datumaro.util.image import IMAGE_EXTENSIONS import src.cvat.api_calls as cvat_api +from src.chain.escrow import get_escrow from src.core.tasks import TaskTypes from src.services.cloud import CloudProviders if TYPE_CHECKING: + from src.core.manifest import ManifestBase from src.core.manifest.v1 import JobManifest from src.services.cloud.utils import BucketAccessInfo @@ -36,6 +39,29 @@ def __bool__(self) -> bool: MaybeUnset = T | _Undefined +def get_assignment_bounty( + manifest: ManifestBase, escrow_address: str, chain_id: int, *, job_count: int +) -> str | None: + match manifest.version: + case 1: + return str(manifest.job_bounty) + case 2: + return _get_assignment_bounty_from_escrow(escrow_address, chain_id, job_count) + case _ as version: + raise NotImplementedError(f"Unexpected manifest version '{version}'") + + +def _get_assignment_bounty_from_escrow( + escrow_address: str, chain_id: int, job_count: int +) -> str | None: + # TODO: refine (fees, already-paid amount, token decimals). Rough split of the escrow's total + # funds across the jobs. + if not job_count: + return None + escrow = get_escrow(chain_id, escrow_address) + return str(Decimal(escrow.total_funded_amount) / job_count) + + def is_image(path: str) -> bool: trunk, ext = os.path.splitext(os.path.basename(path)) return trunk and ext.lower() in IMAGE_EXTENSIONS diff --git a/packages/examples/cvat/exchange-oracle/src/models/cvat.py b/packages/examples/cvat/exchange-oracle/src/models/cvat.py index bebe3e571d..8d6dcfaae5 100644 --- a/packages/examples/cvat/exchange-oracle/src/models/cvat.py +++ b/packages/examples/cvat/exchange-oracle/src/models/cvat.py @@ -30,6 +30,7 @@ class Project(BaseUUID): ) # TODO: extract into a separate model chain_id = Column(Integer, Enum(Networks), nullable=False) bucket_url = Column(String, nullable=False) + assignment_bounty = Column(String, nullable=True) created_at = Column(DateTime(timezone=True), server_default=func.now()) updated_at = Column(DateTime(timezone=True), onupdate=func.now()) cvat_webhook_id = Column(Integer, nullable=True) diff --git a/packages/examples/cvat/exchange-oracle/src/services/cvat.py b/packages/examples/cvat/exchange-oracle/src/services/cvat.py index 3c1b3ced80..1691cb0d10 100644 --- a/packages/examples/cvat/exchange-oracle/src/services/cvat.py +++ b/packages/examples/cvat/exchange-oracle/src/services/cvat.py @@ -54,6 +54,7 @@ def batched(iterable: Iterable, *, batch_size: int) -> Iterable[Any]: def create_project( session: Session, cvat_id: int, + *, cvat_cloudstorage_id: int, job_type: str, escrow_address: str, @@ -61,6 +62,7 @@ def create_project( bucket_url: str, cvat_webhook_id: int | None = None, status: ProjectStatuses = ProjectStatuses.creation, + assignment_bounty: str | None = None, ) -> str: """ Create a project from CVAT. @@ -76,6 +78,7 @@ def create_project( chain_id=chain_id, bucket_url=bucket_url, cvat_webhook_id=cvat_webhook_id, + assignment_bounty=assignment_bounty, ) session.add(project) diff --git a/packages/examples/cvat/exchange-oracle/tests/integration/services/test_cvat.py b/packages/examples/cvat/exchange-oracle/tests/integration/services/test_cvat.py index 5f43f03d69..9b38f5c68d 100644 --- a/packages/examples/cvat/exchange-oracle/tests/integration/services/test_cvat.py +++ b/packages/examples/cvat/exchange-oracle/tests/integration/services/test_cvat.py @@ -59,11 +59,11 @@ def test_create_project(self): p_id = cvat_service.create_project( self.session, cvat_id, - cvat_cloudstorage_id, - job_type, - escrow_address, - chain_id, - bucket_url, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=job_type, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=bucket_url, ) project = self.session.query(Project).filter_by(id=p_id).first() @@ -87,22 +87,22 @@ def test_create_duplicated_project(self): cvat_service.create_project( self.session, cvat_id, - cvat_cloudstorage_id, - job_type, - escrow_address, - chain_id, - bucket_url, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=job_type, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=bucket_url, ) self.session.commit() cvat_service.create_project( self.session, cvat_id, - cvat_cloudstorage_id, - job_type, - escrow_address, - chain_id, - bucket_url, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=job_type, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=bucket_url, ) with pytest.raises(IntegrityError): self.session.commit() @@ -116,11 +116,11 @@ def test_create_project_none_cvat_id(self): cvat_service.create_project( self.session, None, - cvat_cloudstorage_id, - job_type, - escrow_address, - chain_id, - bucket_url, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=job_type, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=bucket_url, ) with pytest.raises(IntegrityError): self.session.commit() @@ -134,11 +134,11 @@ def test_create_project_none_cvat_cloudstorage_id(self): cvat_service.create_project( self.session, cvat_id, - None, - job_type, - escrow_address, - chain_id, - bucket_url, + cvat_cloudstorage_id=None, + job_type=job_type, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=bucket_url, ) with pytest.raises(IntegrityError): self.session.commit() @@ -152,11 +152,11 @@ def test_create_project_none_job_type(self): cvat_service.create_project( self.session, cvat_id, - cvat_cloudstorage_id, - None, - escrow_address, - chain_id, - bucket_url, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=None, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=bucket_url, ) with pytest.raises(IntegrityError): self.session.commit() @@ -170,11 +170,11 @@ def test_create_project_none_escrow_address(self): cvat_service.create_project( self.session, cvat_id, - cvat_cloudstorage_id, - job_type, - None, - chain_id, - bucket_url, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=job_type, + escrow_address=None, + chain_id=chain_id, + bucket_url=bucket_url, ) with pytest.raises(IntegrityError): self.session.commit() @@ -189,11 +189,11 @@ def test_create_project_none_chain_id(self): cvat_service.create_project( self.session, cvat_id, - cvat_cloudstorage_id, - job_type, - escrow_address, - None, - bucket_url, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=job_type, + escrow_address=escrow_address, + chain_id=None, + bucket_url=bucket_url, ) with pytest.raises(IntegrityError): self.session.commit() @@ -207,11 +207,11 @@ def test_create_project_none_bucket_url(self): cvat_service.create_project( self.session, cvat_id, - cvat_cloudstorage_id, - job_type, - escrow_address, - chain_id, - None, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=job_type, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=None, ) with pytest.raises(IntegrityError): self.session.commit() @@ -226,11 +226,11 @@ def test_get_project_by_id(self): p_id = cvat_service.create_project( self.session, cvat_id, - cvat_cloudstorage_id, - job_type, - escrow_address, - chain_id, - bucket_url, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=job_type, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=bucket_url, status=ProjectStatuses.annotation, ) @@ -276,11 +276,11 @@ def test_get_project_by_escrow_address(self): p_id = cvat_service.create_project( self.session, cvat_id, - cvat_cloudstorage_id, - job_type, - escrow_address, - chain_id, - bucket_url, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=job_type, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=bucket_url, status=ProjectStatuses.annotation, ) @@ -309,11 +309,11 @@ def test_get_projects_by_status(self): p_id = cvat_service.create_project( self.session, cvat_id, - cvat_cloudstorage_id, - job_type, - escrow_address, - chain_id, - bucket_url, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=job_type, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=bucket_url, status=ProjectStatuses.annotation, ) @@ -325,11 +325,11 @@ def test_get_projects_by_status(self): cvat_service.create_project( self.session, cvat_id, - cvat_cloudstorage_id, - job_type, - escrow_address, - chain_id, - bucket_url, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=job_type, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=bucket_url, status=ProjectStatuses.annotation, ) @@ -341,11 +341,11 @@ def test_get_projects_by_status(self): cvat_service.create_project( self.session, cvat_id, - cvat_cloudstorage_id, - job_type, - escrow_address, - chain_id, - bucket_url, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=job_type, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=bucket_url, status=ProjectStatuses.annotation, ) @@ -494,11 +494,11 @@ def test_update_project_status(self): p_id = cvat_service.create_project( self.session, cvat_id, - cvat_cloudstorage_id, - job_type, - escrow_address, - chain_id, - bucket_url, + cvat_cloudstorage_id=cvat_cloudstorage_id, + job_type=job_type, + escrow_address=escrow_address, + chain_id=chain_id, + bucket_url=bucket_url, ) cvat_service.update_project_status(self.session, p_id, ProjectStatuses.completed) diff --git a/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py b/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py index 1ca543d56c..96c9247a2f 100644 --- a/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py +++ b/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py @@ -121,7 +121,7 @@ def _make_cvat_api_mock() -> Mock: return cvat_api -def cleanup_oracle_bucket(prefix: str = "/"): +def cleanup_oracle_bucket(prefix: str = ""): storage_client = make_client(BucketAccessInfo.parse_obj(Config.storage_config)) storage_client.remove_files(prefix=prefix) @@ -143,12 +143,19 @@ def test_create_audio_transcription_task(fxt_audio_transcription_input): manifest, ds_rois_tsv, gt_tsv = fxt_audio_transcription_input cvat_api = _make_cvat_api_mock() + escrow = Mock(total_funded_amount="40") with ( patch.object(handlers, "get_escrow_manifest", return_value=manifest), patch("src.handlers.job_creation.builders.audio.transcription.cvat_api", cvat_api), + patch( + "src.handlers.job_creation.utils.get_escrow", return_value=escrow + ) as mock_get_escrow, ): handlers.create_task(ESCROW_ADDRESS, CHAIN_ID) + # v2 manifest → per-assignment bounty derived from escrow funds / job count + mock_get_escrow.assert_called_once_with(CHAIN_ID, ESCROW_ADDRESS) + # Check CVAT API calls cvat_api.create_project.assert_called_once() cvat_api.create_cvat_webhook.assert_called_once() @@ -167,6 +174,7 @@ def test_create_audio_transcription_task(fxt_audio_transcription_input): assert project.cvat_cloudstorage_id == 100 assert project.job_type == TaskTypes.audio_transcription.value assert project.chain_id == CHAIN_ID + assert project.assignment_bounty == "10" # 40 escrow funds / 4 assignments tasks = db_service.get_tasks_by_cvat_project_id(session, project.cvat_id) assert len(tasks) == assignment_count From b1158308b0dc8af457d6da7411838c76d4c0376d Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Wed, 15 Jul 2026 17:40:13 +0300 Subject: [PATCH 52/53] Fix formatting --- .../exchange-oracle/tests/unit/test_audio_task_creation.py | 4 +--- .../examples/cvat/recording-oracle/.pre-commit-config.yaml | 4 ++-- packages/examples/cvat/recording-oracle/pyproject.toml | 3 ++- 3 files changed, 5 insertions(+), 6 deletions(-) diff --git a/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py b/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py index 96c9247a2f..2c853789f5 100644 --- a/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py +++ b/packages/examples/cvat/exchange-oracle/tests/unit/test_audio_task_creation.py @@ -147,9 +147,7 @@ def test_create_audio_transcription_task(fxt_audio_transcription_input): with ( patch.object(handlers, "get_escrow_manifest", return_value=manifest), patch("src.handlers.job_creation.builders.audio.transcription.cvat_api", cvat_api), - patch( - "src.handlers.job_creation.utils.get_escrow", return_value=escrow - ) as mock_get_escrow, + patch("src.handlers.job_creation.utils.get_escrow", return_value=escrow) as mock_get_escrow, ): handlers.create_task(ESCROW_ADDRESS, CHAIN_ID) diff --git a/packages/examples/cvat/recording-oracle/.pre-commit-config.yaml b/packages/examples/cvat/recording-oracle/.pre-commit-config.yaml index 395275745a..3211dfbcc9 100644 --- a/packages/examples/cvat/recording-oracle/.pre-commit-config.yaml +++ b/packages/examples/cvat/recording-oracle/.pre-commit-config.yaml @@ -3,14 +3,14 @@ repos: hooks: - id: lint name: lint - entry: ruff check --fix --unsafe-fixes --show-fixes + entry: ruff check --force-exclude --fix --unsafe-fixes --show-fixes language: system require_serial: true files: "^packages/examples/cvat/recording-oracle/.*" types: [python] - id: format name: format - entry: ruff format + entry: ruff format --force-exclude require_serial: true language: system files: "^packages/examples/cvat/recording-oracle/.*" diff --git a/packages/examples/cvat/recording-oracle/pyproject.toml b/packages/examples/cvat/recording-oracle/pyproject.toml index 2964c4b9c8..8ccea6d74a 100644 --- a/packages/examples/cvat/recording-oracle/pyproject.toml +++ b/packages/examples/cvat/recording-oracle/pyproject.toml @@ -36,12 +36,13 @@ ruff = "^0.6.0" [tool.ruff] line-length = 100 target-version = "py310" +extend-exclude = ["libs/"] [tool.ruff.lint] select = ["ALL"] unfixable = [ - "RUF005", # messes up concantenation with numpy structures + "RUF005", # messes up concatenation with numpy structures ] ignore = [ "W191", # Rules conflicting with ruff format (https://docs.astral.sh/ruff/formatter/#conflicting-lint-rules) From a953cc393cc02adff5eb0163aff09eb4420d949e Mon Sep 17 00:00:00 2001 From: Maxim Zhiltsov Date: Wed, 15 Jul 2026 18:18:36 +0300 Subject: [PATCH 53/53] Validate media file paths --- .../src/handlers/job_creation/builders/audio/transcription.py | 1 + 1 file changed, 1 insertion(+) diff --git a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py index 133786dd17..e8b6752a6f 100644 --- a/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py +++ b/packages/examples/cvat/exchange-oracle/src/handlers/job_creation/builders/audio/transcription.py @@ -303,6 +303,7 @@ def _download_input_data(self) -> None: media_paths: dict[str, Path] = {} for filename in sorted(referenced): local_path = media_dir / PurePosixPath(filename) + local_path = local_path.resolve().relative_to(media_dir) local_path.parent.mkdir(parents=True, exist_ok=True) data = media_client.download_file(_bucket_key(media_bucket.path, filename))