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94 changes: 94 additions & 0 deletions .github/workflows/aws.yml
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# This workflow will build and push a new container image to Amazon ECR,
# and then will deploy a new task definition to Amazon ECS, when there is a push to the "master" branch.
#
# To use this workflow, you will need to complete the following set-up steps:
#
# 1. Create an ECR repository to store your images.
# For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`.
# Replace the value of the `ECR_REPOSITORY` environment variable in the workflow below with your repository's name.
# Replace the value of the `AWS_REGION` environment variable in the workflow below with your repository's region.
#
# 2. Create an ECS task definition, an ECS cluster, and an ECS service.
# For example, follow the Getting Started guide on the ECS console:
# https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun
# Replace the value of the `ECS_SERVICE` environment variable in the workflow below with the name you set for the Amazon ECS service.
# Replace the value of the `ECS_CLUSTER` environment variable in the workflow below with the name you set for the cluster.
#
# 3. Store your ECS task definition as a JSON file in your repository.
# The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`.
# Replace the value of the `ECS_TASK_DEFINITION` environment variable in the workflow below with the path to the JSON file.
# Replace the value of the `CONTAINER_NAME` environment variable in the workflow below with the name of the container
# in the `containerDefinitions` section of the task definition.
#
# 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`.
# See the documentation for each action used below for the recommended IAM policies for this IAM user,
# and best practices on handling the access key credentials.

name: Deploy to Amazon ECS

on:
push:
branches: [ "master" ]

env:
AWS_REGION: MY_AWS_REGION # set this to your preferred AWS region, e.g. us-west-1
ECR_REPOSITORY: MY_ECR_REPOSITORY # set this to your Amazon ECR repository name
ECS_SERVICE: MY_ECS_SERVICE # set this to your Amazon ECS service name
ECS_CLUSTER: MY_ECS_CLUSTER # set this to your Amazon ECS cluster name
ECS_TASK_DEFINITION: MY_ECS_TASK_DEFINITION # set this to the path to your Amazon ECS task definition
# file, e.g. .aws/task-definition.json
CONTAINER_NAME: MY_CONTAINER_NAME # set this to the name of the container in the
# containerDefinitions section of your task definition

permissions:
contents: read

jobs:
deploy:
name: Deploy
runs-on: ubuntu-latest
environment: production

steps:
- name: Checkout
uses: actions/checkout@v4

- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v1
with:
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws-region: ${{ env.AWS_REGION }}

- name: Login to Amazon ECR
id: login-ecr
uses: aws-actions/amazon-ecr-login@v1

- name: Build, tag, and push image to Amazon ECR
id: build-image
env:
ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
IMAGE_TAG: ${{ github.sha }}
run: |
# Build a docker container and
# push it to ECR so that it can
# be deployed to ECS.
docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
echo "image=$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG" >> $GITHUB_OUTPUT

- name: Fill in the new image ID in the Amazon ECS task definition
id: task-def
uses: aws-actions/amazon-ecs-render-task-definition@v1
with:
task-definition: ${{ env.ECS_TASK_DEFINITION }}
container-name: ${{ env.CONTAINER_NAME }}
image: ${{ steps.build-image.outputs.image }}

- name: Deploy Amazon ECS task definition
uses: aws-actions/amazon-ecs-deploy-task-definition@v1
with:
task-definition: ${{ steps.task-def.outputs.task-definition }}
service: ${{ env.ECS_SERVICE }}
cluster: ${{ env.ECS_CLUSTER }}
wait-for-service-stability: true
78 changes: 78 additions & 0 deletions .github/workflows/azure-webapps-node.yml
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# This workflow will build and push a node.js application to an Azure Web App when a commit is pushed to your default branch.
#
# This workflow assumes you have already created the target Azure App Service web app.
# For instructions see https://docs.microsoft.com/en-us/azure/app-service/quickstart-nodejs?tabs=linux&pivots=development-environment-cli
#
# To configure this workflow:
#
# 1. Download the Publish Profile for your Azure Web App. You can download this file from the Overview page of your Web App in the Azure Portal.
# For more information: https://docs.microsoft.com/en-us/azure/app-service/deploy-github-actions?tabs=applevel#generate-deployment-credentials
#
# 2. Create a secret in your repository named AZURE_WEBAPP_PUBLISH_PROFILE, paste the publish profile contents as the value of the secret.
# For instructions on obtaining the publish profile see: https://docs.microsoft.com/azure/app-service/deploy-github-actions#configure-the-github-secret
#
# 3. Change the value for the AZURE_WEBAPP_NAME. Optionally, change the AZURE_WEBAPP_PACKAGE_PATH and NODE_VERSION environment variables below.
#
# For more information on GitHub Actions for Azure: https://github.com/Azure/Actions
# For more information on the Azure Web Apps Deploy action: https://github.com/Azure/webapps-deploy
# For more samples to get started with GitHub Action workflows to deploy to Azure: https://github.com/Azure/actions-workflow-samples

on:
push:
branches: [ "master" ]
workflow_dispatch:

env:
AZURE_WEBAPP_NAME: your-app-name # set this to your application's name
AZURE_WEBAPP_PACKAGE_PATH: '.' # set this to the path to your web app project, defaults to the repository root
NODE_VERSION: '20.x' # set this to the node version to use

permissions:
contents: read

jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4

- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: ${{ env.NODE_VERSION }}
cache: 'npm'

- name: npm install, build, and test
run: |
npm install
npm run build --if-present
npm run test --if-present

- name: Upload artifact for deployment job
uses: actions/upload-artifact@v4
with:
name: node-app
path: .

deploy:
permissions:
contents: none
runs-on: ubuntu-latest
needs: build
environment:
name: 'Development'
url: ${{ steps.deploy-to-webapp.outputs.webapp-url }}

steps:
- name: Download artifact from build job
uses: actions/download-artifact@v4
with:
name: node-app

- name: 'Deploy to Azure WebApp'
id: deploy-to-webapp
uses: azure/webapps-deploy@v2
with:
app-name: ${{ env.AZURE_WEBAPP_NAME }}
publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
package: ${{ env.AZURE_WEBAPP_PACKAGE_PATH }}
36 changes: 36 additions & 0 deletions .github/workflows/blank.yml
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# This is a basic workflow to help you get started with Actions

name: CI

# Controls when the workflow will run
on:
# Triggers the workflow on push or pull request events but only for the "master" branch
push:
branches: [ "master" ]
pull_request:
branches: [ "master" ]

# Allows you to run this workflow manually from the Actions tab
workflow_dispatch:

# A workflow run is made up of one or more jobs that can run sequentially or in parallel
jobs:
# This workflow contains a single job called "build"
build:
# The type of runner that the job will run on
runs-on: ubuntu-latest

# Steps represent a sequence of tasks that will be executed as part of the job
steps:
# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
- uses: actions/checkout@v4

# Runs a single command using the runners shell
- name: Run a one-line script
run: echo Hello, world!

# Runs a set of commands using the runners shell
- name: Run a multi-line script
run: |
echo Add other actions to build,
echo test, and deploy your project.
99 changes: 99 additions & 0 deletions .github/workflows/codeql.yml
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# For most projects, this workflow file will not need changing; you simply need
# to commit it to your repository.
#
# You may wish to alter this file to override the set of languages analyzed,
# or to provide custom queries or build logic.
#
# ******** NOTE ********
# We have attempted to detect the languages in your repository. Please check
# the `language` matrix defined below to confirm you have the correct set of
# supported CodeQL languages.
#
name: "CodeQL Advanced"

on:
push:
branches: [ "master" ]
pull_request:
branches: [ "master" ]
schedule:
- cron: '26 11 * * 5'

jobs:
analyze:
name: Analyze (${{ matrix.language }})
# Runner size impacts CodeQL analysis time. To learn more, please see:
# - https://gh.io/recommended-hardware-resources-for-running-codeql
# - https://gh.io/supported-runners-and-hardware-resources
# - https://gh.io/using-larger-runners (GitHub.com only)
# Consider using larger runners or machines with greater resources for possible analysis time improvements.
runs-on: ${{ (matrix.language == 'swift' && 'macos-latest') || 'ubuntu-latest' }}
permissions:
# required for all workflows
security-events: write

# required to fetch internal or private CodeQL packs
packages: read

# only required for workflows in private repositories
actions: read
contents: read

strategy:
fail-fast: false
matrix:
include:
- language: actions
build-mode: none
# CodeQL supports the following values keywords for 'language': 'actions', 'c-cpp', 'csharp', 'go', 'java-kotlin', 'javascript-typescript', 'python', 'ruby', 'rust', 'swift'
# Use `c-cpp` to analyze code written in C, C++ or both
# Use 'java-kotlin' to analyze code written in Java, Kotlin or both
# Use 'javascript-typescript' to analyze code written in JavaScript, TypeScript or both
# To learn more about changing the languages that are analyzed or customizing the build mode for your analysis,
# see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/customizing-your-advanced-setup-for-code-scanning.
# If you are analyzing a compiled language, you can modify the 'build-mode' for that language to customize how
# your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages
steps:
- name: Checkout repository
uses: actions/checkout@v4

# Add any setup steps before running the `github/codeql-action/init` action.
# This includes steps like installing compilers or runtimes (`actions/setup-node`
# or others). This is typically only required for manual builds.
# - name: Setup runtime (example)
# uses: actions/setup-example@v1

# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL
uses: github/codeql-action/init@v4
with:
languages: ${{ matrix.language }}
build-mode: ${{ matrix.build-mode }}
# If you wish to specify custom queries, you can do so here or in a config file.
# By default, queries listed here will override any specified in a config file.
# Prefix the list here with "+" to use these queries and those in the config file.

# For more details on CodeQL's query packs, refer to: https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
# queries: security-extended,security-and-quality

# If the analyze step fails for one of the languages you are analyzing with
# "We were unable to automatically build your code", modify the matrix above
# to set the build mode to "manual" for that language. Then modify this step
# to build your code.
# ℹ️ Command-line programs to run using the OS shell.
# 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
- name: Run manual build steps
if: matrix.build-mode == 'manual'
shell: bash
run: |
echo 'If you are using a "manual" build mode for one or more of the' \
'languages you are analyzing, replace this with the commands to build' \
'your code, for example:'
echo ' make bootstrap'
echo ' make release'
exit 1

- name: Perform CodeQL Analysis
uses: github/codeql-action/analyze@v4
with:
category: "/language:${{matrix.language}}"
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