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Feat/rust time series store - #153

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Feat/rust time series store#153
jd-lara wants to merge 4 commits into
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feat/rust-time-series-store

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@jd-lara

@jd-lara jd-lara commented Aug 19, 2026

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Thanks for opening a PR to InfrastructureOptimizationModels.jl, please take note of the following when making a PR:

Check the contributor guidelines

daniel-thom and others added 4 commits July 28, 2026 18:01
@daniel-thom
Add support for InfraStore.jl
fc1f68e
@daniel-thom
Fix additional porting issues due to InfraStore
736b64d
@jd-lara
Merge branch 'jd/network-sources' into feat/rust-time-series-store
a13d1ca 
# Conflicts:
#	Project.toml
@jd-lara
Name the serialized system as a bundle directory; key outages by IS id
f539ac2 
A serialized System is a directory (document plus time-series sidecar), not a
single file, so `make_system_filename` becomes `make_system_dirname` and drops
the `.json` extension.

Delete `load_system`. It called `IS.InfrastructureSystemsContainer(file)` — a
constructor on an abstract type, so it could never have run — and its only
reference was a commented-out line in the emulation test. IOM cannot rebuild a
System from the bundle anyway; that needs PSY, and PowerAnalytics' `load_outputs`
covers the round-trip.

`IS.get_uuid` no longer exists: components and supplemental attributes are
identified by an integer IS id, and the System's UUID is the only one left. So
`DeviceModel`/`ServiceModel` key their outages by `Int`, and the two system-UUID
reads in `problem_outputs.jl` go through the existing domain-neutral
`get_system_uuid` seam rather than reaching for a deleted IS function.

Drop the UUID check from `set_source_data!` for the same reason: resolving a
domain system's UUID needs PSY, which IOM does not depend on. The check moves to
callers that can make it — PowerAnalytics' two-argument `load_outputs`.

Pin PowerCoreOpenAPIModels to feat/infrastore-integration, matching the IS branch:
`TimeSeriesAssociation` there drops time_series_uuid/metadata_uuid and adds
quantity_type/unit_system, which is the shape IS now writes.
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github-actions Bot commented Aug 19, 2026

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Performance Results
Main

Network: 10 nodes, 13 edges, 3 cost segments
Generators: 5, Demands: 5
Loss coefficients (a, b, c) per generator:
  n1: a=0.007287  b=0.005968  c=0.003850
  n2: a=0.001094  b=0.009002  c=0.007028
  n3: a=0.007897  b=0.008552  c=0.003001
  n4: a=0.008179  b=0.002530  c=0.009637
  n5: a=0.009778  b=0.009934  c=0.009099

Solver logs: /home/runner/work/InfrastructureOptimizationModels.jl/InfrastructureOptimizationModels.jl/main/test/performance/logs/solver_2026-08-19T17-23-28.log

==============================================================================================================================================
Bilinear Approximation Benchmarks
  Refinement = depth for all methods
==============================================================================================================================================
Method          R   Vars Constrs   Bins    Objective   Gap(%) MIPGap(%)     LowerBnd  rmse δbi   max δbi   rmse δq    max δq  build_t  solve_t
----------------------------------------------------------------------------------------------------------------------------------------------
NLP (Ipopt)     -     40     105      0     0.956760        -         -            -  0.00e+00  0.00e+00  0.00e+00  0.00e+00   0.0269   0.0039

NLP (Uno)       -     40     105      0     0.956760   0.0000         -            -  0.00e+00  0.00e+00  0.00e+00  0.00e+00   0.0013   0.0010

Bin2+sSOS       4    190     535      0     1.180700  23.4061    0.0000     1.180700  8.07e-02  1.41e-01  2.49e+01  5.48e+01   0.0055   1.4187
Bin2+sSOS       6    250     655      0     1.098175  14.7806    0.0000     1.098175  1.26e-01  2.86e-01  5.47e+00  9.07e+00   0.0060   6.0194
Bin2+sSOS       8    310     775      0     1.053069  10.0661    0.0088     1.052976  8.62e-02  2.43e-01  4.18e+01  9.32e+01   0.0059  21.4736

Bin2+mSOS       4    310     805    120     1.180700  23.4061    0.0000     1.180700  8.07e-02  1.41e-01  2.49e+01  5.48e+01   0.0021   1.3952
Bin2+mSOS       6    430    1045    180     1.098175  14.7806    0.0092     1.098074  1.26e-01  2.86e-01  5.47e+00  9.07e+00   0.0170   6.0965
Bin2+mSOS       8    550    1285    240     1.053069  10.0661    0.0045     1.053021  8.62e-02  2.43e-01  4.18e+01  9.32e+01   0.0023  14.6468

Bin2+Saw        4    310    1075    120     0.985823   3.0376    0.0000     0.985823  1.08e-01  2.49e-01  1.11e+02  2.44e+02   0.0028   4.7889
Bin2+Saw        6    430    1495    180     0.958677   0.2004    0.0077     0.958603  7.52e-02  1.68e-01  8.94e+01  1.71e+02   0.0033  10.8538
Bin2+Saw        8    550    1915    240     0.956996   0.0247    0.0072     0.956927  7.52e-02  1.68e-01  1.37e+02  2.09e+02   0.0039  40.9843

HybS+sSOS       4    310    1165      0     0.812261  15.1030    0.0000     0.812261  5.52e-01  1.00e+00  2.04e+02  2.97e+02   0.0068   2.1716
HybS+sSOS       6    410    1545      0     0.891208   6.8515    0.0000     0.891208  5.49e-01  1.00e+00  3.69e+02  7.09e+02   0.0071   3.9869
HybS+sSOS       8    510    1925      0     0.934789   2.2965    0.0087     0.934707  5.48e-01  1.00e+00  3.47e+02  5.22e+02   0.0076  12.5643

HybS+mSOS       4    390    1345     80     0.812261  15.1030    0.0046     0.812224  5.52e-01  1.00e+00  2.04e+02  2.97e+02   0.0031   2.3485
HybS+mSOS       6    530    1805    120     0.891208   6.8515    0.0000     0.891208  5.49e-01  1.00e+00  3.69e+02  7.09e+02   0.0036   5.0437
HybS+mSOS       8    670    2265    160     0.934789   2.2965    0.0047     0.934744  5.48e-01  1.00e+00  3.47e+02  5.22e+02   0.0040  13.0548

HybS+Saw        4    390    1525     80     0.951869   0.5113    0.0021     0.951849  5.48e-01  1.00e+00  2.16e+03  4.23e+03   0.0035  10.9423
HybS+Saw        6    530    2105    120     0.956386   0.0391    0.0099     0.956291  5.48e-01  1.00e+00  4.57e+02  7.57e+02   0.0039  27.1672
HybS+Saw        8    670    2685    160     0.956734   0.0027    0.0014     0.956721  5.48e-01  1.00e+00  6.08e+00  1.07e+01   0.0049  86.1369

DNMDT           4    395    1640     80     0.954878   0.1967    0.0004     0.954874  1.39e-03  3.13e-03  4.70e-04  1.05e-03   0.0027   3.1265
DNMDT           6    550    2315    120     0.956636   0.0130    0.0098     0.956541  6.75e-05  1.57e-04  4.26e+03  9.54e+03   0.0031  13.9334

This branch

Network: 10 nodes, 13 edges, 3 cost segments
Generators: 5, Demands: 5
Loss coefficients (a, b, c) per generator:
  n1: a=0.007287  b=0.005968  c=0.003850
  n2: a=0.001094  b=0.009002  c=0.007028
  n3: a=0.007897  b=0.008552  c=0.003001
  n4: a=0.008179  b=0.002530  c=0.009637
  n5: a=0.009778  b=0.009934  c=0.009099

Solver logs: /home/runner/work/InfrastructureOptimizationModels.jl/InfrastructureOptimizationModels.jl/branch/test/performance/logs/solver_2026-08-19T17-29-47.log

==============================================================================================================================================
Bilinear Approximation Benchmarks
  Refinement = depth for all methods
==============================================================================================================================================
Method          R   Vars Constrs   Bins    Objective   Gap(%) MIPGap(%)     LowerBnd  rmse δbi   max δbi   rmse δq    max δq  build_t  solve_t
----------------------------------------------------------------------------------------------------------------------------------------------
NLP (Ipopt)     -     40     105      0     0.956760        -         -            -  0.00e+00  0.00e+00  0.00e+00  0.00e+00   0.0278   0.0040

NLP (Uno)       -     40     105      0     0.956760   0.0000         -            -  0.00e+00  0.00e+00  0.00e+00  0.00e+00   0.0014   0.0011

Bin2+sSOS       4    190     535      0     1.180700  23.4061    0.0000     1.180700  8.07e-02  1.41e-01  2.49e+01  5.48e+01   0.0055   1.4193
Bin2+sSOS       6    250     655      0     1.098175  14.7806    0.0000     1.098175  1.26e-01  2.86e-01  5.47e+00  9.07e+00   0.0060   6.0138
Bin2+sSOS       8    310     775      0     1.053069  10.0661    0.0088     1.052976  8.62e-02  2.43e-01  4.18e+01  9.32e+01   0.0204  21.7685

Bin2+mSOS       4    310     805    120     1.180700  23.4061    0.0000     1.180700  8.07e-02  1.41e-01  2.49e+01  5.48e+01   0.0022   1.4081
Bin2+mSOS       6    430    1045    180     1.098175  14.7806    0.0092     1.098074  1.26e-01  2.86e-01  5.47e+00  9.07e+00   0.0022   6.0790
Bin2+mSOS       8    550    1285    240     1.053069  10.0661    0.0045     1.053021  8.62e-02  2.43e-01  4.18e+01  9.32e+01   0.0024  14.6553

Bin2+Saw        4    310    1075    120     0.985823   3.0376    0.0000     0.985823  1.08e-01  2.49e-01  1.11e+02  2.44e+02   0.0029   4.7375
Bin2+Saw        6    430    1495    180     0.958677   0.2004    0.0077     0.958603  7.52e-02  1.68e-01  8.94e+01  1.71e+02   0.0034  10.8109
Bin2+Saw        8    550    1915    240     0.956996   0.0247    0.0072     0.956927  7.52e-02  1.68e-01  1.37e+02  2.09e+02   0.0039  41.0489

HybS+sSOS       4    310    1165      0     0.812261  15.1030    0.0000     0.812261  5.52e-01  1.00e+00  2.04e+02  2.97e+02   0.0069   2.1653
HybS+sSOS       6    410    1545      0     0.891208   6.8515    0.0000     0.891208  5.49e-01  1.00e+00  3.69e+02  7.09e+02   0.0073   3.9850
HybS+sSOS       8    510    1925      0     0.934789   2.2965    0.0087     0.934707  5.48e-01  1.00e+00  3.47e+02  5.22e+02   0.0079  12.6062

HybS+mSOS       4    390    1345     80     0.812261  15.1030    0.0046     0.812224  5.52e-01  1.00e+00  2.04e+02  2.97e+02   0.0031   2.3637
HybS+mSOS       6    530    1805    120     0.891208   6.8515    0.0000     0.891208  5.49e-01  1.00e+00  3.69e+02  7.09e+02   0.0036   5.0436
HybS+mSOS       8    670    2265    160     0.934789   2.2965    0.0047     0.934744  5.48e-01  1.00e+00  3.47e+02  5.22e+02   0.0041  13.1650

HybS+Saw        4    390    1525     80     0.951869   0.5113    0.0021     0.951849  5.48e-01  1.00e+00  2.16e+03  4.23e+03   0.0035  11.0762
HybS+Saw        6    530    2105    120     0.956386   0.0391    0.0099     0.956291  5.48e-01  1.00e+00  4.57e+02  7.57e+02   0.0041  27.2322
HybS+Saw        8    670    2685    160     0.956734   0.0027    0.0014     0.956721  5.48e-01  1.00e+00  6.08e+00  1.07e+01   0.0049  86.5664

DNMDT           4    395    1640     80     0.954878   0.1967    0.0004     0.954874  1.39e-03  3.13e-03  4.70e-04  1.05e-03   0.0028   3.1492
DNMDT           6    550    2315    120     0.956636   0.0130    0.0098     0.956541  6.75e-05  1.57e-04  4.26e+03  9.54e+03   0.0032  13.9154

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@jd-lara @daniel-thom