Disha/.github/workflows/ai-platform-ci.yml at 85d05464f48531287709600f410248bced600686 · Tashima-Tarsh/Disha · GitHub

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name: AI Platform CI

on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  lint-python:
    name: Lint Python (AI Platform)
    runs-on: ubuntu-latest
    env:
      AI_PLATFORM_BACKEND_DIR: legacy/disha-agi-brain/backend
    steps:
      - uses: actions/checkout@v4

      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.11"

      - name: Install ruff
        run: pip install ruff

      - name: Lint with ruff
        run: |
          if [ -d "${AI_PLATFORM_BACKEND_DIR}/app" ]; then
            ruff check "${AI_PLATFORM_BACKEND_DIR}/app/" --output-format=github
          else
            echo "No AI platform app directory at ${AI_PLATFORM_BACKEND_DIR}/app; skipping lint."
          fi

      - name: Format check with ruff
        run: |
          if [ -d "${AI_PLATFORM_BACKEND_DIR}/app" ]; then
            ruff format "${AI_PLATFORM_BACKEND_DIR}/app/" --check
          else
            echo "No AI platform app directory at ${AI_PLATFORM_BACKEND_DIR}/app; skipping format check."
          fi

  test-python:
    name: Test Python (AI Platform)
    runs-on: ubuntu-latest
    env:
      PYTHONPATH: ${{ github.workspace }}
      DISHA_MODEL_PROVIDER: mock
      AI_PLATFORM_BACKEND_DIR: legacy/disha-agi-brain/backend

    steps:
      - uses: actions/checkout@v4

      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.11"
          cache: 'pip'

      - name: Install CPU-only PyTorch
        run: |
          pip install --upgrade pip
          pip install torch --index-url https://download.pytorch.org/whl/cpu

      - name: Install project dependencies
        run: |
          pip install -r "${AI_PLATFORM_BACKEND_DIR}/requirements.txt"
          pip install -r disha/ai/core/decision_engine/requirements.txt

      - name: Run tests
        run: |
          if [ -d "${AI_PLATFORM_BACKEND_DIR}/tests" ]; then
            python -m pytest "${AI_PLATFORM_BACKEND_DIR}/tests/" \
              -v --tb=short -p no:cacheprovider \
              --ignore="${AI_PLATFORM_BACKEND_DIR}/tests/test_trained_models.py"
          else
            echo "No AI platform tests directory at ${AI_PLATFORM_BACKEND_DIR}/tests; skipping test run."
          fi

      - name: Run trained-model tests (checkpoint-dependent)
        run: |
          if [ -f "${AI_PLATFORM_BACKEND_DIR}/tests/test_trained_models.py" ]; then
            python -m pytest \
              "${AI_PLATFORM_BACKEND_DIR}/tests/test_trained_models.py" \
              -v --tb=short -p no:cacheprovider
          else
            echo "No trained-model test file found; skipping checkpoint-dependent tests."
          fi