docs-sample-apps/.github/workflows/run-python-tests.yml at cd97009781420fe468471fd3daa553e18a45fab8 · mongodb/docs-sample-apps · GitHub

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name: Run Python Tests

on:
  pull_request:
    branches:
      - development
    paths:
      - 'mflix/server/python-fastapi/**'
  push:
    branches:
      - development
    paths:
      - 'mflix/server/python-fastapi/**'

jobs:
  test:
    name: Run Python Tests
    runs-on: ubuntu-latest

    steps:
      - name: Checkout code
        uses: actions/checkout@v5

      - name: Install Atlas CLI
        run: |
          curl https://fastdl.mongodb.org/mongocli/mongodb-atlas-cli_1.47.0_linux_x86_64.deb --output atlas-cli.deb
          sudo apt install ./atlas-cli.deb

      - name: Set up a local deployment using Atlas CLI
        run: |
          atlas deployments setup myLocalRs1 --type local --port 27017 --force

      - name: Install MongoDB Database Tools to load sample data
        run: |
          curl https://fastdl.mongodb.org/tools/db/mongodb-database-tools-ubuntu2204-x86_64-100.13.0.deb --output mdb-db-tools.deb
          sudo apt install ./mdb-db-tools.deb

      - name: Download sample data
        run: curl https://atlas-education.s3.amazonaws.com/sampledata.archive -o sampledata.archive

      - name: Add sample data to database
        run: mongorestore --archive=sampledata.archive --port=27017

      - name: Setup Database (Data & Indexes)
        run: |
          # ---------------------------------------------------------
          # 1. Prepare the Search Index Definition
          # ---------------------------------------------------------
          echo '{
            "mappings": {
              "dynamic": false,
              "fields": {
                "plot": {"type": "string", "analyzer": "lucene.standard"},
                "fullplot": {"type": "string", "analyzer": "lucene.standard"},
                "directors": {"type": "string", "analyzer": "lucene.standard"},
                "writers": {"type": "string", "analyzer": "lucene.standard"},
                "cast": {"type": "string", "analyzer": "lucene.standard"}
              }
            }
          }' > search_index.json

          # 3. Create the Search Index
          atlas deployments search indexes create movieSearchIndex \
            --deploymentName myLocalRs1 \
            --db sample_mflix \
            --collection movies \
            --file search_index.json

          # ---------------------------------------------------------
          # 2. Prepare the Vector Index Definition
          # ---------------------------------------------------------
          echo '{
            "fields": [
              {
                "type": "vector",
                "path": "plot_embedding_voyage_3_large",
                "numDimensions": 2048,
                "similarity": "cosine"
              }
            ]
          }' > vector_index.json

          # 4. Create the Vector Index
          atlas deployments search indexes create vector_index \
            --deploymentName myLocalRs1 \
            --db sample_mflix \
            --collection embedded_movies \
            --type vectorSearch \
            --file vector_index.json

          # ---------------------------------------------------------
          # 6. Wait for indexes to build
          # ---------------------------------------------------------
          echo "Waiting for indexes to build..."
          sleep 20

      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.13'
          cache: 'pip'
          cache-dependency-path: mflix/server/python-fastapi/requirements.txt

      - name: Install dependencies
        working-directory: mflix/server/python-fastapi
        run: |
          python -m pip install --upgrade pip
          pip install -r requirements.txt

      - name: Run unit tests
        working-directory: mflix/server/python-fastapi
        run: pytest -m unit --verbose --tb=short --junit-xml=test-results-unit.xml
        env:
          MONGO_URI: mongodb://localhost:27017
          MONGO_DB: sample_mflix

      - name: Run integration tests
        working-directory: mflix/server/python-fastapi
        run: pytest -m integration --verbose --tb=short --junit-xml=test-results-integration.xml || true
        env:
          MONGO_URI: mongodb://localhost:27017/?directConnection=true
          MONGO_DB: sample_mflix

      - name: Upload test results
        uses: actions/upload-artifact@v4
        if: always()
        with:
          name: test-results
          path: |
            mflix/server/python-fastapi/test-results-unit.xml
            mflix/server/python-fastapi/test-results-integration.xml
            mflix/server/python-fastapi/htmlcov/
          retention-days: 30

      - name: Generate Test Summary
        if: always()
        run: |
          chmod +x .github/scripts/generate-test-summary-pytest.sh
          .github/scripts/generate-test-summary-pytest.sh \
            mflix/server/python-fastapi/test-results-unit.xml \
            mflix/server/python-fastapi/test-results-integration.xml