pr_tests.yml

name: pr_tests

on:
  pull_request:

concurrency: dbt_integration_and_unit_tests

env:
  # Set profiles.yml directory
  DBT_PROFILES_DIR: ./ci

  # Redshift Connection
  REDSHIFT_TEST_HOST: ${{ secrets.REDSHIFT_TEST_HOST }}
  REDSHIFT_TEST_USER: ${{ secrets.REDSHIFT_TEST_USER }}
  REDSHIFT_TEST_PASS: ${{ secrets.REDSHIFT_TEST_PASS }}
  REDSHIFT_TEST_DBNAME: ${{ secrets.REDSHIFT_TEST_DBNAME }}
  REDSHIFT_TEST_PORT: ${{ secrets.REDSHIFT_TEST_PORT }}

  # BigQuery Connection
  BIGQUERY_TEST_DATABASE: ${{ secrets.BIGQUERY_TEST_DATABASE }}
  BIGQUERY_LOCATION: ${{ secrets.BIGQUERY_LOCATION }}
  BIGQUERY_SERVICE_TYPE: ${{ secrets.BIGQUERY_SERVICE_TYPE }}
  BIGQUERY_SERVICE_PROJECT_ID: ${{ secrets.BIGQUERY_SERVICE_PROJECT_ID }}
  BIGQUERY_SERVICE_PRIVATE_KEY_ID: ${{ secrets.BIGQUERY_SERVICE_PRIVATE_KEY_ID }}
  BIGQUERY_SERVICE_PRIVATE_KEY: ${{ secrets.BIGQUERY_SERVICE_PRIVATE_KEY }}
  BIGQUERY_SERVICE_CLIENT_EMAIL: ${{ secrets.BIGQUERY_SERVICE_CLIENT_EMAIL }}
  BIGQUERY_SERVICE_CLIENT_ID: ${{ secrets.BIGQUERY_SERVICE_CLIENT_ID }}
  BIGQUERY_SERVICE_AUTH_URI: ${{ secrets.BIGQUERY_SERVICE_AUTH_URI }}
  BIGQUERY_SERVICE_TOKEN_URI: ${{ secrets.BIGQUERY_SERVICE_TOKEN_URI }}
  BIGQUERY_SERVICE_AUTH_PROVIDER_X509_CERT_URL: ${{ secrets.BIGQUERY_SERVICE_AUTH_PROVIDER_X509_CERT_URL }}
  BIGQUERY_SERVICE_CLIENT_X509_CERT_URL: ${{ secrets.BIGQUERY_SERVICE_CLIENT_X509_CERT_URL }}

  # Snowflake Connection
  SNOWFLAKE_TEST_ACCOUNT: ${{ secrets.SNOWFLAKE_TEST_ACCOUNT }}
  SNOWFLAKE_TEST_USER: ${{ secrets.SNOWFLAKE_TEST_USER }}
  SNOWFLAKE_TEST_PASSWORD: ${{ secrets.SNOWFLAKE_TEST_PASSWORD }}
  SNOWFLAKE_TEST_ROLE: ${{ secrets.SNOWFLAKE_TEST_ROLE }}
  SNOWFLAKE_TEST_DATABASE: ${{ secrets.SNOWFLAKE_TEST_DATABASE }}
  SNOWFLAKE_TEST_WAREHOUSE: ${{ secrets.SNOWFLAKE_TEST_WAREHOUSE }}

  # Postgres Connection
  POSTGRES_TEST_USER: ${{ secrets.POSTGRES_TEST_USER }}
  POSTGRES_TEST_PASS: ${{ secrets.POSTGRES_TEST_PASS }}
  POSTGRES_TEST_DBNAME: ${{ secrets.POSTGRES_TEST_DBNAME }}
  POSTGRES_TEST_HOST: ${{ secrets.POSTGRES_TEST_HOST }}
  POSTGRES_TEST_PORT: ${{ secrets.POSTGRES_TEST_PORT }}

  DATABRICKS_TEST_HOST: ${{ secrets.DATABRICKS_TEST_HOST }}
  DATABRICKS_TEST_HTTP_PATH: ${{ secrets.DATABRICKS_TEST_HTTP_PATH }}
  DATABRICKS_TEST_TOKEN: ${{ secrets.DATABRICKS_TEST_TOKEN }}
  DATABRICKS_TEST_ENDPOINT: ${{ secrets.DATABRICKS_TEST_ENDPOINT }}

jobs:
  pr_tests:
    name: pr_tests
    runs-on: ubuntu-latest
    defaults:
      run:
        # Run tests from pr_tests sub dir which is a dbt repository that references the latest snowplow-utils package
        working-directory: ./integration_tests
    strategy:
      fail-fast: false
      matrix:
        dbt_version: ["1.*"]
        warehouse: ["postgres", "bigquery", "snowflake", "databricks", "redshift", "spark_iceberg"] # TODO: Add RS self-hosted runner
    services:
      postgres:
        image: postgres:latest
        env:
          POSTGRES_DB: ${{ secrets.POSTGRES_TEST_DBNAME }}
          POSTGRES_USER: ${{ secrets.POSTGRES_TEST_USER }}
          POSTGRES_PASSWORD: ${{ secrets.POSTGRES_TEST_PASS }}
        # Set health checks to wait until postgres has started
        options: >-
          --health-cmd pg_isready
          --health-interval 10s
          --health-timeout 5s
          --health-retries 5
        ports:
          # Maps tcp port 5432 on service container to the host
          - 5432:5432

    steps:
      - name: Check out
        uses: actions/checkout@v3
      - name: Get branch name
        id: vars
        # This needs surfaced for below 'run unit tests' step which may run on specific branch only
        run:
          if [ "${{ github.base_ref }}" = "main" ]; then
            echo "BRANCH=release" >> $GITHUB_ENV
          else
            echo "BRANCH=${{ github.head_ref }}" >> $GITHUB_ENV
          fi
      - name: Configure Docker credentials
        uses: docker/login-action@v2
        with:
          username: ${{ secrets.DOCKERHUB_SNOWPLOWCI_READ_USERNAME }}
          password: ${{ secrets.DOCKERHUB_SNOWPLOWCI_READ_PASSWORD }}
      - 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: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          aws-region: eu-west-1
      - name: Set warehouse variables
        id: set_warehouse
        run: |
          echo "WAREHOUSE_PLATFORM=$(echo ${{ matrix.warehouse }} | cut -d'_' -f1)" >> $GITHUB_ENV
          echo "WAREHOUSE_SPECIFIC=$(echo ${{ matrix.warehouse }} | cut -s -d'_' -f2)" >> $GITHUB_ENV
          echo "warehouse_platform=${WAREHOUSE_PLATFORM}" >> $GITHUB_OUTPUT
          echo "warehouse_specific=${WAREHOUSE_SPECIFIC}" >> $GITHUB_OUTPUT
      # Remove '*' and replace '.' with '_' in DBT_VERSION & set as SCHEMA_SUFFIX.
      # SCHEMA_SUFFIX allows us to run multiple versions of dbt in parallel without overwriting the output tables
      - name: Set SCHEMA_SUFFIX env
        run: echo "SCHEMA_SUFFIX=$(echo ${DBT_VERSION%.*} | tr . _)" >> $GITHUB_ENV
        env:
          DBT_VERSION: ${{ matrix.dbt_version }}

      - name: Set DEFAULT_TARGET env
        run: |
         echo "DEFAULT_TARGET=${{matrix.warehouse}}" >> $GITHUB_ENV

      - name: Python setup
        uses: actions/setup-python@v4
        with:
         python-version: "3.8.x"

      - name: Pip cache
        uses: actions/cache@v3
        with:
          path: ~/.cache/pip
          key: ${{ runner.os }}-pip-${{ matrix.dbt_version }}-${{env.WAREHOUSE_PLATFORM}}
          restore-keys: |
            ${{ runner.os }}-pip-${{ matrix.dbt_version }}-${{env.WAREHOUSE_PLATFORM}}

      # Install latest patch version. Upgrade if cache contains old patch version.
      - name: Install dependencies
        run: |
          pip install wheel setuptools
          pip install -Iv dbt-${{env.WAREHOUSE_PLATFORM}}==${{ matrix.dbt_version }} --upgrade
          dbt deps
        if: ${{env.WAREHOUSE_PLATFORM != 'spark'}}

      - name: Install spark dependencies
        run: |
          pip install --upgrade pip wheel setuptools
          pip install -Iv "dbt-${{ env.WAREHOUSE_PLATFORM }}[PyHive]"==${{ matrix.dbt_version }} --upgrade
          dbt deps
        if: ${{env.WAREHOUSE_PLATFORM == 'spark'}}
      
      - name: Install Docker Compose
        run: |
          sudo curl -L "https://github.com/docker/compose/releases/download/1.29.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
          sudo chmod +x /usr/local/bin/docker-compose

      - name: Build and start Spark cluster
        working-directory: .github/workflows/spark_deployment
        run: |
          docker-compose up -d
          echo "Waiting for Spark services to start..."
          sleep 90
        if: ${{env.WAREHOUSE_PLATFORM == 'spark'}}
    
      - name: "Pre-test: Drop ci schemas"
        run: |
          dbt run-operation post_ci_cleanup --target ${{matrix.warehouse}}
          
      - name: Run Unit tests
        run: ./.scripts/unit_tests.sh -d ${{matrix.warehouse}} -b ${{ env.BRANCH }}

      - name: Run integration tests
        run: ./.scripts/integration_tests.sh -d ${{matrix.warehouse}}

      - name: "Post-test: Drop ci schemas"
        run: |
          dbt run-operation post_ci_cleanup --target ${{matrix.warehouse}}