add twine installation to workflow #35
Workflow file for this run
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| name: Release ADOT OTLP UDP Exporter | |
| on: | |
| push: | |
| branches: | |
| - "test-pypi" | |
| workflow_dispatch: | |
| inputs: | |
| version: | |
| description: 'Version number for deployment e.g. 0.1.0' | |
| required: true | |
| type: string | |
| env: | |
| AWS_DEFAULT_REGION: us-east-1 | |
| permissions: | |
| id-token: write | |
| contents: write | |
| jobs: | |
| build-test-publish: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - name: Set up Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: '3.10' | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install hatch pytest flask | |
| - name: Build package | |
| working-directory: exporters/aws-otel-otlp-udp-exporter | |
| run: hatch build | |
| - name: Download and run X-Ray Daemon | |
| run: | | |
| mkdir xray-daemon | |
| cd xray-daemon | |
| wget https://s3.us-west-2.amazonaws.com/aws-xray-assets.us-west-2/xray-daemon/aws-xray-daemon-linux-3.x.zip | |
| unzip aws-xray-daemon-linux-3.x.zip | |
| ./xray -o -n us-west-2 -f ./daemon-logs.log --log-level debug & | |
| - name: Install UDP Exporter | |
| run: | | |
| pip install ./exporters/aws-otel-otlp-udp-exporter/dist/*.whl | |
| - name: Ensure Unit Tests are passing | |
| run: | | |
| pytest exporters/aws-otel-otlp-udp-exporter/tests/ | |
| - name: Run Sample App in Background | |
| working-directory: sample-applications/integ-test-app | |
| run: | | |
| # Start validation app | |
| python udp_exporter_validation_app.py & | |
| # Wait for validation app to initialize | |
| sleep 5 | |
| - name: Call Sample App Endpoint | |
| run: | | |
| echo "traceId=$(curl localhost:8080/test)" >> $GITHUB_OUTPUT | |
| - name: Verify X-Ray daemon received traces | |
| run: | | |
| sleep 10 | |
| echo "X-Ray daemon logs:" | |
| cat xray-daemon/daemon-logs.log | |
| # Check if the daemon received and processed some data | |
| if grep -q "sending.*batch" xray-daemon/daemon-logs.log; then | |
| echo "✅ X-Ray daemon processed trace data (AWS upload errors are expected)" | |
| exit 0 | |
| elif grep -q "processor:.*segment" xray-daemon/daemon-logs.log; then | |
| echo "✅ X-Ray daemon processed segment data (AWS upload errors are expected)" | |
| exit 0 | |
| else | |
| echo "❌ No evidence of traces being received by X-Ray daemon" | |
| exit 1 | |
| fi | |
| - name: Configure AWS credentials for PyPI secrets | |
| uses: aws-actions/configure-aws-credentials@v4 | |
| with: | |
| role-to-assume: ${{ secrets.AWS_ROLE_ARN_SECRETS_MANAGER }} | |
| aws-region: ${{ env.AWS_DEFAULT_REGION }} | |
| - name: Get PyPI secrets | |
| uses: aws-actions/aws-secretsmanager-get-secrets@v1 | |
| id: pypi_secrets | |
| with: | |
| secret-ids: | | |
| TEST_PYPI_TOKEN,${{ secrets.PYPI_TEST_TOKEN_SECRET_ARN }} | |
| parse-json-secrets: true | |
| - name: Install twine | |
| run: pip install twine | |
| # The step below publishes to testpypi in order to catch any issues | |
| # with the package configuration that would cause a failure to upload to PyPI. | |
| - name: Publish to TestPyPI | |
| env: | |
| TWINE_USERNAME: '__token__' | |
| TWINE_PASSWORD: ${{ env.TEST_PYPI_TOKEN_API_TOKEN }} | |
| run: | | |
| twine upload --repository testpypi --skip-existing --verbose dist/${{ env.ARTIFACT_NAME }} |