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Added new workflow process
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‎.github/ISSUE_TEMPLATE/release-request.yml‎

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name: "Release Request"
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description: "Request a deployment by specifying the evaluation function, changes, target commit/branch, and test confirmation."
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title: "Release Request"
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labels:
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- release
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- deployment
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assignees: []
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body:
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- type: textarea
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id: description_of_changes
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attributes:
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label: Description of changes
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description: "Summarize what is changing and why. Include links to PRs, issues, or changelogs."
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placeholder: |
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- What changed:
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- Why:
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- Related PRs/Issues: #123, #456
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render: markdown
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validations:
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required: true
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- type: input
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id: branch_to_deploy
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attributes:
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label: Branch to deploy
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description: |
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Specify Branch name to deploy.
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placeholder: "e.g., release/2025-09-29"
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validations:
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required: true
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- type: dropdown
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id: version-bump
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attributes:
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label: "🚀 What kind of update is this?"
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description: "Tell us how significant this change is. This helps us set the correct new version number."
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options:
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- "Patch: A small fix for a bug. It won't break anything for existing users. (e.g., 1.2.3 ➔ 1.2.4)"
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- "Minor: Adds a new feature, but doesn't change how existing ones work. A safe update. (e.g., 1.2.3 ➔ 1.3.0)"
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- "Major: A big change that alters existing features. Users may need to update their work to adapt. (e.g., 1.2.3 ➔ 2.0.0)"
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default: 0
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validations:
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required: true
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- type: markdown
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attributes:
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value: |
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---
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### ⚡ Click the Link Below to Run the Workflow
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Clicking the link will take you to the Actions page. You will need to click the **"Run workflow"** button there to start the process.
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## [➡️ Go to Workflow Run Page](../actions/workflows/production-deploy.yml)

‎.github/workflows/pre_production_tests.yml‎

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name: Run Pre-Production Validation Tests
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on:
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workflow_dispatch:
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inputs:
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eval_function:
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type: string
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description: "The name of the evaluation function to test"
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required: true
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sql_limit:
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type: number
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description: "The maximum number of SQL test cases to run"
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required: false
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default: 500
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seed:
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type: string
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description: "Random seed for reproducible sampling (float in [-1.0, 1.0]). Leave blank to auto-generate."
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required: false
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default: ''
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request_delay:
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type: string
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description: "Delay (seconds) between dispatching requests"
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required: false
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default: '0'
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max_concurrency:
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type: string
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description: "Max concurrent requests (lower for GPT-backed functions)"
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required: false
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default: '5'
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jobs:
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run-pre-production-tests:
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name: 🧪 Run Staging Validation Tests
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uses: lambda-feedback/Database-Testing/.github/workflows/test_evaluation_function.yml@main
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with:
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eval_function: ${{ inputs.eval_function }}
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sql_limit: ${{ inputs.sql_limit }}
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seed: ${{ inputs.seed }}
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request_delay: ${{ inputs.request_delay }}
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max_concurrency: ${{ inputs.max_concurrency }}
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secrets:
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TEST_API_ENDPOINT: ${{ secrets.TEST_API_ENDPOINT }}
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DB_USER: ${{ secrets.DB_USER }}
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DB_PASSWORD: ${{ secrets.DB_PASSWORD }}
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DB_HOST: ${{ secrets.DB_HOST }}
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DB_PORT: ${{ secrets.DB_PORT }}
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DB_NAME: ${{ secrets.DB_NAME }}
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GCP_SERVICE_ACCOUNT_KEY: ${{ secrets.GCP_DB_CREDS }}
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GCP_PROJECT_ID: ${{ secrets.GCP_DB_PROJECT_ID }}

‎.github/workflows/production-deploy.yml‎

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name: Deploy to Production
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on:
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workflow_dispatch:
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inputs:
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version-bump:
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description: 'Version bump type'
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required: true
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type: choice
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options:
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- patch
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- minor
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- major
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default: patch
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branch:
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description: 'Branch to release from'
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required: true
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type: string
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default: 'main'
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seed:
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description: 'Random seed for reproducible sampling (float in [-1.0, 1.0]). Leave blank to auto-generate.'
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required: false
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type: string
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default: ''
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request_delay:
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description: 'Delay (seconds) between dispatching requests'
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required: false
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type: string
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default: '0'
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max_concurrency:
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description: 'Max concurrent requests (lower for GPT-backed functions)'
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required: false
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type: string
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default: '5'
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jobs:
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deploy:
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uses: lambda-feedback/evaluation-function-workflows/.github/workflows/deploy.yml@main
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with:
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template-repository-name: 'lambda-feedback/evaluation-function-boilerplate-python'
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environment: "production"
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version-bump: ${{ inputs.version-bump }}
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branch: ${{ inputs.branch }}
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run-database-tests: false
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seed: ${{ inputs.seed }}
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request_delay: ${{ inputs.request_delay }}
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max_concurrency: ${{ inputs.max_concurrency }}
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secrets:
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aws-key-id: ${{ secrets.LAMBDA_CONTAINER_PIPELINE_AWS_ID }}
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aws-secret-key: ${{ secrets.LAMBDA_CONTAINER_PIPELINE_AWS_SECRET}}
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function-admin-api-key: ${{ secrets.FUNCTION_ADMIN_API_KEY}}
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gcp_credentials: ${{ secrets.GCP_DEPLOY }}
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TEST_API_ENDPOINT: ${{ secrets.TEST_API_ENDPOINT }}
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DB_USER: ${{ secrets.DB_USER }}
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DB_PASSWORD: ${{ secrets.DB_PASSWORD }}
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DB_HOST: ${{ secrets.DB_HOST }}
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DB_PORT: ${{ secrets.DB_PORT }}
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DB_NAME: ${{ secrets.DB_NAME }}
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GCP_DB_CREDS: ${{ secrets.GCP_DB_CREDS }}
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GCP_PROJECT_ID: ${{ secrets.GCP_PROJECT_ID }}

‎.github/workflows/staging-deploy.yml‎

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name: Deploy to Staging
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on:
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push:
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branches:
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- main
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workflow_dispatch:
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jobs:
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test:
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name: Test
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runs-on: ubuntu-latest
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permissions:
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contents: read
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actions: read
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checks: write
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pull-requests: write
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strategy:
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fail-fast: false
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matrix:
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python-version: ["3.12"]
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Set up Python ${{ matrix.python-version }}
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id: python-setup
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uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install Poetry
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run: pip install poetry
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- name: Install dependencies
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run: poetry install
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- name: Lint with flake8
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run: |
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poetry run flake8 ./evaluation_function --count --select=E9,F63,F7,F82 --show-source --statistics
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poetry run flake8 ./evaluation_function --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
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- name: Run tests
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if: always()
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run: poetry run pytest --junit-xml=./reports/pytest.xml --tb=auto -v
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- name: Upload test results
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uses: actions/upload-artifact@v4
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if: always()
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with:
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name: test-results-${{ matrix.python-version }}
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path: ./reports/pytest.xml
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if-no-files-found: warn
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deploy:
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needs: test
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uses: lambda-feedback/evaluation-function-workflows/.github/workflows/deploy.yml@main
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with:
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template-repository-name: "lambda-feedback/evaluation-function-boilerplate-python"
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build-platforms: "aws"
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environment: "staging"
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lfs: false
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secrets:
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aws-key-id: ${{ secrets.LAMBDA_CONTAINER_PIPELINE_AWS_ID }}
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aws-secret-key: ${{ secrets.LAMBDA_CONTAINER_PIPELINE_AWS_SECRET}}
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function-admin-api-key: ${{ secrets.FUNCTION_ADMIN_API_KEY}}
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gcp_credentials: ${{ secrets.GCP_DEPLOY }}

‎.github/workflows/test-lint.yml‎

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name: Test and Lint
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on:
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pull_request:
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jobs:
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test:
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name: Test
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runs-on: ubuntu-latest
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permissions:
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contents: read
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actions: read
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checks: write
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pull-requests: write
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strategy:
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fail-fast: false
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matrix:
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python-version: ["3.12"]
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Set up Python ${{ matrix.python-version }}
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id: python-setup
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uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install Poetry
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run: pip install poetry
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- name: Install dependencies
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run: poetry install
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- name: Lint with flake8
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run: |
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poetry run flake8 ./evaluation_function --count --select=E9,F63,F7,F82 --show-source --statistics
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poetry run flake8 ./evaluation_function --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
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- name: Run tests
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if: always()
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run: poetry run pytest --junit-xml=./reports/pytest.xml --tb=auto -v
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- name: Upload test results
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uses: actions/upload-artifact@v4
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if: always()
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with:
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name: test-results-${{ matrix.python-version }}
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path: ./reports/pytest.xml
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if-no-files-found: warn

‎.github/workflows/test-report.yml‎

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‎README.md‎

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This repository contains the boilerplate code needed to create a containerized evaluation function written in Python.
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## Deployment
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[![Create Release Request](https://img.shields.io/badge/Create%20Release%20Request-blue?style=for-the-badge)](https://github.com/lambda-feedback/EduVision-Gearbox-Assembly/issues/new?template=release-request.yml)
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## Quickstart
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This chapter helps you to quickly set up a new Python evaluation function using this template repository.

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