generate-tests.yml

# Generate Missing Tests — Prompt2PR Example Workflow
#
# Scans source files for untested functions and generates unit tests.
# The LLM reads both source and test files to understand existing patterns,
# then creates new tests that follow the same style.
#
# Important: The LLM cannot execute the generated tests. The PR should be
# treated as a starting point — review the tests, run your test suite,
# and fix any issues before merging. Tests may need adjustments for
# mocking, fixtures, or edge cases the LLM couldn't infer.
#
# Setup:
#   1. Copy this file to .github/workflows/generate-tests.yml
#   2. Add OPENAI_API_KEY as a GitHub Secret
#   3. Adjust the paths and test framework references for your project

name: Generate Missing Tests

on:
  schedule:
    # Run every Thursday at 7:00 UTC
    - cron: '0 7 * * 4'
  workflow_dispatch:
    inputs:
      prompt:
        description: 'Custom prompt (optional — overrides default)'
        required: false
        default: ''

permissions:
  contents: write
  pull-requests: write

jobs:
  generate-tests:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - uses: davd-gzl/Prompt2PR@v1
        with:
          prompt: >-
            ${{ github.event.inputs.prompt || 'Analyze the source files and
            their corresponding test files. Identify exported functions or
            classes that have no test coverage. For each untested export, create
            test cases in the appropriate test file following the existing test
            patterns (describe/it structure, naming conventions, assertion
            style). Use Jest with TypeScript. Focus on happy-path and basic
            error cases. Only create tests — do not modify source files.' }}
          provider: 'openai'
          paths: 'src/**,__tests__/**'
          max_files: 5
          max_changes: 200
          label: 'prompt2pr,tests'
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}