Testing: Add comprehensive automated tests

[al-chris]

Summary

After a thorough review of the repository's source code and templates, it is clear that there are no comprehensive automated tests for the core application logic.

• The only file matching a "test" pattern is test.py, which is not a proper unit/integration test, but rather a script for sending images to the /annotate endpoint using a webcam and printing responses. This script is not a substitute for automated tests.

Details

Python Source

• No usage of testing frameworks (pytest, unittest, etc.) was found.
• No test modules (like tests/, test_*.py, or similar) exist for backend logic, API endpoints, tasks, configuration, database models, or email utilities.
• The backend, built with FastAPI and Celery, has many critical paths (image upload, annotation, database, email, background tasks) that are untested.
• No HTML template rendering is tested.
• No CI/CD workflow for testing detected.

HTML/Frontend

• No automated validation of HTML templates.
• No coverage of form handling or integration with the backend.

Why This Matters

• Reliability: Without automated testing, changes may introduce regressions or bugs unnoticed.
• Maintainability: Refactoring becomes risky and error-prone.
• Scalability: As features grow, manual testing becomes impossible to sustain.
• Community: Contributors are discouraged if there's no safety net for changes.

Recommendations

1. Introduce Automated Tests:

   • Use pytest as the main framework for Python testing.
   • Add FastAPI test clients to verify API endpoints (authentication, file upload, annotation, results, etc).
   • Mock dependencies for services (database, Redis, Celery, Cloudinary, etc) to ensure unit isolation.
   • Add tests for Celery tasks and background processing.
   • Validate email-sending and template rendering logic.
   • Cover database models and migration logic.

2. Create a tests/ Directory:

   • Organize tests by module: tests/test_main.py, tests/test_tasks.py, etc.

3. Continuous Integration:

   • Add a GitHub Actions workflow to run tests on every push and pull request.

4. Test Coverage:

   • Use a coverage tool (e.g., pytest-cov) to monitor how much of your code is exercised by tests.

5. Example Starting Point:

   # tests/test_main.py
   from fastapi.testclient import TestClient
   from app.main import app
   
   client = TestClient(app)
   
   def test_root():
       response = client.get("/")
       assert response.status_code == 200
       assert "PIPELINE" in response.text

References

• FastAPI Testing Docs
• pytest Documentation
• Testing Celery Tasks
• GitHub Actions for Python