python tests/test_connection.pypython tests/test_user_with_env.pypython tests/test_db.pypython ml_interface/training_data.pypytest tests/- ✅ MongoDB connection works
- ✅ Database is accessible
- ✅ Collections exist
- ✅ Can create users
- ✅ Can retrieve users
- ✅ Can delete users
- ✅ Environment variables work
- ✅ All CRUD operations work
- ✅ Data validation works
- ✅ Error handling works
- ✅ Gemini API integration works
- ✅ Data pipeline functions work
- ✅ Training data collection works
- MongoDB credentials are correct
- Environment variables are set
- All dependencies are installed
- Network connection is working
- No connection errors
- No import errors
- No authentication errors
- No data corruption
- All tests pass
- No error messages
- Data is stored correctly
- Functions return expected results
# Check if MongoDB is running
python -c "from pymongo import MongoClient; print('MongoDB available')"
# Test connection string
python -c "from config import MONGO_URI; print(MONGO_URI[:50])"# Check if all modules can be imported
python -c "from db_layer.users import create_user; print('Users module OK')"
python -c "from db_layer.scans import insert_scan; print('Scans module OK')"
python -c "from ml_interface.training_data import send_to_gemini; print('ML module OK')"# Check environment variables
python -c "import os; print('MONGO_URI:', os.getenv('MONGO_URI', 'Not set'))"
python -c "import os; print('DB_NAME:', os.getenv('DB_NAME', 'Not set'))"- All tests pass
- No error messages in console
- Database connection works
- All functions work as expected
- Documentation is complete
- Code is clean and organized
- No sensitive data in code
- Requirements.txt is up to date
- README files are updated
Once all tests pass, your code is ready to upload to Git!