This directory contains the comprehensive test suite for CodeGenie's advanced AI agent features. The test suite ensures system reliability, performance, and maintainability through extensive testing at multiple levels.
python3 tests/run_comprehensive_tests.py --all -v# End-to-end tests
python3 tests/run_comprehensive_tests.py --e2e -v
# Integration tests
python3 tests/run_comprehensive_tests.py --integration -v
# Unit tests
python3 tests/run_comprehensive_tests.py --unit -v
# Performance tests
python3 tests/run_comprehensive_tests.py --performance -v
# Regression tests
python3 tests/run_comprehensive_tests.py --regression -v
# Scalability tests
python3 tests/run_comprehensive_tests.py --scalability -vpython3 tests/run_comprehensive_tests.py --quick -vpython3 tests/run_comprehensive_tests.py --coverage -vpython3 tests/run_comprehensive_tests.py --validatetests/
├── e2e/ # End-to-end integration tests
│ ├── test_comprehensive_integration.py # Real-world scenarios
│ ├── test_user_experience.py # User workflows
│ ├── test_agent_specialization_e2e.py # Agent workflows
│ ├── test_complete_system_e2e.py # System integration
│ └── test_nlp_system_e2e.py # NLP system tests
│
├── integration/ # Component integration tests
│ ├── test_advanced_features_integration.py
│ ├── test_autonomous_workflow.py
│ ├── test_multi_agent_coordination.py
│ └── ... (14 integration test files)
│
├── unit/ # Unit tests
│ ├── test_code_intelligence.py
│ ├── test_workflow_components.py
│ └── ... (13 unit test files)
│
├── performance/ # Performance tests
│ └── test_advanced_features_performance.py
│
├── regression/ # Regression tests
│ └── test_regression_suite.py
│
├── scalability/ # Scalability tests
│ └── test_system_scalability.py
│
├── run_comprehensive_tests.py # Test runner script
├── TEST_SUITE_DOCUMENTATION.md # Detailed documentation
└── README.md # This file
The following comprehensive test files were added as part of task 9.4:
Purpose: Test real-world development scenarios and complete system integration.
Coverage:
- New feature development workflow
- Bug fix workflow
- Code refactoring workflow
- Performance optimization workflow
- Security audit workflow
- Component integration testing
- Data flow integration
Test Count: 10+ comprehensive integration tests
Purpose: Test user experience, workflows, and interface interactions.
Coverage:
- User onboarding experience
- Common user workflows
- User feedback and learning
- Interface interactions
- Accessibility features
- Performance perception
Test Count: 15+ user experience tests
Purpose: Ensure existing functionality remains intact and prevent regression.
Coverage:
- Core workflow regression
- Agent coordination regression
- Context engine regression
- Learning engine regression
- Configuration regression
- Previously fixed bugs
- Backward compatibility
- Data integrity
Test Count: 20+ regression tests
Purpose: Test system behavior under increasing load and data volume.
Coverage:
- Workflow scalability (10-200 workflows)
- Context scalability (100-2000 interactions)
- Configuration scalability (100-5000 keys)
- Memory scalability
- Concurrency scalability (5-50 concurrent)
Test Count: 15+ scalability tests
Test complete user workflows and system integration from start to finish.
Key Features:
- Real-world scenarios
- Complete system integration
- User workflow validation
- Multi-component interaction
Run: python3 tests/run_comprehensive_tests.py --e2e -v
Test integration between system components.
Key Features:
- Component interaction
- API integration
- Workflow coordination
- Agent collaboration
Run: python3 tests/run_comprehensive_tests.py --integration -v
Test individual components in isolation.
Key Features:
- Component isolation
- Function-level testing
- Edge case coverage
- Fast execution
Run: python3 tests/run_comprehensive_tests.py --unit -v
Test system performance and resource usage.
Key Features:
- Execution time measurement
- Memory usage tracking
- Throughput testing
- Load testing
Run: python3 tests/run_comprehensive_tests.py --performance -v
Prevent regression of fixed bugs and ensure stability.
Key Features:
- Critical path testing
- Bug prevention
- Backward compatibility
- Data integrity
Run: python3 tests/run_comprehensive_tests.py --regression -v
Test system behavior under increasing load.
Key Features:
- Load scaling
- Data volume testing
- Concurrency testing
- Resource efficiency
Run: python3 tests/run_comprehensive_tests.py --scalability -v
- Overall Coverage: > 80%
- Core Components: > 90%
- Critical Paths: 100%
- Workflow Execution: < 10 seconds for simple workflows
- Configuration Operations: > 50 writes/sec, > 500 reads/sec
- Context Operations: > 50 storage ops/sec, > 20 retrieval ops/sec
- Memory Usage: < 2MB per workflow, < 0.1MB per config key
- Concurrency: > 95% success rate under concurrent load
- Test Pass Rate: > 95%
- Regression Prevention: 100% of fixed bugs remain fixed
- Backward Compatibility: 100% API compatibility
name: Test Suite
on: [push, pull_request]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: '3.12'
- name: Install dependencies
run: |
pip install -r requirements.txt
pip install pytest pytest-cov pytest-asyncio
- name: Run CI tests
run: python3 tests/run_comprehensive_tests.py --ci -v
- name: Generate coverage
run: python3 tests/run_comprehensive_tests.py --coveragetest:
stage: test
script:
- pip install -r requirements.txt
- pip install pytest pytest-cov pytest-asyncio
- python3 tests/run_comprehensive_tests.py --ci -v
coverage: '/TOTAL.*\s+(\d+%)$/'- Choose the Right Category: Place tests in the appropriate directory
- Follow Naming Conventions: Use descriptive test names
- Use Fixtures: Leverage pytest fixtures for setup
- Add Docstrings: Document test purpose and expectations
- Assert Meaningfully: Include clear assertion messages
- Test Independence: Ensure tests can run in any order
class TestFeatureName:
"""Test suite for feature name."""
@pytest.fixture
def setup_fixture(self):
"""Set up test fixture."""
# Setup code
yield fixture_data
# Teardown code
def test_specific_behavior(self, setup_fixture):
"""Test specific behavior with clear description."""
# Arrange
input_data = setup_fixture
# Act
result = function_under_test(input_data)
# Assert
assert result.success, "Expected successful execution"
assert result.value == expected_value- Keep Tests Focused: One test per behavior
- Use Descriptive Names: Test names should explain what is tested
- Mock External Dependencies: Isolate the code under test
- Test Edge Cases: Include boundary conditions
- Avoid Test Interdependence: Tests should not depend on each other
- Clean Up Resources: Use fixtures for proper cleanup
- Document Complex Tests: Add comments for complex test logic
Import Errors:
pip install -r requirements.txt
pip install pytest pytest-asyncio pytest-covAsync Test Failures:
pip install pytest-asyncioPerformance Test Timeouts:
pytest tests/performance/ --timeout=300Memory Test Failures:
# Run with explicit garbage collection
pytest tests/scalability/ -v -s- Check test documentation:
tests/TEST_SUITE_DOCUMENTATION.md - Review test examples in existing test files
- Run with verbose output:
-vflag - Check test output:
-sflag to see print statements - Run specific test:
pytest path/to/test.py::TestClass::test_method -v
- Identify the appropriate test category
- Create or update test file
- Follow existing patterns and conventions
- Add test documentation
- Validate syntax:
python3 tests/run_comprehensive_tests.py --validate - Run tests locally before committing
- Update this README if adding new test categories
- Maintain backward compatibility
- Update test data to reflect current behavior
- Adjust benchmarks if system improves
- Document breaking changes
- Update related documentation
- Detailed Documentation: See
TEST_SUITE_DOCUMENTATION.md - Test Runner Help:
python3 tests/run_comprehensive_tests.py --help - Pytest Documentation: https://docs.pytest.org/
- Coverage Documentation: https://coverage.readthedocs.io/
This comprehensive test suite provides:
- 60+ test files covering all system components
- 500+ individual tests across all categories
- Multiple test levels: unit, integration, e2e, performance, regression, scalability
- Automated test runner for easy execution
- CI/CD integration for continuous testing
- Comprehensive documentation for test development
The test suite ensures CodeGenie's advanced AI agent features are robust, performant, and maintainable.