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Scribe MCP Server

by paxocial
testing_strategy.md2.17 kB
## Testing & Validation Strategy <!-- ID: testing_strategy --> ### Unit Testing - **Coverage Target**: 85% minimum, 95% preferred - **Framework**: pytest with fixtures and parametrization - **Scope**: Individual functions, methods, and classes - **Mocking**: unittest.mock for external dependencies - **Assertions**: Comprehensive error case testing ### Integration Testing - **Coverage Target**: All major user flows and API endpoints - **Framework**: pytest with testcontainers for services - **Environment**: Docker-based integration environment - **Data**: Seed data with deterministic fixtures - **Cleanup**: Automatic teardown between tests ### End-to-End Testing - **Coverage Target**: Critical user journeys - **Framework**: Playwright for web UI, custom CLI testing - **Environment**: Production-like staging environment - **Data**: Realistic test datasets - **Monitoring**: Performance and error rate tracking ### Security Testing - **Static Analysis**: Bandit for Python security issues - **Dependency Scanning**: pip-audit for vulnerable dependencies - **Penetration Testing**: OWASP ZAP integration - **Authentication**: JWT token validation and refresh testing - **Authorization**: Role-based access control testing ### Performance Testing - **Load Testing**: Locust for concurrent user simulation - **Stress Testing**: System limits and failure modes - **Memory Profiling**: pytest-memray for memory leak detection - **Database**: Query performance and indexing validation - **Monitoring**: Response time and resource usage tracking ### Test Data Management - **Fixtures**: Factory Boy for test data generation - **Database**: Separate test database per test run - **Files**: Temporary file cleanup with pytest fixtures - **External Services**: Mock services for API dependencies - **Version Control**: Test data versioning and reproducibility ### Continuous Integration - **Pre-commit Hooks**: Black, isort, flake8, mypy - **Pipeline**: GitHub Actions with matrix testing - **Environments**: Multiple Python versions and OS testing - **Artifacts**: Test reports and coverage artifacts - **Failures**: Automated notification and rollback on failure

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