🧪 Comprehensive Testing & Quality Assurance Framework #9
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- Complete unit test suites with 90%+ coverage target - Integration tests for end-to-end workflow validation - Performance testing with Locust load testing - Security testing with OWASP ZAP integration - Test data factories and synthetic data generation - Quality metrics collection and reporting - CI/CD integration with GitHub Actions - Comprehensive test execution scripts - Docker-based test environments - Quality gates and threshold enforcement Features: ✅ Unit tests for database, task manager, webhooks, Claude Code, Codegen ✅ Integration tests for complete workflow execution ✅ Performance benchmarks and load testing ✅ Security vulnerability scanning and penetration testing ✅ Test data management with factories and fixtures ✅ Coverage reporting with HTML, XML, JSON outputs ✅ Quality dashboards and metrics collection ✅ Automated CI/CD workflows with quality gates ✅ Multi-environment testing support ✅ Comprehensive documentation and usage guides
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Reviewer's GuideThis PR introduces a full-fledged testing and quality assurance framework under a new Class Diagram for Coverage Reporting ComponentsclassDiagram
class CoverageReporter {
+List~str~ source_dirs
+List~str~ omit_patterns
+Coverage cov
+__init__(source_dirs: List~str~, omit_patterns: List~str~)
+start_coverage() None
+stop_coverage() None
+generate_reports(output_dir: str) Dict~str, str~
+get_coverage_data() Dict
+analyze_coverage_trends(historical_data: List~Dict~) Dict
+identify_coverage_gaps(threshold: float) List~Dict~
+_calculate_priority(file_info: Dict) float
+generate_coverage_badge(coverage_percentage: float) str
}
class CoverageAnalyzer {
+str coverage_file
+__init__(coverage_file: str)
+parse_coverage_xml(xml_file: str) Dict
+compare_coverage_reports(current_file: str, previous_file: str) Dict
+generate_coverage_summary(coverage_data: Dict) str
}
class CoverageIntegration {
<<static>> +run_pytest_with_coverage(test_paths: List~str~, output_dir: str) Tuple~int, str~
<<static>> +upload_to_codecov(coverage_file: str, token: str) bool
<<static>> +check_coverage_threshold(coverage_percentage: float, threshold: float) bool
}
CoverageReporter ..> Coverage
CoverageAnalyzer ..> ET
CoverageIntegration ..> subprocess
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🧪 Comprehensive Testing & Quality Assurance Framework
This PR implements a comprehensive testing and quality assurance framework that ensures system reliability through automated testing, performance validation, and continuous quality monitoring across all workflow components.
🎯 Implementation Overview
This framework provides complete test coverage for the AI workflow platform with:
📦 Key Deliverables
✅ Unit Test Suites
✅ Integration Test Suite
✅ Performance Testing
✅ Security Testing
✅ Test Data Management
✅ Quality Metrics & Reporting
🚀 Usage
Quick Start
Advanced Usage
📊 Quality Thresholds
🔄 CI/CD Integration
The framework includes comprehensive GitHub Actions workflows that:
📁 Framework Structure
🎉 Benefits
📚 Documentation
🔗 Related Issues
This comprehensive testing framework provides a solid foundation for ensuring the quality, performance, and security of the AI workflow platform. The framework is production-ready and can be immediately integrated into the development workflow.
Ready for review and testing! 🚀
💻 View my work • About Codegen
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Summary by Sourcery
Implement a comprehensive testing and quality assurance framework for the AI workflow platform, covering automated unit, integration, performance and security testing, test-data management, quality metrics collection, and CI/CD orchestration.
New Features:
Enhancements:
CI:
Documentation:
Tests: