improvement to tests #552
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improvement to tests #552
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- Add proper fixtures for starting scrapyd servers in integration tests - Split authentication tests into separate test file - Fix server startup logic to handle both existing and new servers - Add support for both authenticated and non-authenticated server testing - Ensure integration tests can run reliably with proper server management 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Add detailed explanation of Scrapy ecosystem components (Scrapy, Scrapyd, scrapyd-client, Scrapyrt) - Include relationship diagrams and typical workflow examples - Add comparison table for when to use which tool - Enhance README with better feature highlights, API endpoints, and examples - Add coverage dependency to pyproject.toml for testing improvements 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Relocate integration_tests/ to tests/integration_tests/ for better organization - Update import paths to reflect new structure - Maintain existing test functionality and fixtures 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Reorganize tests into unit/, api/, server/, and integration_tests/ directories - Add pytest markers for independent test execution (unit, api, server, integration, auth) - Create comprehensive pytest.ini configuration with markers and coverage settings - Add detailed test documentation with usage guidelines and best practices - Enable selective test execution: pytest -m unit, pytest -m integration, etc. Test organization: - unit/: Fast isolated component tests - api/: HTTP endpoint and JSON API tests - server/: Server functionality and web interface tests - integration_tests/: End-to-end system tests with real servers 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Modified req() function to handle both authenticated and non-authenticated scenarios - Fixed auth_server fixture to run in separate directory to avoid PID conflicts - Removed hardcoded authentication from test_options and test_project_directory_traversal - Authentication tests now properly pass with auth_server fixture - Basic integration tests now work with non-authenticated server 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Changed debug=off in both scrapyd_server and auth_server fixtures - This prevents webservice from returning HTML tracebacks instead of JSON error responses - Integration tests now properly receive JSON formatted error messages 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Add support for SCRAPYD_CONFIG environment variable in config loading - Expand .gitignore with comprehensive Python project exclusions - Include coverage for virtual environments, IDEs, databases, and more 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Performance optimizations with async components - API modernization with new endpoints - Docker containerization support - Enhanced documentation and community guidelines - Storage persistence improvements - Testing framework enhancements - Benchmarking and monitoring tools - Deployment automation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
Major improvements to deploy-cloudrun.bash: ### Enhanced Error Handling & Validation - Comprehensive dependency checks (gcloud, docker, auth) - Configuration file validation with format checking - Robust error handling for all gcloud operations - Clear error messages with actionable guidance ### Rollback Capabilities - Automatic rollback on deployment failure (configurable) - Previous revision tracking for safe deployments - Manual rollback instructions in output - Cleanup on failure with proper error handling ### Health Checks & Verification - Post-deployment health checks via /daemonstatus.json - Configurable health check attempts and timeouts - Image deployment verification - Service URL accessibility testing ### Improved Logging & Output - Color-coded structured logging (INFO, WARN, ERROR, SUCCESS) - Deployment configuration summary - Comprehensive success output with next steps - Progress indication throughout deployment ### Cloud Run Gen2 Optimizations - Full Gen2 execution environment support - Enhanced resource configuration options - VPC connector and egress settings support - Advanced scaling and networking configuration ### Documentation & Examples - Comprehensive deployment guide - Sample configuration file with all options - Best practices and troubleshooting - Production deployment examples 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
Implemented enterprise-grade CI/CD infrastructure with: ### 🔄 CI/CD Pipeline (.github/workflows/ci.yml) - Multi-version Python testing (3.10, 3.11, 3.12) - Code quality checks with ruff formatting and linting - Integration and unit test suites with coverage reporting - Security scanning with Safety, Bandit, and CodeQL - Package building and Docker image testing - Performance benchmarks for master branch - Comprehensive status validation ### 🐳 Docker Workflow (.github/workflows/docker.yml) - Multi-architecture builds (AMD64, ARM64) - Automated tagging with semantic versioning - GitHub Container Registry publishing - Trivy vulnerability scanning with SARIF upload - Docker Hub README synchronization ### 🚀 Release Automation (.github/workflows/release.yml) - Semantic version validation and parsing - Automated GitHub releases with changelog generation - PyPI publishing for stable releases - TestPyPI publishing for pre-releases - Documentation deployment to GitHub Pages - Comprehensive release notifications ### 🔒 Security & Dependencies (.github/workflows/security.yml) - Daily vulnerability scanning with multiple tools - Automated dependency updates with PR creation - License compliance monitoring - Security report generation and SARIF integration - CodeQL analysis for code quality and security ### ☁️ Cloud Run Deployment (.github/workflows/deploy-cloudrun.yml) - Staging and production environment management - Pre-deployment testing and validation - Blue-green deployments with automatic rollback - Comprehensive health checks and smoke tests - Manual deployment options for emergency releases ### 📋 Project Management - Dependabot configuration for automated dependency updates - Issue templates for bug reports and feature requests - Pull request template with comprehensive checklist - GitHub Actions documentation and setup guides ### Key Features - Environment isolation and secure secret management - Rollback capabilities for failed deployments - Security-first approach with vulnerability scanning - Multi-platform support and testing - Automated documentation and release management - Enterprise-grade monitoring and reporting This comprehensive automation infrastructure provides: ✅ Continuous Integration and Deployment ✅ Security monitoring and compliance ✅ Automated dependency management ✅ Production-ready deployment workflows ✅ Community contribution guidelines 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Add comprehensive architecture documentation with system design diagrams - Add deployment guides for Google Cloud Platform and AWS - Add getting-started tutorial for new users - Convert README.rst to README.md for better GitHub display - Update Sphinx configuration to support Markdown files - Create structured documentation with proper index files - Add myst-parser for Markdown support in documentation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
- Implement rich console formatting for print statements and logging - Add rich dependency (>=13.0.0) to project dependencies - Create comprehensive rich logging module with Twisted integration - Transform benchmark output with tables, panels, and colored formatting - Update version display and performance reports with rich styling - Add configurable rich_logging option in scrapyd.conf - Enhance async components with rich logger support - Bump version to 1.6.1 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
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I have made changes to this project as described in the extra branches