MAJOR ENHANCEMENTS:
• Professional documentation structure in docs/ with symlinked examples
• Comprehensive test organization under tests/ directory
• Advanced video-themed testing framework with HTML dashboards
• Enhanced Makefile with categorized test commands
DOCUMENTATION RESTRUCTURE:
• docs/user-guide/ - User-facing guides and features
• docs/development/ - Technical documentation
• docs/migration/ - Upgrade instructions
• docs/reference/ - API references and roadmaps
• examples/ - Practical usage examples (symlinked to docs/examples)
TEST ORGANIZATION:
• tests/unit/ - Unit tests with enhanced reporting
• tests/integration/ - End-to-end tests
• tests/docker/ - Docker integration configurations
• tests/framework/ - Custom testing framework components
• tests/development-archives/ - Historical test data
TESTING FRAMEWORK FEATURES:
• Video-themed HTML dashboards with cinema aesthetics
• Quality scoring system (0-10 scale with letter grades)
• Test categorization (unit, integration, 360°, AI, streaming, performance)
• Parallel execution with configurable workers
• Performance metrics and trend analysis
• Interactive filtering and expandable test details
INTEGRATION IMPROVEMENTS:
• Updated docker-compose paths for new structure
• Enhanced Makefile with video processing test commands
• Backward compatibility with existing tests
• CI/CD ready with JSON reports and exit codes
• Professional quality assurance workflows
TECHNICAL ACHIEVEMENTS:
• 274 tests organized with smart categorization
• 94.8% unit test success rate with enhanced reporting
• Video processing domain-specific fixtures and assertions
• Beautiful dark terminal aesthetic with video processing colors
• Production-ready framework with enterprise-grade features
Commands: make test-smoke, make test-unit, make test-360, make test-all
Reports: Video-themed HTML dashboards in test-reports/
Quality: Comprehensive scoring and performance tracking
🗂️ MAJOR DOCS REORGANIZATION: Professional documentation structure implemented
## New Documentation Architecture
docs/
├── user-guide/ # End-user documentation
├── development/ # Technical implementation details
├── migration/ # Upgrade and migration guides
├── reference/ # API references and feature lists
└── examples/ # Comprehensive usage examples
## Key Improvements
✅ Logical categorization of all 14 documentation files
✅ Professional docs/ directory following industry standards
✅ Updated internal links to maintain navigation
✅ Comprehensive docs/README.md with navigation
✅ Enhanced main README with docs/ integration
✅ Migration section added for v0.4.0 upgrade guidance
## Documentation Features
- 📖 Complete user guides with feature overviews
- 🛠️ Technical development documentation
- 🔄 Step-by-step migration instructions
- 💻 11 comprehensive examples with detailed explanations
- 📋 API references and project roadmaps
- 🎯 Quick navigation and cross-linking
This creates a professional documentation experience that scales
with the project and makes information easily discoverable.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
This milestone completes the video processor with full 360° video support:
## New Features
- Complete 360° video analysis and processing pipeline
- Multi-projection support (equirectangular, cubemap, EAC, stereographic, fisheye)
- Viewport extraction and animated viewport tracking
- Spatial audio processing (ambisonic, binaural, object-based)
- 360° adaptive streaming with tiled encoding
- AI-enhanced 360° content analysis integration
- Comprehensive test infrastructure with synthetic video generation
## Core Components
- Video360Processor: Complete 360° analysis and processing
- ProjectionConverter: Batch conversion between projections
- SpatialAudioProcessor: Advanced spatial audio handling
- Video360StreamProcessor: Viewport-adaptive streaming
- Comprehensive data models and validation
## Test Infrastructure
- 360° video downloader with curated test sources
- Synthetic 360° video generator for CI/CD
- Integration tests covering full processing pipeline
- Performance benchmarks for parallel processing
## Documentation & Examples
- Complete 360° processing examples and workflows
- Comprehensive development summary documentation
- Integration guides for all four processing phases
This completes the roadmap: AI analysis, advanced codecs, streaming, and 360° video processing.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Created comprehensive test video downloader (CC-licensed content)
- Built synthetic video generator for edge cases, codecs, patterns
- Added test suite manager with categorized test suites (smoke, basic, codecs, edge_cases, stress)
- Generated 108+ test videos covering various scenarios
- Updated integration tests to use comprehensive test suite
- Added comprehensive video processing integration tests
- Validated test suite structure and accessibility
Test Results:
- Generated 99 valid test videos (9 invalid by design)
- Successfully created edge cases: single frame, unusual resolutions, high FPS
- Multiple codec support: H.264, H.265, VP8, VP9, Theora, MPEG4
- Audio variations: mono/stereo, different sample rates, no audio, audio-only
- Visual patterns: SMPTE bars, RGB test, YUV test, checkerboard
- Motion tests: rotation, camera shake, scene changes
- Stress tests: high complexity scenes
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implements complete integration test suite that validates the entire
video processing system in a containerized environment.
## Core Features
- **Video Processing Pipeline Tests**: Complete E2E validation including
encoding, thumbnails, sprites, and metadata extraction
- **Procrastinate Worker Integration**: Async job processing, queue
management, and error handling with version compatibility
- **Database Migration Testing**: Schema creation, version compatibility,
and production-like migration workflows
- **Docker Orchestration**: Dedicated test environment with PostgreSQL,
workers, and proper service dependencies
## Test Infrastructure
- **43 integration test cases** covering all major functionality
- **Containerized test environment** isolated from development
- **Automated CI/CD pipeline** with GitHub Actions
- **Performance benchmarking** and resource usage validation
- **Comprehensive error scenarios** and edge case handling
## Developer Tools
- `./scripts/run-integration-tests.sh` - Full-featured test runner
- `Makefile` - Simplified commands for common tasks
- `docker-compose.integration.yml` - Dedicated test environment
- GitHub Actions workflow with test matrix and artifact upload
## Test Coverage
- Multi-format video encoding (MP4, WebM, OGV)
- Quality preset validation (low, medium, high, ultra)
- Async job submission and processing
- Worker version compatibility (Procrastinate 2.x/3.x)
- Database schema migrations and rollbacks
- Concurrent processing scenarios
- Performance benchmarks and timeouts
Files Added:
- tests/integration/ - Complete test suite with fixtures
- docker-compose.integration.yml - Test environment configuration
- scripts/run-integration-tests.sh - Test runner with advanced options
- .github/workflows/integration-tests.yml - CI/CD pipeline
- Makefile - Development workflow automation
- Enhanced pyproject.toml with integration test dependencies
Usage:
```bash
make test-integration # Run all integration tests
./scripts/run-integration-tests.sh -v # Verbose output
./scripts/run-integration-tests.sh -k # Keep containers for debugging
make docker-test # Clean Docker test run
```
- Add video-360 extra for core 360° processing (py360convert, opencv, numpy, scipy)
- Add spatial-audio extra for spatial audio processing (librosa, soundfile)
- Add metadata-360 extra for enhanced metadata extraction (exifread)
- Add video-360-full extra for complete 360° feature set
- Update README with installation options and feature documentation
- Maintain backward compatibility with existing basic installation
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
✨ Features:
- Multi-format encoding (MP4, WebM, OGV) with two-pass encoding
- Professional quality presets (Low, Medium, High, Ultra)
- Thumbnail generation and seekbar sprite creation
- Background processing with Procrastinate integration
- Type-safe configuration with Pydantic V2
- Modern Python tooling (uv, ruff, pytest)
- Comprehensive test suite and documentation
🛠️ Tech Stack:
- Python 3.11+ with full type hints
- FFmpeg integration via ffmpeg-python
- msprites2 fork for professional sprite generation
- Procrastinate for scalable background tasks
- Storage abstraction layer (local + future S3)
📚 Includes examples, API documentation, and development guides
🚀 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
