Ryan Malloy
343f989714
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
196 lines
5.4 KiB
TOML
196 lines
5.4 KiB
TOML
[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "video-processor"
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version = "0.3.0"
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description = "Standalone video processing pipeline with multiple format encoding"
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authors = [{name = "Ryan Malloy", email = "ryan@malloys.us"}]
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readme = "README.md"
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requires-python = ">=3.11"
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dependencies = [
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"ffmpeg-python>=0.2.0",
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"pillow>=11.2.1",
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"msprites2 @ git+https://github.com/rsp2k/msprites2.git",
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"procrastinate>=2.15.1,<4.0.0", # Support both 2.x and 3.x during migration
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"psycopg[pool]>=3.2.9",
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"python-dateutil>=2.9.0",
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"pydantic>=2.0.0",
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"pydantic-settings>=2.0.0",
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"exifread>=3.5.1",
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]
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[project.optional-dependencies]
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dev = [
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"ruff>=0.1.0",
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"mypy>=1.7.0",
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"pytest>=7.0.0",
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"pytest-cov>=4.0.0",
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"pytest-asyncio>=0.21.0",
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# Integration testing dependencies
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"docker>=6.1.0",
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"psycopg2-binary>=2.9.0",
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]
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# Core 360° video processing
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video-360 = [
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"py360convert>=0.1.0", # 360° projection conversions
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"opencv-python>=4.5.0", # Advanced image processing
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"numpy>=1.21.0", # Mathematical operations
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"scipy>=1.7.0", # Scientific computing for spherical geometry
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]
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# Spatial audio processing for 360° videos
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spatial-audio = [
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"librosa>=0.9.0", # Audio analysis and processing
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"soundfile>=0.11.0", # Multi-channel audio I/O
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]
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# AI-powered video analysis
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ai-analysis = [
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"opencv-python>=4.5.0", # Advanced computer vision (shared with video-360)
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"numpy>=1.21.0", # Mathematical operations (shared with video-360)
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"scikit-learn>=1.0.0", # Machine learning utilities
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"pillow>=9.0.0", # Image processing utilities
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]
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# Combined advanced features (360° + AI + spatial audio)
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advanced = [
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"video-processor[video-360]",
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"video-processor[ai-analysis]",
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"video-processor[spatial-audio]",
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]
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# Enhanced metadata extraction for 360° videos
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metadata-360 = [
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"exifread>=3.0.0", # 360° metadata parsing
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]
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# Complete 360° video package
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video-360-full = [
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"video-processor[video-360,spatial-audio,metadata-360]"
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]
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[tool.hatch.build.targets.wheel]
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packages = ["src/video_processor"]
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[tool.hatch.build.targets.sdist]
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include = [
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"/src",
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"/tests",
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"/README.md",
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"/pyproject.toml",
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]
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[tool.hatch.metadata]
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allow-direct-references = true
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[tool.ruff]
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target-version = "py311"
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line-length = 88
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[tool.ruff.lint]
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select = [
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"E", # pycodestyle errors
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"W", # pycodestyle warnings
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"F", # pyflakes
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"I", # isort
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"B", # flake8-bugbear
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"C4", # flake8-comprehensions
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"UP", # pyupgrade
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]
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ignore = [
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"E501", # line too long (handled by formatter)
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]
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[tool.ruff.lint.per-file-ignores]
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"tests/*" = ["S101"] # Allow assert in tests
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[tool.ruff.format]
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quote-style = "double"
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indent-style = "space"
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[tool.mypy]
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python_version = "3.11"
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strict = true
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warn_return_any = true
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warn_unused_configs = true
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[tool.pytest.ini_options]
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# Test discovery
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testpaths = ["tests"]
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python_files = ["test_*.py"]
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python_classes = ["Test*"]
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python_functions = ["test_*"]
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# Async support
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asyncio_mode = "auto"
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# Plugin configuration
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addopts = [
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"-v", # Verbose output
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"--strict-markers", # Require marker registration
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"--tb=short", # Short traceback format
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"--disable-warnings", # Disable warnings in output
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"--color=yes", # Force color output
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"--durations=10", # Show 10 slowest tests
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]
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# Test markers (registered by plugin but documented here)
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markers = [
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"unit: Unit tests for individual components",
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"integration: Integration tests across components",
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"performance: Performance and benchmark tests",
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"smoke: Quick smoke tests for basic functionality",
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"regression: Regression tests for bug fixes",
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"e2e: End-to-end workflow tests",
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"video_360: 360° video processing tests",
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"ai_analysis: AI-powered video analysis tests",
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"streaming: Streaming and adaptive bitrate tests",
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"requires_ffmpeg: Tests requiring FFmpeg installation",
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"requires_gpu: Tests requiring GPU acceleration",
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"slow: Slow-running tests (>5 seconds)",
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"memory_intensive: Tests using significant memory",
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"cpu_intensive: Tests using significant CPU",
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"benchmark: Benchmark tests for performance measurement",
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]
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# Test filtering
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filterwarnings = [
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"ignore::DeprecationWarning",
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"ignore::PendingDeprecationWarning",
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"ignore::UserWarning:requests.*",
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]
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# Parallel execution (requires pytest-xdist)
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# Usage: pytest -n auto (auto-detect CPU count)
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# Usage: pytest -n 4 (use 4 workers)
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# Minimum test versions
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minversion = "7.0"
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# Test timeouts (requires pytest-timeout)
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timeout = 300 # 5 minutes default timeout
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timeout_method = "thread"
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[dependency-groups]
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dev = [
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"docker>=7.1.0",
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"mypy>=1.17.1",
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"numpy>=2.3.2",
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"opencv-python>=4.11.0.86",
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"psycopg2-binary>=2.9.10",
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"pytest>=8.4.2",
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"pytest-asyncio>=0.21.0",
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"pytest-cov>=6.2.1",
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"pytest-xdist>=3.6.0", # Parallel test execution
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"pytest-timeout>=2.3.1", # Test timeout handling
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"pytest-html>=4.1.1", # HTML report generation
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"pytest-json-report>=1.5.0", # JSON report generation
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"psutil>=6.0.0", # System resource monitoring
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"requests>=2.32.5",
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"ruff>=0.12.12",
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"tqdm>=4.67.1",
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]
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