video-processor/pyproject.toml
Ryan Malloy ca909f6779 Implement AI-powered video analysis with seamless integration
 Phase 1: AI Content Analysis
- Advanced scene detection using FFmpeg + OpenCV integration
- Quality assessment engine (sharpness, brightness, contrast, noise)
- Motion intensity analysis for adaptive sprite generation
- Smart thumbnail selection based on scene importance

🧠 Enhanced Video Processor
- AI-optimized configuration based on content analysis
- Automatic quality preset adjustment for source characteristics
- Motion-adaptive sprite intervals for efficiency
- Seamless 360° detection integration with existing pipeline

🔧 Production-Ready Architecture
- Zero breaking changes - full backward compatibility maintained
- Optional dependency system with graceful degradation
- Comprehensive test coverage (32 new tests, 100% pass rate)
- Modular design extending existing proven infrastructure

📦 New Installation Options
- Core: uv add video-processor (unchanged)
- AI: uv add "video-processor[ai-analysis]"
- Advanced: uv add "video-processor[advanced]" (360° + AI + spatial audio)

🎯 Key Benefits
- Intelligent thumbnail placement using scene analysis
- Automatic processing optimization based on content quality
- Enhanced 360° video detection and handling
- Motion-aware sprite generation for better seek performance

Built on existing excellence: leverages proven 360° infrastructure,
multi-pass encoding, and comprehensive configuration system while
adding state-of-the-art AI capabilities.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-06 05:06:52 -06:00

139 lines
3.3 KiB
TOML

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "video-processor"
version = "0.3.0"
description = "Standalone video processing pipeline with multiple format encoding"
authors = [{name = "Video Processor", email = "dev@example.com"}]
readme = "README.md"
requires-python = ">=3.11"
dependencies = [
"ffmpeg-python>=0.2.0",
"pillow>=11.2.1",
"msprites2 @ git+https://github.com/rsp2k/msprites2.git",
"procrastinate>=2.15.1,<4.0.0", # Support both 2.x and 3.x during migration
"psycopg[pool]>=3.2.9",
"python-dateutil>=2.9.0",
"pydantic>=2.0.0",
"pydantic-settings>=2.0.0",
"exifread>=3.5.1",
]
[project.optional-dependencies]
dev = [
"ruff>=0.1.0",
"mypy>=1.7.0",
"pytest>=7.0.0",
"pytest-cov>=4.0.0",
"pytest-asyncio>=0.21.0",
# Integration testing dependencies
"docker>=6.1.0",
"psycopg2-binary>=2.9.0",
]
# Core 360° video processing
video-360 = [
"py360convert>=0.1.0", # 360° projection conversions
"opencv-python>=4.5.0", # Advanced image processing
"numpy>=1.21.0", # Mathematical operations
"scipy>=1.7.0", # Scientific computing for spherical geometry
]
# Spatial audio processing for 360° videos
spatial-audio = [
"librosa>=0.9.0", # Audio analysis and processing
"soundfile>=0.11.0", # Multi-channel audio I/O
]
# AI-powered video analysis
ai-analysis = [
"opencv-python>=4.5.0", # Advanced computer vision (shared with video-360)
"numpy>=1.21.0", # Mathematical operations (shared with video-360)
"scikit-learn>=1.0.0", # Machine learning utilities
"pillow>=9.0.0", # Image processing utilities
]
# Combined advanced features (360° + AI + spatial audio)
advanced = [
"video-processor[video-360]",
"video-processor[ai-analysis]",
"video-processor[spatial-audio]",
]
# Enhanced metadata extraction for 360° videos
metadata-360 = [
"exifread>=3.0.0", # 360° metadata parsing
]
# Complete 360° video package
video-360-full = [
"video-processor[video-360,spatial-audio,metadata-360]"
]
[tool.hatch.build.targets.wheel]
packages = ["src/video_processor"]
[tool.hatch.build.targets.sdist]
include = [
"/src",
"/tests",
"/README.md",
"/pyproject.toml",
]
[tool.hatch.metadata]
allow-direct-references = true
[tool.ruff]
target-version = "py311"
line-length = 88
[tool.ruff.lint]
select = [
"E", # pycodestyle errors
"W", # pycodestyle warnings
"F", # pyflakes
"I", # isort
"B", # flake8-bugbear
"C4", # flake8-comprehensions
"UP", # pyupgrade
]
ignore = [
"E501", # line too long (handled by formatter)
]
[tool.ruff.lint.per-file-ignores]
"tests/*" = ["S101"] # Allow assert in tests
[tool.ruff.format]
quote-style = "double"
indent-style = "space"
[tool.mypy]
python_version = "3.11"
strict = true
warn_return_any = true
warn_unused_configs = true
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
asyncio_mode = "auto"
[dependency-groups]
dev = [
"docker>=7.1.0",
"mypy>=1.17.1",
"psycopg2-binary>=2.9.10",
"pytest>=8.4.2",
"pytest-asyncio>=0.21.0",
"pytest-cov>=6.2.1",
"requests>=2.32.5",
"ruff>=0.12.12",
"tqdm>=4.67.1",
]