[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 = "Ryan Malloy", email = "ryan@malloys.us"}]
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]
# Test discovery
testpaths = ["tests"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]

# Async support
asyncio_mode = "auto"

# Plugin configuration
addopts = [
    "-v",                                    # Verbose output
    "--strict-markers",                      # Require marker registration
    "--tb=short",                           # Short traceback format
    "--disable-warnings",                   # Disable warnings in output
    "--color=yes",                          # Force color output
    "--durations=10",                       # Show 10 slowest tests
]

# Test markers (registered by plugin but documented here)
markers = [
    "unit: Unit tests for individual components",
    "integration: Integration tests across components",
    "performance: Performance and benchmark tests",
    "smoke: Quick smoke tests for basic functionality",
    "regression: Regression tests for bug fixes",
    "e2e: End-to-end workflow tests",
    "video_360: 360° video processing tests",
    "ai_analysis: AI-powered video analysis tests",
    "streaming: Streaming and adaptive bitrate tests",
    "requires_ffmpeg: Tests requiring FFmpeg installation",
    "requires_gpu: Tests requiring GPU acceleration",
    "slow: Slow-running tests (>5 seconds)",
    "memory_intensive: Tests using significant memory",
    "cpu_intensive: Tests using significant CPU",
    "benchmark: Benchmark tests for performance measurement",
]

# Test filtering
filterwarnings = [
    "ignore::DeprecationWarning",
    "ignore::PendingDeprecationWarning",
    "ignore::UserWarning:requests.*",
]

# Parallel execution (requires pytest-xdist)
# Usage: pytest -n auto (auto-detect CPU count)
# Usage: pytest -n 4 (use 4 workers)

# Minimum test versions
minversion = "7.0"

# Test timeouts (requires pytest-timeout)
timeout = 300  # 5 minutes default timeout
timeout_method = "thread"

[dependency-groups]
dev = [
    "docker>=7.1.0",
    "mypy>=1.17.1",
    "numpy>=2.3.2",
    "opencv-python>=4.11.0.86",
    "psycopg2-binary>=2.9.10",
    "pytest>=8.4.2",
    "pytest-asyncio>=0.21.0",
    "pytest-cov>=6.2.1",
    "pytest-xdist>=3.6.0",      # Parallel test execution
    "pytest-timeout>=2.3.1",    # Test timeout handling
    "pytest-html>=4.1.1",       # HTML report generation
    "pytest-json-report>=1.5.0", # JSON report generation
    "psutil>=6.0.0",            # System resource monitoring
    "requests>=2.32.5",
    "ruff>=0.12.12",
    "tqdm>=4.67.1",
]