[project]
name = "pitch-mcp"
version = "0.3.1"
description = "MCP server for real-time pitch detection and score alignment using microphone input"
readme = "README.md"
authors = [
    { name = "Music Assistant Contributors" },
]
license = { text = "MIT" }
keywords = ["mcp", "pitch", "music", "choir", "audio", "musicxml"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Intended Audience :: End Users/Desktop",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.12",
    "Topic :: Multimedia :: Sound/Audio :: Analysis",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
requires-python = ">=3.12"
dependencies = [
    "mcp>=2.2.0,<3.0.0",
    "music21>=9.0.0",
    "librosa>=1.0.0",
    "numpy>=1.24.0",
    "scipy>=1.10.0",
    "sounddevice>=0.4.0",
    "dtaidistance>=2.4.0",
    "jsonschema>=4.20.0",
]

[project.optional-dependencies]
# crepe requires TensorFlow (~500MB). Install manually if needed:
#   pip install crepe tensorflow
# Then set PITCH_BACKEND=crepe to activate.
dev = [
    "pytest>=8.0.0",
    "pytest-asyncio>=0.23.0",
]

[project.scripts]
pitch-mcp = "pitch_mcp.server:main"

[project.urls]
Homepage = "https://github.com/raulkivi/sheet-music-mcp"
Repository = "https://github.com/raulkivi/sheet-music-mcp"
"Bug Tracker" = "https://github.com/raulkivi/sheet-music-mcp/issues"

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.pytest.ini_options]
asyncio_mode = "auto"
markers = [
    "integration: marks tests as slow integration tests that require real audio fixtures",
    "manual: marks tests that require a real microphone or audio loopback device",
]