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

[project]
name = "mcp-data-profiler"
version = "0.1.1"
description = "MCP server that profiles local datasets (CSV, Parquet, JSON, Excel) so AI agents can understand data without reading raw rows."
readme = "README.md"
license = "MIT"
requires-python = ">=3.10"
authors = [{ name = "Rida Aderkane" }]
keywords = ["mcp", "model-context-protocol", "data-profiling", "pandas", "llm"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Topic :: Scientific/Engineering :: Information Analysis",
]
dependencies = [
    "mcp>=2.0.0",
    # Works on both pandas 2.x and 3.x; string dtype differs between them.
    "pandas>=2.0",
    "pyarrow>=14.0",
    "openpyxl>=3.1",
]

[project.optional-dependencies]
dev = ["pytest>=8.0", "ruff>=0.6"]

[project.urls]
Homepage = "https://github.com/Ridadata/mcp-data-profiler"
Issues = "https://github.com/Ridadata/mcp-data-profiler/issues"

[project.scripts]
mcp-data-profiler = "mcp_data_profiler.server:main"

[tool.hatch.build.targets.wheel]
packages = ["src/mcp_data_profiler"]

[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["src"]

[tool.ruff]
line-length = 100
target-version = "py310"

[tool.ruff.lint]
select = ["E", "F", "W", "I", "N", "UP", "B", "SIM", "RUF", "BLE"]

[tool.ruff.lint.per-file-ignores]
# Reading a data file can fail in ways pandas and its engines do not document
# exhaustively. These three sites deliberately degrade instead of propagating:
# a missing row count or sheet list is a nicety, and the demo must survive one
# bad file to profile the rest.
"src/mcp_data_profiler/profiler.py" = ["BLE001"]
"demo.py" = ["BLE001"]