hf-eda-mcp / pyproject.toml
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[project]
name = "hf-eda-mcp"
version = "0.1.0"
description = "MCP server for EDA on HuggingFace datasets"
authors = [
{name = "Khalil Guetari", email = "[email protected]"},
]
dependencies = [
"gradio==6.0.0",
"datasets>=4.3.0",
"huggingface_hub>=0.20.0",
"pydantic>=2.0.0",
"pandas>=2.0.0",
"numpy>=1.24.0"
]
requires-python = ">=3.13"
readme = "README.md"
license = {text = "Apache-2.0"}
[project.optional-dependencies]
hf-cli = [
"huggingface-hub[cli]>=1.1.4",
]
plots = [
"matplotlib>=3.10.7",
"seaborn>=0.13.2",
]
[build-system]
requires = ["setuptools>=61.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools]
package-dir = {"" = "src"}
[tool.setuptools.packages.find]
where = ["src"]
[tool.pdm.scripts]
hf-eda-mcp = {cmd="python -m hf_eda_mcp", env_file= ".env"}
hf_client_playground = "python -m scripts.playground.hf_client_playground"
metadata_playground = "python -m scripts.playground.metadata_tool_playground"
analysis_playground = "python -m scripts.playground.analysis_tool_playground"
[tool.pdm]
distribution = true
[tool.pdm.dev-dependencies]
lint = [
"ruff>=0.1.0",
"black>=23.0.0",
"mypy>=1.0.0"
]
[dependency-groups]
test = [
"pytest>=9.0.1",
"pytest-asyncio>=0.21.0",
"pytest-cov>=4.0.0",
]