AIRCHECK-data-package/pyproject.toml at main · StructuralGenomicsConsortium/AIRCHECK-data-package · GitHub

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[build-system]
requires = ["setuptools>=45", "setuptools_scm[toml]>=6.2"]
build-backend = "setuptools.build_meta"

[project]
name = "aircheckdata"
version = "1.0.4"
description = "This repository contains the implementation of  dataset loader for Parquet files."
authors = [
{name = "Nabin Bagale", email = "bhklab.nabinbagale@gmail.com"},
]
readme = "README package.md"
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
]
requires-python = ">=3.9"
dependencies = [
    "pandas>=1.3.0",
    "pyarrow>=5.0.0",
    "tqdm>=4.62.0",
    "requests>=2.25.0",
    "PyYAML>=5.4.0",
    "gcsfs>=2025.3.2",
    "click>=8.0.0",
]

[dependency-groups]
dev = [
    "ipywidgets",
    "jupyterlab",
    "pytest >=7",
    "pytest-xdist",
    "pytest-cov",
    "ruff",
]

[project.urls]
"Website" = "https://www.aircheck.ai/"
"Source Code" = "https://github.com/StructuralGenomicsConsortium/AIRCHECK-data-package"
"Bug Tracker" = "https://github.com/StructuralGenomicsConsortium/AIRCHECK-data-package/issues"
"Documentation" = "https://github.com/StructuralGenomicsConsortium/AIRCHECK-data-package"

[project.optional-dependencies]
gcs = ["google-cloud-storage>=2.0.0"]
dev = ["pytest>=7.0.0"]

[tool.setuptools]
package-dir = {"" = "src"}

[tool.setuptools.package-data]
"*" = ["*.yaml", "*.yml", "*.json"]

[tool.setuptools.packages.find]
where = ["src"]

[project.scripts]
aircheckdata = "aircheckdata.cli.main:cli"


[tool.semantic_release]
version_toml = ["pyproject.toml:project.version"]
branch = "main"
upload_to_pypi = false
upload_to_release = true
build_command = "pip install build && python -m build"

[tool.semantic_release.commit_parser_options]
allowed_tags = ["build", "chore", "ci", "docs", "feat", "fix", "perf", "style", "refactor", "test"]
minor_tags = ["feat"]
patch_tags = ["fix", "perf"]

[tool.semantic_release.remote.token]
env = "GITHUB_TOKEN"

[tool.semantic_release.changelog]
changelog_file = "CHANGELOG.md"


[tool.ruff]
line-length = 88
target-version = "py311"

[tool.ruff.lint]
# Activate all the rules that are pyupgrade-related
select = [
  "UP",   # pyupgrade
  "D",    # pydocstyle
  "PT",   # pytest style checking
  "C4",   # comprehensions style checking
  "PD",   # pandas style checking
  "F",    # pyflakes: is-literal
  "W605", # pycodestyle: invalid-escape-sequence
  "I",    # isort
  "UP015", # pyupgrade: use f-string

]
ignore = [
  "PD901",  # Allow short DataFrame names like df
  "F401", # Allow use of is-literal in f-strings
   "D212", # Allow docstrings to not have a blank line after the summary
   "E203", # Allow whitespace before ':', which is common in pandas code
    "D213"   , # Allow docstrings to not have a blank line after the summary
]

per-file-ignores = {"__init__.py" = ["F401"]}

[tool.ruff.lint.pydocstyle]
convention = "google"  # or "numpy" or "pep257"

[tool.ruff.format]
# Use double quotes for strings
quote-style = "double"
# Use trailing commas
skip-magic-trailing-comma = false