Files
langchain/libs/text-splitters/pyproject.toml

136 lines
4.2 KiB
TOML

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
authors = []
license = { text = "MIT" }
requires-python = ">=3.10.0,<4.0.0"
dependencies = [
"langchain-core>=1.0.0a7,<2.0.0",
]
name = "langchain-text-splitters"
version = "1.0.0a1"
description = "LangChain text splitting utilities"
readme = "README.md"
[project.urls]
homepage = "https://docs.langchain.com/"
repository = "https://github.com/langchain-ai/langchain/tree/master/libs/text-splitters"
changelog = "https://github.com/langchain-ai/langchain/releases?q=%22langchain-text-splitters%22"
twitter = "https://x.com/LangChainAI"
slack = "https://www.langchain.com/join-community"
reddit = "https://www.reddit.com/r/LangChain/"
[dependency-groups]
lint = [
"ruff>=0.13.1,<0.14.0",
"langchain-core"
]
typing = [
"mypy>=1.18.1,<1.19.0",
"lxml-stubs>=0.5.1,<1.0.0",
"types-requests>=2.31.0.20240218,<3.0.0.0",
"tiktoken>=0.8.0,<1.0.0",
"beautifulsoup4>=4.13.5,<5.0.0",
]
dev = [
"jupyter<2.0.0,>=1.0.0",
"langchain-core"
]
test = [
"pytest>=8.0.0,<9.0.0",
"freezegun>=1.2.2,<2.0.0",
"pytest-mock>=3.10.0,<4.0.0",
"pytest-watcher>=0.3.4,<1.0.0",
"pytest-asyncio>=0.21.1,<1.0.0",
"pytest-socket>=0.7.0,<1.0.0",
"pytest-xdist<4.0.0,>=3.6.1",
"langchain-core",
]
test_integration = [
"spacy>=3.8.7,<4.0.0",
"thinc>=8.3.6,<9.0.0",
"nltk>=3.9.1,<4.0.0",
"transformers>=4.51.3,<5.0.0",
"sentence-transformers>=3.0.1,<4.0.0",
"scipy>=1.7.0,<2.0.0; python_version >= \"3.12\" and python_version < \"3.13\"",
"scipy>=1.14.1,<2.0.0; python_version >= \"3.13\"",
"tiktoken>=0.8.0,<1.0.0",
"en-core-web-sm",
]
[tool.uv.sources]
langchain-core = { path = "../core", editable = true }
en-core-web-sm = { url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl" }
[tool.mypy]
plugins = ["pydantic.mypy"]
strict = true
enable_error_code = "deprecated"
warn_unreachable = true
[[tool.mypy.overrides]]
module = ["konlpy", "nltk",]
ignore_missing_imports = true
[tool.ruff.format]
docstring-code-format = true
[tool.ruff.lint]
select = [ "ALL",]
ignore = [
"C90", # McCabe complexity
"COM812", # Messes with the formatter
"CPY", # No copyright
"FIX002", # Line contains TODO
"ISC001", # Messes with the formatter
"PERF203", # Rarely useful
"PLR09", # Too many something (arg, statements, etc)
"RUF012", # Doesn't play well with Pydantic
"TC001", # Doesn't play well with Pydantic
"TC002", # Doesn't play well with Pydantic
"TC003", # Doesn't play well with Pydantic
"TD002", # Missing author in TODO
"TD003", # Missing issue link in TODO
]
unfixable = [
"B028", # People should intentionally tune the stacklevel
"PLW1510", # People should intentionally set the check argument
]
flake8-annotations.allow-star-arg-any = true
flake8-annotations.mypy-init-return = true
flake8-type-checking.runtime-evaluated-base-classes = ["pydantic.BaseModel","langchain_core.load.serializable.Serializable","langchain_core.runnables.base.RunnableSerializable"]
pep8-naming.classmethod-decorators = [ "classmethod", "langchain_core.utils.pydantic.pre_init", "pydantic.field_validator", "pydantic.v1.root_validator",]
[tool.ruff.lint.pydocstyle]
convention = "google"
ignore-var-parameters = true # ignore missing documentation for *args and **kwargs parameters
[tool.ruff.lint.per-file-ignores]
"scripts/**" = [
"D1", # Docstrings not mandatory in scripts
"INP001", # Not a package
"S311" # Standard pseudo-random generators are not suitable for cryptographic purposes
]
"tests/**" = [
"D1", # Docstrings not mandatory in tests
"PLR2004", # Magic value comparisons
"S101", # Tests need assertions
"S311", # Standard pseudo-random generators are not suitable for cryptographic purposes
"SLF001" # Private member access in tests
]
[tool.coverage.run]
omit = ["tests/*"]
[tool.pytest.ini_options]
addopts = "--strict-markers --strict-config --durations=5"
markers = [
"requires: mark tests as requiring a specific library",
"compile: mark placeholder test used to compile integration tests without running them",
]
asyncio_mode = "auto"