[tool.poetry]
name = "docling"
version = "1.18.0"  # DO NOT EDIT, updated automatically
description = "Docling PDF conversion package"
authors = ["Christoph Auer <cau@zurich.ibm.com>", "Michele Dolfi <dol@zurich.ibm.com>", "Maxim Lysak <mly@zurich.ibm.com>", "Nikos Livathinos <nli@zurich.ibm.com>", "Ahmed Nassar <ahn@zurich.ibm.com>", "Peter Staar <taa@zurich.ibm.com>"]
license = "MIT"
readme = "README.md"
repository = "https://github.com/DS4SD/docling"
homepage = "https://github.com/DS4SD/docling"
keywords= ["docling", "convert", "document", "pdf", "layout model", "segmentation", "table structure", "table former"]
 classifiers = [
     "License :: OSI Approved :: MIT License",
     "Operating System :: MacOS :: MacOS X",
     "Operating System :: POSIX :: Linux",
     "Development Status :: 5 - Production/Stable",
     "Intended Audience :: Developers",
     "Intended Audience :: Science/Research",
     "Topic :: Scientific/Engineering :: Artificial Intelligence",
     "Programming Language :: Python :: 3"
 ]
packages = [{include = "docling"}]

[tool.poetry.dependencies]
##############
# constraints:
##############
torch = [
  {version = "^2.2.2", optional = true, markers = "sys_platform != 'darwin' or platform_machine != 'x86_64'"},
  {version = "~2.2.2", optional = true, markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'"}
]
torchvision = [
  {version = "^0", optional = true, markers = "sys_platform != 'darwin' or platform_machine != 'x86_64'"},
  {version = "~0.17.2", optional = true, markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'"}
]
######################
# actual dependencies:
######################
python = "^3.10"
pydantic = "^2.0.0"
docling-core = "^1.6.2"
docling-ibm-models = "^2.0.0"
deepsearch-glm = "^0.22.0"
filetype = "^1.2.0"
pypdfium2 = "^4.30.0"
pydantic-settings = "^2.3.0"
huggingface_hub = ">=0.23,<1"
requests = "^2.32.3"
easyocr = "^1.7"
tesserocr = { version = "^2.7.1", optional = true }
docling-parse = "^1.4.1"
certifi = ">=2024.7.4"
rtree = "^1.3.0"
scipy = "^1.14.1"
pyarrow = "^16.1.0"
typer = "^0.12.5"

[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "^24.4.2"}
pytest = "^7.2.2"
pre-commit = "^3.7.1"
mypy = "^1.10.1"
isort = "^5.10.1"
python-semantic-release = "^7.32.2"
flake8 = "^6.0.0"
pyproject-flake8 = "^6.0.0"
pytest-xdist = "^3.3.1"
types-requests = "^2.31.0.2"
flake8-pyproject = "^1.2.3"
pylint = "^2.17.5"
pandas-stubs = "^2.2.2.240909"
ipykernel = "^6.29.5"
ipywidgets = "^8.1.5"
nbqa = "^1.9.0"

[tool.poetry.group.examples.dependencies]
datasets = "^2.21.0"
python-dotenv = "^1.0.1"
llama-index-embeddings-huggingface = "^0.3.1"
llama-index-llms-huggingface-api = "^0.2.0"
llama-index-vector-stores-milvus = "^0.2.1"
langchain-huggingface = "^0.0.3"
langchain-milvus = "^0.1.4"
langchain-text-splitters = "^0.2.4"

[tool.poetry.extras]
tesserocr = ["tesserocr"]

[tool.poetry.scripts]
docling = "docling.cli.main:app"

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

[tool.black]
line-length = 88
target-version = ["py310"]
include = '\.pyi?$'

[tool.isort]
profile = "black"
line_length = 88
py_version=311

[tool.mypy]
pretty = true
# strict = true
no_implicit_optional = true
python_version = "3.10"

[[tool.mypy.overrides]]
module = [
    "docling_parse.*",
    "pypdfium2.*",
    "networkx.*",
]
ignore_missing_imports = true

[tool.flake8]
max-line-length = 88
extend-ignore = ["E203", "E501"]

[tool.semantic_release]
# for default values check:
# https://github.com/python-semantic-release/python-semantic-release/blob/v7.32.2/semantic_release/defaults.cfg

version_source = "tag_only"
branch = "main"

# configure types which should trigger minor and patch version bumps respectively
# (note that they must be a subset of the configured allowed types):
parser_angular_allowed_types = "build,chore,ci,docs,feat,fix,perf,style,refactor,test"
parser_angular_minor_types = "feat"
parser_angular_patch_types = "fix,perf"