unstructured/setup.py
Matt Robinson 331c7faf38
build(deps): split up dependencies by document type (#986)
* split dependencies by document type

* make pip-compile with new requirements

* add extra requirements to setup.py

* add in all docs; re pip-compile

* extra for all docs

* add pandas to xlsx

* dependency requires for tsv and csv

* handling for doc, docx and odt

* dependency check for pypandoc

* required dependencies for pandoc files

* xml and html

* markdown

* msg

* add in pdf

* add in pptx

* add in excel

* add lxml as base req

* extra all docs for local inference

* local inference installs all

* pin pillow version

* fixes for plain text tests

* fixes for doc

* update make commands

* changelog and version

* add xlrd

* update pip-compile

* pin numpy for python 3.8 support

* more constraints

* contraint on scipy

* update install docs

* constrain ipython

* add outlook to pip-compile

* more ipython constraints

* add extras to dockerfile

* pin office365 client

* few doc tweaks

* types as strings

* last pip-compile

* re pip-comple

* make tidy

* make tidy
2023-08-01 11:31:13 -04:00

151 lines
5.6 KiB
Python

"""
setup.py
unstructured - pre-processing tools for unstructured data
Copyright 2022 Unstructured Technologies, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from typing import List, Optional, Union
from setuptools import find_packages, setup
from unstructured.__version__ import __version__
def load_requirements(file_list: Optional[Union[str, List[str]]] = None) -> List[str]:
if file_list is None:
file_list = ["requirements/base.in"]
if isinstance(file_list, str):
file_list = [file_list]
requirements: List[str] = []
for file in file_list:
with open(file, encoding="utf-8") as f:
requirements.extend(f.readlines())
requirements = [
req
for req in requirements
if not req.startswith("#") and not req.startswith("-")
]
return requirements
csv_reqs = load_requirements("requirements/extra-csv.in")
docx_reqs = load_requirements("requirements/extra-docx.in")
epub_reqs = load_requirements("requirements/extra-pandoc.in")
image_reqs = load_requirements("requirements/extra-pdf-image.in")
markdown_reqs = load_requirements("requirements/extra-markdown.in")
msg_reqs = load_requirements("requirements/extra-msg.in")
odt_reqs = load_requirements("requirements/extra-odt.in")
org_reqs = load_requirements("requirements/extra-pandoc.in")
pdf_reqs = load_requirements("requirements/extra-pdf-image.in")
pptx_reqs = load_requirements("requirements/extra-pptx.in")
rtf_reqs = load_requirements("requirements/extra-pandoc.in")
rst_reqs = load_requirements("requirements/extra-pandoc.in")
tsv_reqs = load_requirements("requirements/extra-csv.in")
xlsx_reqs = load_requirements("requirements/extra-xlsx.in")
all_doc_reqs = list(
set(
csv_reqs
+ docx_reqs
+ epub_reqs
+ image_reqs
+ markdown_reqs
+ msg_reqs
+ odt_reqs
+ org_reqs
+ pdf_reqs
+ pptx_reqs
+ rtf_reqs
+ rst_reqs
+ tsv_reqs
+ xlsx_reqs,
),
)
setup(
name="unstructured",
description="A library that prepares raw documents for downstream ML tasks.",
long_description=open("README.md", encoding="utf-8").read(), # noqa: SIM115
long_description_content_type="text/markdown",
keywords="NLP PDF HTML CV XML parsing preprocessing",
url="https://github.com/Unstructured-IO/unstructured",
python_requires=">=3.7.0",
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
author="Unstructured Technologies",
author_email="devops@unstructuredai.io",
license="Apache-2.0",
packages=find_packages(),
version=__version__,
entry_points={
"console_scripts": ["unstructured-ingest=unstructured.ingest.main:main"],
},
install_requires=load_requirements(),
extras_require={
# Document specific extra requirements
"all-docs": all_doc_reqs,
"csv": csv_reqs,
"docx": docx_reqs,
"epub": epub_reqs,
"image": image_reqs,
"md": markdown_reqs,
"msg": msg_reqs,
"odt": odt_reqs,
"org": org_reqs,
"pdf": pdf_reqs,
"pptx": pptx_reqs,
"rtf": rtf_reqs,
"rst": rst_reqs,
"tsv": tsv_reqs,
"xlsx": xlsx_reqs,
# Extra requirements for data connectors
"s3": load_requirements("requirements/ingest-s3.in"),
"azure": load_requirements("requirements/ingest-azure.in"),
"discord": load_requirements("requirements/ingest-discord.in"),
"github": load_requirements("requirements/ingest-github.in"),
"gitlab": load_requirements("requirements/ingest-gitlab.in"),
"reddit": load_requirements("requirements/ingest-reddit.in"),
"slack": load_requirements("requirements/ingest-slack.in"),
"wikipedia": load_requirements("requirements/ingest-wikipedia.in"),
"google-drive": load_requirements("requirements/ingest-google-drive.in"),
"gcs": load_requirements("requirements/ingest-gcs.in"),
"elasticsearch": load_requirements("requirements/ingest-elasticsearch.in"),
"dropbox": load_requirements("requirements/ingest-dropbox.in"),
"box": load_requirements("requirements/ingest-box.in"),
"onedrive": load_requirements("requirements/ingest-onedrive.in"),
"outlook": load_requirements("requirements/ingest-outlook.in"),
"confluence": load_requirements("requirements/ingest-confluence.in"),
# Legacy extra requirements
"huggingface": load_requirements("requirements/huggingface.in"),
"local-inference": all_doc_reqs,
},
package_dir={"unstructured": "unstructured"},
package_data={"unstructured": ["nlp/*.txt"]},
)