unstructured/setup.py
Roman Isecke d6f2841ff4
feat: update dependencies and remove constraint on pydantic (#2841)
### Description
* The `consistent-deps.sh` was fixed to take into account the ingest
dependencies, causing some errors to show up. New constriants were added
to make that script pass.
* Update all requirements without constraint on pydantic, allowing the
latest version to be pulled in.
* `pikepdf` is causing a conflict but there's a fix on their `main`
branch, just need for the next release to be published. Opened up a
question here to see if we can get that out any sooner: [Do releases
happen on a
schedule?](https://github.com/pikepdf/pikepdf/discussions/574). For now
added `lxml<5` to the constraints.

A couple optimizations: 
* `constraints.in` renamed to `constraints.txt` since the whole point is
all dependencies are already pinned and the file never gets compiled
* `constraints.txt` moved to a `requirements/deps` directory as this
never gets compiled by `pip-compile`
* Other dependency files updated to reference the new location of
`base.in` and `constraints.txt`
* make file updated since it was originally written to avoid the
`base.in` and `constraints.in` file
2024-04-04 19:58:23 +00:00

181 lines
7.7 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")
doc_reqs = load_requirements("requirements/extra-docx.in")
docx_reqs = load_requirements("requirements/extra-docx.in")
epub_reqs = load_requirements("requirements/extra-epub.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")
ppt_reqs = load_requirements("requirements/extra-pptx.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=">=3.9.0,<3.12",
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 :: 3.9",
"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,
"doc": doc_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,
"ppt": ppt_reqs,
"pptx": pptx_reqs,
"rtf": rtf_reqs,
"rst": rst_reqs,
"tsv": tsv_reqs,
"xlsx": xlsx_reqs,
# Extra requirements for data connectors
"airtable": load_requirements("requirements/ingest/airtable.in"),
"astra": load_requirements("requirements/ingest/astra.in"),
"azure": load_requirements("requirements/ingest/azure.in"),
"azure-cognitive-search": load_requirements(
"requirements/ingest/azure-cognitive-search.in",
),
"biomed": load_requirements("requirements/ingest/biomed.in"),
"box": load_requirements("requirements/ingest/box.in"),
"chroma": load_requirements("requirements/ingest/chroma.in"),
"clarifai": load_requirements("requirements/ingest/clarifai.in"),
"confluence": load_requirements("requirements/ingest/confluence.in"),
"delta-table": load_requirements("requirements/ingest/delta-table.in"),
"discord": load_requirements("requirements/ingest/discord.in"),
"dropbox": load_requirements("requirements/ingest/dropbox.in"),
"elasticsearch": load_requirements("requirements/ingest/elasticsearch.in"),
"gcs": load_requirements("requirements/ingest/gcs.in"),
"github": load_requirements("requirements/ingest/github.in"),
"gitlab": load_requirements("requirements/ingest/gitlab.in"),
"google-drive": load_requirements("requirements/ingest/google-drive.in"),
"hubspot": load_requirements("requirements/ingest/hubspot.in"),
"jira": load_requirements("requirements/ingest/jira.in"),
"mongodb": load_requirements("requirements/ingest/mongodb.in"),
"notion": load_requirements("requirements/ingest/notion.in"),
"onedrive": load_requirements("requirements/ingest/onedrive.in"),
"opensearch": load_requirements("requirements/ingest/opensearch.in"),
"outlook": load_requirements("requirements/ingest/outlook.in"),
"pinecone": load_requirements("requirements/ingest/pinecone.in"),
"postgres": load_requirements("requirements/ingest/postgres.in"),
"qdrant": load_requirements("requirements/ingest/qdrant.in"),
"reddit": load_requirements("requirements/ingest/reddit.in"),
"s3": load_requirements("requirements/ingest/s3.in"),
"sharepoint": load_requirements("requirements/ingest/sharepoint.in"),
"salesforce": load_requirements("requirements/ingest/salesforce.in"),
"sftp": load_requirements("requirements/ingest/sftp.in"),
"slack": load_requirements("requirements/ingest/slack.in"),
"wikipedia": load_requirements("requirements/ingest/wikipedia.in"),
"weaviate": load_requirements("requirements/ingest/weaviate.in"),
# Legacy extra requirements
"huggingface": load_requirements("requirements/huggingface.in"),
"local-inference": all_doc_reqs,
"paddleocr": load_requirements("requirements/extra-paddleocr.in"),
"embed-huggingface": load_requirements("requirements/ingest/embed-huggingface.in"),
"embed-octoai": load_requirements("requirements/ingest/embed-octoai.in"),
"embed-vertexai": load_requirements("requirements/ingest/embed-vertexai.in"),
"openai": load_requirements("requirements/ingest/embed-openai.in"),
"bedrock": load_requirements("requirements/ingest/embed-aws-bedrock.in"),
"databricks-volumes": load_requirements("requirements/ingest/databricks-volumes.in"),
},
package_dir={"unstructured": "unstructured"},
package_data={"unstructured": ["nlp/*.in"]},
)