unstructured/setup.py
Ahmet Melek ed08773de7
feat: add pinecone destination connector (#1774)
Closes https://github.com/Unstructured-IO/unstructured/issues/1414
Closes #2039 

This PR:
- Uses Pinecone python cli to implement a destination connector for
Pinecone and provides the ingest readme requirements
[(here)](https://github.com/Unstructured-IO/unstructured/tree/main/unstructured/ingest#the-checklist)
for the connector
- Updates documentation for the s3 destination connector
- Alphabetically sorts setup.py contents
- Updates logs for the chunking node  in ingest pipeline
- Adds a baseline session handle implementation for destination
connectors, to be able to parallelize their operations
- For the
[bug](https://github.com/Unstructured-IO/unstructured/issues/1892)
related to persisting element data to ingest embedding nodes; this PR
tests the
[solution](https://github.com/Unstructured-IO/unstructured/pull/1893)
with its ingest test
- Solves a bug on ingest chunking params with [bugfix on chunking params
and implementing related
test](69e1949a6f)

---------

Co-authored-by: Roman Isecke <136338424+rbiseck3@users.noreply.github.com>
2023-11-29 22:37:32 +00:00

170 lines
6.9 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=">=3.7.0",
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,
"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"),
"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"),
"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"),
"notion": load_requirements("requirements/ingest/notion.in"),
"onedrive": load_requirements("requirements/ingest/onedrive.in"),
"outlook": load_requirements("requirements/ingest/outlook.in"),
"pinecone": load_requirements("requirements/ingest/pinecone.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"),
"slack": load_requirements("requirements/ingest/slack.in"),
"wikipedia": load_requirements("requirements/ingest/wikipedia.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"),
"openai": load_requirements("requirements/ingest/embed-openai.in"),
"bedrock": load_requirements("requirements/ingest/embed-aws-bedrock.in"),
"mongodb": load_requirements("requirements/ingest/mongodb.in"),
},
package_dir={"unstructured": "unstructured"},
package_data={"unstructured": ["nlp/*.txt"]},
)