mirror of
https://github.com/hwchase17/langchain.git
synced 2025-11-13 17:19:37 +00:00
a0c2281540
```python
"""python scripts/update_mypy_ruff.py"""
import glob
import tomllib
from pathlib import Path
import toml
import subprocess
import re
ROOT_DIR = Path(__file__).parents[1]
def main():
for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True):
print(path)
with open(path, "rb") as f:
pyproject = tomllib.load(f)
try:
pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = (
"^1.10"
)
pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = (
"^0.5"
)
except KeyError:
continue
with open(path, "w") as f:
toml.dump(pyproject, f)
cwd = "/".join(path.split("/")[:-1])
completed = subprocess.run(
"poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color",
cwd=cwd,
shell=True,
capture_output=True,
text=True,
)
logs = completed.stdout.split("\n")
to_ignore = {}
for l in logs:
if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l):
path, line_no, error_type = re.match(
"^(.*)\:(\d+)\: error:.*\[(.*)\]", l
).groups()
if (path, line_no) in to_ignore:
to_ignore[(path, line_no)].append(error_type)
else:
to_ignore[(path, line_no)] = [error_type]
print(len(to_ignore))
for (error_path, line_no), error_types in to_ignore.items():
all_errors = ", ".join(error_types)
full_path = f"{cwd}/{error_path}"
try:
with open(full_path, "r") as f:
file_lines = f.readlines()
except FileNotFoundError:
continue
file_lines[int(line_no) - 1] = (
file_lines[int(line_no) - 1][:-1] + f" # type: ignore[{all_errors}]\n"
)
with open(full_path, "w") as f:
f.write("".join(file_lines))
subprocess.run(
"poetry run ruff format .; poetry run ruff --select I --fix .",
cwd=cwd,
shell=True,
capture_output=True,
text=True,
)
if __name__ == "__main__":
main()
```
127 lines
4.5 KiB
Python
127 lines
4.5 KiB
Python
"""Loads word documents."""
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import os
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import tempfile
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from abc import ABC
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from pathlib import Path
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from typing import List, Union
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from urllib.parse import urlparse
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import requests
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from langchain_core.documents import Document
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from langchain_community.document_loaders.base import BaseLoader
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from langchain_community.document_loaders.unstructured import UnstructuredFileLoader
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class Docx2txtLoader(BaseLoader, ABC):
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"""Load `DOCX` file using `docx2txt` and chunks at character level.
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Defaults to check for local file, but if the file is a web path, it will download it
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to a temporary file, and use that, then clean up the temporary file after completion
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"""
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def __init__(self, file_path: Union[str, Path]):
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"""Initialize with file path."""
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self.file_path = str(file_path)
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if "~" in self.file_path:
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self.file_path = os.path.expanduser(self.file_path)
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# If the file is a web path, download it to a temporary file, and use that
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if not os.path.isfile(self.file_path) and self._is_valid_url(self.file_path):
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r = requests.get(self.file_path)
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if r.status_code != 200:
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raise ValueError(
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"Check the url of your file; returned status code %s"
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% r.status_code
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)
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self.web_path = self.file_path
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self.temp_file = tempfile.NamedTemporaryFile()
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self.temp_file.write(r.content)
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self.file_path = self.temp_file.name
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elif not os.path.isfile(self.file_path):
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raise ValueError("File path %s is not a valid file or url" % self.file_path)
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def __del__(self) -> None:
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if hasattr(self, "temp_file"):
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self.temp_file.close()
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def load(self) -> List[Document]:
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"""Load given path as single page."""
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import docx2txt
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return [
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Document(
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page_content=docx2txt.process(self.file_path),
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metadata={"source": self.file_path},
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)
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]
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@staticmethod
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def _is_valid_url(url: str) -> bool:
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"""Check if the url is valid."""
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parsed = urlparse(url)
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return bool(parsed.netloc) and bool(parsed.scheme)
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class UnstructuredWordDocumentLoader(UnstructuredFileLoader):
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"""Load `Microsoft Word` file using `Unstructured`.
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Works with both .docx and .doc files.
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You can run the loader in one of two modes: "single" and "elements".
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If you use "single" mode, the document will be returned as a single
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langchain Document object. If you use "elements" mode, the unstructured
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library will split the document into elements such as Title and NarrativeText.
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You can pass in additional unstructured kwargs after mode to apply
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different unstructured settings.
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Examples
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--------
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from langchain_community.document_loaders import UnstructuredWordDocumentLoader
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loader = UnstructuredWordDocumentLoader(
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"example.docx", mode="elements", strategy="fast",
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)
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docs = loader.load()
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References
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----------
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https://unstructured-io.github.io/unstructured/bricks.html#partition-docx
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"""
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def _get_elements(self) -> List:
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from unstructured.__version__ import __version__ as __unstructured_version__
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from unstructured.file_utils.filetype import FileType, detect_filetype
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unstructured_version = tuple(
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[int(x) for x in __unstructured_version__.split(".")]
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)
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# NOTE(MthwRobinson) - magic will raise an import error if the libmagic
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# system dependency isn't installed. If it's not installed, we'll just
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# check the file extension
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try:
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import magic # noqa: F401
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is_doc = detect_filetype(self.file_path) == FileType.DOC
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except ImportError:
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_, extension = os.path.splitext(str(self.file_path))
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is_doc = extension == ".doc"
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if is_doc and unstructured_version < (0, 4, 11):
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raise ValueError(
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f"You are on unstructured version {__unstructured_version__}. "
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"Partitioning .doc files is only supported in unstructured>=0.4.11. "
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"Please upgrade the unstructured package and try again."
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)
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if is_doc:
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from unstructured.partition.doc import partition_doc
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return partition_doc(filename=self.file_path, **self.unstructured_kwargs)
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else:
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from unstructured.partition.docx import partition_docx
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return partition_docx(filename=self.file_path, **self.unstructured_kwargs)
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