mirror of
https://github.com/hwchase17/langchain.git
synced 2025-04-27 11:41:51 +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()
```
72 lines
2.4 KiB
Python
72 lines
2.4 KiB
Python
"""Code for generic / auxiliary parsers.
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This module contains some logic to help assemble more sophisticated parsers.
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"""
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from typing import Iterator, Mapping, Optional
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from langchain_core.documents import Document
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from langchain_community.document_loaders.base import BaseBlobParser
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from langchain_community.document_loaders.blob_loaders.schema import Blob
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class MimeTypeBasedParser(BaseBlobParser):
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"""Parser that uses `mime`-types to parse a blob.
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This parser is useful for simple pipelines where the mime-type is sufficient
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to determine how to parse a blob.
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To use, configure handlers based on mime-types and pass them to the initializer.
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Example:
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.. code-block:: python
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from langchain_community.document_loaders.parsers.generic import MimeTypeBasedParser
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parser = MimeTypeBasedParser(
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handlers={
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"application/pdf": ...,
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},
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fallback_parser=...,
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)
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""" # noqa: E501
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def __init__(
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self,
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handlers: Mapping[str, BaseBlobParser],
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*,
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fallback_parser: Optional[BaseBlobParser] = None,
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) -> None:
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"""Define a parser that uses mime-types to determine how to parse a blob.
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Args:
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handlers: A mapping from mime-types to functions that take a blob, parse it
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and return a document.
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fallback_parser: A fallback_parser parser to use if the mime-type is not
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found in the handlers. If provided, this parser will be
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used to parse blobs with all mime-types not found in
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the handlers.
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If not provided, a ValueError will be raised if the
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mime-type is not found in the handlers.
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"""
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self.handlers = handlers
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self.fallback_parser = fallback_parser
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def lazy_parse(self, blob: Blob) -> Iterator[Document]:
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"""Load documents from a blob."""
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mimetype = blob.mimetype
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if mimetype is None:
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raise ValueError(f"{blob} does not have a mimetype.")
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if mimetype in self.handlers:
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handler = self.handlers[mimetype]
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yield from handler.lazy_parse(blob)
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else:
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if self.fallback_parser is not None:
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yield from self.fallback_parser.lazy_parse(blob)
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else:
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raise ValueError(f"Unsupported mime type: {mimetype}")
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