mirror of
https://github.com/hwchase17/langchain.git
synced 2025-11-14 10:40:14 +00:00
```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()
```
162 lines
5.9 KiB
Python
162 lines
5.9 KiB
Python
"""Loader that uses unstructured to load HTML files."""
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import logging
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from typing import Any, List
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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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logger = logging.getLogger(__name__)
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class UnstructuredURLLoader(BaseLoader):
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"""Load files from remote URLs using `Unstructured`.
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Use the unstructured partition function to detect the MIME type
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and route the file to the appropriate partitioner.
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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 UnstructuredURLLoader
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loader = UnstructuredURLLoader(
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urls=["<url-1>", "<url-2>"], 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
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"""
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def __init__(
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self,
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urls: List[str],
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continue_on_failure: bool = True,
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mode: str = "single",
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show_progress_bar: bool = False,
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**unstructured_kwargs: Any,
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):
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"""Initialize with file path."""
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try:
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import unstructured # noqa:F401
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from unstructured.__version__ import __version__ as __unstructured_version__
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self.__version = __unstructured_version__
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except ImportError:
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raise ImportError(
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"unstructured package not found, please install it with "
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"`pip install unstructured`"
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)
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self._validate_mode(mode)
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self.mode = mode
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headers = unstructured_kwargs.pop("headers", {})
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if len(headers.keys()) != 0:
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warn_about_headers = False
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if self.__is_non_html_available():
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warn_about_headers = not self.__is_headers_available_for_non_html()
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else:
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warn_about_headers = not self.__is_headers_available_for_html()
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if warn_about_headers:
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logger.warning(
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"You are using an old version of unstructured. "
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"The headers parameter is ignored"
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)
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self.urls = urls
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self.continue_on_failure = continue_on_failure
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self.headers = headers
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self.unstructured_kwargs = unstructured_kwargs
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self.show_progress_bar = show_progress_bar
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def _validate_mode(self, mode: str) -> None:
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_valid_modes = {"single", "elements"}
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if mode not in _valid_modes:
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raise ValueError(
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f"Got {mode} for `mode`, but should be one of `{_valid_modes}`"
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)
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def __is_headers_available_for_html(self) -> bool:
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_unstructured_version = self.__version.split("-")[0]
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unstructured_version = tuple([int(x) for x in _unstructured_version.split(".")])
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return unstructured_version >= (0, 5, 7)
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def __is_headers_available_for_non_html(self) -> bool:
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_unstructured_version = self.__version.split("-")[0]
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unstructured_version = tuple([int(x) for x in _unstructured_version.split(".")])
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return unstructured_version >= (0, 5, 13)
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def __is_non_html_available(self) -> bool:
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_unstructured_version = self.__version.split("-")[0]
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unstructured_version = tuple([int(x) for x in _unstructured_version.split(".")])
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return unstructured_version >= (0, 5, 12)
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def load(self) -> List[Document]:
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"""Load file."""
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from unstructured.partition.auto import partition
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from unstructured.partition.html import partition_html
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docs: List[Document] = list()
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if self.show_progress_bar:
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try:
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from tqdm import tqdm
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except ImportError as e:
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raise ImportError(
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"Package tqdm must be installed if show_progress_bar=True. "
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"Please install with 'pip install tqdm' or set "
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"show_progress_bar=False."
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) from e
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urls = tqdm(self.urls)
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else:
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urls = self.urls
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for url in urls:
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try:
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if self.__is_non_html_available():
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if self.__is_headers_available_for_non_html():
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elements = partition(
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url=url, headers=self.headers, **self.unstructured_kwargs
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)
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else:
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elements = partition(url=url, **self.unstructured_kwargs)
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else:
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if self.__is_headers_available_for_html():
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elements = partition_html(
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url=url, headers=self.headers, **self.unstructured_kwargs
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)
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else:
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elements = partition_html(url=url, **self.unstructured_kwargs)
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except Exception as e:
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if self.continue_on_failure:
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logger.error(f"Error fetching or processing {url}, exception: {e}")
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continue
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else:
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raise e
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if self.mode == "single":
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text = "\n\n".join([str(el) for el in elements])
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metadata = {"source": url}
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docs.append(Document(page_content=text, metadata=metadata))
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elif self.mode == "elements":
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for element in elements:
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metadata = element.metadata.to_dict()
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metadata["category"] = element.category
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docs.append(Document(page_content=str(element), metadata=metadata))
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return docs
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