mirror of
https://github.com/hwchase17/langchain.git
synced 2025-06-02 13:08:57 +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()
```
89 lines
2.4 KiB
Python
89 lines
2.4 KiB
Python
"""Util that calls bibtexparser."""
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import logging
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from typing import Any, Dict, List, Mapping
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from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
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logger = logging.getLogger(__name__)
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OPTIONAL_FIELDS = [
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"annotate",
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"booktitle",
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"editor",
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"howpublished",
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"journal",
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"keywords",
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"note",
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"organization",
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"publisher",
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"school",
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"series",
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"type",
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"doi",
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"issn",
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"isbn",
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]
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class BibtexparserWrapper(BaseModel):
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"""Wrapper around bibtexparser.
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To use, you should have the ``bibtexparser`` python package installed.
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https://bibtexparser.readthedocs.io/en/master/
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This wrapper will use bibtexparser to load a collection of references from
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a bibtex file and fetch document summaries.
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"""
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class Config:
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"""Configuration for this pydantic object."""
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extra = Extra.forbid
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@root_validator(pre=True)
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that the python package exists in environment."""
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try:
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import bibtexparser # noqa
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except ImportError:
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raise ImportError(
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"Could not import bibtexparser python package. "
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"Please install it with `pip install bibtexparser`."
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)
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return values
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def load_bibtex_entries(self, path: str) -> List[Dict[str, Any]]:
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"""Load bibtex entries from the bibtex file at the given path."""
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import bibtexparser
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with open(path) as file:
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entries = bibtexparser.load(file).entries
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return entries
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def get_metadata(
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self, entry: Mapping[str, Any], load_extra: bool = False
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) -> Dict[str, Any]:
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"""Get metadata for the given entry."""
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publication = entry.get("journal") or entry.get("booktitle")
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if "url" in entry:
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url = entry["url"]
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elif "doi" in entry:
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url = f'https://doi.org/{entry["doi"]}'
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else:
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url = None
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meta = {
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"id": entry.get("ID"),
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"published_year": entry.get("year"),
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"title": entry.get("title"),
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"publication": publication,
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"authors": entry.get("author"),
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"abstract": entry.get("abstract"),
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"url": url,
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}
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if load_extra:
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for field in OPTIONAL_FIELDS:
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meta[field] = entry.get(field)
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return {k: v for k, v in meta.items() if v is not None}
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