mirror of
https://github.com/hwchase17/langchain.git
synced 2025-09-29 15:28:54 +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()
```
109 lines
3.7 KiB
Python
109 lines
3.7 KiB
Python
"""Util that calls Merriam-Webster."""
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import json
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from typing import Dict, Iterator, List, Optional
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from urllib.parse import quote
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import requests
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from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
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from langchain_core.utils import get_from_dict_or_env
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MERRIAM_WEBSTER_API_URL = (
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"https://www.dictionaryapi.com/api/v3/references/collegiate/json"
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)
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MERRIAM_WEBSTER_TIMEOUT = 5000
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class MerriamWebsterAPIWrapper(BaseModel):
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"""Wrapper for Merriam-Webster.
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Docs for using:
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1. Go to https://www.dictionaryapi.com/register/index and register an
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developer account with a key for the Collegiate Dictionary
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2. Get your API Key from https://www.dictionaryapi.com/account/my-keys
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3. Save your API Key into MERRIAM_WEBSTER_API_KEY env variable
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"""
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merriam_webster_api_key: Optional[str] = None
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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 api key exists in environment."""
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merriam_webster_api_key = get_from_dict_or_env(
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values, "merriam_webster_api_key", "MERRIAM_WEBSTER_API_KEY"
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)
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values["merriam_webster_api_key"] = merriam_webster_api_key
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return values
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def run(self, query: str) -> str:
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"""Run query through Merriam-Webster API and return a formatted result."""
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quoted_query = quote(query)
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request_url = (
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f"{MERRIAM_WEBSTER_API_URL}/{quoted_query}"
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f"?key={self.merriam_webster_api_key}"
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)
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response = requests.get(request_url, timeout=MERRIAM_WEBSTER_TIMEOUT)
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if response.status_code != 200:
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return response.text
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return self._format_response(query, response)
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def _format_response(self, query: str, response: requests.Response) -> str:
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content = json.loads(response.content)
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if not content:
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return f"No Merriam-Webster definition was found for query '{query}'."
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if isinstance(content[0], str):
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result = f"No Merriam-Webster definition was found for query '{query}'.\n"
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if len(content) > 1:
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alternatives = [f"{i + 1}. {content[i]}" for i in range(len(content))]
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result += "You can try one of the following alternative queries:\n\n"
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result += "\n".join(alternatives)
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else:
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result += f"Did you mean '{content[0]}'?"
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else:
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result = self._format_definitions(query, content)
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return result
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def _format_definitions(self, query: str, definitions: List[Dict]) -> str:
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formatted_definitions: List[str] = []
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for definition in definitions:
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formatted_definitions.extend(self._format_definition(definition))
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if len(formatted_definitions) == 1:
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return f"Definition of '{query}':\n" f"{formatted_definitions[0]}"
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result = f"Definitions of '{query}':\n\n"
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for i, formatted_definition in enumerate(formatted_definitions, 1):
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result += f"{i}. {formatted_definition}\n"
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return result
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def _format_definition(self, definition: Dict) -> Iterator[str]:
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if "hwi" in definition:
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headword = definition["hwi"]["hw"].replace("*", "-")
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else:
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headword = definition["meta"]["id"].split(":")[0]
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if "fl" in definition:
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functional_label = definition["fl"]
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if "shortdef" in definition:
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for short_def in definition["shortdef"]:
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yield f"{headword}, {functional_label}: {short_def}"
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else:
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yield f"{headword}, {functional_label}"
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