mirror of
https://github.com/hwchase17/langchain.git
synced 2025-11-23 17:06:54 +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()
```
78 lines
2.4 KiB
Python
78 lines
2.4 KiB
Python
"""Util that calls OpenWeatherMap using PyOWM."""
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from typing import Any, Dict, Optional
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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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class OpenWeatherMapAPIWrapper(BaseModel):
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"""Wrapper for OpenWeatherMap API using PyOWM.
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Docs for using:
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1. Go to OpenWeatherMap and sign up for an API key
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2. Save your API KEY into OPENWEATHERMAP_API_KEY env variable
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3. pip install pyowm
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"""
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owm: Any
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openweathermap_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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openweathermap_api_key = get_from_dict_or_env(
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values, "openweathermap_api_key", "OPENWEATHERMAP_API_KEY"
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)
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try:
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import pyowm
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except ImportError:
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raise ImportError(
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"pyowm is not installed. Please install it with `pip install pyowm`"
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)
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owm = pyowm.OWM(openweathermap_api_key)
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values["owm"] = owm
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return values
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def _format_weather_info(self, location: str, w: Any) -> str:
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detailed_status = w.detailed_status
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wind = w.wind()
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humidity = w.humidity
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temperature = w.temperature("celsius")
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rain = w.rain
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heat_index = w.heat_index
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clouds = w.clouds
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return (
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f"In {location}, the current weather is as follows:\n"
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f"Detailed status: {detailed_status}\n"
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f"Wind speed: {wind['speed']} m/s, direction: {wind['deg']}°\n"
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f"Humidity: {humidity}%\n"
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f"Temperature: \n"
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f" - Current: {temperature['temp']}°C\n"
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f" - High: {temperature['temp_max']}°C\n"
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f" - Low: {temperature['temp_min']}°C\n"
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f" - Feels like: {temperature['feels_like']}°C\n"
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f"Rain: {rain}\n"
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f"Heat index: {heat_index}\n"
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f"Cloud cover: {clouds}%"
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)
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def run(self, location: str) -> str:
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"""Get the current weather information for a specified location."""
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mgr = self.owm.weather_manager()
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observation = mgr.weather_at_place(location)
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w = observation.weather
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return self._format_weather_info(location, w)
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