mirror of
https://github.com/hwchase17/langchain.git
synced 2025-09-28 15:00:23 +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()
```
100 lines
3.3 KiB
Python
100 lines
3.3 KiB
Python
"""Util that calls Google Finance Search."""
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from typing import Any, Dict, Optional, cast
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from langchain_core.pydantic_v1 import BaseModel, Extra, SecretStr, root_validator
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from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
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class GoogleFinanceAPIWrapper(BaseModel):
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"""Wrapper for SerpApi's Google Finance API
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You can create SerpApi.com key by signing up at: https://serpapi.com/users/sign_up.
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The wrapper uses the SerpApi.com python package:
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https://serpapi.com/integrations/python
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To use, you should have the environment variable ``SERPAPI_API_KEY``
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set with your API key, or pass `serp_api_key` as a named parameter
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to the constructor.
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Example:
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.. code-block:: python
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from langchain_community.utilities import GoogleFinanceAPIWrapper
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google_Finance = GoogleFinanceAPIWrapper()
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google_Finance.run('langchain')
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"""
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serp_search_engine: Any
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serp_api_key: Optional[SecretStr] = 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 and python package exists in environment."""
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values["serp_api_key"] = convert_to_secret_str(
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get_from_dict_or_env(values, "serp_api_key", "SERPAPI_API_KEY")
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)
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try:
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from serpapi import SerpApiClient
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except ImportError:
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raise ImportError(
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"google-search-results is not installed. "
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"Please install it with `pip install google-search-results"
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">=2.4.2`"
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)
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serp_search_engine = SerpApiClient
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values["serp_search_engine"] = serp_search_engine
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return values
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def run(self, query: str) -> str:
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"""Run query through Google Finance with Serpapi"""
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serpapi_api_key = cast(SecretStr, self.serp_api_key)
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params = {
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"engine": "google_finance",
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"api_key": serpapi_api_key.get_secret_value(),
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"q": query,
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}
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total_results = {}
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client = self.serp_search_engine(params)
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total_results = client.get_dict()
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if not total_results:
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return "Nothing was found from the query: " + query
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markets = total_results.get("markets", {})
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res = "\nQuery: " + query + "\n"
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if "futures_chain" in total_results:
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futures_chain = total_results.get("futures_chain", [])[0]
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stock = futures_chain["stock"]
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price = futures_chain["price"]
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temp = futures_chain["price_movement"]
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percentage = temp["percentage"]
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movement = temp["movement"]
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res += (
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f"stock: {stock}\n"
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+ f"price: {price}\n"
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+ f"percentage: {percentage}\n"
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+ f"movement: {movement}\n"
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)
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else:
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res += "No summary information\n"
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for key in markets:
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if (key == "us") or (key == "asia") or (key == "europe"):
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res += key
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res += ": price = "
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res += str(markets[key][0]["price"])
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res += ", movement = "
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res += markets[key][0]["price_movement"]["movement"]
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res += "\n"
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return res
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