mirror of
https://github.com/hwchase17/langchain.git
synced 2025-05-30 19:49:09 +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()
```
118 lines
4.4 KiB
Python
118 lines
4.4 KiB
Python
"""Util that calls Bing Search."""
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from typing import Dict, List
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import requests
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from langchain_core.pydantic_v1 import BaseModel, Extra, Field, root_validator
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from langchain_core.utils import get_from_dict_or_env
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# BING_SEARCH_ENDPOINT is the default endpoint for Bing Web Search API.
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# Currently There are two web-based Bing Search services available on Azure,
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# i.e. Bing Web Search[1] and Bing Custom Search[2]. Compared to Bing Custom Search,
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# Both services that provides a wide range of search results, while Bing Custom
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# Search requires you to provide an additional custom search instance, `customConfig`.
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# Both services are available for BingSearchAPIWrapper.
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# History of Azure Bing Search API:
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# Before shown in Azure Marketplace as a separate service, Bing Search APIs were
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# part of Azure Cognitive Services, the endpoint of which is unique, and the user
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# must specify the endpoint when making a request. After transitioning to Azure
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# Marketplace, the endpoint is standardized and the user does not need to specify
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# the endpoint[3].
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# Reference:
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# 1. https://learn.microsoft.com/en-us/bing/search-apis/bing-web-search/overview
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# 2. https://learn.microsoft.com/en-us/bing/search-apis/bing-custom-search/overview
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# 3. https://azure.microsoft.com/en-in/updates/bing-search-apis-will-transition-from-azure-cognitive-services-to-azure-marketplace-on-31-october-2023/
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DEFAULT_BING_SEARCH_ENDPOINT = "https://api.bing.microsoft.com/v7.0/search"
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class BingSearchAPIWrapper(BaseModel):
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"""Wrapper for Bing Web Search API."""
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bing_subscription_key: str
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bing_search_url: str
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k: int = 10
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search_kwargs: dict = Field(default_factory=dict)
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"""Additional keyword arguments to pass to the search request."""
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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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def _bing_search_results(self, search_term: str, count: int) -> List[dict]:
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headers = {"Ocp-Apim-Subscription-Key": self.bing_subscription_key}
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params = {
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"q": search_term,
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"count": count,
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"textDecorations": True,
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"textFormat": "HTML",
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**self.search_kwargs,
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}
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response = requests.get(
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self.bing_search_url,
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headers=headers,
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params=params, # type: ignore
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)
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response.raise_for_status()
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search_results = response.json()
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if "webPages" in search_results:
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return search_results["webPages"]["value"]
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return []
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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 endpoint exists in environment."""
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bing_subscription_key = get_from_dict_or_env(
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values, "bing_subscription_key", "BING_SUBSCRIPTION_KEY"
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)
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values["bing_subscription_key"] = bing_subscription_key
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bing_search_url = get_from_dict_or_env(
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values,
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"bing_search_url",
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"BING_SEARCH_URL",
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default=DEFAULT_BING_SEARCH_ENDPOINT,
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)
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values["bing_search_url"] = bing_search_url
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return values
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def run(self, query: str) -> str:
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"""Run query through BingSearch and parse result."""
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snippets = []
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results = self._bing_search_results(query, count=self.k)
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if len(results) == 0:
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return "No good Bing Search Result was found"
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for result in results:
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snippets.append(result["snippet"])
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return " ".join(snippets)
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def results(self, query: str, num_results: int) -> List[Dict]:
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"""Run query through BingSearch and return metadata.
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Args:
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query: The query to search for.
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num_results: The number of results to return.
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Returns:
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A list of dictionaries with the following keys:
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snippet - The description of the result.
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title - The title of the result.
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link - The link to the result.
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"""
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metadata_results = []
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results = self._bing_search_results(query, count=num_results)
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if len(results) == 0:
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return [{"Result": "No good Bing Search Result was found"}]
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for result in results:
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metadata_result = {
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"snippet": result["snippet"],
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"title": result["name"],
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"link": result["url"],
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}
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metadata_results.append(metadata_result)
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return metadata_results
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