mirror of
https://github.com/hwchase17/langchain.git
synced 2025-05-10 09:36:08 +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()
```
173 lines
6.7 KiB
Python
173 lines
6.7 KiB
Python
"""Util that calls Metaphor Search API.
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In order to set this up, follow instructions at:
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"""
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import json
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from typing import Dict, List, Optional
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import aiohttp
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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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METAPHOR_API_URL = "https://api.metaphor.systems"
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class MetaphorSearchAPIWrapper(BaseModel):
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"""Wrapper for Metaphor Search API."""
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metaphor_api_key: str
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k: int = 10
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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 _metaphor_search_results(
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self,
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query: str,
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num_results: int,
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include_domains: Optional[List[str]] = None,
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exclude_domains: Optional[List[str]] = None,
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start_crawl_date: Optional[str] = None,
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end_crawl_date: Optional[str] = None,
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start_published_date: Optional[str] = None,
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end_published_date: Optional[str] = None,
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use_autoprompt: Optional[bool] = None,
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) -> List[dict]:
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headers = {"X-Api-Key": self.metaphor_api_key}
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params = {
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"numResults": num_results,
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"query": query,
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"includeDomains": include_domains,
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"excludeDomains": exclude_domains,
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"startCrawlDate": start_crawl_date,
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"endCrawlDate": end_crawl_date,
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"startPublishedDate": start_published_date,
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"endPublishedDate": end_published_date,
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"useAutoprompt": use_autoprompt,
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}
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response = requests.post(
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# type: ignore
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f"{METAPHOR_API_URL}/search",
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headers=headers,
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json=params,
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)
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response.raise_for_status()
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search_results = response.json()
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return search_results["results"]
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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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metaphor_api_key = get_from_dict_or_env(
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values, "metaphor_api_key", "METAPHOR_API_KEY"
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)
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values["metaphor_api_key"] = metaphor_api_key
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return values
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def results(
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self,
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query: str,
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num_results: int,
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include_domains: Optional[List[str]] = None,
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exclude_domains: Optional[List[str]] = None,
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start_crawl_date: Optional[str] = None,
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end_crawl_date: Optional[str] = None,
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start_published_date: Optional[str] = None,
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end_published_date: Optional[str] = None,
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use_autoprompt: Optional[bool] = None,
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) -> List[Dict]:
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"""Run query through Metaphor Search 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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include_domains: A list of domains to include in the search. Only one of include_domains and exclude_domains should be defined.
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exclude_domains: A list of domains to exclude from the search. Only one of include_domains and exclude_domains should be defined.
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start_crawl_date: If specified, only pages we crawled after start_crawl_date will be returned.
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end_crawl_date: If specified, only pages we crawled before end_crawl_date will be returned.
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start_published_date: If specified, only pages published after start_published_date will be returned.
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end_published_date: If specified, only pages published before end_published_date will be returned.
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use_autoprompt: If true, we turn your query into a more Metaphor-friendly query. Adds latency.
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Returns:
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A list of dictionaries with the following keys:
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title - The title of the page
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url - The url
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author - Author of the content, if applicable. Otherwise, None.
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published_date - Estimated date published
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in YYYY-MM-DD format. Otherwise, None.
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""" # noqa: E501
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raw_search_results = self._metaphor_search_results(
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query,
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num_results=num_results,
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include_domains=include_domains,
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exclude_domains=exclude_domains,
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start_crawl_date=start_crawl_date,
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end_crawl_date=end_crawl_date,
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start_published_date=start_published_date,
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end_published_date=end_published_date,
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use_autoprompt=use_autoprompt,
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)
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return self._clean_results(raw_search_results)
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async def results_async(
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self,
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query: str,
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num_results: int,
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include_domains: Optional[List[str]] = None,
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exclude_domains: Optional[List[str]] = None,
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start_crawl_date: Optional[str] = None,
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end_crawl_date: Optional[str] = None,
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start_published_date: Optional[str] = None,
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end_published_date: Optional[str] = None,
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use_autoprompt: Optional[bool] = None,
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) -> List[Dict]:
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"""Get results from the Metaphor Search API asynchronously."""
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# Function to perform the API call
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async def fetch() -> str:
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headers = {"X-Api-Key": self.metaphor_api_key}
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params = {
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"numResults": num_results,
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"query": query,
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"includeDomains": include_domains,
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"excludeDomains": exclude_domains,
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"startCrawlDate": start_crawl_date,
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"endCrawlDate": end_crawl_date,
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"startPublishedDate": start_published_date,
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"endPublishedDate": end_published_date,
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"useAutoprompt": use_autoprompt,
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}
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async with aiohttp.ClientSession() as session:
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async with session.post(
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f"{METAPHOR_API_URL}/search", json=params, headers=headers
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) as res:
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if res.status == 200:
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data = await res.text()
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return data
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else:
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raise Exception(f"Error {res.status}: {res.reason}")
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results_json_str = await fetch()
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results_json = json.loads(results_json_str)
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return self._clean_results(results_json["results"])
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def _clean_results(self, raw_search_results: List[Dict]) -> List[Dict]:
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cleaned_results = []
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for result in raw_search_results:
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cleaned_results.append(
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{
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"title": result.get("title", "Unknown Title"),
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"url": result.get("url", "Unknown URL"),
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"author": result.get("author", "Unknown Author"),
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"published_date": result.get("publishedDate", "Unknown Date"),
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}
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)
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return cleaned_results
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