langchain/libs/community/langchain_community/tools/asknews/tool.py
Erick Friis 600b7bdd61
all: test 3.13 ci (#27197)
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-10-25 12:56:58 -07:00

83 lines
2.5 KiB
Python

"""
Tool for the AskNews API.
To use this tool, you must first set your credentials as environment variables:
ASKNEWS_CLIENT_ID
ASKNEWS_CLIENT_SECRET
"""
from typing import Any, Optional, Type
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_core.tools import BaseTool
from pydantic import BaseModel, Field
from langchain_community.utilities.asknews import AskNewsAPIWrapper
class SearchInput(BaseModel):
"""Input for the AskNews Search tool."""
query: str = Field(
description="Search query to be used for finding real-time or historical news "
"information."
)
hours_back: Optional[int] = Field(
0,
description="If the Assistant deems that the event may have occurred more "
"than 48 hours ago, it estimates the number of hours back to search. For "
"example, if the event was one month ago, the Assistant may set this to 720. "
"One week would be 168. The Assistant can estimate up to on year back (8760).",
)
class AskNewsSearch(BaseTool): # type: ignore[override]
"""Tool that searches the AskNews API."""
name: str = "asknews_search"
description: str = (
"This tool allows you to perform a search on up-to-date news and historical "
"news. If you needs news from more than 48 hours ago, you can estimate the "
"number of hours back to search."
)
api_wrapper: AskNewsAPIWrapper = Field(default_factory=AskNewsAPIWrapper) # type: ignore[arg-type]
max_results: int = 10
args_schema: Optional[Type[BaseModel]] = SearchInput
def _run(
self,
query: str,
hours_back: int = 0,
run_manager: Optional[CallbackManagerForToolRun] = None,
**kwargs: Any,
) -> str:
"""Use the tool."""
try:
return self.api_wrapper.search_news(
query,
hours_back=hours_back,
max_results=self.max_results,
)
except Exception as e:
return repr(e)
async def _arun(
self,
query: str,
hours_back: int = 0,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
**kwargs: Any,
) -> str:
"""Use the tool asynchronously."""
try:
return await self.api_wrapper.asearch_news(
query,
hours_back=hours_back,
max_results=self.max_results,
)
except Exception as e:
return repr(e)