Source code for langchain_community.tools.searx_search.tool
"""SearxNG搜索API的工具。"""
from typing import Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_core.pydantic_v1 import Extra, Field
from langchain_core.tools import BaseTool
from langchain_community.utilities.searx_search import SearxSearchWrapper
[docs]class SearxSearchRun(BaseTool):
"""工具,用于查询Searx实例。"""
name: str = "searx_search"
description: str = (
"A meta search engine."
"Useful for when you need to answer questions about current events."
"Input should be a search query."
)
wrapper: SearxSearchWrapper
kwargs: dict = Field(default_factory=dict)
def _run(
self,
query: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""使用这个工具。"""
return self.wrapper.run(query, **self.kwargs)
async def _arun(
self,
query: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
"""使用该工具进行异步操作。"""
return await self.wrapper.arun(query, **self.kwargs)
[docs]class SearxSearchResults(BaseTool):
"""工具用于查询一个 Searx 实例,并返回 JSON。"""
name: str = "searx_search_results"
description: str = (
"A meta search engine."
"Useful for when you need to answer questions about current events."
"Input should be a search query. Output is a JSON array of the query results"
)
wrapper: SearxSearchWrapper
num_results: int = 4
kwargs: dict = Field(default_factory=dict)
class Config:
"""Pydantic配置。"""
extra = Extra.allow
def _run(
self,
query: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""使用这个工具。"""
return str(self.wrapper.results(query, self.num_results, **self.kwargs))
async def _arun(
self,
query: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
"""使用该工具进行异步操作。"""
return (
await self.wrapper.aresults(query, self.num_results, **self.kwargs)
).__str__()