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Upgrade to using a literal for specifying the extra which is the recommended approach in pydantic 2. This works correctly also in pydantic v1. ```python from pydantic.v1 import BaseModel class Foo(BaseModel, extra="forbid"): x: int Foo(x=5, y=1) ``` And ```python from pydantic.v1 import BaseModel class Foo(BaseModel): x: int class Config: extra = "forbid" Foo(x=5, y=1) ``` ## Enum -> literal using grit pattern: ``` engine marzano(0.1) language python or { `extra=Extra.allow` => `extra="allow"`, `extra=Extra.forbid` => `extra="forbid"`, `extra=Extra.ignore` => `extra="ignore"` } ``` Resorted attributes in config and removed doc-string in case we will need to deal with going back and forth between pydantic v1 and v2 during the 0.3 release. (This will reduce merge conflicts.) ## Sort attributes in Config: ``` engine marzano(0.1) language python function sort($values) js { return $values.text.split(',').sort().join("\n"); } class_definition($name, $body) as $C where { $name <: `Config`, $body <: block($statements), $values = [], $statements <: some bubble($values) assignment() as $A where { $values += $A }, $body => sort($values), } ```
84 lines
2.4 KiB
Python
84 lines
2.4 KiB
Python
"""Tool for the SearxNG search API."""
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from typing import Optional, Type
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from langchain_core.callbacks import (
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AsyncCallbackManagerForToolRun,
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CallbackManagerForToolRun,
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)
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from langchain_core.pydantic_v1 import BaseModel, Field
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from langchain_core.tools import BaseTool
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from langchain_community.utilities.searx_search import SearxSearchWrapper
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class SearxSearchQueryInput(BaseModel):
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"""Input for the SearxSearch tool."""
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query: str = Field(description="query to look up on searx")
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class SearxSearchRun(BaseTool):
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"""Tool that queries a Searx instance."""
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name: str = "searx_search"
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description: str = (
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"A meta search engine."
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"Useful for when you need to answer questions about current events."
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"Input should be a search query."
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)
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wrapper: SearxSearchWrapper
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kwargs: dict = Field(default_factory=dict)
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args_schema: Type[BaseModel] = SearxSearchQueryInput
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def _run(
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self,
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query: str,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> str:
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"""Use the tool."""
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return self.wrapper.run(query, **self.kwargs)
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async def _arun(
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self,
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query: str,
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run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
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) -> str:
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"""Use the tool asynchronously."""
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return await self.wrapper.arun(query, **self.kwargs)
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class SearxSearchResults(BaseTool):
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"""Tool that queries a Searx instance and gets back json."""
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name: str = "searx_search_results"
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description: str = (
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"A meta search engine."
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"Useful for when you need to answer questions about current events."
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"Input should be a search query. Output is a JSON array of the query results"
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)
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wrapper: SearxSearchWrapper
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num_results: int = 4
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kwargs: dict = Field(default_factory=dict)
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class Config:
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extra = "allow"
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def _run(
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self,
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query: str,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> str:
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"""Use the tool."""
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return str(self.wrapper.results(query, self.num_results, **self.kwargs))
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async def _arun(
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self,
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query: str,
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run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
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) -> str:
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"""Use the tool asynchronously."""
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return (
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await self.wrapper.aresults(query, self.num_results, **self.kwargs)
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).__str__()
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