
    9|h
                         d dl Z d dlmZ d dlmZmZ d dlmZ d dlm	Z	 d dl
mZ d dlmZ d dlmZ d d	lmZ d d
lmZ  e j(                  e      ZdZ ej0                  e      Z G d de      Zy)    N)List)#AsyncCallbackManagerForRetrieverRunCallbackManagerForRetrieverRun)Document)BaseLLMStrOutputParser)BasePromptTemplate)PromptTemplate)BaseRetriever)RunnablezYou are an assistant tasked with taking a natural language query from a user and converting it into a query for a vectorstore. In this process, you strip out information that is not relevant for the retrieval task. Here is the user query: {question}c            
           e Zd ZU dZeed<   eed<   eefdede	de
dd fd       Zded	edee   fd
Zded	edee   fdZy)RePhraseQueryRetrieverz\Given a query, use an LLM to re-phrase it.
    Then, retrieve docs for the re-phrased query.	retriever	llm_chainllmpromptreturnc                 6    ||z  t               z  } | ||      S )ap  Initialize from llm using default template.

        The prompt used here expects a single input: `question`

        Args:
            retriever: retriever to query documents from
            llm: llm for query generation using DEFAULT_QUERY_PROMPT
            prompt: prompt template for query generation

        Returns:
            RePhraseQueryRetriever
        )r   r   r   )clsr   r   r   r   s        ^/var/www/html/test/engine/venv/lib/python3.12/site-packages/langchain/retrievers/re_phraser.pyfrom_llmzRePhraseQueryRetriever.from_llm#   s(    & SL?#44	
 	
    queryrun_managerc                    | j                   j                  |d|j                         i      }t        j	                  d|        | j
                  j                  |d|j                         i      }|S )zGet relevant documents given a user question.

        Args:
            query: user question

        Returns:
            Relevant documents for re-phrased question
        	callbackszRe-phrased question: )config)r   invoke	get_childloggerinfor   )selfr   r   re_phrased_questiondocss        r   _get_relevant_documentsz.RePhraseQueryRetriever._get_relevant_documents<   sw     #nn33K!6!6!89
 	+,?+@AB~~$$k6K6K6M(N % 
 r   c                   K   t         w)N)NotImplementedError)r#   r   r   s      r   _aget_relevant_documentsz/RePhraseQueryRetriever._aget_relevant_documentsS   s      "!s   	N)__name__
__module____qualname____doc__r   __annotations__r   classmethodDEFAULT_QUERY_PROMPTr   r
   r   strr   r   r   r&   r   r)    r   r   r   r      s    5 
 &:	
 
 
 #	

 
"
 
0 4	
 
h."" 9	"
 
h"r   r   )loggingtypingr   langchain_core.callbacksr   r   langchain_core.documentsr   langchain_core.language_modelsr   langchain_core.output_parsersr	   langchain_core.promptsr
   langchain_core.prompts.promptr   langchain_core.retrieversr   langchain_core.runnablesr   	getLoggerr*   r!   DEFAULT_TEMPLATEfrom_templater0   r   r2   r   r   <module>r@      sc      . 2 9 5 8 3 -			8	$:  4~334DE ="] ="r   