o
    粪g
                     @   s   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 eZdZeeZG dd deZdS )    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                
   @   sx   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dZd	ed
edee fddZd	ed
edee fddZdS )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                 C   s   ||B t  B }| ||d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    r   [/var/www/html/chatdoc2/venv/lib/python3.10/site-packages/langchain/retrievers/re_phraser.pyfrom_llm#   s
   zRePhraseQueryRetriever.from_llmqueryrun_managerc                C   sB   | j |d| i}td|  | jj|d| id}|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docsr   r   r   _get_relevant_documents<   s   z.RePhraseQueryRetriever._get_relevant_documentsc                   s   t )N)NotImplementedError)r   r   r   r   r   r   _aget_relevant_documentsS   s   z/RePhraseQueryRetriever._aget_relevant_documentsN)__name__
__module____qualname____doc__r   __annotations__r   classmethodDEFAULT_QUERY_PROMPTr   r	   r   strr   r   r   r"   r   r$   r   r   r   r   r      s:   
 
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_templater+   r   r   r   r   r   <module>   s    

