ghddlmZddlmZddlmZmZddlmZm Z ddl m Z ddl m Z mZddlmZddlmZmZdd lmZdd lmZGd d eZGd deZdedefdZeddddedefdZdS))Iterator) deprecated) BaseChatModelBaseLanguageModel) HumanMessage SystemMessage)PydanticOutputFunctionsParser)ChatPromptTemplateHumanMessagePromptTemplate)Runnable) BaseModelField)LLMChain)get_llm_kwargsc eZdZUdZeddZeed<eddZe eed<dd ed ed e d e efd Z d ed e efdZ dS)FactWithEvidencezClass representing a single statement. Each fact has a body and a list of sources. If there are multiple facts make sure to break them apart such that each one only uses a set of sources that are relevant to it. .z+Body of the sentence, as part of a response descriptionfactz]Each source should be a direct quote from the context, as a substring of the original contentsubstring_quotedquotecontexterrsreturnc#Kddl}|}|}d}|d|d|d|}|0||kr*|dz }|d|d|d|}|||k*||Ed{VdSdS)Nr(z){e<=})regexsearchspans) selfrrrr minormajorerrs_ss s/var/www/FlaskApp/flask-venv/lib/python3.11/site-packages/langchain/chains/openai_functions/citation_fuzzy_match.py _get_spanzFactWithEvidence._get_span s  LL3U33%333U ; ;iETMM QJE 777e777??AiETMM =wwyy  =c#VK|jD]}|||Ed{VdS)N)rr))r#rrs r( get_spanszFactWithEvidence.get_spans/sK) 6 6E~~eW55 5 5 5 5 5 5 5 5 6 6r*N)r)__name__ __module__ __qualname____doc__rrstr__annotations__rlistintrr)r,r*r(rrsc'TUUUD#UUU!&  5"""OT#Y ! !s !S ! !hsm ! ! ! !66#666666r*rcheZdZUdZeddZeed<eddZe e ed<dS) QuestionAnswerzA question and its answer as a list of facts each one should have a source. each sentence contains a body and a list of sources..zQuestion that was askedrquestionz]Body of the answer, each fact should be its separate object with a body and a list of sourcesanswerN) r-r.r/r0rr8r1r2r9r3rr5r*r(r7r74sx<<E#+DEEEHcEEE%*U  D&&&FD! "r*r7llmrc|jtjurtdtt dt jdg}||tzS)aCreate a citation fuzzy match Runnable. Example usage: .. code-block:: python from langchain.chains import create_citation_fuzzy_match_runnable from langchain_openai import ChatOpenAI llm = ChatOpenAI(model="gpt-4o-mini") context = "Alice has blue eyes. Bob has brown eyes. Charlie has green eyes." question = "What color are Bob's eyes?" chain = create_citation_fuzzy_match_runnable(llm) chain.invoke({"question": question, "context": context}) Args: llm: Language model to use for the chain. Must implement bind_tools. Returns: Runnable that can be used to answer questions with citations. z>Language model must implement bind_tools to use this function.UYou are a world class algorithm to answer questions with correct and exact citations.zAnswer question using the following context. {context} Question: {question} Tips: Make sure to cite your sources, and use the exact words from the context.) bind_toolsr ValueErrorr rr from_templatewith_structured_outputr7)r:prompts r($create_citation_fuzzy_match_runnablerBBs0 ~111 L    >   ' 4<   F C..~>> >>r*z0.2.13z1.0rB)sinceremoval alternativectt}t}|d|d|d}t|}t dt dt jdt jd t d g}t| }t|||| }|S) zCreate a citation fuzzy match chain. Args: llm: Language model to use for the chain. Returns: Chain (LLMChain) that can be used to answer questions with citations. )pydantic_schematitler)namer parametersr<)contentz+Answer question using the following contextz {context}zQuestion: {question}zOTips: Make sure to cite your sources, and use the exact words from the context.)messages)r:rA llm_kwargs output_parser) r r7schemarrrr r?r r)r:rNrOfunctionrMrLrAchains r(!create_citation_fuzzy_match_chainrRps2.QQQM  " " $ $Fwm,H  ))J>   JKKK"0=="01GHH<   H"  2 2 2F  #    E Lr*N)collections.abcrlangchain_core._apirlangchain_core.language_modelsrrlangchain_core.messagesrr.langchain_core.output_parsers.openai_functionsr langchain_core.prompts.chatr r langchain_core.runnablesr pydanticr rlangchain.chains.llmr'langchain.chains.openai_functions.utilsrrr7rBrRr5r*r(r]s$$$$$$******KKKKKKKK????????XXXXXXVVVVVVVV------%%%%%%%%))))))BBBBBB"6"6"6"6"6y"6"6"6J     Y   +?m+?+?+?+?+?\   6 *+<****  ***r*