js:dZddlmZddlmZmZmZddlmZddl m Z ddl m Z ddl mZddlmZdd lmZdd lmZdd lmZdd lmZdd lmZmZmZGddeZej<dddde de dedee dedef dZ!ej<ej<dddddddddd de de de deded ee d!ee d"ee dee d#e"d$ed%ee"dedefd&Z#ej<ejHdd'ddd(de d)e d*e ded+ed,ee dee dedefd-Z% d0de d.edee dedef d/Z&y)1zLoad summarizing chains.)Mapping)AnyOptionalProtocol) Callbacks)BaseLanguageModel)BasePromptTemplate)BaseCombineDocumentsChain)MapReduceDocumentsChain)ReduceDocumentsChain)RefineDocumentsChain)StuffDocumentsChain)LLMChain)map_reduce_promptrefine_prompts stuff_promptc$eZdZdZdededefdZy)LoadingCallablez2Interface for loading the combine documents chain.llmkwargsreturnc y)z-Callable to load the combine documents chain.N)selfrrs j/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain/chains/summarize/chain.py__call__zLoadingCallable.__call__sN)__name__ __module__ __qualname____doc__rrr rrrrrrs&<< << #  S/ !$+ ,!&#  $B 2 7!/1  # 5@     rexisting_answer)question_prompt refine_promptr$initial_response_name refine_llmr%rArBrCrDc ht|||}|xs|} t| ||} td|| |||d|S)Nr')initial_llm_chainrefine_llm_chainr$rCr%r)rr ) rrArBr$rCrDr%r initial_chain _refine_llm refine_chains r_load_refine_chainrKysU_gNM#K M7SL  '%53     r chain_typec tttd}||vr!d|d|j}t ||||fd|i|S)aLoad summarizing chain. Args: llm: Language Model to use in the chain. chain_type: Type of document combining chain to use. Should be one of "stuff", "map_reduce", and "refine". verbose: Whether chains should be run in verbose mode or not. Note that this applies to all chains that make up the final chain. Returns: A chain to use for summarizing. )stuff map_reducerefinezGot unsupported chain type: z. Should be one of r%)r)r?rKkeysr8)rrLr%rloader_mappingr=s rload_summarize_chainrSsk&#,$5N '*:,7 . 3 3 56 8 o %>* %c E7 Ef EEr)rNN)'r!collections.abcrtypingrrrlangchain_core.callbacksrlangchain_core.language_modelsrlangchain_core.promptsr 'langchain.chains.combine_documents.baser -langchain.chains.combine_documents.map_reducer )langchain.chains.combine_documents.reducer )langchain.chains.combine_documents.refiner (langchain.chains.combine_documents.stuffrlangchain.chains.llmrlangchain.chains.summarizerrrrPROMPTstrboolr)intr? REFINE_PROMPTrKrSrrrresF#**.<5MQJJH)VV