jdZddlZddlZddlmZmZmZmZmZm Z ddl Z ddl m Z ddl mZddlmZGddZGd d eZy) ah Pathway Vector Store client. The Pathway Vector Server is a pipeline written in the Pathway framweork which indexes all files in a given folder, embeds them, and builds a vector index. The pipeline reacts to changes in source files, automatically updating appropriate index entries. The PathwayVectorClient implements the LangChain VectorStore interface and queries the PathwayVectorServer to retrieve up-to-date documents. You can use the client with managed instances of Pathway Vector Store, or run your own instance as described at https://pathway.com/developers/user-guide/llm-xpack/vectorstore_pipeline/ N)AnyCallableIterableListOptionalTuple)Document) Embeddings) VectorStorec eZdZ ddeedeedeefdZ ddededeed eefd Z e Z d efd Z ddeed eed e fd Z y)_VectorStoreClientNhostporturlczd}||s|r t|||_y| t||xsd}d|d||_y)av A client you can use to query :py:class:`VectorStoreServer`. Please provide aither the `url`, or `host` and `port`. Args: - host: host on which `:py:class:`VectorStoreServer` listens - port: port on which `:py:class:`VectorStoreServer` listens - url: url at which `:py:class:`VectorStoreServer` listens zCEither (`host` and `port`) or `url` must be provided, but not both.NPzhttp://:) ValueErrorr)selfrrrerrs r/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain_community/vectorstores/pathway.py__init__z_VectorStoreClient.__init__sQ T ?t o%DH| o%:2D av.DHquerykmetadata_filterreturnc||d}|||d<|jdz}tj|tj|ddid}|j}t |d S) av Perform a query to the vector store and fetch results. Args: - query: - k: number of documents to be returned - metadata_filter: optional string representing the metadata filtering query in the JMESPath format. The search will happen only for documents satisfying this filtering. )rrrz /v1/retrieve Content-Typeapplication/json)dataheaderstimeoutc |dS)Ndist)xs rz*_VectorStoreClient.query..Rsqyr)key)rrequestspostjsondumpssorted)rrrrr"rresponse responsess rrz_VectorStoreClient.query9sqQ'  &&5D" #hh'== D!#%78   MMO i%899rcx|jdz}tj|iddi}|j}|S)z.Fetch basic statistics about the vector store.z/v1/statisticsrr r-r#rr+r,r-)rrr0r1s rget_vectorstore_statisticsz-_VectorStoreClient.get_vectorstore_statisticsWsChh))== #%78  MMO rfilepath_globpatternc~|jdz}tj|||dddi}|j}|S)a Fetch information on documents in the vector store. Args: metadata_filter: optional string representing the metadata filtering query in the JMESPath format. The search will happen only for documents satisfying this filtering. filepath_globpattern: optional glob pattern specifying which documents will be searched for this query. z /v1/inputs)rr6rr r3r4)rrr6rr0r1s rget_input_filesz"_VectorStoreClient.get_input_filescsLhh%== #2(<$%78  MMO rNNN)r!NNN)__name__ __module__ __qualname__rstrintrrdictr__call__r5listr8r'rrr r s#"! /sm/sm/c] /8HL:: :7?}: d:8H D *..2!#'sm  rr c ReZdZdZ ddeedeedeeddfdZ ddeed ee e d e de efd Z e dde ed ed ee e d e ddf d Z ddeded e de efdZ ddededeede eeeffdZdeegeffdZde fdZ ddeedeedefdZy)PathwayVectorClientz9 VectorStore connecting to Pathway Vector Store. Nrrrrc(t||||_y)aO A client you can use to query Pathway Vector Store. Please provide aither the `url`, or `host` and `port`. Args: - host: host on which Pathway Vector Store listens - port: port on which Pathway Vector Store listens - url: url at which Pathway Vector Store listens N)r client)rrrrs rrzPathwayVectorClient.__init__s )tS9 rtexts metadataskwargsc td)z(Pathway is not suitable for this method.zKPathway vector store does not support adding or removing texts from client.NotImplementedError)rrGrHrIs r add_textszPathwayVectorClient.add_textss"   r embeddingc td)Nz>Pathway vector store does not support initializing from_texts.rK)clsrGrNrHrIs r from_textszPathwayVectorClient.from_textss" L  rrrc |jdd}|rtjd||j|||}|Dcgc]}t |d|dc}Scc}w)NrzBUnknown kwargs passed to PathwayVectorClient.similarity_search: %srrrtextmetadata page_contentrU)poploggingwarningrFr )rrrrIrretsrets rsimilarity_searchz%PathwayVectorClient.similarity_searchsu!**%6=  OOT {{!_{MUY TXSH#f+J HTX   sA rc|j|||}|Dcgc]}t|d|d|dfc}Scc}w)a(Run similarity search with Pathway with distance. Args: - query (str): Query text to search for. - k (int): Number of results to return. Defaults to 4. - metadata_filter (Optional[str]): Filter by metadata. Filtering query should be in JMESPath format. Defaults to None. Returns: List[Tuple[Document, float]]: List of documents most similar to the query text and cosine distance in float for each. Lower score represents more similarity. rSrTrUrVr&)rFr )rrrrr[r\s rsimilarity_search_with_scorez0PathwayVectorClient.similarity_search_with_scoresW&{{!_{M 3v;Z I3v; W   s;c|jSN)_cosine_relevance_score_fnrs r_select_relevance_score_fnz.PathwayVectorClient._select_relevance_score_fns...rc6|jjS)z.Fetch basic statistics about the Vector Store.)rFr5rcs rr5z.PathwayVectorClient.get_vectorstore_statisticss{{5577rr6c:|jj||S)z'List files indexed by the Vector Store.)rFr8)rrr6s rr8z#PathwayVectorClient.get_input_filess {{**?r?rrrr@rrM classmethodr rQr r]rfloatr_rrdr5rBr8r'rrrDrDs #"! :sm:sm:c] :  :*+/  }  DJ'    c   +/  Cy    DJ'        $%       03  h  $)-     "#  eHeO$ %  4/HeWe^,D/8D8 *..2R!#R'smR  RrrD)rhr-rYtypingrrrrrrr+langchain_core.documentsr langchain_core.embeddingsr langchain_core.vectorstoresr r rDr'rrrosA  AA-03 __DeR+eRr