昺h`ddlZddlmZmZmZddlmZddlm Z m Z m Z Gdde eZ dS)N)AnyDictList) Embeddings) BaseModelExtraroot_validatorc eZdZUdZeed<GddZeddedefd Z d e e de e e fd Z d e de e fd Zd e e de e e fdZd e de e fdZdS)SpacyEmbeddingsaEmbeddings by SpaCy models. It only supports the 'en_core_web_sm' model. Attributes: nlp (Any): The Spacy model loaded into memory. Methods: embed_documents(texts: List[str]) -> List[List[float]]: Generates embeddings for a list of documents. embed_query(text: str) -> List[float]: Generates an embedding for a single piece of text. nlpc eZdZdZejZdS)SpacyEmbeddings.Configz'Configuration for this pydantic object.N)__name__ __module__ __qualname____doc__rforbidextraw/var/www/html/services/rag-service/venv/lib/python3.11/site-packages/langchain_community/embeddings/spacy_embeddings.pyConfigrs55 rrT)prevaluesreturnctjdtd ddl}|d|d<n#t $rtdwxYw|S)ag Validates that the Spacy package and the 'en_core_web_sm' model are installed. Args: values (Dict): The values provided to the class constructor. Returns: The validated values. Raises: ValueError: If the Spacy package or the 'en_core_web_sm' model are not installed. spacyNzDSpacy package not found. Please install it with `pip install spacy`.ren_core_web_smr ziSpacy model 'en_core_web_sm' not found. Please install it with `python -m spacy download en_core_web_sm`.) importlibutil find_spec ValueErrorrloadOSError)clsrrs rvalidate_environmentz$SpacyEmbeddings.validate_environments > # #G , , 4>   LLL!JJ'788F5MM   >   s A A'textsc fd|DS)z Generates embeddings for a list of documents. Args: texts (List[str]): The documents to generate embeddings for. Returns: A list of embeddings, one for each document. chg|].}|j/Srr vectortolist).0textselfs r z3SpacyEmbeddings.embed_documents..Ks2AAA4%,,..AAArrr/r's` rembed_documentszSpacyEmbeddings.embed_documentsAs BAAA5AAAArr.cZ||jS)z Generates an embedding for a single piece of text. Args: text (str): The text to generate an embedding for. Returns: The embedding for the text. r*r/r.s r embed_queryzSpacyEmbeddings.embed_queryMs#xx~~$++---rc$Ktd)aA Asynchronously generates embeddings for a list of documents. This method is not implemented and raises a NotImplementedError. Args: texts (List[str]): The documents to generate embeddings for. Raises: NotImplementedError: This method is not implemented. 3Asynchronous embedding generation is not supported.NotImplementedErrorr1s raembed_documentsz SpacyEmbeddings.aembed_documentsY""WXXXrc$Ktd)a< Asynchronously generates an embedding for a single piece of text. This method is not implemented and raises a NotImplementedError. Args: text (str): The text to generate an embedding for. Raises: NotImplementedError: This method is not implemented. r7r8r4s r aembed_queryzSpacyEmbeddings.aembed_queryfr;rN)rrrrr__annotations__rr rr&rstrfloatr2r5r:r=rrrr r sN   HHH ^ $ 4    D BT#Y B4U 3D B B B B . .U . . . . YDI Y$tE{:K Y Y Y Y Ys YtE{ Y Y Y Y Y Yrr ) importlib.utilrtypingrrrlangchain_core.embeddingsrlangchain_core.pydantic_v1rrr r rrrrEs""""""""""000000GGGGGGGGGGiYiYiYiYiYiiYiYiYiYiYr