a bgA@sVddlZddlmZmZmZmZddlmZddl m Z m Z m Z Gddde eZ dS)N)AnyDictListOptional) Embeddings) BaseModel ConfigDictmodel_validatorc@seZdZUdZdZeed<dZee ed<e dddZ e d d e ee d d d ZeeeeedddZeeedddZeeeeedddZeeedddZdS)SpacyEmbeddingsaEmbeddings by spaCy models. Attributes: model_name (str): Name of a spaCy model. 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. en_core_web_sm model_nameNnlpZforbid)extraZprotected_namespacesbefore)mode)valuesreturnc Cs|ddurd|d<|d}tjddur8tdzddl}|||d<Wn(tyztd|d |d Yn0|S) aE Validates that the spaCy package and the 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 model are not installed. r Nr spacyzDSpaCy package not found. Please install it with `pip install spacy`.rr z SpaCy model 'z>' not found. Please install it with `python -m spacy download z%`or provide a valid spaCy model name.)get importlibutil find_spec ValueErrorrloadOSError)clsrr rrr}/var/www/html/cobodadashboardai.evdpl.com/venv/lib/python3.9/site-packages/langchain_community/embeddings/spacy_embeddings.pyvalidate_environments"   z$SpacyEmbeddings.validate_environment)textsrcsfdd|DS)z Generates embeddings for a list of documents. Args: texts (List[str]): The documents to generate embeddings for. Returns: A list of embeddings, one for each document. csg|]}|jqSrr Zvectortolist).0textselfrr Oz3SpacyEmbeddings.embed_documents..rr%rrr$rembed_documentsEs zSpacyEmbeddings.embed_documents)r#rcCs||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#rrr embed_queryQs zSpacyEmbeddings.embed_querycs tddS)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.NNotImplementedErrorr(rrraembed_documents]s z SpacyEmbeddings.aembed_documentscs tddS)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. r,Nr-r*rrr aembed_queryjs zSpacyEmbeddings.aembed_query)__name__ __module__ __qualname____doc__r str__annotations__r rrrZ model_configr classmethodrrrfloatr)r+r/r0rrrrr s   (   r )importlib.utilrtypingrrrrZlangchain_core.embeddingsrZpydanticrrr r rrrrs