7|h.\ddlZddlmZmZmZmZddlmZddl m Z m Z m Z Gdde eZ y)N)AnyDictListOptional) Embeddings) BaseModel ConfigDictmodel_validatorceZdZUdZdZeed<dZee ed<e ddZ e d e d ed e fd Zdeed eeefdZded eefdZdeed eeefdZded eefdZy)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_nameNnlpforbid)extraprotected_namespacesbefore)modevaluesreturnc|jdd|d<|jd}tjjd t d ddl}|j ||d<|S#t$rt d|d |d wxYw) aE Validates that the spaCy package and the model are installed. Args: values (Dict): The values provided to the class constructor. Returns: The validated values. Raises: ValueError: If the spaCy package or the model are not installed. rNr spacyzDSpaCy package not found. Please install it with `pip install spacy`.rrz SpaCy model 'z>' not found. Please install it with `python -m spacy download z%`or provide a valid spaCy model name.)get importlibutil find_spec ValueErrorrloadOSError)clsrrrs n/var/www/html/test/engine/venv/lib/python3.12/site-packages/langchain_community/embeddings/spacy_embeddings.pyvalidate_environmentz$SpacyEmbeddings.validate_environments ::l # +#3F< ZZ -  >> # #G , 4V   !JJz2F5M   |,..8\:77  s A--B textscz|Dcgc]+}|j|jj-c}Scc}w)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. rvectortolist)selfr$texts r"embed_documentszSpacyEmbeddings.embed_documentsDs0rFs),,0;;lYilYr/