Zǻi ddlmZddlZddlmZmZddlmZddlm Z ddl m Z m Z  ddl mZGdd eZy#e$rdZYwxYw) ) annotationsN)AnyOptional)Embedder)EmbeddingsGenerationError)RateLimitHandlerrate_limit_handler)MistralcJeZdZdZ d dfd ZeddZxZS)MistralAIEmbeddingsz Mistral AI embeddings class. This class uses the Mistral AI Python client to generate vector embeddings for text data. Args: model (str): The name of the Mistral AI text embedding model to use. Defaults to "mistral-embed". c t tdt| ||j dd}|t j dd}||_tdd|i||_y)NzmCould not import mistralai. Please install it with `pip install "neo4j-graphrag[mistralai]"`.api_keyMISTRAL_API_KEY) r ImportErrorsuper__init__poposgetenvmodelmistral_client)selfrr kwargsr __class__s _/opt/lhia/marcimex/agent/venv/lib/python3.12/site-packages/neo4j_graphrag/embeddings/mistral.pyrzMistralAIEmbeddings.__init__(so ?U  +,**Y- ?ii 126G %@g@@c J |jjjd|j|gd|}| |j s t d|j dj}t|ts t d|S#t$r}t d||d}~wwxYw)a  Generate embeddings for a given query using a Mistral AI text embedding model. Args: text (str): The text to generate an embedding for. **kwargs (Any): Additional keyword arguments to pass to the Mistral AI client. )rinputsz-Failed to generate embedding with MistralAI: NzFailed to retrieve embeddings.rz"Embedding is not a list of floats.r) r embeddingscreater Exceptionrdata embedding isinstancelist)rtextrembeddings_batch_responseer%s r embed_queryzMistralAIEmbeddings.embed_query:s (M(;(;(F(F(M(M)jj$)39) % % ,4M4R4R+,LM M-2215?? )T*+,PQ Q +?sC  s4B B"BB")z mistral-embedN)rstrr zOptional[RateLimitHandler]rrreturnNone)r(r,rrr-z list[float])__name__ __module__ __qualname____doc__rr r+ __classcell__)rs@rr r sT%9=AA7A A  A$rr ) __future__rrtypingrrneo4j_graphrag.embeddings.baserneo4j_graphrag.exceptionsrneo4j_graphrag.utils.rate_limitrr mistralair rr rrrr:sC # 3?P! 5(5 Gs:AA