j8ddlZddlmZddlmZmZmZddlmZddl m Z dddd d d d dd Z de fdZ de dee e ffdZddde dee dee e ffdZej"ee de ddfdZddde dee dedeee eeefffdZddgZy)N)util)AnyOptionalUnion) Embeddings)Runnablelangchain_openai langchain_awslangchain_coherelangchain_google_vertexailangchain_huggingfacelangchain_mistralailangchain_ollama) azure_openaibedrockcoheregoogle_vertexai huggingface mistralaiollamaopenaireturncVdjdtjDS)z3Get formatted list of providers and their packages. c3RK|]\}}d|d|jdd!yw)z - z: _-N)replace).0ppkgs c/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain/embeddings/base.py z%_get_provider_list..s2:V3$qcCKKS)*+:Vs%')join_SUPPORTED_PROVIDERSitemsr"_get_provider_listr)s) 99:N:T:T:V r( model_namec.d|vrt}d|d|}t||jdd\}}|jj }|j }|tvrd|dt }t||s d}t|||fS)aParse a model string into provider and model name components. The model string should be in the format 'provider:model-name', where provider is one of the supported providers. Args: model_name: A model string in the format 'provider:model-name' Returns: A tuple of (provider, model_name) .. code-block:: python _parse_model_string("openai:text-embedding-3-small") # Returns: ("openai", "text-embedding-3-small") _parse_model_string("bedrock:amazon.titan-embed-text-v1") # Returns: ("bedrock", "amazon.titan-embed-text-v1") Raises: ValueError: If the model string is not in the correct format or the provider is unsupported :zInvalid model format 'z'. Model name must be in format 'provider:model-name' Example valid model strings: - openai:text-embedding-3-small - bedrock:amazon.titan-embed-text-v1 - cohere:embed-english-v3.0 Supported providers:  Provider 'E' is not supported. Supported providers and their required packages: Model name cannot be empty)r% ValueErrorsplitlowerstripr))r* providersmsgprovidermodels r"_parse_model_stringr9s0 *( $ZL1$ %.;  0 o &&sA.OHe~~%%'H KKME++ #A!#$ & o *o U?r(r7r8r7c|js d}t||d|vrt|\}}n|}|st}d|}t||tvrd|dt }t|||fS)Nr0r,zMust specify either: 1. A model string in format 'provider:model-name' Example: 'openai:text-embedding-3-small' 2. Or explicitly set provider from: r.r/)r4r1r9r%r))r8r7r6r*r5s r"_infer_model_and_providerr<Qs ;;=*oC5L259* (  3k   o++ #A!#$ & o Z r()maxsizer!cVtj|sd|d|d}t|y)z Check if a package is installed.zCould not import z5 python package. Please install it with `pip install `N)r find_spec ImportError)r!r6s r" _check_pkgrBss? >># u%336%q : # r(kwargsc :|s3tj}ddj|}t|t ||\}}t|}t ||dk(rddlm}|dd|i|S|dk(rdd lm}|dd|i|S|d k(rdd l m } | dd|i|S|d k(rdd l m } | dd|i|S|dk(rddl m} | dd|i|S|dk(rddlm} | dd|i|S|dk(rddlm} | dd|i|S|dk(rddlm}|dd|i|Sd|dt+}t|)aInitialize an embeddings model from a model name and optional provider. **Note:** Must have the integration package corresponding to the model provider installed. Args: model: Name of the model to use. Can be either: - A model string like "openai:text-embedding-3-small" - Just the model name if provider is specified provider: Optional explicit provider name. If not specified, will attempt to parse from the model string. Supported providers and their required packages: {_get_provider_list()} **kwargs: Additional model-specific parameters passed to the embedding model. These vary by provider, see the provider-specific documentation for details. Returns: An Embeddings instance that can generate embeddings for text. Raises: ValueError: If the model provider is not supported or cannot be determined ImportError: If the required provider package is not installed .. dropdown:: Example Usage :open: .. code-block:: python # Using a model string model = init_embeddings("openai:text-embedding-3-small") model.embed_query("Hello, world!") # Using explicit provider model = init_embeddings( model="text-embedding-3-small", provider="openai" ) model.embed_documents(["Hello, world!", "Goodbye, world!"]) # With additional parameters model = init_embeddings( "openai:text-embedding-3-small", api_key="sk-..." ) .. versionadded:: 0.3.9 z2Must specify model name. Supported providers are: z, r:rr)OpenAIEmbeddingsr8r)AzureOpenAIEmbeddingsr)VertexAIEmbeddingsr)BedrockEmbeddingsmodel_idr)CohereEmbeddingsr)MistralAIEmbeddingsr)HuggingFaceEmbeddingsr*r)OllamaEmbeddingsr.r/r')r%keysr$r1r<rBr rErFr rGr rHr rJrrKr rLrrMr))r8r7rCr5r6r*r!rErFrGrHrJrKrLrMs r"init_embeddingsrO~syn (--/ @9AU@V W o4UXNHj x (CsO85;j;F;;>!:$@:@@@$$@!= =f==93 ?*???85;j;F;;;;">>v>>= ?$E EfEE85;j;F;; XJ=    " S/r(rrO) functools importlibrtypingrrrlangchain_core.embeddingsrlangchain_core.runnablesrr%strr)tupler9r< lru_cachelenrBlistfloatrO__all__r'r(r"r\s*''0-' 2*&   C3C3E#s(O3r#  sm  38_  DS!567CD8#g gsmg g  :xT%[ 01 12 gV r(