a
    bg                     @  s   d dl mZ d dlZd dlmZmZmZmZmZ d dl	Z	d dl
mZ d dlmZmZmZ d dlmZmZmZmZ d dlmZmZmZmZ eeZdd	d
dZdddddddZG dd deeZdS )    )annotationsN)AnyCallableDictListOptional)
Embeddings)convert_to_secret_strget_from_dict_or_envpre_init)	BaseModel
ConfigDictField	SecretStr)before_sleep_logretrystop_after_attemptwait_exponentialzCallable[[Any], Any])returnc                  C  s6   d} d}d}d}t dt|t| ||dtttjdS )z#Returns a tenacity retry decorator.         T)
multiplierminmax)reraisestopwaitbefore_sleep)r   r   r   r   loggerloggingWARNING)r   Zmin_secondsZmax_secondsmax_retries r#   t/var/www/html/cobodadashboardai.evdpl.com/venv/lib/python3.9/site-packages/langchain_community/embeddings/minimax.py_create_retry_decorator   s    
r%   MiniMaxEmbeddingsr   )
embeddingsargskwargsr   c                   s.   t  }|dddd fdd}||i |S )z*Use tenacity to retry the completion call.r   )r(   r)   r   c                    s    j | i |S )N)embed)r(   r)   r'   r#   r$   _embed_with_retry(   s    z+embed_with_retry.<locals>._embed_with_retry)r%   )r'   r(   r)   Zretry_decoratorr,   r#   r+   r$   embed_with_retry$   s    r-   c                   @  s   e Zd ZU dZdZded< dZded< dZded< d	Zded
< e	dddZ
ded< e	dddZded< edddZedddddZddddddZdddd d!Zdd"d#d$d%ZdS )&r&   u1  MiniMax embedding model integration.

    Setup:
        To use, you should have the environment variable ``MINIMAX_GROUP_ID`` and
        ``MINIMAX_API_KEY`` set with your API token.

        .. code-block:: bash

            export MINIMAX_API_KEY="your-api-key"
            export MINIMAX_GROUP_ID="your-group-id"

    Key init args — completion params:
        model: Optional[str]
            Name of ZhipuAI model to use.
        api_key: Optional[str]
            Automatically inferred from env var `MINIMAX_GROUP_ID` if not provided.
        group_id: Optional[str]
            Automatically inferred from env var `MINIMAX_GROUP_ID` if not provided.

    See full list of supported init args and their descriptions in the params section.

    Instantiate:

        .. code-block:: python

            from langchain_community.embeddings import MiniMaxEmbeddings

            embed = MiniMaxEmbeddings(
                model="embo-01",
                # api_key="...",
                # group_id="...",
                # other
            )

    Embed single text:
        .. code-block:: python

            input_text = "The meaning of life is 42"
            embed.embed_query(input_text)

        .. code-block:: python

            [0.03016241, 0.03617699, 0.0017198119, -0.002061239, -0.00029994643, -0.0061320597, -0.0043635326, ...]

    Embed multiple text:
        .. code-block:: python

            input_texts = ["This is a test query1.", "This is a test query2."]
            embed.embed_documents(input_texts)

        .. code-block:: python

            [
                [-0.0021588828, -0.007608119, 0.029349545, -0.0038194496, 0.008031177, -0.004529633, -0.020150753, ...],
                [ -0.00023150232, -0.011122423, 0.016930554, 0.0083089275, 0.012633711, 0.019683322, -0.005971041, ...]
            ]
    z&https://api.minimax.chat/v1/embeddingsstrendpoint_urlzembo-01modeldbembed_type_dbqueryembed_type_queryNgroup_id)defaultaliaszOptional[str]minimax_group_idapi_keyzOptional[SecretStr]minimax_api_keyTZforbid)Zpopulate_by_nameextrar   )valuesr   c                 C  s8   t |ddgd}tt |ddgd}||d< ||d< |S )z9Validate that group id and api key exists in environment.r8   r5   ZMINIMAX_GROUP_IDr:   r9   ZMINIMAX_API_KEY)r
   r	   )clsr<   r8   r:   r#   r#   r$   validate_environment}   s    

z&MiniMaxEmbeddings.validate_environmentz	List[str]zList[List[float]])texts
embed_typer   c           	      C  sx   | j ||d}d| j  dd}d| ji}tj| j|||d}| }|d d d	krltd
|d  |d }|S )N)r0   typer?   zBearer zapplication/json)AuthorizationzContent-TypeZGroupId)paramsheadersjsonZ	base_respstatus_coder   zMiniMax API returned an error: Zvectors)	r0   r:   Zget_secret_valuer8   requestspostr/   rE   
ValueError)	selfr?   r@   payloadrD   rC   responseZparsed_responser'   r#   r#   r$   r*      s&    
zMiniMaxEmbeddings.embed)r?   r   c                 C  s   t | || jd}|S )zEmbed documents using a MiniMax embedding endpoint.

        Args:
            texts: The list of texts to embed.

        Returns:
            List of embeddings, one for each text.
        r?   r@   )r-   r2   )rJ   r?   r'   r#   r#   r$   embed_documents   s    	z!MiniMaxEmbeddings.embed_documentszList[float])textr   c                 C  s   t | |g| jd}|d S )zEmbed a query using a MiniMax embedding endpoint.

        Args:
            text: The text to embed.

        Returns:
            Embeddings for the text.
        rM   r   )r-   r4   )rJ   rO   r'   r#   r#   r$   embed_query   s    	
zMiniMaxEmbeddings.embed_query)__name__
__module____qualname____doc__r/   __annotations__r0   r2   r4   r   r8   r:   r   Zmodel_configr   r>   r*   rN   rP   r#   r#   r#   r$   r&   /   s    
:%) 
__future__r   r    typingr   r   r   r   r   rG   Zlangchain_core.embeddingsr   Zlangchain_core.utilsr	   r
   r   Zpydanticr   r   r   r   tenacityr   r   r   r   	getLoggerrQ   r   r%   r-   r&   r#   r#   r#   r$   <module>   s   
