o
    Ďi                     @   s   d dl Z d dlZd dlZd dlZd dlZd dlmZ d dlZd dlm	Z	 d dl
mZ d dlmZ d dlmZ d dlmZ G dd	 d	eZdS )
    N)Optional)Image)CLASSIFICATION_MODEL)InferenceModel)check_image_url)PredictionGroupc                       s   e Zd ZdZ					ddededee dee dee dee d	ee f fd
dZdddZdd Z	dd Z
dddZdd Z  ZS )ClassificationModelzr
    Run inference on a classification model hosted on Roboflow or served through
        Roboflow Inference.
    Napi_keyidnameversionlocalcolorspreprocessingc                    s   t  j|||d || _|| _|| _|| _d| _| jdur%|dur%|   |du r+i n|| _|du r4i n|| _	|rEt
d|  || _dS dS )a=  
        Create a ClassificationModel object through which you can run inference.

        Args:
            api_key (str): private roboflow api key
            id (str): the workspace/project id
            name (str): is the name of the project
            version (str): version number
            local (str): localhost address and port if pointing towards local inference engine
            colors (dict): colors to use for the image
            preprocessing (dict): preprocessing to use for the image

        Returns:
            ClassificationModel Object
        )r   zhttps://classify.roboflow.com/Nz3initalizing local classification model hosted at : )super__init___ClassificationModel__api_keyr
   r   r   base_url"_ClassificationModel__generate_urlr   r   print)selfr	   r
   r   r   r   r   r   	__class__ Z/home/jeff/fluffinator/venv/lib/python3.10/site-packages/roboflow/models/classification.pyr      s   
zClassificationModel.__init__Fc                 C   s   |    | j|d |s;t|d}t }|j|ddd |j}t	
| }|d}tj| j|ddid	}n|  jd
tj| 7  _t| j}ddd}|jdkr]t|jtj| ||t| jdS )a0  
        Run inference on an image.

        Args:
            image_path (str): path to the image you'd like to perform prediction on
            hosted (bool): whether the image you're providing is hosted on Roboflow

        Returns:
            PredictionGroup Object

        Example:
            >>> import roboflow

            >>> rf = roboflow.Roboflow(api_key="")

            >>> project = rf.workspace().project("PROJECT_ID")

            >>> model = project.version("1").model

            >>> prediction = model.predict("YOUR_IMAGE.jpg")
        )image_path_checkRGBZ   JPEG)qualityformatasciizContent-Typez!application/x-www-form-urlencoded)dataheadersz&image=0)widthheight   )
image_dims
image_pathprediction_typer   )r   %_ClassificationModel__exception_checkr   openconvertioBytesIOsavesizebase64	b64encodegetvaluedecoderequestspostapi_urlurllibparse
quote_plusstatus_code	Exceptiontextr   create_prediction_groupjsonr   r   )r   r)   hostedimagebufferedimg_dimsimg_strrespr   r   r   predictB   s4   



zClassificationModel.predictc                 C   s   || _ || _|   dS )z
        Load a model.

        Args:
            name (str): is the name of the model you'd like to load
            version (int): version number
        N)r   r   r   )r   r   r   r   r   r   
load_model}   s   	zClassificationModel.load_modelc                 C   s`   | j d}|d }| j}|st|dkr|d }d| j| d t| d| j dg| _dS )z
        Generate a Roboflow API URL on which to run inference.

        Returns:
            url (str): the url on which to run inference
        /       z	?api_key=z&name=YOUR_IMAGE.jpgN)	r
   rsplitr   lenjoinr   strr   r8   )r   splittedwithout_workspacer   r   r   r   __generate_url   s   	
z"ClassificationModel.__generate_urlc                 C   s8   |durt j|st|std| d dS dS dS )z
        Check to see if an image exists.

        Args:
            image_path_check (str): path to the image to check

        Raises:
            Exception: if image does not exist
        NzImage does not exist at !)ospathexistsr   r=   )r   r   r   r   r   __exception_check   s
   z%ClassificationModel.__exception_checkc                 C   s    | j | j| jd}tj|ddS )z@
        String representation of classification object
        )r   r   r   rK   )indent)r   r   r   r@   dumps)r   
json_valuer   r   r   __str__   s
   zClassificationModel.__str__)NNNNN)F)N)__name__
__module____qualname____doc__rP   r   dictr   rG   rH   r   r+   r\   __classcell__r   r   r   r   r      s6    	
+;
r   )r2   r.   r@   rU   r9   typingr   r6   PILr   roboflow.configr   roboflow.models.inferencer   roboflow.util.image_utilsr   roboflow.util.predictionr   r   r   r   r   r   <module>   s    