from src.model import simlarity_model as model 
from src.util import image as image_util
from src.util import matrix
from .model_implements.mobilenet_v3 import ModelnetV3
from .model_implements.vit_base import VitBase


class Similarity:
    def get_models(self):
        return [
            model.SimilarityModel(name= 'Mobilenet V3', image_size= 224, model_cls = ModelnetV3()),
            model.SimilarityModel(name= 'Vision Transformer', image_size= 224, model_cls = VitBase()),
            ]        

    def check_similarity(self, img_urls, model):
        # model = self.get_models()[model_idx]
        imgs = []
        for url in img_urls:
            if url == "": continue
            imgs.append(image_util.load_image_url(url, required_size=(model.image_size, model.image_size)))
        
        features = model.model_cls.extract_feature(imgs)
        for i, v in enumerate(features):
            if i == 0: continue 
            dist = matrix.cosine(features[0], v)
            # print(f'distance: {dist}')

        return 'oke'