import joblib
from dao import Redis, get_product_by_id, get_custs_by_ids
from models.rank.data import ProductConfig, CustConfig
class GbdtLrSort:
    def __init__(self, model_path):
        self.load_model(model_path)
        self.redis = Redis().redis
    
    def load_model(self, model_path):
        models = joblib.load(model_path)
        self.gbdt_model = models["gbdt_model"], models["lr_model"], models["onehot_encoder"]
        
    
    def get_recall_list(self, city_uuid, product_id):
        """根据卷烟id获取召回的商铺列表"""
        key = f"fc:{city_uuid}:{product_id}"
        self.recall_cust_list = self.redis.zrange(key, 0, -1, withscores=False)
    
    def load_recall_data(self, city_uuid, product_id):
        self.product_data = get_product_by_id(city_uuid, product_id)[ProductConfig.FEATURE_COLUMNS]
        self.custs_data = get_custs_by_ids(city_uuid, self.recall_cust_list)[CustConfig.FEATURE_COLUMNS]
        print(self.product_data)
    
    def generate_feats_map(self, city_uuid, product_id):
        """组合卷烟、商户特征矩阵"""
        self.get_recall_list(city_uuid, product_id)
        self.load_recall_data(city_uuid, product_id)
        # 做数据清洗
        
    
    def sort(self, city_uuid, product_id):
        pass
    
    def generate_feats_importance(self):
        pass
    
if __name__ == "__main__":
    model_path = "./models/rank/weights/model.pkl"
    city_uuid = "00000000000000000000000011445301"
    product_id = "110102"
    gbdt_sort = GbdtLrSort(model_path)
    gbdt_sort.generate_feats_map(city_uuid, product_id)