from datetime import datetime

from utils.operate_csv import *
from algs.alg0.utils.mama_utils import *
from utils.app import *


# 从csv评估模型调优结果并将数据存入log
def eval_model_csv(csv_file_path='./data/temp/temp.csv'):
    scores_predict = get_field_values(csv_file_path, "fashion_score_predict")
    scores_true = get_field_values(csv_file_path, "fashion_score_true")
    result = calculate_loss(scores_predict, scores_true)
    data = count_model_csv(csv_file_path)
    result.update(data)
    result['date'] = datetime.now().strftime("%Y-%m-%d")
    result['source'] = csv_file_path
    append_to_csv(result, './data/suanfamama-fashion-guangzhou-dataset/log.csv')


# 从数据库评估模型调优结果并将数据存入log
def eval_model():
    data = app_get_user()
    scores_predict = [row["fashion_score_predict"] for row in data if "fashion_score_predict" in row]
    scores_true = [row["fashion_score_true"] for row in data if "fashion_score_true" in row]
    result = calculate_loss(scores_predict, scores_true)
    result['date'] = datetime.now().strftime("%Y-%m-%d")
    result['source'] = 'users'
    append_to_csv(result, './data/suanfamama-fashion-guangzhou-dataset/log.csv')


# 计算需要统计的字段
def count_model_csv(csv_file_path='./data/temp/temp.csv'):
    field_names = ['type', 'upper_garment', 'lower_garment', 'headgear',
                   'sock', 'shoe', 'accessory', 'backpack', 'scene',
                   'action', 'countenance', 'base_model']
    results = {}
    for field_name in field_names:
        data = get_field_values(csv_file_path, field_name)
        result = count_words_in_strings(data)
        results[field_name] = result
    return results

if __name__ == '__main__':
    # eval_model_csv() # 从csv评估模型调优结果
    # eval_model # 从数据库评估模型调优结果
    print(datetime.now())
    eval_model_csv("./data/suanfamama-fashion-guangzhou-dataset/20240731.csv")
    print(datetime.now())