import sys
import pandas as pd
from db_helper import RedisHelper

redis_helper = RedisHelper()


def cal_compose_score(score_hour_path, score_24h_path):
    """分值合并"""
    score_hour_df = pd.read_csv(score_hour_path)
    score_24h_df = pd.read_csv(score_24h_path)
    print(score_hour_df)
    print(score_24h_df)
    score_hour_df['videoid'] = score_hour_df['videoid'].astype(int)
    score_24h_df['videoid'] = score_24h_df['videoid'].astype(int)
    score_merge_df = pd.merge(score_hour_df, score_24h_df, on='videoid', how='outer')
    score_merge_df.fillna(0, inplace=True)
    print(score_merge_df)
    print(score_hour_df.shape)
    print(score_24h_df.shape)
    print(score_merge_df.shape)
    score_merge_df['score1'] = score_merge_df['24h_score1'] + score_merge_df['hour_score1']
    score_merge_df['score2'] = score_merge_df['24h_score1'] + score_merge_df['hour_score2']
    score_merge_df['score3'] = score_merge_df['24h_score1'] + score_merge_df['hour_score3']
    score_merge_df['score4'] = score_merge_df['24h_score1'] + score_merge_df['hour_score4']
    score_merge_df['score5'] = score_merge_df['24h_score1'] + score_merge_df['hour_score5']
    print(score_merge_df)
    print(score_merge_df.shape)
    score_df = score_merge_df[['videoid', 'score1', 'score2', 'score3', 'score4', 'score5']]
    return score_df


def score_to_redis(score_df):
    redis_data = dict()
    rank_score_key_prefix = 'rank:'
    score_name_list = score_df.columns.to_list()[1:]
    for ind, row in score_df.iterrows():
        video_id = int(row['videoid'])
        for score_name in score_name_list:
            score = row[score_name]
            rank_score_key = f"{rank_score_key_prefix}{score_name}:{video_id}"
            redis_data[rank_score_key] = score
            print(rank_score_key, score)
            # redis_helper.set_data_to_redis(key_name=rank_score_key, value=score, expire_time=24*60*60)
            if ind % 1000 == 0:
                if len(redis_data) > 0:
                    print(ind, len(redis_data))
                    redis_helper.update_batch_set_key(data=redis_data, expire_time=24*60*60)
                    redis_data = {}
    if len(redis_data) > 0:
        redis_helper.update_batch_set_key(data=redis_data, expire_time=24 * 60 * 60)
    print(len(redis_data))


if __name__ == '__main__':
    now_date = sys.argv[1]
    print("now date:", now_date)
    score_hour_path = f"./data/hour_score_{now_date}.csv"
    score_24h_path = f"./data/24h_score_{now_date}.csv"
    score_df = cal_compose_score(score_hour_path=score_hour_path, score_24h_path=score_24h_path)
    score_to_redis(score_df=score_df)