import random
import time
import multiprocessing

from datetime import date, timedelta
from log import Log
from db_helper import RedisHelper
from config import set_config
from utils import FilterVideos, get_videos_remain_view_count

log_ = Log()
config_ = set_config()


def video_recommend(mid, uid, size, app_type, algo_type):
    """
    首页线上推荐逻辑
    :param mid: mid type-string
    :param uid: uid type-string
    :param size: 请求视频数量 type-int
    :param app_type: 产品标识  type-int
    :param algo_type: 算法类型  type-string
    :return:
    """
    # 多进程召回
    start_recall = time.time()
    cores = multiprocessing.cpu_count()
    pool = multiprocessing.Pool(processes=cores)
    pool_recall = PoolRecall(app_type=app_type, mid=mid, uid=uid)
    pool_list = [
        # rov召回池
        pool.apply_async(pool_recall.rov_pool_recall, size),
        # 流量池
        pool.apply_async(pool_recall.flow_pool_recall, size)
    ]
    recall_result_list = [p.get() for p in pool_list]
    pool.close()
    pool.join()
    end_recall = time.time()
    log_.info('mid: {}, uid: {}, recall: {}, execute time = {}ms'.format(
        mid, uid, recall_result_list, (end_recall - start_recall) * 1000))

    # 排序
    data = {
        'rov_pool_recall': recall_result_list[0],
        'flow_pool_recall': recall_result_list[1]
    }


    # 1. 从ROV召回池中获取 size 个视频, 过滤

    # 2. 从流量池中获取 size-K 个视频，过滤，剩余可分发数 > 0

    # 3. 排序，topK 召回池视频，size-K 按概率 P 从流量池中获取视频
    pass