rov-server/ad_recommend.py

import datetime
from utils import RedisHelper
from config import set_config
config_ = set_config()
redis_helper = RedisHelper()


def ad_recommend_predict(app_type, mid, video_id):
    """
    广告推荐预测
    :param app_type: app_type
    :param mid: mid
    :param video_id: video_id
    :return: ad_predict, type-int, 1-不发放广告,2-发放广告
    """
    now_date = datetime.datetime.today()
    now_dt = datetime.datetime.strftime(now_date, '%Y%m%d')

    # 判断mid所属分组
    mid_group_key_name = f"{config_.KEY_NAME_PREFIX_MID_GROUP}{mid}"
    mid_group = redis_helper.get_data_from_redis(key_name=mid_group_key_name)
    if mid_group is None:
        mid_group = 'mean_group'

    # 判断用户是否在免广告用户组列表中
    if mid_group in config_.NO_AD_MID_GROUP_LIST:
        # 在免广告用户组列表中，则不出广告
        ad_predict = 1
        result = {
            'mid_group': mid_group,
            'ad_predict': ad_predict
        }
    else:
        # 获取用户组分享率
        group_share_rate_key = f"{config_.KEY_NAME_PREFIX_AD_GROUP}{now_dt}"
        if not redis_helper.key_exists(group_share_rate_key):
            redis_dt = datetime.datetime.strftime(now_date - datetime.timedelta(days=1), '%Y%m%d')
            group_share_rate_key = f"{config_.KEY_NAME_PREFIX_AD_GROUP}{redis_dt}"
        group_share_rate = redis_helper.get_score_with_value(key_name=group_share_rate_key, value=mid_group)
        # 获取视频分享率
        video_share_rate_key = f"{config_.KEY_NAME_PREFIX_AD_VIDEO}{now_dt}"
        if not redis_helper.key_exists(video_share_rate_key):
            redis_dt = datetime.datetime.strftime(now_date - datetime.timedelta(days=1), '%Y%m%d')
            video_share_rate_key = f"{config_.KEY_NAME_PREFIX_AD_VIDEO}{redis_dt}"
        video_share_rate = redis_helper.get_score_with_value(key_name=video_share_rate_key, value=int(video_id))
        if video_share_rate is None:
            video_share_rate = redis_helper.get_score_with_value(key_name=video_share_rate_key, value=-1)

        # 计算 mid-video 分享率
        mid_video_share_rate = float(group_share_rate) * float(video_share_rate)

        # 获取对应的阈值
        threshold_key_name = f"{config_.KEY_NAME_PREFIX_AD_THRESHOLD}{app_type}:{mid_group}"
        threshold = redis_helper.get_data_from_redis(key_name=threshold_key_name)
        if threshold is None:
            threshold = 0
        else:
            threshold = float(threshold)
        # 阈值判断
        if mid_video_share_rate > threshold:
            # 大于阈值，出广告
            ad_predict = 2
        else:
            # 否则，不出广告
            ad_predict = 1
        result = {
            'mid_group': mid_group,
            'group_share_rate': group_share_rate,
            'video_share_rate': video_share_rate,
            'mid_video_share_rate': mid_video_share_rate,
            'threshold': threshold,
            'ad_predict': ad_predict}

    return result