rov-server/ad_recommend.py

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


def get_params(ab_exp_info, ab_test_code):
    """
    根据实验分组给定对应的参数
    :param ab_exp_info: AB实验组参数
    :param ab_test_code: 用户对应的ab组
    :return:
    """
    abtest_id, abtest_config_tag = None, None
    ad_abtest_id_list = [key.split('-')[0] for key in config_.AD_ABTEST_CONFIG]
    # 获取广告实验配置
    config_value_dict = {}
    if ab_exp_info:
        ab_exp_list = ab_exp_info.get('ab_test003', None)
        if ab_exp_list:
            for ab_item in ab_exp_list:
                ab_exp_code = ab_item.get('abExpCode', None)
                if not ab_exp_code:
                    continue
                if ab_exp_code in ad_abtest_id_list:
                    config_value = ab_item.get('configValue', None)
                    if config_value:
                        config_value_dict[str(ab_exp_code)] = eval(str(config_value))

    if len(config_value_dict) > 0:
        for ab_exp_code, config_value in config_value_dict.items():
            for tag, value in config_value:
                if ab_test_code in value:
                    abtest_id = ab_exp_code
                    abtest_config_tag = tag
                    break

    return abtest_id, abtest_config_tag


def ad_recommend_predict(app_type, mid, video_id, ab_exp_info, ab_test_code):
    """
    广告推荐预测
    :param app_type: app_type
    :param mid: mid
    :param video_id: video_id
    :param ab_exp_info: AB实验组参数
    :param ab_test_code: 用户对应的ab组
    :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')
    # 获取实验参数
    abtest_id, abtest_config_tag = get_params(ab_exp_info=ab_exp_info, ab_test_code=ab_test_code)

    # 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