fix

ad_threshold_update_task.sh

@@ -9,7 +9,6 @@ if [[ $ROV_OFFLINE_ENV == 'test' ]]; then
     /root/anaconda3/bin/python /data2/rov-offline/ad_user_video_predict.py
 elif [[ $ROV_OFFLINE_ENV == 'pro' ]]; then
     cd /data/rov-offline &&
-    //广告redis数据写入逻辑
     /root/anaconda3/bin/python /data/rov-offline/ad_users_data_update.py &&
     /root/anaconda3/bin/python /data/rov-offline/ad_users_data_update_new.py &&
     /root/anaconda3/bin/python /data/rov-offline/ad_user_data_with_out_update.py &&

ad_user_video_predict.py

@@ -225,8 +225,7 @@ def predict_ad_group_video_mix_with_add(dt, config_key, config_param, threshold_
         abtest_id, abtest_config_tag = abtest_config_list[0], abtest_config_list[1]
         for key, val in threshold_data.items():
             key_name = f"{config_.KEY_NAME_PREFIX_AD_THRESHOLD}{abtest_id}:{abtest_config_tag}:{abtest_group}:{key}"
-            if abtest_id == 243 and (abtest_group == "ab0" or abtest_group == "ab1" or abtest_group == "ab2"):
-                val=0.6983435337929007
+
             redis_helper.set_data_to_redis(key_name=key_name, value=val, expire_time=2 * 24 * 3600)
 
         # 计算关怀模式实验阈值 并 写入Redis
@@ -237,8 +236,6 @@ def predict_ad_group_video_mix_with_add(dt, config_key, config_param, threshold_
             for key, val in threshold_data.items():
                 up_val = val * threshold_rate
                 care_model_threshold_data[key] = up_val
-                if abtest_id == 243 and (abtest_group == "ab0" or abtest_group == "ab1" or abtest_group == "ab2"):
-                    val = 0.6983435337929007
                 up_key_name = \
                     f"{config_.KEY_NAME_PREFIX_AD_THRESHOLD_CARE_MODEL}{abtest_id}:{abtest_config_tag}:{abtest_group}:{key}"
                 redis_helper.set_data_to_redis(key_name=up_key_name, value=up_val, expire_time=2 * 24 * 3600)

config.py

@@ -2342,7 +2342,7 @@ class BaseConfig(object):
 
     # 特定视频不出广告配置
     no_ad_videos = {
-        'topN': {user0out
+        'topN': {
             'project': 'loghubods',
             'table': 'top_return_videolist_hh',
             'n_list': [3]