Merge branch 'master' into feature/zhangbo_flow_recall

ad_user_video_predict.py

@@ -225,6 +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}"
+
             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

config.py

@@ -1572,6 +1572,7 @@ class BaseConfig(object):
     }
 
     # 广告模型阈值计算配置
+    # 阈值计算梳理
     AD_ABTEST_THRESHOLD_CONFIG = {
         # vlog
         '173': {
@@ -1693,6 +1694,7 @@ class BaseConfig(object):
     }
 
     # 广告模型自动调整阈值配置
+    # 阈值计算梳理
     AD_ABTEST_ABCODE_CONFIG = {
         # 票圈vlog
         APP_TYPE['VLOG']: {

user_group_update.py

@@ -79,6 +79,7 @@ def timer_check():
     try:
         app_type_list = config_.AD_APP_TYPE_LIST
         ad_mid_group = config_.AD_MID_GROUP
+        # 用户分组~
         project = config_.ad_model_data['user_group'].get('project')
         table = config_.ad_model_data['user_group'].get('table')
         now_date = datetime.datetime.today()