add log

ad_predict.py

@@ -16,19 +16,19 @@ redis_helper = RedisHelper()
 
 def thompson_process(creative_id):
     # 获取creative_id对应的Thompson参数
-    st_time1 = time.time()
+    # st_time1 = time.time()
     thompson_param = redis_helper.get_data_from_redis(key_name=f"{config_.THOMPSON_PARAM_KEY_PREFIX}{creative_id}")
-    get_redis_time = int(time.time() - st_time1) * 1000
+    # get_redis_time = int(time.time() - st_time1) * 1000
     thompson_time = {}
     if thompson_param is None or thompson_param == '':
         # 参数不存在，随机生成[0, 1)之间的浮点数
         st_time2 = time.time()
         score = random.random()
-        thompson_time['random'] = int(time.time() - st_time2) * 1000
+        # thompson_time['random'] = int(time.time() - st_time2) * 1000
         random_flag = 'random'
     else:
         # 参数存在
-        st_time3 = time.time()
+        # st_time3 = time.time()
         param_alpha, param_beta = json.loads(thompson_param.strip())
         param_alpha, param_beta = int(param_alpha), int(param_beta)
         if param_alpha + param_beta >= 100:
@@ -39,9 +39,9 @@ def thompson_process(creative_id):
             # ad_idea_id 曝光数 < 100，随机生成[0, 1)之间的浮点数
             score = random.random()
             random_flag = 'random'
-        thompson_time['beta'] = int(time.time() - st_time3) * 1000
+        # thompson_time['beta'] = int(time.time() - st_time3) * 1000
     thompson_res = [creative_id, score, thompson_param, random_flag]
-    log_.info(f"get_redis_time: {get_redis_time}, thompson_time: {thompson_time}")
+    # log_.info(f"get_redis_time: {get_redis_time}, thompson_time: {thompson_time}")
     return thompson_res
 
 
@@ -68,6 +68,6 @@ def get_creative_id_with_thompson(mid, creative_id_list):
         'random_flag': thompson_res_rank[0][3],
         'thompson_res_rank': thompson_res_rank
     }
-    log_.info(f"gevent_pool_time: {gevent_pool_time}, get_random_time: {get_random_time}, sort_time: {sort_time}")
+    log_.info({'gevent_pool_time': gevent_pool_time, 'get_random_time': get_random_time, 'sort_time': sort_time})
     return rank_res