add log

ad_predict.py

@@ -19,7 +19,7 @@ def thompson_process(creative_id):
     # 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
-    thompson_time = {}
+    # 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()
@@ -48,17 +48,17 @@ def thompson_process(creative_id):
 def get_creative_id_with_thompson(mid, creative_id_list, gevent_pool):
     """利用Thompson采样获取此次要展示的广告创意ID"""
     # 限制协程最大并发数：20
-    st_time6 = time.time()
-    gevent_pool_time = int(time.time() - st_time6) * 1000
-    st_time5 = time.time()
+    # st_time6 = time.time()
+    # gevent_pool_time = int(time.time() - st_time6) * 1000
+    # st_time5 = time.time()
     tasks = [gevent_pool.spawn(thompson_process, creative_id) for creative_id in creative_id_list]
     gevent.joinall(tasks)
     thompson_res_list = [t.get() for t in tasks]
-    get_random_time = int(time.time() - st_time5) * 1000
+    # get_random_time = int(time.time() - st_time5) * 1000
     # 按照score排序
-    st_time4 = time.time()
+    # st_time4 = time.time()
     thompson_res_rank = sorted(thompson_res_list, key=lambda x: x[1], reverse=True)
-    sort_time = int(time.time() - st_time4) * 1000
+    # sort_time = int(time.time() - st_time4) * 1000
     rank_res = {
         'mid': mid,
         'creative_id': thompson_res_rank[0][0],
@@ -67,6 +67,6 @@ def get_creative_id_with_thompson(mid, creative_id_list, gevent_pool):
         'random_flag': thompson_res_rank[0][3],
         'thompson_res_rank': thompson_res_rank
     }
-    log_.info({'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