日记灰度实验

eda/smart_rank/gm_feed_cold_start.py

@@ -31,7 +31,6 @@ def search_diary_by_match_phrase(tag_names, city_tag_id, version):
         ]
     if version:
         sort_list += [
-            {'is_low_quality': {'order': 'asc'}},
             {'has_video_cover': {'order': 'asc'}},
             {'offline_score': {'order': 'desc'}},
             {"good_click": {"order": "desc"}},
@@ -173,7 +172,7 @@ if __name__ == "__main__":
     light_clinic_beauty_qa_queue_key = "coldstart:light:clinic:beauty:qa:queue"
     light_clinic_beauty_qa_queue_grey_key = "coldstart:light:clinic:beauty:qa:queue:grey"
     light_clinic_beauty_diary_queue_key = "coldstart:light:clinic:beauty:diary:queue"
-    light_clinic_beauty_diary_queue_key2 = "coldstart:light:clinic:beauty:diary:queue:offline:score:v1"
+    light_clinic_beauty_diary_queue_grey_key = "coldstart:light:clinic:beauty:diary:queue:grey"
     card_types = ['topic', 'qa']  # 日记有400多个城市，且是hmset，因此不用重置
     # word_refers = ['coldstart:hot:search:word', 'coldstart:light:clinic:beauty']
     word_refers = ['coldstart:light:clinic:beauty']
@@ -236,5 +235,5 @@ if __name__ == "__main__":
     for city_tag_id in all_city_tag_id:
         diary_queue = search_diary_by_match_phrase(light_clinic_beauty, city_tag_id, version=1)
         light_clinic_beauty_diary_queue.update({city_tag_id: json.dumps(diary_queue)})
-    redis_client.hmset(light_clinic_beauty_diary_queue_key2, light_clinic_beauty_diary_queue)
+    redis_client.hmset(light_clinic_beauty_diary_queue_grey_key, light_clinic_beauty_diary_queue)
     print("轻医美词更新的灰度日记队列长度：%s" % str(len(diary_queue)))