change test

monitor.py

@@ -211,30 +211,36 @@ def make_data(device_id,city_id,key_head):
     # device_id = "868663038800476"
     city_id = "beijing"
 
+def topic():
+    device_id = "78687687"
+    dislike_key = str(device_id) + "_dislike_tractate"
+    r = redis.StrictRedis.from_url("redis://redis.paas-test.env:6379/2")
+    r.sadd(dislike_key, *[1,2])
+    print(r.smembers(dislike_key))
+    search = "TS:search_recommend_tractate_queue:device_id:" + str(device_id)
+    a = [1]
+    a.extend(list(range(36, 50)))
+    r.hset(search, 'tractate_queue',json.dumps(a))
+    print(r.hgetall(search))
+
+def black(x):
+    db_zhengxing = pymysql.connect(host="172.16.30.143", port=3306, user="work",
+                                   password="BJQaT9VzDcuPBqkd",
+                                   db="zhengxing",
+                                   cursorclass=pymysql.cursors.DictCursor)
+    cursor = db_zhengxing.cursor()
+    date_str = str(datetime.datetime.now())
+    sql = "REPLACE INTO hippo_deviceblacklist(device_id,create_at,update_at,pull_black_type)" \
+          "values('{}','{}','{}',{})".format(x,date_str,date_str,1)
+    cursor.execute(sql)
+    db_zhengxing.commit()
+    db_zhengxing.close()
+
 if __name__ == "__main__":
-    users_list = list(range(1,90))
-    n = 3
-    split_users_list = [users_list[i:i + n] for i in range(0, len(users_list), n)]
-    for child_users_list in split_users_list:
-        total_samples = list()
-        for uid_city in child_users_list:
-            # tag_list = get_user_profile(uid_city[0])
-            # queues = get_queues(uid_city[0], uid_city[1])
-            # if len(queues) > 0 and len(tag_list) > 0:
-            #     new_native = tag_boost(queues[0], tag_list)
-            #     new_nearby = tag_boost(queues[1], tag_list)
-            #
-            #     insert_time = str(datetime.datetime.now().strftime('%Y%m%d%H%M'))
-            #     sample = [uid_city[0], uid_city[1], new_native, new_nearby, queues[2], queues[3], insert_time]
-            total_samples.append(uid_city)
-
-        if len(total_samples) > 0:
-            df = pd.DataFrame(total_samples)
-            df = df.rename(columns={0: "device_id"})
-
-            print("df numbers")
-            print(df.shape[0])
-            # to_data_base(df)
+    black("hello")
+
+
+
 
 
 

rerank.py

@@ -183,35 +183,9 @@ def get_all_users():
 
 
 if __name__ == "__main__":
-    # users_list = get_esmm_users()
-    # print("user number")
-    # print(len(users_list))
-    users_list = get_all_users()
-
-    name_tag = get_searchworlds_to_tagid()
-    n = 500
-    split_users_list = [users_list[i:i + n] for i in range(0, len(users_list), n)]
-    for child_users_list in split_users_list:
-        total_samples = list()
-        for uid_city in child_users_list:
-            tag_list = get_user_profile(uid_city[0])
-            queues = get_queues(uid_city[0], uid_city[1])
-            if len(queues) > 0:
-                new_native = tag_boost(queues[0], tag_list)
-                new_nearby = tag_boost(queues[1], tag_list)
-
-                insert_time = str(datetime.datetime.now().strftime('%Y%m%d%H%M'))
-                sample = [uid_city[0], uid_city[1], new_native, new_nearby, queues[2], queues[3], insert_time]
-                total_samples.append(sample)
-
-        if len(total_samples) > 0:
-            df = pd.DataFrame(total_samples)
-            df = df.rename(columns={0: "device_id", 1: "city_id",2:"native_queue",
-                                    3:"nearby_queue",4:"nation_queue",5:"megacity_queue",6:"time"})
-
-            print("数量")
-            print(df.shape[0])
-            to_data_base(df)
+    device_id = "868663038800476"
+    city_id = "beijing"
+    queues = get_queues(device_id, city_id)