change test file

rerank_esmm.py

@@ -152,7 +152,7 @@ def tag_boost(cid_str, tag_list):
 
 
 
-def to_data_base(df2):
+def data_base(df2):
     device_count = df2.shape[0]
     con = pymysql.connect(host='172.16.40.158', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
     cur = con.cursor()
@@ -186,32 +186,46 @@ def to_data_base(df2):
     #     print(e)
 
 
+def to_data_base():
+    db = pymysql.connect(host='172.16.40.158', port=4000, user='root',
+                         passwd='3SYz54LS9#^9sBvC', db='jerry_test')
+    cursor = db.cursor()
+    sql = "select device_id from esmm_device_diary_queue limit 6"
+    cursor.execute(sql)
+    result = cursor.fetchall()
+    print(result)
+    print(set(result))
+    db.close()
+
+
+
 
 if __name__ == "__main__":
-    users_list = get_esmm_users()
-    total_samples = list()
-    name_tag = get_searchworlds_to_tagid()
-    # TODO 把下面的截断改掉
-    for i in users_list[:60]:
-        tag_list = get_user_profile(i[0])
-        queues = get_queues(i[0],i[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 = [i[0],i[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(df.head(2))
-        to_data_base(df)
-        print("good boy")
+    # users_list = get_esmm_users()
+    # total_samples = list()
+    # name_tag = get_searchworlds_to_tagid()
+    # # TODO 把下面的截断改掉
+    # for i in users_list[:60]:
+    #     tag_list = get_user_profile(i[0])
+    #     queues = get_queues(i[0],i[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 = [i[0],i[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(df.head(2))
+    #     to_data_base(df)
+    #     print("good boy")
     # to_data_base(df)
     # to kv
+    to_data_base()
 
 
     # cid_str = "16473983,16296886,16199213,16193883,16419499,16372783,16430184,16617593,16498902,16238415,16214258,15715721,16213338,15349114,14091428,16268804,15485655,16448547,16179842,16685025,16612412,16683132,15646229,16482213,16485831,16436136,16353856,16400696,16193006,16294202,16393228,16716816,16713343,16780702,16107140,16647027,16112786,16503037,16372681,16207971,16179934,16480641,16295094,16204980,16317847,16434907,16117929,15633591,16116818"