add data

tensnsorflow/ffm.py

@@ -31,7 +31,7 @@ def test():
 
 def get_data():
     db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
-    sql = "select device_id,y,z,stat_date,ucity_id,cid_id,clevel1_id,ccity_name from esmm_train_data"
+    sql = "select device_id,y,z,stat_date,ucity_id,cid_id,clevel1_id,ccity_name from esmm_train_data limit 2000"
     df = con_sql(db,sql)
     df = df.rename(columns={0:"device_id",1: "y",2:"z",3:"stat_date",4:"ucity_id",5:"cid_id",
                                 6:"clevel1_id",7:"ccity_name"})
@@ -99,7 +99,6 @@ def get_statistics(device_tuple):
     db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='eagle')
     sql = "select device_id,device_type,channel,total,精选,直播,鼻部,眼部,微整,牙齿,轮廓,美肤抗衰," \
           "吸脂,脂肪填充,隆胸,私密,毛发管理,公立,韩国 from home_tab_click where device_id in {}".format(device_tuple)
-    print(sql)
     df = con_sql(db, sql)
     df = df.rename(columns={0:"device_id",1:"device_type",2:"channel",3:"total"})
     for i in df.columns.difference(["device_id", "device_type","channel","total"]):