Commit 24c102d5 authored by 王志伟's avatar 王志伟
parents 144cb1ae 461a6b9e
......@@ -192,6 +192,24 @@ def transform(a,validate_date):
return model
def get_user_feature():
db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
sql = "select max(stat_date) from esmm_train_data"
validate_date = con_sql(db, sql)[0].values.tolist()[0]
print("validate_date:" + validate_date)
temp = datetime.datetime.strptime(validate_date, "%Y-%m-%d")
start = (temp - datetime.timedelta(days=2)).strftime("%Y-%m-%d")
db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
sql = "select e.device_id,e.y,e.z,e.stat_date,e.ucity_id,e.cid_id,e.clevel1_id,e.ccity_name," \
"u.device_type,u.manufacturer,u.channel,home.total" \
"from (esmm_train_data e left join user_feature u on e.device_id = u.device_id) " \
"left join home_tab_click home on e.device_id = home.device_id" \
"where e.stat_date >= '{}'".format(start)
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"})
print(df.head(2))
def get_statistics():
db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_test')
sql = "select device_id,total,精选,直播,鼻部,眼部,微整,牙齿,轮廓,美肤抗衰," \
......@@ -258,13 +276,15 @@ def get_predict_set(ucity_id, cid,model):
if __name__ == "__main__":
get_user_feature()
path = "/home/gmuser/ffm/"
a = time.time()
df, validate_date, ucity_id, cid = get_data()
model = transform(df, validate_date)
get_predict_set(ucity_id, cid,model)
b = time.time()
print("cost(分钟)")
print((b-a)/60)
# df, validate_date, ucity_id, cid = get_data()
# model = transform(df, validate_date)
# get_predict_set(ucity_id, cid,model)
# b = time.time()
# print("cost(分钟)")
# print((b-a)/60)
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