数据指标波动假设检验统计

eda/recommended_indexs/hypothesis_test.py

@@ -6,6 +6,9 @@ import datetime
 from utils import con_sql
 from decimal import *
 import numpy as np
+import smtplib
+from email.mime.text import MIMEText
+from email.utils import formataddr
 
 #########推荐策略前后统计指标假设检验（t检验）###############
 
@@ -376,7 +379,32 @@ print("老用户精准曝光CTR数据波动5日内均值:{}".format(mean_var_ctr
 # print(chi_ctr_precise_recently)
 # print(chi_ctr_precise_yesterday)
 print("============================分割线===================================")
-
+##发送邮件
+
+my_sender='gaoyazhe@igengmei.com'
+my_pass = 'VCrKTui99a7ALhiK'
+my_user1='gaoyazhe@igengmei.com'
+my_user2='zhangyanzhao@igengmei.com'
+def mail():
+    ret=True
+    try:
+        msg=MIMEText(mean_var_ctr_old_precise,'plain','utf-8')
+        msg['From']=formataddr(["高雅喆",my_sender])
+        msg['To']=my_user1 + ',' + my_user2
+        msg['Subject']= str(datetime.date.today())+"-监控指标假设检验"
+        server=smtplib.SMTP_SSL("smtp.exmail.qq.com", 465)
+        server.login(my_sender, my_pass)
+        server.sendmail(my_sender,[my_user1,my_user2],msg.as_string())
+        server.quit()
+    except Exception:
+        ret=False
+    return ret
+
+ret=mail()
+if ret:
+    print("邮件发送成功")
+else:
+    print("邮件发送失败")
 
 # chi_cvr_new=
 # chi_cvr_old=