send_email

eda/recommended_indexs/hypothesis_test.py

@@ -53,6 +53,20 @@ def DATA_fixed(x,y,z,q):
     where stat_date >='2018-11-17'  and stat_date<='2018-11-26' group by stat_date".format(x,y,z,q)
     CVR_DATA_fixed = con_sql(sql_cid)
     return CVR_DATA_fixed
+
+def DATA_recently_all(x,y,z,q,m,t):
+    ten_days = get_somedate()
+    sql_cid = "select ({0}+{1})/{2} as {3} from {4} \
+    where stat_date >='{5}' ".format(x,y,z,q,m,t)
+    CVR_DATA_recently = con_sql(sql_cid)
+    return CVR_DATA_recently
+#
+# #获取固定时间的10天的数据
+def DATA_fixed_all(x,y,z,q,m):
+    sql_cid = "select ({0}+{1})/{2} as {3} from {4} \
+    where stat_date >='2018-11-17'  and stat_date<='2018-11-26' group by stat_date".format(x,y,z,q,m)
+    CVR_DATA_fixed = con_sql(sql_cid)
+    return CVR_DATA_fixed
 #
 # #新用户cvr
 x_crv_new_temp=DATA_recently("diary_meigou_newUser","diary_clk_newUser","CVR_new","diary_meigou_crv",ten_days)
@@ -92,15 +106,15 @@ y_ctr_old_temp=DATA_fixed("clk_count_oldUser_all","imp_count_oldUser_all","ctr_o
 y_ctr_old=[float(str(Decimal(y_ctr_old_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(y_ctr_old_temp))]
 #
 # #新用户ctr(on_click_diary_card)
-x_ctr_new_o_temp=DATA_recently("clk_count_newUser_all_a","imp_count_newUser_all","ctr_new","on_click_diary_card",ten_days)
+x_ctr_new_o_temp=DATA_recently_all("clk_count_newUser_all_a","clk_count_newUser_all_b","imp_count_newUser_all","ctr_new","on_click_diary_card",ten_days)
 x_ctr_new_o=[float(str(Decimal(x_ctr_new_o_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(x_ctr_new_o_temp))]
-y_ctr_new_o_temp=DATA_fixed("clk_count_newUser_all_a","imp_count_newUser_all","ctr_new","on_click_diary_card")
+y_ctr_new_o_temp=DATA_fixed_all("clk_count_newUser_all_a","clk_count_newUser_all_b","imp_count_newUser_all","ctr_new","on_click_diary_card")
 y_ctr_new_o=[float(str(Decimal(y_ctr_new_o_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(y_ctr_new_o_temp))]
 #
 # #老用户ctr(on_click_diary_card)
-x_ctr_old_o_temp=DATA_recently("clk_count_oldUser_all_a","imp_count_oldUser_all","ctr_old","on_click_diary_card",ten_days)
+x_ctr_old_o_temp=DATA_recently_all("clk_count_oldUser_all_a","clk_count_oldUser_all_b","imp_count_oldUser_all","ctr_old","on_click_diary_card",ten_days)
 x_ctr_old_o=[float(str(Decimal(x_ctr_old_o_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(x_ctr_old_o_temp))]
-y_ctr_old_o_temp=DATA_fixed("clk_count_oldUser_all_a","imp_count_oldUser_all","ctr_old","on_click_diary_card")
+y_ctr_old_o_temp=DATA_fixed_all("clk_count_oldUser_all_a","clk_count_oldUser_all_b","imp_count_oldUser_all","ctr_old","on_click_diary_card")
 y_ctr_old_o=[float(str(Decimal(y_ctr_old_o_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(y_ctr_old_o_temp))]
 # #
 #
@@ -158,10 +172,10 @@ print("【6】老用户CTR假设检验结果：")
 ctr_old_ttest=t_test(x_ctr_old,y_ctr_old)
 
 #新用户ctr(on_click_diary_card)假设检验
-print("【7】新用户CTR假设检验（on_click_diary_card）结果：")
+print("【7】新用户CTR假设检验(日记本列表ctr)（on_click_diary_card）结果：")
 ctr_new_o_ttest=t_test(x_ctr_new_o,y_ctr_new_o)
 #老用户ctr(on_click_diary_card)假设检验
-print("【8】老用户CTR假设检验（on_click_diary_card）结果：")
+print("【8】老用户CTR假设检验(日记本列表ctr)（on_click_diary_card）结果：")
 ctr_old_o_ttest=t_test(x_ctr_old_o,y_ctr_old_o)
 #
 # ###############推荐策略不变的情况下数据假设检验##############

eda/recommended_indexs/send_email.py

@@ -10,8 +10,8 @@ import datetime
 
 from email.mime.multipart import MIMEMultipart
 
-my_sender='gaoyazhe@igengmei.com'
-my_pass = 'VCrKTui99a7ALhiK'
+my_sender='wangzhiwei@igengmei.com'
+my_pass = 'RiKEcsHAgesCZ7yd'
 my_user1='wangzhiwei@igengmei.com'
 def mail():
     ret = True
@@ -20,7 +20,7 @@ def mail():
     pdfApart.add_header('Content-Disposition', 'attachment', filename=pdfFile)
     m = MIMEMultipart()
     m.attach(pdfApart)
-    m['Subject'] = 'title'
+    m['Subject'] = '数据指标监控数据（假设检验）'
 
 
     try: