add test

tensnsorflow/test.py

@@ -29,7 +29,7 @@ def exp():
     db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_prod')
     sql = "select diary_id,level1_ids,level2_ids,level3_ids from diary_feat where diary_id in {}".format(native)
     df = con_sql(db,sql)
-    print(df.head(30))
+
     n = df.shape[0]
     one = df[1].unique()
     one_map = {}
@@ -44,9 +44,31 @@ def exp():
     print(sorted(two_map.items(), key=lambda x: x[1]))
 
 
+def click():
+    db = pymysql.connect(host='10.66.157.22', port=4000, user='root', passwd='3SYz54LS9#^9sBvC', db='jerry_prod')
+    sql = "select d.cid_id,f.level1_ids,f.level2_ids from data_feed_click d left join diary_feat f " \
+          "on d.cid_id = f.diary_id where d.device_id = '358035085192742' " \
+          "and d.cid_type = 'diary' and d.stat_date > '2018-12-20'"
+    df = con_sql(db, sql)
+
+    n = df.shape[0]
+    print(n)
+    one = df[1].unique()
+    one_map = {}
+    for i in one:
+        one_map[i] = df.loc[df[1] == i].shape[0] / n
+    print(sorted(one_map.items(), key=lambda x: x[1],reverse=True))
+    two = df[2].unique()
+    two_map = {}
+    print("分界线")
+    for i in two:
+        two_map[i] = df.loc[df[2] == i].shape[0] / n
+    print(sorted(two_map.items(), key=lambda x: x[1],reverse=True))
+
+
 
 
 if __name__ == "__main__":
-    exp()
+   click()