20200518_0

AUC_time.py

@@ -321,6 +321,9 @@ class AUCMonitor:
         else:
             self.mongo_df = pd.read_csv(self.save_path + 'data/mongo_data.csv')
         self.mongo_df = self.mongo_df.loc[self.mongo_df['applied_type'].notna()]
+        # 去除巧盼渠道.
+        self.mongo_df = self.mongo_df.loc[self.mongo_df['applied_channel'] != '巧盼API']
+
         last_day = datetime.datetime.today()
 
         self.mongo_df['deadline'] = self.mongo_df['deadline'].apply(

PSI_time.py

@@ -344,6 +344,8 @@ class PSIMonitor:
             self.mongo_df['applied_at'] = self.mongo_df['applied_at'].apply(lambda x: x[:10])
         else:
             self.mongo_df['applied_at'] = self.mongo_df['applied_at'].apply(lambda x: x.strftime('%Y-%m-%d'))
+        # 去除巧盼渠道.
+        self.mongo_df = self.mongo_df.loc[self.mongo_df['applied_channel'] != '巧盼API']
 
         # 清洗数据.
         def clean_data(data):

VLM_time.py

@@ -435,6 +435,9 @@ class VLMMonitor:
             self.mongo_df = pd.read_csv(self.data_save_path + 'mongo_data.csv')
         self.mongo_df = self.mongo_df.loc[self.mongo_df['applied_type'].notna()]
 
+        # 去除巧盼渠道.
+        self.mongo_df = self.mongo_df.loc[self.mongo_df['applied_channel'] != '巧盼API']
+
         def func_1(data):
             try:
                 int(data)