add exception check

src/models/esmm/fe/click_fe.py

@@ -18,8 +18,7 @@ def click_feature_engineering(click_df, conversion_df):
     nullseries = cc_df.isnull().sum()
     nulls = nullseries[nullseries > 0]
     if nulls.any():
-        print("!!!!!!!!!!!!!!!!!!!!!!\n")
         print(nulls)
-        print("!!!!!!!!!!!!!!!!!!!!!!\n")
+        raise Exception("click_feature_engineering nulls")
 
     return cc_df

src/models/esmm/fe/device_fe.py

@@ -122,5 +122,5 @@ def device_feature_engineering(device_df, content_type):
     nulls = nullseries[nullseries > 0]
     if nulls.any():
         print(nulls)
-        print("!!!!!!!!!!!!!!!!!!!!!!\n")
+        raise Exception("device_feature_engineering nulls")
     return df[columns]

src/models/esmm/fe/diary_fe.py

@@ -423,9 +423,8 @@ def diary_feature_engineering(df):
     nullseries = diary_df.isnull().sum()
     nulls = nullseries[nullseries > 0]
     if nulls.any():
-        print("!!!!!!!!!!!!!!!!!!!!!!\n")
         print(nulls)
-        print("!!!!!!!!!!!!!!!!!!!!!!\n")
+        raise Exception("diary_feature_engineering nulls")
     return diary_df
 
 
@@ -499,9 +498,8 @@ def join_features(device_df, diary_df, cc_df):
     nullseries = df.isnull().sum()
     nulls = nullseries[nullseries > 0]
     if nulls.any():
-        print("!!!!!!!!!!!!!!!!!!!!!!\n")
         print(nulls)
-        print("!!!!!!!!!!!!!!!!!!!!!!\n")
+        raise Exception("diary join_features nulls")
 
     drop_columns = [
         "cl_id", "first_demands_x", "first_demands_y", "first_demands", "second_demands_x", "second_demands_y", "second_demands",

src/models/esmm/fe/tractate_fe.py

@@ -409,9 +409,8 @@ def tractate_feature_engineering(tractate_df):
     nullseries = df.isnull().sum()
     nulls = nullseries[nullseries > 0]
     if nulls.any():
-        print("!!!!!!!!!!!!!!!!!!!!!!\n")
         print(nulls)
-        print("!!!!!!!!!!!!!!!!!!!!!!\n")
+        raise Exception("tractate_feature_engineering nulls")
     return df
 
 
@@ -485,9 +484,8 @@ def join_features(device_df, tractate_df, cc_df):
     nullseries = df.isnull().sum()
     nulls = nullseries[nullseries > 0]
     if nulls.any():
-        print("!!!!!!!!!!!!!!!!!!!!!!\n")
         print(nulls)
-        print("!!!!!!!!!!!!!!!!!!!!!!\n")
+        raise Exception("tractate join_features nulls")
     print(df.shape)
 
     drop_columns = [