update event_cn

eda/smart_rank/tag3_update_user_portrait_offline.py

@@ -30,7 +30,20 @@ def make_dict_from_pair(x):
 def update_tag3_user_portrait_by_event(cl_id):
     user_df = get_tag3_user_log(cl_id)
     if not user_df.empty:
-        user_df["first_solutions_1"] = list(zip(user_df["event_cn"], user_df["first_solutions"].apply(lambda x: x.split(",")), user_df["tag_score"]))
+        user_df["first_solutions"] = list(
+            zip(user_df["event_cn"], user_df["first_solutions"].apply(lambda x: x.split(",")), user_df["tag_score"]))
+        user_df["second_solutions"] = list(
+            zip(user_df["event_cn"], user_df["second_solutions"].apply(lambda x: x.split(",")), user_df["tag_score"]))
+        user_df["first_demands"] = list(
+            zip(user_df["event_cn"], user_df["first_demands"].apply(lambda x: x.split(",")), user_df["tag_score"]))
+        user_df["second_demands"] = list(
+            zip(user_df["event_cn"], user_df["second_demands"].apply(lambda x: x.split(",")), user_df["tag_score"]))
+        user_df["first_positions"] = list(
+            zip(user_df["event_cn"], user_df["first_positions"].apply(lambda x: x.split(",")), user_df["tag_score"]))
+        user_df["second_positions"] = list(
+            zip(user_df["event_cn"], user_df["second_positions"].apply(lambda x: x.split(",")), user_df["tag_score"]))
+        user_df["projects"] = list(
+            zip(user_df["event_cn"], user_df["projects"].apply(lambda x: x.split(",")), user_df["tag_score"]))
         print(user_df)
 
         return cl_id