add printer

eda/smart_rank/tool.py

@@ -443,7 +443,7 @@ def compute_tag3_score(x):
 def get_tag3_user_log(cl_id):
     columns = [
         "log_time", "score_type", "event_cn", "first_solutions", "second_solutions", "first_demands", "second_demands",
-        "first_positions", "second_positions", "projects", "business_tags"
+        "first_positions", "second_positions", "projects", "business_tags",
         "selected_stars", "selected_internet_celebrity"
     ]
     try:
@@ -459,25 +459,18 @@ def get_tag3_user_log(cl_id):
         cursor.close()
 
         if data:
-            print("11111")
             user_df = pd.DataFrame(data)
             user_df.columns = columns
-            print(user_df)
         else:
-            print("2222")
             return pd.DataFrame(columns=columns)
 
-        print("3333")
-        print(user_df)
         user_df["days_diff_now"] = round((int(time.time()) - user_df["log_time"].astype(float)) / (24 * 60 * 60))
         user_df["tag_score"] = user_df.apply(lambda x: compute_tag3_score(x), axis=1)
         user_df["business_tags"] = user_df["business_tags"].fillna("")
         user_df["selected_stars"] = user_df["selected_stars"].fillna("")
         user_df["selected_internet_celebrity"] = user_df["selected_internet_celebrity"].fillna("")
-        print(user_df)
         return user_df
     except Exception as e:
-        print("@@@@@@@@@")
         print(e)
         return pd.DataFrame(columns=columns)