update make_dict_from_pair

eda/smart_rank/tag3_update_user_portrait_offline.py

@@ -11,6 +11,14 @@ def merge_values(list_of_dict):
     return dict(functools.reduce(operator.add, map(Counter, list_of_dict)))
 
 
+# [("a", 1), ("b", 2)]
+# {'a': 1, 'b': 2}
+def make_dict_from_pair(x):
+    if len(x[0]) > 0:
+        return dict(zip(x[0], [x[1]] * len(x[0])))
+    return {}
+
+
 def update_tag3_user_portrait(cl_id):
     user_df = get_tag3_user_log(cl_id)
     if not user_df.empty:
@@ -28,19 +36,13 @@ def update_tag3_user_portrait(cl_id):
             zip(user_df["second_positions"].apply(lambda x: x.split(",")), user_df["tag_score"]))
         user_df["projects"] = list(zip(user_df["projects"].apply(lambda x: x.split(",")), user_df["tag_score"]))
 
-        user_df["first_solutions_dict"] = user_df["first_solutions"].apply(
-            lambda x: dict(zip(x[0], [x[1]] * len(x[0]))))
-        user_df["second_solutions_dict"] = user_df["second_solutions"].apply(
-            lambda x: dict(zip(x[0], [x[1]] * len(x[0]))))
-        user_df["first_demands_dict"] = user_df["first_demands"].apply(
-            lambda x: dict(zip(x[0], [x[1]] * len(x[0]))))
-        user_df["second_demands_dict"] = user_df["second_demands"].apply(
-            lambda x: dict(zip(x[0], [x[1]] * len(x[0]))))
-        user_df["first_positions_dict"] = user_df["first_positions"].apply(
-            lambda x: dict(zip(x[0], [x[1]] * len(x[0]))))
-        user_df["second_positions_dict"] = user_df["second_positions"].apply(
-            lambda x: dict(zip(x[0], [x[1]] * len(x[0]))))
-        user_df["projects_dict"] = user_df["projects"].apply(lambda x: dict(zip(x[0], [x[1]] * len(x[0]))))
+        user_df["first_solutions_dict"] = user_df["first_solutions"].apply(lambda x: make_dict_from_pair(x))
+        user_df["second_solutions_dict"] = user_df["second_solutions"].apply(lambda x: make_dict_from_pair(x))
+        user_df["first_demands_dict"] = user_df["first_demands"].apply(lambda x: make_dict_from_pair(x))
+        user_df["second_demands_dict"] = user_df["second_demands"].apply(lambda x: make_dict_from_pair(x))
+        user_df["first_positions_dict"] = user_df["first_positions"].apply(lambda x: make_dict_from_pair(x))
+        user_df["second_positions_dict"] = user_df["second_positions"].apply(lambda x: make_dict_from_pair(x))
+        user_df["projects_dict"] = user_df["projects"].apply(lambda x: make_dict_from_pair(x))
 
         first_solutions_list = user_df["first_solutions_dict"].tolist()
         second_solutions_list = user_df["second_solutions_dict"].tolist()