make a property

__init__.py

@@ -25,7 +25,6 @@
 class WolframAlphaSkill(CommonQuerySkill):
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
-        self.wolfie = None
         # continuous dialog, "tell me more"
         self.idx = 0
         self.last_query = None
@@ -53,14 +52,19 @@ def __init__(self, *args, **kwargs):
             'Scrabble score',  # spammy
             'Other notable uses'  # spammy
         ]
+
+    @property
+    def wolfie(self):
+        # property to allow api key changes in config
         try:
-            self.wolfie = WolframAlphaSolver({
+            return WolframAlphaSolver({
                 "units": self.config_core['system_unit'],
                 "appid": self.settings.get("api_key")
             })
         except Exception as err:
             self.log.error("WolframAlphaSkill failed to initialize: %s", err)
-
+        return None
+
     @classproperty
     def runtime_requirements(self):
         return RuntimeRequirements(internet_before_load=True,
@@ -85,12 +89,12 @@ def handle_search(self, message: Message):
 
     @intent_handler(IntentBuilder("WolfieMore").require("More").
                     require("WolfieKnows"))
-    def handle_tell_more(self, _):
+    def handle_tell_more(self, message: Message):
         """ Follow up query handler, "tell me more"."""
         self.speak_result()
 
     # common query integration
-    def CQS_match_query_phrase(self, phrase):
+    def CQS_match_query_phrase(self, phrase: str):
         self.log.debug("WolframAlpha query: " + phrase)
         if self.wolfie is None:
             self.log.error("WolframAlphaSkill not initialized, no response")
@@ -102,12 +106,12 @@ def CQS_match_query_phrase(self, phrase):
             return (phrase, CQSMatchLevel.GENERAL, response,
                     {'query': phrase, 'answer': response})
 
-    def CQS_action(self, phrase, data):
+    def CQS_action(self, phrase: str, data: dict):
         """ If selected show gui """
         self.display_wolfie()
 
     # wolfram integration
-    def ask_the_wolf(self, query):
+    def ask_the_wolf(self, query: str):
         # context for follow up questions
         self.set_context("WolfieKnows", query)
         results = self.wolfie.long_answer(query,