responding to "jak masz na imie" + basic logic

model/DialogueState.py

@@ -3,5 +3,4 @@ class DialogueState:
     def __init__(self):
         self.currentActs = []
         self.previousActs = []
-        self.botName = 'Dia'
         self.date = None

presenter/Presenter.py

@@ -1,13 +1,18 @@
 from presenter.chatbot_modules.DialogueStateTracker import DialogueStateTracker
+from presenter.chatbot_modules.NaturalLanguageGeneration import NaturalLanguageGeneration
 from presenter.chatbot_modules.NaturalLanguageUnderstanding import NaturalLanguageUnderstanding
+from presenter.chatbot_modules.DialoguePolicy import DialoguePolicy
 
 
 class Presenter:
     dialogue_state_tracker = DialogueStateTracker()
     nlu = NaturalLanguageUnderstanding()
+    policy = DialoguePolicy()
+    nlg = NaturalLanguageGeneration()
 
     def process_user_input(self, user_input):
         user_frames = self.nlu.text_to_user_frame(user_input)
         dialogue_state = self.dialogue_state_tracker.processUserAct(user_frames)
-
+        system_frames = self.policy.resolve_system_acts(dialogue_state)
-        return ''
+        msg = self.nlg.generate_text(system_frames)
+        return msg

presenter/chatbot_modules/DialoguePolicy.py

@@ -1,9 +1,13 @@
-from model.DialogueState import DialogueState
+from model.SystemActFrame import SystemActFrame
+
+
 class DialoguePolicy:
 
-    def __init__(self):
+    def resolve_system_acts(self, dialogueState):
-        pass
+        system_acts = []
+        for act in dialogueState.currentActs:
+            if "request()" in act.act:
+                if 'imię' in act.parameters:
+                    system_acts.append(SystemActFrame("inform()", ["imię"]))
 
-    def resolveSystemActs(self, dialogueState):
+        return system_acts
-
-        pass

presenter/chatbot_modules/DialogueStateTracker.py

@@ -14,18 +14,4 @@ class DialogueStateTracker:
         """
         self.dialogueState.currentActs = userActsFrame
 
-        if userActsFrame.act == 'hello()':
-            pass
-        elif userActsFrame.act == 'request':
-            pass
-        elif userActsFrame.act == 'inform':
-            pass
-        else:
-            pass
-        return self.dialogueState
-
-    def setDialogueState(self, dialogueState):
-        self.dialogueState = dialogueState
-
-    def getDialogueState(self, dialogueState):
         return self.dialogueState

presenter/chatbot_modules/NaturalLanguageGeneration.py

@@ -1,3 +1,9 @@
 class NaturalLanguageGeneration:
-    def get_frame(self, input_from_user):
+
-        pass
+    def generate_text(self, system_frames):
+        for system_frame in system_frames:
+            if system_frame.act == 'inform()':
+                if 'imię' in system_frame.parameters:
+                    return 'Nazywam się Dia.'
+            else:
+                return 'Nie rozumiem co masz na myśli.'

view/View.py

@@ -5,9 +5,8 @@ def init_chat():
     print('Witamy w systemie elektronicznej rezerwacji Biletów! W czym mogę pomóc?')
     user_input = input()
     result = Presenter().process_user_input(user_input)
-    for r in result:
+    print(result)
-        print(r)
 
 
 if __name__ == "__main__":
-    init_chat()
+    init_chat()