add nlu module and code reformat

model/NaturalLanguageUnderstanding.py

@@ -1,3 +0,0 @@
-class NaturalLanguageUnderstanding:
-    pass
-

model/UserActFrame.py

@@ -0,0 +1,15 @@
+class UserActFrame:
+
+    def __init__(self, act, parameters):
+        self.act = act
+        self.parameters = parameters
+
+    def __str__(self):
+        result = ""
+        result += "Act: " + self.act + " Parameters: { "
+        for index, parameter in enumerate(self.parameters):
+            result += parameter
+            if index < len(self.parameters) - 1:
+                result += ', '
+        result += ' }'
+        return result

presenter/Presenter.py

@@ -0,0 +1,9 @@
+from presenter.chatbot_modules.NaturalLanguageUnderstanding import NaturalLanguageUnderstanding
+
+
+class Presenter:
+
+    def process_user_input(self, user_input):
+        nlu = NaturalLanguageUnderstanding()
+        user_frames = nlu.text_to_user_frame(user_input)
+        return ''

presenter/chatbot_modules/NaturalLanguageGeneration.py

@@ -1,4 +1,3 @@
 class NaturalLanguageGeneration:
     def get_frame(self, input_from_user):
         pass
-

presenter/chatbot_modules/NaturalLanguageUnderstanding.py

@@ -0,0 +1,15 @@
+import re
+
+from model.UserActFrame import UserActFrame
+
+
+class NaturalLanguageUnderstanding:
+
+    def __init__(self):
+        self.user_acts = [
+            (r"Cześć(.*)|czesc|Czesc", UserActFrame('hello()', [])),
+            (r"(.*)imię(.*)|Jak masz na imię(.*)", UserActFrame('request()', ['imię']))
+        ]
+
+    def text_to_user_frame(self, text):
+        return [user_act[1] for user_act in self.user_acts if re.match(user_act[0], text)]

view/View.py

@@ -0,0 +1,13 @@
+from presenter.Presenter import Presenter
+
+
+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(r)
+
+
+if __name__ == "__main__":
+    init_chat()