Merge branch 'system-mockup'

.gitignore

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+__pycache__/

system_mockup/acts.py

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+hello_act = 'hello'
+name_request_act = 'request(name)'
+name_response_act = 'inform(name)'
+help_response_act = 'helpresponse'
+unknown_act = 'null'

system_mockup/analizator_jezyka_naturalnego.py

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+import re
+
+from acts import hello_act, name_request_act
+
+hello = ['dzie[ńn] dobry', 'dobry wiecz[oó]r', 'witam', 'witaj', 'siema', 'elo', 'cze[śs][ćc]']
+request_name = ['imi[eę]', 'nazywasz']
+question = ['\?$']
+
+acts = {hello_act: [hello],
+        name_request_act: [request_name, question]}
+        
+def analizator_jezyka_naturalnego(text):
+    text = text_preprocess(text)
+    frame = act_check(text)
+    return frame
+
+def text_preprocess(text):
+    text = text.lower()
+    return text
+
+def act_check(text):
+    frame = []
+    for act, requirements in acts.items():
+        req = [check_synonyms(synonyms, text) for synonyms in requirements]
+        if all(req):
+            frame.append(act)
+    return frame
+
+def check_synonyms(synonyms, text):
+    for expression in synonyms:
+        match = re.search(expression, text)
+        if match:
+            return True
+    return False

system_mockup/generator_jezyka_nautalnego.py

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+import acts as acts
+
+welcome = 'Witaj!'
+prompt = 'Zapytaj mnie o moje imię.'
+resp = 'Nazywam się Dia.'
+unknown = "Nie rozumiem."
+
+def generator_jezyka_nautalnego(frames):
+    for frame in frames:
+        if frame == acts.hello_act:
+            print(welcome, end=" ")
+        elif frame == acts.name_response_act:
+            print(resp, end=" ")
+        elif frame == acts.help_response_act:
+            print(prompt, end=" ")
+        else:
+            print(unknown, end=" ")
+    print()

system_mockup/monitor_stanu_dialogowego.py

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+from acts import hello_act
+
+
+dialogue_state = []
+
+def monitor_stanu_dialogowego(frame):
+    # Some frames can reset the dialogue state, like saying hello.
+    reset_state_if_needed(frame)
+
+    list(map(lambda x: dialogue_state.append(x), frame))
+    return dialogue_state
+
+
+def reset_state_if_needed(frame):
+    if hello_act in frame:
+        dialogue_state.clear()
+

system_mockup/system_dialogowy.py

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+from analizator_jezyka_naturalnego import analizator_jezyka_naturalnego
+from monitor_stanu_dialogowego import monitor_stanu_dialogowego
+from taktyka_dialogu import taktyka_dialogu
+from generator_jezyka_nautalnego import generator_jezyka_nautalnego
+
+def main():
+    running = True
+
+    while running:
+        text = input('>>>')
+        frame = analizator_jezyka_naturalnego(text)
+        state = monitor_stanu_dialogowego(frame)
+        response_frames = taktyka_dialogu(state, frame)
+        generator_jezyka_nautalnego(response_frames)
+
+if __name__ == '__main__':
+    main()

system_mockup/taktyka_dialogu.py

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+from os import stat
+from re import S
+from acts import *
+
+
+def check_condition(state, conditions, type=all):
+    if type(i in state for i in conditions):
+        return True
+
+    return False
+
+
+def taktyka_dialogu(state, frame):
+    if should_respond_gently(frame):
+        return [hello_act, name_response_act]
+    if should_prompt(frame):
+        return [hello_act, help_response_act]
+    if should_respond_cold(frame):
+        return [name_response_act]
+    return [unknown_act]
+
+
+def should_respond_gently(state):
+    return check_condition(state, [hello_act, name_request_act])    
+
+
+def should_prompt(state):
+    return check_condition(state, [hello_act], any)
+
+
+def should_respond_cold(state):
+    return check_condition(state, [name_request_act])