NLG

src/service/natural_language_generation.py

@@ -2,7 +2,32 @@ import re
 from service.template_selector import select_template
 import random
       
-# from service.templates import templates
+class NaturalLanguageGeneration:
+    def __init__(self, templates):
+        self.templates = templates
+
+    def generate(self, frame, system_action):
+        # Parsowanie frame
+        act, slots = parse_frame(frame)
+
+        # Wybierz szablon na podstawie system_action
+        template = select_template(system_action['act'], system_action['slots'])
+        if template is None:
+            print(f"Brak szablonu dla act: {system_action['act']} z slotami: {system_action['slots']}")
+            template = random.choice(self.templates["default/template"])
+
+        # Zamień sloty na wartości
+        slot_dict = {}
+        for slot in system_action['slots']:
+            if isinstance(slot['value'], list):
+                slot_dict[slot['name']] = ', '.join(slot['value'])
+            elif isinstance(slot['value'], dict):
+                slot_dict[slot['name']] = ', '.join([f"{k}: {v}" for k, v in slot['value'].items()])
+            else:
+                slot_dict[slot['name']] = slot['value']
+                
+        response = template.format(**slot_dict)
+        return response
 
 def parse_frame(frame):
     if not hasattr(frame, 'act') or not hasattr(frame, 'slots'):
@@ -13,14 +38,13 @@ def parse_frame(frame):
     
     return act, slots
 
-class NaturalLanguageGeneration():
-    def __init__(self, templates):
-        self.templates = templates
 
-    def generate(self, frame):
+class Slot:
-        act, slots = parse_frame(frame)
+    def __init__(self, name, value):
-        template = select_template(act, slots)
+        self.name = name
-        if template == "default/template":
+        self.value = value
-            template = random.choice(self.templates["default/template"])
+
-        slot_dict = {slot['name']: slot['value'] for slot in slots}
+class Frame:
-        return template.format(**slot_dict)
+    def __init__(self, act, slots):
+        self.act = act
+        self.slots = slots