Create dialogue_manager.py

dialogue_manager.py

@@ -0,0 +1,61 @@
+import time
+import uuid
+from dataclasses import dataclass
+from typing import Dict, Any
+
+@dataclass
+class Turn:
+    turn_id: str
+    session_id: str
+    user_id: str
+    timestamp: float
+    raw_input: Dict[str, Any]
+    normalized_input: str = ""
+    postprocessed_output: Dict[str, Any] = None
+    
+    def __post_init__(self):
+        if self.turn_id is None:
+            self.turn_id = str(uuid.uuid4())
+        if self.timestamp is None:
+            self.timestamp = time.time()
+        if self.postprocessed_output is None:
+            self.postprocessed_output = {}
+
+class DialogueManager:
+    def __init__(self, config, persistence, auth, voiceprint, asr):
+        self.config = config
+        self.persistence = persistence
+        self.auth = auth
+        self.voiceprint = voiceprint
+        self.asr = asr
+    
+    def submit_turn(self, session_id, user_id, raw_input):
+        turn = Turn(
+            turn_id=str(uuid.uuid4()),
+            session_id=session_id,
+            user_id=user_id,
+            timestamp=time.time(),
+            raw_input=raw_input,
+            normalized_input=raw_input.get("text", ""),
+            postprocessed_output={"text": self.generate_response(raw_input.get("text", ""))}
+        )
+        
+        # Save turn
+        self.persistence.save_turn(turn)
+        
+        return turn
+    
+    def generate_response(self, text):
+        # Simple mock response
+        if not text.strip():
+            return "I'm here to help. What would you like to know?"
+        
+        # Add some basic responses
+        if "hello" in text.lower():
+            return "Hello! How can I assist you today?"
+        elif "help" in text.lower():
+            return "I'm Hive, your AI tutor. I can help with learning, answer questions, and remember our conversations."
+        elif "thank" in text.lower():
+            return "You're welcome! Is there anything else I can help with?"
+        else:
+            return f"I understand you said: '{text}'. Let me think about how to best help you with that."