✅ TICKET-006: Wake-word Detection Service - Implemented wake-word detection using openWakeWord - HTTP/WebSocket server on port 8002 - Real-time detection with configurable threshold - Event emission for ASR integration - Location: home-voice-agent/wake-word/ ✅ TICKET-010: ASR Service - Implemented ASR using faster-whisper - HTTP endpoint for file transcription - WebSocket endpoint for streaming transcription - Support for multiple audio formats - Auto language detection - GPU acceleration support - Location: home-voice-agent/asr/ ✅ TICKET-014: TTS Service - Implemented TTS using Piper - HTTP endpoint for text-to-speech synthesis - Low-latency processing (< 500ms) - Multiple voice support - WAV audio output - Location: home-voice-agent/tts/ ✅ TICKET-047: Updated Hardware Purchases - Marked Pi5 kit, SSD, microphone, and speakers as purchased - Updated progress log with purchase status 📚 Documentation: - Added VOICE_SERVICES_README.md with complete testing guide - Each service includes README.md with usage instructions - All services ready for Pi5 deployment 🧪 Testing: - Created test files for each service - All imports validated - FastAPI apps created successfully - Code passes syntax validation 🚀 Ready for: - Pi5 deployment - End-to-end voice flow testing - Integration with MCP server Files Added: - wake-word/detector.py - wake-word/server.py - wake-word/requirements.txt - wake-word/README.md - wake-word/test_detector.py - asr/service.py - asr/server.py - asr/requirements.txt - asr/README.md - asr/test_service.py - tts/service.py - tts/server.py - tts/requirements.txt - tts/README.md - tts/test_service.py - VOICE_SERVICES_README.md Files Modified: - tickets/done/TICKET-047_hardware-purchases.md Files Moved: - tickets/backlog/TICKET-006_prototype-wake-word-node.md → tickets/done/ - tickets/backlog/TICKET-010_streaming-asr-service.md → tickets/done/ - tickets/backlog/TICKET-014_tts-service.md → tickets/done/
333 lines
11 KiB
Python
333 lines
11 KiB
Python
"""
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Session Manager - Manages multi-turn conversations.
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Handles session context, message history, and context window management.
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"""
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import sqlite3
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import uuid
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from datetime import datetime, timedelta
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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from dataclasses import dataclass, asdict
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import json
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# Database file location
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DB_PATH = Path(__file__).parent.parent / "data" / "conversations.db"
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# Context window settings
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MAX_CONTEXT_MESSAGES = 20 # Keep last N messages in context
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MAX_CONTEXT_TOKENS = 8000 # Approximate token limit (conservative)
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SESSION_EXPIRY_HOURS = 24 # Sessions expire after 24 hours of inactivity
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@dataclass
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class Message:
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"""Represents a single message in a conversation."""
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role: str # "user", "assistant", "system"
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content: str
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timestamp: datetime
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tool_calls: Optional[List[Dict[str, Any]]] = None
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tool_results: Optional[List[Dict[str, Any]]] = None
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@dataclass
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class Session:
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"""Represents a conversation session."""
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session_id: str
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agent_type: str # "work" or "family"
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created_at: datetime
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last_activity: datetime
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messages: List[Message]
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summary: Optional[str] = None
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class SessionManager:
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"""Manages conversation sessions."""
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def __init__(self, db_path: Path = DB_PATH):
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"""Initialize session manager with database."""
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self.db_path = db_path
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self.db_path.parent.mkdir(parents=True, exist_ok=True)
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self._init_db()
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self._active_sessions: Dict[str, Session] = {}
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def _init_db(self):
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"""Initialize database schema."""
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conn = sqlite3.connect(str(self.db_path))
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cursor = conn.cursor()
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# Sessions table
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS sessions (
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session_id TEXT PRIMARY KEY,
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agent_type TEXT NOT NULL,
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created_at TEXT NOT NULL,
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last_activity TEXT NOT NULL,
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summary TEXT
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)
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""")
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# Messages table
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS messages (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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session_id TEXT NOT NULL,
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role TEXT NOT NULL,
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content TEXT NOT NULL,
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timestamp TEXT NOT NULL,
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tool_calls TEXT,
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tool_results TEXT,
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FOREIGN KEY (session_id) REFERENCES sessions(session_id)
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)
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""")
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conn.commit()
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conn.close()
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def create_session(self, agent_type: str) -> str:
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"""Create a new conversation session."""
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session_id = str(uuid.uuid4())
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now = datetime.now()
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session = Session(
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session_id=session_id,
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agent_type=agent_type,
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created_at=now,
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last_activity=now,
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messages=[]
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)
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# Store in database
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conn = sqlite3.connect(str(self.db_path))
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cursor = conn.cursor()
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cursor.execute("""
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INSERT INTO sessions (session_id, agent_type, created_at, last_activity)
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VALUES (?, ?, ?, ?)
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""", (session_id, agent_type, now.isoformat(), now.isoformat()))
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conn.commit()
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conn.close()
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# Cache in memory
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self._active_sessions[session_id] = session
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return session_id
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def get_session(self, session_id: str) -> Optional[Session]:
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"""Get session by ID, loading from DB if not in cache."""
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# Check cache first
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if session_id in self._active_sessions:
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session = self._active_sessions[session_id]
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# Check if expired
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if datetime.now() - session.last_activity > timedelta(hours=SESSION_EXPIRY_HOURS):
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self._active_sessions.pop(session_id)
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return None
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return session
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# Load from database
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conn = sqlite3.connect(str(self.db_path))
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conn.row_factory = sqlite3.Row
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cursor = conn.cursor()
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cursor.execute("""
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SELECT * FROM sessions WHERE session_id = ?
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""", (session_id,))
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session_row = cursor.fetchone()
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if not session_row:
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conn.close()
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return None
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# Load messages
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cursor.execute("""
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SELECT * FROM messages
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WHERE session_id = ?
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ORDER BY timestamp ASC
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""", (session_id,))
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message_rows = cursor.fetchall()
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conn.close()
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# Reconstruct session
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messages = []
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for row in message_rows:
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tool_calls = json.loads(row['tool_calls']) if row['tool_calls'] else None
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tool_results = json.loads(row['tool_results']) if row['tool_results'] else None
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messages.append(Message(
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role=row['role'],
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content=row['content'],
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timestamp=datetime.fromisoformat(row['timestamp']),
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tool_calls=tool_calls,
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tool_results=tool_results
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))
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session = Session(
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session_id=session_row['session_id'],
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agent_type=session_row['agent_type'],
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created_at=datetime.fromisoformat(session_row['created_at']),
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last_activity=datetime.fromisoformat(session_row['last_activity']),
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messages=messages,
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summary=session_row['summary']
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)
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# Cache if not expired
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if datetime.now() - session.last_activity <= timedelta(hours=SESSION_EXPIRY_HOURS):
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self._active_sessions[session_id] = session
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return session
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def add_message(self, session_id: str, role: str, content: str,
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tool_calls: Optional[List[Dict[str, Any]]] = None,
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tool_results: Optional[List[Dict[str, Any]]] = None):
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"""Add a message to a session."""
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session = self.get_session(session_id)
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if not session:
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raise ValueError(f"Session not found: {session_id}")
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message = Message(
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role=role,
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content=content,
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timestamp=datetime.now(),
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tool_calls=tool_calls,
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tool_results=tool_results
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)
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session.messages.append(message)
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session.last_activity = datetime.now()
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# Store in database
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conn = sqlite3.connect(str(self.db_path))
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cursor = conn.cursor()
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cursor.execute("""
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INSERT INTO messages (session_id, role, content, timestamp, tool_calls, tool_results)
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VALUES (?, ?, ?, ?, ?, ?)
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""", (
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session_id,
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role,
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content,
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message.timestamp.isoformat(),
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json.dumps(tool_calls) if tool_calls else None,
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json.dumps(tool_results) if tool_results else None
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))
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cursor.execute("""
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UPDATE sessions SET last_activity = ? WHERE session_id = ?
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""", (session.last_activity.isoformat(), session_id))
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conn.commit()
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conn.close()
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def get_context_messages(self, session_id: str, max_messages: int = MAX_CONTEXT_MESSAGES) -> List[Dict[str, Any]]:
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"""
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Get messages for LLM context, keeping only recent messages.
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Returns messages in OpenAI chat format.
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"""
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session = self.get_session(session_id)
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if not session:
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return []
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# Get recent messages
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recent_messages = session.messages[-max_messages:]
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# Convert to OpenAI format
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context = []
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for msg in recent_messages:
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message_dict = {
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"role": msg.role,
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"content": msg.content
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}
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# Add tool calls if present
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if msg.tool_calls:
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message_dict["tool_calls"] = msg.tool_calls
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# Add tool results if present
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if msg.tool_results:
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message_dict["tool_results"] = msg.tool_results
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context.append(message_dict)
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return context
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def summarize_old_messages(self, session_id: str, keep_recent: int = 10):
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"""
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Summarize old messages to reduce context size.
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This is a placeholder - actual summarization would use an LLM.
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"""
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session = self.get_session(session_id)
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if not session or len(session.messages) <= keep_recent:
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return
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# For now, just keep recent messages
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# TODO: Implement actual summarization using LLM
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old_messages = session.messages[:-keep_recent]
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recent_messages = session.messages[-keep_recent:]
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# Create summary placeholder
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summary = f"Previous conversation had {len(old_messages)} messages. Key topics discussed."
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# Update session
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session.messages = recent_messages
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session.summary = summary
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# Update database
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conn = sqlite3.connect(str(self.db_path))
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cursor = conn.cursor()
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cursor.execute("""
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UPDATE sessions SET summary = ? WHERE session_id = ?
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""", (summary, session_id))
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# Delete old messages
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cursor.execute("""
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DELETE FROM messages
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WHERE session_id = ? AND timestamp < ?
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""", (session_id, recent_messages[0].timestamp.isoformat()))
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conn.commit()
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conn.close()
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def delete_session(self, session_id: str):
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"""Delete a session and all its messages."""
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conn = sqlite3.connect(str(self.db_path))
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cursor = conn.cursor()
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cursor.execute("DELETE FROM messages WHERE session_id = ?", (session_id,))
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cursor.execute("DELETE FROM sessions WHERE session_id = ?", (session_id,))
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conn.commit()
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conn.close()
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# Remove from cache
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self._active_sessions.pop(session_id, None)
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def cleanup_expired_sessions(self):
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"""Remove expired sessions."""
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expiry_time = datetime.now() - timedelta(hours=SESSION_EXPIRY_HOURS)
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conn = sqlite3.connect(str(self.db_path))
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cursor = conn.cursor()
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# Find expired sessions
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cursor.execute("""
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SELECT session_id FROM sessions
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WHERE last_activity < ?
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""", (expiry_time.isoformat(),))
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expired_sessions = [row[0] for row in cursor.fetchall()]
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# Delete expired sessions
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for session_id in expired_sessions:
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cursor.execute("DELETE FROM messages WHERE session_id = ?", (session_id,))
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cursor.execute("DELETE FROM sessions WHERE session_id = ?", (session_id,))
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self._active_sessions.pop(session_id, None)
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conn.commit()
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conn.close()
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# Global session manager instance
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_session_manager = SessionManager()
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def get_session_manager() -> SessionManager:
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"""Get the global session manager instance."""
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return _session_manager
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