✅ 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/
312 lines
9.3 KiB
Python
312 lines
9.3 KiB
Python
"""
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Memory storage using SQLite.
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"""
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import sqlite3
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import json
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import logging
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from pathlib import Path
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from typing import Optional, List
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from datetime import datetime
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from uuid import uuid4
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from memory.schema import MemoryEntry, MemoryCategory, MemorySource
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logger = logging.getLogger(__name__)
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class MemoryStorage:
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"""SQLite storage for memory entries."""
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def __init__(self, db_path: Optional[Path] = None):
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"""
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Initialize memory storage.
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Args:
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db_path: Path to SQLite database. If None, uses default.
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"""
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if db_path is None:
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db_path = Path(__file__).parent.parent / "data" / "memory.db"
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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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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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cursor.execute("""
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CREATE TABLE IF NOT EXISTS memory (
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id TEXT PRIMARY KEY,
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category TEXT NOT NULL,
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key TEXT NOT NULL,
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value TEXT NOT NULL,
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confidence REAL DEFAULT 0.5,
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source TEXT NOT NULL,
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timestamp TEXT NOT NULL,
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last_accessed TEXT,
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access_count INTEGER DEFAULT 0,
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tags TEXT,
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context TEXT,
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UNIQUE(category, key)
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)
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""")
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# Create indexes
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cursor.execute("""
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CREATE INDEX IF NOT EXISTS idx_category_key
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ON memory(category, key)
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""")
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cursor.execute("""
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CREATE INDEX IF NOT EXISTS idx_category
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ON memory(category)
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""")
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cursor.execute("""
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CREATE INDEX IF NOT EXISTS idx_last_accessed
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ON memory(last_accessed)
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""")
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conn.commit()
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conn.close()
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logger.info(f"Memory database initialized at {self.db_path}")
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def store(self, entry: MemoryEntry) -> bool:
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"""
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Store a memory entry.
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Args:
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entry: Memory entry to store
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Returns:
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True if stored successfully
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"""
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conn = sqlite3.connect(str(self.db_path))
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cursor = conn.cursor()
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try:
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cursor.execute("""
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INSERT OR REPLACE INTO memory
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(id, category, key, value, confidence, source, timestamp,
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last_accessed, access_count, tags, context)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""", (
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entry.id,
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entry.category.value,
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entry.key,
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entry.value,
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entry.confidence,
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entry.source.value,
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entry.timestamp.isoformat(),
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entry.last_accessed.isoformat() if entry.last_accessed else None,
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entry.access_count,
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json.dumps(entry.tags),
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entry.context
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))
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conn.commit()
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logger.info(f"Stored memory: {entry.category.value}/{entry.key} = {entry.value}")
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return True
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except Exception as e:
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logger.error(f"Error storing memory: {e}")
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conn.rollback()
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return False
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finally:
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conn.close()
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def get(self, category: MemoryCategory, key: str) -> Optional[MemoryEntry]:
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"""
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Get a memory entry by category and key.
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Args:
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category: Memory category
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key: Memory key
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Returns:
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Memory entry or None
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"""
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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 memory
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WHERE category = ? AND key = ?
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""", (category.value, key))
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row = cursor.fetchone()
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conn.close()
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if row:
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# Update access
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self._update_access(row["id"])
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return self._row_to_entry(row)
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return None
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def get_by_category(self, category: MemoryCategory, limit: Optional[int] = None) -> List[MemoryEntry]:
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"""
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Get all memory entries in a category.
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Args:
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category: Memory category
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limit: Maximum number of entries to return
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Returns:
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List of memory entries
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"""
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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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query = "SELECT * FROM memory WHERE category = ? ORDER BY last_accessed DESC"
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if limit:
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query += f" LIMIT {limit}"
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cursor.execute(query, (category.value,))
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rows = cursor.fetchall()
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conn.close()
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entries = [self._row_to_entry(row) for row in rows]
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# Update access for all
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for entry in entries:
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self._update_access(entry.id)
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return entries
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def search(self, query: str, category: Optional[MemoryCategory] = None, limit: int = 10) -> List[MemoryEntry]:
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"""
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Search memory entries by value or context.
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Args:
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query: Search query
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category: Optional category filter
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limit: Maximum results
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Returns:
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List of matching memory entries
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"""
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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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search_term = f"%{query.lower()}%"
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if category:
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cursor.execute("""
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SELECT * FROM memory
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WHERE category = ?
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AND (LOWER(value) LIKE ? OR LOWER(context) LIKE ?)
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ORDER BY confidence DESC, last_accessed DESC
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LIMIT ?
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""", (category.value, search_term, search_term, limit))
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else:
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cursor.execute("""
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SELECT * FROM memory
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WHERE LOWER(value) LIKE ? OR LOWER(context) LIKE ?
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ORDER BY confidence DESC, last_accessed DESC
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LIMIT ?
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""", (search_term, search_term, limit))
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rows = cursor.fetchall()
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conn.close()
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entries = [self._row_to_entry(row) for row in rows]
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# Update access
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for entry in entries:
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self._update_access(entry.id)
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return entries
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def _update_access(self, entry_id: str):
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"""Update access timestamp and count."""
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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 memory
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SET last_accessed = ?, access_count = access_count + 1
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WHERE id = ?
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""", (datetime.now().isoformat(), entry_id))
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conn.commit()
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conn.close()
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def _row_to_entry(self, row: sqlite3.Row) -> MemoryEntry:
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"""Convert database row to MemoryEntry."""
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tags = json.loads(row["tags"]) if row["tags"] else []
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return MemoryEntry(
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id=row["id"],
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category=MemoryCategory(row["category"]),
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key=row["key"],
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value=row["value"],
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confidence=row["confidence"],
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source=MemorySource(row["source"]),
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timestamp=datetime.fromisoformat(row["timestamp"]),
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last_accessed=datetime.fromisoformat(row["last_accessed"]) if row["last_accessed"] else None,
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access_count=row["access_count"],
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tags=tags,
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context=row["context"]
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)
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def delete(self, entry_id: str) -> bool:
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"""
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Delete a memory entry.
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Args:
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entry_id: Entry ID to delete
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Returns:
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True if deleted successfully
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"""
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conn = sqlite3.connect(str(self.db_path))
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cursor = conn.cursor()
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try:
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cursor.execute("DELETE FROM memory WHERE id = ?", (entry_id,))
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conn.commit()
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logger.info(f"Deleted memory entry: {entry_id}")
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return True
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except Exception as e:
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logger.error(f"Error deleting memory: {e}")
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conn.rollback()
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return False
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finally:
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conn.close()
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def update_confidence(self, entry_id: str, confidence: float) -> bool:
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"""
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Update confidence of a memory entry.
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Args:
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entry_id: Entry ID
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confidence: New confidence value (0.0-1.0)
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Returns:
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True if updated successfully
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"""
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conn = sqlite3.connect(str(self.db_path))
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cursor = conn.cursor()
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try:
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cursor.execute("""
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UPDATE memory
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SET confidence = ?
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WHERE id = ?
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""", (confidence, entry_id))
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conn.commit()
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return True
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except Exception as e:
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logger.error(f"Error updating confidence: {e}")
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conn.rollback()
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return False
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finally:
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conn.close()
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