✅ 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/
76 lines
2.2 KiB
Python
76 lines
2.2 KiB
Python
#!/usr/bin/env python3
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"""
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Test script for memory system.
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"""
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import sys
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from pathlib import Path
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# Add parent directory to path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from memory.manager import get_memory_manager
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from memory.schema import MemoryCategory, MemorySource
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def test_memory():
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"""Test memory system."""
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print("=" * 60)
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print("Memory System Test")
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print("=" * 60)
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manager = get_memory_manager()
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# Test storing explicit fact
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print("\n1. Storing explicit fact...")
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entry = manager.store_fact(
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category=MemoryCategory.PREFERENCES,
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key="favorite_color",
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value="blue",
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confidence=1.0,
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source=MemorySource.EXPLICIT
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)
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print(f" ✅ Stored: {entry.category.value}/{entry.key} = {entry.value}")
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# Test storing inferred fact
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print("\n2. Storing inferred fact...")
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entry = manager.store_fact(
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category=MemoryCategory.ROUTINES,
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key="morning_routine",
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value="coffee at 7am",
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confidence=0.8,
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source=MemorySource.INFERRED,
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context="Mentioned in conversation"
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)
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print(f" ✅ Stored: {entry.category.value}/{entry.key} = {entry.value}")
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# Test retrieving fact
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print("\n3. Retrieving fact...")
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fact = manager.get_fact(MemoryCategory.PREFERENCES, "favorite_color")
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if fact:
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print(f" ✅ Retrieved: {fact.key} = {fact.value} (confidence: {fact.confidence})")
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# Test category retrieval
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print("\n4. Getting category facts...")
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facts = manager.get_category_facts(MemoryCategory.PREFERENCES)
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print(f" ✅ Found {len(facts)} facts in preferences category")
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# Test search
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print("\n5. Searching facts...")
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results = manager.search_facts("coffee")
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print(f" ✅ Found {len(results)} facts matching 'coffee'")
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for result in results:
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print(f" - {result.key}: {result.value}")
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# Test prompt formatting
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print("\n6. Formatting for prompt...")
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prompt_text = manager.format_for_prompt()
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print(" ✅ Formatted memory:")
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print(" " + "\n ".join(prompt_text.split("\n")[:10]))
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print("\n" + "=" * 60)
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print("✅ Memory system tests complete!")
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print("=" * 60)
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if __name__ == "__main__":
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test_memory()
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