ilia
bdbf09a9ac
✅ 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/
74 lines
2.2 KiB
Python
74 lines
2.2 KiB
Python
#!/usr/bin/env python3
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"""
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Integration test for memory system with MCP tools.
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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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import sys
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sys.path.insert(0, str(Path(__file__).parent.parent / "mcp-server"))
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from tools.memory_tools import StoreMemoryTool, GetMemoryTool, SearchMemoryTool
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def test_integration():
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"""Test memory integration with MCP tools."""
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print("=" * 60)
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print("Memory Integration Test")
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print("=" * 60)
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manager = get_memory_manager()
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# Test storing via tool
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print("\n1. Storing memory via MCP tool...")
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store_tool = StoreMemoryTool()
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result = store_tool.execute({
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"category": "preferences",
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"key": "favorite_food",
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"value": "pizza",
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"confidence": 1.0
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})
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print(f" ✅ Stored via tool: {result['message']}")
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# Test retrieving via manager
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print("\n2. Retrieving via memory manager...")
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fact = manager.get_fact(MemoryCategory.PREFERENCES, "favorite_food")
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if fact:
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print(f" ✅ Retrieved: {fact.key} = {fact.value}")
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# Test retrieving via tool
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print("\n3. Retrieving via MCP tool...")
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get_tool = GetMemoryTool()
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result = get_tool.execute({
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"category": "preferences",
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"key": "favorite_food"
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})
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if result["found"]:
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print(f" ✅ Retrieved via tool: {result['value']}")
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# Test prompt formatting
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print("\n4. Testing prompt formatting...")
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memory_text = manager.format_for_prompt(category=MemoryCategory.PREFERENCES, limit=5)
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print(f" ✅ Formatted memory for prompt:")
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print(" " + "\n ".join(memory_text.split("\n")[:5]))
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# Test search integration
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print("\n5. Testing search integration...")
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search_tool = SearchMemoryTool()
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result = search_tool.execute({
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"query": "pizza",
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"limit": 5
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})
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print(f" ✅ Search found {result['count']} results")
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print("\n" + "=" * 60)
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print("✅ Integration tests complete!")
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print("=" * 60)
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if __name__ == "__main__":
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test_integration()
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