✅ 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/
90 lines
2.4 KiB
Python
90 lines
2.4 KiB
Python
#!/usr/bin/env python3
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"""
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Test script for monitoring module.
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"""
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import sys
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import time
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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 monitoring.logger import get_llm_logger
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from monitoring.metrics import get_metrics_collector
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def test_logging():
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"""Test logging functionality."""
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print("=" * 60)
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print("Monitoring Test")
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print("=" * 60)
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logger = get_llm_logger()
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collector = get_metrics_collector()
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# Simulate a request
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print("\n1. Logging a request...")
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start_time = time.time()
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time.sleep(0.1) # Simulate processing
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end_time = time.time()
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logger.log_request(
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session_id="test-session-123",
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agent_type="family",
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user_id="test-user",
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request_id="test-req-456",
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prompt="What time is it?",
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messages=[
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{"role": "user", "content": "What time is it?"}
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],
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tools_available=18,
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start_time=start_time,
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end_time=end_time,
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response={
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"message": {"content": "It's 3:45 PM EST."},
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"eval_count": 15,
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"prompt_eval_count": 20
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},
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tools_called=["get_current_time"],
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model="phi3:mini-q4_0"
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)
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print(" ✅ Request logged")
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# Record metrics
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print("\n2. Recording metrics...")
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collector.record_request(
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agent_type="family",
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success=True,
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latency_ms=(end_time - start_time) * 1000,
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tokens_in=20,
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tokens_out=15,
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tools_called=1
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)
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print(" ✅ Metrics recorded")
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# Get metrics
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print("\n3. Getting metrics...")
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metrics = collector.get_metrics("family")
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print(f" ✅ Family agent metrics:")
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print(f" Total requests: {metrics['total_requests']}")
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print(f" Average latency: {metrics['average_latency_ms']}ms")
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print(f" Total tokens: {metrics['total_tokens']}")
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# Test error logging
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print("\n4. Logging an error...")
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logger.log_error(
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session_id="test-session-123",
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agent_type="family",
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request_id="test-req-789",
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error="Connection timeout",
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context={"url": "http://localhost:11434"}
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)
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print(" ✅ Error logged")
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print("\n" + "=" * 60)
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print("✅ All monitoring tests passed!")
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print("=" * 60)
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if __name__ == "__main__":
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test_logging()
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