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/
77 lines
2.9 KiB
Python
77 lines
2.9 KiB
Python
#!/usr/bin/env python3
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"""
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Test script for conversation summarization.
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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.parent))
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from conversation.summarization.summarizer import get_summarizer
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from conversation.summarization.retention import get_retention_manager, RetentionPolicy
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def test_summarization():
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"""Test summarization functionality."""
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print("=" * 60)
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print("Conversation Summarization Test")
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print("=" * 60)
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summarizer = get_summarizer()
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# Test should_summarize
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print("\n1. Testing summarization threshold...")
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should = summarizer.should_summarize(message_count=25, total_tokens=1000)
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print(f" ✅ 25 messages, 1000 tokens: should_summarize = {should} (should be True)")
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should = summarizer.should_summarize(message_count=10, total_tokens=3000)
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print(f" ✅ 10 messages, 3000 tokens: should_summarize = {should} (should be False)")
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should = summarizer.should_summarize(message_count=10, total_tokens=5000)
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print(f" ✅ 10 messages, 5000 tokens: should_summarize = {should} (should be True)")
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# Test summarization
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print("\n2. Testing summarization...")
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messages = [
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{"role": "user", "content": "What time is it?"},
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{"role": "assistant", "content": "It's 3:45 PM EST."},
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{"role": "user", "content": "Add 'buy groceries' to my todo list"},
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{"role": "assistant", "content": "I've added 'buy groceries' to your todo list."},
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{"role": "user", "content": "What's the weather like?"},
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{"role": "assistant", "content": "It's sunny and 72°F in your area."},
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]
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summary = summarizer.summarize(messages, agent_type="family")
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print(f" ✅ Summary created:")
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print(f" Summary: {summary['summary']}")
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print(f" Key points: {len(summary['key_points'])}")
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print(f" Message count: {summary['message_count']}")
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# Test pruning
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print("\n3. Testing message pruning...")
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pruned = summarizer.prune_messages(
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messages,
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keep_recent=3,
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summary=summary
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)
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print(f" ✅ Pruned messages: {len(pruned)} (original: {len(messages)})")
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print(f" First message role: {pruned[0]['role']} (should be 'system' with summary)")
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print(f" Recent messages kept: {len([m for m in pruned if m['role'] != 'system'])}")
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# Test retention
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print("\n4. Testing retention manager...")
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retention = get_retention_manager()
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session_count = retention.get_session_count()
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print(f" ✅ Current session count: {session_count}")
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old_sessions = retention.list_old_sessions()
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print(f" ✅ Old sessions (>{retention.policy.max_age_days} days): {len(old_sessions)}")
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print("\n" + "=" * 60)
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print("✅ Summarization tests complete!")
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print("=" * 60)
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if __name__ == "__main__":
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test_summarization()
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