46faa78237
- Complete fact-based memory API with mem0-inspired approach - Individual fact extraction and deduplication - ADD/UPDATE/DELETE memory actions - Precision search with 0.86+ similarity scores - MCP server for Claude Code integration - Neo4j graph relationships and PostgreSQL vector storage - Comprehensive documentation with architecture and API docs - Matrix communication integration - Production-ready Docker setup with Ollama and Supabase 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
82 lines
2.3 KiB
Python
82 lines
2.3 KiB
Python
#!/usr/bin/env python3
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"""
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Debug the fact extraction system
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"""
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import asyncio
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import sys
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import os
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# Add the API directory to the path
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sys.path.insert(0, '/home/klas/langmem-project/src/api')
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from fact_extraction import FactExtractor
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async def debug_fact_extraction():
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"""Debug fact extraction"""
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print("🔍 Debugging Fact Extraction System")
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print("=" * 50)
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# Test content
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test_content = "Ondrej has a son named Cyril who is 8 years old and loves playing soccer. Cyril goes to elementary school in Prague and his favorite color is blue. Ondrej works as a software engineer and lives in Czech Republic."
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print(f"Content to extract facts from:")
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print(f"'{test_content}'")
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print()
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# Create fact extractor
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extractor = FactExtractor()
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print("1. Testing fact extraction...")
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facts = await extractor.extract_facts(test_content)
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print(f"Extracted {len(facts)} facts:")
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for i, fact in enumerate(facts, 1):
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print(f" {i}. {fact}")
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if not facts:
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print("❌ No facts extracted - there might be an issue with the extraction system")
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return False
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else:
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print("✅ Fact extraction working!")
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print()
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# Test memory action determination
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print("2. Testing memory action determination...")
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existing_memories = [
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{
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"id": "test-memory-1",
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"content": "Ondrej has a son named Cyril",
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"similarity": 0.8
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}
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]
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new_fact = "Ondrej has a son named Cyril who is 8 years old"
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action_data = await extractor.determine_memory_action(new_fact, existing_memories)
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print(f"New fact: '{new_fact}'")
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print(f"Action: {action_data.get('action', 'unknown')}")
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print(f"Reason: {action_data.get('reason', 'no reason')}")
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return True
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async def main():
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"""Main function"""
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try:
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success = await debug_fact_extraction()
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if success:
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print("\n🎉 Fact extraction debugging complete!")
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else:
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print("\n❌ Fact extraction has issues that need to be fixed.")
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except Exception as e:
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print(f"❌ Error during debugging: {e}")
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import traceback
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traceback.print_exc()
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if __name__ == "__main__":
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asyncio.run(main()) |