41cd78207a
- Configure mem0 to use self-hosted Supabase instead of Qdrant for vector storage - Update docker-compose to connect containers to localai network - Install vecs library for Supabase pgvector integration - Create comprehensive test suite for Supabase + mem0 integration - Update documentation to reflect Supabase configuration - All containers now connected to shared localai network - Successful vector storage and retrieval tests completed 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
107 lines
3.7 KiB
Python
107 lines
3.7 KiB
Python
#!/usr/bin/env python3
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"""
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Test mem0 integration with self-hosted Supabase + Ollama
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"""
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import os
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import sys
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from dotenv import load_dotenv
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from mem0 import Memory
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from config import load_config, get_mem0_config
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def test_supabase_ollama_integration():
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"""Test mem0 with Supabase vector store + Ollama"""
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print("🧪 Testing mem0 with Supabase + Ollama integration...")
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# Load configuration
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config = load_config()
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if not config.database.supabase_url or not config.database.supabase_key:
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print("❌ Supabase configuration not found")
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return False
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try:
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# Get mem0 configuration for Ollama
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mem0_config = get_mem0_config(config, "ollama")
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print(f"📋 Configuration: {mem0_config}")
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# Create memory instance
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m = Memory.from_config(mem0_config)
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# Test basic operations
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print("💾 Testing memory addition...")
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messages = [
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{"role": "user", "content": "I love programming in Python and building AI applications"},
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{"role": "assistant", "content": "That's excellent! Python is perfect for AI development with libraries like mem0, Neo4j, and Supabase."}
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]
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result = m.add(messages, user_id="test_user_supabase_ollama")
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print(f"✅ Memory added: {result}")
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print("🔍 Testing memory search...")
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search_results = m.search(query="Python programming AI", user_id="test_user_supabase_ollama")
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print(f"✅ Search results: {search_results}")
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print("📜 Testing memory retrieval...")
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all_memories = m.get_all(user_id="test_user_supabase_ollama")
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print(f"✅ Retrieved {len(all_memories)} memories")
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# Test with different content
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print("💾 Testing additional memory...")
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messages2 = [
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{"role": "user", "content": "I'm working on a memory system using Neo4j for graph storage"},
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{"role": "assistant", "content": "Neo4j is excellent for graph-based memory systems. It allows for complex relationship mapping."}
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]
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result2 = m.add(messages2, user_id="test_user_supabase_ollama")
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print(f"✅ Additional memory added: {result2}")
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# Search for related memories
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print("🔍 Testing semantic search...")
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search_results2 = m.search(query="graph database memory", user_id="test_user_supabase_ollama")
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print(f"✅ Semantic search results: {search_results2}")
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# Cleanup
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print("🧹 Cleaning up test data...")
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all_memories_final = m.get_all(user_id="test_user_supabase_ollama")
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for memory in all_memories_final:
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if 'id' in memory:
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m.delete(memory_id=memory['id'])
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print("✅ Supabase + Ollama integration test successful!")
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return True
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except Exception as e:
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print(f"❌ Supabase + Ollama integration test failed: {e}")
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import traceback
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traceback.print_exc()
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return False
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def main():
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"""Main test function"""
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print("=" * 60)
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print("MEM0 + SUPABASE + OLLAMA INTEGRATION TEST")
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print("=" * 60)
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# Load environment
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load_dotenv()
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# Test integration
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success = test_supabase_ollama_integration()
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# Summary
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print("\n" + "=" * 60)
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print("TEST SUMMARY")
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print("=" * 60)
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if success:
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print("✅ PASS mem0 + Supabase + Ollama Integration")
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print("🎉 All integration tests passed!")
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sys.exit(0)
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else:
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print("❌ FAIL mem0 + Supabase + Ollama Integration")
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print("💥 Integration test failed - check configuration")
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sys.exit(1)
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if __name__ == "__main__":
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main() |