Configuration: - .env.example, .gitignore, compose.yml (main docker compose) - docker-compose-amd.yml (ROCm), docker-compose-macos.yml - start.sh, stop.sh convenience scripts - LICENSE (Apache 2.0, from upstream Cheshire Cat) Memory management utilities: - analyze_consolidation.py, manual_consolidation.py, verify_consolidation.py - check_memories.py, extract_declarative_facts.py, store_declarative_facts.py - compare_systems.py (system comparison tool) - benchmark_cat.py, streaming_benchmark.py, streaming_benchmark_v2.py Test suite: - quick_test.py, test_setup.py, test_setup_simple.py - test_consolidation_direct.py, test_declarative_recall.py, test_recall.py - test_end_to_end.py, test_full_pipeline.py - test_phase2.py, test_phase2_comprehensive.py Documentation: - README.md, QUICK_START.txt, TEST_README.md, SETUP_COMPLETE.md - PHASE2_IMPLEMENTATION_NOTES.md, PHASE2_TEST_RESULTS.md - POST_OPTIMIZATION_ANALYSIS.md
31 lines
794 B
Python
31 lines
794 B
Python
#!/usr/bin/env python3
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"""Check what memories exist in Qdrant and their metadata"""
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from qdrant_client import QdrantClient
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QDRANT_HOST = "localhost"
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QDRANT_PORT = 6333
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COLLECTION_NAME = "episodic"
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client = QdrantClient(host=QDRANT_HOST, port=QDRANT_PORT, timeout=10, prefer_grpc=False)
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print("=" * 70)
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print("MEMORY INSPECTION")
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print("=" * 70)
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# Get all memories
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results, next_offset = client.scroll(
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collection_name=COLLECTION_NAME,
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limit=20,
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with_payload=True,
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with_vectors=False
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)
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print(f"\n📊 Total memories found: {len(results)}")
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for i, point in enumerate(results, 1):
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print(f"\n--- Memory {i} ---")
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print(f"ID: {point.id}")
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print(f"Content: {point.payload.get('page_content', '')[:100]}")
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print(f"Metadata: {point.payload.get('metadata', {})}")
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