David Blanc Brioir
636ad6206c
- Add 'summary' field to Chunk collection (vectorized with text2vec) - Migrate from Dynamic index to HNSW + RQ for both Chunk and Summary - Add LLM summarizer module (utils/llm_summarizer.py) - Add migration scripts (migrate_add_summary.py, restore_*.py) - Add summary generation utilities and progress tracking - Add testing and cleaning tools (outils_test_and_cleaning/) - Add comprehensive documentation (ANALYSE_*.md, guides) - Remove obsolete files (linear_config.py, old test files) - Update .gitignore to exclude backups and temp files 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
33 lines
987 B
Python
33 lines
987 B
Python
"""Récupère des exemples de résumés générés."""
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import weaviate
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client = weaviate.connect_to_local()
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chunk_col = client.collections.get('Chunk')
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# Récupérer les 10 premiers chunks avec résumé
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response = chunk_col.query.fetch_objects(limit=100)
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summaries_found = 0
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for obj in response.objects:
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summary = obj.properties.get('summary', '')
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if summary and summary != '':
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text = obj.properties.get('text', '')
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work = obj.properties.get('work', {})
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print("=" * 80)
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print(f"WORK: {work.get('title', 'N/A')} - {work.get('author', 'N/A')}")
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print("=" * 80)
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print(f"\nTEXTE ORIGINAL ({len(text)} chars):")
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print(text[:300] + "..." if len(text) > 300 else text)
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print(f"\nRÉSUMÉ GÉNÉRÉ ({len(summary)} chars):")
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print(summary)
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print("\n")
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summaries_found += 1
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if summaries_found >= 5:
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break
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client.close()
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print(f"\n✓ {summaries_found} exemples affichés")
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