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"content": "def analyze_chunks_semantics(document_id, client=None):\n \"\"\"Analyze all chunks of a document for semantics.\"\"\"\n cursor = db.execute(\n \"SELECT id, content FROM chunks WHERE document_id = %s ORDER BY chunk_index\",\n (document_id,)\n )\n chunks = cursor.fetchall()\n cursor.close()\n\n db.log(\"INFO\", f\"Analyzing semantics for {len(chunks)} chunks\")\n\n analyzed = 0\n for chunk in chunks:\n result = analyze_chunk_semantics(chunk[\"id\"], chunk[\"content\"], client)\n if result:\n analyzed += 1\n\n db.log(\"INFO\", f\"Analyzed {analyzed}\/{len(chunks)} chunks for semantics\")\n return analyzed\n\n\nif __name__ == \"__main__\":\n test_text = \"\"\"\n Carl Rogers entwickelte die klientenzentrierte Gesprächstherapie.\n Diese Methode basiert auf Empathie, Kongruenz und bedingungsloser Wertschätzung.\n Sie wird heute weltweit in der Psychotherapie eingesetzt.\n \"\"\"\n\n print(\"Testing entity extraction with Ollama...\")\n entities = extract_entities_ollama(test_text)\n print(f\"Found {len(entities)} entities:\")\n for e in entities:\n print(f\" - {e['name']} ({e['type']})\")\n",
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