Protokoll #27123

ID27123
Zeitstempel2025-12-28 02:29:00.125856
Clientroot
IP145.224.72.140
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens738 (Input: 579, Output: 159)
Dauer40004 ms
Request-Zeit2025-12-28 02:29:00.125856
Response-Zeit2025-12-28 02:29:40.129828

Request

{
    "event": "PreToolUse",
    "tool_name": "Bash",
    "tool_input": {
        "command": "DB_PASSWORD=\"v8mFLmkF2fth_r\" timeout 600 .\/venv\/bin\/python -c \"\nimport json\nimport re\nimport ollama\nfrom db import db\n\ndb.connect()\n\ncursor = db.execute('''\n    SELECT e.id, e.name, e.type, ce.chunk_id\n    FROM entities e \n    JOIN chunk_entities ce ON e.id = ce.entity_id \n    JOIN chunks c ON ce.chunk_id = c.id \n    LEFT JOIN entity_knowledge_semantics eks ON e.id = eks.entity_id \n    WHERE c.document_id = 12 AND eks.id IS NULL\n    LIMIT 30\n''')\nentities = cursor.fetchall()\ncursor.close()\n\nprint(f'Analysiere {len(entities)} Entitäten...')\n\nsuccess = 0\nfor entity in entities:\n    try:\n        PROMPT = f'''Analysiere. Antworte NUR mit JSON:\n{{\\\"semantic_role\\\": \\\"agent\\\", \\\"functional_category\\\": \\\"concept\\\", \\\"context_meaning\\\": \\\"Bedeutung\\\"}}\n\nEntität: {entity['name']} ({entity['type']})'''\n\n        response = ollama.generate(model='mistral', prompt=PROMPT, options={'num_predict': 120})\n        match = re.search(r'\\{[^{}]+\\}', response['response'])\n        if match:\n            sem = json.loads(match.group())\n            role = sem.get('semantic_role', 'instrument')\n            cat = sem.get('functional_category', 'concept')\n            meaning = str(sem.get('context_meaning', ''))[:300]\n            \n            if role not in ['agent', 'patient', 'instrument', 'location', 'cause', 'effect']:\n                role = 'instrument'\n            if cat not in ['method', 'tool', 'concept', 'actor', 'outcome', 'process']:\n                cat = 'concept'\n            \n            cursor = db.execute('''INSERT INTO entity_knowledge_semantics \n                (entity_id, chunk_id, semantic_role, functional_category, context_meaning, model_used)\n                VALUES (%s, %s, %s, %s, %s, %s)''',\n                (entity['id'], entity['chunk_id'], role, cat, meaning, 'mistral'))\n            db.commit()\n            cursor.close()\n            print(f'✓ {entity[\\\"name\\\"][:25]}')\n            success += 1\n    except Exception as e:\n        print(f'✗ {entity[\\\"name\\\"][:25]}: {str(e)[:30]}')\n\nprint(f'\\\\nFertig: {success}\/{len(entities)}')\ndb.disconnect()\n\"",
        "timeout": 660000,
        "description": "Analyze remaining entities batch 2"
    }
}

Response

{
    "tool_response": {
        "stdout": "Analysiere 30 Entitäten...\n✓ Ausbildung\n✓ Rolle\n✓ Jobbeschreibung\n✓ Kompetenz-DNA\n✓ Koproduktion\n✓ Modul\n✓ Persönlichkeit & Humor\n✓ individuelle Coach-Persön\n✓ Coach-System\n✓ Rolle\n✓ Wertschätzung\n✓ Klienten\n✓ Stärke\n✓ Entschlossenheit\n✓ Wirklichkeitskonstruktion\n✓ Erleben\n✓ Empathie\n✓ Selbstwahrnehmung\n✓ Vertrauensvorschuss\n✓ Wissen um Nichtwissen\n✓ Coach-Systems\n✓ Selbstwahrnehmung\n✓ Koproduktion\n✓ Klienten\n✓ Wertschätzung\n✓ Klienten\n✓ Empathie\n✓ Wissen um Nichtwissen\n✓ Kompetenz-DNA\n✓ Ausbildung\n\nFertig: 30\/30",
        "stderr": "",
        "interrupted": false,
        "isImage": false
    }
}
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