{
"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''')\nentities = cursor.fetchall()\ncursor.close()\n\nprint(f'Verbleibend: {len(entities)} Entitäten')\n\nsuccess = 0\nfor entity in entities:\n try:\n PROMPT = f'''JSON: {{\\\"semantic_role\\\": \\\"agent\\\", \\\"functional_category\\\": \\\"concept\\\", \\\"context_meaning\\\": \\\"X\\\"}}\nEntität: {entity['name']} ({entity['type']})'''\n\n response = ollama.generate(model='mistral', prompt=PROMPT, options={'num_predict': 100})\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 success += 1\n except:\n pass\n\nprint(f'Analysiert: {success}\/{len(entities)}')\ndb.disconnect()\n\"",
"timeout": 660000,
"description": "Analyze all remaining entities"
}
}
{
"tool_response": {
"stdout": "Verbleibend: 0 Entitäten\nAnalysiert: 0\/0",
"stderr": "",
"interrupted": false,
"isImage": false
}
}