{
"event": "PreToolUse",
"tool_name": "Bash",
"tool_input": {
"command": "DB_PASSWORD=\"v8mFLmkF2fth_r\" timeout 120 .\/venv\/bin\/python -c \"\nimport json\nimport re\nimport ollama\nfrom db import db\n\ndb.connect()\n\n# Get one entity\ncursor = db.execute('''\n SELECT e.id, e.name, e.type, ce.chunk_id, LEFT(c.content, 300) as context\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 WHERE e.id = 377\n''')\nentity = cursor.fetchone()\n# Consume any remaining results\nwhile cursor.fetchone():\n pass\ncursor.close()\n\nprint(f'Entity: {entity[\\\"name\\\"]} ({entity[\\\"type\\\"]})')\n\nPROMPT = '''Analysiere diese Entität. Antworte NUR mit JSON:\n{\\\"semantic_role\\\": \\\"agent\\\", \\\"functional_category\\\": \\\"concept\\\", \\\"context_meaning\\\": \\\"Bedeutung\\\"}\n\nEntität: ''' + entity['name'] + ''' (''' + entity['type'] + ''')'''\n\nresponse = ollama.generate(model='mistral', prompt=PROMPT, options={'num_predict': 150})\nresp_text = response['response'].strip()\nprint(f'Response: {resp_text[:200]}')\n\nmatch = re.search(r'\\{[^{}]+\\}', resp_text)\nif match:\n sem = json.loads(match.group())\n print(f'Parsed: {sem}')\n \n role = sem.get('semantic_role', 'agent')\n cat = sem.get('functional_category', 'concept') \n meaning = str(sem.get('context_meaning', ''))[:200]\n \n # Validate\n if role not in ['agent', 'patient', 'instrument', 'location', 'cause', 'effect']:\n role = 'agent'\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'Saved: {entity[\\\"name\\\"]} -> {role}, {cat}')\n\ndb.disconnect()\n\"",
"timeout": 120000,
"description": "Test single entity with fixed cursor"
}
}
{
"tool_response": {
"stdout": "Entity: Coach (ROLE)\nResponse: {\n\"semantic_role\": \"agent\",\n\"functional_category\": \"occupation\",\n\"context_meaning\": \"Eine Person, die eine sportliche oder mentale Entwicklung von anderen Menschen betreut.\"\n}\nParsed: {'semantic_role': 'agent', 'functional_category': 'occupation', 'context_meaning': 'Eine Person, die eine sportliche oder mentale Entwicklung von anderen Menschen betreut.'}\nSaved: Coach -> agent, concept",
"stderr": "",
"interrupted": false,
"isImage": false
}
}