{
"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()\ncursor.close()\n\nprint(f'Entity: {entity}')\nprint()\n\nPROMPT = '''Analysiere diese Entität. Antworte NUR mit JSON:\n{\\\"semantic_role\\\": \\\"agent\\\", \\\"functional_category\\\": \\\"concept\\\", \\\"context_meaning\\\": \\\"Bedeutung\\\"}\n\nEntität: Coach (ROLE)\nKontext: Coaching Profil'''\n\nresponse = ollama.generate(model='mistral', prompt=PROMPT, options={'num_predict': 150})\nresp_text = response['response'].strip()\nprint(f'Response: {resp_text}')\nprint()\n\nmatch = re.search(r'\\{[^{}]+\\}', resp_text)\nif match:\n json_str = match.group()\n print(f'JSON found: {json_str}')\n sem = json.loads(json_str)\n print(f'Parsed: {sem}')\n print(f'semantic_role: {sem.get(\\\"semantic_role\\\")}')\n \n # Try insert\n role = sem.get('semantic_role', 'agent')\n cat = sem.get('functional_category', 'concept')\n meaning = sem.get('context_meaning', 'test')\n \n print(f'Inserting: entity_id=377, chunk_id={entity[\\\"chunk_id\\\"]}, role={role}, cat={cat}')\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 (377, entity['chunk_id'], role, cat, meaning, 'mistral'))\n db.commit()\n cursor.close()\n print('Insert successful!')\n\ndb.disconnect()\n\"",
"timeout": 180000,
"description": "Debug single entity insert"
}
}