{
"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\n# Get entities without knowledge semantics\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 25\n''')\nentities = cursor.fetchall()\ncursor.close()\n\nprint(f'Analysiere {len(entities)} Entitäten...')\nprint()\n\nsuccess = 0\nerrors = 0\n\nfor entity in entities:\n try:\n PROMPT = f'''Analysiere diese Entität. Antworte NUR mit JSON:\n{{\\\"semantic_role\\\": \\\"agent\\\", \\\"functional_category\\\": \\\"concept\\\", \\\"context_meaning\\\": \\\"Bedeutung\\\"}}\n\nsemantic_role: agent, patient, instrument, location, cause, effect\nfunctional_category: method, tool, concept, actor, outcome, process\n\nEntität: {entity['name']} ({entity['type']})'''\n\n response = ollama.generate(model='mistral', prompt=PROMPT, options={'num_predict': 150})\n resp_text = response['response'].strip()\n \n match = re.search(r'\\{[^{}]+\\}', resp_text)\n if match:\n sem = json.loads(match.group())\n \n role = sem.get('semantic_role', 'instrument')\n cat = sem.get('functional_category', 'concept')\n meaning = str(sem.get('context_meaning', ''))[:300]\n \n # Validate\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 \n print(f'{entity[\\\"name\\\"][:22]:22} | {role:10} | {cat:8} | {meaning[:30]}')\n success += 1\n else:\n print(f'{entity[\\\"name\\\"][:22]:22} | No JSON')\n errors += 1\n except Exception as e:\n print(f'{entity[\\\"name\\\"][:22]:22} | Error: {str(e)[:35]}')\n errors += 1\n\nprint()\nprint(f'Fertig: {success} erfolgreich, {errors} Fehler')\n\ndb.disconnect()\n\"",
"timeout": 660000,
"description": "Analyze all entities with knowledge semantics"
}
}
{
"tool_response": {
"stdout": "Analysiere 25 Entitäten...\n\nCOACH PROFIL | agent | concept | Eine Publikation des Coach-Pro\nnormalen Gespräch | instrument | method | \nBasisverhaltensweisen | agent | concept | Grundlage für die Verhaltenswe\nAnforderungsprofil | instrument | concept | Das Anforderungsprofil für ein\nCoaches | instrument | concept | Demographische Gruppe\nKoproduktion | instrument | concept | Koproduktion refers to the joi\nJOBBESCHREIBUNG | instrument | method | \nBooklets | instrument | concept | \nCoachingwelt | instrument | concept | \nRedundanz | instrument | concept | Redundancy is a situation in w\nVollständigkeit | instrument | concept | Vollständigkeit bedeutet die G\nRichtigkeit | instrument | concept | Rightness or correctness of a \nWichtigkeit | instrument | concept | Bedeutung, Bedeutungsgrad oder\nImpulsgeber | agent | concept | \nKompass | agent | concept | Ein Instrument, das Menschen b\nIdee | instrument | concept | Idea refers to a thought or co\nneue Worte | agent | concept | Bedeutung - Neue Worte bedeute\nneue Gefühle | agent | concept | \nBlickwinkel | instrument | concept | Perspektive\nKOMPETENZ-DNA | instrument | actor | \nBerufen | instrument | process | \nRollen | instrument | actor | \nBeratungskontext | location | concept | \nDNA | instrument | concept | DNA refers to a self-replicati\nGrundhaltungen | instrument | actor | \n\nFertig: 25 erfolgreich, 0 Fehler",
"stderr": "",
"interrupted": false,
"isImage": false
}
}