{
"event": "PreToolUse",
"tool_name": "Bash",
"tool_input": {
"command": "cd \/var\/www\/scripts\/pipeline && 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 chunks for doc 12\ncursor = db.execute('SELECT id, content FROM chunks WHERE document_id = 12 LIMIT 3')\nchunks = cursor.fetchall()\ncursor.close()\n\nPROMPT = '''Analysiere den Text. Antworte NUR mit diesem JSON-Format:\n{\\\"statement_form\\\": \\\"assertion\\\", \\\"intent\\\": \\\"explain\\\", \\\"frame\\\": \\\"practical\\\", \\\"is_negated\\\": false, \\\"discourse_role\\\": \\\"thesis\\\"}\n\nText: '''\n\nfor chunk in chunks:\n print(f'Chunk {chunk[\\\"id\\\"]}...')\n try:\n response = ollama.generate(model='mistral', prompt=PROMPT + chunk['content'][:1000], options={'num_predict': 150})\n resp_text = response['response'].strip()\n \n # Extract first JSON object\n match = re.search(r'\\{[^{}]+\\}', resp_text)\n if match:\n sem = json.loads(match.group())\n print(f' -> {sem.get(\\\"statement_form\\\")}, {sem.get(\\\"intent\\\")}, {sem.get(\\\"discourse_role\\\")}')\n \n # Store in DB\n cursor = db.execute('''INSERT INTO chunk_text_semantics \n (chunk_id, statement_form, intent, frame, is_negated, discourse_role, model_used)\n VALUES (%s, %s, %s, %s, %s, %s, %s)\n ON DUPLICATE KEY UPDATE statement_form=VALUES(statement_form), intent=VALUES(intent),\n frame=VALUES(frame), discourse_role=VALUES(discourse_role)''',\n (chunk['id'], sem.get('statement_form','assertion'), sem.get('intent'), sem.get('frame'), \n sem.get('is_negated', False), sem.get('discourse_role'), 'mistral'))\n db.commit()\n cursor.close()\n print(' -> Saved!')\n else:\n print(f' -> No JSON found')\n except Exception as e:\n print(f' -> Error: {e}')\n\nprint()\nprint('Verify stored data:')\ncursor = db.execute('SELECT chunk_id, statement_form, intent, discourse_role FROM chunk_text_semantics LIMIT 5')\nfor row in cursor.fetchall():\n print(f' Chunk {row[\\\"chunk_id\\\"]}: {row[\\\"statement_form\\\"]}, {row[\\\"intent\\\"]}, {row[\\\"discourse_role\\\"]}')\ncursor.close()\n\ndb.disconnect()\n\"",
"timeout": 180000,
"description": "Test semantic analysis with full path"
}
}
{
"tool_response": {
"stdout": "Chunk 41...\n -> explanation, describe, background\n -> Error: 1265 (01000): Data truncated for column 'statement_form' at row 1\nChunk 42...\n -> assertion, explain, thesis\n -> Saved!\nChunk 43...\n -> assertion, explain, thesis\n -> Saved!\n\nVerify stored data:\n Chunk 42: assertion, explain, thesis\n Chunk 43: assertion, explain, thesis",
"stderr": "",
"interrupted": false,
"isImage": false
}
}