{
"event": "PreToolUse",
"tool_name": "Bash",
"tool_input": {
"command": ".\/venv\/bin\/python -c \"\nfrom extract import extract_sections, save_sections, assign_chunk_sections\nfrom db import db\n\ndb.connect()\n\n# Get document 1's content from chunks\ncursor = db.execute('SELECT id, content, heading_path FROM chunks WHERE document_id = 1 ORDER BY chunk_index LIMIT 3')\nchunks = cursor.fetchall()\ncursor.close()\n\n# Combine content for section extraction\nfull_text = '\\\\n\\\\n'.join(c['content'] for c in chunks)\n\nprint(f'Document 1 has {len(chunks)} chunks (showing first 3)')\nprint(f'Text length: {len(full_text)} chars')\n\n# Extract sections\nsections = extract_sections(1, full_text)\nprint(f'\\\\nFound {len(sections)} sections')\n\nif sections:\n # Save sections\n index_to_id = save_sections(1, sections)\n print(f'Saved sections with IDs: {list(index_to_id.values())}')\n \n # Assign to chunks \n updated = assign_chunk_sections(1, sections, index_to_id)\n print(f'Updated {updated} chunks with section_id')\nelse:\n print('No markdown headings found in PDF content')\n\ndb.disconnect()\n\"",
"description": "Test with real document"
}
}
{
"tool_response": {
"stdout": "Document 1 has 3 chunks (showing first 3)\nText length: 2590 chars\n\nFound 0 sections\nNo markdown headings found in PDF content",
"stderr": "",
"interrupted": false,
"isImage": false
}
}