{
"event": "PreToolUse",
"tool_name": "Bash",
"tool_input": {
"command": ".\/venv\/bin\/python -c \"\nfrom analyzers.relation_extractor import extract_relations\nfrom analyzers.entity_extractor import find_entity_by_name\nfrom db import db\n\ndb.connect()\n\n# Get full text\ncursor = db.execute('SELECT GROUP_CONCAT(content SEPARATOR \\\" \\\") as text FROM chunks WHERE document_id = 1')\ndoc = cursor.fetchone()\ncursor.close()\ntext = doc['text'][:8000]\n\n# Get ALL entities\ncursor = db.execute('SELECT name, type FROM entities')\nentities = [{'name': e['name'], 'type': e['type']} for e in cursor.fetchall()]\ncursor.close()\n\n# Extract relations\nrelations = extract_relations(text, entities[:30])\nprint(f'Extracted {len(relations)} relations:')\n\nfor rel in relations:\n source = find_entity_by_name(rel['source'])\n target = find_entity_by_name(rel['target'])\n s_status = 'FOUND' if source else 'NOT FOUND'\n t_status = 'FOUND' if target else 'NOT FOUND'\n print(f' {rel[\\\"source\\\"]} ({s_status}) --[{rel[\\\"relation\\\"]}]--> {rel[\\\"target\\\"]} ({t_status})')\n\ndb.disconnect()\n\" 2>&1",
"timeout": 120000,
"description": "Debug relation matching"
}
}
{
"tool_response": {
"stdout": "Extracted 4 relations:\n Systemisches Coaching (FOUND) --[BASED_ON]--> Lösungsorientierte Kurztherapie (FOUND)\n Lösungsorientierte Kurztherapie (FOUND) --[DEVELOPED_BY]--> Steve de Shazer (FOUND)\n Lösungsorientierte Kurztherapie (FOUND) --[DEVELOPED_BY]--> Berg (FOUND)\n Abwandlungen (FOUND) --[RELATED_TO]--> spielerische Kreativität (FOUND)",
"stderr": "",
"interrupted": false,
"isImage": false
}
}