{
"event": "PreToolUse",
"tool_name": "Bash",
"tool_input": {
"command": "cat << 'PYTHON' | DB_PASSWORD=\"v8mFLmkF2fth_r\" timeout 300 .\/venv\/bin\/python\nimport sys\nsys.path.insert(0, \"\/var\/www\/scripts\/pipeline\")\nfrom db import db\ndb.connect()\n\ndoc_id = 1\n\n# Get all chunks with their entities from document_entities\ncursor = db.execute(\"\"\"\n SELECT de.entity_id, e.name, e.type\n FROM document_entities de\n JOIN entities e ON de.entity_id = e.id\n WHERE de.document_id = %s\n\"\"\", (doc_id,))\ndoc_entities = cursor.fetchall()\ncursor.close()\n\nprint(f\"Linking {len(doc_entities)} entities to chunks...\")\n\n# For each entity, find chunks that contain it\nlinked = 0\nfor ent in doc_entities:\n entity_id = ent['entity_id']\n name = ent['name']\n \n # Find chunks containing this entity name\n cursor = db.execute(\"\"\"\n SELECT id FROM chunks \n WHERE document_id = %s AND content LIKE %s\n \"\"\", (doc_id, f\"%{name}%\"))\n chunks = cursor.fetchall()\n cursor.close()\n \n for chunk in chunks:\n try:\n cursor = db.execute(\n \"INSERT IGNORE INTO chunk_entities (chunk_id, entity_id, relevance) VALUES (%s, %s, 0.8)\",\n (chunk['id'], entity_id)\n )\n db.commit()\n cursor.close()\n linked += 1\n except:\n pass\n\nprint(f\"Created {linked} chunk-entity links\")\n\n# Final stats\ncursor = db.execute(\"SELECT COUNT(*) as cnt FROM chunk_entities\")\nprint(f\"Total chunk_entities: {cursor.fetchone()['cnt']}\")\ncursor.close()\nPYTHON",
"description": "Link entities to chunks"
}
}
{
"tool_response": {
"stdout": "Linking 310 entities to chunks...\nCreated 0 chunk-entity links\nTotal chunk_entities: 0",
"stderr": "",
"interrupted": false,
"isImage": false
}
}