{
"event": "PreToolUse",
"tool_name": "Read",
"tool_input": {
"file_path": "\/opt\/scripts\/pipeline\/analyze.py",
"offset": 435,
"limit": 30
}
}
{
"tool_response": {
"type": "text",
"file": {
"filePath": "\/opt\/scripts\/pipeline\/analyze.py",
"content": " db.log(\"INFO\", f\"Classified into {len(taxonomy.get('categories', []))} categories\")\n if progress:\n progress.add_log(f\"Analyse: {len(taxonomy.get('categories', []))} Kategorien zugewiesen\")\n\n # Store taxonomy assignments\n for category in taxonomy.get(\"categories\", []):\n try:\n cursor = db.execute(\"SELECT id FROM taxonomy_terms WHERE name = %s LIMIT 1\", (category,))\n term = cursor.fetchone()\n cursor.close()\n\n if term:\n cursor = db.execute(\n \"\"\"INSERT IGNORE INTO document_taxonomy\n (document_id, taxonomy_term_id, confidence, created_at)\n VALUES (%s, %s, %s, NOW())\"\"\",\n (document_id, term[\"id\"], taxonomy.get(\"confidence\", 0.5)),\n )\n db.commit()\n cursor.close()\n except Exception as e:\n db.log(\"WARNING\", f\"Failed to store taxonomy: {e}\")\n\n # Link entities to chunks\n chunk_entity_links = 0\n if entities:\n chunk_entity_links = link_chunk_entities(document_id)\n db.log(\"INFO\", f\"Created {chunk_entity_links} chunk-entity links\")\n\n # Analyze chunk semantics",
"numLines": 30,
"startLine": 435,
"totalLines": 668
}
}
}