{
"event": "PreToolUse",
"tool_name": "Bash",
"tool_input": {
"command": "grep -A30 \"for page in pages:\" \/opt\/scripts\/pipeline\/vision.py | head -40",
"description": "Check vision loop"
}
}
{
"tool_response": {
"stdout": " for page in pages:\n page_num = page[\"page_number\"]\n db.log(\"INFO\", f\"Analyzing page {page_num}\/{len(pages)}\")\n\n if progress:\n progress.add_log(f\"Vision: Seite {page_num}\/{len(pages)}...\")\n\n # Optional: Save image to disk\n image_path = None\n if store_images:\n filename = f\"{Path(file_path).stem}_page_{page_num:03d}.{IMAGE_FORMAT}\"\n image_path = os.path.join(image_dir, filename)\n with open(image_path, \"wb\") as f:\n f.write(page[\"image_bytes\"])\n\n # Analyze with vision model\n analysis = analyze_image_ollama(page[\"image_bytes\"], model=model)\n\n results.append(\n {\n \"page_number\": page_num,\n \"width\": page[\"width\"],\n \"height\": page[\"height\"],\n \"size_kb\": page[\"size_kb\"],\n \"image_path\": image_path,\n \"analysis\": analysis.get(\"analysis\", \"\") if analysis[\"success\"] else None,\n \"error\": analysis.get(\"error\") if not analysis[\"success\"] else None,\n \"eval_tokens\": analysis.get(\"eval_count\", 0),\n \"eval_duration_ms\": analysis.get(\"eval_duration_ms\", 0),\n }\n )",
"stderr": "",
"interrupted": false,
"isImage": false
}
}