{
"event": "PreToolUse",
"tool_name": "Read",
"tool_input": {
"file_path": "\/opt\/scripts\/pipeline\/vision.py",
"offset": 160,
"limit": 20
}
}
{
"tool_response": {
"type": "text",
"file": {
"filePath": "\/opt\/scripts\/pipeline\/vision.py",
"content": " results = []\n\n for page in pages:\n page_num = page[\"page_number\"]\n db.log(\"INFO\", f\"Analyzing page {page_num}\/{len(pages)}\")\n\n # Log every 10 pages or first\/last page to avoid flooding\n if progress and (page_num == 1 or page_num % 10 == 0 or page_num == len(pages)):\n progress.add_log(f\"Vision: Seite {page_num}\/{len(pages)} wird analysiert...\")\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)",
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}