{
"event": "PreToolUse",
"tool_name": "Read",
"tool_input": {
"file_path": "\/opt\/scripts\/pipeline\/pipeline.py",
"offset": 75,
"limit": 25
}
}
{
"tool_response": {
"type": "text",
"file": {
"filePath": "\/opt\/scripts\/pipeline\/pipeline.py",
"content": " progress.add_log(\"Vision-Analyse gestartet...\")\n\n db.log(\"INFO\", f\"Running vision analysis for document {doc_id}\")\n vision_config = {\n \"model\": \"minicpm-v:latest\",\n \"store_images\": True,\n \"detect_images\": True,\n \"detect_charts\": True,\n \"detect_tables\": True,\n }\n vision_result = run_vision_step(doc_id, file_path, vision_config)\n if vision_result[\"success\"]:\n db.log(\"INFO\", f\"Vision: {vision_result['pages_analyzed']}\/{vision_result['pages_total']} pages analyzed\")\n if progress:\n progress.add_log(f\"Vision: {vision_result['pages_analyzed']} Seiten analysiert\")\n else:\n db.log(\"WARNING\", f\"Vision analysis failed: {vision_result.get('error')}\")\n\n # Chunk content\n if progress:\n progress.update_step(\"chunk\")\n progress.add_log(\"Erstelle Chunks...\")\n\n chunks = chunk_by_structure(extraction)\n db.log(\"INFO\", f\"Created {len(chunks)} chunks\")",
"numLines": 25,
"startLine": 75,
"totalLines": 394
}
}
}