Protokoll #11623

{
    "event": "PreToolUse",
    "tool_name": "Read",
    "tool_input": {
        "file_path": "\/opt\/scripts\/pipeline\/generate.py",
        "offset": 900,
        "limit": 80
    }
}

{
    "tool_response": {
        "type": "text",
        "file": {
            "filePath": "\/opt\/scripts\/pipeline\/generate.py",
            "content": "        prompt_template = get_prompt(\"content-revise\")\n        if prompt_template:\n            prompt = prompt_template.format(\n                content=content_text, feedback=feedback_text, html_instruction=html_instruction\n            )\n        else:\n            # Fallback if prompt not in DB\n            prompt = f\"\"\"Du bist ein professioneller Content-Editor. Überarbeite den folgenden Text basierend auf dem Feedback der Kritiker.\n\n## Originaler Text:\n{content_text}\n\n## Feedback der Kritiker:\n{feedback_text}\n\n## Anweisungen:\n1. Behebe alle genannten Probleme\n2. Setze die Verbesserungsvorschläge um\n3. Behalte den Grundton und Stil bei\n4. Achte auf eine kohärente Überarbeitung\n{html_instruction}\n\nErstelle nun die überarbeitete Version:\"\"\"\n\n        # Generate revision\n        update_order_status(version[\"order_id\"], \"generating\")\n        revised_content = call_llm(prompt, model, client_name=\"content-studio-revise\")\n\n        # Save new version\n        new_version_number = version[\"version_number\"] + 1\n        new_version_id = save_version(version[\"order_id\"], revised_content, new_version_number)\n\n        # Update status\n        update_order_status(version[\"order_id\"], \"critique\")\n\n        return {\n            \"success\": True,\n            \"order_id\": version[\"order_id\"],\n            \"version_id\": new_version_id,\n            \"version_number\": new_version_number,\n            \"content\": revised_content,\n        }\n\n    except Exception as e:\n        return {\"error\": str(e)}\n    finally:\n        db.disconnect()\n\n\nif __name__ == \"__main__\":\n    import sys\n\n    if len(sys.argv) < 3:\n        print(\"Usage: python generate.py <command> <id> [options]\")\n        print(\"Commands: generate, critique, revise\")\n        sys.exit(1)\n\n    command = sys.argv[1]\n    entity_id = int(sys.argv[2])\n    model = sys.argv[3] if len(sys.argv) > 3 else \"anthropic\"\n\n    if command == \"generate\":\n        result = generate_content(entity_id, model=model)\n    elif command == \"critique\":\n        result = run_critique_round(entity_id, model=model)\n    elif command == \"revise\":\n        result = revise_content(entity_id, model=model)\n    else:\n        print(f\"Unknown command: {command}\")\n        sys.exit(1)\n\n    print(json.dumps(result, ensure_ascii=False, indent=2))\n",
            "numLines": 73,
            "startLine": 900,
            "totalLines": 972
        }
    }
}