| ORGANIZE REVENUE DATA FOR EXCEL | |
| Your task: Organize the provided revenue data into a JSON file with 5 categories. | |
| CATEGORIES TO CREATE: | |
| 1. Company_Overview - Company details and metadata | |
| 2. Total_Revenue - All total/consolidated revenue figures | |
| 3. Segment_Revenue - Revenue by business segment/division | |
| 4. Regional_Revenue - Revenue by geographic region | |
| 5. Data_Quality - Confidence scores and extraction notes | |
| JSON STRUCTURE: | |
| { | |
| "Category_Name": { | |
| "headers": {"Item": "...", "Value": "...", "Unit": "...", "Period": "...", "Confidence": "..."}, | |
| "data": [{"item": "...", "value": "...", "unit": "...", "period": "...", "confidence": "..."}], | |
| "metadata": {"description": "...", "data_count": "...", "quality_score": "..."} | |
| } | |
| } | |
| STEPS: | |
| 1. Parse the revenue data below | |
| 2. Map each data point to the correct category | |
| 3. Create the JSON structure | |
| 4. save_file('arranged_financial_data.json', json_content) | |
| 5. list_files() to verify the file exists | |
| 6. If file not found, retry save_file() once | |
| RULES: | |
| - Use EXACT values from the input data (no modifications) | |
| - Use EXACT company name, currency, and period from input | |
| - Focus ONLY on revenue data (ignore expenses, assets, etc.) | |
| The revenue data to organize: | |
| {extracted_data} |