{
	"id": "9b6c0b72-3ecc-482d-a240-8ceab861d46e",
	"snapshot": "libreoffice_calc",
	"instruction": "Help me calculate the revenue for each product in the sales table considering corresponding retail price and discount. Do this in column G titled \"Revenue\". Then create a pivot table in a new sheet to show the sum of revenue for each product sold. Finally, plot a column chart in the new sheet illustrating this pivot table with chart title \"Revenue of each product\" and without legends.",
	"source": "SheetCopilot@1",
	"config": [
		{
			"type": "download",
			"parameters": {
				"files": [
					{
						"url": "https://drive.google.com/uc?id=1P_8BeCgFJXQwUizF3eFYAeMS4YIw6dmA&export=download",
						"path": "/home/user/BoomerangSales.xlsx"
					}
				]
			}
		},
		{
			"type": "open",
			"parameters": {
				"path": "/home/user/BoomerangSales.xlsx"
			}
		}
	],
	"trajectory": "trajectories/9b6c0b72-3ecc-482d-a240-8ceab861d46e",
	"related_apps": [
		"libreoffice_calc"
	],
	"evaluator": {
		"postconfig": [
			{
				"type": "activate_window",
				"parameters": {
					"window_name": "BoomerangSales.xlsx - LibreOffice Calc",
					"strict": true
				}
			},
			{
				"type": "sleep",
				"parameters": {
					"seconds": 0.5
				}
			},
			{
				"type": "execute",
				"parameters": {
					"command": [
						"python",
						"-c",
						"import pyautogui; pyautogui.hotkey(\"ctrl\", \"s\");"
					]
				}
			},
			{
				"type": "sleep",
				"parameters": {
					"seconds": 0.5
				}
			}
		],
		"func": "compare_table",
		"expected": {
			"type": "cloud_file",
			"path": "https://drive.google.com/uc?id=1Vd6lSKnVk3chk8AxqDn3XwnwkCZCxtyL&export=download",
			"dest": "2_BoomerangSales_gt1.xlsx"
		},
		"result": {
			"type": "vm_file",
			"path": "/home/user/BoomerangSales.xlsx",
			"dest": "BoomerangSales.xlsx"
		},
		"options": {
			"rules": [
				{
					"type": "sheet_data",
					"sheet_idx0": 1,
					"sheet_idx1": "EI1"
				},
				{
					"type": "chart",
					"sheet_idx0": 0,
					"sheet_idx1": "EI0",
					"chart_props": [
						"type",
						"legend",
						"title"
					]
				},
				{
					"type": "pivot_table",
					"sheet_idx0": 0,
					"sheet_idx1": "EI0",
					"pivot_props": [
						"col_fields",
						"filter",
						"row_fields",
						"data_fields"
					]
				}
			]
		}
	}
}