103 lines
2.3 KiB
JSON
103 lines
2.3 KiB
JSON
{
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"id": "9b6c0b72-3ecc-482d-a240-8ceab861d46e",
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"snapshot": "libreoffice_calc",
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"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.",
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"source": "SheetCopilot@1",
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"config": [
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{
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"type": "download",
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"parameters": {
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"files": [
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{
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"url": "https://drive.google.com/uc?id=1P_8BeCgFJXQwUizF3eFYAeMS4YIw6dmA&export=download",
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"path": "/home/user/BoomerangSales.xlsx"
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}
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]
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}
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},
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{
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"type": "open",
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"parameters": {
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"path": "/home/user/BoomerangSales.xlsx"
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}
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}
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],
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"trajectory": "trajectories/9b6c0b72-3ecc-482d-a240-8ceab861d46e",
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"related_apps": [
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"libreoffice_calc"
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],
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"evaluator": {
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"postconfig": [
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{
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"type": "activate_window",
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"parameters": {
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"window_name": "BoomerangSales.xlsx - LibreOffice Calc",
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"strict": true
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}
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},
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{
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"type": "sleep",
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"parameters": {
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"seconds": 0.5
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}
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},
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{
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"type": "execute",
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"parameters": {
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"command": [
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"python",
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"-c",
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"import pyautogui; pyautogui.hotkey(\"ctrl\", \"s\");"
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]
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}
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},
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{
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"type": "sleep",
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"parameters": {
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"seconds": 0.5
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}
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}
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],
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"func": "compare_table",
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"expected": {
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"type": "cloud_file",
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"path": "https://drive.google.com/uc?id=1Vd6lSKnVk3chk8AxqDn3XwnwkCZCxtyL&export=download",
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"dest": "2_BoomerangSales_gt1.xlsx"
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},
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"result": {
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"type": "vm_file",
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"path": "/home/user/BoomerangSales.xlsx",
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"dest": "BoomerangSales.xlsx"
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},
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"options": {
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"rules": [
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{
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"type": "sheet_data",
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"sheet_idx0": 1,
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"sheet_idx1": "EI1"
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},
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{
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"type": "chart",
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"sheet_idx0": 0,
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"sheet_idx1": "EI0",
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"chart_props": [
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"type",
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"legend",
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"title"
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]
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},
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{
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"type": "pivot_table",
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"sheet_idx0": 0,
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"sheet_idx1": "EI0",
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"pivot_props": [
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"col_fields",
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"filter",
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"row_fields",
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"data_fields"
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]
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}
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]
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}
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}
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} |