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62 lines
2.2 KiB
Python
62 lines
2.2 KiB
Python
import pandas as pd
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import json
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# Load data from an Excel file
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df = pd.read_excel('data.xlsx')
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# Group by 'Name', 'Fuel', 'Loadout Name', 'Role', and 'Code' and aggregate 'Items - Name' and 'Items - Quantity'
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grouped = df.groupby(['Name', 'Fuel', 'Loadout Name', 'Role', 'Code'])['Items - Name', 'Items - Quantity'].agg(lambda x: list(x)).reset_index()
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# Convert the grouped data into the desired format
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result = {}
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for index, row in grouped.iterrows():
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name = row['Name']
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if name not in result:
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result[name] = {
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"name": row['Name'],
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"label": row['Name'],
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"loadouts": [
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{
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"fuel": row['Fuel'],
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"items": [
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{
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"name": item,
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"quantity": quantity
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} for item, quantity in zip(row['Items - Name'], row['Items - Quantity'])
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],
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"roles": [row['Role']],
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"code": row['Code'],
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"loadout_name": row['Loadout Name']
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}
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]
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}
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else:
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found = False
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for loadout in result[name]["loadouts"]:
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if loadout["fuel"] == row['Fuel'] and loadout["code"] == row['Code'] and loadout["loadout_name"] == row['Loadout Name']:
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loadout["items"].extend([
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{
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"name": item,
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"quantity": quantity
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} for item, quantity in zip(row['Items - Name'], row['Items - Quantity'])
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])
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loadout["roles"].append(row['Role'])
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found = True
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break
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if not found:
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result[name]["loadouts"].append({
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"fuel": row['Fuel'],
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"items": [
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{
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"name": item,
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"quantity": quantity
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} for item, quantity in zip(row['Items - Name'], row['Items - Quantity'])
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],
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"roles": [row['Role']],
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"code": row['Code'],
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"loadout_name": row['Loadout Name']
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})
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# Print the result with the correct indents
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print(json.dumps(result, indent=2))
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