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scriptspy/perkscsv.py

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+import pandas as pd
+import csv
+
+# Load the Excel file
+file_path = 'C:/Users/Pierre-Luc/BattleBay_tool/scriptspy/data/weapons_perks.xlsx'
+df = pd.read_excel(file_path, sheet_name='Sheet1')
+
+# Function to split bonus into value and name
+def split_bonus(bonus):
+    if isinstance(bonus, str) and ' ' in bonus:
+        parts = bonus.split(' ', 1)
+        return parts[0], parts[1]
+    return None, None
+
+# Create new columns for 1st bonus and 2nd bonus values and names
+df['1STBONUS_VALUE'], df['1STBONUS_NAME'] = zip(*df['1st Bonus'].map(split_bonus))
+df['2NDBONUS_VALUE'], df['2NDBONUS_NAME'] = zip(*df['2nd Bonus'].map(split_bonus))
+
+# Rename columns to match the specified format
+df.rename(columns={
+    'Rarity': 'RARITY',
+    'Perk': 'PERK_NAME',
+    'Item': 'COMPATIBLE_ITEMS'
+}, inplace=True)
+
+# Select and reorder columns
+output_df = df[['RARITY', '1STBONUS_VALUE', '1STBONUS_NAME', '2NDBONUS_VALUE', '2NDBONUS_NAME', 'PERK_NAME', 'COMPATIBLE_ITEMS']]
+
+# Save the dataframe to a CSV file
+output_file_path = 'C:/Users/Pierre-Luc/BattleBay_tool/scriptspy/data/weapons_perks.csv'
+output_df.to_csv(output_file_path, index=False,  sep=';', quoting=csv.QUOTE_NONE)
+
+output_file_path