Merge pull request #24 from WoodyXP/main

First Set of Hardcoded Loadouts according to the unitTypes.ts

scripts/payLoadConverter.py

@@ -0,0 +1,57 @@
+import pandas as pd
+import json
+
+# Load data from an Excel file
+df = pd.read_excel('data.xlsx')
+
+# Group by 'Name', 'Fuel', 'Loadout Name', and 'Roles' and aggregate 'Items - Name' and 'Items - Quantity'
+grouped = df.groupby(['Name', 'Fuel', 'Loadout Name', 'Roles'])['Items - Name', 'Items - Quantity'].agg(lambda x: list(x)).reset_index()
+
+# Convert the grouped data into the desired format
+result = {}
+for index, row in grouped.iterrows():
+    name = row['Name']
+    if name not in result:
+        result[name] = {
+            "name": row['Name'],
+            "label": row['Name'],
+            "loadouts": [
+                {
+                    "fuel": row['Fuel'],
+                    "items": [
+                        {
+                            "name": item,
+                            "quantity": quantity
+                        } for item, quantity in zip(row['Items - Name'], row['Items - Quantity'])
+                    ],
+                    "roles": [row['Roles']],
+                    "loadout_name": row['Loadout Name']
+                }
+            ]
+        }
+    else:
+        loadouts = result[name]["loadouts"]
+        loadout = next((l for l in loadouts if l["loadout_name"] == row['Loadout Name']), None)
+        if loadout:
+            loadout["items"] += [
+                {
+                    "name": item,
+                    "quantity": quantity
+                } for item, quantity in zip(row['Items - Name'], row['Items - Quantity'])
+            ]
+            loadout["roles"].append(row['Roles'])
+        else:
+            result[name]["loadouts"].append({
+                "fuel": row['Fuel'],
+                "items": [
+                    {
+                        "name": item,
+                        "quantity": quantity
+                    } for item, quantity in zip(row['Items - Name'], row['Items - Quantity'])
+                ],
+                "roles": [row['Roles']],
+                "loadout_name": row['Loadout Name']
+            })
+
+# Print the result with the correct indents
+print(json.dumps(result, indent=2))