Get all available GLBs, then make a csv to categorized them

MakeBodyPartsCSV.py

import csv
import os
import glob

# Define the CSV file path
characterGLBFolder = "C:/Users/BondhanKimbalazani/Documents/ModularCharacter/GLB_Test"
targetFile = "C:/Users/BondhanKimbalazani/Documents/ModularCharacter/ClothingTest-Sheet3.csv"
BodyArray = []
HairArray = []
LegBaseArray = []
LegsUpperArray = []
ShoesArray = []
TorsoBaseArray = []
TorsoUpperArray = []
partsDictionary = {
    "partName" : ["MainBody","Hair","LegBase","LegsUpper","Shoes","TorsoBase","TorsoUpper"],
    "partArray" : [BodyArray, HairArray, LegBaseArray, LegsUpperArray, ShoesArray, TorsoBaseArray, TorsoUpperArray]
}

def getGLBBasedOnPart():
    glbFiles = glob.glob(os.path.join(characterGLBFolder, "*.glb"))
    for glb in glbFiles:
        partName = getPartNameOfCurrentGLB(glb)
        if partName in partsDictionary["partName"]:
            partNameIndex = partsDictionary["partName"].index(partName)
            relatedPartArray = partsDictionary["partArray"][partNameIndex]
            relatedPartArray.append(glb)

def writePartsArrayToCSV(partArrays, partNames, targetFile):
    maxLength = max(len(arr) for arr in partArrays)
    # Pad the arrays with None if they are shorter than maxLength
    paddedArrays = [[item or None for item in arr] + [None] * (maxLength - len(arr)) for arr in partArrays]

    with open(targetFile, 'w', newline='') as file:
        writer = csv.writer(file)
        writer.writerow(partNames)
        writer.writerows(zip(*paddedArrays))

def getPartNameOfCurrentGLB(glb):
    fileName = os.path.basename(glb)
    partName = fileName.split("_")[1]
    return partName

getGLBBasedOnPart()
writePartsArrayToCSV(partsDictionary["partArray"], partsDictionary["partName"], targetFile)