add python automated data parsing toll in Files/PyDataTool

Author: YuudachiXMMY

Assets/CarsAssetPack/Models/FBX/3.mat

@@ -0,0 +1,84 @@
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Assets/CarsAssetPack/Models/FBX/3.mat.meta

@@ -43,7 +43,7 @@ void Start()
             }
             var columns = lines.Split(",");
             string characterName = columns[0].ToString();
-            int selectedCharacter = int.Parse(columns[1]) - 1;
+            int selectedCharacter = int.Parse(columns[1]);
             string[] funcList = columns[2].Split("/").Select(func => func.Trim().ToLower()).ToArray();
             initializePlayer(characterPrefabs[selectedCharacter], characterName, funcList);
         }

Assets/CarsAssetPack/Models/FBX/Car-1.fbx.meta

@@ -0,0 +1,156 @@
+# #################### Jadyn Wu ##################
+# Thank you for downloading Jadyn Wu's Program
+# I hope you find them useful in your projects
+# If you have any questions, find my contact in
+# my personal website below
+# Cheers!
+#                   JadynWu.com
+# --------------------------------------------------
+# Personal Website: https://jadynwu.com/
+# GitHub: https://github.com/YuudachiXMMY
+# ################################################
+import os, logging
+import numpy as np
+import pandas as pd
+import csv
+
+logging.basicConfig(filename="logs.log", filemode="w", level=logging.DEBUG)
+
+info = """
+#################### Jadyn Wu ##################
+Thank you for downloading Jadyn Wu's Program
+I hope you find them useful in your projects
+If you have any questions, find my contact in
+my personal website below
+Cheers!
+                  JadynWu.com
+--------------------------------------------------
+Personal Website: https://jadynwu.com/
+GitHub: https://github.com/YuudachiXMMY
+################################################
+             """
+print(info)
+logging.info(info)
+
+directory = os.path.abspath(os.path.join(os.path.curdir))
+
+print("Current Working Directory: " + directory)
+logging.info("Current Working Directory: " + directory)
+
+#check if dir exist if not create it
+def check_dir(file_name):
+    directory = os.path.dirname(file_name)
+    if not os.path.exists(directory):
+        os.makedirs(directory)
+    print(directory)
+
+def column_index(df, query_cols):
+    cols = df.columns.values
+    sidx = np.argsort(cols)
+    return sidx[np.searchsorted(cols,query_cols,sorter=sidx)]
+
+def transformToGameData():
+    output_file = directory+'//vehicleGroupData.csv'
+    check_dir(output_file)
+    with open(output_file, 'w', newline='') as file:
+        writer = csv.writer(file)
+
+        writer.writerow(["SN", "Movie", "Protagonist"])
+
+car_color_dict = {
+    "green" : 0,
+    "orange" : 0,
+    "black" : 1,
+    "red" : 2,
+    "blue" : 3,
+    "white" : 4
+}
+
+def addFunctionToData(row):
+    res = ''
+    if row["facial_tag"]:
+        res += 'facerecog/'
+    if row["glasses_tag"]:
+        res += 'glasses/'
+    if row["language_tag"]:
+        res += 'language/'
+    if row["pwd_tag"]:
+        res += 'password/'
+    if row["distance_tag"]:
+        res += 'distance/'
+    if row["male_tag"]:
+        res += 'male/'
+    return res.strip("/")
+
+def parseData(file_name="input.xlsx"):
+    input_df = pd.read_excel(file_name)
+
+    input_df["name_length"] = input_df.iloc[:,6].apply(lambda x: len(x))
+
+    # Cleaning for Data Analysis
+    input_df["avg_facial"] = input_df.iloc[:,10].mean()
+
+    input_df["avg_glasses"] = input_df.iloc[:,11].mean()
+
+    input_df["avg_language"] = input_df.iloc[:,12].mean()
+
+    input_df["avg_pwd"] = input_df.iloc[:,14].mean()
+
+    input_df["avg_distance"] = input_df.iloc[:,15].mean()
+
+    input_df["avg_nameLength"] = input_df["name_length"].mean()
+
+    # Analysis DF
+    avg_df = input_df[["avg_nameLength", "avg_facial", "avg_glasses", "avg_language", "avg_pwd", "avg_distance"]]
+
+    avg_df = avg_df.round(0)
+
+    # Cleaning for Game df
+    input_df["facial_tag"] = input_df["avg_facial"] <= input_df.iloc[:,10]
+
+    input_df["glasses_tag"] = input_df["avg_glasses"] <= input_df.iloc[:,11]
+
+    input_df["language_tag"] = input_df["avg_language"]  <= input_df.iloc[:,12]
+
+    input_df["pwd_tag"] = input_df["avg_pwd"] >= input_df.iloc[:,14]
+
+    input_df["distance_tag"] = input_df["avg_distance"] <= input_df.iloc[:,15]
+
+    input_df["male_tag"] = input_df.iloc[:,13].apply(lambda x: True if x>2 else False)
+
+    input_df['functions'] = input_df.apply(addFunctionToData, axis=1)
+
+    # Game df
+    df = input_df.iloc[:, [6,7, column_index(input_df, ['functions'])[0]]]
+    df.columns = ['name', 'vehicle', 'functions']
+
+    df.iloc[:,1] = df.iloc[:,1].apply(lambda x: car_color_dict[x.lower()])
+
+    return df, avg_df
+
+try:
+    print("Parsing the input.xlsx file...")
+    logging.info("Parsing the input.xlsx file...")
+    df, avg_df = parseData()
+    print("Success!")
+    logging.info("Success!")
+except Exception as e:
+    logging.error('Error at %s', 'division', exc_info=e)
+
+try:
+    print("Saving vehicleGroupData.csv file...")
+    logging.info("Saving vehicleGroupData.csv file...")
+    df.to_csv('vehicleGroupData.csv', sep=',', encoding='utf-8', index=False, header=False)
+    print("Success!")
+    logging.info("Success!")
+except Exception as e:
+    logging.error('Error at %s', 'division', exc_info=e)
+
+try:
+    print("Saving AvgAnalysis.csv file...")
+    logging.info("Saving AvgAnalysis.csv file...")
+    avg_df.iloc[0:1,:].to_csv('AvgAnalysis.csv', sep=',', encoding='utf-8', index=False, header=True)
+    print("Success!")
+    logging.info("Success!")
+except Exception as e:
+    logging.error('Error at %s', 'division', exc_info=e)

Assets/Scripts/Game Manager/LoadCharacter.cs

@@ -0,0 +1,39 @@
+# -*- mode: python ; coding: utf-8 -*-
+
+
+a = Analysis(
+    ['DataTool.py'],
+    pathex=[],
+    binaries=[],
+    datas=[],
+    hiddenimports=[],
+    hookspath=[],
+    hooksconfig={},
+    runtime_hooks=[],
+    excludes=[],
+    noarchive=False,
+    optimize=0,
+)
+pyz = PYZ(a.pure)
+
+exe = EXE(
+    pyz,
+    a.scripts,
+    a.binaries,
+    a.datas,
+    [],
+    name='DataTool',
+    debug=False,
+    bootloader_ignore_signals=False,
+    strip=False,
+    upx=True,
+    upx_exclude=[],
+    runtime_tmpdir=None,
+    console=True,
+    disable_windowed_traceback=False,
+    argv_emulation=False,
+    target_arch=None,
+    codesign_identity=None,
+    entitlements_file=None,
+    icon=['jw.ico'],
+)

Files/DataTool.py

@@ -0,0 +1,40 @@
+#################### Jadyn Wu ##################
+Thank you for downloading Jadyn Wu's Program
+I hope you find them useful in your projects
+If you have any questions, find my contact in
+my personal website below
+Cheers!
+                  JadynWu.com
+--------------------------------------------------
+Personal Website: https://jadynwu.com/
+GitHub: https://github.com/YuudachiXMMY
+################################################
+
+################# Program Specification ##############
+Input file:
+  - input.xlsx
+
+output files:
+  - vehicleGroupData.csv : used for game program
+  - AvgAnalysis.csv : analysis the average information of some data
+
+
+Before RUNNING, please ensrue that:
+  1. The input file is renamed to input.xlsx
+  2. DataTool.exe and input.xlsx are in the SAME folder/directory
+
+
+To RUN:
+  1. Double-Click the DataTool.exe
+
+
+Data format of input.xlsx:
+  - Names must be in column G
+  - Colors must be in column H
+  - Number of Team Members must be in column I
+  - Facial Recognition must be in column K
+  - Glassess must be in column L
+  - Languages must be in column M
+  - Number of People identifying themselve as Male must be in column N
+  - Password must be in column O
+  - Distance must be in column P