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Chart_Stats.py
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# coding=UTF-8
'''
谱面文件的格式为：一个文件夹，里面包含若干个.json格式的谱面文件。
譬如一个谱面文件是这样的格式：
Mobilys\
EZ-311-144.0.json
HD-530-144.0.json
IN-938-144.0.json
Mobilys.png
Mobilys.wav
那么所有.json的文件就是谱面文件。而该程序所做的就是将谱面文件的信息提取并生成一个.csv文件。
execute_files()以AT EZ HD IN LE SP为顺序进行整理。
execute_diffs()以EZ HD IN AT LE SP为顺序进行整理。
'''
import csv
from ctypes import sizeof
import os
import time
import json
import jsonpath
import zipfile
headers = ['Name', 'Difficulty', 'Notes', 'BPM', 'Tap', 'Drag', 'Hold', 'Flick'] # 谱面的基本信息：名字、难度、物量、节拍
diffs = ['EZ', 'HD', 'IN', 'AT', 'LE', 'SP'] # 六大难度
totalStats = [] # 待写入到文件的总数据
def execute_folders(target):
#currentPath = os.getcwd() # 获得脚本所在目录
currentPath = target
for _, dirs, _ in os.walk(currentPath): # 遍历当前目录
for dir in dirs: # 遍历每一个子目录，其实就是访问一个个歌曲文件夹
currentSubPath = os.path.join(currentPath, dir) # 设定子目录
for _, _, files in os.walk(currentSubPath): # 提取该歌曲文件夹内的全部文件
for diff in diffs:
chartData = []
isChart = False
chartData.append(dir)
chartData.append(diff)
for file in files:
if 'fake' in file:
continue
if diff in file and ".json" in file:
isChart = True
dataString = file[3:-5]
dataString = dataString.split('-')
chartData.append(dataString[0])
chartData.append(dataString[1])
'''
以上操作是通过读取文件名的方式获取谱面的物量和初始BPM信息，接下来的部分是获取每个谱面的详细物量
也就是Tap, Drag, Hold, Flick这四种音符各自有多少个
'''
with open(os.path.join(currentSubPath, file), mode="r") as f:
#print("Opening: {0}".format(os.path.join(currentSubPath, file)))
fileRead = f.read()
jsonLoad = json.loads(fileRead)
# 获取谱面物量信息，会形成一个含有 1 2 3 4 这四个数字的列表。这四个数字分别代表上述的四种音符。
types_above = jsonpath.jsonpath(jsonLoad, "$.judgeLineList[*].notesAbove[*].type")
types_below = jsonpath.jsonpath(jsonLoad, "$.judgeLineList[*].notesBelow[*].type")
# print(types_above, types_below)
# 有的谱面没有从判定线地下浮上来的音符，因此结果是False．这个时候再直接与数组相加的话会报错
types = []
if types_above != False:
types += types_above
if types_below != False:
types += types_below
# 该谱面音符信息综述。统计每个音符在列表当中的次数
noteResult = []
for i in range(1, 5):
noteResult.append(str(types.count(i)))
# 如果统计过程中的音符数与从文件当中获取的音符数不相符，就不会再录入
try:
if len(types) != int(dataString[0]):
raise Exception('NoteAmountNotEqual')
chartData = chartData + noteResult
except Exception:
print("ERROR: Note amount not Equal (notes != tap+drag+hold+flik)")
print("错误：四种音符数量的总和不等于谱面总物量！")
f.close()
if isChart:
print(chartData)
totalStats.append(chartData)
#print(totalStats)
with open('result.csv', 'w', newline='', encoding='utf-8') as f:
f_csv = csv.writer(f)
f_csv.writerow(headers)
f_csv.writerows(totalStats)
def execute_zips(target):
#currentPath = os.getcwd()
currentPath = target
for _, _, files in os.walk(currentPath):
for file in files: #打开当前文件夹的zip文件
filePath = currentPath + os.sep + file
if zipfile.is_zipfile(filePath): #检验是不是zip文件
with zipfile.ZipFile(filePath, 'r') as z: #打开zip文件
nameList = z.namelist() #压缩文件内的文件名目录
for diff in diffs: #按照难度进行排序
beatmap_gotten = False #是否得到当前难度的谱面？
for fileInside in nameList: #对每个压缩包内文件进行遍历
fileInsideName = fileInside.replace(nameList[0], '') #将前面的路径删掉
if '.json' not in fileInsideName: #.json不在文件名内，说明不是官方谱面文件
continue
if diff not in fileInsideName: #难度不在文件名内，说明不是谱面文件
continue
if 'fake' in fileInsideName: #fake特殊标记在文件名内，自动忽略
continue
beatmap_gotten = True
chartData = []
chartData.append(file.replace(".zip", '')) #曲名取自zip文件的压缩包名
chartData.append(diff)
dataString = fileInsideName[3:-5]
dataString = dataString.split('-')
chartData.append(dataString[0])
chartData.append(dataString[1])
with z.open(fileInside, mode="r") as f:
#print("Opening: {0}".format(fileInside))
fileRead = f.read().decode('utf-8')
jsonLoad = json.loads(fileRead)
#print(jsonLoad)
# 获取谱面物量信息，会形成一个含有 1 2 3 4 这四个数字的列表。这四个数字分别代表上述的四种音符。
types_above = jsonpath.jsonpath(jsonLoad, "$.judgeLineList[*].notesAbove[*].type")
types_below = jsonpath.jsonpath(jsonLoad, "$.judgeLineList[*].notesBelow[*].type")
# print(types_above, types_below)
# 有的谱面没有从判定线地下浮上来的音符，因此结果是False．这个时候再直接与数组相加的话会报错
types = []
if types_above != False:
types += types_above
if types_below != False:
types += types_below
# 该谱面音符信息综述。统计每个音符在列表当中的次数
noteResult = []
for i in range(1, 5):
noteResult.append(str(types.count(i)))
# 如果统计过程中的音符数与从文件当中获取的音符数不相符，就不会再录入
try:
if len(types) != int(dataString[0]):
raise Exception('NoteAmountNotEqual')
chartData = chartData + noteResult
except Exception:
print("ERROR: Note amount not Equal (notes != tap+drag+hold+flik)")
print("错误：四种音符数量的总和不等于谱面总物量！")
f.close()
if beatmap_gotten:
print(chartData)
totalStats.append(chartData)
z.close()
#print(totalStats)
with open('result.csv', 'w', newline='', encoding='utf-8') as f:
f_csv = csv.writer(f)
f_csv.writerow(headers)
f_csv.writerows(totalStats)
f.close()
if __name__ == "__main__":
#debug__=os.getcwd()
_method = '0'
targetPath = input("Beatmap Path 谱面目录:")
while _method not in ['f', 'F', 'z', 'Z']:
_method = input('''
Please type the method of extracting beatmap files.
"Z" means to load every .zip files, and "F" means to load every folders.
This program is not case-sensitive.
请输入提取谱面文件的方式字：Z代表提取压缩文件，F代表提取文件夹。该操作大小写不敏感。
''')
initTime=time.time()
if _method in ['f', 'F']:
execute_folders(targetPath)
elif _method in ['Z', 'z']:
execute_zips(targetPath)
print("Found {0} beatmaps.".format(len(totalStats)))
print("Running time: {0}".format(time.time()-initTime))