包体积优化-Python筛选项目中的大图

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在包体积中，较大的图片资源会严重影响包的体积，可以通过以下方式进行大图的筛选，进行压缩或者放置远端处理.

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# #coding:utf-8
import glob, os
# import subprocess
# import commands

filesList = []
unsupports = []
# rootPath = '/Users/jinying.zhou.o/Desktop/TestIconOC'
#rootPath = '/Users/jinying.zhou.o/Documents/NIO/FDAppKit'
rootPath = '/Users/jinying.zhou.o/Documents/NIO/NIO/NextevCar'

def get_FileSize(filePath):
	fsize = os.path.getsize(filePath)
	fsize = fsize/float(1024)
	return round(fsize,2)	

#记录所有的图片列表
filesList = []
#记录大图的列表
bigSizeList = []
#记录所有的图片总体积
totalSize = 0.0
#记录大图的size
bigTotalSize = 0.0
for root, dirs, files in os.walk(rootPath):
	for file in files:
		if file.endswith(".png"):
			tempPath =  root + '/' + os.path.join(file)
			tempSize = get_FileSize(tempPath)
			totalSize += tempSize
			tempStr =  tempPath + ' ' + str(tempSize) + "KB"
			#print(tempStr)
			if tempSize > 100:
				bigSizePath =  tempPath + ' ' + str(tempSize) + 'KB'
				bigTotalSize += tempSize
				bigSizeList.append(bigSizePath)

#print filesList	
print("=================================以下为大图===============================")
for bigPath in bigSizeList:
	print(bigPath)
print("项目中图片总大小为"+ str(totalSize) + 'KB')
print("超过100K的图片大小总size为" + str(bigTotalSize) + "KB")