最近公司有一个新的需求,要把代码进行瘦身,这篇博客记录下如何对图片进行压缩的。算法
原理:
写一个脚本,把图片文件夹'.xcassets'的全部文件遍历出来,而后使用一个第三方的算法把图片压缩后再替换回去app
成果:
3d
因为在该工程中的png图片已经压缩过了,此次只压缩了jgp为后缀的图片,能够看出,仍是有效果的code
代码以下:blog
import os import tinify import shutil tinify.key = '5J54hg59ysAuhHFPxXB*******' source_file = '/Users/user/Desktop/Hotel.xcassets' dest_file = '/Users/user/Desktop/destimages' def getPngFileNames(source_dir): pngDicts = [] for (parent, dirnames, filenames) in os.walk(source_dir): for filename in filenames: if filename.endswith('.jpg'): tempDict = {} tempDict['name'] = filename tempDict['path'] = os.path.join(parent, filename) pngDicts.append(tempDict) return pngDicts def compressImages(uncompress_images): for pngDict in uncompress_images: source = tinify.from_file(pngDict['path']) source.to_file(os.path.join(dest_file, pngDict['name'])) def replace_file(new_path, old_path): pngs = getPngFileNames(source_file) for name in os.listdir(new_path): for pngDict in pngs: if pngDict['name'] == name: shutil.copyfile(os.path.join(new_path, name), pngDict['path']) if __name__ == '__main__': replace_file(dest_file, source_file) # pngs = getPngFileNames(source_file) # compressImages(pngs) print('done')