由于云盘空间有限,照片尺寸也是很大,所以写个Python程序压缩一下照片,腾出一些云盘空间
1、批量压缩照片
新建 photo_compress.py 代码如下
# -*- coding: utf-8 -*- \"\"\"脚本功能说明:使用 tinypng api,一键批量压缩指定文件(夹)所有文件\"\"\" import os import sys from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor # 线程池,进程池 import json import random import requests from you_get import common from shutil import copyfile def get_file_dir(file): \"\"\"获取文件目录通用函数\"\"\" fullpath = os.path.abspath(os.path.realpath(file)) return os.path.dirname(fullpath) def check_suffix(file_path): \"\"\"检查指定文件的后缀是否符合要求\"\"\" file_path_lower = file_path.lower() return (file_path_lower.endswith(\'.png\') or file_path_lower.endswith(\'.jpg\') or file_path_lower.endswith(\'.jpeg\')) def download_tinypng(input_file, url, output_file): file_name = os.path.basename(input_file) arr = file_name.split(\'.\') new_file_name = arr[len(arr) - 2] + \'_compress\' new_output_file = os.path.join(os.path.dirname(output_file), arr[len(arr) - 2] + \'_compress.\' + arr[len(arr) - 1]) print(u\'开始下载文件 :%s\' % new_output_file) # print(os.path.splitext(os.path.basename(output_file))[0]) sys.argv = [\'you-get\', \'-o\', os.path.dirname( output_file), \'-O\', new_file_name, url] common.main() old_size = os.path.getsize(input_file) new_size = os.path.getsize(new_output_file) print(u\'文件保存地址:%s\' % new_output_file) print(u\'压缩后文件大小:%d KB\' % (new_size / 1024)) print(u\'压缩比: %d%%\' % ((old_size - new_size) * 100 / old_size)) def compress_by_tinypng(input_file): if not check_suffix(input_file): print(u\'只支持png\\\\jpg\\\\jepg格式文件:\' + input_file) return file_name = os.path.basename(input_file) arr = file_name.split(\'.\') new_file_name = arr[len(arr) - 2] + \'_compress.\' + arr[len(arr) - 1] output_path = os.path.join(get_file_dir(input_file), \'compress_output\') output_file = os.path.join(output_path, new_file_name) if not os.path.isdir(output_path): os.makedirs(output_path) if (os.path.exists(output_file)): print(\"已存在,跳过压缩\") return try: old_size = os.path.getsize(input_file) print(u\'压缩前文件名:%s文件大小:%d KB\' % (input_file, old_size / 1024)) if (old_size < 1024 * 1024): print(\"已跳过压缩,并直接拷贝文件\") try: copyfile(input_file, output_file) except IOError as e: print(\"Unable to copy file. %s\" % e) return print(\"开始压缩\") shrink_image(input_file) print(u\'文件压缩成功:%s\' % input_file) # download_thread_pool.submit(download_tinypng, source, input_file, output_file) except Exception as e: print(u\'报错了:%s\' % e) def check_path(input_path): \"\"\"如果输入的是文件则直接压缩,如果是文件夹则先遍历\"\"\" if os.path.isfile(input_path): compress_by_tinypng(input_path) elif os.path.isdir(input_path): dirlist = os.walk(input_path) for root, dirs, files in dirlist: if (not (root.endswith(\"\\\\compress_output\") or root.endswith(\"/compress_output\"))): i = 0 for filename in files: i = i + 1 process_pool.submit(compress_by_tinypng, os.path.join( root, filename)) # compress_by_tinypng(os.path.join(root, filename)) else: print(u\'目标文件(夹)不存在,请确认后重试。\') def list_images(path): images = None try: if path: os.chdir(path) full_path = os.getcwd() files = os.listdir(full_path) images = [] for file in files: ext = os.path.splitext(file)[1].lower() if ext in (\'.jpg\', \'.jpeg\', \'.png\'): images.append(os.path.join(full_path, file)) except: pass return images def shrink_image(file_path): print(u\'源文件地址:%s\' % file_path) result = shrink(file_path) if result: output_path = generate_output_path(file_path) url = result[\'output\'][\'url\'] print(u\'下载地址:%s\' % url) download_tinypng(file_path, url, output_path) # download_thread_pool.submit(download_tinypng, file_path, url, output_path) # response = requests.get(url) # with open(output_path, \'wb\') as file: # file.write(response.content) # print(u\'文件保存地址:%s\' % output_path) # print(\'%s %d=>%d(%f)\' % ( # result[\'input\'][\'type\'], # result[\'input\'][\'size\'], # result[\'output\'][\'size\'], # result[\'output\'][\'ratio\'] # )) else: print(\'压缩失败\') def shrink(file_path): url = \'https://tinypng.com/web/shrink\' headers = { \'Cache-Control\': \'no-cache\', \'Content-Type\': \'application/x-www-form-urlencoded\', \'User-Agent\': \'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.83 Safari/537.36 Edg/85.0.564.44\', \'X-Forwarded-For\': get_random_ip() } result = None try: file = open(file_path, \'rb\') response = requests.post(url, headers=headers, data=file) result = json.loads(response.text) except Exception as e: print(u\'报错了:%s\' % e) if file: file.close() if result and result[\'input\'] and result[\'output\']: return result else: return None def generate_output_path(file_path): parent_path = os.path.abspath(os.path.dirname(file_path)) output_path = os.path.join(parent_path, \'compress_output\') if not os.path.isdir(output_path): os.mkdir(output_path) return os.path.join(output_path, os.path.basename(file_path)) def get_random_ip(): ip = [] for i in range(4): ip.append(str(random.randint(0 if i in (2, 3) else 1, 254))) return \'.\'.join(ip) if __name__ == \'__main__\': thread_pool = ThreadPoolExecutor(5) # 定义5个线程执行此任务 download_thread_pool = ThreadPoolExecutor(10) # 定义5个线程执行此任务 process_pool = ProcessPoolExecutor(8) # 定义5个进程 len_param = len(sys.argv) if len_param != 2 and len_param != 3: print(\'请使用: %s [filepath]\' % os.path.basename(sys.argv[0])) else: check_path(sys.argv[1]) input(\"Press <enter> 请耐心等待\\n\")
执行python .\\photo_compress.py F:\\\\test
生成compress_output文件夹,里面就是压缩的文件,但此时的照片没有,拍摄时的时间、位置的信息,所以下面要复制文件信息
若要压缩的文件不全,可以再执行一次压缩(会自动过滤已压缩的照片)
2、批量拷贝照片信息
使用pyexiv2进行文件信息拷贝
pip install pyexiv2 -i https://pypi.tuna.tsinghua.edu.cn/simple
新建 copy_fileinfo.py 代码如下
# -*- coding: utf-8 -*- \"\"\"脚本功能说明:使用 pyexiv2 api,一键批量拷贝指定文件(夹)所有文件信息\"\"\" import os import sys from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor # 线程池,进程池 from pyexiv2 import Image def get_file_dir(file): \"\"\"获取文件目录通用函数\"\"\" fullpath = os.path.abspath(os.path.realpath(file)) return os.path.dirname(fullpath) def check_suffix(file_path): \"\"\"检查指定文件的后缀是否符合要求\"\"\" file_path_lower = file_path.lower() return (file_path_lower.endswith(\'.png\') or file_path_lower.endswith(\'.jpg\') or file_path_lower.endswith(\'.jpeg\')) def copyinfo_by_pyexiv2(input_file): file_name = os.path.basename(input_file) arr = file_name.split(\'.\') new_file_name = arr[len(arr) - 2] + \'_compress.\' + arr[len(arr) - 1] output_path = os.path.join(get_file_dir(input_file), \'compress_output\') output_file = os.path.join(output_path, new_file_name) if not (check_suffix(input_file) or check_suffix(output_file)): print(u\'只支持png\\\\jpg\\\\jepg格式文件:\' + input_file) return if not (os.path.exists(output_file)): print(u\'文件不存在:\' + output_file) return old_size = os.path.getsize(input_file) if (old_size < 1024 * 1024): print(u\"已跳过拷贝文件信息:\", input_file) return # if not os.path.isdir(output_path): # os.makedirs(output_path) try: i = Image(input_file) # 源图片路径 except Exception: i = Image(input_file, \"GB18030\") try: _exif_info = i.read_exif() except Exception: _exif_info = i.read_exif(\"GB18030\") # print(_exif_info) # _iptc_info = i.read_iptc() # print(_iptc_info) # _xmp_info = i.read_xmp() # print(_xmp_info) i.close() try: i2 = Image(output_file) # 拷贝信息图片路径 except Exception: i2 = Image(output_file, \"GB18030\") try: _exif_info2 = i2.read_exif() except Exception: _exif_info2 = i2.read_exif(\"GB18030\") # 方向不拷贝,防止图片旋转 for item in _exif_info: if(\"Exif.Image.Orientation\" != item): if (_exif_info2.get(item) != _exif_info.get(item)): try: i2.modify_exif({item: _exif_info[item]}) except Exception as e: print(e) try: i2.modify_exif({item: _exif_info[item]}, \"GB18030\") except Exception as e: print(e) i2.close() print(u\"拷贝信息完成:\" + input_file) def check_path(input_path): \"\"\"如果输入的是文件则直接压缩,如果是文件夹则先遍历\"\"\" if os.path.isfile(input_path): copyinfo_by_pyexiv2(input_path) elif os.path.isdir(input_path): dirlist = os.walk(input_path) for root, dirs, files in dirlist: if (not (root.endswith(\"\\\\compress_output\") or root.endswith(\"/compress_output\"))): i = 0 for filename in files: i = i + 1 process_pool.submit(copyinfo_by_pyexiv2, os.path.join( root, filename)) else: print(u\'目标文件(夹)不存在,请确认后重试。\') if __name__ == \'__main__\': # thread_pool = ThreadPoolExecutor(10) # 定义5个线程执行此任务 process_pool = ProcessPoolExecutor(8) # 定义5个进程 len_param = len(sys.argv) if len_param != 2: print(\'请使用: %s [filepath]\' % os.path.basename(sys.argv[0])) else: check_path(sys.argv[1]) input(\"Press <enter> 请耐心等待\\n\")
执行python .\\copy_fileinfo.py F:\\\\test
大功告成!图片压缩完毕,信息还没有丢失
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