python 无损批量压缩图片（支持保留图片信息）的

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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