text: # -*- coding:utf-8 -*-
  
  from requests import get
  from filetype import guess
  from os import rename
  from os import makedirs
  from os.path import exists
  from json import loads
  from contextlib import closing
  
  
  # 文件下载器
  def Down_load(file_url, file_full_name, now_photo_count, all_photo_count):
      headers = {"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"}
  
      # 开始下载图片
      with closing(get(file_url, headers=headers, stream=True)) as response:
          chunk_size = 1024  # 单次请求最大值
          content_size = int(response.headers['content-length'])  # 文件总大小
          data_count = 0 # 当前已传输的大小
          with open(file_full_name, "wb") as file:
              for data in response.iter_content(chunk_size=chunk_size):
                  file.write(data)
                  done_block = int((data_count / content_size) * 50)
                  data_count = data_count + len(data)
                  now_jd = (data_count / content_size) * 100
                  print("\r %s：[%s%s] %d%% %d/%d" % (file_full_name, done_block * '█', ' ' * (50 - 1 - done_block), now_jd, now_photo_count, all_photo_count), end=" ")
  
      # 下载完图片后获取图片扩展名，并为其增加扩展名
      file_type = guess(file_full_name)
      rename(file_full_name, file_full_name + '.' + file_type.extension)
  
  
  
  # 爬取不同类型图片
  def crawler_photo(type_id, photo_count):
  
      # 最新 1, 最热 2, 女生 3, 星空 4
      if(type_id == 1):
          url = 'https://service.paper.meiyuan.in/api/v2/columns/flow/5c68ffb9463b7fbfe72b0db0?page=1&per_page=' + str(photo_count)
      elif(type_id == 2):
          url = 'https://service.paper.meiyuan.in/api/v2/columns/flow/5c69251c9b1c011c41bb97be?page=1&per_page=' + str(photo_count)
      elif(type_id == 3):
          url = 'https://service.paper.meiyuan.in/api/v2/columns/flow/5c81087e6aee28c541eefc26?page=1&per_page=' + str(photo_count)
      elif(type_id == 4):
          url = 'https://service.paper.meiyuan.in/api/v2/columns/flow/5c81f64c96fad8fe211f5367?page=1&per_page=' + str(photo_count)
  
      # 获取图片列表数据
      headers = {"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"}
      respond = get(url, headers=headers)
      photo_data = loads(respond.content)
  
      # 已经下载的图片张数
      now_photo_count = 1
  
      # 所有图片张数
      all_photo_count = len(photo_data)
  
      # 开始下载并保存5K分辨率壁纸
      for photo in photo_data:
  
          # 创建一个文件夹存放我们下载的图片
          if not exists('./' + str(type_id)):
              makedirs('./' + str(type_id))
  
          # 准备下载的图片链接
          file_url = photo['urls']['raw']
  
          # 准备下载的图片名称,不包含扩展名
          file_name_only = file_url.split('/')
          file_name_only = file_name_only[len(file_name_only) -1]
  
          # 准备保存到本地的完整路径
          file_full_name = './' + str(type_id) + '/' + file_name_only
  
          # 开始下载图片
          Down_load(file_url, file_full_name, now_photo_count, all_photo_count)
          now_photo_count = now_photo_count + 1
  
  
  
  if __name__ == '__main__':
  
      # 最新 1, 最热 2, 女生 3, 星空 4
      # 爬取类型为3的图片(女生),一共准备爬取20000张
      wall_paper_id = 1
      wall_paper_count = 10
      while(True):
  
          # 换行符
          print('\n\n')
  
          # 选择壁纸类型
          wall_paper_id = input("壁纸类型：最新壁纸 1, 最热壁纸 2, 女生壁纸 3, 星空壁纸 4\n请输入编号以便选择5K超清壁纸类型：")
          # 判断输入是否正确
          while(wall_paper_id  != str(1) and wall_paper_id  != str(2) and wall_paper_id  != str(3) and wall_paper_id  != str(4)):
              wall_paper_id = input("壁纸类型：最新壁纸 1, 最热壁纸 2, 女生壁纸 3, 星空壁纸 4\n请输入编号以便选择5K超清壁纸类型：")
  
  
          # 选择要下载的壁纸数量
          wall_paper_count = input("请输入要下载的5K超清壁纸的数量：")
          # 判断输入是否正确
          while(int(wall_paper_count) <= 0):
              wall_paper_count = input("请输入要下载的5K超清壁纸的数量：")
  
  
          # 开始爬取5K高清壁纸
          print("正在下载5K超清壁纸，请稍等……")
          crawler_photo(int(wall_paper_id), int(wall_paper_count))
          print('\n下载5K高清壁纸成功!')
  
  
  
  