由于前段时间JsdelivrCDN加速的崩盘，博主存在Github上的图片全部访问失败，文章阅读体验极差，于是2022年以后的文章全部采用npm做图床，在此之前的文章由于数量过多并没有替换。再加上之前一直忙着研一阶段的期末考，懒得动博客。幸好这段时间有空，于是写了个python小工具来替换博客中外链图片，具体流程如下：
- 首先，遍历
hexosource_posts文件夹中的全部文章，把里面含有https://cdn.jsdelivr.net/gh的图片全部下载下来，并替换链接为npm的CDN链接。 - 其次，对下载下来的图片做简单的压缩。
- 最后，把压缩后的图片上传npm。
总体流程非常简单，下面是具体实现。
1. 下载并替换图片外链
代码语言：javascript复制import os
import os.path as osp
import shutil as sh
import re
from tqdm.auto import tqdm
import requests
def makedir(root):
if not osp.exists(root):
os.mkdir(root)
def save_img(root,img_url):
path=root img_url.split('/')[-1]
try:
if not osp.exists(path):
s = requests.session()
s.keep_alive = False # 关闭多余连接
r = s.get(img_url) # 你需要的网址
#r=requests.get(img_url)
with open(path,'wb') as f:
f.write(r.content)
f.close()
else:
print(path "文件已存在！")
return 0
except Exception as e:
print(img_url ", 爬取失败！")
return 1
print(img_url "已下载")
return 0
def findimg(line,ori_pre):
try:
img = re.findall(f"({ori_pre}.*?(.jfif|.svg|.webp|.gif|.jpeg|.jpg|.png|.PNG|.JPEG|.JPG))",line)[0][0]
name = img.split('/')[-1]
except Exception as e:
print("已自动忽略：",line)
img,name = None,None
return img,name
def changeurl(ori_root,save_root,down_root,ori_pre,new_pre):
assert ori_pre[-1]=='/' and new_pre[-1]=="/"
if osp.isdir(ori_root):
files = os.listdir(ori_root)
else:
file = osp.basename(ori_root)
ori_root = ori_root.split(file)[0]
files = [file]
makedir(save_root)
makedir(down_root)
for file in tqdm(files):
print("Starting... ",file)
with open(ori_root file,'r',encoding = 'utf-8') as f:
content = f.readlines()
with open(save_root file,'w',encoding='utf-8') as f:
for line in content:
if ori_pre in line:
img,name = findimg(line,ori_pre)
if img!=None:
change = new_pre name
print(line,"==>",line.replace(img,change))
code = save_img(down_root,img)
if code == 0:
line = line.replace(img,change)
f.write(line)
def main():
ori_root = './hexo/source/_posts/'
save_root = './markdown/'
down_root = './download/'
ori_pre = 'https://cdn.jsdelivr.net/gh/'
new_pre = 'https://npm.elemecdn.com/justlovesmile-post@1.0.3/'
changeurl(ori_root,save_root,down_root,ori_pre,new_pre)
if __name__ == "__main__":
main()2. 压缩图片
由第一步已经下载好图片了，这一步需要对图片进行简单的压缩，这里我采用最简单的图片缩放，通过缩小图片来压缩(有损)，需要无损压缩的可以用软件或者其他方法（百度、CSDN）。
from PIL import Image
from glob import glob
import os
from tqdm import tqdm
import shutil
import sys
from itertools import chain
from multiprocessing import Pool
# image_dir = "image_dir"
template_dir = 'template'
output_dir = 'output'
error_dir = 'error'
def clean_dir(dir_name):
if os.path.exists(dir_name):
shutil.rmtree(dir_name)
os.makedirs(dir_name)
else:
os.makedirs(dir_name)
# image_file_list = glob(f"{image_dir}/*")
# image_file_list
def imagesize(filepath):
"""
获得文件的磁盘大小
:param filepath:
:return:
"""
return os.path.getsize(filepath) / 1024
def compress_image(image_path, target_size=500):
raw_image = Image.open(image_path)
temp_image_name = image_path.split(os.sep)[-1]
template_image = os.path.join(template_dir, temp_image_name)
output_image = os.path.join(output_dir, temp_image_name)
error_image = os.path.join(error_dir, temp_image_name)
target_size = target_size # kb
try:
if imagesize(image_path) < target_size:
shutil.copyfile(image_path, output_image)
else:
width, height = raw_image.size
raw_image.resize((int(width * 0.9), int(height * 0.9)), Image.ANTIALIAS).save(template_image)
while imagesize(template_image) > target_size:
template_iamge2 = Image.open(template_image)
width_2, height_2 = template_iamge2.size
template_iamge2.resize((int(width_2 * 0.9), int(height_2 * 0.9)), Image.ANTIALIAS).save(template_image)
shutil.copyfile(template_image, output_image)
except Exception as e:
shutil.copyfile(image_path, error_image)
print(f'文件保存失败: {image_path}')
# print(e)
if __name__ == '__main__':
# 批量创建文件夹
[clean_dir(i) for i in [template_dir, output_dir, error_dir]]
image_dir = input('dir path:')
target_size = int(input('target size (kb):'))
image_file_list = list(chain(*[glob(os.path.join(image_dir, i)) for i in ['*.png', '*.jpg', '*.jpeg']]))
#for temp_image_path in tqdm(image_file_list):
# compress_image(temp_image_path)
print(f'nn文件保存父目录: {os.getcwd()}n'
f'输出文件位置:{os.path.join(os.getcwd(), output_dir)}nn')
# parallel
P = Pool(processes=10)
pbar = tqdm(total=len(image_file_list))
res_temp = [P.apply_async(func=compress_image, args=(i,target_size), callback=lambda _: pbar.update(1)) for i in
image_file_list]
_ = [res.get() for res in res_temp]3. 上传npm
到这一步就很简单了，把之前压缩好的图片放在一个文件夹里，如：
代码语言：javascript复制- mj-img
- 1.jpg
- 2.png
...
- xxx.jpeg之前用过npm的，可以直接在文件夹里打开bash，输入npm init与npm publish.
没有使用过npm的，可以参考Akilar的npm图床使用技巧.
