程序设计『Programing』

如何绕过微信图片的防盗链

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具体实现原来可以参考这个链接： https://www.zhihu.com/question/35044484

下面给个Django下的实现代码：

@csrf_exempt
def image_proxy(request):
    img = request.GET.get('img')
    headers = {
        'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.108 Safari/537.36',
    }
    status = 0
    try:
        r = requests.get(
            img,
            headers=headers)
    except ConnectionError, ConnectTimeout:
        status = 1
    if status == 1:
        return ''
    response = HttpResponse(r.content, content_type='image/jpeg')
    return response

url.py

url(r'^spider-api/image-proxy/$', image_proxy),

访问方法，url：

http://127.0.0.1:8001/spider-api/image-proxy/?img=https://mmbiz.qpic.cn/mmbiz_png/WliaoSKPrpSPqGrhMmQK8MwKR6AZ7qDDy2JtSxRjk3ZUke41PUGP6RoaibzIgxw8ey5cejb5FzkplhgGd48oOxAg/640
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Max OSX『Max OS』

使用apple script管理进程

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代码如下：

tell application "System Events"
	set listOfProcesses to (name of every process where background only is false)
	tell me to set selectedProcesses to choose from list listOfProcesses with multiple selections allowed
end tell
--The variable `selectedProcesses` will contain the list of selected items.
repeat with processName in selectedProcesses
	do shell script "Killall " & quoted form of processName
end repeat

和系统的活动监视器相比，好处在于只有前台进程。

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程序设计『Programing』

获取网页中所有的文字

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# encoding=utf8
 
import sys
 
reload(sys)
 
sys.setdefaultencoding('utf8')
 
import re
import requests
from bs4 import BeautifulSoup
 
 
html = requests.get('https://mp.weixin.qq.com/s?src=11&timestamp=1533887718&ver=1051&signature=Xszdx5nmmHyebcH0MXxyHi7-jDwGoNDUDXCHJzPVic68tXGRSTiM3CStUDfSR*aALaC3nK3Ez4e33uLR5ir1pLgy3vEvWXWOvVXgAbsXMn5fB-HWboOW26GH*KMRVhgX&new=1')
soup = BeautifulSoup(html.text, "html5lib")
data = soup.findAll(text=True)
 
 
def visible(element):
    if element.parent.name in ['style', 'script', '[document]', 'head', 'title']:
        return False
    elif re.match('<!--.*-->', str(element.encode('utf-8'))):
        return False
    return True
 
 
result = filter(visible, data)
 
with open('res.txt', "w+") as p:
    for i in result:
        print(str(i))
        p.write(str(i))
 
 
print list(result)
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