时间:2021-05-22
窗外下着小雨,作为单身程序员的我逛着逛着发现一篇好东西,来自知乎 你都用 Python 来做什么?的第一个高亮答案。
到上面去看了看,地址都是明文的,得,赶紧开始吧。
下载流式文件,requests库中请求的stream设为True就可以啦,文档在此。
先找一个视频地址试验一下:
# -*- coding: utf-8 -*-import requests def download_file(url, path): with requests.get(url, stream=True) as r: chunk_size = 1024 content_size = int(r.headers['content-length']) print '下载开始' with open(path, "wb") as f: for chunk in r.iter_content(chunk_size=chunk_size): f.write(chunk) if __name__ == '__main__': url = '就在原帖...' path = '想存哪都行' download_file(url, path)遭遇当头一棒:
AttributeError: __exit__这文档也会骗人的么!
看样子是没有实现上下文需要的__exit__方法。既然只是为了保证要让r最后close以释放连接池,那就使用contextlib的closing特性好了:
# -*- coding: utf-8 -*-import requestsfrom contextlib import closing def download_file(url, path): with closing(requests.get(url, stream=True)) as r: chunk_size = 1024 content_size = int(r.headers['content-length']) print '下载开始' with open(path, "wb") as f: for chunk in r.iter_content(chunk_size=chunk_size): f.write(chunk)程序正常运行了,不过我盯着这文件,怎么大小不见变啊,到底是完成了多少了呢?还是要让下好的内容及时存进硬盘,还能省点内存是不是:
# -*- coding: utf-8 -*-import requestsfrom contextlib import closingimport os def download_file(url, path): with closing(requests.get(url, stream=True)) as r: chunk_size = 1024 content_size = int(r.headers['content-length']) print '下载开始' with open(path, "wb") as f: for chunk in r.iter_content(chunk_size=chunk_size): f.write(chunk) f.flush() os.fsync(f.fileno())文件以肉眼可见的速度在增大,真心疼我的硬盘,还是最后一次写入硬盘吧,程序中记个数就好了:
def download_file(url, path): with closing(requests.get(url, stream=True)) as r: chunk_size = 1024 content_size = int(r.headers['content-length']) print '下载开始' with open(path, "wb") as f: n = 1 for chunk in r.iter_content(chunk_size=chunk_size): loaded = n*1024.0/content_size f.write(chunk) print '已下载{0:%}'.format(loaded) n += 1结果就很直观了:
已下载2.579129%已下载2.581255%已下载2.583382%已下载2.585508%心怀远大理想的我怎么会只满足于这一个呢,写个类一起使用吧:
# -*- coding: utf-8 -*-import requestsfrom contextlib import closingimport time def download_file(url, path): with closing(requests.get(url, stream=True)) as r: chunk_size = 1024*10 content_size = int(r.headers['content-length']) print '下载开始' with open(path, "wb") as f: p = ProgressData(size = content_size, unit='Kb', block=chunk_size) for chunk in r.iter_content(chunk_size=chunk_size): f.write(chunk) p.output() class ProgressData(object): def __init__(self, block,size, unit, file_name='', ): self.file_name = file_name self.block = block/1000.0 self.size = size/1000.0 self.unit = unit self.count = 0 self.start = time.time() def output(self): self.end = time.time() self.count += 1 speed = self.block/(self.end-self.start) if (self.end-self.start)>0 else 0 self.start = time.time() loaded = self.count*self.block progress = round(loaded/self.size, 4) if loaded >= self.size: print u'%s下载完成\r\n'%self.file_name else: print u'{0}下载进度{1:.2f}{2}/{3:.2f}{4} 下载速度{5:.2%} {6:.2f}{7}/s'.\ format(self.file_name, loaded, self.unit,\ self.size, self.unit, progress, speed, self.unit) print '%50s'%('/'*int((1-progress)*50))运行:
看上去舒服多了。
下面要做的就是多线程同时下载了,主线程生产url放入队列,下载线程获取url:
# -*- coding: utf-8 -*-import requestsfrom contextlib import closingimport timeimport Queueimport hashlibimport threadingimport os def download_file(url, path): with closing(requests.get(url, stream=True)) as r: chunk_size = 1024*10 content_size = int(r.headers['content-length']) if os.path.exists(path) and os.path.getsize(path)>=content_size: print '已下载' return print '下载开始' with open(path, "wb") as f: p = ProgressData(size = content_size, unit='Kb', block=chunk_size, file_name=path) for chunk in r.iter_content(chunk_size=chunk_size): f.write(chunk) p.output() class ProgressData(object): def __init__(self, block,size, unit, file_name='', ): self.file_name = file_name self.block = block/1000.0 self.size = size/1000.0 self.unit = unit self.count = 0 self.start = time.time() def output(self): self.end = time.time() self.count += 1 speed = self.block/(self.end-self.start) if (self.end-self.start)>0 else 0 self.start = time.time() loaded = self.count*self.block progress = round(loaded/self.size, 4) if loaded >= self.size: print u'%s下载完成\r\n'%self.file_name else: print u'{0}下载进度{1:.2f}{2}/{3:.2f}{4} {5:.2%} 下载速度{6:.2f}{7}/s'.\ format(self.file_name, loaded, self.unit,\ self.size, self.unit, progress, speed, self.unit) print '%50s'%('/'*int((1-progress)*50)) queue = Queue.Queue() def run(): while True: url = queue.get(timeout=100) if url is None: print u'全下完啦' break h = hashlib.md5() h.update(url) name = h.hexdigest() path = 'e:/download/' + name + '.mp4' download_file(url, path) def get_url(): queue.put(None)if __name__ == '__main__': get_url() for i in xrange(4): t = threading.Thread(target=run) t.daemon = True t.start()加了重复下载的判断,至于怎么源源不断的生产url,诸位摸索吧,保重身体!
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持。
声明:本页内容来源网络,仅供用户参考;我单位不保证亦不表示资料全面及准确无误,也不保证亦不表示这些资料为最新信息,如因任何原因,本网内容或者用户因倚赖本网内容造成任何损失或损害,我单位将不会负任何法律责任。如涉及版权问题,请提交至online#300.cn邮箱联系删除。
前言之前的一篇文章已经讲过怎样获取链接,怎样获得参数了,详情请看python爬取京东商城普通篇,本文将详细介绍利用python爬虫框架scrapy如何爬取京东商
本文实例讲述了Python实现的爬取小说爬虫功能。分享给大家供大家参考,具体如下:想把顶点小说网上的一篇持续更新的小说下下来,就写了一个简单的爬虫,可以爬取爬取
上一章节中我们实现了对优酷单页面的爬取,简单进行回顾一下,使用HtmlAgilityPack库,对爬虫的爬取一共分为三步爬虫步骤加载页面解析数据保存数据继第一篇
在之前写过一篇使用python爬虫爬取电影天堂资源的文章,重点是如何解析页面和提高爬虫的效率。由于电影天堂上的资源获取权限是所有人都一样的,所以不需要进行登录验
python爬虫-梨视频短视频爬取(线程池)示例代码importrequestsfromlxmlimportetreeimportrandomfrommulti