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 (url, stream=True) as r:
chunk_size = 1024
content_size = int(['content-length'])
print '下载开始'
with open(path, "wb") as f:
for chunk in r.iter_content(chunk_size=chunk_size):
(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 requests
from contextlib import closing
def download_file(url, path):
with closing((url, stream=True)) as r:
chunk_size = 1024
content_size = int(['content-length'])
print '下载开始'
with open(path, "wb") as f:
for chunk in r.iter_content(chunk_size=chunk_size):
(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 requests
from contextlib import closing
import os
def download_file(url, path):
with closing((url, stream=True)) as r:
chunk_size = 1024
content_size = int(['content-length'])
print '下载开始'
with open(path, "wb") as f:
for chunk in r.iter_content(chunk_size=chunk_size):
(chunk)
()
(())
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((url, stream=True)) as r:
chunk_size = 1024
content_size = int(['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
(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 requests
from contextlib import closing
import time
def download_file(url, path):
with closing((url, stream=True)) as r:
chunk_size = 1024*10
content_size = int(['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):
(chunk)
()
class ProgressData(object):
def __init__(self, block,size, unit, file_name='', ):
self.file_name = file_name
= block/1000.0
= size/1000.0
= unit
= 0
= ()
def output(self):
= ()
+= 1
speed = /() if ()>0 else 0
= ()
loaded = *
progress = round(loaded/, 4)
if loaded >= :
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, ,\
, , progress, speed, )
print '%50s'%('/'*int((1-progress)*50))
运行：
下载开始
下载进度10.24Kb/120174.05Kb 0.01% 下载速度4.75Kb/s
/
下载进度20.48Kb/120174.05Kb 0.02% 下载速度32.93Kb/s
/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 requests
from contextlib import closing
import time
import Queue
import hashlib
import threading
import os
def download_file(url, path):
with closing((url, stream=True)) as r:
chunk_size = 1024*10
content_size = int(['content-length'])
if (path) and (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):
(chunk)
()
class ProgressData(object):
def __init__(self, block,size, unit, file_name='', ):
self.file_name = file_name
= block/1000.0
= size/1000.0
= unit
= 0
= ()
def output(self):
= ()
+= 1
speed = /() if ()>0 else 0
= ()
loaded = *
progress = round(loaded/, 4)
if loaded >= :
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, ,\
, , progress, speed, )
print '%50s'%('/'*int((1-progress)*50))
queue = ()
def run():
while True:
url = (timeout=100)
if url is None:
print u'全下完啦'
break
h = hashlib.md5()
(url)
name = ()
path = 'e:/download/' + name + '.mp4'
download_file(url, path)
def get_url():
(None)
if __name__ == '__main__':
get_url()
for i in xrange(4):
t = (target=run)
= True
()
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！