用urllib2限制

使用时可以轻松限制kbps urllib2吗？如果是,您可以指导我的任何代码示例或资源将不胜感激.

模块中有urlretrieve(url, filename=None, reporthook=None, data=None)功能urllib.如果将reporthook-function/object实现为令牌桶或漏桶,则具有全局速率限制.

编辑:经过仔细检查,我发现reporthook按照我的想法进行全球限速并不容易.reporthook仅给出下载的数量和总大小,这些信息本身不足以与令牌桶一起使用的信息.解决此问题的一种方法是将最后下载的数量存储在每个速率限制器中,但使用全局令牌桶.

编辑2:将两个代码组合成一个例子.

"""Rate limiters with shared token bucket."""

import os
import sys
import threading
import time
import urllib
import urlparse

class TokenBucket(object):
    """An implementation of the token bucket algorithm.
    source: http://code.activestate.com/recipes/511490/

    >>> bucket = TokenBucket(80, 0.5)
    >>> print bucket.consume(10)
    True
    >>> print bucket.consume(90)
    False
    """
    def __init__(self, tokens, fill_rate):
        """tokens is the total tokens in the bucket. fill_rate is the
        rate in tokens/second that the bucket will be refilled."""
        self.capacity = float(tokens)
        self._tokens = float(tokens)
        self.fill_rate = float(fill_rate)
        self.timestamp = time.time()
        self.lock = threading.RLock()

    def consume(self, tokens):
        """Consume tokens from the bucket. Returns 0 if there were
        sufficient tokens, otherwise the expected time until enough
        tokens become available."""
        self.lock.acquire()
        tokens = max(tokens,self.tokens)
        expected_time = (tokens - self.tokens) / self.fill_rate
        if expected_time <= 0:
            self._tokens -= tokens
        self.lock.release()
        return max(0,expected_time)

    @property
    def tokens(self):
        self.lock.acquire()
        if self._tokens < self.capacity:
            now = time.time()
            delta = self.fill_rate * (now - self.timestamp)
            self._tokens = min(self.capacity, self._tokens + delta)
            self.timestamp = now
        value = self._tokens
        self.lock.release()
        return value

class RateLimit(object):
    """Rate limit a url fetch.
    source: http://mail.python.org/pipermail/python-list/2008-January/472859.html
    (but mostly rewritten)
    """
    def __init__(self, bucket, filename):
        self.bucket = bucket
        self.last_update = 0
        self.last_downloaded_kb = 0

        self.filename = filename
        self.avg_rate = None

    def __call__(self, block_count, block_size, total_size):
        total_kb = total_size / 1024.

        downloaded_kb = (block_count * block_size) / 1024.
        just_downloaded = downloaded_kb - self.last_downloaded_kb
        self.last_downloaded_kb = downloaded_kb

        predicted_size = block_size/1024.

        wait_time = self.bucket.consume(predicted_size)
        while wait_time > 0:
            time.sleep(wait_time)
            wait_time = self.bucket.consume(predicted_size)

        now = time.time()
        delta = now - self.last_update
        if self.last_update != 0:
            if delta > 0:
                rate = just_downloaded / delta
                if self.avg_rate is not None:
                    rate = 0.9 * self.avg_rate + 0.1 * rate
                self.avg_rate = rate
            else:
                rate = self.avg_rate or 0.
            print "%20s: %4.1f%%, %5.1f KiB/s, %.1f/%.1f KiB" % (
                    self.filename, 100. * downloaded_kb / total_kb,
                    rate, downloaded_kb, total_kb,
                )
        self.last_update = now


def main():
    """Fetch the contents of urls"""
    if len(sys.argv) < 4:
        print 'Syntax: %s rate url1 url2 ...' % sys.argv[0]
        raise SystemExit(1)
    rate_limit  = float(sys.argv[1])
    urls = sys.argv[2:]
    bucket = TokenBucket(10*rate_limit, rate_limit)

    print "rate limit = %.1f" % (rate_limit,)

    threads = []
    for url in urls:
        path = urlparse.urlparse(url,'http')[2]
        filename = os.path.basename(path)
        print 'Downloading "%s" to "%s"...' % (url,filename)
        rate_limiter = RateLimit(bucket, filename)
        t = threading.Thread(
            target=urllib.urlretrieve,
            args=(url, filename, rate_limiter))
        t.start()
        threads.append(t)

    for t in threads:
        t.join()

    print 'All downloads finished'

if __name__ == "__main__":
    main()