【问题标题】:Throttling with urllib2使用 urllib2 进行节流
【发布时间】:2009-01-19 05:53:58
【问题描述】:

使用urllib2 时是否可以轻松限制 kbps? 如果是这样,您可以指导我访问的任何代码示例或资源将不胜感激。

【问题讨论】:

    标签: python urllib2 bandwidth-throttling


    【解决方案1】:

    urllib 模块中有urlretrieve(url, filename=None, reporthook=None, data=None) 函数。 如果您将reporthook-function/object 实现为token bucket 或漏桶,则您有全局速率限制。

    编辑:经过仔细检查,我发现使用reporthook 进行全局速率限制并不像我想象的那么容易。 reporthook 仅给出下载量和总大小,仅凭这些信息不足以与令牌桶一起使用。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: 将两个代码合并为一个示例。

    """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()
    

    【讨论】:

    • 谢谢 MizardX。这并不是我想要的,因为我需要一个 urllib2 而不是 urllib 的实现,但我认为这无疑为我指明了正确的方向。
    • 仅供参考:我写了一个通用的“read_limiting_rate()”函数,它适用于 Python3 中的所有可读对象。 pastie.org/3120175
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