使用 urllib2 进行节流

发布于 2024-07-11 21:33:49 字数 66 浏览 6 评论 0原文

使用 urllib2 时是否可以轻松限制 kbps? 如果是的话,您可以指导我找到任何代码示例或资源,我将不胜感激。

is it possible to easily cap the kbps when using urllib2?
If it is, any code examples or resources you could direct me to would be greatly appreciated.

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一枫情书 2024-07-18 21:33:49

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 令牌桶,或者漏桶,你有你的全局速率限制。

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,其本身不足以提供与令牌桶一起使用的信息。 解决这个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:将两个代码合并到一个示例中。

"""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()

There is the urlretrieve(url, filename=None, reporthook=None, data=None) function in the urllib module.
If you implement the reporthook-function/object as either a token bucket, or a leaky bucket, you have your global rate-limit.

EDIT: Upon closer examination I see that it isn't as easy to do global rate-limit with reporthook as I thought. reporthook is only given the downloaded amount and the total size, which on their own isn't enough to information to use with the token-bucket. One way to get around it is by storing the last downloaded amount in each rate-limiter, but use a global token-bucket.


EDIT 2: Combined both codes into one example.

"""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()
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