Tornado的tornado.queue
采用协程实现了异步的生产者/消费者模式,跟Python内置的通过线程实现的queue模块功能类似。
当队列中有数据时,协程才会yield
一个Queue.get
。如果队列有大小限制,则只有到队列有空间时,协程才会yield
一个Queue.put
。
Queue
对象保存着一定数目没有完成的任务,这个数目刚开始为0, put
则数目加一,task_done
则数目减一。
在下面的网络爬虫中,队列一开始只有基准URL, 当worker获取一个网页并解析出URL,将URL添加到队列中,然后调用task_done
来将数目减一。
#!/usr/bin/env python
import time
from datetime import timedelta
try:
from HTMLParser import HTMLParser
from urlparse import urljoin, urldefrag
except ImportError:
from html.parser import HTMLParser
from urllib.parse import urljoin, urldefrag
from tornado import httpclient, gen, ioloop, queues
base_url = 'http://www.tornadoweb.org/en/stable/'
concurrency = 10
@gen.coroutine
def get_links_from_url(url):
"""Download the page at `url` and parse it for links.
Returned links have had the fragment after `#` removed, and have been made
absolute so, e.g. the URL 'gen.html#tornado.gen.coroutine' becomes
'http://www.tornadoweb.org/en/stable/gen.html'.
"""
try:
response = yield httpclient.AsyncHTTPClient().fetch(url)
print('fetched %s' % url)
html = response.body if isinstance(response.body, str)
else response.body.decode()
urls = [urljoin(url, remove_fragment(new_url))
for new_url in get_links(html)]
except Exception as e:
print('Exception: %s %s' % (e, url))
raise gen.Return([])
raise gen.Return(urls)
def remove_fragment(url):
pure_url, frag = urldefrag(url)
return pure_url
def get_links(html):
class URLSeeker(HTMLParser):
def __init__(self):
HTMLParser.__init__(self)
self.urls = []
def handle_starttag(self, tag, attrs):
href = dict(attrs).get('href')
if href and tag == 'a':
self.urls.append(href)
url_seeker = URLSeeker()
url_seeker.feed(html)
return url_seeker.urls
@gen.coroutine
def main():
q = queues.Queue()
start = time.time()
fetching, fetched = set(), set()
@gen.coroutine
def fetch_url():
current_url = yield q.get()
try:
if current_url in fetching:
return
print('fetching %s' % current_url)
fetching.add(current_url)
urls = yield get_links_from_url(current_url)
fetched.add(current_url)
for new_url in urls:
# Only follow links beneath the base URL
if new_url.startswith(base_url):
yield q.put(new_url)
finally:
q.task_done()
@gen.coroutine
def worker():
while True:
yield fetch_url()
q.put(base_url)
# Start workers, then wait for the work queue to be empty.
for _ in range(concurrency):
worker()
yield q.join(timeout=timedelta(seconds=300))
assert fetching == fetched
print('Done in %d seconds, fetched %s URLs.' % (
time.time() - start, len(fetched)))
if __name__ == '__main__':
import logging
logging.basicConfig()
io_loop = ioloop.IOLoop.current()
io_loop.run_sync(main)