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使用tornado實現簡單爬蟲

程式碼在官方文件的示例程式碼中有,但是作為一個tornado新手來說閱讀起來還是有點困難的,於是我在程式碼中添加了註釋,方便理解,程式碼如下:

# coding=utf-8
 #!/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 # 設定要爬取的網址 base_url = 'http://www.baidu.com' # 設定worker數量 concurrency = 10 # 此程式碼會獲取base_url下的所有其他url @gen.coroutine def get_links_from_url(url): try: # 通過異步向url發起請求 response = yield httpclient.AsyncHTTPClient().fetch(url) print('fetched %s'
% url) # 響應如果是位元組型別 進行解碼 html = response.body if isinstance(response.body, str) \ else response.body.decode(errors='ignore') # 構建url列表 urls = [urljoin(url, remove_fragment(new_url)) for new_url in get_links(html)] except Exception as e: print('Exception: %s %s'
% (e, url)) # 報錯返回空列表 raise gen.Return([]) # 返回url列表 raise gen.Return(urls) def remove_fragment(url): #去除錨點 pure_url, frag = urldefrag(url) return pure_url def get_links(html): #從html頁面裡提取url 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(): # 建立佇列 q = queues.Queue() # 記錄開始時間戳 start = time.time() # 構建兩個集合 fetching, fetched = set(), set() @gen.coroutine def fetch_url(): # 從佇列中取出資料 current_url = yield q.get() try: # 如果取出的資料在佇列中已經存在 返回 if current_url in fetching: return print('fetching %s' % current_url) # 如果不存在新增到集合當中 fetching.add(current_url) # 從新放入的連結中繼續獲取連結 urls = yield get_links_from_url(current_url) # 將已經請求玩的url放入第二個集合 fetched.add(current_url) for new_url in urls: # Only follow links beneath the base URL # 如果連結是以傳入的url開始則放入佇列 if new_url.startswith(base_url): yield q.put(new_url) finally: # 佇列內資料減一 q.task_done() @gen.coroutine def worker(): while True: # 保證程式持續執行 yield fetch_url() # 將第一個url放入佇列 q.put(base_url) # Start workers, then wait for the work queue to be empty. for _ in range(concurrency): # 啟動對應數量的worker worker() # 等待佇列資料處理完成 yield q.join(timeout=timedelta(seconds=300)) # 如果兩個集合不相等丟擲異常 assert fetching == fetched # 列印執行時間 print('Done in %d seconds, fetched %s URLs.' % ( time.time() - start, len(fetched))) if __name__ == '__main__': io_loop = ioloop.IOLoop.current() io_loop.run_sync(main)