python实现多线程网页下载器

本文为大家分享了python实现的一个多线程网页下载器，供大家参考，具体内容如下

这是一个有着真实需求的实现，我的用途是拿它来通过 HTTP 方式向服务器提交游戏数据。把它放上来也是想大家帮忙挑刺，找找 bug，让它工作得更好。

keywords:python,http,multi-threads,thread,threading,httplib,urllib,urllib2,Queue,http pool,httppool

废话少说，上源码：

# -*- coding:utf-8 -*- 
import urllib, httplib 
import thread 
import time 
from Queue import Queue, Empty, Full 
HEADERS = {"Content-type": "application/x-www-form-urlencoded", 
            'Accept-Language':'zh-cn', 
            'User-Agent': 'Mozilla/4.0 (compatible; MSIE 6.0;Windows NT 5.0)', 
            "Accept": "text/plain"} 
UNEXPECTED_ERROR = -1 
POST = 'POST' 
GET = 'GET' 
def base_log(msg): 
  print msg 
def base_fail_op(task, status, log): 
  log('fail op. task = %s, status = %d'%(str(task), status)) 
def get_remote_data(tasks, results, fail_op = base_fail_op, log = base_log): 
  while True: 
    task = tasks.get() 
    try: 
      tid = task['id'] 
      hpt = task['conn_args'] # hpt <= host:port, timeout 
    except KeyError, e: 
      log(str(e)) 
      continue 
    log('thread_%s doing task %d'%(thread.get_ident(), tid)) 
    #log('hpt = ' + str(hpt)) 
    conn = httplib.HTTPConnection(**hpt) 
       
    try: 
      params = task['params'] 
    except KeyError, e: 
      params = {} 
    params = urllib.urlencode(params) 
    #log('params = ' + params) 
     
    try: 
      method = task['method'] 
    except KeyError: 
      method = 'GET' 
    #log('method = ' + method) 
     
    try: 
      url = task['url'] 
    except KeyError: 
      url = '/' 
    #log('url = ' + url) 
     
    headers = HEADERS 
    try: 
      tmp = task['headers'] 
    except KeyError, e: 
      tmp = {} 
    headers.update(tmp) 
    #log('headers = ' + str(headers)) 
    headers['Content-Length'] = len(params) 
     
    try: 
      if method == POST: 
        conn.request(method, url, params, headers) 
      else: 
        conn.request(method, url + params) 
      response = conn.getresponse() 
    except Exception, e: 
      log('request failed. method = %s, url = %s, params = %s headers = %s'%( 
            method, url, params, headers)) 
      log(str(e)) 
      fail_op(task, UNEXPECTED_ERROR, log) 
      continue 
       
    if response.status != httplib.OK: 
      fail_op(task, response.status, log) 
      continue 
       
    data = response.read() 
    results.put((tid, data), True) 
     
class HttpPool(object): 
  def __init__(self, threads_count, fail_op, log): 
    self._tasks = Queue() 
    self._results = Queue() 
     
    for i in xrange(threads_count): 
      thread.start_new_thread(get_remote_data,  
                              (self._tasks, self._results, fail_op, log)) 
       
  def add_task(self, tid, host, url, params, headers = {}, method = 'GET', timeout = None): 
    task = { 
      'id' : tid, 
      'conn_args' : {'host' : host} if timeout is None else {'host' : host, 'timeout' : timeout}, 
      'headers' : headers, 
      'url' : url, 
      'params' : params, 
      'method' : method, 
      } 
    try: 
      self._tasks.put_nowait(task) 
    except Full: 
      return False 
    return True 
     
  def get_results(self): 
    results = [] 
    while True: 
      try: 
        res = self._results.get_nowait() 
      except Empty: 
        break 
      results.append(res) 
    return results 
     
def test_google(task_count, threads_count): 
  hp = HttpPool(threads_count, base_fail_op, base_log) 
  for i in xrange(task_count): 
    if hp.add_task(i, 
        'www.google.cn', 
        '/search?', 
        {'q' : 'lai'}, 
#        method = 'POST' 
        ): 
      print 'add task successed.' 
       
  while True: 
    results = hp.get_results() 
    if not results: 
      time.sleep(1.0 * random.random()) 
    for i in results: 
      print i[0], len(i[1]) 
#      print unicode(i[1], 'gb18030') 
       
if __name__ == '__main__': 
  import sys, random 
  task_count, threads_count = int(sys.argv[1]), int(sys.argv[2]) 
  test_google(task_count, threads_count)

 有兴趣想尝试运行的朋友，可以把它保存为 xxxx.py，然后执行 python xxxx.py 10 4，其中 10 表示向 google.cn 请求 10 次查询，4 表示由 4 条线程来执行这些任务。