python之多线程 queue 实践 筛选有效url

0.目录

1.背景

某号码卡申请页面通过省份+城市切换归属地，每次返回10个号码。

通过 Fiddler 抓包确认 url 关键参数规律:

provinceCode 两位数字

cityCode 三位数字

groupKey 与 provinceCode 为一一对应

所以任务是手动遍历省份，取得 provinceCode 和 groupKey 组合列表，对组合列表的每个组合执行 for 循环 cityCode ，确认有效 url 。

url 不对的时候正常返回，而使用 squid 多代理经常出现代理失效，需要排除 requests 相关异常，尽量避免错判。

# In [88]: r.text
# Out[88]: u'jsonp_queryMoreNums({"numRetailList":[],"code":"M1","uuid":"a95ca4c6-957e-462a-80cd-0412b
# d5672df","numArray":[]});' 

获取号码归属地信息：

url = 'http://www.ip138.com:8080/search.asp?action=mobile&mobile=%s' %num

中文转换拼音：

from pypinyin import lazy_pinyin

province_pinyin = ''.join(lazy_pinyin(province_zh))

确认任务队列已完成：

https://docs.python.org/2/library/queue.html#module-Queue

Queue.task_done()
Indicate that a formerly enqueued task is complete. Used by queue consumer threads. For each get() used to fetch a task, a subsequent call to task_done() tells the queue that the processing on the task is complete.

If a join() is currently blocking, it will resume when all items have been processed (meaning that a task_done() call was received for every item that had been put() into the queue).

Raises a ValueError if called more times than there were items placed in the queue.

2.完整代码

referer 和 url 细节已#!/usr/bin/env python# -*- coding: UTF-8 -*import timeimport reimport jsonimport traceback

import threading
lock = threading.Lock()
import Queue
task_queue = Queue.Queue()
write_queue = Queue.Queue()

import requests
from requests.exceptions import (ConnectionError, ConnectTimeout, ReadTimeout, SSLError,
                                ProxyError, RetryError, InvalidSchema)
s = requests.Session()
s.headers.update({'user-agent':'Mozilla/5.0 (iPhone; CPU iPhone OS 9_3_5 like Mac OS X) AppleWebKit/601.1.46 (KHTML, like Gecko) Mobile/13G36 MicroMessenger/6.5.12 NetType/4G'})
# 隐藏 referer 细节，实测可不用
# s.headers.update({'Referer':'https://servicewechat.com/xxxxxxxx'})
s.verify = False
s.mount('https://', requests.adapters.HTTPAdapter(pool_connections=1000, pool_maxsize=1000))

import copy
sp = copy.deepcopy(s)
proxies = {'http': 'http://127.0.0.1:3128', 'https': 'https://127.0.0.1:3128'}
sp.proxies = proxies 

from urllib3.exceptions import InsecureRequestWarning
from warnings import filterwarnings
filterwarnings('ignore', category = InsecureRequestWarning)

from bs4 import BeautifulSoup as BS
from pypinyin import lazy_pinyin
import pickle

import logging
def get_logger():
    logger = logging.getLogger("threading_example")
    logger.setLevel(logging.DEBUG)

    # fh = logging.FileHandler("d:/threading.log")
    fh = logging.StreamHandler()
    fmt = '%(asctime)s - %(threadName)-10s - %(levelname)s - %(message)s'
    formatter = logging.Formatter(fmt)
    fh.setFormatter(formatter)

    logger.addHandler(fh)
    return logger

logger = get_logger() 

# url 不对的时候正常返回：
# In [88]: r.text
# Out[88]: u'jsonp_queryMoreNums({"numRetailList":[],"code":"M1","uuid":"a95ca4c6-957e-462a-80cd-0412b
# d5672df","numArray":[]});'
results = []
def get_nums():
    global results
    pattern = re.compile(r'({.*?})') #, re.S | re.I | re.X)
    while True:
        try:  #尽量缩小try代码块大小
            _url = task_queue.get()
            url = _url + str(int(time.time()*1000))
            resp = sp.get(url, timeout=10)
        except (ConnectionError, ConnectTimeout, ReadTimeout, SSLError,
                ProxyError, RetryError, InvalidSchema) as err:
            task_queue.task_done()  ############### 重新 put 之前需要 task_done ，才能保证释放 task_queue.join()
            task_queue.put(_url)
        except Exception as err:
            logger.debug('\nstatus_code:{}\nurl:{}\nerr: {}\ntraceback: {}'.format(resp.status_code, url, err, traceback.format_exc()))
            task_queue.task_done()  ############### 重新 put 之前需要 task_done ，才能保证释放 task_queue.join()
            task_queue.put(_url)
        else:
            try:
                # rst = resp.content
                # match = rst[rst.index('{'):rst.index('}')+1]
                # m = re.search(r'({.*?})',resp.content)
                m = pattern.search(resp.content)
                match = m.group()
                rst = json.loads(match)
                nums = [num for num in rst['numArray'] if num>10000]
                nums_len = len(nums)
                # assert nums_len == 10
                num = nums[-1]
                province_zh, city_zh, province_pinyin, city_pinyin = get_num_info(num)
                result = (str(num), province_zh, city_zh, province_pinyin, city_pinyin, _url)
                results.append(result)
                write_queue.put(result)
                logger.debug(u'results:{} threads: {} task_queue: {} {} {} {} {}'.format(len(results), threading.activeCount(), task_queue.qsize(),
                                                                                   num, province_zh, city_zh, _url))   

            except (ValueError, AttributeError, IndexError) as err:
                pass
            except Exception as err:
                # print err,traceback.format_exc()
                logger.debug('\nstatus_code:{}\nurl:{}\ncontent:{}\nerr: {}\ntraceback: {}'.format(resp.status_code, url, resp.content, err, traceback.format_exc()))
            finally:
                task_queue.task_done()  ###############

def get_num_info(num):
    try:
        url = 'http://www.ip138.com:8080/search.asp?action=mobile&mobile=%s' %num
        resp = s.get(url)
        soup = BS(resp.content, 'lxml')
        # pro, cit = re.findall(r'<TD class="tdc2" align="center">(.*?)<', resp.content)[0].decode('gbk').split('&nbsp;')
        rst = soup.select('tr td.tdc2')[1].text.split()
        if len(rst) == 2:
            province_zh, city_zh = rst
        else:
            province_zh = city_zh = rst[0]
        province_pinyin = ''.join(lazy_pinyin(province_zh))
        city_pinyin = ''.join(lazy_pinyin(city_zh))
    except Exception as err:
        print err,traceback.format_exc()
        province_zh = city_zh = province_pinyin = city_pinyin = 'xxx'

    return province_zh, city_zh, province_pinyin, city_pinyin

def write_result():
    with open('10010temp.txt','w',0) as f:  # 'w' open时会截去之前内容,所以放在 while True 之上
        while True:
            try:
                rst = ' '.join(write_queue.get()) + '\n'
                f.write(rst.encode('utf-8'))
                write_queue.task_done()
            except Exception as err:
                print err,traceback.format_exc()                

if __name__ == '__main__':        

    province_groupkey_list = [
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', ''),
     ('', '')]    

    # province_groupkey_list = [('51', '21236872')]
    import itertools
    for (provinceCode, groupKey) in province_groupkey_list:
        # for cityCode in range(1000):
        for cityCode in [''.join(i) for i in itertools.product('',repeat=3)]:
            fmt = 'https://m.1xxxx.com/xxxxx&provinceCode={provinceCode}&cityCode={cityCode}&xxxxx&groupKey={groupKey}&xxxxx'    # url 细节已被隐藏
            url = fmt.format(provinceCode=provinceCode, cityCode=cityCode, groupKey=groupKey)#, now=int(float(time.time())*1000))
            task_queue.put(url)

    threads = []
    for i in range(300):
        t = threading.Thread(target=get_nums)  #args接收元组，至少(a,)
        threads.append(t)

    t_write_result = threading.Thread(target=write_result)
    threads.append(t_write_result)

    # for t in threads:
        # t.setDaemon(True)
        # t.start()
    # while True:
        # pass

    for t in threads:
        t.setDaemon(True)
        t.start()
    # for t in threads:
        # t.join() 

    task_queue.join()
    print 'task done'
    write_queue.join()
    print 'write done'    

    with open('10010temp','w') as f:
        pickle.dump(results, f)
    print 'all done'

    # while True:
        # pass

3.运行结果

多运行几次，确认最终 results 数量339