self.thread_num = thread_num
def new_worker(self):
def start_thread_manager():
manager = MultiThreadWorkerManager(self.exit_flag, self.job_queue,
self.done_queue,
self.thread_num, self.worker_constructor,
self.constructor_args, self.constructor_kwargs)
manager.monitor_worker()
return multiprocessing.Process(target=start_thread_manager)
if __name__ == '__main__':
begin_time = time.clock()
name_red = 'testA'
name_eu = 'testB'
redis_que = RedisQueues(name_red)
eu_que = EuQueue(name_eu, redis_que)
# eu_que = EuQueue()
hosts = ["http://www.yahoo.com", "http://google.com","http://www.amazon.com","http://www.taobao.com/","http://www.apple.com","http://www.baidu.com"]
#提取已经下载的页面里面的URL，保存至队列中
for item in hosts:
print "item1:", item
redis_que.put(item)
exit_flag = multiprocessing.Value('i', 0, lock=True)
print exit_flag
worker_num = 1
max_job_num = 1
# crawler_mas = MultiThreadWorkerManager(exit_flag, redis_que, eu_que, worker_num, CuWorker, max_job_num)
crawler_mas = MultiProcessMultiThreadWorkerManager(exit_flag, redis_que, eu_que, worker_num, CuWorker, max_job_num)
pagetoken = '&pagetoken=%s' % josn_response['next_page_token']
url = re.sub(r'&pagetoken=.*', pagetoken, url)
save_url_ToQueue(url)
# self.parse_html(url)
else:
pass
elif status == 'OVER_QUERY_LIMIT':
self.key = self.app_keys_pop()
url = re.sub(r'&key=.*&pagetoken', '&key=%s&pagetoken' % self.key,
url)
save_url_ToQueue(url)
# self.parse_html(url)
else:
return
# from datetime import datetime
if __name__ == "__main__":
# border_location_right = {
# "lat": 24.970,
# "lng": 121.666
# }
# print gpp.get_url(app_keys[0], border_location_right, 'food')
name_red = 'testA'
redis_que = RedisQueues(name_red)
print redis_que.length()
gpp = GooglePlacesParser(redis_que)
gpp.save_url_ToQueue()
print redis_que.length()
manager = MultiThreadWorkerManager(self.exit_flag, self.job_queue,
self.done_queue,
self.thread_num,
self.worker_constructor,
self.constructor_args,
self.constructor_kwargs)
manager.monitor_worker()
return multiprocessing.Process(target=start_thread_manager)
if __name__ == '__main__':
begin_time = time.clock()
name_red = 'testA'
name_eu = 'testB'
redis_que = RedisQueues(name_red)
eu_que = EuQueue(name_eu, redis_que)
# eu_que = EuQueue()
hosts = [
"http://www.yahoo.com", "http://google.com", "http://www.amazon.com",
"http://www.taobao.com/", "http://www.apple.com",
"http://www.baidu.com"
]
#提取已经下载的页面里面的URL，保存至队列中
for item in hosts:
print "item1:", item
redis_que.put(item)
exit_flag = multiprocessing.Value('i', 0, lock=True)
print exit_flag
# time.sleep(60)
print 'the information about all people has saved!'
print '完成 退出'
# url = 'https://s3.amazonaws.com/codecave/tut1.html'
# url= 'http://www.douban.com/group/search?cat=1019&q=%E6%9C%88%E5%AB%82'
# data_words = ['妈妈','宝宝','怀孕','待产包','月子餐','月嫂']
if __name__ == '__main__':
# pool = multiprocessing.Pool(processes=4)
start = time.clock()
dbs = MongoCRUD()
data_words = ['妈妈', '宝宝', '怀孕', '待产包', '月子餐', '月嫂', '妈咪']
data_words = ['妈妈']
group_queue = RedisQueues('GROUP_QUEUE1')
group_queue.delete()
# all = get_url_all(data_words,group_queue)
# get_url_all(data_words,group_queue,dbs)
# print len(all)
# print '豆瓣用户UID存入数据库'
# dbs.people_url_insert(all)
save_data()
elapsed = (time.clock() - start)
print("Time used:", elapsed)
'''
people_queue = RedisQueues('PEOPLE_QUEUE1')
dbs = MongoCRUD()
# get_data(data_words,group_queue,people_queue)
people_all =get_data(data_words,group_queue,people_queue)
self.crud.save_map_data_insert(results)
if 'next_page_token' in josn_response:
pagetoken = '&pagetoken=%s' % josn_response['next_page_token']
url = re.sub(r'&pagetoken=.*', pagetoken, url)
save_url_ToQueue(url)
# self.parse_html(url)
else:
pass
elif status == 'OVER_QUERY_LIMIT':
self.key = self.app_keys_pop()
url = re.sub(r'&key=.*&pagetoken', '&key=%s&pagetoken' % self.key, url)
save_url_ToQueue(url)
# self.parse_html(url)
else:
return
# from datetime import datetime
if __name__ == "__main__":
# border_location_right = {
# "lat": 24.970,
# "lng": 121.666
# }
# print gpp.get_url(app_keys[0], border_location_right, 'food')
name_red = 'testA'
redis_que = RedisQueues(name_red)
print redis_que.length()
gpp = GooglePlacesParser(redis_que)
gpp.save_url_ToQueue()
print redis_que.length()
else:
pass
elif status == 'OVER_QUERY_LIMIT':
self.key = self.app_keys_pop()
url = re.sub(r'&key=.*&pagetoken', '&key=%s&pagetoken' % self.key,
url)
self.parse_html(url)
else:
return
'''
def run(self):
all_locations = self.crud.read_all_locations()
if len(self.keys) > 0:
for location in all_locations:
for type in types:
url = self.get_url(location, type)
print url
self.parse_html(url)
self.crud.update_location_status(location['_id'])
else:
print "*------*-*all app keys have been used*-*-----*"
sys.exit()
'''
if __name__ == '__main__':
name_red = 'testA'
redis_que = RedisQueues(name_red)
# eu_que = EuQueue(redis_que)
