class ResultProducer(multiprocessing.Process):
def __init__(self, result_queue):
super(ResultProducer, self).__init__()
self.result_queue = result_queue
self.log = properties.logger.getChild("result_producer")
self.tq = RedisTaskQueue()
def run(self):
self.log.info("will produce results")
while True:
try:
result = self.result_queue.get()
self.log.info("will produce task result: [%s]" % result)
task_id = result.get("task_id")
new_since_id = result.get("since_id")
new_max_id = result.get("max_id")
new_state = result.get("state", WORK)
error = result.get("error")
self.tq.update_task_info(task_id, new_since_id, new_max_id)
if error:
error_detail = result.get("error_detail")
self.tq.set_task_error(task_id, error_detail)
self.log.info("set task to error!\n%s" % task_id)
else:
self.tq.set_task_state(task_id, new_state)
self.log.info("set task [%s] \n%s" % (task_id, new_state))
except Exception as e:
self.log.exception(e)
def __init__(self, result_queue):
super(ResultProducer, self).__init__()
self.result_queue = result_queue
self.log = properties.logger.getChild("result_producer")
self.tq = RedisTaskQueue()
source_post = message.get("re_post_info")
if source_post:
result["re_post_info"] = process_callback(context, source_post)
return result
if __name__ == '__main__':
iteration_sleep_time = 5
watcher = WorkedWatcher(iteration_sleep_time * 2)
log = properties.logger.getChild('main')
prepare_fast_db_handler()
tq = RedisTaskQueue(redis.Redis())
tq.restore_queue()
load_credentials()
result_queue = Queue()
tasks_queue = Queue()
ResultProducer(result_queue).start()
ch = CredentialsHandler(refresh=True)
retrievers = []
for i in xrange(properties.count_processes):
rtr = RetrieverWorker(tasks_queue, process_callback, result_queue, str(i))
# rtr.daemon = True
retrievers.append(rtr)
