django-celery-asyncio-daemonic进程不允许有子进程

我可以看到类似的问题已经被问过了,但这些问题运行的是多处理器,而不是执行器。因此,我不确定如何解决这个问题。

Github的问题也说它在4.1中解决了 https://github.com/celery/celery/issues/1709

我正在使用

celery==4.1.1
django-celery==3.2.1
django-celery-beat==1.0.1
django-celery-results==1.0.1

我的脚本如下所示,我试图将其缩减为只显示相关代码。

@asyncio.coroutine
def snmp_get(ip, oid, snmp_user, snmp_auth, snmp_priv):
    results=[]
    snmpEngine = SnmpEngine()
    errorIndication, errorStatus, errorIndex, varBinds = yield from getCmd(
                            ...
                        )
    ...
        for varBind in varBinds:
            results.append(' = '.join([x.prettyPrint() for x in varBind]))
    snmpEngine.transportDispatcher.closeDispatcher()
    return results

def create_link_data_record(link_data):
    obj = LinkData.objects.create(
        ...
    )
    return 'data polled for {} record {} created'.format(link_data.hostname, obj.id)


async def retrieve_data(link, loop):
    from  concurrent.futures import ProcessPoolExecutor
    executor = ProcessPoolExecutor(2)

    poll_interval = 60
    results = []
    # credentials:
    ...
    print('polling data for {} on {}'.format(hostname,link_mgmt_ip))

    # create link data obj
    link_data = LinkDataObj()
    ...

    # first poll for speeds
    download_speed_data_poll1 = await snmp_get(link_mgmt_ip, down_speed_oid % link_index ,snmp_user, snmp_auth, snmp_priv)
    download_speed_data_poll1 = await snmp_get(link_mgmt_ip, down_speed_oid % link_index ,snmp_user, snmp_auth, snmp_priv)

    # check we were able to poll
    if 'timeout' in str(get_snmp_value(download_speed_data_poll1)).lower():
        return 'timeout trying to poll {} - {}'.format(hostname ,link_mgmt_ip)
    upload_speed_data_poll1 = await snmp_get(link_mgmt_ip, up_speed_oid % link_index, snmp_user, snmp_auth, snmp_priv) 

    # wait for poll interval
    await asyncio.sleep(poll_interval)

    # second poll for speeds
    download_speed_data_poll2 = await snmp_get(link_mgmt_ip, down_speed_oid % link_index, snmp_user, snmp_auth, snmp_priv)
    upload_speed_data_poll2 = await snmp_get(link_mgmt_ip, up_speed_oid % link_index, snmp_user, snmp_auth, snmp_priv)    

    # create deltas for speed
    down_delta = int(get_snmp_value(download_speed_data_poll2)) - int(get_snmp_value(download_speed_data_poll1))
    up_delta = int(get_snmp_value(upload_speed_data_poll2)) - int(get_snmp_value(upload_speed_data_poll1)) 
    ...
    results.append(await loop.run_in_executor(executor, create_link_data_record, link_data))
    return results


def get_link_data():  
    link_data = LinkTargets.objects.all() 
    # create loop
    loop = asyncio.get_event_loop()
    if asyncio.get_event_loop().is_closed():
        loop = asyncio.new_event_loop()
        asyncio.set_event_loop(asyncio.new_event_loop())
    # create tasks 
    tasks = [asyncio.ensure_future(retrieve_data(link, loop)) for link in link_data]
    if tasks:
        start = time.time()  
        done, pending = loop.run_until_complete(asyncio.wait(tasks))
        loop.close()  

在下面引用执行程序代码中运行的错误

[2018-05-24 14:13:00,840: ERROR/ForkPoolWorker-3] Task exception was never retrieved
    future: <Task finished coro=<retrieve_data() done, defined at /itapp/itapp/monitoring/jobs/link_monitoring.py:130> exception=AssertionError('daemonic processes are not allowed to have children',)>
    Traceback (most recent call last):
      File "/itapp/itapp/monitoring/jobs/link_monitoring.py", line 209, in retrieve_data
        link_data.last_change = await loop.run_in_executor(executor, timestamp, (link_data.link_target_id, link_data.service_status))
      File "/usr/local/lib/python3.6/asyncio/base_events.py", line 639, in run_in_executor
        return futures.wrap_future(executor.submit(func, *args), loop=self)
      File "/usr/local/lib/python3.6/concurrent/futures/process.py", line 466, in submit
        self._start_queue_management_thread()
      File "/usr/local/lib/python3.6/concurrent/futures/process.py", line 427, in _start_queue_management_thread
        self._adjust_process_count()
      File "/usr/local/lib/python3.6/concurrent/futures/process.py", line 446, in _adjust_process_count
        p.start()
      File "/usr/local/lib/python3.6/multiprocessing/process.py", line 103, in start
        'daemonic processes are not allowed to have children'
    AssertionError: daemonic processes are not allowed to have children