def check_flow_timeouts_task():
"""
See if any flow runs have timed out
"""
# find any runs that should have timed out
runs = FlowRun.objects.filter(is_active=True,
timeout_on__lte=timezone.now())
runs = runs.only('id', 'org', 'timeout_on')
queued_timeouts = QueueRecord(
'flow_timeouts', lambda r: '%d:%d' %
(r.id, datetime_to_epoch(r.timeout_on)))
for run in runs:
# ignore any run which was locked by previous calls to this task
if not queued_timeouts.is_queued(run):
try:
task_payload = dict(type=TIMEOUT_EVENT,
run=run.id,
timeout_on=run.timeout_on)
push_task(run.org_id, HANDLER_QUEUE, HANDLE_EVENT_TASK,
task_payload)
queued_timeouts.set_queued([run])
except Exception: # pragma: no cover
logger.error("Error queuing timeout task for run #%d" % run.id,
exc_info=True)
def check_campaigns_task():
"""
See if any event fires need to be triggered
"""
from temba.flows.models import Flow
unfired = EventFire.objects.filter(fired=None,
scheduled__lte=timezone.now())
unfired = unfired.values('id', 'event__flow_id')
# group fire events by flow so they can be batched
fire_ids_by_flow_id = defaultdict(list)
for fire in unfired:
fire_ids_by_flow_id[fire['event__flow_id']].append(fire['id'])
# fetch the flows used by all these event fires
flows_by_id = {
flow.id: flow
for flow in Flow.objects.filter(id__in=fire_ids_by_flow_id.keys())
}
queued_fires = QueueRecord('queued_event_fires')
# create queued tasks
for flow_id, fire_ids in six.iteritems(fire_ids_by_flow_id):
flow = flows_by_id[flow_id]
# create sub-batches no no single task is too big
for fire_id_batch in chunk_list(fire_ids, 500):
# ignore any fires which were queued by previous calls to this task but haven't yet been marked as fired
queued_fire_ids = queued_fires.filter_unqueued(fire_id_batch)
if queued_fire_ids:
try:
push_task(flow.org_id, HANDLER_QUEUE, HANDLE_EVENT_TASK,
dict(type=FIRE_EVENT, fires=queued_fire_ids))
queued_fires.set_queued(queued_fire_ids)
except Exception: # pragma: no cover
fire_ids_str = ','.join(
six.text_type(f) for f in queued_fire_ids)
logger.error("Error queuing campaign event fires: %s" %
fire_ids_str,
exc_info=True)
def check_campaigns_task():
"""
See if any event fires need to be triggered
"""
from temba.flows.models import Flow
unfired = EventFire.objects.filter(
fired=None, scheduled__lte=timezone.now(), event__flow__flow_server_enabled=False
).select_related("event")
unfired = unfired.values("id", "event_id", "event__flow_id")
# group fire events by event so they can be batched
fire_ids_by_event_id = defaultdict(list)
event_flow_map = dict()
for fire in unfired:
event_flow_map[fire["event_id"]] = fire["event__flow_id"]
fire_ids_by_event_id[fire["event_id"]].append(fire["id"])
# fetch the flows used by all these event fires
flows_by_id = {flow.id: flow for flow in Flow.objects.filter(id__in=event_flow_map.values())}
queued_fires = QueueRecord("queued_event_fires")
# create queued tasks
for ev_id, fire_ids in fire_ids_by_event_id.items():
flow_id = event_flow_map[ev_id]
flow = flows_by_id[flow_id]
# create sub-batches no no single task is too big
for fire_id_batch in chunk_list(fire_ids, 500):
# ignore any fires which were queued by previous calls to this task but haven't yet been marked as fired
queued_fire_ids = queued_fires.filter_unqueued(fire_id_batch)
if queued_fire_ids:
try:
push_task(
flow.org_id, Queue.HANDLER, HANDLE_EVENT_TASK, dict(type=FIRE_EVENT, fires=queued_fire_ids)
)
queued_fires.set_queued(queued_fire_ids)
except Exception: # pragma: no cover
fire_ids_str = ",".join(str(f) for f in queued_fire_ids)
logger.error("Error queuing campaign event fires: %s" % fire_ids_str, exc_info=True)