def test_ok_with_custom_reschedule_exception(self):
sensor = self._make_sensor(
return_value=None,
mode='reschedule')
date1 = timezone.utcnow()
date2 = date1 + timedelta(seconds=60)
date3 = date1 + timedelta(seconds=120)
sensor.poke = Mock(side_effect=[
AirflowRescheduleException(date2),
AirflowRescheduleException(date3),
True,
])
dr = self._make_dag_run()
# first poke returns False and task is re-scheduled
with freeze_time(date1):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
# verify task is re-scheduled, i.e. state set to NONE
self.assertEqual(ti.state, State.UP_FOR_RESCHEDULE)
# verify one row in task_reschedule table
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 1)
self.assertEqual(task_reschedules[0].start_date, date1)
self.assertEqual(task_reschedules[0].reschedule_date, date2)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# second poke returns False and task is re-scheduled
with freeze_time(date2):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
# verify task is re-scheduled, i.e. state set to NONE
self.assertEqual(ti.state, State.UP_FOR_RESCHEDULE)
# verify two rows in task_reschedule table
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 2)
self.assertEqual(task_reschedules[1].start_date, date2)
self.assertEqual(task_reschedules[1].reschedule_date, date3)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# third poke returns True and task succeeds
with freeze_time(date3):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
self.assertEqual(ti.state, State.SUCCESS)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
def test_ok_with_custom_reschedule_exception(self):
sensor = self._make_sensor(return_value=None, mode='reschedule')
date1 = timezone.utcnow()
date2 = date1 + timedelta(seconds=60)
date3 = date1 + timedelta(seconds=120)
sensor.poke = Mock(side_effect=[
AirflowRescheduleException(date2),
AirflowRescheduleException(date3),
True,
])
dr = self._make_dag_run()
# first poke returns False and task is re-scheduled
with freeze_time(date1):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
# verify task is re-scheduled, i.e. state set to NONE
self.assertEqual(ti.state, State.UP_FOR_RESCHEDULE)
# verify one row in task_reschedule table
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 1)
self.assertEqual(task_reschedules[0].start_date, date1)
self.assertEqual(task_reschedules[0].reschedule_date, date2)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# second poke returns False and task is re-scheduled
with freeze_time(date2):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
# verify task is re-scheduled, i.e. state set to NONE
self.assertEqual(ti.state, State.UP_FOR_RESCHEDULE)
# verify two rows in task_reschedule table
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 2)
self.assertEqual(task_reschedules[1].start_date, date2)
self.assertEqual(task_reschedules[1].reschedule_date, date3)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# third poke returns True and task succeeds
with freeze_time(date3):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
self.assertEqual(ti.state, State.SUCCESS)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
def execute(self, context: Dict) -> Any:
started_at = timezone.utcnow()
try_number = 1
log_dag_id = self.dag.dag_id if self.has_dag() else ""
if self.reschedule:
# If reschedule, use first start date of current try
task_reschedules = TaskReschedule.find_for_task_instance(context['ti'])
if task_reschedules:
started_at = task_reschedules[0].start_date
try_number = len(task_reschedules) + 1
while not self.poke(context):
if (timezone.utcnow() - started_at).total_seconds() > self.timeout:
# If sensor is in soft fail mode but will be retried then
# give it a chance and fail with timeout.
# This gives the ability to set up non-blocking AND soft-fail sensors.
if self.soft_fail and not context['ti'].is_eligible_to_retry():
raise AirflowSkipException(
f"Snap. Time is OUT. DAG id: {log_dag_id}")
else:
raise AirflowSensorTimeout(
f"Snap. Time is OUT. DAG id: {log_dag_id}")
if self.reschedule:
reschedule_date = timezone.utcnow() + timedelta(
seconds=self._get_next_poke_interval(started_at, try_number))
raise AirflowRescheduleException(reschedule_date)
else:
sleep(self._get_next_poke_interval(started_at, try_number))
try_number += 1
self.log.info("Success criteria met. Exiting.")
def test_reschedule_with_test_mode(self):
sensor = self._make_sensor(
return_value=None,
poke_interval=10,
timeout=25,
mode='reschedule')
sensor.poke = Mock(side_effect=[False])
dr = self._make_dag_run()
# poke returns False and AirflowRescheduleException is raised
date1 = timezone.utcnow()
with freeze_time(date1):
for dt in self.dag.date_range(DEFAULT_DATE, end_date=DEFAULT_DATE):
TaskInstance(sensor, dt).run(
ignore_ti_state=True,
test_mode=True)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
# in test mode state is not modified
self.assertEqual(ti.state, State.NONE)
# in test mode no reschedule request is recorded
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 0)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
def test_reschedule_with_test_mode(self):
sensor = self._make_sensor(return_value=None,
poke_interval=10,
timeout=25,
mode='reschedule')
sensor.poke = Mock(side_effect=[False])
dr = self._make_dag_run()
# poke returns False and AirflowRescheduleException is raised
date1 = timezone.utcnow()
with freeze_time(date1):
for dt in self.dag.date_range(DEFAULT_DATE, end_date=DEFAULT_DATE):
TaskInstance(sensor, dt).run(ignore_ti_state=True,
test_mode=True)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
# in test mode state is not modified
self.assertEqual(ti.state, State.NONE)
# in test mode no reschedule request is recorded
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 0)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
def execute(self, context):
started_at = timezone.utcnow()
if self.reschedule:
# If reschedule, use first start date of current try
task_reschedules = TaskReschedule.find_for_task_instance(
context['ti'])
if task_reschedules:
started_at = task_reschedules[0].start_date
while not self.poke(context):
if (timezone.utcnow() - started_at).total_seconds() > self.timeout:
# If sensor is in soft fail mode but will be retried then
# give it a chance and fail with timeout.
# This gives the ability to set up non-blocking AND soft-fail sensors.
if self.soft_fail and not context['ti'].is_eligible_to_retry():
self._do_skip_downstream_tasks(context)
raise AirflowSkipException('Snap. Time is OUT.')
else:
raise AirflowSensorTimeout('Snap. Time is OUT.')
if self.reschedule:
reschedule_date = timezone.utcnow() + timedelta(
seconds=self.poke_interval)
raise AirflowRescheduleException(reschedule_date)
else:
sleep(self.poke_interval)
self.log.info("Success criteria met. Exiting.")
def execute(self, context: Context) -> Any:
started_at: Union[datetime.datetime, float]
if self.reschedule:
# If reschedule, use the start date of the first try (first try can be either the very
# first execution of the task, or the first execution after the task was cleared.)
first_try_number = context['ti'].max_tries - self.retries + 1
task_reschedules = TaskReschedule.find_for_task_instance(
context['ti'], try_number=first_try_number
)
if not task_reschedules:
start_date = timezone.utcnow()
else:
start_date = task_reschedules[0].start_date
started_at = start_date
def run_duration() -> float:
# If we are in reschedule mode, then we have to compute diff
# based on the time in a DB, so can't use time.monotonic
return (timezone.utcnow() - start_date).total_seconds()
else:
started_at = start_monotonic = time.monotonic()
def run_duration() -> float:
return time.monotonic() - start_monotonic
try_number = 1
log_dag_id = self.dag.dag_id if self.has_dag() else ""
xcom_value = None
while True:
poke_return = self.poke(context)
if poke_return:
if isinstance(poke_return, PokeReturnValue):
xcom_value = poke_return.xcom_value
break
if run_duration() > self.timeout:
# If sensor is in soft fail mode but times out raise AirflowSkipException.
if self.soft_fail:
raise AirflowSkipException(f"Snap. Time is OUT. DAG id: {log_dag_id}")
else:
raise AirflowSensorTimeout(f"Snap. Time is OUT. DAG id: {log_dag_id}")
if self.reschedule:
next_poke_interval = self._get_next_poke_interval(started_at, run_duration, try_number)
reschedule_date = timezone.utcnow() + timedelta(seconds=next_poke_interval)
if _is_metadatabase_mysql() and reschedule_date > _MYSQL_TIMESTAMP_MAX:
raise AirflowSensorTimeout(
f"Cannot reschedule DAG {log_dag_id} to {reschedule_date.isoformat()} "
f"since it is over MySQL's TIMESTAMP storage limit."
)
raise AirflowRescheduleException(reschedule_date)
else:
time.sleep(self._get_next_poke_interval(started_at, run_duration, try_number))
try_number += 1
self.log.info("Success criteria met. Exiting.")
return xcom_value
def execute(self, context: Dict) -> Any:
started_at = None
if self.reschedule:
# If reschedule, use the start date of the first try (first try can be either the very
# first execution of the task, or the first execution after the task was cleared.)
first_try_number = context['ti'].max_tries - self.retries + 1
task_reschedules = TaskReschedule.find_for_task_instance(
context['ti'], try_number=first_try_number)
if task_reschedules:
started_at = task_reschedules[0].start_date
else:
started_at = timezone.utcnow()
def run_duration() -> float:
# If we are in reschedule mode, then we have to compute diff
# based on the time in a DB, so can't use time.monotonic
nonlocal started_at
return (timezone.utcnow() - started_at).total_seconds()
else:
started_at = time.monotonic()
def run_duration() -> float:
nonlocal started_at
return time.monotonic() - started_at
try_number = 1
log_dag_id = self.dag.dag_id if self.has_dag() else ""
while not self.poke(context):
if run_duration() > self.timeout:
# If sensor is in soft fail mode but times out raise AirflowSkipException.
if self.soft_fail:
raise AirflowSkipException(
f"Snap. Time is OUT. DAG id: {log_dag_id}")
else:
raise AirflowSensorTimeout(
f"Snap. Time is OUT. DAG id: {log_dag_id}")
if self.reschedule:
reschedule_date = timezone.utcnow() + timedelta(
seconds=self._get_next_poke_interval(
started_at, run_duration, try_number))
raise AirflowRescheduleException(reschedule_date)
else:
time.sleep(
self._get_next_poke_interval(started_at, run_duration,
try_number))
try_number += 1
self.log.info("Success criteria met. Exiting.")
def _get_dep_statuses(self, ti, session, dep_context):
"""
Determines whether a task is ready to be rescheduled. Only tasks in
NONE state with at least one row in task_reschedule table are
handled by this dependency class, otherwise this dependency is
considered as passed. This dependency fails if the latest reschedule
request's reschedule date is still in future.
"""
if dep_context.ignore_in_reschedule_period:
yield self._passing_status(
reason=
"The context specified that being in a reschedule period was "
"permitted.")
return
if ti.state not in self.RESCHEDULEABLE_STATES:
yield self._passing_status(
reason=
"The task instance is not in State_UP_FOR_RESCHEDULE or NONE state."
)
return
task_reschedules = TaskReschedule.find_for_task_instance(
task_instance=ti)
if not task_reschedules:
yield self._passing_status(
reason="There is no reschedule request for this task instance."
)
return
now = timezone.utcnow()
next_reschedule_date = task_reschedules[-1].reschedule_date
if now >= next_reschedule_date:
yield self._passing_status(
reason="Task instance id ready for reschedule.")
return
yield self._failing_status(
reason=
"Task is not ready for reschedule yet but will be rescheduled "
"automatically. Current date is {0} and task will be rescheduled "
"at {1}.".format(now.isoformat(),
next_reschedule_date.isoformat()))
def execute(self, context):
started_at = timezone.utcnow()
if self.reschedule:
# If reschedule, use first start date of current try
task_reschedules = TaskReschedule.find_for_task_instance(context['ti'])
if task_reschedules:
started_at = task_reschedules[0].start_date
while not self.poke(context):
if (timezone.utcnow() - started_at).total_seconds() > self.timeout:
# If sensor is in soft fail mode but will be retried then
# give it a chance and fail with timeout.
# This gives the ability to set up non-blocking AND soft-fail sensors.
if self.soft_fail and not context['ti'].is_eligible_to_retry():
self._do_skip_downstream_tasks(context)
raise AirflowSkipException('Snap. Time is OUT.')
else:
raise AirflowSensorTimeout('Snap. Time is OUT.')
if self.reschedule:
reschedule_date = timezone.utcnow() + timedelta(
seconds=self.poke_interval)
raise AirflowRescheduleException(reschedule_date)
else:
sleep(self.poke_interval)
self.log.info("Success criteria met. Exiting.")
def _get_dep_statuses(self, ti, session, dep_context):
"""
Determines whether a task is ready to be rescheduled. Only tasks in
NONE state with at least one row in task_reschedule table are
handled by this dependency class, otherwise this dependency is
considered as passed. This dependency fails if the latest reschedule
request's reschedule date is still in future.
"""
if dep_context.ignore_in_reschedule_period:
yield self._passing_status(
reason="The context specified that being in a reschedule period was "
"permitted.")
return
if ti.state not in self.RESCHEDULEABLE_STATES:
yield self._passing_status(
reason="The task instance is not in State_UP_FOR_RESCHEDULE or NONE state.")
return
task_reschedules = TaskReschedule.find_for_task_instance(task_instance=ti)
if not task_reschedules:
yield self._passing_status(
reason="There is no reschedule request for this task instance.")
return
now = timezone.utcnow()
next_reschedule_date = task_reschedules[-1].reschedule_date
if now >= next_reschedule_date:
yield self._passing_status(
reason="Task instance id ready for reschedule.")
return
yield self._failing_status(
reason="Task is not ready for reschedule yet but will be rescheduled "
"automatically. Current date is {0} and task will be rescheduled "
"at {1}.".format(now.isoformat(), next_reschedule_date.isoformat()))
def test_ok_with_reschedule_and_retry(self):
sensor = self._make_sensor(
return_value=None,
poke_interval=10,
timeout=5,
retries=1,
retry_delay=timedelta(seconds=10),
mode='reschedule')
sensor.poke = Mock(side_effect=[False, False, False, True])
dr = self._make_dag_run()
# first poke returns False and task is re-scheduled
date1 = timezone.utcnow()
with freeze_time(date1):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
self.assertEqual(ti.state, State.UP_FOR_RESCHEDULE)
# verify one row in task_reschedule table
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 1)
self.assertEqual(task_reschedules[0].start_date, date1)
self.assertEqual(task_reschedules[0].reschedule_date,
date1 + timedelta(seconds=sensor.poke_interval))
self.assertEqual(task_reschedules[0].try_number, 1)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# second poke fails and task instance is marked up to retry
date2 = date1 + timedelta(seconds=sensor.poke_interval)
with freeze_time(date2):
with self.assertRaises(AirflowSensorTimeout):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
self.assertEqual(ti.state, State.UP_FOR_RETRY)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# third poke returns False and task is rescheduled again
date3 = date2 + timedelta(seconds=sensor.poke_interval) + sensor.retry_delay
with freeze_time(date3):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
self.assertEqual(ti.state, State.UP_FOR_RESCHEDULE)
# verify one row in task_reschedule table
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 1)
self.assertEqual(task_reschedules[0].start_date, date3)
self.assertEqual(task_reschedules[0].reschedule_date,
date3 + timedelta(seconds=sensor.poke_interval))
self.assertEqual(task_reschedules[0].try_number, 2)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# fourth poke return True and task succeeds
date4 = date3 + timedelta(seconds=sensor.poke_interval)
with freeze_time(date4):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
self.assertEqual(ti.state, State.SUCCESS)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
def test_ok_with_reschedule(self):
sensor = self._make_sensor(
return_value=None,
poke_interval=10,
timeout=25,
mode='reschedule')
sensor.poke = Mock(side_effect=[False, False, True])
dr = self._make_dag_run()
# first poke returns False and task is re-scheduled
date1 = timezone.utcnow()
with freeze_time(date1):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
# verify task is re-scheduled, i.e. state set to NONE
self.assertEqual(ti.state, State.UP_FOR_RESCHEDULE)
# verify task start date is the initial one
self.assertEqual(ti.start_date, date1)
# verify one row in task_reschedule table
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 1)
self.assertEqual(task_reschedules[0].start_date, date1)
self.assertEqual(task_reschedules[0].reschedule_date,
date1 + timedelta(seconds=sensor.poke_interval))
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# second poke returns False and task is re-scheduled
date2 = date1 + timedelta(seconds=sensor.poke_interval)
with freeze_time(date2):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
# verify task is re-scheduled, i.e. state set to NONE
self.assertEqual(ti.state, State.UP_FOR_RESCHEDULE)
# verify task start date is the initial one
self.assertEqual(ti.start_date, date1)
# verify two rows in task_reschedule table
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 2)
self.assertEqual(task_reschedules[1].start_date, date2)
self.assertEqual(task_reschedules[1].reschedule_date,
date2 + timedelta(seconds=sensor.poke_interval))
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# third poke returns True and task succeeds
date3 = date2 + timedelta(seconds=sensor.poke_interval)
with freeze_time(date3):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
self.assertEqual(ti.state, State.SUCCESS)
# verify task start date is the initial one
self.assertEqual(ti.start_date, date1)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
def test_ok_with_reschedule_and_retry(self):
sensor = self._make_sensor(return_value=None,
poke_interval=10,
timeout=5,
retries=1,
retry_delay=timedelta(seconds=10),
mode='reschedule')
sensor.poke = Mock(side_effect=[False, False, False, True])
dr = self._make_dag_run()
# first poke returns False and task is re-scheduled
date1 = timezone.utcnow()
with freeze_time(date1):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
self.assertEqual(ti.state, State.UP_FOR_RESCHEDULE)
# verify one row in task_reschedule table
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 1)
self.assertEqual(task_reschedules[0].start_date, date1)
self.assertEqual(
task_reschedules[0].reschedule_date,
date1 + timedelta(seconds=sensor.poke_interval))
self.assertEqual(task_reschedules[0].try_number, 1)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# second poke fails and task instance is marked up to retry
date2 = date1 + timedelta(seconds=sensor.poke_interval)
with freeze_time(date2):
with self.assertRaises(AirflowSensorTimeout):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
self.assertEqual(ti.state, State.UP_FOR_RETRY)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# third poke returns False and task is rescheduled again
date3 = date2 + timedelta(
seconds=sensor.poke_interval) + sensor.retry_delay
with freeze_time(date3):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
self.assertEqual(ti.state, State.UP_FOR_RESCHEDULE)
# verify one row in task_reschedule table
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 1)
self.assertEqual(task_reschedules[0].start_date, date3)
self.assertEqual(
task_reschedules[0].reschedule_date,
date3 + timedelta(seconds=sensor.poke_interval))
self.assertEqual(task_reschedules[0].try_number, 2)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# fourth poke return True and task succeeds
date4 = date3 + timedelta(seconds=sensor.poke_interval)
with freeze_time(date4):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
self.assertEqual(ti.state, State.SUCCESS)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
def test_ok_with_reschedule(self):
sensor = self._make_sensor(return_value=None,
poke_interval=10,
timeout=25,
mode='reschedule')
sensor.poke = Mock(side_effect=[False, False, True])
dr = self._make_dag_run()
# first poke returns False and task is re-scheduled
date1 = timezone.utcnow()
with freeze_time(date1):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
# verify task is re-scheduled, i.e. state set to NONE
self.assertEqual(ti.state, State.UP_FOR_RESCHEDULE)
# verify task start date is the initial one
self.assertEqual(ti.start_date, date1)
# verify one row in task_reschedule table
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 1)
self.assertEqual(task_reschedules[0].start_date, date1)
self.assertEqual(
task_reschedules[0].reschedule_date,
date1 + timedelta(seconds=sensor.poke_interval))
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# second poke returns False and task is re-scheduled
date2 = date1 + timedelta(seconds=sensor.poke_interval)
with freeze_time(date2):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
# verify task is re-scheduled, i.e. state set to NONE
self.assertEqual(ti.state, State.UP_FOR_RESCHEDULE)
# verify task start date is the initial one
self.assertEqual(ti.start_date, date1)
# verify two rows in task_reschedule table
task_reschedules = TaskReschedule.find_for_task_instance(ti)
self.assertEqual(len(task_reschedules), 2)
self.assertEqual(task_reschedules[1].start_date, date2)
self.assertEqual(
task_reschedules[1].reschedule_date,
date2 + timedelta(seconds=sensor.poke_interval))
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)
# third poke returns True and task succeeds
date3 = date2 + timedelta(seconds=sensor.poke_interval)
with freeze_time(date3):
self._run(sensor)
tis = dr.get_task_instances()
self.assertEqual(len(tis), 2)
for ti in tis:
if ti.task_id == SENSOR_OP:
self.assertEqual(ti.state, State.SUCCESS)
# verify task start date is the initial one
self.assertEqual(ti.start_date, date1)
if ti.task_id == DUMMY_OP:
self.assertEqual(ti.state, State.NONE)