def run_trigger_task_function(self):
# waiting parsed dag file done,
time.sleep(5)
ns_client = NotificationClient(server_uri="localhost:{}".format(
self.port),
default_namespace="a")
client = EventSchedulerClient(ns_client=ns_client)
execution_context = client.schedule_dag('trigger_task')
while True:
with create_session() as session:
tes = session.query(TaskExecution).filter(
TaskExecution.dag_id == 'trigger_task',
TaskExecution.task_id == 'task_1').all()
if len(tes) > 0:
client.schedule_task('trigger_task', 'task_2',
SchedulingAction.START,
execution_context)
while True:
with create_session() as session_2:
tes_2 = session_2.query(TaskExecution).filter(
TaskExecution.dag_id == 'trigger_task',
TaskExecution.task_id == 'task_2').all()
if len(tes_2) > 0:
break
else:
time.sleep(1)
break
else:
time.sleep(1)
ns_client.send_event(StopSchedulerEvent(job_id=0).to_event())
def run_no_dag_file_function(self):
ns_client = NotificationClient(server_uri="localhost:{}".format(
self.port),
default_namespace="")
client = EventSchedulerClient(ns_client=ns_client)
with create_session() as session:
client.trigger_parse_dag()
result = client.schedule_dag('no_dag')
print('result {}'.format(result.dagrun_id))
time.sleep(5)
ns_client.send_event(StopSchedulerEvent(job_id=0).to_event())
def run_trigger_dag_function(self):
ns_client = NotificationClient(server_uri="localhost:{}".format(
self.port),
default_namespace="")
client = EventSchedulerClient(ns_client=ns_client)
while True:
with create_session() as session:
tes = session.query(TaskExecution).filter(
TaskExecution.dag_id == 'trigger_dag',
TaskExecution.task_id == 'task_1').all()
if len(tes) > 0:
break
else:
client.trigger_parse_dag()
result = client.schedule_dag('trigger_dag')
print('result {}'.format(result.dagrun_id))
time.sleep(5)
ns_client.send_event(StopSchedulerEvent(job_id=0).to_event())
class AirflowOperation(object):
def __init__(self,
notification_server_uri=None,
ns_client: NotificationClient = None):
self.server_uri = notification_server_uri
from airflow.contrib.jobs.event_based_scheduler_job import SCHEDULER_NAMESPACE
self.namespace = SCHEDULER_NAMESPACE
if ns_client is not None:
from airflow.contrib.jobs.scheduler_client import EventSchedulerClient
self.airflow_client = EventSchedulerClient(
ns_client=ns_client, namespace=SCHEDULER_NAMESPACE)
elif notification_server_uri is not None:
from airflow.contrib.jobs.scheduler_client import EventSchedulerClient
self.airflow_client = EventSchedulerClient(
server_uri=notification_server_uri,
namespace=SCHEDULER_NAMESPACE)
else:
raise Exception(
'notification_server_uri and ns_client can not both empty!')
def stop_workflow(self, workflow_name) -> bool:
"""
Stop the workflow. No more workflow execution(Airflow dag_run) would be scheduled and all running jobs would be stopped.
:param workflow_name: workflow name
:return: True if succeed
"""
# TODO For now, simply return True as long as message is sent successfully,
# actually we need a response from
try:
from airflow.contrib.jobs.event_based_scheduler_job import SCHEDULER_NAMESPACE
notification_client = NotificationClient(self.server_uri,
SCHEDULER_NAMESPACE)
from airflow.events.scheduler_events import StopDagEvent
notification_client.send_event(
StopDagEvent(workflow_name).to_event())
return True
except Exception:
return False
def suspend_workflow(workflow_name) -> bool:
"""
Suspend the workflow. No more dag_run would be scheduled.
:param workflow_name: workflow name
:return: True if succeed
"""
pass
def resume_workflow(workflow_name) -> bool:
"""
Resume a stopped workflow.
:param workflow_name: workflow name
:return: True if succeed
"""
pass
def trigger_workflow_execution(self, project_desc, workflow_name):
"""
Trigger a new instance of workflow immediately.
:param workflow_name: workflow name
:param project_desc: project desc
:return: True if a new instance is triggered
"""
deploy_path = project_desc.project_config.get_airflow_deploy_path()
if deploy_path is None:
raise Exception("airflow_deploy_path config not set!")
airflow_file_path = deploy_path + '/' + workflow_name + '.py'
self.airflow_client.trigger_parse_dag(airflow_file_path)
return self.airflow_client.schedule_dag(workflow_name)
def stop_workflow_execution(self, workflow_name, context) -> bool:
"""
Stop the specific workflow execution(Airflow dag_run)
"""
result = self.airflow_client.stop_dag_run(dag_id=workflow_name,
context=context)
if result and result.dagrun_id == context.dagrun_id:
return True
else:
return False
def start_task_instance(self, workflow_name, job_name, context) -> bool:
"""
Force start a task. if it is running, do nothing.
:param workflow_name: workflow name
:param job_name: job name
:param context: context of workflow instance
:return: True if the task is started
"""
from airflow.executors.scheduling_action import SchedulingAction
result = self.airflow_client.schedule_task(
dag_id=workflow_name,
task_id=job_name,
action=SchedulingAction.START,
context=context)
if result and result.dagrun_id == context.dagrun_id:
return True
else:
return False
def stop_task_instance(self, workflow_name, job_name, context) -> bool:
"""
Force stop a running task
:param workflow_name: workflow name
:param job_name: job name
:param context: context of workflow instance
:return: True if the task is stopped
"""
from airflow.executors.scheduling_action import SchedulingAction
result = self.airflow_client.schedule_task(
dag_id=workflow_name,
task_id=job_name,
action=SchedulingAction.STOP,
context=context)
if result and result.dagrun_id == context.dagrun_id:
return True
else:
return False
def restart_task_instance(self, workflow_name, job_name, context) -> bool:
"""
Force restart a task
:param workflow_name: workflow name
:param job_name: job name
:param context: context of workflow instance
:return: True if the task is restarted
"""
from airflow.executors.scheduling_action import SchedulingAction
result = self.airflow_client.schedule_task(
dag_id=workflow_name,
task_id=job_name,
action=SchedulingAction.RESTART,
context=context)
if result and result.dagrun_id == context.dagrun_id:
return True
else:
return False
def trigger_parse_dag(self, file_path):
"""Trigger a dag parse of specific file. """
return self.airflow_client.trigger_parse_dag(file_path)
class AirflowOperation(object):
def __init__(self,
notification_server_uri=None,
ns_client: NotificationClient = None):
self.server_uri = notification_server_uri
self.namespace = SCHEDULER_NAMESPACE
if ns_client is not None:
self.airflow_client = EventSchedulerClient(
ns_client=ns_client, namespace=SCHEDULER_NAMESPACE)
elif notification_server_uri is not None:
self.airflow_client = EventSchedulerClient(
server_uri=notification_server_uri,
namespace=SCHEDULER_NAMESPACE)
else:
raise Exception(
'notification_server_uri and ns_client can not both empty!')
def stop_workflow(self, workflow_name) -> bool:
"""
Stop the workflow. No more workflow execution(Airflow dag_run) would be scheduled and all running jobs would be stopped.
:param workflow_name: workflow name
:return: True if succeed
"""
# TODO For now, simply return True as long as message is sent successfully,
# actually we need a response from
try:
notification_client = NotificationClient(self.server_uri,
SCHEDULER_NAMESPACE)
notification_client.send_event(
StopDagEvent(workflow_name).to_event())
return True
except Exception:
return False
def suspend_workflow(workflow_name) -> bool:
"""
Suspend the workflow. No more dag_run would be scheduled.
:param workflow_name: workflow name
:return: True if succeed
"""
pass
def resume_workflow(workflow_name) -> bool:
"""
Resume a stopped workflow.
:param workflow_name: workflow name
:return: True if succeed
"""
pass
def trigger_workflow_execution(self, workflow_name) -> ExecutionContext:
"""
Trigger a new instance of workflow immediately.
:param workflow_name: workflow name
:return: True if a new instance is triggered
"""
self.airflow_client.trigger_parse_dag()
return self.airflow_client.schedule_dag(workflow_name)
def stop_workflow_execution(self, workflow_name, context) -> bool:
"""
Stop the specific workflow execution(Airflow dag_run)
"""
result = self.airflow_client.stop_dag_run(dag_id=workflow_name,
context=context)
if result and result.dagrun_id == context.dagrun_id:
return True
else:
return False
def start_task_instance(self, workflow_name, job_name,
context: ExecutionContext) -> bool:
"""
Force start a task. if it is running, do nothing.
:param workflow_name: workflow name
:param job_name: job name
:param context: context of workflow instance
:return: True if the task is started
"""
result = self.airflow_client.schedule_task(
dag_id=workflow_name,
task_id=job_name,
action=SchedulingAction.START,
context=context)
if result and result.dagrun_id == context.dagrun_id:
return True
else:
return False
def stop_task_instance(self, workflow_name, job_name,
context: ExecutionContext) -> bool:
"""
Force stop a running task
:param workflow_name: workflow name
:param job_name: job name
:param context: context of workflow instance
:return: True if the task is stopped
"""
result = self.airflow_client.schedule_task(
dag_id=workflow_name,
task_id=job_name,
action=SchedulingAction.STOP,
context=context)
if result and result.dagrun_id == context.dagrun_id:
return True
else:
return False
def restart_task_instance(self, workflow_name, job_name,
context: ExecutionContext) -> bool:
"""
Force restart a task
:param workflow_name: workflow name
:param job_name: job name
:param context: context of workflow instance
:return: True if the task is restarted
"""
result = self.airflow_client.schedule_task(
dag_id=workflow_name,
task_id=job_name,
action=SchedulingAction.RESTART,
context=context)
if result and result.dagrun_id == context.dagrun_id:
return True
else:
return False
def trigger_parse_dag(self):
"""Trigger a dag parse. """
return self.airflow_client.trigger_parse_dag()