def execute(self, context: 'Context'):
hook = CloudTasksHook(
gcp_conn_id=self.gcp_conn_id,
impersonation_chain=self.impersonation_chain,
)
task = hook.get_task(
location=self.location,
queue_name=self.queue_name,
task_name=self.task_name,
project_id=self.project_id,
response_view=self.response_view,
retry=self.retry,
timeout=self.timeout,
metadata=self.metadata,
)
return Task.to_dict(task)
def execute(self, context: 'Context'):
hook = CloudTasksHook(
gcp_conn_id=self.gcp_conn_id,
impersonation_chain=self.impersonation_chain,
)
tasks = hook.list_tasks(
location=self.location,
queue_name=self.queue_name,
project_id=self.project_id,
response_view=self.response_view,
page_size=self.page_size,
retry=self.retry,
timeout=self.timeout,
metadata=self.metadata,
)
return [Task.to_dict(t) for t in tasks]
def execute(self, context: 'Context'):
hook = CloudTasksHook(
gcp_conn_id=self.gcp_conn_id,
impersonation_chain=self.impersonation_chain,
)
task = hook.run_task(
location=self.location,
queue_name=self.queue_name,
task_name=self.task_name,
project_id=self.project_id,
response_view=self.response_view,
retry=self.retry,
timeout=self.timeout,
metadata=self.metadata,
)
CloudTasksQueueLink.persist(
operator_instance=self,
context=context,
queue_name=task.name,
)
return Task.to_dict(task)
def execute(self, context: 'Context'):
hook = CloudTasksHook(
gcp_conn_id=self.gcp_conn_id,
impersonation_chain=self.impersonation_chain,
)
tasks = hook.list_tasks(
location=self.location,
queue_name=self.queue_name,
project_id=self.project_id,
response_view=self.response_view,
page_size=self.page_size,
retry=self.retry,
timeout=self.timeout,
metadata=self.metadata,
)
CloudTasksQueueLink.persist(
operator_instance=self,
context=context,
queue_name=f"projects/{self.project_id or hook.project_id}/"
f"locations/{self.location}/queues/{self.queue_name}",
)
return [Task.to_dict(t) for t in tasks]
