def c_task_instance(**kwargs):
""" Creates a task instance for testing """
task_instance = TaskInstance()
task_instance.task_key = 'foo.bar'
task_instance.status = STATUS_STOPPED
task_instance.__dict__.update(kwargs)
task_instance.save()
return task_instance
def setUp(self):
TaskManagerTestCaseMixIn.setUp(self)
self.completion = {}
for task in self.tasks:
self.completion[task] = None
self.task_instances = []
for task in self.tasks:
#queued tasks
task_instance = TaskInstance()
task_instance.task_key=task
task_instance.save()
self.task_instances.append(task_instance)
#running tasks
task_instance = TaskInstance()
task_instance.task_key=task
task_instance.started = datetime.now()
task_instance.save()
self.task_instances.append(task_instance)
#finished tasks
task_instance = TaskInstance()
task_instance.task_key=task
task_instance.started = datetime.now()
completed_time = datetime.now()
task_instance.completed = completed_time
task_instance.save()
self.completion[task] = completed_time
self.task_instances.append(task_instance)
#failed tasks
task_instance = TaskInstance()
task_instance.task_key=task
task_instance.started = datetime.now()
task_instance.status = -1
task_instance.save()
self.task_instances.append(task_instance)
def setUp(self):
self.tasks = [
'demo.demo_task.TestTask',
'demo.demo_task.TestContainerTask',
'demo.demo_task.TestParallelTask'
]
self.completion = {}
for task in self.tasks:
self.completion[task] = None
# setup manager with an internal cache we can alter
self.manager = TaskManager(None, lazy_init=True)
pydra_settings.TASK_DIR_INTERNAL = '/var/lib/pydra/test_tasks_internal'
# find at least one task package to use for testing
self.package = 'demo'
self.package_dir = '%s/%s' % (self.manager.tasks_dir_internal, self.package)
self.task_instances = []
for task in self.tasks [:2]:
#queued tasks
task_instance = TaskInstance()
task_instance.task_key=task
task_instance.save()
self.task_instances.append(task_instance)
#running tasks
task_instance = TaskInstance()
task_instance.task_key=task
task_instance.started = datetime.now()
task_instance.save()
self.task_instances.append(task_instance)
#finished tasks
task_instance = TaskInstance()
task_instance.task_key=task
task_instance.started = datetime.now()
completed_time = datetime.now()
task_instance.completed = completed_time
task_instance.save()
self.completion[task] = completed_time
self.task_instances.append(task_instance)
#failed tasks
task_instance = TaskInstance()
task_instance.task_key=task
task_instance.started = datetime.now()
task_instance.status = -1
task_instance.save()
self.task_instances.append(task_instance)
def _queue_task(self, task_key, args={}, priority=5):
"""
Adds a (root) task that is to be run.
Under the hood, the scheduler creates a task instance for the task, puts
it into the queue, and then tries to advance the queue.
"""
logger.info('Queued Task: %s - Args: %s' % (task_key, args))
task_instance = TaskInstance()
task_instance.task_key = task_key
task_instance.priority = priority
task_instance.args = simplejson.dumps(args)
task_instance.queued = datetime.now()
task_instance.status = STATUS_STOPPED
task_instance.save()
# queue the root task as the first work request. This lets the queue
# advancement logic to function the same for a root task or a subtask
task_instance.queue_worker_request(task_instance)
with self._queue_lock:
heappush(self._queue, [task_instance.compute_score(),task_instance])
# cache this task
self._active_tasks[task_instance.id] = task_instance
threads.deferToThread(self._schedule)
return task_instance
