def run(self):
"""
Create a stateful container, and wait for it to be running.
"""
volumes = [
MountedDataset(dataset_id=self.dataset_id,
mountpoint=self.mountpoint)
]
d = create_container(self.reactor, self.control_service,
self.node_uuid, self.name, self.image, volumes)
return d
def run(self):
"""
Create a stateful container, and wait for it to be running.
"""
volumes = [
MountedDataset(
dataset_id=self.dataset_id, mountpoint=self.mountpoint
)
]
d = create_container(
self.reactor, self.control_service, self.node_uuid, self.name,
self.image, volumes
)
return d
def parallel_setup(node):
# Ensure the Docker image is cached by starting and stopping a
# container.
name = unicode(uuid4())
container_setup = create_container(reactor, control_service,
node.uuid, name, image)
container_setup.addCallback(
partial(delete_container, reactor, control_service))
# Create the dataset
dataset_id = uuid4()
dataset_setup = create_dataset(reactor, control_service, node.uuid,
dataset_id, volume_size)
d = gather_deferreds((container_setup, dataset_setup))
# Return only the dataset state
d.addCallback(lambda results: results[1])
return d
def start_container(dataset):
volume = MountedDataset(dataset_id=dataset.dataset_id,
mountpoint=self.mountpoint)
d = create_container(self.reactor,
control_service=self.client,
node_uuid=node.uuid,
name=unicode(uuid4()),
image=self.image,
volumes=[volume],
timeout=self.timeout)
# If container creation fails, delete dataset as well
def delete_dataset(failure):
d = self.client.delete_dataset(dataset.dataset_id)
d.addErrback(write_failure)
d.addBoth(lambda _ignore: failure)
return d
d.addErrback(delete_dataset)
return d
def start_container(dataset):
volume = MountedDataset(dataset_id=dataset.dataset_id, mountpoint=self.mountpoint)
d = create_container(
self.reactor,
control_service=self.client,
node_uuid=node.uuid,
name=unicode(uuid4()),
image=self.image,
volumes=[volume],
timeout=self.timeout,
)
# If container creation fails, delete dataset as well
def delete_dataset(failure):
d = self.client.delete_dataset(dataset.dataset_id)
d.addErrback(write_failure)
d.addBoth(lambda _ignore: failure)
return d
d.addErrback(delete_dataset)
return d
def parallel_setup(node):
# Ensure the Docker image is cached by starting and stopping a
# container.
name = unicode(uuid4())
container_setup = create_container(
reactor, control_service, node.uuid, name, image
)
container_setup.addCallback(
partial(delete_container, reactor, control_service)
)
# Create the dataset
dataset_id = uuid4()
dataset_setup = create_dataset(
reactor, control_service, node.uuid, dataset_id, volume_size
)
d = gather_deferreds((container_setup, dataset_setup))
# Return only the dataset state
d.addCallback(lambda results: results[1])
return d
