def stop_notebook(self):
deployment_name = JOB_NAME_FORMAT.format(name=NOTEBOOK_JOB_NAME,
job_uuid=self.job_uuid)
try:
self.delete_deployment(name=deployment_name, reraise=True)
self.delete_service(name=deployment_name)
if self._use_ingress():
self.delete_ingress(name=deployment_name)
return True
except PolyaxonK8SError:
return False
def stop_tensorboard(self):
deployment_name = JOB_NAME_FORMAT.format(name=TENSORBOARD_JOB_NAME,
job_uuid=self.job_uuid)
try:
self.delete_deployment(name=deployment_name)
self.delete_service(name=deployment_name)
if self._use_ingress():
self.delete_ingress(name=deployment_name)
return True
except (PolyaxonK8SError, ConfigException):
return False
def get_deployment_spec(
namespace,
app,
name,
project_name,
project_uuid,
job_name,
job_uuid,
volume_mounts,
volumes,
image,
command,
args,
ports,
env_vars=None,
env_from=None,
container_name=None,
resources=None,
node_selector=None,
affinity=None,
tolerations=None,
role=None,
type=None, # pylint:disable=redefined-builtin
replicas=1,
service_account_name=None):
labels = get_labels(app=app,
project_name=project_name,
project_uuid=project_uuid,
job_name=job_name,
job_uuid=job_uuid,
role=role,
type=type)
metadata = client.V1ObjectMeta(name=JOB_NAME_FORMAT.format(
name=name, job_uuid=job_uuid),
labels=labels,
namespace=namespace)
pod_spec = get_project_pod_spec(volume_mounts=volume_mounts,
volumes=volumes,
image=image,
container_name=container_name,
command=command,
args=args,
resources=resources,
node_selector=node_selector,
affinity=affinity,
tolerations=tolerations,
ports=ports,
env_vars=env_vars,
env_from=env_from,
service_account_name=service_account_name)
template_spec = client.V1PodTemplateSpec(metadata=metadata, spec=pod_spec)
return client.AppsV1beta1DeploymentSpec(replicas=replicas,
template=template_spec)
def process_logs(build, temp=True):
pod_id = JOB_NAME_FORMAT.format(name=DOCKERIZER_JOB_NAME,
job_uuid=build.uuid.hex)
k8s_manager = K8SManager(namespace=settings.K8S_NAMESPACE, in_cluster=True)
log_lines = base.process_logs(
k8s_manager=k8s_manager,
pod_id=pod_id,
container_job_name=settings.CONTAINER_NAME_DOCKERIZER_JOB)
safe_log_job(job_name=build.unique_name,
log_lines=log_lines,
temp=temp,
append=False)
def start_dockerizer(self,
resources=None,
node_selector=None,
affinity=None,
tolerations=None):
volumes, volume_mounts = get_docker_volumes()
node_selector = get_node_selector(
node_selector=node_selector,
default_node_selector=conf.get('NODE_SELECTOR_BUILDS'))
affinity = get_affinity(
affinity=affinity,
default_affinity=conf.get('AFFINITY_BUILDS'))
tolerations = get_tolerations(
tolerations=tolerations,
default_tolerations=conf.get('TOLERATIONS_BUILDS'))
pod = pods.get_pod(
namespace=self.namespace,
app=conf.get('APP_LABELS_DOCKERIZER'),
name=DOCKERIZER_JOB_NAME,
project_name=self.project_name,
project_uuid=self.project_uuid,
job_name=self.job_name,
job_uuid=self.job_uuid,
volume_mounts=volume_mounts,
volumes=volumes,
image=conf.get('JOB_DOCKERIZER_IMAGE'),
image_pull_policy=conf.get('JOB_DOCKERIZER_IMAGE_PULL_POLICY'),
command=None,
args=[self.job_uuid],
ports=[],
env_vars=self.get_env_vars(),
container_name=conf.get('CONTAINER_NAME_DOCKERIZER_JOB'),
resources=resources,
node_selector=node_selector,
affinity=affinity,
tolerations=tolerations,
role=conf.get('ROLE_LABELS_WORKER'),
type=conf.get('TYPE_LABELS_RUNNER'),
service_account_name=conf.get('K8S_SERVICE_ACCOUNT_BUILDS'),
restart_policy='Never')
pod_name = JOB_NAME_FORMAT.format(job_uuid=self.job_uuid, name=DOCKERIZER_JOB_NAME)
pod_resp, _ = self.create_or_update_pod(name=pod_name, data=pod)
return pod_resp.to_dict()
async def job_logs_v2(request, ws, username, project_name, job_id):
job, message = validate_job(request=request,
username=username,
project_name=project_name,
job_id=job_id)
if job is None:
await ws.send(get_error_message(message))
return
job_uuid = job.uuid.hex
auditor.record(event_type=JOB_LOGS_VIEWED,
instance=job,
actor_id=request.app.user.id,
actor_name=request.app.user.username)
pod_id = JOB_NAME_FORMAT.format(name=JOB_NAME, job_uuid=job_uuid)
# Stream logs
await log_job(request=request,
ws=ws,
job=job,
pod_id=pod_id,
container=settings.CONTAINER_NAME_JOB,
namespace=settings.K8S_NAMESPACE)
def pod_id(self) -> str:
return JOB_NAME_FORMAT.format(name=DOCKERIZER_JOB_NAME,
job_uuid=self.uuid.hex)
def start_notebook(self,
image,
persistence_outputs=None,
persistence_data=None,
outputs_refs_jobs=None,
outputs_refs_experiments=None,
resources=None,
secret_refs=None,
configmap_refs=None,
node_selector=None,
affinity=None,
tolerations=None,
allow_commits=False):
ports = [self.request_notebook_port()]
target_ports = [self.PORT]
volumes, volume_mounts = get_pod_volumes(
persistence_outputs=persistence_outputs,
persistence_data=persistence_data)
refs_volumes, refs_volume_mounts = get_pod_refs_outputs_volumes(
outputs_refs=outputs_refs_jobs,
persistence_outputs=persistence_outputs)
volumes += refs_volumes
volume_mounts += refs_volume_mounts
refs_volumes, refs_volume_mounts = get_pod_refs_outputs_volumes(
outputs_refs=outputs_refs_experiments,
persistence_outputs=persistence_outputs)
volumes += refs_volumes
volume_mounts += refs_volume_mounts
shm_volumes, shm_volume_mounts = get_shm_volumes()
volumes += shm_volumes
volume_mounts += shm_volume_mounts
env_vars = get_job_env_vars(
persistence_outputs=persistence_outputs,
outputs_path=get_notebook_job_outputs_path(
persistence_outputs=persistence_outputs,
notebook_job=self.job_name),
persistence_data=persistence_data,
outputs_refs_jobs=outputs_refs_jobs,
outputs_refs_experiments=outputs_refs_experiments)
secret_refs = validate_secret_refs(secret_refs)
configmap_refs = validate_configmap_refs(configmap_refs)
env_from = get_pod_env_from(secret_refs=secret_refs,
configmap_refs=configmap_refs)
code_volume, code_volume_mount = self.get_notebook_code_volume()
volumes.append(code_volume)
volume_mounts.append(code_volume_mount)
deployment_name = JOB_NAME_FORMAT.format(name=NOTEBOOK_JOB_NAME,
job_uuid=self.job_uuid)
node_selector = get_node_selector(
node_selector=node_selector,
default_node_selector=settings.NODE_SELECTOR_EXPERIMENTS)
affinity = get_affinity(affinity=affinity,
default_affinity=settings.AFFINITY_EXPERIMENTS)
tolerations = get_tolerations(
tolerations=tolerations,
default_tolerations=settings.TOLERATIONS_EXPERIMENTS)
deployment = deployments.get_deployment(
namespace=self.namespace,
app=settings.APP_LABELS_NOTEBOOK,
name=NOTEBOOK_JOB_NAME,
project_name=self.project_name,
project_uuid=self.project_uuid,
job_name=self.job_name,
job_uuid=self.job_uuid,
volume_mounts=volume_mounts,
volumes=volumes,
image=image,
command=["/bin/sh", "-c"],
args=self.get_notebook_args(deployment_name=deployment_name,
ports=ports,
allow_commits=allow_commits),
ports=target_ports,
container_name=settings.CONTAINER_NAME_PLUGIN_JOB,
env_vars=env_vars,
env_from=env_from,
resources=resources,
node_selector=node_selector,
affinity=affinity,
tolerations=tolerations,
role=settings.ROLE_LABELS_DASHBOARD,
type=settings.TYPE_LABELS_RUNNER,
service_account_name=settings.K8S_SERVICE_ACCOUNT_EXPERIMENTS)
deployment_labels = deployments.get_labels(
app=settings.APP_LABELS_NOTEBOOK,
project_name=self.project_name,
project_uuid=self.project_uuid,
job_name=self.job_name,
job_uuid=self.job_uuid,
role=settings.ROLE_LABELS_DASHBOARD,
type=settings.TYPE_LABELS_RUNNER)
dep_resp, _ = self.create_or_update_deployment(name=deployment_name,
data=deployment)
service = services.get_service(namespace=self.namespace,
name=deployment_name,
labels=deployment_labels,
ports=ports,
target_ports=target_ports,
service_type=self._get_service_type())
service_resp, _ = self.create_or_update_service(name=deployment_name,
data=service)
results = {
'deployment': dep_resp.to_dict(),
'service': service_resp.to_dict()
}
if self._use_ingress():
annotations = json.loads(settings.K8S_INGRESS_ANNOTATIONS)
paths = [{
'path':
'/notebook/{}'.format(self.project_name.replace('.', '/')),
'backend': {
'serviceName': deployment_name,
'servicePort': ports[0]
}
}]
ingress = ingresses.get_ingress(namespace=self.namespace,
name=deployment_name,
labels=deployment_labels,
annotations=annotations,
paths=paths)
self.create_or_update_ingress(name=deployment_name, data=ingress)
return results
def pod_id(self) -> str:
return JOB_NAME_FORMAT.format(name=TENSORBOARD_JOB_NAME, job_uuid=self.uuid.hex)
def get_resource_name(self):
return JOB_NAME_FORMAT.format(name=self.name, job_uuid=self.job_uuid)
def pod_id(self):
return JOB_NAME_FORMAT.format(name=JOB_NAME, job_uuid=self.uuid.hex)
def get_deployment(
namespace,
app,
name,
project_name,
project_uuid,
job_name,
job_uuid,
volume_mounts,
volumes,
image,
command,
args,
ports,
container_name,
env_vars=None,
env_from=None,
resources=None,
node_selector=None,
affinity=None,
tolerations=None,
role=None,
type=None, # pylint:disable=redefined-builtin
replicas=1,
service_account_name=None):
labels = get_labels(app=app,
project_name=project_name,
project_uuid=project_uuid,
job_name=job_name,
job_uuid=job_uuid,
role=role,
type=type)
metadata = client.V1ObjectMeta(name=JOB_NAME_FORMAT.format(
name=name, job_uuid=job_uuid),
labels=labels,
namespace=namespace)
spec = get_deployment_spec(namespace=namespace,
app=app,
name=name,
project_name=project_name,
project_uuid=project_uuid,
job_name=job_name,
job_uuid=job_uuid,
volume_mounts=volume_mounts,
volumes=volumes,
image=image,
command=command,
args=args,
ports=ports,
env_vars=env_vars,
env_from=env_from,
container_name=container_name,
resources=resources,
node_selector=node_selector,
affinity=affinity,
tolerations=tolerations,
role=role,
type=type,
replicas=replicas,
service_account_name=service_account_name)
return client.AppsV1beta1Deployment(
api_version=k8s_constants.K8S_API_VERSION_EXTENSIONS_V1_BETA1,
kind=k8s_constants.K8S_DEPLOYMENT_KIND,
metadata=metadata,
spec=spec)
def pod_id(self) -> str:
return JOB_NAME_FORMAT.format(name=NOTEBOOK_JOB_NAME,
job_uuid=self.uuid.hex)
def start_tensorboard(self,
image,
outputs_path,
persistence_outputs,
outputs_specs=None,
outputs_refs_jobs=None,
outputs_refs_experiments=None,
resources=None,
node_selector=None,
affinity=None,
tolerations=None):
ports = [self.request_tensorboard_port()]
target_ports = [self.PORT]
volumes, volume_mounts = get_pod_outputs_volume(persistence_outputs)
refs_volumes, refs_volume_mounts = get_pod_refs_outputs_volumes(
outputs_refs=outputs_refs_jobs,
persistence_outputs=persistence_outputs)
volumes += refs_volumes
volume_mounts += refs_volume_mounts
refs_volumes, refs_volume_mounts = get_pod_refs_outputs_volumes(
outputs_refs=outputs_specs,
persistence_outputs=persistence_outputs)
volumes += refs_volumes
volume_mounts += refs_volume_mounts
refs_volumes, refs_volume_mounts = get_pod_refs_outputs_volumes(
outputs_refs=outputs_refs_experiments,
persistence_outputs=persistence_outputs)
volumes += refs_volumes
volume_mounts += refs_volume_mounts
# Add volumes for persistence outputs secrets
stores_secrets = get_stores_secrets(specs=outputs_specs)
self.validate_stores_secrets_keys(stores_secrets=stores_secrets)
secrets_volumes, secrets_volume_mounts = self.get_stores_secrets_volumes(
stores_secrets=stores_secrets)
volumes += secrets_volumes
volume_mounts += secrets_volume_mounts
# Get persistence outputs secrets auth commands
command_args = self.get_stores_secrets_command_args(
stores_secrets=stores_secrets)
command_args.append("tensorboard --logdir={} --port={}".format(
outputs_path, self.PORT))
node_selector = get_node_selector(
node_selector=node_selector,
default_node_selector=settings.NODE_SELECTOR_TENSORBOARDS)
affinity = get_affinity(
affinity=affinity, default_affinity=settings.AFFINITY_TENSORBOARDS)
tolerations = get_tolerations(
tolerations=tolerations,
default_tolerations=settings.TOLERATIONS_TENSORBOARDS)
deployment = deployments.get_deployment(
namespace=self.namespace,
app=settings.APP_LABELS_TENSORBOARD,
name=TENSORBOARD_JOB_NAME,
project_name=self.project_name,
project_uuid=self.project_uuid,
job_name=self.job_name,
job_uuid=self.job_uuid,
volume_mounts=volume_mounts,
volumes=volumes,
image=image,
command=["/bin/sh", "-c"],
args=[' && '.join(command_args)],
ports=target_ports,
container_name=settings.CONTAINER_NAME_PLUGIN_JOB,
resources=resources,
node_selector=node_selector,
affinity=affinity,
tolerations=tolerations,
role=settings.ROLE_LABELS_DASHBOARD,
type=settings.TYPE_LABELS_RUNNER)
deployment_name = JOB_NAME_FORMAT.format(name=TENSORBOARD_JOB_NAME,
job_uuid=self.job_uuid)
deployment_labels = deployments.get_labels(
app=settings.APP_LABELS_TENSORBOARD,
project_name=self.project_name,
project_uuid=self.project_uuid,
job_name=self.job_name,
job_uuid=self.job_uuid,
role=settings.ROLE_LABELS_DASHBOARD,
type=settings.TYPE_LABELS_RUNNER)
dep_resp, _ = self.create_or_update_deployment(name=deployment_name,
data=deployment)
service = services.get_service(namespace=self.namespace,
name=deployment_name,
labels=deployment_labels,
ports=ports,
target_ports=target_ports,
service_type=self._get_service_type())
service_resp, _ = self.create_or_update_service(name=deployment_name,
data=service)
results = {
'deployment': dep_resp.to_dict(),
'service': service_resp.to_dict()
}
if self._use_ingress():
annotations = json.loads(settings.K8S_INGRESS_ANNOTATIONS)
paths = [{
'path':
'/tensorboard/{}'.format(self.project_name.replace('.', '/')),
'backend': {
'serviceName': deployment_name,
'servicePort': ports[0]
}
}]
ingress = ingresses.get_ingress(namespace=self.namespace,
name=deployment_name,
labels=deployment_labels,
annotations=annotations,
paths=paths)
self.create_or_update_ingress(name=deployment_name, data=ingress)
return results
def get_k8s_job_name(self):
return JOB_NAME_FORMAT.format(name=self.name, job_uuid=self.job_uuid)
