def __init__(self,
namespace=None,
runs=1,
output=None,
cleanup=True,
labels=None,
job_name=DEFAULT_JOB_NAME,
stream_log=True,
deployer_type=DEPLOPYER_TYPE,
pod_spec_mutators=None):
if namespace is None:
self.namespace = utils.get_default_target_namespace()
else:
self.namespace = namespace
# Used as pod and job name
self.job_name = job_name
self.deployment_spec = None
self.runs = runs
self.output = output
self.backend = KubeManager()
self.cleanup = cleanup
self.stream_log = stream_log
self.set_labels(labels, deployer_type)
self.pod_spec_mutators = pod_spec_mutators or []
def __init__(self,
framework,
default_model_uri=None,
canary_model_uri=None,
canary_traffic_percent=0,
namespace=None,
labels=None,
annotations=None,
custom_default_spec=None,
custom_canary_spec=None,
stream_log=True,
cleanup=False):
self.framework = framework
self.default_model_uri = default_model_uri
self.canary_model_uri = canary_model_uri
self.canary_traffic_percent = canary_traffic_percent
self.annotations = annotations
self.set_labels(labels)
self.cleanup = cleanup
self.custom_default_spec = custom_default_spec
self.custom_canary_spec = custom_canary_spec
self.stream_log = stream_log
self.backend = KubeManager()
if namespace is None:
self.namespace = utils.get_default_target_namespace()
else:
self.namespace = namespace
def __init__(self,
gcp_project=None,
credentials_file=os.environ.get(constants.GOOGLE_CREDS_ENV),
namespace='default'):
self.gcp_project = gcp_project
self.credentials_file = credentials_file
self.manager = KubeManager()
self.namespace = namespace
def get_builder(self,
preprocessor,
base_image,
registry,
needs_deps_installation=True,
pod_spec_mutators=None):
pod_spec_mutators = pod_spec_mutators or []
pod_spec_mutators.append(gcp.add_gcp_credentials_if_exists)
if not needs_deps_installation:
return AppendBuilder(preprocessor=preprocessor,
base_image=base_image,
registry=registry)
elif (fairing.utils.is_running_in_k8s() or
not ml_tasks_utils.is_docker_daemon_exists()) and \
KubeManager().secret_exists(constants.GCP_CREDS_SECRET_NAME, self._namespace):
return ClusterBuilder(preprocessor=preprocessor,
base_image=base_image,
registry=registry,
pod_spec_mutators=pod_spec_mutators,
namespace=self._namespace,
context_source=self._build_context_source)
elif ml_tasks_utils.is_docker_daemon_exists():
return DockerBuilder(preprocessor=preprocessor,
base_image=base_image,
registry=registry)
else:
msg = ["Not able to guess the right builder for this job!"]
if KubeManager().secret_exists(constants.GCP_CREDS_SECRET_NAME,
self._namespace):
msg.append(
"It seems you don't have permission to list/access secrets in your "
"Kubeflow cluster. We need this permission in order to build a docker "
"image using Kubeflow cluster. Adding Kubeneters Admin role to the "
"service account you are using might solve this issue.")
if not fairing.utils.is_running_in_k8s():
msg.append(
" Also If you are using 'sudo' to access docker in your system you can"
" solve this problem by adding your username to the docker group. "
"Reference: https://docs.docker.com/install/linux/linux-postinstall/"
"#manage-docker-as-a-non-root-user You need to logout and login to "
"get change activated.")
message = " ".join(msg)
raise RuntimeError(message)
def __init__(self, namespace=None, runs=1, output=None, labels={'fairing-deployer': 'job'}):
if namespace is None:
self.namespace = utils.get_default_target_namespace()
else:
self.namespace = namespace
# Used as pod and job name
self.deployment_spec = None
self.runs = runs
self.output = output
self.labels = labels
self.backend = KubeManager()
def __init__(self,
registry=None,
context_source=gcs_context.GCSContextSource(),
preprocessor=None,
base_image=constants.DEFAULT_BASE_IMAGE,
dockerfile_path=None):
super().__init__(
registry=registry,
preprocessor=preprocessor,
base_image=base_image,
)
self.manager = KubeManager()
self.context_source = context_source
def __init__(self,
region=None,
storage_account_name=None,
group_name=None,
container_name=None,
namespace='default'):
self.region = region or "westeurope"
# TODO ME note that the generated name is not necessarily unique due to truncation...
self.storage_account_name = storage_account_name or f"{uuid.uuid4().hex[:24]}"
self.container_name = container_name or "fairing-demo"
self.manager = KubeManager()
self.namespace = namespace
self.group_name = group_name
def get_azure_credentials(namespace):
secret_name = constants.AZURE_CREDS_SECRET_NAME
if not KubeManager().secret_exists(secret_name, namespace):
raise Exception("Secret '{}' not found in namespace '{}'".format(
secret_name, namespace))
v1 = client.CoreV1Api()
secret = v1.read_namespaced_secret(secret_name, namespace)
sp_credentials = ServicePrincipalCredentials(
client_id=get_plain_secret_value(secret.data, 'AZ_CLIENT_ID'),
secret=get_plain_secret_value(secret.data, 'AZ_CLIENT_SECRET'),
tenant=get_plain_secret_value(secret.data, 'AZ_TENANT_ID'))
subscription_id = get_plain_secret_value(secret.data, 'AZ_SUBSCRIPTION_ID')
return sp_credentials, subscription_id
def __init__(self,
registry=None,
image_name=constants.DEFAULT_IMAGE_NAME,
context_source=None,
preprocessor=None,
push=True,
base_image=constants.DEFAULT_BASE_IMAGE,
pod_spec_mutators=None,
namespace=None,
dockerfile_path=None):
super().__init__(
registry=registry,
image_name=image_name,
push=push,
preprocessor=preprocessor,
base_image=base_image)
self.manager = KubeManager()
if context_source is None:
raise RuntimeError("context_source is not specified")
self.context_source = context_source
self.pod_spec_mutators = pod_spec_mutators or []
self.namespace = namespace or fairing.utils.get_default_target_namespace()
def __init__(self,
registry=None,
image_name=constants.DEFAULT_IMAGE_NAME,
context_source=None,
preprocessor=None,
push=True,
base_image=constants.DEFAULT_BASE_IMAGE,
pod_spec_mutators=None,
namespace="kubeflow",
dockerfile_path=None):
super().__init__(
registry=registry,
image_name=image_name,
push=push,
preprocessor=preprocessor,
base_image=base_image,
)
self.manager = KubeManager()
if context_source is None:
context_source = gcs_context.GCSContextSource(namespace=namespace)
self.context_source = context_source
self.pod_spec_mutators = pod_spec_mutators or []
self.namespace = namespace
def __init__(self, aws_account=None, region=None, bucket_name=None):
self.aws_account = aws_account
self.manager = KubeManager()
self.region = region or 'us-east-1'
self.bucket_name = bucket_name
