def get_builder(
self,
preprocessor,
base_image,
registry,
needs_deps_installation=True, # pylint:disable=arguments-differ
pod_spec_mutators=None):
if not needs_deps_installation:
return AppendBuilder(preprocessor=preprocessor,
base_image=base_image,
registry=registry)
elif fairing.utils.is_running_in_k8s():
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:
# TODO (karthikv2k): Add more info on how to reolve this issue
raise RuntimeError(
"Not able to guess the right builder for this job!")
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)
# TODO (karthikv2k): Add cloud build as the deafult
# once https://github.com/kubeflow/fairing/issues/145 is fixed
if fairing.utils.is_running_in_k8s():
return ClusterBuilder(preprocessor=preprocessor,
base_image=base_image,
registry=registry,
pod_spec_mutators=pod_spec_mutators)
elif ml_tasks_utils.is_docker_daemon_exists():
return DockerBuilder(preprocessor=preprocessor,
base_image=base_image,
registry=registry)
elif not needs_deps_installation:
return AppendBuilder(preprocessor=preprocessor,
base_image=base_image,
registry=registry)
else:
# TODO (karthikv2k): Add more info on how to reolve this issue
raise RuntimeError(
"Not able to guess the right builder for this job!")
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)