pipelines/kubernetes_platform/python/test/unit/test_volume.py

191 lines
6.1 KiB
Python

# Copyright 2023 The Kubeflow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from google.protobuf import json_format
from kfp import dsl
from kfp import kubernetes
import pytest
class TestMountPVC:
def test_mount_one(self):
@dsl.pipeline
def my_pipeline():
task = comp()
kubernetes.mount_pvc(
task,
pvc_name='pvc-name',
mount_path='path',
)
assert json_format.MessageToDict(my_pipeline.platform_spec) == {
'platforms': {
'kubernetes': {
'deploymentSpec': {
'executors': {
'exec-comp': {
'pvcMount': [{
'constant': 'pvc-name',
'mountPath': 'path'
}]
}
}
}
}
}
}
def test_mount_two(self):
@dsl.pipeline
def my_pipeline():
task = comp()
kubernetes.mount_pvc(
task,
pvc_name='pvc-name',
mount_path='path1',
)
kubernetes.mount_pvc(
task,
pvc_name='other-pvc-name',
mount_path='path2',
)
assert json_format.MessageToDict(my_pipeline.platform_spec) == {
'platforms': {
'kubernetes': {
'deploymentSpec': {
'executors': {
'exec-comp': {
'pvcMount': [
{
'constant': 'pvc-name',
'mountPath': 'path1'
},
{
'constant': 'other-pvc-name',
'mountPath': 'path2'
},
]
}
}
}
}
}
}
def test_mount_preserves_secret_as_env(self):
# checks that mount_pvc respects previously set secrets
@dsl.pipeline
def my_pipeline():
task = comp()
kubernetes.use_secret_as_env(
task,
secret_name='secret-name',
secret_key_to_env={'password': 'SECRET_VAR'},
)
kubernetes.mount_pvc(
task,
pvc_name='pvc-name',
mount_path='path',
)
assert json_format.MessageToDict(my_pipeline.platform_spec) == {
'platforms': {
'kubernetes': {
'deploymentSpec': {
'executors': {
'exec-comp': {
'pvcMount': [{
'constant': 'pvc-name',
'mountPath': 'path'
}],
'secretAsEnv': [{
'secretName':
'secret-name',
'keyToEnv': [{
'secretKey': 'password',
'envVar': 'SECRET_VAR'
}]
}]
}
}
}
}
}
}
def test_mount_preserves_secret_as_vol(self):
# checks that mount_pvc respects previously set secrets
@dsl.pipeline
def my_pipeline():
task = comp()
kubernetes.use_secret_as_volume(
task,
secret_name='secret-name',
mount_path='secretpath',
)
kubernetes.mount_pvc(
task,
pvc_name='pvc-name',
mount_path='path',
)
assert json_format.MessageToDict(my_pipeline.platform_spec) == {
'platforms': {
'kubernetes': {
'deploymentSpec': {
'executors': {
'exec-comp': {
'pvcMount': [{
'constant': 'pvc-name',
'mountPath': 'path'
}],
'secretAsVolume': [{
'secretName': 'secret-name',
'mountPath': 'secretpath'
}]
}
}
}
}
}
}
def test_illegal_pvc_name(self):
@dsl.component
def identity(string: str) -> str:
return string
with pytest.raises(
ValueError,
match=r'Argument for \'pvc_name\' must be an instance of str or PipelineChannel\. Got unknown input type: <class \'int\'>\.',
):
@dsl.pipeline
def my_pipeline(string: str = 'string'):
op1 = kubernetes.mount_pvc(
identity(string=string),
pvc_name=1,
mount_path='/path',
)
@dsl.component
def comp():
pass