mirror of
https://github.com/hanzo-ml/trainer.git
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145 lines
6.2 KiB
Go
145 lines
6.2 KiB
Go
/*
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Copyright 2025 The Kubeflow Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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package controller
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import (
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"github.com/onsi/ginkgo/v2"
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"github.com/onsi/gomega"
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corev1 "k8s.io/api/core/v1"
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metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
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"sigs.k8s.io/controller-runtime/pkg/client"
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trainer "github.com/kubeflow/trainer/v2/pkg/apis/trainer/v1alpha1"
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"github.com/kubeflow/trainer/v2/pkg/constants"
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utiltesting "github.com/kubeflow/trainer/v2/pkg/util/testing"
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"github.com/kubeflow/trainer/v2/test/integration/framework"
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"github.com/kubeflow/trainer/v2/test/util"
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)
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var _ = ginkgo.Describe("ClusterTrainingRuntime controller", ginkgo.Ordered, func() {
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var ns *corev1.Namespace
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ginkgo.BeforeAll(func() {
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fwk = &framework.Framework{}
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cfg := fwk.Init()
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ctx, k8sClient = fwk.RunManager(cfg, true)
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})
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ginkgo.AfterAll(func() {
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fwk.Teardown()
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})
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ginkgo.BeforeEach(func() {
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ns = &corev1.Namespace{
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TypeMeta: metav1.TypeMeta{
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APIVersion: corev1.SchemeGroupVersion.String(),
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Kind: "Namespace",
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},
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ObjectMeta: metav1.ObjectMeta{
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GenerateName: "clustertrainingruntime-",
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},
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}
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gomega.Expect(k8sClient.Create(ctx, ns)).Should(gomega.Succeed())
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})
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ginkgo.When("Reconcile ClusterTrainingRuntime", func() {
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var (
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trainJob *trainer.TrainJob
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clTrainingRuntime *trainer.ClusterTrainingRuntime
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clTrainingRuntimeKey client.ObjectKey
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)
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ginkgo.BeforeEach(func() {
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clTrainingRuntime = utiltesting.MakeClusterTrainingRuntimeWrapper("alpha").
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Obj()
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clTrainingRuntimeKey = client.ObjectKeyFromObject(clTrainingRuntime)
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trainJob = utiltesting.MakeTrainJobWrapper(ns.Name, "alpha").
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RuntimeRef(trainer.SchemeGroupVersion.WithKind(trainer.ClusterTrainingRuntimeKind), clTrainingRuntime.Name).
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Obj()
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})
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ginkgo.AfterEach(func() {
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gomega.Expect(k8sClient.DeleteAllOf(ctx, &trainer.TrainJob{}, client.InNamespace(ns.Name))).Should(gomega.Succeed())
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gomega.Expect(k8sClient.DeleteAllOf(ctx, &trainer.ClusterTrainingRuntime{})).Should(gomega.Succeed())
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gomega.Eventually(func(g gomega.Gomega) {
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trainJobs := &trainer.TrainJobList{}
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g.Expect(k8sClient.List(ctx, trainJobs, client.InNamespace(ns.Name))).Should(gomega.Succeed())
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g.Expect(trainJobs.Items).Should(gomega.HaveLen(0))
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clRuntimes := &trainer.ClusterTrainingRuntimeList{}
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g.Expect(k8sClient.List(ctx, clRuntimes)).Should(gomega.Succeed())
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g.Expect(clRuntimes.Items).Should(gomega.HaveLen(0))
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}, util.Timeout, util.Interval).Should(gomega.Succeed())
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})
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ginkgo.It("ClusterTrainingRuntime obtains finalizer when TrainJob with ClusterTrainingRuntime is created", func() {
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ginkgo.By("Creating a ClusterTrainingRuntime")
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gomega.Expect(k8sClient.Create(ctx, clTrainingRuntime)).Should(gomega.Succeed())
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ginkgo.By("Checking if the ClusterTrainingRuntime does not keep obtaining finalizers")
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gomega.Consistently(func(g gomega.Gomega) {
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g.Expect(k8sClient.Get(ctx, clTrainingRuntimeKey, clTrainingRuntime)).Should(gomega.Succeed())
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g.Expect(clTrainingRuntime.ObjectMeta.Finalizers).Should(gomega.HaveLen(0))
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}, util.ConsistentDuration, util.Interval).Should(gomega.Succeed())
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ginkgo.By("Creating a TrainJob")
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gomega.Expect(k8sClient.Create(ctx, trainJob)).Should(gomega.Succeed())
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ginkgo.By("Checking if the ClusterTrainingRuntime obtains finalizers")
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gomega.Eventually(func(g gomega.Gomega) {
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g.Expect(k8sClient.Get(ctx, clTrainingRuntimeKey, clTrainingRuntime)).Should(gomega.Succeed())
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g.Expect(clTrainingRuntime.ObjectMeta.Finalizers).Should(gomega.BeComparableTo(
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[]string{constants.ResourceInUseFinalizer},
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))
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}, util.Timeout, util.Interval).Should(gomega.Succeed())
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})
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ginkgo.It("ClusterTrainingRuntime can be deleted once referenced TrainJob is deleted", func() {
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ginkgo.By("Creating a ClusterTrainingRuntime and TrainJob")
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gomega.Expect(k8sClient.Create(ctx, clTrainingRuntime)).Should(gomega.Succeed())
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gomega.Eventually(func(g gomega.Gomega) {
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g.Expect(k8sClient.Get(ctx, client.ObjectKeyFromObject(clTrainingRuntime), clTrainingRuntime)).Should(gomega.Succeed())
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}, util.Timeout, util.Interval).Should(gomega.Succeed())
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gomega.Expect(k8sClient.Create(ctx, trainJob)).Should(gomega.Succeed())
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ginkgo.By("Checking if the ClusterTrainingRuntime obtains finalizers")
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gomega.Eventually(func(g gomega.Gomega) {
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g.Expect(k8sClient.Get(ctx, clTrainingRuntimeKey, clTrainingRuntime)).Should(gomega.Succeed())
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g.Expect(clTrainingRuntime.ObjectMeta.Finalizers).Should(gomega.BeComparableTo(
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[]string{constants.ResourceInUseFinalizer},
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))
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}, util.Timeout, util.Interval).Should(gomega.Succeed())
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ginkgo.By("Delete a TrainJob")
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gomega.Expect(k8sClient.Delete(ctx, trainJob)).Should(gomega.Succeed())
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gomega.Eventually(func(g gomega.Gomega) {
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g.Expect(k8sClient.Get(ctx, client.ObjectKeyFromObject(trainJob), trainJob)).Should(utiltesting.BeNotFoundError())
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}, util.Timeout, util.Interval).Should(gomega.Succeed())
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ginkgo.By("Checking if the ClusterTrainingRuntime keeps having finalizers")
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gomega.Eventually(func(g gomega.Gomega) {
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g.Expect(k8sClient.Get(ctx, clTrainingRuntimeKey, clTrainingRuntime)).Should(gomega.Succeed())
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g.Expect(clTrainingRuntime.ObjectMeta.Finalizers).Should(gomega.BeComparableTo(
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[]string{constants.ResourceInUseFinalizer},
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))
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}, util.Timeout, util.Interval).Should(gomega.Succeed())
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ginkgo.By("Checking if the ClusterTrainingRuntime can be deleted")
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gomega.Expect(k8sClient.Delete(ctx, clTrainingRuntime)).Should(gomega.Succeed())
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gomega.Eventually(func(g gomega.Gomega) {
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g.Expect(k8sClient.Get(ctx, clTrainingRuntimeKey, clTrainingRuntime)).Should(utiltesting.BeNotFoundError())
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}, util.Timeout, util.Interval).Should(gomega.Succeed())
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})
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})
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})
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