diff --git a/.github/workflows/scheduled-image-scan.yml b/.github/workflows/scheduled-image-scan.yml index 1ad2ff3672c..721baecd63d 100644 --- a/.github/workflows/scheduled-image-scan.yml +++ b/.github/workflows/scheduled-image-scan.yml @@ -24,6 +24,7 @@ jobs: file: python/storage-initializer.Dockerfile, }, { name: router, file: router.Dockerfile }, + { name: kserve-localmodel-controller, file: localmodel.Dockerfile }, ] steps: @@ -70,6 +71,8 @@ jobs: { name: xgbserver, file: python/xgb.Dockerfile }, { name: pmmlserver, file: python/pmml.Dockerfile }, { name: paddleserver, file: python/paddle.Dockerfile }, + { name: lgbserver, file: python/lgb.Dockerfile }, + { name: huggingfaceserver, file: python/huggingface_server.Dockerfile }, ] steps: diff --git a/README.md b/README.md index 3e7955d7090..0209a68e5af 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,7 @@ [![Releases](https://img.shields.io/github/release-pre/opendatahub-io/kserve.svg?sort=semver)](https://github.com/opendatahub-io/kserve/releases) [![LICENSE](https://img.shields.io/github/license/opendatahub-io/kserve.svg)](https://github.com/opendatahub-io/kserve/blob/master/LICENSE) [![Slack Status](https://img.shields.io/badge/slack-join_chat-white.svg?logo=slack&style=social)](https://github.com/kserve/community/blob/main/README.md#questions-and-issues) +[![Gurubase](https://img.shields.io/badge/Gurubase-Ask%20KServe%20Guru-006BFF)](https://gurubase.io/g/kserve) KServe provides a Kubernetes [Custom Resource Definition](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/) for serving predictive and generative machine learning (ML) models. It aims to solve production model serving use cases by providing high abstraction interfaces for Tensorflow, XGBoost, ScikitLearn, PyTorch, Huggingface Transformer/LLM models using standardized data plane protocols. diff --git a/docs/samples/explanation/alibi/alibiexplainer/README.md b/docs/samples/explanation/alibi/alibiexplainer/README.md index 66be7d72917..020a5e50e8b 100644 --- a/docs/samples/explanation/alibi/alibiexplainer/README.md +++ b/docs/samples/explanation/alibi/alibiexplainer/README.md @@ -17,9 +17,9 @@ After poetry has installed dependencies you should see: You can check for successful installation by running the following command ``` -usage: __main__.py [-h] [--http_port HTTP_PORT] [--grpc_port GRPC_PORT] - [--predict_url PREDICT_URL] [--method {ExplainerMethod.anchor_tabular}] -__main__.py: error: the following arguments are required: --predict_url +$ python alibiexplainer/__main__.py {AnchorTabular|AnchorText|AnchorImages} +... +2024-10-17 15:48:59.751 51916 kserve INFO [explainer.py:__init__():54] Predict URL set to None ``` ## Samples @@ -44,7 +44,7 @@ The following indicates a successful install. To run static type checks: ```bash -mypy --ignore-missing-imports sklearnserver +mypy --ignore-missing-imports alibiexplainer ``` An empty result will indicate success. diff --git a/docs/samples/explanation/alibi/alibiexplainer/alibiexplainer/__main__.py b/docs/samples/explanation/alibi/alibiexplainer/alibiexplainer/__main__.py index c0de7ef1339..65b1c72631e 100644 --- a/docs/samples/explanation/alibi/alibiexplainer/alibiexplainer/__main__.py +++ b/docs/samples/explanation/alibi/alibiexplainer/alibiexplainer/__main__.py @@ -33,8 +33,8 @@ def main(): args, extra = parse_args(sys.argv[1:]) - # Pretrained Alibi explainer + # Pretrained Alibi explainer alibi_model = None if args.storage_uri is not None: alibi_model = os.path.join( diff --git a/docs/samples/explanation/alibi/alibiexplainer/poetry.lock b/docs/samples/explanation/alibi/alibiexplainer/poetry.lock index 241cfccded4..c5b71d55ae9 100644 --- a/docs/samples/explanation/alibi/alibiexplainer/poetry.lock +++ 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"pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] +enabler = ["pytest-enabler (>=2.2)"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] [metadata] lock-version = "2.0" -python-versions = ">=3.8,<3.12" -content-hash = "075eb4a941bc27a661d286d364ae8efef876e832a3a288438b103797b9a4ee07" +python-versions = ">=3.9,<=3.12" +content-hash = "097ae3b4f0ec9ed9eab68b9d1df65e0085c4216699c9f6c86edefa0766b58498" diff --git a/docs/samples/explanation/alibi/alibiexplainer/pyproject.toml b/docs/samples/explanation/alibi/alibiexplainer/pyproject.toml index 8e11b8587ac..7f7ab235c6a 100644 --- a/docs/samples/explanation/alibi/alibiexplainer/pyproject.toml +++ b/docs/samples/explanation/alibi/alibiexplainer/pyproject.toml @@ -10,14 +10,14 @@ packages = [ ] [tool.poetry.dependencies] -python = ">=3.8,<3.12" +python = ">=3.9,<=3.12" kserve = { path = "../../../../../python/kserve", extras = ["storage"], develop = true } alibi = { version = "^0.9.4", extras = ["shap", "tensorflow"] } # From 0.9.5 alibi uses BSL license -tensorflow = ">=2.12.0,<2.14" # the range that supports python 3.8 -- 3.11 -dill = "^0.3.6" +tensorflow = ">=2.14" # version that starts to support python 3.9 +dill = "^0.3.8" nest-asyncio = "~1.4.0" llvmlite = ">0.38.1" # needed since poetry chooses lower version of llvmlite which is not supported by python 3.9 above -tensorflow-io-gcs-filesystem = "0.34.0" +tensorflow-io-gcs-filesystem = "0.37.1" [tool.poetry.group.test] optional = true diff --git a/pkg/agent/storage/gcs.go b/pkg/agent/storage/gcs.go index fa7b3421a20..f99180dc62b 100644 --- a/pkg/agent/storage/gcs.go +++ b/pkg/agent/storage/gcs.go @@ -131,33 +131,14 @@ func (g *GCSObjectDownloader) DownloadFile(client stiface.Client, attrs *gstorag log.Error(closeErr, "failed to close reader") } }(reader) - data, err := io.ReadAll(reader) - if err != nil { - return fmt.Errorf("failed to read object(%s) in bucket(%s): %w", + if _, err := io.Copy(file, reader); err != nil { + return fmt.Errorf( + "failed to copy object(%s) from bucket(%s) to file: %w", attrs.Name, attrs.Bucket, err, ) } - return g.WriteToFile(data, attrs, file) -} - -func (g *GCSObjectDownloader) WriteToFile(data []byte, attrs *gstorage.ObjectAttrs, file *os.File) error { - _, err := file.Write(data) - if err != nil { - return fmt.Errorf("failed to write data to file(%s): from object(%s) in bucket(%s): %w", - file.Name(), - attrs.Name, - attrs.Bucket, - err, - ) - } - defer func(file *os.File) { - closeErr := file.Close() - if closeErr != nil { - log.Error(closeErr, "failed to close file") - } - }(file) log.Info("Wrote " + attrs.Prefix + " to file " + file.Name()) return nil } diff --git a/pkg/controller/v1beta1/inferenceservice/controller_test.go b/pkg/controller/v1beta1/inferenceservice/controller_test.go index 50a97d59437..caa0ac73c4b 100644 --- a/pkg/controller/v1beta1/inferenceservice/controller_test.go +++ b/pkg/controller/v1beta1/inferenceservice/controller_test.go @@ -31,7 +31,6 @@ import ( "github.com/kserve/kserve/pkg/constants" "github.com/kserve/kserve/pkg/utils" . "github.com/onsi/ginkgo/v2" - "github.com/onsi/gomega" . "github.com/onsi/gomega" "google.golang.org/protobuf/proto" istiov1beta1 "istio.io/api/networking/v1beta1" @@ -304,7 +303,7 @@ var _ = Describe("v1beta1 inference service controller", func() { Status: "True", }, } - Expect(k8sClient.Status().Update(context.TODO(), updatedService)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Status().Update(context.TODO(), updatedService)).NotTo(HaveOccurred()) } //assert ingress virtualService := &istioclientv1beta1.VirtualService{} @@ -312,7 +311,7 @@ var _ = Describe("v1beta1 inference service controller", func() { return k8sClient.Get(context.TODO(), types.NamespacedName{Name: serviceKey.Name, Namespace: serviceKey.Namespace}, virtualService) }, timeout). - Should(gomega.Succeed()) + Should(Succeed()) expectedVirtualService := &istioclientv1beta1.VirtualService{ Spec: istiov1beta1.VirtualService{ Gateways: []string{ @@ -366,7 +365,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, }, } - Expect(virtualService.Spec.DeepCopy()).To(gomega.Equal(expectedVirtualService.Spec.DeepCopy())) + Expect(virtualService.Spec.DeepCopy()).To(Equal(expectedVirtualService.Spec.DeepCopy())) //get inference service time.Sleep(10 * time.Second) @@ -385,17 +384,17 @@ var _ = Describe("v1beta1 inference service controller", func() { updatedIsvc.Annotations = annotations updatedIsvc.Labels = labels - Expect(k8sClient.Update(ctx, updatedIsvc)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Update(ctx, updatedIsvc)).NotTo(HaveOccurred()) time.Sleep(10 * time.Second) updatedVirtualService := &istioclientv1beta1.VirtualService{} Eventually(func() error { return k8sClient.Get(ctx, types.NamespacedName{Name: serviceKey.Name, Namespace: serviceKey.Namespace}, updatedVirtualService) - }, timeout, interval).Should(gomega.Succeed()) + }, timeout, interval).Should(Succeed()) - Expect(updatedVirtualService.Spec.DeepCopy()).To(gomega.Equal(expectedVirtualService.Spec.DeepCopy())) - Expect(updatedVirtualService.Annotations).To(gomega.Equal(annotations)) - Expect(updatedVirtualService.Labels).To(gomega.Equal(labels)) + Expect(updatedVirtualService.Spec.DeepCopy()).To(Equal(expectedVirtualService.Spec.DeepCopy())) + Expect(updatedVirtualService.Annotations).To(Equal(annotations)) + Expect(updatedVirtualService.Labels).To(Equal(labels)) }) It("Should fail if Knative Serving is not installed", func() { // Simulate Knative Serving is absent by setting to false the relevant item in utils.gvResourcesCache variable @@ -558,7 +557,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, Data: configs, } - Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), configMap) // Create ServingRuntime servingRuntime := &v1alpha1.ServingRuntime{ @@ -598,16 +597,16 @@ var _ = Describe("v1beta1 inference service controller", func() { // Create the InferenceService object and expect the Reconcile and knative service to be created transformer.DefaultInferenceService(nil, nil, &v1beta1.SecurityConfig{AutoMountServiceAccountToken: false}, nil) instance := transformer.DeepCopy() - Expect(k8sClient.Create(context.TODO(), instance)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), instance)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), instance) predictorService := &knservingv1.Service{} Eventually(func() error { return k8sClient.Get(context.TODO(), predictorServiceKey, predictorService) }, timeout). - Should(gomega.Succeed()) + Should(Succeed()) transformerService := &knservingv1.Service{} Eventually(func() error { return k8sClient.Get(context.TODO(), transformerServiceKey, transformerService) }, timeout). - Should(gomega.Succeed()) + Should(Succeed()) expectedTransformerService := &knservingv1.Service{ ObjectMeta: metav1.ObjectMeta{ Name: constants.TransformerServiceName(instance.Name), @@ -667,7 +666,7 @@ var _ = Describe("v1beta1 inference service controller", func() { // that are present on the remote version. err := k8sClient.Update(context.TODO(), expectedTransformerService, client.DryRunAll) Expect(err).Should(BeNil()) - Expect(cmp.Diff(transformerService.Spec, expectedTransformerService.Spec)).To(gomega.Equal("")) + Expect(cmp.Diff(transformerService.Spec, expectedTransformerService.Spec)).To(Equal("")) // mock update knative service status since knative serving controller is not running in test predictorUrl, _ := apis.ParseURL("http://" + constants.InferenceServiceHostName(constants.PredictorServiceName(serviceKey.Name), serviceKey.Namespace, domain)) @@ -692,7 +691,7 @@ var _ = Describe("v1beta1 inference service controller", func() { Status: "True", }, } - Expect(k8sClient.Status().Update(context.TODO(), updatedPredictorService)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Status().Update(context.TODO(), updatedPredictorService)).NotTo(HaveOccurred()) // update transformer updatedTransformerService := transformerService.DeepCopy() @@ -713,7 +712,7 @@ var _ = Describe("v1beta1 inference service controller", func() { Status: "True", }, } - Expect(k8sClient.Status().Update(context.TODO(), updatedTransformerService)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Status().Update(context.TODO(), updatedTransformerService)).NotTo(HaveOccurred()) // verify if InferenceService status is updated expectedIsvcStatus := v1beta1.InferenceServiceStatus{ @@ -801,7 +800,7 @@ var _ = Describe("v1beta1 inference service controller", func() { return err.Error() } return cmp.Diff(&expectedIsvcStatus, &isvc.Status, cmpopts.IgnoreTypes(apis.Condition{}, "LastTransitionTime", "Severity")) - }, timeout).Should(gomega.BeEmpty()) + }, timeout).Should(BeEmpty()) }) }) @@ -921,7 +920,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }} Expect(retry.RetryOnConflict(retry.DefaultBackoff, func() error { return k8sClient.Status().Update(context.TODO(), updatedService) - })).NotTo(gomega.HaveOccurred()) + })).NotTo(HaveOccurred()) // assert inference service predictor status Eventually(func() string { @@ -945,7 +944,7 @@ var _ = Describe("v1beta1 inference service controller", func() { updatedIsvc := inferenceService.DeepCopy() updatedIsvc.Spec.Predictor.Model.StorageURI = &storageUri2 updatedIsvc.Spec.Predictor.CanaryTrafficPercent = proto.Int64(20) - Expect(k8sClient.Update(context.TODO(), updatedIsvc)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Update(context.TODO(), updatedIsvc)).NotTo(HaveOccurred()) // update predictor status canaryService := &knservingv1.Service{} @@ -962,7 +961,7 @@ var _ = Describe("v1beta1 inference service controller", func() { Status: "True", }, } - Expect(k8sClient.Status().Update(context.TODO(), canaryService)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Status().Update(context.TODO(), canaryService)).NotTo(HaveOccurred()) expectedTrafficTarget := []knservingv1.TrafficTarget{ { @@ -984,7 +983,7 @@ var _ = Describe("v1beta1 inference service controller", func() { } else { return actualService.Spec.Traffic } - }, timeout).Should(gomega.Equal(expectedTrafficTarget)) + }, timeout).Should(Equal(expectedTrafficTarget)) rolloutIsvc := &v1beta1.InferenceService{} Eventually(func() string { @@ -998,7 +997,7 @@ var _ = Describe("v1beta1 inference service controller", func() { // rollout canary rolloutIsvc.Spec.Predictor.CanaryTrafficPercent = nil - Expect(k8sClient.Update(context.TODO(), rolloutIsvc)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Update(context.TODO(), rolloutIsvc)).NotTo(HaveOccurred()) expectedTrafficTarget = []knservingv1.TrafficTarget{ { LatestRevision: proto.Bool(true), @@ -1013,7 +1012,7 @@ var _ = Describe("v1beta1 inference service controller", func() { } else { return actualService.Spec.Traffic } - }, timeout).Should(gomega.Equal(expectedTrafficTarget)) + }, timeout).Should(Equal(expectedTrafficTarget)) // update predictor knative service status serviceRevision2 := &knservingv1.Service{} @@ -1027,7 +1026,7 @@ var _ = Describe("v1beta1 inference service controller", func() { RevisionName: "revision-v2", Percent: proto.Int64(100), }} - Expect(k8sClient.Status().Update(context.TODO(), serviceRevision2)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Status().Update(context.TODO(), serviceRevision2)).NotTo(HaveOccurred()) // assert latest rolled out revision expectedIsvc := &v1beta1.InferenceService{} Eventually(func() string { @@ -1167,7 +1166,7 @@ var _ = Describe("v1beta1 inference service controller", func() { Disabled: proto.Bool(false), }, } - Expect(k8sClient.Create(context.TODO(), servingRuntime)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), servingRuntime)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), servingRuntime) var isvc = &v1beta1.InferenceService{ @@ -1219,17 +1218,17 @@ var _ = Describe("v1beta1 inference service controller", func() { }, Data: configs, } - Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), configMap) // Create the InferenceService object and expect the Reconcile and knative service to be created instance := isvc.DeepCopy() - Expect(k8sClient.Create(context.TODO(), instance)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), instance)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), instance) predictorService := &knservingv1.Service{} Eventually(func() error { return k8sClient.Get(context.TODO(), predictorServiceKey, predictorService) }, timeout). - Should(gomega.Succeed()) + Should(Succeed()) expectedPredictorService := &knservingv1.Service{ ObjectMeta: metav1.ObjectMeta{ @@ -1293,7 +1292,7 @@ var _ = Describe("v1beta1 inference service controller", func() { // that are present on the remote version. err := k8sClient.Update(context.TODO(), predictorService, client.DryRunAll) Expect(err).Should(BeNil()) - Expect(cmp.Diff(predictorService.Spec, expectedPredictorService.Spec)).To(gomega.Equal("")) + Expect(cmp.Diff(predictorService.Spec, expectedPredictorService.Spec)).To(Equal("")) }) }) @@ -1338,11 +1337,11 @@ var _ = Describe("v1beta1 inference service controller", func() { }, Data: configs, } - Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), configMap) // Create the InferenceService object and expect the Reconcile and knative service to be created - Expect(k8sClient.Create(context.TODO(), isvc)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), isvc)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), isvc) inferenceService := &v1beta1.InferenceService{} @@ -1363,7 +1362,7 @@ var _ = Describe("v1beta1 inference service controller", func() { } Expect(inferenceService.Status.ModelStatus.TransitionStatus).To(Equal(v1beta1.InvalidSpec)) Expect(inferenceService.Status.ModelStatus.ModelRevisionStates.TargetModelState).To(Equal(v1beta1.FailedToLoad)) - Expect(cmp.Diff(&failureInfo, inferenceService.Status.ModelStatus.LastFailureInfo)).To(gomega.Equal("")) + Expect(cmp.Diff(&failureInfo, inferenceService.Status.ModelStatus.LastFailureInfo)).To(Equal("")) }) }) @@ -1408,7 +1407,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, } - Expect(k8sClient.Create(context.TODO(), servingRuntime)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), servingRuntime)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), servingRuntime) var isvc = &v1beta1.InferenceService{ @@ -1443,11 +1442,11 @@ var _ = Describe("v1beta1 inference service controller", func() { }, Data: configs, } - Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), configMap) // Create the InferenceService object and expect the Reconcile and knative service to be created - Expect(k8sClient.Create(context.TODO(), isvc)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), isvc)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), isvc) inferenceService := &v1beta1.InferenceService{} @@ -1468,7 +1467,7 @@ var _ = Describe("v1beta1 inference service controller", func() { } Expect(inferenceService.Status.ModelStatus.TransitionStatus).To(Equal(v1beta1.InvalidSpec)) Expect(inferenceService.Status.ModelStatus.ModelRevisionStates.TargetModelState).To(Equal(v1beta1.FailedToLoad)) - Expect(cmp.Diff(&failureInfo, inferenceService.Status.ModelStatus.LastFailureInfo)).To(gomega.Equal("")) + Expect(cmp.Diff(&failureInfo, inferenceService.Status.ModelStatus.LastFailureInfo)).To(Equal("")) }) }) @@ -1488,7 +1487,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, Data: configs, } - Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), configMap) var servingRuntime = &v1alpha1.ServingRuntime{ @@ -1524,7 +1523,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, } - Expect(k8sClient.Create(context.TODO(), servingRuntime)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), servingRuntime)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), servingRuntime) var isvc = &v1beta1.InferenceService{ @@ -1552,7 +1551,7 @@ var _ = Describe("v1beta1 inference service controller", func() { } // Create the InferenceService object and expect the Reconcile and knative service to be created - Expect(k8sClient.Create(context.TODO(), isvc)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), isvc)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), isvc) inferenceService := &v1beta1.InferenceService{} @@ -1573,7 +1572,7 @@ var _ = Describe("v1beta1 inference service controller", func() { } Expect(inferenceService.Status.ModelStatus.TransitionStatus).To(Equal(v1beta1.InvalidSpec)) Expect(inferenceService.Status.ModelStatus.ModelRevisionStates.TargetModelState).To(Equal(v1beta1.FailedToLoad)) - Expect(cmp.Diff(&failureInfo, inferenceService.Status.ModelStatus.LastFailureInfo)).To(gomega.Equal("")) + Expect(cmp.Diff(&failureInfo, inferenceService.Status.ModelStatus.LastFailureInfo)).To(Equal("")) }) }) @@ -1661,7 +1660,7 @@ var _ = Describe("v1beta1 inference service controller", func() { Data: configs, } - Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(HaveOccurred()) return configMap } @@ -1682,7 +1681,7 @@ var _ = Describe("v1beta1 inference service controller", func() { isvc := defaultIsvc(serviceKey.Namespace, serviceKey.Name, storageUri) isvc.Annotations = map[string]string{} isvc.Annotations[constants.StorageReadonlyAnnotationKey] = "true" - Expect(k8sClient.Create(context.TODO(), isvc)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), isvc)).NotTo(HaveOccurred()) defer k8sClient.Delete(ctx, isvc) // Knative service @@ -1714,7 +1713,7 @@ var _ = Describe("v1beta1 inference service controller", func() { isvc := defaultIsvc(serviceKey.Namespace, serviceKey.Name, storageUri) isvc.Annotations = map[string]string{} isvc.Annotations[constants.StorageReadonlyAnnotationKey] = "false" - Expect(k8sClient.Create(context.TODO(), isvc)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), isvc)).NotTo(HaveOccurred()) defer k8sClient.Delete(ctx, isvc) // Knative service @@ -1745,7 +1744,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, Data: configs, } - Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), configMap)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), configMap) var servingRuntime = &v1alpha1.ServingRuntime{ @@ -1781,7 +1780,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, } - Expect(k8sClient.Create(context.TODO(), servingRuntime)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), servingRuntime)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), servingRuntime) var isvc = &v1beta1.InferenceService{ @@ -1809,7 +1808,7 @@ var _ = Describe("v1beta1 inference service controller", func() { } // Create the InferenceService object and expect the Reconcile and knative service to be created - Expect(k8sClient.Create(context.TODO(), isvc)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Create(context.TODO(), isvc)).NotTo(HaveOccurred()) defer k8sClient.Delete(context.TODO(), isvc) pod := &v1.Pod{ @@ -1903,7 +1902,7 @@ var _ = Describe("v1beta1 inference service controller", func() { } Expect(retry.RetryOnConflict(retry.DefaultBackoff, func() error { return k8sClient.Status().Update(context.TODO(), updatedService) - })).NotTo(gomega.HaveOccurred()) + })).NotTo(HaveOccurred()) inferenceService := &v1beta1.InferenceService{} Eventually(func() bool { @@ -2010,7 +2009,7 @@ var _ = Describe("v1beta1 inference service controller", func() { Status: "True", }, } - Expect(k8sClient.Status().Update(context.TODO(), updatedService)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Status().Update(context.TODO(), updatedService)).NotTo(HaveOccurred()) // get inference service time.Sleep(10 * time.Second) actualIsvc := &v1beta1.InferenceService{} @@ -2022,12 +2021,12 @@ var _ = Describe("v1beta1 inference service controller", func() { return true }, timeout, interval).Should(BeTrue()) - Expect(actualIsvc.Status.URL).To(gomega.Equal(&apis.URL{ + Expect(actualIsvc.Status.URL).To(Equal(&apis.URL{ Scheme: "http", Host: constants.InferenceServiceHostName(constants.PredictorServiceName(serviceKey.Name), serviceKey.Namespace, domain), })) - Expect(actualIsvc.Status.Address.URL).To(gomega.Equal(&apis.URL{ - Scheme: "https", + Expect(actualIsvc.Status.Address.URL).To(Equal(&apis.URL{ + Scheme: "http", Host: network.GetServiceHostname(fmt.Sprintf("%s-%s", serviceKey.Name, string(constants.Predictor)), serviceKey.Namespace), })) }) @@ -2443,7 +2442,7 @@ var _ = Describe("v1beta1 inference service controller", func() { Expect(retry.RetryOnConflict(retry.DefaultBackoff, func() error { return k8sClient.Status().Update(context.TODO(), updatedService) - })).NotTo(gomega.HaveOccurred()) + })).NotTo(HaveOccurred()) // assert inference service predictor status Eventually(func() bool { @@ -2464,7 +2463,7 @@ var _ = Describe("v1beta1 inference service controller", func() { } Expect(retry.RetryOnConflict(retry.DefaultBackoff, func() error { return k8sClient.Status().Update(context.TODO(), updatedService) - })).NotTo(gomega.HaveOccurred()) + })).NotTo(HaveOccurred()) r := &InferenceServiceReconciler{ Client: k8sClient, diff --git a/pkg/controller/v1beta1/inferenceservice/rawkube_controller_test.go b/pkg/controller/v1beta1/inferenceservice/rawkube_controller_test.go index 93c43b84d49..e070ac3a345 100644 --- a/pkg/controller/v1beta1/inferenceservice/rawkube_controller_test.go +++ b/pkg/controller/v1beta1/inferenceservice/rawkube_controller_test.go @@ -31,8 +31,6 @@ import ( "github.com/kserve/kserve/pkg/apis/serving/v1beta1" "github.com/kserve/kserve/pkg/constants" . "github.com/onsi/ginkgo/v2" - - "github.com/onsi/gomega" . "github.com/onsi/gomega" "google.golang.org/protobuf/proto" appsv1 "k8s.io/api/apps/v1" @@ -291,7 +289,7 @@ var _ = Describe("v1beta1 inference service controller", func() { ProgressDeadlineSeconds: &progressDeadlineSeconds, }, } - Expect(actualDeployment.Spec).To(gomega.Equal(expectedDeployment.Spec)) + Expect(actualDeployment.Spec).To(Equal(expectedDeployment.Spec)) //check service actualService := &v1.Service{} @@ -326,7 +324,7 @@ var _ = Describe("v1beta1 inference service controller", func() { actualService.Spec.IPFamilies = nil actualService.Spec.IPFamilyPolicy = nil actualService.Spec.InternalTrafficPolicy = nil - Expect(actualService.Spec).To(gomega.Equal(expectedService.Spec)) + Expect(actualService.Spec).To(Equal(expectedService.Spec)) //check isvc status updatedDeployment := actualDeployment.DeepCopy() @@ -336,7 +334,7 @@ var _ = Describe("v1beta1 inference service controller", func() { Status: v1.ConditionTrue, }, } - Expect(k8sClient.Status().Update(context.TODO(), updatedDeployment)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Status().Update(context.TODO(), updatedDeployment)).NotTo(HaveOccurred()) //check ingress pathType := netv1.PathTypePrefix @@ -393,7 +391,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, }, } - Expect(actualIngress.Spec).To(gomega.Equal(expectedIngress.Spec)) + Expect(actualIngress.Spec).To(Equal(expectedIngress.Spec)) // verify if InferenceService status is updated expectedIsvcStatus := v1beta1.InferenceServiceStatus{ Status: duckv1.Status{ @@ -442,7 +440,7 @@ var _ = Describe("v1beta1 inference service controller", func() { return err.Error() } return cmp.Diff(&expectedIsvcStatus, &isvc.Status, cmpopts.IgnoreTypes(apis.VolatileTime{})) - }, timeout).Should(gomega.BeEmpty()) + }, timeout).Should(BeEmpty()) //check HPA var minReplicas int32 = 1 @@ -507,7 +505,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, }, } - Expect(actualHPA.Spec).To(gomega.Equal(expectedHPA.Spec)) + Expect(actualHPA.Spec).To(Equal(expectedHPA.Spec)) }) It("Should have ingress/service/deployment/hpa created with DeploymentStrategy", func() { By("By creating a new InferenceService with DeploymentStrategy in PredictorSpec") @@ -706,7 +704,7 @@ var _ = Describe("v1beta1 inference service controller", func() { ProgressDeadlineSeconds: &progressDeadlineSeconds, }, } - Expect(actualDeployment.Spec).To(gomega.Equal(expectedDeployment.Spec)) + Expect(actualDeployment.Spec).To(Equal(expectedDeployment.Spec)) //check service actualService := &v1.Service{} @@ -741,7 +739,7 @@ var _ = Describe("v1beta1 inference service controller", func() { actualService.Spec.IPFamilies = nil actualService.Spec.IPFamilyPolicy = nil actualService.Spec.InternalTrafficPolicy = nil - Expect(actualService.Spec).To(gomega.Equal(expectedService.Spec)) + Expect(actualService.Spec).To(Equal(expectedService.Spec)) //check isvc status updatedDeployment := actualDeployment.DeepCopy() @@ -751,7 +749,7 @@ var _ = Describe("v1beta1 inference service controller", func() { Status: v1.ConditionTrue, }, } - Expect(k8sClient.Status().Update(context.TODO(), updatedDeployment)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Status().Update(context.TODO(), updatedDeployment)).NotTo(HaveOccurred()) //check ingress pathType := netv1.PathTypePrefix @@ -808,7 +806,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, }, } - Expect(actualIngress.Spec).To(gomega.Equal(expectedIngress.Spec)) + Expect(actualIngress.Spec).To(Equal(expectedIngress.Spec)) // verify if InferenceService status is updated expectedIsvcStatus := v1beta1.InferenceServiceStatus{ Status: duckv1.Status{ @@ -857,7 +855,7 @@ var _ = Describe("v1beta1 inference service controller", func() { return err.Error() } return cmp.Diff(&expectedIsvcStatus, &isvc.Status, cmpopts.IgnoreTypes(apis.VolatileTime{})) - }, timeout).Should(gomega.BeEmpty()) + }, timeout).Should(BeEmpty()) //check HPA var minReplicas int32 = 1 @@ -922,7 +920,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, }, } - Expect(actualHPA.Spec).To(gomega.Equal(expectedHPA.Spec)) + Expect(actualHPA.Spec).To(Equal(expectedHPA.Spec)) }) It("Should have ingress/service/deployment created", func() { By("By creating a new InferenceService with AutoscalerClassExternal") @@ -1112,7 +1110,7 @@ var _ = Describe("v1beta1 inference service controller", func() { ProgressDeadlineSeconds: &progressDeadlineSeconds, }, } - Expect(actualDeployment.Spec).To(gomega.Equal(expectedDeployment.Spec)) + Expect(actualDeployment.Spec).To(Equal(expectedDeployment.Spec)) //check service actualService := &v1.Service{} @@ -1147,7 +1145,7 @@ var _ = Describe("v1beta1 inference service controller", func() { actualService.Spec.IPFamilies = nil actualService.Spec.IPFamilyPolicy = nil actualService.Spec.InternalTrafficPolicy = nil - Expect(actualService.Spec).To(gomega.Equal(expectedService.Spec)) + Expect(actualService.Spec).To(Equal(expectedService.Spec)) //check isvc status updatedDeployment := actualDeployment.DeepCopy() @@ -1157,7 +1155,7 @@ var _ = Describe("v1beta1 inference service controller", func() { Status: v1.ConditionTrue, }, } - Expect(k8sClient.Status().Update(context.TODO(), updatedDeployment)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Status().Update(context.TODO(), updatedDeployment)).NotTo(HaveOccurred()) //check ingress pathType := netv1.PathTypePrefix @@ -1214,7 +1212,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, }, } - Expect(actualIngress.Spec).To(gomega.Equal(expectedIngress.Spec)) + Expect(actualIngress.Spec).To(Equal(expectedIngress.Spec)) // verify if InferenceService status is updated expectedIsvcStatus := v1beta1.InferenceServiceStatus{ Status: duckv1.Status{ @@ -1263,7 +1261,7 @@ var _ = Describe("v1beta1 inference service controller", func() { return err.Error() } return cmp.Diff(&expectedIsvcStatus, &isvc.Status, cmpopts.IgnoreTypes(apis.VolatileTime{})) - }, timeout).Should(gomega.BeEmpty()) + }, timeout).Should(BeEmpty()) //check HPA is not created actualHPA := &autoscalingv2.HorizontalPodAutoscaler{} @@ -1486,7 +1484,7 @@ var _ = Describe("v1beta1 inference service controller", func() { ProgressDeadlineSeconds: &progressDeadlineSeconds, }, } - Expect(actualDeployment.Spec).To(gomega.Equal(expectedDeployment.Spec)) + Expect(actualDeployment.Spec).To(Equal(expectedDeployment.Spec)) //check service actualService := &v1.Service{} @@ -1521,7 +1519,7 @@ var _ = Describe("v1beta1 inference service controller", func() { actualService.Spec.IPFamilies = nil actualService.Spec.IPFamilyPolicy = nil actualService.Spec.InternalTrafficPolicy = nil - Expect(actualService.Spec).To(gomega.Equal(expectedService.Spec)) + Expect(actualService.Spec).To(Equal(expectedService.Spec)) //check isvc status updatedDeployment := actualDeployment.DeepCopy() @@ -1531,7 +1529,7 @@ var _ = Describe("v1beta1 inference service controller", func() { Status: v1.ConditionTrue, }, } - Expect(k8sClient.Status().Update(context.TODO(), updatedDeployment)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Status().Update(context.TODO(), updatedDeployment)).NotTo(HaveOccurred()) //check ingress pathType := netv1.PathTypePrefix @@ -1588,7 +1586,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, }, } - Expect(actualIngress.Spec).To(gomega.Equal(expectedIngress.Spec)) + Expect(actualIngress.Spec).To(Equal(expectedIngress.Spec)) // verify if InferenceService status is updated expectedIsvcStatus := v1beta1.InferenceServiceStatus{ Status: duckv1.Status{ @@ -1637,7 +1635,7 @@ var _ = Describe("v1beta1 inference service controller", func() { return err.Error() } return cmp.Diff(&expectedIsvcStatus, &isvc.Status, cmpopts.IgnoreTypes(apis.VolatileTime{})) - }, timeout).Should(gomega.BeEmpty()) + }, timeout).Should(BeEmpty()) //check HPA var minReplicas int32 = 1 @@ -1702,7 +1700,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, }, } - Expect(actualHPA.Spec).To(gomega.Equal(expectedHPA.Spec)) + Expect(actualHPA.Spec).To(Equal(expectedHPA.Spec)) }) }) Context("When creating inference service with raw kube predictor with domain template", func() { @@ -1919,7 +1917,7 @@ var _ = Describe("v1beta1 inference service controller", func() { ProgressDeadlineSeconds: &progressDeadlineSeconds, }, } - Expect(actualDeployment.Spec).To(gomega.Equal(expectedDeployment.Spec)) + Expect(actualDeployment.Spec).To(Equal(expectedDeployment.Spec)) //check service actualService := &v1.Service{} @@ -1954,7 +1952,7 @@ var _ = Describe("v1beta1 inference service controller", func() { actualService.Spec.IPFamilies = nil actualService.Spec.IPFamilyPolicy = nil actualService.Spec.InternalTrafficPolicy = nil - Expect(actualService.Spec).To(gomega.Equal(expectedService.Spec)) + Expect(actualService.Spec).To(Equal(expectedService.Spec)) //check isvc status updatedDeployment := actualDeployment.DeepCopy() @@ -1964,7 +1962,7 @@ var _ = Describe("v1beta1 inference service controller", func() { Status: v1.ConditionTrue, }, } - Expect(k8sClient.Status().Update(context.TODO(), updatedDeployment)).NotTo(gomega.HaveOccurred()) + Expect(k8sClient.Status().Update(context.TODO(), updatedDeployment)).NotTo(HaveOccurred()) //check ingress pathType := netv1.PathTypePrefix @@ -2021,7 +2019,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, }, } - Expect(actualIngress.Spec).To(gomega.Equal(expectedIngress.Spec)) + Expect(actualIngress.Spec).To(Equal(expectedIngress.Spec)) // verify if InferenceService status is updated expectedIsvcStatus := v1beta1.InferenceServiceStatus{ Status: duckv1.Status{ @@ -2070,7 +2068,7 @@ var _ = Describe("v1beta1 inference service controller", func() { return err.Error() } return cmp.Diff(&expectedIsvcStatus, &isvc.Status, cmpopts.IgnoreTypes(apis.VolatileTime{})) - }, timeout).Should(gomega.BeEmpty()) + }, timeout).Should(BeEmpty()) //check HPA var minReplicas int32 = 1 @@ -2135,7 +2133,7 @@ var _ = Describe("v1beta1 inference service controller", func() { }, }, } - Expect(actualHPA.Spec).To(gomega.Equal(expectedHPA.Spec)) + Expect(actualHPA.Spec).To(Equal(expectedHPA.Spec)) }) }) Context("When creating inference service with raw kube predictor with workerSpec", func() { diff --git a/pkg/credentials/azure/azure_secret.go b/pkg/credentials/azure/azure_secret.go index 703f330cf53..af9016a3046 100644 --- a/pkg/credentials/azure/azure_secret.go +++ b/pkg/credentials/azure/azure_secret.go @@ -37,7 +37,7 @@ const ( var ( LegacyAzureEnvKeys = []string{LegacyAzureSubscriptionId, LegacyAzureTenantId, LegacyAzureClientId, LegacyAzureClientSecret} - AzureEnvKeys = []string{AzureSubscriptionId, AzureTenantId, AzureClientId, AzureClientSecret} + AzureEnvKeys = []string{AzureSubscriptionId, AzureTenantId, AzureClientId, AzureClientSecret, AzureStorageAccessKey} legacyAzureEnvKeyMappings = map[string]string{ AzureSubscriptionId: LegacyAzureSubscriptionId, AzureTenantId: LegacyAzureTenantId, @@ -54,8 +54,8 @@ func BuildSecretEnvs(secret *v1.Secret) []v1.EnvVar { if _, ok := secret.Data[legacyDataKey]; ok { dataKey = legacyDataKey } - // Leave out the AzureClientSecret env var if not defined as Data in the secret - if _, ok := secret.Data[dataKey]; !(!ok && dataKey == AzureClientSecret) { + // Leave out the AzureClientSecret or AzureStorageAccessKey env var if not defined as Data in the secret + if _, ok := secret.Data[dataKey]; !(!ok && (dataKey == AzureClientSecret || dataKey == AzureStorageAccessKey)) { envs = append(envs, v1.EnvVar{ Name: k, ValueFrom: &v1.EnvVarSource{ diff --git a/pkg/credentials/azure/azure_secret_test.go b/pkg/credentials/azure/azure_secret_test.go index 04b69b2620b..4479ae1970d 100644 --- a/pkg/credentials/azure/azure_secret_test.go +++ b/pkg/credentials/azure/azure_secret_test.go @@ -88,7 +88,255 @@ func TestAzureSecret(t *testing.T) { }, }, }, + "AzureSecretEnvsWithStorageAccessKey": { + secret: &v1.Secret{ + ObjectMeta: metav1.ObjectMeta{ + Name: "azcreds", + }, + Data: map[string][]byte{ + AzureSubscriptionId: []byte("AzureSubscriptionId"), + AzureTenantId: []byte("AzureTenantId"), + AzureClientId: []byte("AzureClientId"), + AzureStorageAccessKey: []byte("AzureStorageAccessKey"), + }, + }, + expected: []v1.EnvVar{ + { + Name: AzureSubscriptionId, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureSubscriptionId, + }, + }, + }, + { + Name: AzureTenantId, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureTenantId, + }, + }, + }, + { + Name: AzureClientId, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureClientId, + }, + }, + }, + { + Name: AzureStorageAccessKey, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureStorageAccessKey, + }, + }, + }, + }, + }, + "AzureSecretEnvsWithClientSecretAndStorageAccessKey": { + secret: &v1.Secret{ + ObjectMeta: metav1.ObjectMeta{ + Name: "azcreds", + }, + Data: map[string][]byte{ + AzureSubscriptionId: []byte("AzureSubscriptionId"), + AzureTenantId: []byte("AzureTenantId"), + AzureClientId: []byte("AzureClientId"), + AzureClientSecret: []byte("AzureClientSecret"), + AzureStorageAccessKey: []byte("AzureStorageAccessKey"), + }, + }, + expected: []v1.EnvVar{ + { + Name: AzureSubscriptionId, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureSubscriptionId, + }, + }, + }, + { + Name: AzureTenantId, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureTenantId, + }, + }, + }, + { + Name: AzureClientId, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureClientId, + }, + }, + }, + { + Name: AzureClientSecret, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureClientSecret, + }, + }, + }, + { + Name: AzureStorageAccessKey, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureStorageAccessKey, + }, + }, + }, + }, + }, "AzureSecretEnvsWithoutClientSecret": { + secret: &v1.Secret{ + ObjectMeta: metav1.ObjectMeta{ + Name: "azcreds", + }, + Data: map[string][]byte{ + AzureSubscriptionId: []byte("AzureSubscriptionId"), + AzureTenantId: []byte("AzureTenantId"), + AzureClientId: []byte("AzureClientId"), + AzureStorageAccessKey: []byte("AzureStorageAccessKey"), + }, + }, + expected: []v1.EnvVar{ + { + Name: AzureSubscriptionId, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureSubscriptionId, + }, + }, + }, + { + Name: AzureTenantId, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureTenantId, + }, + }, + }, + { + Name: AzureClientId, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureClientId, + }, + }, + }, + { + Name: AzureStorageAccessKey, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureStorageAccessKey, + }, + }, + }, + }, + }, + "AzureSecretEnvsWithoutStorageAccessKey": { + secret: &v1.Secret{ + ObjectMeta: metav1.ObjectMeta{ + Name: "azcreds", + }, + Data: map[string][]byte{ + AzureSubscriptionId: []byte("AzureSubscriptionId"), + AzureTenantId: []byte("AzureTenantId"), + AzureClientId: []byte("AzureClientId"), + AzureClientSecret: []byte("AzureClientSecret"), + }, + }, + expected: []v1.EnvVar{ + { + Name: AzureSubscriptionId, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureSubscriptionId, + }, + }, + }, + { + Name: AzureTenantId, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureTenantId, + }, + }, + }, + { + Name: AzureClientId, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureClientId, + }, + }, + }, + { + Name: AzureClientSecret, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "azcreds", + }, + Key: AzureClientSecret, + }, + }, + }, + }, + }, + "AzureSecretEnvsWithoutClientSecretAndStorageAccessKey": { secret: &v1.Secret{ ObjectMeta: metav1.ObjectMeta{ Name: "azcreds", diff --git a/pkg/credentials/service_account_credentials_test.go b/pkg/credentials/service_account_credentials_test.go index e305b7920df..2826240273d 100644 --- a/pkg/credentials/service_account_credentials_test.go +++ b/pkg/credentials/service_account_credentials_test.go @@ -807,10 +807,11 @@ func TestAzureCredentialBuilder(t *testing.T) { Namespace: "default", }, Data: map[string][]byte{ - "AZURE_SUBSCRIPTION_ID": {}, - "AZURE_TENANT_ID": {}, - "AZURE_CLIENT_ID": {}, - "AZURE_CLIENT_SECRET": {}, + "AZURE_SUBSCRIPTION_ID": {}, + "AZURE_TENANT_ID": {}, + "AZURE_CLIENT_ID": {}, + "AZURE_CLIENT_SECRET": {}, + "AZURE_STORAGE_ACCESS_KEY": {}, }, } @@ -887,6 +888,17 @@ func TestAzureCredentialBuilder(t *testing.T) { }, }, }, + { + Name: azure.AzureStorageAccessKey, + ValueFrom: &v1.EnvVarSource{ + SecretKeyRef: &v1.SecretKeySelector{ + LocalObjectReference: v1.LocalObjectReference{ + Name: "az-custom-secret", + }, + Key: azure.AzureStorageAccessKey, + }, + }, + }, }, }, }, diff --git a/pkg/webhook/admission/pod/agent_injector.go b/pkg/webhook/admission/pod/agent_injector.go index 887c9f6b39c..1be13294763 100644 --- a/pkg/webhook/admission/pod/agent_injector.go +++ b/pkg/webhook/admission/pod/agent_injector.go @@ -23,6 +23,7 @@ import ( "strings" "k8s.io/apimachinery/pkg/util/intstr" + "k8s.io/klog/v2" "github.com/kserve/kserve/pkg/apis/serving/v1beta1" "github.com/kserve/kserve/pkg/constants" @@ -238,16 +239,35 @@ func (ag *AgentInjector) InjectAgent(pod *v1.Pod) error { } if !queueProxyAvailable { - readinessProbeJson, err := json.Marshal(pod.Spec.Containers[0].ReadinessProbe) - if err != nil { - return err + readinessProbe := pod.Spec.Containers[0].ReadinessProbe + + // Check if the readiness probe exists + if readinessProbe != nil { + if readinessProbe.HTTPGet != nil || readinessProbe.TCPSocket != nil { + // Marshal the readiness probe into JSON format + readinessProbeJson, err := json.Marshal(readinessProbe) + if err != nil { + klog.Errorf("Failed to marshal readiness probe for pod %s/%s: %v", pod.Namespace, pod.Name, err) + return fmt.Errorf("failed to marshal readiness probe: %w", err) + } + + // Log successful addition of readiness probe + klog.Infof("Readiness probe marshaled and added as environment variable for pod %s/%s", pod.Namespace, pod.Name) + + // Append the marshaled readiness probe as an environment variable for the agent container + agentEnvs = append(agentEnvs, v1.EnvVar{Name: "SERVING_READINESS_PROBE", Value: string(readinessProbeJson)}) + } else if readinessProbe.Exec != nil { + // Log the skipping of ExecAction readiness probes + klog.Infof("Exec readiness probe skipped for pod %s/%s", pod.Namespace, pod.Name) + } } - agentEnvs = append(agentEnvs, v1.EnvVar{Name: "SERVING_READINESS_PROBE", Value: string(readinessProbeJson)}) } else { + // Adjust USER_PORT when queueProxy is available for i, envVar := range queueProxyEnvs { if envVar.Name == "USER_PORT" { + klog.Infof("Adjusting USER_PORT to %s for pod %s/%s", constants.InferenceServiceDefaultAgentPortStr, pod.Namespace, pod.Name) envVar.Value = constants.InferenceServiceDefaultAgentPortStr - queueProxyEnvs[i] = envVar + queueProxyEnvs[i] = envVar // Update the environment variable in the list } } } diff --git a/pkg/webhook/admission/pod/agent_injector_test.go b/pkg/webhook/admission/pod/agent_injector_test.go index a9bd609327c..3c57b2217bc 100644 --- a/pkg/webhook/admission/pod/agent_injector_test.go +++ b/pkg/webhook/admission/pod/agent_injector_test.go @@ -32,6 +32,8 @@ import ( "knative.dev/pkg/kmp" + "encoding/json" + "github.com/kserve/kserve/pkg/constants" v1 "k8s.io/api/core/v1" metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" @@ -1581,3 +1583,153 @@ func TestGetAgentConfigs(t *testing.T) { g.Expect(loggerConfigs).Should(tc.matchers[0]) } } + +func TestReadinessProbeInheritance(t *testing.T) { + tests := []struct { + name string + readinessProbe *v1.Probe + queueProxyAvailable bool + expectEnvVar bool + expectedProbeJson string + }{ + { + name: "HTTPGet Readiness Probe", + readinessProbe: &v1.Probe{ + ProbeHandler: v1.ProbeHandler{ + HTTPGet: &v1.HTTPGetAction{ + Path: "/ready", + Port: intstr.FromInt(8080), + Scheme: "HTTP", + }, + }, + TimeoutSeconds: 0, + PeriodSeconds: 0, + SuccessThreshold: 0, + FailureThreshold: 0, + }, + queueProxyAvailable: false, + expectEnvVar: true, + expectedProbeJson: `{"httpGet":{"path":"/ready","port":8080,"scheme":"HTTP"},"timeoutSeconds":0,"periodSeconds":0,"successThreshold":0,"failureThreshold":0}`, + }, + { + name: "TCPSocket Readiness Probe", + readinessProbe: &v1.Probe{ + ProbeHandler: v1.ProbeHandler{ + TCPSocket: &v1.TCPSocketAction{ + Port: intstr.FromInt(8080), + }, + }, + TimeoutSeconds: 0, + PeriodSeconds: 0, + SuccessThreshold: 0, + FailureThreshold: 0, + }, + queueProxyAvailable: false, + expectEnvVar: true, + expectedProbeJson: `{"tcpSocket":{"port":8080},"timeoutSeconds":0,"periodSeconds":0,"successThreshold":0,"failureThreshold":0}`, + }, + { + name: "Exec Readiness Probe", + readinessProbe: &v1.Probe{ + ProbeHandler: v1.ProbeHandler{ + Exec: &v1.ExecAction{ + Command: []string{"echo", "hello"}, + }, + }, + }, + queueProxyAvailable: false, + expectEnvVar: false, // Exec probes should not be inherited + }, + } + + for _, tt := range tests { + t.Run(tt.name, func(t *testing.T) { + // Prepare the pod with the given readiness probe + pod := &v1.Pod{ + ObjectMeta: metav1.ObjectMeta{ + Name: "test-pod", + Namespace: "default", + }, + Spec: v1.PodSpec{ + Containers: []v1.Container{ + { + Name: "test-container", + ReadinessProbe: tt.readinessProbe, + }, + }, + }, + } + + var agentEnvs []v1.EnvVar + if !tt.queueProxyAvailable { + readinessProbe := pod.Spec.Containers[0].ReadinessProbe + + // Handle HTTPGet and TCPSocket probes + if readinessProbe != nil { + if readinessProbe.HTTPGet != nil || readinessProbe.TCPSocket != nil { + readinessProbeJson, err := marshalReadinessProbe(readinessProbe) + if err != nil { + t.Errorf("failed to marshal readiness probe: %v", err) + } else { + agentEnvs = append(agentEnvs, v1.EnvVar{Name: "SERVING_READINESS_PROBE", Value: readinessProbeJson}) + } + } else if readinessProbe.Exec != nil { + // Exec probes are skipped; log the information + t.Logf("INFO: Exec readiness probe skipped for pod %s/%s", pod.Namespace, pod.Name) + } + } + } + + // Validate the presence of the SERVING_READINESS_PROBE environment variable + foundEnvVar := false + actualProbeJson := "" + for _, envVar := range agentEnvs { + if envVar.Name == "SERVING_READINESS_PROBE" { + foundEnvVar = true + actualProbeJson = envVar.Value + break + } + } + + if foundEnvVar != tt.expectEnvVar { + t.Errorf("%s: expected SERVING_READINESS_PROBE to be %v, got %v", tt.name, tt.expectEnvVar, foundEnvVar) + } + + if tt.expectEnvVar && actualProbeJson != tt.expectedProbeJson { + t.Errorf("%s: expected probe JSON %q, got %q", tt.name, tt.expectedProbeJson, actualProbeJson) + } + }) + } +} + +func marshalReadinessProbe(probe *v1.Probe) (string, error) { + if probe == nil { + return "", nil + } + + // Create a custom struct to ensure all fields are included + type ReadinessProbe struct { + HTTPGet *v1.HTTPGetAction `json:"httpGet,omitempty"` + TCPSocket *v1.TCPSocketAction `json:"tcpSocket,omitempty"` + TimeoutSeconds int32 `json:"timeoutSeconds"` + PeriodSeconds int32 `json:"periodSeconds"` + SuccessThreshold int32 `json:"successThreshold"` + FailureThreshold int32 `json:"failureThreshold"` + } + + readinessProbe := ReadinessProbe{ + HTTPGet: probe.HTTPGet, + TCPSocket: probe.TCPSocket, + TimeoutSeconds: probe.TimeoutSeconds, + PeriodSeconds: probe.PeriodSeconds, + SuccessThreshold: probe.SuccessThreshold, + FailureThreshold: probe.FailureThreshold, + } + + probeJson, err := json.Marshal(readinessProbe) + if err != nil { + return "", err + } + + return string(probeJson), nil +} diff --git a/python/aiffairness/poetry.lock b/python/aiffairness/poetry.lock index 6a6ab59c005..37eceee4393 100644 --- a/python/aiffairness/poetry.lock +++ b/python/aiffairness/poetry.lock @@ -494,18 +494,18 @@ test = ["pytest (>=6)"] [[package]] name = "fastapi" -version = "0.115.0" +version = "0.115.5" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" files = [ - {file = "fastapi-0.115.0-py3-none-any.whl", hash = "sha256:17ea427674467486e997206a5ab25760f6b09e069f099b96f5b55a32fb6f1631"}, - {file = "fastapi-0.115.0.tar.gz", hash = "sha256:f93b4ca3529a8ebc6fc3fcf710e5efa8de3df9b41570958abf1d97d843138004"}, + {file = "fastapi-0.115.5-py3-none-any.whl", hash = "sha256:596b95adbe1474da47049e802f9a65ab2ffa9c2b07e7efee70eb8a66c9f2f796"}, + {file = "fastapi-0.115.5.tar.gz", hash = "sha256:0e7a4d0dc0d01c68df21887cce0945e72d3c48b9f4f79dfe7a7d53aa08fbb289"}, ] [package.dependencies] pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0" -starlette = ">=0.37.2,<0.39.0" +starlette = ">=0.40.0,<0.42.0" typing-extensions = ">=4.8.0" [package.extras] @@ -943,7 +943,7 @@ develop = true [package.dependencies] anyio = "^4.4.0" cloudevents = "^1.6.2" -fastapi = ">=0.114.1" +fastapi = ">=0.115.2" grpcio = "^1.60.0" httpx = "^0.27.2" kubernetes = ">=23.3.0" @@ -960,6 +960,7 @@ pydantic = [ python-dateutil = "^2.8.0" pyyaml = "^6.0.0" six = "^1.16.0" +starlette = ">=0.40.0,<0.41.0" tabulate = "^0.9.0" timing-asgi = "^0.3.0" uvicorn = {version = "^0.30.6", extras = ["standard"]} @@ -967,7 +968,7 @@ uvicorn = {version = "^0.30.6", extras = ["standard"]} [package.extras] logging = ["asgi-logger (>=0.1.0,<0.2.0)"] ray = ["ray[serve] (>=2.35.0,<2.36.0)"] -storage = ["azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.20.0,<13.0.0)", "azure-storage-file-share (>=12.16.0,<13.0.0)", "boto3 (>=1.29.0,<2.0.0)", "google-cloud-storage (>=2.14.0,<3.0.0)", "huggingface-hub (>=0.24.5,<0.25.0)", "requests (>=2.32.2,<3.0.0)"] +storage = ["azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.20.0,<13.0.0)", "azure-storage-file-share (>=12.16.0,<13.0.0)", "boto3 (>=1.29.0,<2.0.0)", "google-cloud-storage (>=2.14.0,<3.0.0)", "huggingface-hub[hf-transfer] (>=0.24.5,<0.25.0)", "requests (>=2.32.2,<3.0.0)"] [package.source] type = "directory" @@ -1281,7 +1282,6 @@ optional = false python-versions = ">=3.9" files = [ {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"}, - {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08"}, {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0"}, {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51"}, @@ -1302,7 +1302,6 @@ files = [ {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:43498c0bdb43d55cb162cdc8c06fac328ccb5d2eabe3cadeb3529ae6f0517c32"}, {file = "pandas-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:d187d355ecec3629624fccb01d104da7d7f391db0311145817525281e2804d23"}, {file = "pandas-2.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0ca6377b8fca51815f382bd0b697a0814c8bda55115678cbc94c30aacbb6eff2"}, - {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:001910ad31abc7bf06f49dcc903755d2f7f3a9186c0c040b827e522e9cef0863"}, {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66b479b0bd07204e37583c191535505410daa8df638fd8e75ae1b383851fe921"}, {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a77e9d1c386196879aa5eb712e77461aaee433e54c68cf253053a73b7e49c33a"}, @@ -2011,13 +2010,13 @@ files = [ [[package]] name = "starlette" -version = "0.38.6" +version = "0.40.0" description = "The little ASGI library that shines." optional = false python-versions = ">=3.8" files = [ - {file = "starlette-0.38.6-py3-none-any.whl", hash = "sha256:4517a1409e2e73ee4951214ba012052b9e16f60e90d73cfb06192c19203bbb05"}, - {file = "starlette-0.38.6.tar.gz", hash = "sha256:863a1588f5574e70a821dadefb41e4881ea451a47a3cd1b4df359d4ffefe5ead"}, + {file = "starlette-0.40.0-py3-none-any.whl", hash = "sha256:c494a22fae73805376ea6bf88439783ecfba9aac88a43911b48c653437e784c4"}, + {file = "starlette-0.40.0.tar.gz", hash = "sha256:1a3139688fb298ce5e2d661d37046a66ad996ce94be4d4983be019a23a04ea35"}, ] [package.dependencies] diff --git a/python/artexplainer/artserver/__main__.py b/python/artexplainer/artserver/__main__.py index 276a320a500..7cf873d34d1 100644 --- a/python/artexplainer/artserver/__main__.py +++ b/python/artexplainer/artserver/__main__.py @@ -18,6 +18,7 @@ import kserve from kserve import logging +from kserve.model import PredictorConfig DEFAULT_ADVERSARY_TYPE = "SquareAttack" @@ -44,9 +45,17 @@ if __name__ == "__main__": if args.configure_logging: logging.configure_logging(args.log_config_file) + predictor_config = PredictorConfig( + predictor_host=args.predictor_host, + predictor_protocol=args.predictor_protocol, + predictor_use_ssl=args.predictor_use_ssl, + predictor_request_timeout_seconds=args.predictor_request_timeout_seconds, + predictor_request_retries=args.predictor_request_retries, + predictor_health_check=args.enable_predictor_health_check, + ) model = ARTModel( args.model_name, - args.predictor_host, + predictor_config, adversary_type=args.adversary_type, nb_classes=args.nb_classes, max_iter=args.max_iter, diff --git a/python/artexplainer/artserver/model.py b/python/artexplainer/artserver/model.py index 7d144b495ef..297c6b0f9da 100644 --- a/python/artexplainer/artserver/model.py +++ b/python/artexplainer/artserver/model.py @@ -22,6 +22,7 @@ import kserve from kserve.logging import logger +from kserve.model import PredictorConfig nest_asyncio.apply() @@ -31,14 +32,12 @@ class ARTModel(kserve.Model): # pylint:disable=c-extension-no-member def __init__( self, name: str, - predictor_host: str, + predictor_config: PredictorConfig, adversary_type: str, nb_classes: str, max_iter: str, ): - super().__init__(name) - self.name = name - self.predictor_host = predictor_host + super().__init__(name, predictor_config) if str.lower(adversary_type) != "squareattack": raise Exception("Invalid adversary type: %s" % adversary_type) self.adversary_type = adversary_type diff --git a/python/artexplainer/poetry.lock b/python/artexplainer/poetry.lock index 7c7678b6758..b4eb1754c64 100644 --- a/python/artexplainer/poetry.lock +++ b/python/artexplainer/poetry.lock @@ -410,18 +410,18 @@ test = ["pytest (>=6)"] [[package]] name = "fastapi" -version = "0.115.0" +version = "0.115.5" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" files = [ - {file = "fastapi-0.115.0-py3-none-any.whl", hash = "sha256:17ea427674467486e997206a5ab25760f6b09e069f099b96f5b55a32fb6f1631"}, - {file = "fastapi-0.115.0.tar.gz", hash = "sha256:f93b4ca3529a8ebc6fc3fcf710e5efa8de3df9b41570958abf1d97d843138004"}, + {file = "fastapi-0.115.5-py3-none-any.whl", hash = "sha256:596b95adbe1474da47049e802f9a65ab2ffa9c2b07e7efee70eb8a66c9f2f796"}, + {file = "fastapi-0.115.5.tar.gz", hash = "sha256:0e7a4d0dc0d01c68df21887cce0945e72d3c48b9f4f79dfe7a7d53aa08fbb289"}, ] [package.dependencies] pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0" -starlette = ">=0.37.2,<0.39.0" +starlette = ">=0.40.0,<0.42.0" typing-extensions = ">=4.8.0" [package.extras] @@ -717,7 +717,7 @@ develop = true [package.dependencies] anyio = "^4.4.0" cloudevents = "^1.6.2" -fastapi = ">=0.114.1" +fastapi = ">=0.115.2" grpcio = "^1.60.0" httpx = "^0.27.2" kubernetes = ">=23.3.0" @@ -734,6 +734,7 @@ pydantic = [ python-dateutil = "^2.8.0" pyyaml = "^6.0.0" six = "^1.16.0" +starlette = ">=0.40.0,<0.41.0" tabulate = "^0.9.0" timing-asgi = "^0.3.0" uvicorn = {version = "^0.30.6", extras = ["standard"]} @@ -741,7 +742,7 @@ uvicorn = {version = "^0.30.6", extras = ["standard"]} [package.extras] logging = ["asgi-logger (>=0.1.0,<0.2.0)"] ray = ["ray[serve] (>=2.35.0,<2.36.0)"] -storage = ["azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.20.0,<13.0.0)", "azure-storage-file-share (>=12.16.0,<13.0.0)", "boto3 (>=1.29.0,<2.0.0)", "google-cloud-storage (>=2.14.0,<3.0.0)", "huggingface-hub (>=0.24.5,<0.25.0)", "requests (>=2.32.2,<3.0.0)"] +storage = ["azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.20.0,<13.0.0)", "azure-storage-file-share (>=12.16.0,<13.0.0)", "boto3 (>=1.29.0,<2.0.0)", "google-cloud-storage (>=2.14.0,<3.0.0)", "huggingface-hub[hf-transfer] (>=0.24.5,<0.25.0)", "requests (>=2.32.2,<3.0.0)"] [package.source] type = "directory" @@ -1163,7 +1164,6 @@ optional = false python-versions = ">=3.9" files = [ {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"}, - {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08"}, {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0"}, {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51"}, @@ -1184,7 +1184,6 @@ files = [ {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:43498c0bdb43d55cb162cdc8c06fac328ccb5d2eabe3cadeb3529ae6f0517c32"}, {file = 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"The little ASGI library that shines." optional = false python-versions = ">=3.8" files = [ - {file = "starlette-0.38.6-py3-none-any.whl", hash = "sha256:4517a1409e2e73ee4951214ba012052b9e16f60e90d73cfb06192c19203bbb05"}, - {file = "starlette-0.38.6.tar.gz", hash = "sha256:863a1588f5574e70a821dadefb41e4881ea451a47a3cd1b4df359d4ffefe5ead"}, + {file = "starlette-0.40.0-py3-none-any.whl", hash = "sha256:c494a22fae73805376ea6bf88439783ecfba9aac88a43911b48c653437e784c4"}, + {file = "starlette-0.40.0.tar.gz", hash = "sha256:1a3139688fb298ce5e2d661d37046a66ad996ce94be4d4983be019a23a04ea35"}, ] [package.dependencies] diff --git a/python/custom_model/poetry.lock b/python/custom_model/poetry.lock index 6e002445651..ce7f056fdec 100644 --- a/python/custom_model/poetry.lock +++ b/python/custom_model/poetry.lock @@ -479,18 +479,18 @@ test = ["pytest (>=6)"] [[package]] name = "fastapi" -version = "0.115.0" +version = "0.115.3" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" files = [ - {file = "fastapi-0.115.0-py3-none-any.whl", hash = "sha256:17ea427674467486e997206a5ab25760f6b09e069f099b96f5b55a32fb6f1631"}, - {file = "fastapi-0.115.0.tar.gz", hash = "sha256:f93b4ca3529a8ebc6fc3fcf710e5efa8de3df9b41570958abf1d97d843138004"}, + {file = "fastapi-0.115.3-py3-none-any.whl", hash = "sha256:8035e8f9a2b0aa89cea03b6c77721178ed5358e1aea4cd8570d9466895c0638c"}, + {file = "fastapi-0.115.3.tar.gz", hash = "sha256:c091c6a35599c036d676fa24bd4a6e19fa30058d93d950216cdc672881f6f7db"}, ] [package.dependencies] pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0" -starlette = ">=0.37.2,<0.39.0" +starlette = ">=0.40.0,<0.42.0" typing-extensions = ">=4.8.0" [package.extras] @@ -953,7 +953,7 @@ develop = true [package.dependencies] anyio = "^4.4.0" cloudevents = "^1.6.2" -fastapi = ">=0.114.1" +fastapi = ">=0.115.2" grpcio = "^1.60.0" httpx = "^0.27.2" kubernetes = ">=23.3.0" @@ -971,6 +971,7 @@ python-dateutil = "^2.8.0" pyyaml = "^6.0.0" ray = {version = "~2.35.0", extras = ["serve"], optional = true} six = "^1.16.0" +starlette = ">=0.40.0,<0.41.0" tabulate = "^0.9.0" timing-asgi = "^0.3.0" uvicorn = {version = "^0.30.6", extras = ["standard"]} @@ -978,7 +979,7 @@ uvicorn = {version = "^0.30.6", extras = ["standard"]} [package.extras] logging = ["asgi-logger (>=0.1.0,<0.2.0)"] ray = ["ray[serve] (>=2.35.0,<2.36.0)"] -storage = ["azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.20.0,<13.0.0)", "azure-storage-file-share (>=12.16.0,<13.0.0)", "boto3 (>=1.29.0,<2.0.0)", "google-cloud-storage (>=2.14.0,<3.0.0)", "huggingface-hub (>=0.24.5,<0.25.0)", "requests (>=2.32.2,<3.0.0)"] +storage = ["azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.20.0,<13.0.0)", "azure-storage-file-share (>=12.16.0,<13.0.0)", "boto3 (>=1.29.0,<2.0.0)", "google-cloud-storage (>=2.14.0,<3.0.0)", "huggingface-hub[hf-transfer] (>=0.24.5,<0.25.0)", "requests (>=2.32.2,<3.0.0)"] [package.source] type = "directory" @@ -1614,7 +1615,6 @@ optional = false python-versions = ">=3.9" files = [ {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"}, - {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08"}, {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0"}, {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51"}, @@ -1635,7 +1635,6 @@ files = [ {file = 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"sha256:a77e9d1c386196879aa5eb712e77461aaee433e54c68cf253053a73b7e49c33a"}, @@ -2480,13 +2479,13 @@ files = [ [[package]] name = "starlette" -version = "0.38.6" +version = "0.40.0" description = "The little ASGI library that shines." optional = false python-versions = ">=3.8" files = [ - {file = "starlette-0.38.6-py3-none-any.whl", hash = "sha256:4517a1409e2e73ee4951214ba012052b9e16f60e90d73cfb06192c19203bbb05"}, - {file = "starlette-0.38.6.tar.gz", hash = "sha256:863a1588f5574e70a821dadefb41e4881ea451a47a3cd1b4df359d4ffefe5ead"}, + {file = "starlette-0.40.0-py3-none-any.whl", hash = "sha256:c494a22fae73805376ea6bf88439783ecfba9aac88a43911b48c653437e784c4"}, + {file = "starlette-0.40.0.tar.gz", hash = "sha256:1a3139688fb298ce5e2d661d37046a66ad996ce94be4d4983be019a23a04ea35"}, ] [package.dependencies] diff --git a/python/custom_tokenizer/poetry.lock b/python/custom_tokenizer/poetry.lock index e14cecb10b7..feadd4cc467 100644 --- a/python/custom_tokenizer/poetry.lock +++ b/python/custom_tokenizer/poetry.lock @@ -273,18 +273,18 @@ test = ["pytest (>=6)"] [[package]] name = "fastapi" -version = "0.115.0" +version = "0.115.5" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" files = [ - {file = "fastapi-0.115.0-py3-none-any.whl", hash = "sha256:17ea427674467486e997206a5ab25760f6b09e069f099b96f5b55a32fb6f1631"}, - {file = "fastapi-0.115.0.tar.gz", hash = "sha256:f93b4ca3529a8ebc6fc3fcf710e5efa8de3df9b41570958abf1d97d843138004"}, + {file = "fastapi-0.115.5-py3-none-any.whl", hash = "sha256:596b95adbe1474da47049e802f9a65ab2ffa9c2b07e7efee70eb8a66c9f2f796"}, + {file = "fastapi-0.115.5.tar.gz", hash = "sha256:0e7a4d0dc0d01c68df21887cce0945e72d3c48b9f4f79dfe7a7d53aa08fbb289"}, ] [package.dependencies] pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0" -starlette = ">=0.37.2,<0.39.0" +starlette = ">=0.40.0,<0.42.0" typing-extensions = ">=4.8.0" [package.extras] @@ -511,7 +511,7 @@ develop = true [package.dependencies] anyio = "^4.4.0" cloudevents = "^1.6.2" -fastapi = ">=0.114.1" +fastapi = ">=0.115.2" grpcio = "^1.60.0" httpx = "^0.27.2" kubernetes = ">=23.3.0" @@ -528,6 +528,7 @@ pydantic = [ python-dateutil = "^2.8.0" pyyaml = "^6.0.0" six = "^1.16.0" +starlette = ">=0.40.0,<0.41.0" tabulate = "^0.9.0" timing-asgi = "^0.3.0" uvicorn = {version = "^0.30.6", extras = ["standard"]} @@ -535,7 +536,7 @@ uvicorn = {version = "^0.30.6", extras = ["standard"]} [package.extras] logging = ["asgi-logger (>=0.1.0,<0.2.0)"] ray = ["ray[serve] (>=2.35.0,<2.36.0)"] -storage = ["azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.20.0,<13.0.0)", "azure-storage-file-share (>=12.16.0,<13.0.0)", "boto3 (>=1.29.0,<2.0.0)", "google-cloud-storage (>=2.14.0,<3.0.0)", "huggingface-hub (>=0.24.5,<0.25.0)", "requests (>=2.32.2,<3.0.0)"] +storage = ["azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.20.0,<13.0.0)", "azure-storage-file-share (>=12.16.0,<13.0.0)", "boto3 (>=1.29.0,<2.0.0)", "google-cloud-storage (>=2.14.0,<3.0.0)", "huggingface-hub[hf-transfer] (>=0.24.5,<0.25.0)", "requests (>=2.32.2,<3.0.0)"] [package.source] type = "directory" @@ -774,7 +775,6 @@ optional = false python-versions = ">=3.9" files = [ {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"}, - {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08"}, {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0"}, {file = 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a/python/custom_tokenizer/transformer.py b/python/custom_tokenizer/transformer.py index 73f4b19abf5..6b492c673ba 100644 --- a/python/custom_tokenizer/transformer.py +++ b/python/custom_tokenizer/transformer.py @@ -35,13 +35,9 @@ class Tokenizer(kserve.Model): def __init__( self, name: str, - predictor_host: str, - predictor_protocol: str, - predictor_use_ssl: bool, + predictor_config: PredictorConfig, ): - super().__init__( - name, PredictorConfig(predictor_host, predictor_protocol, predictor_use_ssl) - ) + super().__init__(name, predictor_config) self.short_paragraph_text = ( "The Apollo program was the third United States human spaceflight program. " "First conceived as a three-man spacecraft to follow the one-man Project Mercury " @@ -128,8 +124,13 @@ def postprocess( logging.configure_logging(args.log_config_file) model = Tokenizer( args.model_name, - predictor_host=args.predictor_host, - predictor_protocol=args.predictor_protocol, - predictor_use_ssl=args.predictor_use_ssl, + PredictorConfig( + args.predictor_host, + args.predictor_protocol, + args.predictor_use_ssl, + args.predictor_request_timeout_seconds, + args.predictor_request_retries, + args.enable_predictor_health_check, + ), ) ModelServer().start([model]) diff --git a/python/custom_transformer/model.py b/python/custom_transformer/model.py index 83d13274767..06a25d8f613 100644 --- a/python/custom_transformer/model.py +++ b/python/custom_transformer/model.py @@ -63,13 +63,11 @@ class ImageTransformer(Model): def __init__( self, name: str, - predictor_host: str, - predictor_protocol: str, - predictor_use_ssl: bool, + predictor_config: PredictorConfig, ): super().__init__( name, - PredictorConfig(predictor_host, predictor_protocol, predictor_use_ssl), + predictor_config, return_response_headers=True, ) self.ready = True @@ -133,8 +131,13 @@ def postprocess( logging.configure_logging(args.log_config_file) model = ImageTransformer( args.model_name, - predictor_host=args.predictor_host, - predictor_protocol=args.predictor_protocol, - predictor_use_ssl=args.predictor_use_ssl, + PredictorConfig( + args.predictor_host, + args.predictor_protocol, + args.predictor_use_ssl, + args.predictor_request_timeout_seconds, + args.predictor_request_retries, + args.enable_predictor_health_check, + ), ) ModelServer().start([model]) diff --git a/python/custom_transformer/model_grpc.py b/python/custom_transformer/model_grpc.py index aabd52f0592..70c341aacd5 100644 --- a/python/custom_transformer/model_grpc.py +++ b/python/custom_transformer/model_grpc.py @@ -19,6 +19,7 @@ from PIL import Image from torchvision import transforms from kserve import Model, ModelServer, model_server, InferInput, InferRequest, logging +from kserve.model import PredictorConfig def image_transform(data): @@ -43,11 +44,12 @@ def image_transform(data): class ImageTransformer(Model): - def __init__(self, name: str, predictor_host: str, protocol: str): - super().__init__(name) - self.predictor_host = predictor_host - self.protocol = protocol - self.model_name = name + def __init__( + self, + name: str, + predictor_config: PredictorConfig, + ): + super().__init__(name, predictor_config) self.ready = True def preprocess( @@ -65,9 +67,7 @@ def preprocess( data=input_tensors, ) ] - infer_request = InferRequest( - model_name=self.model_name, infer_inputs=infer_inputs - ) + infer_request = InferRequest(model_name=self.name, infer_inputs=infer_inputs) return infer_request @@ -79,7 +79,13 @@ def preprocess( logging.configure_logging(args.log_config_file) model = ImageTransformer( args.model_name, - predictor_host=args.predictor_host, - protocol=args.predictor_protocol, + PredictorConfig( + args.predictor_host, + args.predictor_protocol, + args.predictor_use_ssl, + args.predictor_request_timeout_seconds, + args.predictor_request_retries, + args.enable_predictor_health_check, + ), ) ModelServer(workers=1).start([model]) diff --git a/python/custom_transformer/poetry.lock b/python/custom_transformer/poetry.lock index 0056482b86e..3cca0a31460 100644 --- a/python/custom_transformer/poetry.lock +++ b/python/custom_transformer/poetry.lock @@ -273,18 +273,18 @@ test = ["pytest (>=6)"] [[package]] name = "fastapi" -version = "0.115.0" +version = "0.115.3" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" files = [ - {file = "fastapi-0.115.0-py3-none-any.whl", hash = "sha256:17ea427674467486e997206a5ab25760f6b09e069f099b96f5b55a32fb6f1631"}, - {file = "fastapi-0.115.0.tar.gz", hash = "sha256:f93b4ca3529a8ebc6fc3fcf710e5efa8de3df9b41570958abf1d97d843138004"}, + {file 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INFERENCE_CONTENT_LENGTH_HEADER = "inference-header-content-length" + + +class ModelType(Enum): + EXPLAINER = 1 + PREDICTOR = 2 diff --git a/python/kserve/kserve/errors.py b/python/kserve/kserve/errors.py index e00a3523c42..0549461ebf0 100644 --- a/python/kserve/kserve/errors.py +++ b/python/kserve/kserve/errors.py @@ -100,6 +100,26 @@ def __str__(self): return self.reason +class ServerNotReady(RuntimeError): + def __init__(self, detail: str = None): + self.error_msg = "Server is not ready." + if detail: + self.error_msg = self.error_msg + " " + detail + + def __str__(self): + return self.error_msg + + +class ServerNotLive(RuntimeError): + def __init__(self, detail: str = None): + self.error_msg = "Server is not live." + if detail: + self.error_msg = self.error_msg + " " + detail + + def __str__(self): + return self.error_msg + + async def exception_handler(_, exc): logger.error("Exception:", exc_info=exc) return JSONResponse( @@ -153,6 +173,20 @@ async def unsupported_protocol_error_handler(_, exc): ) +async def server_not_ready_handler(_, exc): + logger.error("Exception:", exc_info=exc) + return JSONResponse( + status_code=HTTPStatus.SERVICE_UNAVAILABLE, content={"error": str(exc)} + ) + + +async def server_not_live_handler(_, exc): + logger.error("Exception:", exc_info=exc) + return JSONResponse( + status_code=HTTPStatus.SERVICE_UNAVAILABLE, content={"error": str(exc)} + ) + + class NoModelReady(RuntimeError): def __init__(self, models: [], detail: str = None): self.models = models diff --git a/python/kserve/kserve/inference_client.py b/python/kserve/kserve/inference_client.py index 9593f4f3093..e2378cc965d 100644 --- a/python/kserve/kserve/inference_client.py +++ b/python/kserve/kserve/inference_client.py @@ -94,6 +94,7 @@ class InferenceGRPCClient: the channel. :param timeout (optional) The maximum end-to-end time, in seconds, the request is allowed to take. By default, client timeout is 60 seconds. To disable timeout explicitly set it to 'None'. + :param retries (optional) The number of retries if the request fails. This will be ignored if retry policy is provided in the 'channel_args'. """ def __init__( @@ -107,6 +108,7 @@ def __init__( creds: grpc.ChannelCredentials = None, channel_args: List[Tuple[str, Any]] = None, timeout: Optional[float] = 60, + retries: Optional[int] = 3, ): # requires appending the port to the predictor host for gRPC to work @@ -121,7 +123,7 @@ def __init__( # Apply retry to all methods "name": [{}], "retryPolicy": { - "maxAttempts": 3, + "maxAttempts": retries, "initialBackoff": "0.1s", "maxBackoff": "1s", "backoffMultiplier": 2, @@ -143,16 +145,17 @@ def __init__( break if ("grpc.enable_retries", 1) not in channel_opt: channel_opt.append(("grpc.enable_retries", 1)) - if not is_exist: + if not is_exist and retries > 0: channel_opt.append(("grpc.service_config", service_config_json)) else: # To specify custom channel_opt, see the channel_args parameter. channel_opt = [ ("grpc.max_send_message_length", -1), ("grpc.max_receive_message_length", -1), - ("grpc.enable_retries", 1), - ("grpc.service_config", service_config_json), ] + if retries > 0: + channel_opt.append(("grpc.enable_retries", 1)) + channel_opt.append(("grpc.service_config", service_config_json)) if creds: self._channel = grpc.aio.secure_channel(url, creds, options=channel_opt) @@ -413,6 +416,10 @@ def _construct_url( """ if isinstance(base_url, str): base_url = httpx.URL(base_url) + if base_url.scheme not in ("http", "https"): + raise httpx.InvalidURL( + "Base url should have 'http://' or 'https://' protocol" + ) if base_url.is_relative_url: raise httpx.InvalidURL("Base url should not be a relative url") if not base_url.raw_path.endswith(b"/") and not relative_url.startswith("/"): diff --git a/python/kserve/kserve/model.py b/python/kserve/kserve/model.py index 28b0cf5966f..ff44ab13930 100644 --- a/python/kserve/kserve/model.py +++ b/python/kserve/kserve/model.py @@ -22,7 +22,6 @@ from .constants.constants import ( PredictorProtocol, - PREDICTOR_BASE_URL_FORMAT, EXPLAINER_BASE_URL_FORMAT, ) from .errors import InvalidInput @@ -37,6 +36,7 @@ ) from .protocol.grpc.grpc_predict_v2_pb2 import ModelInferRequest from .protocol.infer_type import InferRequest, InferResponse +from .utils.inference_client_factory import InferenceClientFactory class BaseKServeModel(ABC): @@ -139,6 +139,8 @@ def __init__( predictor_protocol: str = PredictorProtocol.REST_V1.value, predictor_use_ssl: bool = False, predictor_request_timeout_seconds: int = 600, + predictor_request_retries: int = 0, + predictor_health_check: bool = False, ): """The configuration for the http call to the predictor @@ -146,12 +148,27 @@ def __init__( predictor_host: The host name of the predictor predictor_protocol: The inference protocol used for predictor http call predictor_use_ssl: Enable using ssl for http connection to the predictor - predictor_request_timeout_seconds: The request timeout seconds for the predictor http call + predictor_request_timeout_seconds: The request timeout seconds for the predictor http call. Default is 600 seconds. + predictor_request_retries: The number of retries if the predictor request fails. Default is 0. + predictor_health_check: Enable predictor health check """ self.predictor_host = predictor_host self.predictor_protocol = predictor_protocol self.predictor_use_ssl = predictor_use_ssl self.predictor_request_timeout_seconds = predictor_request_timeout_seconds + self.predictor_request_retries = predictor_request_retries + self.predictor_health_check = predictor_health_check + + @property + def predictor_base_url(self) -> str: + """ + Get the base url for the predictor. + + Returns: + str: The base url for the predictor + """ + protocol = "https" if self.predictor_use_ssl else "http" + return f"{protocol}://{self.predictor_host}" class Model(InferenceModel): @@ -189,7 +206,13 @@ def __init__( else 600 ) self.use_ssl = predictor_config.predictor_use_ssl if predictor_config else False + self.retries = ( + predictor_config.predictor_request_retries if predictor_config else 0 + ) self.explainer_host = None + self._predictor_base_url = ( + predictor_config.predictor_base_url if predictor_config else None + ) self._http_client_instance = None self._grpc_client_stub = None self.enable_latency_logging = False @@ -286,15 +309,22 @@ async def __call__( @property def _http_client(self) -> InferenceRESTClient: if self._http_client_instance is None and self.predictor_host: - config = RESTConfig(protocol=self.protocol, timeout=self.timeout, retries=3) - self._http_client_instance = InferenceRESTClient(config=config) + config = RESTConfig( + protocol=self.protocol, timeout=self.timeout, retries=self.retries + ) + self._http_client_instance = InferenceClientFactory().get_rest_client( + config=config + ) return self._http_client_instance @property def _grpc_client(self) -> InferenceGRPCClient: if self._grpc_client_stub is None and self.predictor_host: - self._grpc_client_stub = InferenceGRPCClient( - url=self.predictor_host, use_ssl=self.use_ssl, timeout=self.timeout + self._grpc_client_stub = InferenceClientFactory().get_grpc_client( + url=self.predictor_host, + use_ssl=self.use_ssl, + timeout=self.timeout, + retries=self.retries, ) return self._grpc_client_stub @@ -376,12 +406,8 @@ async def _http_predict( if "x-b3-traceid" in headers: predict_headers["x-b3-traceid"] = headers["x-b3-traceid"] - protocol = "https" if self.use_ssl else "http" - predict_base_url = PREDICTOR_BASE_URL_FORMAT.format( - protocol, self.predictor_host - ) response = await self._http_client.infer( - predict_base_url, + self._predictor_base_url, model_name=self.name, data=payload, headers=predict_headers, diff --git a/python/kserve/kserve/model_server.py b/python/kserve/kserve/model_server.py index f4134f0f502..588b0927f10 100644 --- a/python/kserve/kserve/model_server.py +++ b/python/kserve/kserve/model_server.py @@ -30,7 +30,7 @@ MAX_GRPC_MESSAGE_LENGTH, ) from .logging import logger -from .model import BaseKServeModel +from .model import BaseKServeModel, PredictorConfig from .model_repository import ModelRepository from .protocol.dataplane import DataPlane from .protocol.grpc.server import GRPCServer @@ -38,6 +38,7 @@ from .protocol.rest.server import UvicornServer from .utils import utils from kserve.errors import NoModelReady +from .utils.inference_client_factory import InferenceClientFactory parser = argparse.ArgumentParser( add_help=False, formatter_class=argparse.ArgumentDefaultsHelpFormatter @@ -164,6 +165,18 @@ type=int, help="The max message length for gRPC receive message.", ) +parser.add_argument( + "--predictor_request_retries", + default=0, + type=int, + help="The number of retries if predictor request fails. Defaults to 0.", +) +parser.add_argument( + "--enable_predictor_health_check", + action="store_true", + help="The Transformer will perform readiness check for the predictor in addition to " + "its health check. By default it is disabled.", +) args, _ = parser.parse_known_args() app = FastAPI( @@ -239,6 +252,17 @@ def __init__( logging.configure_logging(args.log_config_file) self.access_log_format = access_log_format self._custom_exception_handler = None + predictor_config = PredictorConfig( + predictor_host=args.predictor_host, + predictor_protocol=args.predictor_protocol, + predictor_use_ssl=args.predictor_use_ssl, + predictor_request_timeout_seconds=args.predictor_request_timeout_seconds, + predictor_request_retries=args.predictor_request_retries, + predictor_health_check=args.enable_predictor_health_check, + ) + self.dataplane = DataPlane( + model_registry=self.registered_models, predictor_config=predictor_config + ) async def _serve_rest(self): logger.info(f"Starting uvicorn with {self.workers} workers") @@ -314,6 +338,7 @@ async def stop(self, sig: Optional[int] = None): Args: sig: The signal to stop the server. Default: ``None``. """ + await InferenceClientFactory().close() logger.info("Stopping the model server") if self._rest_server: logger.info("Stopping the rest server") @@ -348,7 +373,7 @@ def default_exception_handler( """ if "exception" in context: logger.error(f"Caught exception: {context.get('exception')}") - logger.error(f"message: { context.get('message')}") + logger.error(f"message: {context.get('message')}") loop.default_exception_handler(context) def register_model(self, model: BaseKServeModel): diff --git a/python/kserve/kserve/protocol/dataplane.py b/python/kserve/kserve/protocol/dataplane.py index dc39eae0aff..4c1300cf593 100644 --- a/python/kserve/kserve/protocol/dataplane.py +++ b/python/kserve/kserve/protocol/dataplane.py @@ -23,13 +23,16 @@ from cloudevents.http import CloudEvent, from_http from cloudevents.sdk.converters.util import has_binary_headers +from ..inference_client import RESTConfig from .rest.v2_datamodels import InferenceRequest from ..constants import constants from ..constants.constants import INFERENCE_CONTENT_LENGTH_HEADER, PredictorProtocol from ..errors import InvalidInput, ModelNotFound from ..logging import logger +from ..model import PredictorConfig from ..model import InferenceVerb, BaseKServeModel, InferenceModel from ..model_repository import ModelRepository +from ..utils.inference_client_factory import InferenceClientFactory from ..utils.utils import create_response_cloudevent, is_structured_cloudevent from .infer_type import InferRequest, InferResponse from .rest.openai import OpenAIModel @@ -45,18 +48,48 @@ class DataPlane: """KServe DataPlane""" - def __init__(self, model_registry: ModelRepository): + def __init__( + self, + model_registry: ModelRepository, + predictor_config: Optional[PredictorConfig] = None, + ): self._model_registry = model_registry self._server_name = constants.KSERVE_MODEL_SERVER_NAME # Dynamically fetching version of the installed 'kserve' distribution. The assumption is # that 'kserve' will already be installed by the time this class is instantiated. self._server_version = metadata.version("kserve") + self.predictor_config = predictor_config + self._inference_grpc_client = None + self._inference_rest_client = None @property def model_registry(self): return self._model_registry + @property + def rest_client(self): + if self._inference_rest_client is None: + self._inference_rest_client = InferenceClientFactory().get_rest_client( + RESTConfig( + protocol=self.predictor_config.predictor_protocol, + retries=self.predictor_config.predictor_request_retries, + timeout=self.predictor_config.predictor_request_timeout_seconds, + ) + ) + return self._inference_rest_client + + @property + def grpc_client(self): + if self._inference_grpc_client is None: + self._inference_grpc_client = InferenceClientFactory().get_grpc_client( + url=self.predictor_config.predictor_host, + timeout=self.predictor_config.predictor_request_timeout_seconds, + retries=self.predictor_config.predictor_request_retries, + use_ssl=self.predictor_config.predictor_use_ssl, + ) + return self._inference_grpc_client + def get_model_from_registry(self, name: str) -> BaseKServeModel: model = self._model_registry.get_model(name) if model is None: @@ -200,8 +233,7 @@ async def model_metadata(self, model_name: str) -> Dict: "outputs": output_types, } - @staticmethod - async def ready() -> bool: + async def ready(self) -> bool: """Server ready. Returns ``True``. Primarily meant to be used as Kubernetes readiness check. @@ -209,6 +241,26 @@ async def ready() -> bool: Returns: bool: True """ + # If predictor host is present, then it means this is a transformer, + # We should also need to check the predictor server's health if predictor health check is enabled. + if self.predictor_config and self.predictor_config.predictor_health_check: + if ( + self.predictor_config.predictor_protocol + == PredictorProtocol.GRPC_V2.value + ): + return await self.grpc_client.is_server_ready() + elif ( + self.predictor_config.predictor_protocol + == PredictorProtocol.REST_V1.value + ): + # V1 Protocol does not have readiness endpoint. We will use server liveness endpoint instead. + return await self.rest_client.is_server_live( + self.predictor_config.predictor_base_url + ) + else: + return await self._inference_rest_client.is_server_ready( + self.predictor_config.predictor_base_url + ) return True async def model_ready(self, model_name: str) -> bool: @@ -226,6 +278,22 @@ async def model_ready(self, model_name: str) -> bool: if self._model_registry.get_model(model_name) is None: raise ModelNotFound(model_name) + # If predictor host is present, then it means this is a transformer, + # We should also check the predictor model's health if predictor health check is enabled. + if self.predictor_config and self.predictor_config.predictor_health_check: + if ( + self.predictor_config.predictor_protocol + == PredictorProtocol.GRPC_V2.value + ): + is_ready = await self.grpc_client.is_model_ready(model_name=model_name) + return is_ready + else: + is_ready = await self.rest_client.is_model_ready( + base_url=self.predictor_config.predictor_base_url, + model_name=model_name, + ) + return is_ready + return await self._model_registry.is_model_ready(model_name) def decode( diff --git a/python/kserve/kserve/protocol/grpc/servicer.py b/python/kserve/kserve/protocol/grpc/servicer.py index c5b0b17994d..cfd89b26a43 100644 --- a/python/kserve/kserve/protocol/grpc/servicer.py +++ b/python/kserve/kserve/protocol/grpc/servicer.py @@ -12,7 +12,6 @@ # See the License for the specific language governing permissions and # limitations under the License. - from . import grpc_predict_v2_pb2 as pb from . import grpc_predict_v2_pb2_grpc from kserve.protocol.infer_type import InferRequest, InferResponse diff --git a/python/kserve/kserve/protocol/rest/server.py b/python/kserve/kserve/protocol/rest/server.py index 8f601355eb5..b7d89e9a2f7 100644 --- a/python/kserve/kserve/protocol/rest/server.py +++ b/python/kserve/kserve/protocol/rest/server.py @@ -27,13 +27,17 @@ InvalidInput, ModelNotFound, ModelNotReady, + ServerNotLive, + ServerNotReady, + UnsupportedProtocol, generic_exception_handler, inference_error_handler, invalid_input_handler, model_not_found_handler, model_not_ready_handler, not_implemented_error_handler, - UnsupportedProtocol, + server_not_live_handler, + server_not_ready_handler, unsupported_protocol_error_handler, ) from kserve.logging import trace_logger @@ -95,6 +99,8 @@ def create_application(self): self.app.add_exception_handler( UnsupportedProtocol, unsupported_protocol_error_handler ) + self.app.add_exception_handler(ServerNotLive, server_not_live_handler) + self.app.add_exception_handler(ServerNotReady, server_not_ready_handler) self.app.add_exception_handler(Exception, generic_exception_handler) diff --git a/python/kserve/kserve/protocol/rest/v1_endpoints.py b/python/kserve/kserve/protocol/rest/v1_endpoints.py index 5e3c7c59009..f45f8c1e729 100644 --- a/python/kserve/kserve/protocol/rest/v1_endpoints.py +++ b/python/kserve/kserve/protocol/rest/v1_endpoints.py @@ -53,7 +53,6 @@ async def model_ready(self, model_name: str) -> Dict[str, Union[str, bool]]: Dict[str, Union[str, bool]]: Name of the model and whether it's ready. """ model_ready = await self.dataplane.model_ready(model_name) - if not model_ready: raise ModelNotReady(model_name) diff --git a/python/kserve/kserve/protocol/rest/v2_endpoints.py b/python/kserve/kserve/protocol/rest/v2_endpoints.py index 5110fff30eb..5469b5aa10d 100644 --- a/python/kserve/kserve/protocol/rest/v2_endpoints.py +++ b/python/kserve/kserve/protocol/rest/v2_endpoints.py @@ -31,7 +31,7 @@ from ..dataplane import DataPlane from ..model_repository_extension import ModelRepositoryExtension from ...constants.constants import V2_ROUTE_PREFIX, PredictorProtocol -from ...errors import ModelNotReady +from ...errors import ModelNotReady, ServerNotLive, ServerNotReady class V2Endpoints: @@ -53,23 +53,28 @@ async def metadata(self) -> ServerMetadataResponse: """ return ServerMetadataResponse.parse_obj(self.dataplane.metadata()) - @staticmethod - async def live() -> ServerLiveResponse: + async def live(self) -> ServerLiveResponse: """Server live endpoint. Returns: ServerLiveResponse: Server live message. """ - return ServerLiveResponse(live=True) + response = await self.dataplane.live() + is_live = response["status"] == "alive" + if not is_live: + raise ServerNotLive() + return ServerLiveResponse(live=is_live) - @staticmethod - async def ready() -> ServerReadyResponse: + async def ready(self) -> ServerReadyResponse: """Server ready endpoint. Returns: ServerReadyResponse: Server ready message. """ - return ServerReadyResponse(ready=True) + is_ready = await self.dataplane.ready() + if not is_ready: + raise ServerNotReady() + return ServerReadyResponse(ready=is_ready) async def models(self) -> ListModelsResponse: """Get a list of models in the model registry. diff --git a/python/kserve/kserve/utils/inference_client_factory.py b/python/kserve/kserve/utils/inference_client_factory.py new file mode 100644 index 00000000000..5fe1bef779b --- /dev/null +++ b/python/kserve/kserve/utils/inference_client_factory.py @@ -0,0 +1,43 @@ +# Copyright 2024 The KServe 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 typing import Optional +from ..inference_client import InferenceGRPCClient, InferenceRESTClient, RESTConfig + + +class InferenceClientFactory: + _instance = None + _grpc_client: Optional[InferenceGRPCClient] = None + _rest_client: Optional[InferenceRESTClient] = None + + def __new__(cls): + if cls._instance is None: + cls._instance = super(InferenceClientFactory, cls).__new__(cls) + return cls._instance + + def get_grpc_client(self, url: str, **kwargs) -> InferenceGRPCClient: + if self._grpc_client is None: + self._grpc_client = InferenceGRPCClient(url, **kwargs) + return self._grpc_client + + def get_rest_client(self, config: RESTConfig = None) -> InferenceRESTClient: + if self._rest_client is None: + self._rest_client = InferenceRESTClient(config) + return self._rest_client + + async def close(self): + if self._grpc_client is not None: + await self._grpc_client.close() + if self._rest_client is not None: + await self._rest_client.close() diff --git a/python/kserve/poetry.lock b/python/kserve/poetry.lock index aeaf702e882..fe7263d56f9 100644 --- a/python/kserve/poetry.lock +++ b/python/kserve/poetry.lock @@ -882,18 +882,18 @@ testing = ["hatch", "pre-commit", "pytest", "tox"] [[package]] name = "fastapi" -version = "0.115.0" +version = "0.115.5" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" files = [ - {file = "fastapi-0.115.0-py3-none-any.whl", hash = "sha256:17ea427674467486e997206a5ab25760f6b09e069f099b96f5b55a32fb6f1631"}, - {file = "fastapi-0.115.0.tar.gz", hash = "sha256:f93b4ca3529a8ebc6fc3fcf710e5efa8de3df9b41570958abf1d97d843138004"}, + {file = "fastapi-0.115.5-py3-none-any.whl", hash = "sha256:596b95adbe1474da47049e802f9a65ab2ffa9c2b07e7efee70eb8a66c9f2f796"}, + {file = "fastapi-0.115.5.tar.gz", hash = "sha256:0e7a4d0dc0d01c68df21887cce0945e72d3c48b9f4f79dfe7a7d53aa08fbb289"}, ] [package.dependencies] pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0" -starlette = ">=0.37.2,<0.39.0" +starlette = ">=0.40.0,<0.42.0" typing-extensions = ">=4.8.0" [package.extras] @@ -1294,7 +1294,6 @@ files = [ {file = "grpcio-1.66.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:9c9bebc6627873ec27a70fc800f6083a13c70b23a5564788754b9ee52c5aef6c"}, {file = "grpcio-1.66.1-cp39-cp39-win32.whl", hash = "sha256:30a1c2cf9390c894c90bbc70147f2372130ad189cffef161f0432d0157973f45"}, {file = "grpcio-1.66.1-cp39-cp39-win_amd64.whl", hash = "sha256:17663598aadbedc3cacd7bbde432f541c8e07d2496564e22b214b22c7523dac8"}, - {file = "grpcio-1.66.1.tar.gz", hash = "sha256:35334f9c9745add3e357e3372756fd32d925bd52c41da97f4dfdafbde0bf0ee2"}, ] [package.extras] @@ -2296,7 +2295,6 @@ optional = false python-versions = ">=3.9" files = [ {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"}, - {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08"}, {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0"}, {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51"}, @@ -2317,7 +2315,6 @@ files = [ {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:43498c0bdb43d55cb162cdc8c06fac328ccb5d2eabe3cadeb3529ae6f0517c32"}, {file = "pandas-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:d187d355ecec3629624fccb01d104da7d7f391db0311145817525281e2804d23"}, {file = "pandas-2.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0ca6377b8fca51815f382bd0b697a0814c8bda55115678cbc94c30aacbb6eff2"}, - {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:001910ad31abc7bf06f49dcc903755d2f7f3a9186c0c040b827e522e9cef0863"}, {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66b479b0bd07204e37583c191535505410daa8df638fd8e75ae1b383851fe921"}, {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a77e9d1c386196879aa5eb712e77461aaee433e54c68cf253053a73b7e49c33a"}, @@ -3328,13 +3325,13 @@ files = [ [[package]] name = "starlette" -version = "0.38.5" +version = "0.40.0" description = "The little ASGI library that shines." optional = false python-versions = ">=3.8" files = [ - {file = "starlette-0.38.5-py3-none-any.whl", hash = "sha256:632f420a9d13e3ee2a6f18f437b0a9f1faecb0bc42e1942aa2ea0e379a4c4206"}, - {file = "starlette-0.38.5.tar.gz", hash = "sha256:04a92830a9b6eb1442c766199d62260c3d4dc9c4f9188360626b1e0273cb7077"}, + {file = "starlette-0.40.0-py3-none-any.whl", hash = "sha256:c494a22fae73805376ea6bf88439783ecfba9aac88a43911b48c653437e784c4"}, + {file = "starlette-0.40.0.tar.gz", hash = "sha256:1a3139688fb298ce5e2d661d37046a66ad996ce94be4d4983be019a23a04ea35"}, ] [package.dependencies] @@ -3987,4 +3984,4 @@ storage = ["azure-identity", "azure-storage-blob", "azure-storage-file-share", " [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.13" -content-hash = "b73631e5bbf750490d0bed303ea2428340e082443ed74199c048dd6e4bde720a" +content-hash = "abac6df9643e9bb50816e0e4a777695fae8a8355f583d06f17dc40c67d1e74c6" diff --git a/python/kserve/pyproject.toml b/python/kserve/pyproject.toml index b95abd3d302..f0e9e595788 100644 --- a/python/kserve/pyproject.toml +++ b/python/kserve/pyproject.toml @@ -35,7 +35,7 @@ exclude = ["kserve/storage/test"] [tool.poetry.dependencies] python = ">=3.9,<3.13" uvicorn = { version = "^0.30.6", extras = ["standard"] } -fastapi = ">=0.114.1" +fastapi = ">=0.115.3" cloudevents = "^1.6.2" six = "^1.16.0" kubernetes = ">=23.3.0" diff --git a/python/kserve/test/test_dataplane.py b/python/kserve/test/test_dataplane.py index ea6c8b9c3d0..2f7e5409958 100644 --- a/python/kserve/test/test_dataplane.py +++ b/python/kserve/test/test_dataplane.py @@ -18,8 +18,10 @@ import pathlib import re from unittest import mock +from unittest.mock import patch import avro +import httpx import pytest import tomlkit from cloudevents.conversion import to_binary, to_structured @@ -32,6 +34,7 @@ ) from typing import AsyncIterator, Union from kserve.errors import InvalidInput, ModelNotFound +from kserve.model import PredictorProtocol, PredictorConfig from kserve.protocol.dataplane import DataPlane from kserve.protocol.rest.openai import CompletionRequest, OpenAIModel from kserve.model_repository import ModelRepository @@ -447,3 +450,391 @@ async def test_infer_on_openai_model_raises(self): exc.value.reason == "Model TestModel is of type OpenAIModel. It does not support the infer method." ) + + +@pytest.mark.asyncio +class TestDataplaneTransformer: + + @pytest.mark.skip( + "pytest_httpx requires python >= 3.9. It can be enabled once we remove the support for python 3.8" + ) + async def test_dataplane_rest_with_ssl_enabled(self, httpx_mock): + # scenario: getting a 2xx response from predictor with ssl enabled + predictor_host = "ready.host" + httpx_mock.add_response( + url=re.compile(f"https://{predictor_host}/*"), json={"status": "alive"} + ) + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.REST_V1.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + predictor_use_ssl=True, + ), + ) + assert (await dataplane.ready()) is True + + @patch("kserve.protocol.dataplane.InferenceClientFactory.get_grpc_client") + async def test_dataplane_grpc_with_ssl_enabled(self, mock_grpc_client): + # scenario: getting a 2xx response from predictor with ssl enabled + predictor_host = "ready.host" + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.GRPC_V2.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + predictor_use_ssl=True, + ), + ) + mock_is_server_ready = mock.AsyncMock(return_value=True) + mock_grpc_client.return_value.is_server_ready = mock_is_server_ready + assert (await dataplane.ready()) is True + mock_grpc_client.assert_called_with( + url=predictor_host, timeout=5, retries=2, use_ssl=True + ) + + @pytest.mark.skip( + "pytest_httpx requires python >= 3.9. It can be enabled once we remove the support for python 3.8" + ) + async def test_server_readiness_v1(self, httpx_mock): + # scenario: getting a 2xx response from predictor + predictor_host = "ready.host" + httpx_mock.add_response( + url=re.compile(f"http://{predictor_host}/*"), json={"status": "alive"} + ) + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.REST_V1.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + assert (await dataplane.ready()) is True + + # scenario: not a 2xx response from predictor + predictor_host = "not-ready.host" + httpx_mock.add_response( + url=re.compile(f"http://{predictor_host}/*"), status_code=500 + ) + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.REST_V1.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + with pytest.raises(httpx.HTTPStatusError): + await dataplane.ready() + + @pytest.mark.skip( + "pytest_httpx requires python >= 3.9. It can be enabled once we remove the support for python 3.8" + ) + async def test_server_readiness_v2(self, httpx_mock): + # scenario: getting a 2xx response from predictor + predictor_host = "ready.host" + httpx_mock.add_response( + url=re.compile(f"http://{predictor_host}/v2/*"), json={"ready": True} + ) + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.REST_V2.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + assert (await dataplane.ready()) is True + + # scenario: getting a 2xx response from predictor and server not ready + predictor_host = "not-ready.host" + httpx_mock.add_response( + url=re.compile(f"http://{predictor_host}/v2/*"), json={"ready": False} + ) + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.REST_V2.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + assert (await dataplane.ready()) is False + + # scenario: not a 2xx response from predictor + predictor_host = "not-ready.host" + httpx_mock.add_response( + url=re.compile(f"http://{predictor_host}/v2/*"), status_code=500 + ) + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.REST_V2.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + with pytest.raises(httpx.HTTPStatusError): + await dataplane.ready() + + @patch("kserve.protocol.dataplane.InferenceClientFactory.get_grpc_client") + async def test_server_readiness_grpc_v2(self, mock_grpc_client): + # scenario: getting a 2xx response from predictor + predictor_host = "ready.host" + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.GRPC_V2.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + mock_is_server_ready = mock.AsyncMock(return_value=True) + mock_grpc_client.return_value.is_server_ready = mock_is_server_ready + assert (await dataplane.ready()) is True + mock_grpc_client.assert_called_with( + url=predictor_host, timeout=5, retries=2, use_ssl=False + ) + + # scenario: getting a 2xx response from predictor and server not ready + predictor_host = "not-ready.host" + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.GRPC_V2.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + mock_is_server_ready = mock.AsyncMock(return_value=False) + mock_grpc_client.return_value.is_server_ready = mock_is_server_ready + assert (await dataplane.ready()) is False + mock_grpc_client.assert_called_with( + url=predictor_host, timeout=5, retries=2, use_ssl=False + ) + + @pytest.mark.skip( + "pytest_httpx requires python >= 3.9. It can be enabled once we remove the support for python 3.8" + ) + async def test_model_readiness_v1(self, httpx_mock): + # scenario: getting a 2xx response from predictor + predictor_host = "ready.host" + httpx_mock.add_response( + url=re.compile(f"http://{predictor_host}/v1/*"), json={"ready": True} + ) + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.REST_V1.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + # Transformer model ready + ready_model = DummyModel("ReadyModel") + dataplane._model_registry.update(ready_model) + assert (await dataplane.model_ready(ready_model.name)) is True + + # scenario: getting a 2xx response from predictor and model not ready + predictor_host = "ready.host" + httpx_mock.add_response( + url=re.compile(f"http://{predictor_host}/v1/*"), json={"ready": False} + ) + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.REST_V1.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + # Transformer model ready + not_ready_model = DummyModel("NotReadyModel") + dataplane._model_registry.update(not_ready_model) + assert (await dataplane.model_ready(not_ready_model.name)) is False + + # scenario: not a 2xx response from predictor + predictor_host = "not-ready.host" + httpx_mock.add_response( + url=re.compile(f"http://{predictor_host}/v1/*"), status_code=503 + ) + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.REST_V1.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + # Transformer model is not ready + not_ready_model = DummyModel("NotReadyModel") + dataplane._model_registry.update(not_ready_model) + assert await dataplane.model_ready(not_ready_model.name) is False + + @pytest.mark.skip( + "pytest_httpx requires python >= 3.9. It can be enabled once we remove the support for python 3.8" + ) + async def test_model_readiness_v2(self, httpx_mock): + # scenario: getting a 2xx response from predictor + predictor_host = "ready.host" + httpx_mock.add_response( + url=re.compile(f"http://{predictor_host}/v2/*"), json={"ready": True} + ) + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.REST_V2.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + # Transformer model ready + ready_model = DummyModel("ReadyModel") + dataplane._model_registry.update(ready_model) + assert (await dataplane.model_ready(ready_model.name)) is True + + # scenario: getting a 2xx response from predictor and model not ready + predictor_host = "ready.host" + httpx_mock.add_response( + url=re.compile(f"http://{predictor_host}/v2/*"), json={"ready": False} + ) + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.REST_V2.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + # Transformer model ready + not_ready_model = DummyModel("NotReadyModel") + dataplane._model_registry.update(not_ready_model) + assert (await dataplane.model_ready(not_ready_model.name)) is False + + # scenario: not a 2xx response from predictor + predictor_host = "not-ready.host" + httpx_mock.add_response( + url=re.compile(f"http://{predictor_host}/v2/*"), status_code=503 + ) + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.REST_V2.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + # Transformer model is not ready + not_ready_model = DummyModel("NotReadyModel") + dataplane._model_registry.update(not_ready_model) + assert await dataplane.model_ready(not_ready_model.name) is False + + @patch("kserve.protocol.dataplane.InferenceClientFactory.get_grpc_client") + async def test_model_readiness_grpc_v2(self, mock_grpc_client): + # scenario: getting a 2xx response from predictor + predictor_host = "ready.host" + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.GRPC_V2.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + # Transformer model ready + ready_model = DummyModel("ReadyModel") + dataplane._model_registry.update(ready_model) + mock_is_model_ready = mock.AsyncMock(return_value=True) + mock_grpc_client.return_value.is_model_ready = mock_is_model_ready + assert (await dataplane.model_ready(ready_model.name)) is True + mock_grpc_client.assert_called_with( + url=predictor_host, timeout=5, retries=2, use_ssl=False + ) + + # scenario: getting a 2xx response from predictor and server not ready + predictor_host = "not-ready.host" + dataplane = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.GRPC_V2.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=True, + ), + ) + # Transformer model ready + not_ready_model = DummyModel("NotReadyModel") + dataplane._model_registry.update(not_ready_model) + mock_is_model_ready = mock.AsyncMock(return_value=False) + mock_grpc_client.return_value.is_model_ready = mock_is_model_ready + assert (await dataplane.model_ready(not_ready_model.name)) is False + mock_grpc_client.assert_called_with( + url=predictor_host, timeout=5, retries=2, use_ssl=False + ) + + @patch("kserve.protocol.dataplane.InferenceClientFactory.get_grpc_client") + @patch("kserve.protocol.dataplane.InferenceClientFactory.get_rest_client") + async def test_dataplane_with_predictor_health_check_false( + self, mock_rest_client, mock_grpc_client + ): + # Inference client should not be created when predictor_health_check is False + predictor_host = "ready.host" + _ = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.GRPC_V2.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=False, + ), + ) + mock_grpc_client.assert_not_called() + + _ = DataPlane( + model_registry=ModelRepository(), + predictor_config=PredictorConfig( + predictor_host=predictor_host, + predictor_protocol=PredictorProtocol.REST_V2.value, + predictor_request_retries=2, + predictor_request_timeout_seconds=5, + predictor_health_check=False, + ), + ) + mock_rest_client.assert_not_called() diff --git a/python/kserve/test/test_inference_client.py b/python/kserve/test/test_inference_client.py index abfafeaa3e1..50eca5197f3 100644 --- a/python/kserve/test/test_inference_client.py +++ b/python/kserve/test/test_inference_client.py @@ -557,3 +557,15 @@ async def test_explain(self, rest_client, protocol): headers={"Host": "test-server.com"}, timeout=2, ) + + @pytest.mark.parametrize("rest_client", ["v2"], indirect=["rest_client"]) + async def test_base_url_with_no_scheme(self, rest_client): + with pytest.raises( + httpx.InvalidURL, + match="Base url should have 'http://' or 'https://' protocol", + ): + await rest_client.is_server_ready( + "test-server.com", + headers={"Host": "test-server.com"}, + timeout=1.3, + ) diff --git a/python/lgbserver/poetry.lock b/python/lgbserver/poetry.lock index 26cd98e73aa..8cc7d18119f 100644 --- a/python/lgbserver/poetry.lock +++ b/python/lgbserver/poetry.lock @@ -606,18 +606,18 @@ test = ["pytest (>=6)"] [[package]] name = "fastapi" -version = "0.115.0" +version = "0.115.5" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" files = [ - {file = "fastapi-0.115.0-py3-none-any.whl", hash = "sha256:17ea427674467486e997206a5ab25760f6b09e069f099b96f5b55a32fb6f1631"}, - {file = "fastapi-0.115.0.tar.gz", hash = "sha256:f93b4ca3529a8ebc6fc3fcf710e5efa8de3df9b41570958abf1d97d843138004"}, + {file = "fastapi-0.115.5-py3-none-any.whl", hash = "sha256:596b95adbe1474da47049e802f9a65ab2ffa9c2b07e7efee70eb8a66c9f2f796"}, + {file = "fastapi-0.115.5.tar.gz", hash = "sha256:0e7a4d0dc0d01c68df21887cce0945e72d3c48b9f4f79dfe7a7d53aa08fbb289"}, ] [package.dependencies] pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0" -starlette = ">=0.37.2,<0.39.0" +starlette = ">=0.40.0,<0.42.0" typing-extensions = ">=4.8.0" [package.extras] @@ -950,6 +950,70 @@ files = [ 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true} +huggingface-hub = {version = "^0.24.5", extras = ["hf-transfer"], optional = true} kubernetes = ">=23.3.0" numpy = "^1.26.0" orjson = "^3.9.15" @@ -1172,6 +1237,7 @@ python-dateutil = "^2.8.0" pyyaml = "^6.0.0" requests = {version = "^2.32.2", optional = true} six = "^1.16.0" +starlette = ">=0.40.0,<0.41.0" tabulate = "^0.9.0" timing-asgi = "^0.3.0" uvicorn = {version = "^0.30.6", extras = ["standard"]} @@ -1179,7 +1245,7 @@ uvicorn = {version = "^0.30.6", extras = ["standard"]} [package.extras] logging = ["asgi-logger (>=0.1.0,<0.2.0)"] ray = ["ray[serve] (>=2.35.0,<2.36.0)"] -storage = ["azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.20.0,<13.0.0)", "azure-storage-file-share (>=12.16.0,<13.0.0)", "boto3 (>=1.29.0,<2.0.0)", "google-cloud-storage (>=2.14.0,<3.0.0)", "huggingface-hub (>=0.24.5,<0.25.0)", "requests (>=2.32.2,<3.0.0)"] +storage = ["azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.20.0,<13.0.0)", "azure-storage-file-share 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"sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51"}, @@ -1483,7 +1548,6 @@ files = [ {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:43498c0bdb43d55cb162cdc8c06fac328ccb5d2eabe3cadeb3529ae6f0517c32"}, {file = "pandas-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:d187d355ecec3629624fccb01d104da7d7f391db0311145817525281e2804d23"}, {file = "pandas-2.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0ca6377b8fca51815f382bd0b697a0814c8bda55115678cbc94c30aacbb6eff2"}, - {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:001910ad31abc7bf06f49dcc903755d2f7f3a9186c0c040b827e522e9cef0863"}, {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66b479b0bd07204e37583c191535505410daa8df638fd8e75ae1b383851fe921"}, {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a77e9d1c386196879aa5eb712e77461aaee433e54c68cf253053a73b7e49c33a"}, @@ -2206,13 +2270,13 @@ files = [ [[package]] name = "starlette" -version = "0.38.6" +version = "0.40.0" description = "The little ASGI library that shines." optional = false python-versions = ">=3.8" files = [ - {file = "starlette-0.38.6-py3-none-any.whl", hash = "sha256:4517a1409e2e73ee4951214ba012052b9e16f60e90d73cfb06192c19203bbb05"}, - {file = "starlette-0.38.6.tar.gz", hash = "sha256:863a1588f5574e70a821dadefb41e4881ea451a47a3cd1b4df359d4ffefe5ead"}, + {file = "starlette-0.40.0-py3-none-any.whl", hash = "sha256:c494a22fae73805376ea6bf88439783ecfba9aac88a43911b48c653437e784c4"}, + {file = "starlette-0.40.0.tar.gz", hash = "sha256:1a3139688fb298ce5e2d661d37046a66ad996ce94be4d4983be019a23a04ea35"}, ] [package.dependencies] diff --git a/test/e2e/common/utils.py b/test/e2e/common/utils.py index 08fe08d812a..2f9a8324b9c 100644 --- a/test/e2e/common/utils.py +++ b/test/e2e/common/utils.py @@ -341,3 +341,22 @@ def generate( return preds else: response.raise_for_status() + + +def is_model_ready( + rest_client, service_name, model_name, version=constants.KSERVE_V1BETA1_VERSION +): + kfs_client = KServeClient( + config_file=os.environ.get("KUBECONFIG", "~/.kube/config") + ) + isvc = kfs_client.get( + service_name, + namespace=KSERVE_TEST_NAMESPACE, + version=version, + ) + scheme, cluster_ip, host, path = get_isvc_endpoint(isvc) + if model_name is None: + model_name = service_name + base_url = f"{scheme}://{cluster_ip}{path}" + headers = {"Host": host} + return rest_client.is_model_ready(base_url, model_name, headers=headers) diff --git a/test/e2e/custom/test_custom_model_grpc.py b/test/e2e/custom/test_custom_model_grpc.py index c7719f82db4..6df68644b26 100644 --- a/test/e2e/custom/test_custom_model_grpc.py +++ b/test/e2e/custom/test_custom_model_grpc.py @@ -29,8 +29,13 @@ ) from kubernetes.client import V1ResourceRequirements from kubernetes import client -from kubernetes.client import V1Container, V1ContainerPort -from ..common.utils import KSERVE_TEST_NAMESPACE, predict_isvc, predict_grpc +from kubernetes.client import V1Container, V1ContainerPort, V1EnvVar +from ..common.utils import ( + KSERVE_TEST_NAMESPACE, + is_model_ready, + predict_isvc, + predict_grpc, +) @pytest.mark.skip(reason="Not testable in ODH at the moment") @@ -211,7 +216,107 @@ async def test_predictor_grpc_with_transformer_http(rest_v2_client): requests={"cpu": "50m", "memory": "128Mi"}, limits={"cpu": "100m", "memory": "1Gi"}, ), - args=["--model_name", model_name, "--predictor_protocol", "grpc-v2"], + args=[ + "--model_name", + model_name, + "--predictor_protocol", + "grpc-v2", + "--enable_predictor_health_check", + ], + ) + ] + ) + + isvc = V1beta1InferenceService( + api_version=constants.KSERVE_V1BETA1, + kind=constants.KSERVE_KIND, + metadata=client.V1ObjectMeta( + name=service_name, namespace=KSERVE_TEST_NAMESPACE + ), + spec=V1beta1InferenceServiceSpec(predictor=predictor, transformer=transformer), + ) + + kserve_client = KServeClient( + config_file=os.environ.get("KUBECONFIG", "~/.kube/config") + ) + kserve_client.create(isvc) + kserve_client.wait_isvc_ready(service_name, namespace=KSERVE_TEST_NAMESPACE) + + is_ready = await is_model_ready(rest_v2_client, service_name, model_name) is True + assert is_ready is True + res = await predict_isvc( + rest_v2_client, + service_name, + "./data/custom_model_input_v2.json", + model_name=model_name, + ) + points = ["%.3f" % point for point in list(res.outputs[0].data)] + assert points == ["14.976", "14.037", "13.966", "12.252", "12.086"] + + with open("./data/custom_model_input_v2.json") as json_data: + data = json.load(json_data) + infer_input = InferInput( + name=data["inputs"][0]["name"], + datatype=data["inputs"][0]["datatype"], + shape=data["inputs"][0]["shape"], + ) + infer_input.set_data_from_numpy( + np.array(data["inputs"][0]["data"], dtype=np.object_) + ) + infer_request = InferRequest( + model_name=model_name, + infer_inputs=[infer_input], + parameters={"binary_data_output": True}, + ) + res = await predict_isvc( + rest_v2_client, + service_name, + infer_request, + model_name=model_name, + ) + points = ["%.3f" % point for point in list(res.outputs[0].data)] + assert points == ["14.976", "14.037", "13.966", "12.252", "12.086"] + kserve_client.delete(service_name, KSERVE_TEST_NAMESPACE) + + +@pytest.mark.transformer +@pytest.mark.asyncio(scope="session") +async def test_predictor_rest_with_transformer_rest(rest_v2_client): + service_name = "model-rest-trans-rest" + model_name = "custom-model" + + predictor = V1beta1PredictorSpec( + containers=[ + V1Container( + name="kserve-container", + image=os.environ.get("CUSTOM_MODEL_GRPC_IMG_TAG"), + command=["python", "-m", "custom_model.model"], + resources=V1ResourceRequirements( + requests={"cpu": "50m", "memory": "512Mi"}, + limits={"cpu": "100m", "memory": "2Gi"}, + ), + args=["--model_name", model_name], + env=[V1EnvVar(name="PROTOCOL", value="v2")], + ) + ] + ) + + transformer = V1beta1TransformerSpec( + containers=[ + V1Container( + name="kserve-container", + image=os.environ.get("IMAGE_TRANSFORMER_IMG_TAG"), + resources=V1ResourceRequirements( + requests={"cpu": "50m", "memory": "128Mi"}, + limits={"cpu": "100m", "memory": "1Gi"}, + ), + args=[ + "--model_name", + model_name, + "--predictor_protocol", + "v2", + "--enable_predictor_health_check", + ], ) ] ) @@ -231,6 +336,8 @@ async def test_predictor_grpc_with_transformer_http(rest_v2_client): kserve_client.create(isvc) kserve_client.wait_isvc_ready(service_name, namespace=KSERVE_TEST_NAMESPACE) + is_ready = await is_model_ready(rest_v2_client, service_name, model_name) is True + assert is_ready is True res = await predict_isvc( rest_v2_client, service_name, diff --git a/test/e2e/predictor/test_huggingface.py b/test/e2e/predictor/test_huggingface.py index 6f736db7955..545efbd7af9 100644 --- a/test/e2e/predictor/test_huggingface.py +++ b/test/e2e/predictor/test_huggingface.py @@ -13,6 +13,7 @@ # limitations under the License. import os +import ast import pytest from kubernetes import client @@ -28,7 +29,10 @@ ) from kserve.constants import constants from ..common.utils import KSERVE_TEST_NAMESPACE, generate, predict_isvc -from .test_output import huggingface_text_embedding_expected_output +from .test_output import ( + huggingface_text_embedding_expected_output, + huggingface_sequence_classification_with_probabilities_expected_output, +) @pytest.mark.llm @@ -339,3 +343,65 @@ async def test_huggingface_v2_text_embedding(rest_v2_client): assert res.outputs[0].data == huggingface_text_embedding_expected_output kserve_client.delete(service_name, KSERVE_TEST_NAMESPACE) + + +@pytest.mark.llm +@pytest.mark.asyncio(scope="session") +async def test_huggingface_v2_sequence_classification_with_probabilities( + rest_v2_client, +): + service_name = "hf-bert-sequence-v2" + protocol_version = "v2" + predictor = V1beta1PredictorSpec( + min_replicas=1, + model=V1beta1ModelSpec( + model_format=V1beta1ModelFormat( + name="huggingface", + ), + protocol_version=protocol_version, + args=[ + "--model_id", + "textattack/bert-base-uncased-yelp-polarity", + "--model_revision", + "a4d0a85ea6c1d5bb944dcc12ea5c918863e469a4", + "--tokenizer_revision", + "a4d0a85ea6c1d5bb944dcc12ea5c918863e469a4", + "--backend", + "huggingface", + "--return_probabilities", + ], + resources=V1ResourceRequirements( + requests={"cpu": "1", "memory": "2Gi"}, + limits={"cpu": "1", "memory": "4Gi"}, + ), + ), + ) + + isvc = V1beta1InferenceService( + api_version=constants.KSERVE_V1BETA1, + kind=constants.KSERVE_KIND, + metadata=client.V1ObjectMeta( + name=service_name, namespace=KSERVE_TEST_NAMESPACE + ), + spec=V1beta1InferenceServiceSpec(predictor=predictor), + ) + + kserve_client = KServeClient( + config_file=os.environ.get("KUBECONFIG", "~/.kube/config") + ) + kserve_client.create(isvc) + kserve_client.wait_isvc_ready(service_name, namespace=KSERVE_TEST_NAMESPACE) + + res = await predict_isvc( + rest_v2_client, + service_name, + "./data/bert_sequence_classification_v2.json", + ) + + parsed_output = [ast.literal_eval(res.outputs[0].data[0])] + assert ( + parsed_output + == huggingface_sequence_classification_with_probabilities_expected_output + ) + + kserve_client.delete(service_name, KSERVE_TEST_NAMESPACE) diff --git a/test/e2e/predictor/test_output.py b/test/e2e/predictor/test_output.py index 1f24da15548..21b719ee57c 100644 --- a/test/e2e/predictor/test_output.py +++ b/test/e2e/predictor/test_output.py @@ -400,3 +400,10 @@ approx(0.049627237021923065, abs=1e-6), approx(-0.029213037341833115, abs=1e-6), ] + +huggingface_sequence_classification_with_probabilities_expected_output = [ + { + 0: approx(-2.152204, abs=0.000009), + 1: approx(2.5094059, abs=0.000009), + } +] diff --git a/test/e2e/predictor/test_xgboost.py b/test/e2e/predictor/test_xgboost.py index 0214eeea7ab..ed059fc39c7 100644 --- a/test/e2e/predictor/test_xgboost.py +++ b/test/e2e/predictor/test_xgboost.py @@ -123,7 +123,7 @@ async def test_xgboost_v2_mlserver(rest_v2_client): @pytest.mark.path_based_routing @pytest.mark.asyncio(scope="session") async def test_xgboost_single_model_file(rest_v2_client): - service_name = "isvc-xgboost-v2-mlserver" + service_name = "xgboost-v2-mlserver" protocol_version = "v2" predictor = V1beta1PredictorSpec( diff --git a/test/e2e/transformer/test_collocation.py b/test/e2e/transformer/test_collocation.py index 6db667ea2bf..83f11c8a9b2 100644 --- a/test/e2e/transformer/test_collocation.py +++ b/test/e2e/transformer/test_collocation.py @@ -26,7 +26,7 @@ from kubernetes.client import V1EnvVar from kubernetes.client import V1ContainerPort import pytest -from ..common.utils import predict_isvc +from ..common.utils import is_model_ready, predict_isvc from ..common.utils import ( KSERVE_TEST_NAMESPACE, INFERENCESERVICE_CONTAINER, @@ -72,12 +72,18 @@ async def test_transformer_collocation(rest_v1_client): "--http_port=8080", "--grpc_port=8081", "--predictor_host=localhost:8085", + "--enable_predictor_health_check", ], ports=[V1ContainerPort(container_port=8080, protocol="TCP")], resources=V1ResourceRequirements( requests={"cpu": "10m", "memory": "128Mi"}, limits={"cpu": "100m", "memory": "1Gi"}, ), + readiness_probe=client.V1Probe( + http_get=client.V1HTTPGetAction( + path=f"/v1/models/{model_name}", port=8080 + ) + ), ), ], ) @@ -114,6 +120,8 @@ async def test_transformer_collocation(rest_v1_client): for pod in pods.items: print(pod) raise e + is_ready = await is_model_ready(rest_v1_client, service_name, model_name) is True + assert is_ready is True res = await predict_isvc( rest_v1_client, service_name, "./data/transformer.json", model_name=model_name ) @@ -161,6 +169,7 @@ async def test_raw_transformer_collocation(rest_v1_client): "--http_port=8080", "--grpc_port=8081", "--predictor_host=localhost:8085", + "--enable_predictor_health_check", ], ports=[ V1ContainerPort(name="http", container_port=8080, protocol="TCP"), @@ -208,6 +217,8 @@ async def test_raw_transformer_collocation(rest_v1_client): for pod in pods.items: print(pod) raise e + is_ready = await is_model_ready(rest_v1_client, service_name, model_name) is True + assert is_ready is True res = await predict_isvc( rest_v1_client, service_name, "./data/transformer.json", model_name=model_name ) diff --git a/test/scripts/gh-actions/setup-kserve.sh b/test/scripts/gh-actions/setup-kserve.sh index cbb1e51d2ad..16a3f18db20 100755 --- a/test/scripts/gh-actions/setup-kserve.sh +++ b/test/scripts/gh-actions/setup-kserve.sh @@ -24,6 +24,7 @@ set -o pipefail DEPLOYMENT_MODE="${1:-'serverless'}" make deploy-ci + shopt -s nocasematch if [[ $DEPLOYMENT_MODE == "raw" ]];then echo "Patching default deployment mode to raw deployment" diff --git a/test/scripts/gh-actions/status-check.sh b/test/scripts/gh-actions/status-check.sh index bdd28387b73..e7f7116d54c 100755 --- a/test/scripts/gh-actions/status-check.sh +++ b/test/scripts/gh-actions/status-check.sh @@ -1,5 +1,9 @@ #!/bin/bash +# For debugging purpose: The KServe webhook is failing randomly in the GH Actions environment. This is to check if the webhook cert is ready at +# the time of failure. Once the issue is resolved, the following line can be removed. +kubectl describe cert -n kserve serving-cert + sleep 10 echo "::group::Free Space" df -hT