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machinelearningcompute.go
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machinelearningcompute.go
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package machinelearningservices
// Copyright (c) Microsoft and contributors. All rights reserved.
//
// 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.
//
// Code generated by Microsoft (R) AutoRest Code Generator.
// Changes may cause incorrect behavior and will be lost if the code is regenerated.
import (
"context"
"github.com/Azure/go-autorest/autorest"
"github.com/Azure/go-autorest/autorest/azure"
"github.com/Azure/go-autorest/tracing"
"net/http"
)
// MachineLearningComputeClient is the these APIs allow end users to operate on Azure Machine Learning Workspace
// resources.
type MachineLearningComputeClient struct {
BaseClient
}
// NewMachineLearningComputeClient creates an instance of the MachineLearningComputeClient client.
func NewMachineLearningComputeClient(subscriptionID string) MachineLearningComputeClient {
return NewMachineLearningComputeClientWithBaseURI(DefaultBaseURI, subscriptionID)
}
// NewMachineLearningComputeClientWithBaseURI creates an instance of the MachineLearningComputeClient client.
func NewMachineLearningComputeClientWithBaseURI(baseURI string, subscriptionID string) MachineLearningComputeClient {
return MachineLearningComputeClient{NewWithBaseURI(baseURI, subscriptionID)}
}
// CreateOrUpdate creates or updates compute. This call will overwrite a compute if it exists. This is a nonrecoverable
// operation. If your intent is to create a new compute, do a GET first to verify that it does not exist yet.
// Parameters:
// resourceGroupName - name of the resource group in which workspace is located.
// workspaceName - name of Azure Machine Learning workspace.
// computeName - name of the Azure Machine Learning compute.
// parameters - payload with Machine Learning compute definition.
func (client MachineLearningComputeClient) CreateOrUpdate(ctx context.Context, resourceGroupName string, workspaceName string, computeName string, parameters ComputeResource) (result MachineLearningComputeCreateOrUpdateFuture, err error) {
if tracing.IsEnabled() {
ctx = tracing.StartSpan(ctx, fqdn+"/MachineLearningComputeClient.CreateOrUpdate")
defer func() {
sc := -1
if result.Response() != nil {
sc = result.Response().StatusCode
}
tracing.EndSpan(ctx, sc, err)
}()
}
req, err := client.CreateOrUpdatePreparer(ctx, resourceGroupName, workspaceName, computeName, parameters)
if err != nil {
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "CreateOrUpdate", nil, "Failure preparing request")
return
}
result, err = client.CreateOrUpdateSender(req)
if err != nil {
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "CreateOrUpdate", result.Response(), "Failure sending request")
return
}
return
}
// CreateOrUpdatePreparer prepares the CreateOrUpdate request.
func (client MachineLearningComputeClient) CreateOrUpdatePreparer(ctx context.Context, resourceGroupName string, workspaceName string, computeName string, parameters ComputeResource) (*http.Request, error) {
pathParameters := map[string]interface{}{
"computeName": autorest.Encode("path", computeName),
"resourceGroupName": autorest.Encode("path", resourceGroupName),
"subscriptionId": autorest.Encode("path", client.SubscriptionID),
"workspaceName": autorest.Encode("path", workspaceName),
}
const APIVersion = "2018-03-01-preview"
queryParameters := map[string]interface{}{
"api-version": APIVersion,
}
preparer := autorest.CreatePreparer(
autorest.AsContentType("application/json; charset=utf-8"),
autorest.AsPut(),
autorest.WithBaseURL(client.BaseURI),
autorest.WithPathParameters("/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}", pathParameters),
autorest.WithJSON(parameters),
autorest.WithQueryParameters(queryParameters))
return preparer.Prepare((&http.Request{}).WithContext(ctx))
}
// CreateOrUpdateSender sends the CreateOrUpdate request. The method will close the
// http.Response Body if it receives an error.
func (client MachineLearningComputeClient) CreateOrUpdateSender(req *http.Request) (future MachineLearningComputeCreateOrUpdateFuture, err error) {
sd := autorest.GetSendDecorators(req.Context(), azure.DoRetryWithRegistration(client.Client))
var resp *http.Response
resp, err = autorest.SendWithSender(client, req, sd...)
if err != nil {
return
}
future.Future, err = azure.NewFutureFromResponse(resp)
return
}
// CreateOrUpdateResponder handles the response to the CreateOrUpdate request. The method always
// closes the http.Response Body.
func (client MachineLearningComputeClient) CreateOrUpdateResponder(resp *http.Response) (result ComputeResource, err error) {
err = autorest.Respond(
resp,
client.ByInspecting(),
azure.WithErrorUnlessStatusCode(http.StatusOK, http.StatusCreated),
autorest.ByUnmarshallingJSON(&result),
autorest.ByClosing())
result.Response = autorest.Response{Response: resp}
return
}
// Delete deletes specified Machine Learning compute.
// Parameters:
// resourceGroupName - name of the resource group in which workspace is located.
// workspaceName - name of Azure Machine Learning workspace.
// computeName - name of the Azure Machine Learning compute.
func (client MachineLearningComputeClient) Delete(ctx context.Context, resourceGroupName string, workspaceName string, computeName string) (result MachineLearningComputeDeleteFuture, err error) {
if tracing.IsEnabled() {
ctx = tracing.StartSpan(ctx, fqdn+"/MachineLearningComputeClient.Delete")
defer func() {
sc := -1
if result.Response() != nil {
sc = result.Response().StatusCode
}
tracing.EndSpan(ctx, sc, err)
}()
}
req, err := client.DeletePreparer(ctx, resourceGroupName, workspaceName, computeName)
if err != nil {
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "Delete", nil, "Failure preparing request")
return
}
result, err = client.DeleteSender(req)
if err != nil {
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "Delete", result.Response(), "Failure sending request")
return
}
return
}
// DeletePreparer prepares the Delete request.
func (client MachineLearningComputeClient) DeletePreparer(ctx context.Context, resourceGroupName string, workspaceName string, computeName string) (*http.Request, error) {
pathParameters := map[string]interface{}{
"computeName": autorest.Encode("path", computeName),
"resourceGroupName": autorest.Encode("path", resourceGroupName),
"subscriptionId": autorest.Encode("path", client.SubscriptionID),
"workspaceName": autorest.Encode("path", workspaceName),
}
const APIVersion = "2018-03-01-preview"
queryParameters := map[string]interface{}{
"api-version": APIVersion,
}
preparer := autorest.CreatePreparer(
autorest.AsDelete(),
autorest.WithBaseURL(client.BaseURI),
autorest.WithPathParameters("/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}", pathParameters),
autorest.WithQueryParameters(queryParameters))
return preparer.Prepare((&http.Request{}).WithContext(ctx))
}
// DeleteSender sends the Delete request. The method will close the
// http.Response Body if it receives an error.
func (client MachineLearningComputeClient) DeleteSender(req *http.Request) (future MachineLearningComputeDeleteFuture, err error) {
sd := autorest.GetSendDecorators(req.Context(), azure.DoRetryWithRegistration(client.Client))
var resp *http.Response
resp, err = autorest.SendWithSender(client, req, sd...)
if err != nil {
return
}
future.Future, err = azure.NewFutureFromResponse(resp)
return
}
// DeleteResponder handles the response to the Delete request. The method always
// closes the http.Response Body.
func (client MachineLearningComputeClient) DeleteResponder(resp *http.Response) (result autorest.Response, err error) {
err = autorest.Respond(
resp,
client.ByInspecting(),
azure.WithErrorUnlessStatusCode(http.StatusOK, http.StatusAccepted),
autorest.ByClosing())
result.Response = resp
return
}
// Get gets compute definition by its name. Any secrets (storage keys, service credentials, etc) are not returned - use
// 'keys' nested resource to get them.
// Parameters:
// resourceGroupName - name of the resource group in which workspace is located.
// workspaceName - name of Azure Machine Learning workspace.
// computeName - name of the Azure Machine Learning compute.
func (client MachineLearningComputeClient) Get(ctx context.Context, resourceGroupName string, workspaceName string, computeName string) (result ComputeResource, err error) {
if tracing.IsEnabled() {
ctx = tracing.StartSpan(ctx, fqdn+"/MachineLearningComputeClient.Get")
defer func() {
sc := -1
if result.Response.Response != nil {
sc = result.Response.Response.StatusCode
}
tracing.EndSpan(ctx, sc, err)
}()
}
req, err := client.GetPreparer(ctx, resourceGroupName, workspaceName, computeName)
if err != nil {
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "Get", nil, "Failure preparing request")
return
}
resp, err := client.GetSender(req)
if err != nil {
result.Response = autorest.Response{Response: resp}
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "Get", resp, "Failure sending request")
return
}
result, err = client.GetResponder(resp)
if err != nil {
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "Get", resp, "Failure responding to request")
}
return
}
// GetPreparer prepares the Get request.
func (client MachineLearningComputeClient) GetPreparer(ctx context.Context, resourceGroupName string, workspaceName string, computeName string) (*http.Request, error) {
pathParameters := map[string]interface{}{
"computeName": autorest.Encode("path", computeName),
"resourceGroupName": autorest.Encode("path", resourceGroupName),
"subscriptionId": autorest.Encode("path", client.SubscriptionID),
"workspaceName": autorest.Encode("path", workspaceName),
}
const APIVersion = "2018-03-01-preview"
queryParameters := map[string]interface{}{
"api-version": APIVersion,
}
preparer := autorest.CreatePreparer(
autorest.AsGet(),
autorest.WithBaseURL(client.BaseURI),
autorest.WithPathParameters("/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}", pathParameters),
autorest.WithQueryParameters(queryParameters))
return preparer.Prepare((&http.Request{}).WithContext(ctx))
}
// GetSender sends the Get request. The method will close the
// http.Response Body if it receives an error.
func (client MachineLearningComputeClient) GetSender(req *http.Request) (*http.Response, error) {
sd := autorest.GetSendDecorators(req.Context(), azure.DoRetryWithRegistration(client.Client))
return autorest.SendWithSender(client, req, sd...)
}
// GetResponder handles the response to the Get request. The method always
// closes the http.Response Body.
func (client MachineLearningComputeClient) GetResponder(resp *http.Response) (result ComputeResource, err error) {
err = autorest.Respond(
resp,
client.ByInspecting(),
azure.WithErrorUnlessStatusCode(http.StatusOK),
autorest.ByUnmarshallingJSON(&result),
autorest.ByClosing())
result.Response = autorest.Response{Response: resp}
return
}
// ListByWorkspace gets computes in specified workspace.
// Parameters:
// resourceGroupName - name of the resource group in which workspace is located.
// workspaceName - name of Azure Machine Learning workspace.
// skiptoken - continuation token for pagination.
func (client MachineLearningComputeClient) ListByWorkspace(ctx context.Context, resourceGroupName string, workspaceName string, skiptoken string) (result PaginatedComputeResourcesListPage, err error) {
if tracing.IsEnabled() {
ctx = tracing.StartSpan(ctx, fqdn+"/MachineLearningComputeClient.ListByWorkspace")
defer func() {
sc := -1
if result.pcrl.Response.Response != nil {
sc = result.pcrl.Response.Response.StatusCode
}
tracing.EndSpan(ctx, sc, err)
}()
}
result.fn = client.listByWorkspaceNextResults
req, err := client.ListByWorkspacePreparer(ctx, resourceGroupName, workspaceName, skiptoken)
if err != nil {
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "ListByWorkspace", nil, "Failure preparing request")
return
}
resp, err := client.ListByWorkspaceSender(req)
if err != nil {
result.pcrl.Response = autorest.Response{Response: resp}
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "ListByWorkspace", resp, "Failure sending request")
return
}
result.pcrl, err = client.ListByWorkspaceResponder(resp)
if err != nil {
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "ListByWorkspace", resp, "Failure responding to request")
}
return
}
// ListByWorkspacePreparer prepares the ListByWorkspace request.
func (client MachineLearningComputeClient) ListByWorkspacePreparer(ctx context.Context, resourceGroupName string, workspaceName string, skiptoken string) (*http.Request, error) {
pathParameters := map[string]interface{}{
"resourceGroupName": autorest.Encode("path", resourceGroupName),
"subscriptionId": autorest.Encode("path", client.SubscriptionID),
"workspaceName": autorest.Encode("path", workspaceName),
}
const APIVersion = "2018-03-01-preview"
queryParameters := map[string]interface{}{
"api-version": APIVersion,
}
if len(skiptoken) > 0 {
queryParameters["$skiptoken"] = autorest.Encode("query", skiptoken)
}
preparer := autorest.CreatePreparer(
autorest.AsGet(),
autorest.WithBaseURL(client.BaseURI),
autorest.WithPathParameters("/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes", pathParameters),
autorest.WithQueryParameters(queryParameters))
return preparer.Prepare((&http.Request{}).WithContext(ctx))
}
// ListByWorkspaceSender sends the ListByWorkspace request. The method will close the
// http.Response Body if it receives an error.
func (client MachineLearningComputeClient) ListByWorkspaceSender(req *http.Request) (*http.Response, error) {
sd := autorest.GetSendDecorators(req.Context(), azure.DoRetryWithRegistration(client.Client))
return autorest.SendWithSender(client, req, sd...)
}
// ListByWorkspaceResponder handles the response to the ListByWorkspace request. The method always
// closes the http.Response Body.
func (client MachineLearningComputeClient) ListByWorkspaceResponder(resp *http.Response) (result PaginatedComputeResourcesList, err error) {
err = autorest.Respond(
resp,
client.ByInspecting(),
azure.WithErrorUnlessStatusCode(http.StatusOK),
autorest.ByUnmarshallingJSON(&result),
autorest.ByClosing())
result.Response = autorest.Response{Response: resp}
return
}
// listByWorkspaceNextResults retrieves the next set of results, if any.
func (client MachineLearningComputeClient) listByWorkspaceNextResults(ctx context.Context, lastResults PaginatedComputeResourcesList) (result PaginatedComputeResourcesList, err error) {
req, err := lastResults.paginatedComputeResourcesListPreparer(ctx)
if err != nil {
return result, autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "listByWorkspaceNextResults", nil, "Failure preparing next results request")
}
if req == nil {
return
}
resp, err := client.ListByWorkspaceSender(req)
if err != nil {
result.Response = autorest.Response{Response: resp}
return result, autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "listByWorkspaceNextResults", resp, "Failure sending next results request")
}
result, err = client.ListByWorkspaceResponder(resp)
if err != nil {
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "listByWorkspaceNextResults", resp, "Failure responding to next results request")
}
return
}
// ListByWorkspaceComplete enumerates all values, automatically crossing page boundaries as required.
func (client MachineLearningComputeClient) ListByWorkspaceComplete(ctx context.Context, resourceGroupName string, workspaceName string, skiptoken string) (result PaginatedComputeResourcesListIterator, err error) {
if tracing.IsEnabled() {
ctx = tracing.StartSpan(ctx, fqdn+"/MachineLearningComputeClient.ListByWorkspace")
defer func() {
sc := -1
if result.Response().Response.Response != nil {
sc = result.page.Response().Response.Response.StatusCode
}
tracing.EndSpan(ctx, sc, err)
}()
}
result.page, err = client.ListByWorkspace(ctx, resourceGroupName, workspaceName, skiptoken)
return
}
// ListKeys gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
// Parameters:
// resourceGroupName - name of the resource group in which workspace is located.
// workspaceName - name of Azure Machine Learning workspace.
// computeName - name of the Azure Machine Learning compute.
func (client MachineLearningComputeClient) ListKeys(ctx context.Context, resourceGroupName string, workspaceName string, computeName string) (result ComputeSecretsModel, err error) {
if tracing.IsEnabled() {
ctx = tracing.StartSpan(ctx, fqdn+"/MachineLearningComputeClient.ListKeys")
defer func() {
sc := -1
if result.Response.Response != nil {
sc = result.Response.Response.StatusCode
}
tracing.EndSpan(ctx, sc, err)
}()
}
req, err := client.ListKeysPreparer(ctx, resourceGroupName, workspaceName, computeName)
if err != nil {
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "ListKeys", nil, "Failure preparing request")
return
}
resp, err := client.ListKeysSender(req)
if err != nil {
result.Response = autorest.Response{Response: resp}
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "ListKeys", resp, "Failure sending request")
return
}
result, err = client.ListKeysResponder(resp)
if err != nil {
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "ListKeys", resp, "Failure responding to request")
}
return
}
// ListKeysPreparer prepares the ListKeys request.
func (client MachineLearningComputeClient) ListKeysPreparer(ctx context.Context, resourceGroupName string, workspaceName string, computeName string) (*http.Request, error) {
pathParameters := map[string]interface{}{
"computeName": autorest.Encode("path", computeName),
"resourceGroupName": autorest.Encode("path", resourceGroupName),
"subscriptionId": autorest.Encode("path", client.SubscriptionID),
"workspaceName": autorest.Encode("path", workspaceName),
}
const APIVersion = "2018-03-01-preview"
queryParameters := map[string]interface{}{
"api-version": APIVersion,
}
preparer := autorest.CreatePreparer(
autorest.AsPost(),
autorest.WithBaseURL(client.BaseURI),
autorest.WithPathParameters("/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}/listKeys", pathParameters),
autorest.WithQueryParameters(queryParameters))
return preparer.Prepare((&http.Request{}).WithContext(ctx))
}
// ListKeysSender sends the ListKeys request. The method will close the
// http.Response Body if it receives an error.
func (client MachineLearningComputeClient) ListKeysSender(req *http.Request) (*http.Response, error) {
sd := autorest.GetSendDecorators(req.Context(), azure.DoRetryWithRegistration(client.Client))
return autorest.SendWithSender(client, req, sd...)
}
// ListKeysResponder handles the response to the ListKeys request. The method always
// closes the http.Response Body.
func (client MachineLearningComputeClient) ListKeysResponder(resp *http.Response) (result ComputeSecretsModel, err error) {
err = autorest.Respond(
resp,
client.ByInspecting(),
azure.WithErrorUnlessStatusCode(http.StatusOK),
autorest.ByUnmarshallingJSON(&result),
autorest.ByClosing())
result.Response = autorest.Response{Response: resp}
return
}
// SystemUpdate system Update On Machine Learning compute.
// Parameters:
// resourceGroupName - name of the resource group in which workspace is located.
// workspaceName - name of Azure Machine Learning workspace.
// computeName - name of the Azure Machine Learning compute.
func (client MachineLearningComputeClient) SystemUpdate(ctx context.Context, resourceGroupName string, workspaceName string, computeName string) (result MachineLearningComputeSystemUpdateFuture, err error) {
if tracing.IsEnabled() {
ctx = tracing.StartSpan(ctx, fqdn+"/MachineLearningComputeClient.SystemUpdate")
defer func() {
sc := -1
if result.Response() != nil {
sc = result.Response().StatusCode
}
tracing.EndSpan(ctx, sc, err)
}()
}
req, err := client.SystemUpdatePreparer(ctx, resourceGroupName, workspaceName, computeName)
if err != nil {
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "SystemUpdate", nil, "Failure preparing request")
return
}
result, err = client.SystemUpdateSender(req)
if err != nil {
err = autorest.NewErrorWithError(err, "machinelearningservices.MachineLearningComputeClient", "SystemUpdate", result.Response(), "Failure sending request")
return
}
return
}
// SystemUpdatePreparer prepares the SystemUpdate request.
func (client MachineLearningComputeClient) SystemUpdatePreparer(ctx context.Context, resourceGroupName string, workspaceName string, computeName string) (*http.Request, error) {
pathParameters := map[string]interface{}{
"computeName": autorest.Encode("path", computeName),
"resourceGroupName": autorest.Encode("path", resourceGroupName),
"subscriptionId": autorest.Encode("path", client.SubscriptionID),
"workspaceName": autorest.Encode("path", workspaceName),
}
const APIVersion = "2018-03-01-preview"
queryParameters := map[string]interface{}{
"api-version": APIVersion,
}
preparer := autorest.CreatePreparer(
autorest.AsPost(),
autorest.WithBaseURL(client.BaseURI),
autorest.WithPathParameters("/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/computes/{computeName}", pathParameters),
autorest.WithQueryParameters(queryParameters))
return preparer.Prepare((&http.Request{}).WithContext(ctx))
}
// SystemUpdateSender sends the SystemUpdate request. The method will close the
// http.Response Body if it receives an error.
func (client MachineLearningComputeClient) SystemUpdateSender(req *http.Request) (future MachineLearningComputeSystemUpdateFuture, err error) {
sd := autorest.GetSendDecorators(req.Context(), azure.DoRetryWithRegistration(client.Client))
var resp *http.Response
resp, err = autorest.SendWithSender(client, req, sd...)
if err != nil {
return
}
future.Future, err = azure.NewFutureFromResponse(resp)
return
}
// SystemUpdateResponder handles the response to the SystemUpdate request. The method always
// closes the http.Response Body.
func (client MachineLearningComputeClient) SystemUpdateResponder(resp *http.Response) (result autorest.Response, err error) {
err = autorest.Respond(
resp,
client.ByInspecting(),
azure.WithErrorUnlessStatusCode(http.StatusOK, http.StatusAccepted),
autorest.ByClosing())
result.Response = resp
return
}