✨feat(hos_client_create, hos_client_destory): 多次调用destory不会导致重复释放

support/aws-sdk-cpp-master/aws-cpp-sdk-sagemaker/include/aws/sagemaker/model/CreateModelRequest.h

@@ -0,0 +1,451 @@
+/**
+ * Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+ * SPDX-License-Identifier: Apache-2.0.
+ */
+
+#pragma once
+#include <aws/sagemaker/SageMaker_EXPORTS.h>
+#include <aws/sagemaker/SageMakerRequest.h>
+#include <aws/core/utils/memory/stl/AWSString.h>
+#include <aws/sagemaker/model/ContainerDefinition.h>
+#include <aws/core/utils/memory/stl/AWSVector.h>
+#include <aws/sagemaker/model/VpcConfig.h>
+#include <aws/sagemaker/model/Tag.h>
+#include <utility>
+
+namespace Aws
+{
+namespace SageMaker
+{
+namespace Model
+{
+
+  /**
+   */
+  class AWS_SAGEMAKER_API CreateModelRequest : public SageMakerRequest
+  {
+  public:
+    CreateModelRequest();
+
+    // Service request name is the Operation name which will send this request out,
+    // each operation should has unique request name, so that we can get operation's name from this request.
+    // Note: this is not true for response, multiple operations may have the same response name,
+    // so we can not get operation's name from response.
+    inline virtual const char* GetServiceRequestName() const override { return "CreateModel"; }
+
+    Aws::String SerializePayload() const override;
+
+    Aws::Http::HeaderValueCollection GetRequestSpecificHeaders() const override;
+
+
+    /**
+     * <p>The name of the new model.</p>
+     */
+    inline const Aws::String& GetModelName() const{ return m_modelName; }
+
+    /**
+     * <p>The name of the new model.</p>
+     */
+    inline bool ModelNameHasBeenSet() const { return m_modelNameHasBeenSet; }
+
+    /**
+     * <p>The name of the new model.</p>
+     */
+    inline void SetModelName(const Aws::String& value) { m_modelNameHasBeenSet = true; m_modelName = value; }
+
+    /**
+     * <p>The name of the new model.</p>
+     */
+    inline void SetModelName(Aws::String&& value) { m_modelNameHasBeenSet = true; m_modelName = std::move(value); }
+
+    /**
+     * <p>The name of the new model.</p>
+     */
+    inline void SetModelName(const char* value) { m_modelNameHasBeenSet = true; m_modelName.assign(value); }
+
+    /**
+     * <p>The name of the new model.</p>
+     */
+    inline CreateModelRequest& WithModelName(const Aws::String& value) { SetModelName(value); return *this;}
+
+    /**
+     * <p>The name of the new model.</p>
+     */
+    inline CreateModelRequest& WithModelName(Aws::String&& value) { SetModelName(std::move(value)); return *this;}
+
+    /**
+     * <p>The name of the new model.</p>
+     */
+    inline CreateModelRequest& WithModelName(const char* value) { SetModelName(value); return *this;}
+
+
+    /**
+     * <p>The location of the primary docker image containing inference code,
+     * associated artifacts, and custom environment map that the inference code uses
+     * when the model is deployed for predictions. </p>
+     */
+    inline const ContainerDefinition& GetPrimaryContainer() const{ return m_primaryContainer; }
+
+    /**
+     * <p>The location of the primary docker image containing inference code,
+     * associated artifacts, and custom environment map that the inference code uses
+     * when the model is deployed for predictions. </p>
+     */
+    inline bool PrimaryContainerHasBeenSet() const { return m_primaryContainerHasBeenSet; }
+
+    /**
+     * <p>The location of the primary docker image containing inference code,
+     * associated artifacts, and custom environment map that the inference code uses
+     * when the model is deployed for predictions. </p>
+     */
+    inline void SetPrimaryContainer(const ContainerDefinition& value) { m_primaryContainerHasBeenSet = true; m_primaryContainer = value; }
+
+    /**
+     * <p>The location of the primary docker image containing inference code,
+     * associated artifacts, and custom environment map that the inference code uses
+     * when the model is deployed for predictions. </p>
+     */
+    inline void SetPrimaryContainer(ContainerDefinition&& value) { m_primaryContainerHasBeenSet = true; m_primaryContainer = std::move(value); }
+
+    /**
+     * <p>The location of the primary docker image containing inference code,
+     * associated artifacts, and custom environment map that the inference code uses
+     * when the model is deployed for predictions. </p>
+     */
+    inline CreateModelRequest& WithPrimaryContainer(const ContainerDefinition& value) { SetPrimaryContainer(value); return *this;}
+
+    /**
+     * <p>The location of the primary docker image containing inference code,
+     * associated artifacts, and custom environment map that the inference code uses
+     * when the model is deployed for predictions. </p>
+     */
+    inline CreateModelRequest& WithPrimaryContainer(ContainerDefinition&& value) { SetPrimaryContainer(std::move(value)); return *this;}
+
+
+    /**
+     * <p>Specifies the containers in the inference pipeline.</p>
+     */
+    inline const Aws::Vector<ContainerDefinition>& GetContainers() const{ return m_containers; }
+
+    /**
+     * <p>Specifies the containers in the inference pipeline.</p>
+     */
+    inline bool ContainersHasBeenSet() const { return m_containersHasBeenSet; }
+
+    /**
+     * <p>Specifies the containers in the inference pipeline.</p>
+     */
+    inline void SetContainers(const Aws::Vector<ContainerDefinition>& value) { m_containersHasBeenSet = true; m_containers = value; }
+
+    /**
+     * <p>Specifies the containers in the inference pipeline.</p>
+     */
+    inline void SetContainers(Aws::Vector<ContainerDefinition>&& value) { m_containersHasBeenSet = true; m_containers = std::move(value); }
+
+    /**
+     * <p>Specifies the containers in the inference pipeline.</p>
+     */
+    inline CreateModelRequest& WithContainers(const Aws::Vector<ContainerDefinition>& value) { SetContainers(value); return *this;}
+
+    /**
+     * <p>Specifies the containers in the inference pipeline.</p>
+     */
+    inline CreateModelRequest& WithContainers(Aws::Vector<ContainerDefinition>&& value) { SetContainers(std::move(value)); return *this;}
+
+    /**
+     * <p>Specifies the containers in the inference pipeline.</p>
+     */
+    inline CreateModelRequest& AddContainers(const ContainerDefinition& value) { m_containersHasBeenSet = true; m_containers.push_back(value); return *this; }
+
+    /**
+     * <p>Specifies the containers in the inference pipeline.</p>
+     */
+    inline CreateModelRequest& AddContainers(ContainerDefinition&& value) { m_containersHasBeenSet = true; m_containers.push_back(std::move(value)); return *this; }
+
+
+    /**
+     * <p>The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can
+     * assume to access model artifacts and docker image for deployment on ML compute
+     * instances or for batch transform jobs. Deploying on ML compute instances is part
+     * of model hosting. For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">Amazon
+     * SageMaker Roles</a>. </p>  <p>To be able to pass this role to Amazon
+     * SageMaker, the caller of this API must have the <code>iam:PassRole</code>
+     * permission.</p> 
+     */
+    inline const Aws::String& GetExecutionRoleArn() const{ return m_executionRoleArn; }
+
+    /**
+     * <p>The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can
+     * assume to access model artifacts and docker image for deployment on ML compute
+     * instances or for batch transform jobs. Deploying on ML compute instances is part
+     * of model hosting. For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">Amazon
+     * SageMaker Roles</a>. </p>  <p>To be able to pass this role to Amazon
+     * SageMaker, the caller of this API must have the <code>iam:PassRole</code>
+     * permission.</p> 
+     */
+    inline bool ExecutionRoleArnHasBeenSet() const { return m_executionRoleArnHasBeenSet; }
+
+    /**
+     * <p>The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can
+     * assume to access model artifacts and docker image for deployment on ML compute
+     * instances or for batch transform jobs. Deploying on ML compute instances is part
+     * of model hosting. For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">Amazon
+     * SageMaker Roles</a>. </p>  <p>To be able to pass this role to Amazon
+     * SageMaker, the caller of this API must have the <code>iam:PassRole</code>
+     * permission.</p> 
+     */
+    inline void SetExecutionRoleArn(const Aws::String& value) { m_executionRoleArnHasBeenSet = true; m_executionRoleArn = value; }
+
+    /**
+     * <p>The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can
+     * assume to access model artifacts and docker image for deployment on ML compute
+     * instances or for batch transform jobs. Deploying on ML compute instances is part
+     * of model hosting. For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">Amazon
+     * SageMaker Roles</a>. </p>  <p>To be able to pass this role to Amazon
+     * SageMaker, the caller of this API must have the <code>iam:PassRole</code>
+     * permission.</p> 
+     */
+    inline void SetExecutionRoleArn(Aws::String&& value) { m_executionRoleArnHasBeenSet = true; m_executionRoleArn = std::move(value); }
+
+    /**
+     * <p>The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can
+     * assume to access model artifacts and docker image for deployment on ML compute
+     * instances or for batch transform jobs. Deploying on ML compute instances is part
+     * of model hosting. For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">Amazon
+     * SageMaker Roles</a>. </p>  <p>To be able to pass this role to Amazon
+     * SageMaker, the caller of this API must have the <code>iam:PassRole</code>
+     * permission.</p> 
+     */
+    inline void SetExecutionRoleArn(const char* value) { m_executionRoleArnHasBeenSet = true; m_executionRoleArn.assign(value); }
+
+    /**
+     * <p>The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can
+     * assume to access model artifacts and docker image for deployment on ML compute
+     * instances or for batch transform jobs. Deploying on ML compute instances is part
+     * of model hosting. For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">Amazon
+     * SageMaker Roles</a>. </p>  <p>To be able to pass this role to Amazon
+     * SageMaker, the caller of this API must have the <code>iam:PassRole</code>
+     * permission.</p> 
+     */
+    inline CreateModelRequest& WithExecutionRoleArn(const Aws::String& value) { SetExecutionRoleArn(value); return *this;}
+
+    /**
+     * <p>The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can
+     * assume to access model artifacts and docker image for deployment on ML compute
+     * instances or for batch transform jobs. Deploying on ML compute instances is part
+     * of model hosting. For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">Amazon
+     * SageMaker Roles</a>. </p>  <p>To be able to pass this role to Amazon
+     * SageMaker, the caller of this API must have the <code>iam:PassRole</code>
+     * permission.</p> 
+     */
+    inline CreateModelRequest& WithExecutionRoleArn(Aws::String&& value) { SetExecutionRoleArn(std::move(value)); return *this;}
+
+    /**
+     * <p>The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can
+     * assume to access model artifacts and docker image for deployment on ML compute
+     * instances or for batch transform jobs. Deploying on ML compute instances is part
+     * of model hosting. For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html">Amazon
+     * SageMaker Roles</a>. </p>  <p>To be able to pass this role to Amazon
+     * SageMaker, the caller of this API must have the <code>iam:PassRole</code>
+     * permission.</p> 
+     */
+    inline CreateModelRequest& WithExecutionRoleArn(const char* value) { SetExecutionRoleArn(value); return *this;}
+
+
+    /**
+     * <p>An array of key-value pairs. For more information, see <a
+     * href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using
+     * Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User
+     * Guide</i>. </p>
+     */
+    inline const Aws::Vector<Tag>& GetTags() const{ return m_tags; }
+
+    /**
+     * <p>An array of key-value pairs. For more information, see <a
+     * href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using
+     * Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User
+     * Guide</i>. </p>
+     */
+    inline bool TagsHasBeenSet() const { return m_tagsHasBeenSet; }
+
+    /**
+     * <p>An array of key-value pairs. For more information, see <a
+     * href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using
+     * Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User
+     * Guide</i>. </p>
+     */
+    inline void SetTags(const Aws::Vector<Tag>& value) { m_tagsHasBeenSet = true; m_tags = value; }
+
+    /**
+     * <p>An array of key-value pairs. For more information, see <a
+     * href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using
+     * Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User
+     * Guide</i>. </p>
+     */
+    inline void SetTags(Aws::Vector<Tag>&& value) { m_tagsHasBeenSet = true; m_tags = std::move(value); }
+
+    /**
+     * <p>An array of key-value pairs. For more information, see <a
+     * href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using
+     * Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User
+     * Guide</i>. </p>
+     */
+    inline CreateModelRequest& WithTags(const Aws::Vector<Tag>& value) { SetTags(value); return *this;}
+
+    /**
+     * <p>An array of key-value pairs. For more information, see <a
+     * href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using
+     * Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User
+     * Guide</i>. </p>
+     */
+    inline CreateModelRequest& WithTags(Aws::Vector<Tag>&& value) { SetTags(std::move(value)); return *this;}
+
+    /**
+     * <p>An array of key-value pairs. For more information, see <a
+     * href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using
+     * Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User
+     * Guide</i>. </p>
+     */
+    inline CreateModelRequest& AddTags(const Tag& value) { m_tagsHasBeenSet = true; m_tags.push_back(value); return *this; }
+
+    /**
+     * <p>An array of key-value pairs. For more information, see <a
+     * href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-what">Using
+     * Cost Allocation Tags</a> in the <i>AWS Billing and Cost Management User
+     * Guide</i>. </p>
+     */
+    inline CreateModelRequest& AddTags(Tag&& value) { m_tagsHasBeenSet = true; m_tags.push_back(std::move(value)); return *this; }
+
+
+    /**
+     * <p>A <a>VpcConfig</a> object that specifies the VPC that you want your model to
+     * connect to. Control access to and from your model container by configuring the
+     * VPC. <code>VpcConfig</code> is used in hosting services and in batch transform.
+     * For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html">Protect
+     * Endpoints by Using an Amazon Virtual Private Cloud</a> and <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html">Protect
+     * Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud</a>.</p>
+     */
+    inline const VpcConfig& GetVpcConfig() const{ return m_vpcConfig; }
+
+    /**
+     * <p>A <a>VpcConfig</a> object that specifies the VPC that you want your model to
+     * connect to. Control access to and from your model container by configuring the
+     * VPC. <code>VpcConfig</code> is used in hosting services and in batch transform.
+     * For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html">Protect
+     * Endpoints by Using an Amazon Virtual Private Cloud</a> and <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html">Protect
+     * Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud</a>.</p>
+     */
+    inline bool VpcConfigHasBeenSet() const { return m_vpcConfigHasBeenSet; }
+
+    /**
+     * <p>A <a>VpcConfig</a> object that specifies the VPC that you want your model to
+     * connect to. Control access to and from your model container by configuring the
+     * VPC. <code>VpcConfig</code> is used in hosting services and in batch transform.
+     * For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html">Protect
+     * Endpoints by Using an Amazon Virtual Private Cloud</a> and <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html">Protect
+     * Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud</a>.</p>
+     */
+    inline void SetVpcConfig(const VpcConfig& value) { m_vpcConfigHasBeenSet = true; m_vpcConfig = value; }
+
+    /**
+     * <p>A <a>VpcConfig</a> object that specifies the VPC that you want your model to
+     * connect to. Control access to and from your model container by configuring the
+     * VPC. <code>VpcConfig</code> is used in hosting services and in batch transform.
+     * For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html">Protect
+     * Endpoints by Using an Amazon Virtual Private Cloud</a> and <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html">Protect
+     * Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud</a>.</p>
+     */
+    inline void SetVpcConfig(VpcConfig&& value) { m_vpcConfigHasBeenSet = true; m_vpcConfig = std::move(value); }
+
+    /**
+     * <p>A <a>VpcConfig</a> object that specifies the VPC that you want your model to
+     * connect to. Control access to and from your model container by configuring the
+     * VPC. <code>VpcConfig</code> is used in hosting services and in batch transform.
+     * For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html">Protect
+     * Endpoints by Using an Amazon Virtual Private Cloud</a> and <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html">Protect
+     * Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud</a>.</p>
+     */
+    inline CreateModelRequest& WithVpcConfig(const VpcConfig& value) { SetVpcConfig(value); return *this;}
+
+    /**
+     * <p>A <a>VpcConfig</a> object that specifies the VPC that you want your model to
+     * connect to. Control access to and from your model container by configuring the
+     * VPC. <code>VpcConfig</code> is used in hosting services and in batch transform.
+     * For more information, see <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html">Protect
+     * Endpoints by Using an Amazon Virtual Private Cloud</a> and <a
+     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html">Protect
+     * Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud</a>.</p>
+     */
+    inline CreateModelRequest& WithVpcConfig(VpcConfig&& value) { SetVpcConfig(std::move(value)); return *this;}
+
+
+    /**
+     * <p>Isolates the model container. No inbound or outbound network calls can be
+     * made to or from the model container.</p>
+     */
+    inline bool GetEnableNetworkIsolation() const{ return m_enableNetworkIsolation; }
+
+    /**
+     * <p>Isolates the model container. No inbound or outbound network calls can be
+     * made to or from the model container.</p>
+     */
+    inline bool EnableNetworkIsolationHasBeenSet() const { return m_enableNetworkIsolationHasBeenSet; }
+
+    /**
+     * <p>Isolates the model container. No inbound or outbound network calls can be
+     * made to or from the model container.</p>
+     */
+    inline void SetEnableNetworkIsolation(bool value) { m_enableNetworkIsolationHasBeenSet = true; m_enableNetworkIsolation = value; }
+
+    /**
+     * <p>Isolates the model container. No inbound or outbound network calls can be
+     * made to or from the model container.</p>
+     */
+    inline CreateModelRequest& WithEnableNetworkIsolation(bool value) { SetEnableNetworkIsolation(value); return *this;}
+
+  private:
+
+    Aws::String m_modelName;
+    bool m_modelNameHasBeenSet;
+
+    ContainerDefinition m_primaryContainer;
+    bool m_primaryContainerHasBeenSet;
+
+    Aws::Vector<ContainerDefinition> m_containers;
+    bool m_containersHasBeenSet;
+
+    Aws::String m_executionRoleArn;
+    bool m_executionRoleArnHasBeenSet;
+
+    Aws::Vector<Tag> m_tags;
+    bool m_tagsHasBeenSet;
+
+    VpcConfig m_vpcConfig;
+    bool m_vpcConfigHasBeenSet;
+
+    bool m_enableNetworkIsolation;
+    bool m_enableNetworkIsolationHasBeenSet;
+  };
+
+} // namespace Model
+} // namespace SageMaker
+} // namespace Aws