339 lines
16 KiB
C++
339 lines
16 KiB
C++
/**
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* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
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* SPDX-License-Identifier: Apache-2.0.
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*/
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#pragma once
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#include <aws/appconfig/AppConfig_EXPORTS.h>
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#include <aws/appconfig/AppConfigRequest.h>
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#include <aws/core/utils/memory/stl/AWSString.h>
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#include <aws/appconfig/model/GrowthType.h>
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#include <utility>
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namespace Aws
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{
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namespace AppConfig
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{
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namespace Model
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{
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/**
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*/
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class AWS_APPCONFIG_API UpdateDeploymentStrategyRequest : public AppConfigRequest
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{
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public:
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UpdateDeploymentStrategyRequest();
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// Service request name is the Operation name which will send this request out,
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// each operation should has unique request name, so that we can get operation's name from this request.
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// Note: this is not true for response, multiple operations may have the same response name,
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// so we can not get operation's name from response.
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inline virtual const char* GetServiceRequestName() const override { return "UpdateDeploymentStrategy"; }
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Aws::String SerializePayload() const override;
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/**
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* <p>The deployment strategy ID.</p>
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*/
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inline const Aws::String& GetDeploymentStrategyId() const{ return m_deploymentStrategyId; }
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/**
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* <p>The deployment strategy ID.</p>
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*/
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inline bool DeploymentStrategyIdHasBeenSet() const { return m_deploymentStrategyIdHasBeenSet; }
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/**
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* <p>The deployment strategy ID.</p>
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*/
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inline void SetDeploymentStrategyId(const Aws::String& value) { m_deploymentStrategyIdHasBeenSet = true; m_deploymentStrategyId = value; }
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/**
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* <p>The deployment strategy ID.</p>
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*/
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inline void SetDeploymentStrategyId(Aws::String&& value) { m_deploymentStrategyIdHasBeenSet = true; m_deploymentStrategyId = std::move(value); }
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/**
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* <p>The deployment strategy ID.</p>
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*/
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inline void SetDeploymentStrategyId(const char* value) { m_deploymentStrategyIdHasBeenSet = true; m_deploymentStrategyId.assign(value); }
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/**
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* <p>The deployment strategy ID.</p>
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*/
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inline UpdateDeploymentStrategyRequest& WithDeploymentStrategyId(const Aws::String& value) { SetDeploymentStrategyId(value); return *this;}
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/**
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* <p>The deployment strategy ID.</p>
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*/
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inline UpdateDeploymentStrategyRequest& WithDeploymentStrategyId(Aws::String&& value) { SetDeploymentStrategyId(std::move(value)); return *this;}
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/**
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* <p>The deployment strategy ID.</p>
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*/
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inline UpdateDeploymentStrategyRequest& WithDeploymentStrategyId(const char* value) { SetDeploymentStrategyId(value); return *this;}
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/**
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* <p>A description of the deployment strategy.</p>
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*/
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inline const Aws::String& GetDescription() const{ return m_description; }
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/**
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* <p>A description of the deployment strategy.</p>
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*/
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inline bool DescriptionHasBeenSet() const { return m_descriptionHasBeenSet; }
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/**
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* <p>A description of the deployment strategy.</p>
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*/
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inline void SetDescription(const Aws::String& value) { m_descriptionHasBeenSet = true; m_description = value; }
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/**
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* <p>A description of the deployment strategy.</p>
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*/
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inline void SetDescription(Aws::String&& value) { m_descriptionHasBeenSet = true; m_description = std::move(value); }
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/**
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* <p>A description of the deployment strategy.</p>
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*/
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inline void SetDescription(const char* value) { m_descriptionHasBeenSet = true; m_description.assign(value); }
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/**
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* <p>A description of the deployment strategy.</p>
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*/
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inline UpdateDeploymentStrategyRequest& WithDescription(const Aws::String& value) { SetDescription(value); return *this;}
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/**
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* <p>A description of the deployment strategy.</p>
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*/
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inline UpdateDeploymentStrategyRequest& WithDescription(Aws::String&& value) { SetDescription(std::move(value)); return *this;}
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/**
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* <p>A description of the deployment strategy.</p>
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*/
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inline UpdateDeploymentStrategyRequest& WithDescription(const char* value) { SetDescription(value); return *this;}
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/**
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* <p>Total amount of time for a deployment to last.</p>
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*/
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inline int GetDeploymentDurationInMinutes() const{ return m_deploymentDurationInMinutes; }
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/**
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* <p>Total amount of time for a deployment to last.</p>
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*/
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inline bool DeploymentDurationInMinutesHasBeenSet() const { return m_deploymentDurationInMinutesHasBeenSet; }
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/**
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* <p>Total amount of time for a deployment to last.</p>
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*/
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inline void SetDeploymentDurationInMinutes(int value) { m_deploymentDurationInMinutesHasBeenSet = true; m_deploymentDurationInMinutes = value; }
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/**
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* <p>Total amount of time for a deployment to last.</p>
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*/
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inline UpdateDeploymentStrategyRequest& WithDeploymentDurationInMinutes(int value) { SetDeploymentDurationInMinutes(value); return *this;}
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/**
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* <p>The amount of time AppConfig monitors for alarms before considering the
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* deployment to be complete and no longer eligible for automatic roll back.</p>
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*/
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inline int GetFinalBakeTimeInMinutes() const{ return m_finalBakeTimeInMinutes; }
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/**
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* <p>The amount of time AppConfig monitors for alarms before considering the
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* deployment to be complete and no longer eligible for automatic roll back.</p>
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*/
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inline bool FinalBakeTimeInMinutesHasBeenSet() const { return m_finalBakeTimeInMinutesHasBeenSet; }
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/**
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* <p>The amount of time AppConfig monitors for alarms before considering the
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* deployment to be complete and no longer eligible for automatic roll back.</p>
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*/
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inline void SetFinalBakeTimeInMinutes(int value) { m_finalBakeTimeInMinutesHasBeenSet = true; m_finalBakeTimeInMinutes = value; }
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/**
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* <p>The amount of time AppConfig monitors for alarms before considering the
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* deployment to be complete and no longer eligible for automatic roll back.</p>
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*/
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inline UpdateDeploymentStrategyRequest& WithFinalBakeTimeInMinutes(int value) { SetFinalBakeTimeInMinutes(value); return *this;}
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/**
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* <p>The percentage of targets to receive a deployed configuration during each
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* interval.</p>
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*/
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inline double GetGrowthFactor() const{ return m_growthFactor; }
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/**
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* <p>The percentage of targets to receive a deployed configuration during each
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* interval.</p>
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*/
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inline bool GrowthFactorHasBeenSet() const { return m_growthFactorHasBeenSet; }
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/**
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* <p>The percentage of targets to receive a deployed configuration during each
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* interval.</p>
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*/
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inline void SetGrowthFactor(double value) { m_growthFactorHasBeenSet = true; m_growthFactor = value; }
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/**
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* <p>The percentage of targets to receive a deployed configuration during each
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* interval.</p>
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*/
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inline UpdateDeploymentStrategyRequest& WithGrowthFactor(double value) { SetGrowthFactor(value); return *this;}
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/**
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* <p>The algorithm used to define how percentage grows over time. AWS AppConfig
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* supports the following growth types:</p> <p> <b>Linear</b>: For this type,
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* AppConfig processes the deployment by increments of the growth factor evenly
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* distributed over the deployment time. For example, a linear deployment that uses
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* a growth factor of 20 initially makes the configuration available to 20 percent
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* of the targets. After 1/5th of the deployment time has passed, the system
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* updates the percentage to 40 percent. This continues until 100% of the targets
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* are set to receive the deployed configuration.</p> <p> <b>Exponential</b>: For
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* this type, AppConfig processes the deployment exponentially using the following
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* formula: <code>G*(2^N)</code>. In this formula, <code>G</code> is the growth
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* factor specified by the user and <code>N</code> is the number of steps until the
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* configuration is deployed to all targets. For example, if you specify a growth
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* factor of 2, then the system rolls out the configuration as follows:</p> <p>
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* <code>2*(2^0)</code> </p> <p> <code>2*(2^1)</code> </p> <p> <code>2*(2^2)</code>
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* </p> <p>Expressed numerically, the deployment rolls out as follows: 2% of the
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* targets, 4% of the targets, 8% of the targets, and continues until the
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* configuration has been deployed to all targets.</p>
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*/
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inline const GrowthType& GetGrowthType() const{ return m_growthType; }
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/**
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* <p>The algorithm used to define how percentage grows over time. AWS AppConfig
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* supports the following growth types:</p> <p> <b>Linear</b>: For this type,
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* AppConfig processes the deployment by increments of the growth factor evenly
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* distributed over the deployment time. For example, a linear deployment that uses
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* a growth factor of 20 initially makes the configuration available to 20 percent
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* of the targets. After 1/5th of the deployment time has passed, the system
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* updates the percentage to 40 percent. This continues until 100% of the targets
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* are set to receive the deployed configuration.</p> <p> <b>Exponential</b>: For
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* this type, AppConfig processes the deployment exponentially using the following
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* formula: <code>G*(2^N)</code>. In this formula, <code>G</code> is the growth
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* factor specified by the user and <code>N</code> is the number of steps until the
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* configuration is deployed to all targets. For example, if you specify a growth
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* factor of 2, then the system rolls out the configuration as follows:</p> <p>
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* <code>2*(2^0)</code> </p> <p> <code>2*(2^1)</code> </p> <p> <code>2*(2^2)</code>
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* </p> <p>Expressed numerically, the deployment rolls out as follows: 2% of the
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* targets, 4% of the targets, 8% of the targets, and continues until the
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* configuration has been deployed to all targets.</p>
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*/
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inline bool GrowthTypeHasBeenSet() const { return m_growthTypeHasBeenSet; }
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/**
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* <p>The algorithm used to define how percentage grows over time. AWS AppConfig
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* supports the following growth types:</p> <p> <b>Linear</b>: For this type,
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* AppConfig processes the deployment by increments of the growth factor evenly
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* distributed over the deployment time. For example, a linear deployment that uses
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* a growth factor of 20 initially makes the configuration available to 20 percent
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* of the targets. After 1/5th of the deployment time has passed, the system
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* updates the percentage to 40 percent. This continues until 100% of the targets
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* are set to receive the deployed configuration.</p> <p> <b>Exponential</b>: For
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* this type, AppConfig processes the deployment exponentially using the following
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* formula: <code>G*(2^N)</code>. In this formula, <code>G</code> is the growth
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* factor specified by the user and <code>N</code> is the number of steps until the
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* configuration is deployed to all targets. For example, if you specify a growth
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* factor of 2, then the system rolls out the configuration as follows:</p> <p>
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* <code>2*(2^0)</code> </p> <p> <code>2*(2^1)</code> </p> <p> <code>2*(2^2)</code>
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* </p> <p>Expressed numerically, the deployment rolls out as follows: 2% of the
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* targets, 4% of the targets, 8% of the targets, and continues until the
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* configuration has been deployed to all targets.</p>
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*/
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inline void SetGrowthType(const GrowthType& value) { m_growthTypeHasBeenSet = true; m_growthType = value; }
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/**
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* <p>The algorithm used to define how percentage grows over time. AWS AppConfig
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* supports the following growth types:</p> <p> <b>Linear</b>: For this type,
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* AppConfig processes the deployment by increments of the growth factor evenly
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* distributed over the deployment time. For example, a linear deployment that uses
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* a growth factor of 20 initially makes the configuration available to 20 percent
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* of the targets. After 1/5th of the deployment time has passed, the system
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* updates the percentage to 40 percent. This continues until 100% of the targets
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* are set to receive the deployed configuration.</p> <p> <b>Exponential</b>: For
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* this type, AppConfig processes the deployment exponentially using the following
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* formula: <code>G*(2^N)</code>. In this formula, <code>G</code> is the growth
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* factor specified by the user and <code>N</code> is the number of steps until the
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* configuration is deployed to all targets. For example, if you specify a growth
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* factor of 2, then the system rolls out the configuration as follows:</p> <p>
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* <code>2*(2^0)</code> </p> <p> <code>2*(2^1)</code> </p> <p> <code>2*(2^2)</code>
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* </p> <p>Expressed numerically, the deployment rolls out as follows: 2% of the
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* targets, 4% of the targets, 8% of the targets, and continues until the
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* configuration has been deployed to all targets.</p>
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*/
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inline void SetGrowthType(GrowthType&& value) { m_growthTypeHasBeenSet = true; m_growthType = std::move(value); }
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/**
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* <p>The algorithm used to define how percentage grows over time. AWS AppConfig
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* supports the following growth types:</p> <p> <b>Linear</b>: For this type,
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* AppConfig processes the deployment by increments of the growth factor evenly
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* distributed over the deployment time. For example, a linear deployment that uses
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* a growth factor of 20 initially makes the configuration available to 20 percent
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* of the targets. After 1/5th of the deployment time has passed, the system
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* updates the percentage to 40 percent. This continues until 100% of the targets
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* are set to receive the deployed configuration.</p> <p> <b>Exponential</b>: For
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* this type, AppConfig processes the deployment exponentially using the following
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* formula: <code>G*(2^N)</code>. In this formula, <code>G</code> is the growth
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* factor specified by the user and <code>N</code> is the number of steps until the
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* configuration is deployed to all targets. For example, if you specify a growth
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* factor of 2, then the system rolls out the configuration as follows:</p> <p>
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* <code>2*(2^0)</code> </p> <p> <code>2*(2^1)</code> </p> <p> <code>2*(2^2)</code>
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* </p> <p>Expressed numerically, the deployment rolls out as follows: 2% of the
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* targets, 4% of the targets, 8% of the targets, and continues until the
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* configuration has been deployed to all targets.</p>
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*/
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inline UpdateDeploymentStrategyRequest& WithGrowthType(const GrowthType& value) { SetGrowthType(value); return *this;}
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/**
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* <p>The algorithm used to define how percentage grows over time. AWS AppConfig
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* supports the following growth types:</p> <p> <b>Linear</b>: For this type,
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* AppConfig processes the deployment by increments of the growth factor evenly
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* distributed over the deployment time. For example, a linear deployment that uses
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* a growth factor of 20 initially makes the configuration available to 20 percent
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* of the targets. After 1/5th of the deployment time has passed, the system
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* updates the percentage to 40 percent. This continues until 100% of the targets
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* are set to receive the deployed configuration.</p> <p> <b>Exponential</b>: For
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* this type, AppConfig processes the deployment exponentially using the following
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* formula: <code>G*(2^N)</code>. In this formula, <code>G</code> is the growth
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* factor specified by the user and <code>N</code> is the number of steps until the
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* configuration is deployed to all targets. For example, if you specify a growth
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* factor of 2, then the system rolls out the configuration as follows:</p> <p>
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* <code>2*(2^0)</code> </p> <p> <code>2*(2^1)</code> </p> <p> <code>2*(2^2)</code>
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* </p> <p>Expressed numerically, the deployment rolls out as follows: 2% of the
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* targets, 4% of the targets, 8% of the targets, and continues until the
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* configuration has been deployed to all targets.</p>
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*/
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inline UpdateDeploymentStrategyRequest& WithGrowthType(GrowthType&& value) { SetGrowthType(std::move(value)); return *this;}
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private:
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Aws::String m_deploymentStrategyId;
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bool m_deploymentStrategyIdHasBeenSet;
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Aws::String m_description;
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bool m_descriptionHasBeenSet;
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int m_deploymentDurationInMinutes;
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bool m_deploymentDurationInMinutesHasBeenSet;
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int m_finalBakeTimeInMinutes;
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bool m_finalBakeTimeInMinutesHasBeenSet;
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double m_growthFactor;
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bool m_growthFactorHasBeenSet;
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GrowthType m_growthType;
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bool m_growthTypeHasBeenSet;
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};
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} // namespace Model
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} // namespace AppConfig
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} // namespace Aws
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