/*******************************************************************************
 *  Copyright 2012-2019 Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at
 *
 *  http://aws.amazon.com/apache2.0
 *
 *  or in the "license" file accompanying this file.
 *  This file 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.
 * *****************************************************************************
 *
 *  AWS Tools for Windows (TM) PowerShell (TM)
 *
 */

using System;
using System.Collections.Generic;
using System.Linq;
using System.Management.Automation;
using System.Text;
using Amazon.PowerShell.Common;
using Amazon.Runtime;
using Amazon.Rekognition;
using Amazon.Rekognition.Model;

namespace Amazon.PowerShell.Cmdlets.REK
{
    /// <summary>
    /// Starts asynchronous detection of inappropriate, unwanted, or offensive content in
    /// a stored video. For a list of moderation labels in Amazon Rekognition, see <a href="https://docs.aws.amazon.com/rekognition/latest/dg/moderation.html#moderation-api">Using
    /// the image and video moderation APIs</a>.
    /// 
    ///  
    /// <para>
    /// Amazon Rekognition Video can moderate content in a video stored in an Amazon S3 bucket.
    /// Use <a>Video</a> to specify the bucket name and the filename of the video. <code>StartContentModeration</code>
    /// returns a job identifier (<code>JobId</code>) which you use to get the results of
    /// the analysis. When content analysis is finished, Amazon Rekognition Video publishes
    /// a completion status to the Amazon Simple Notification Service topic that you specify
    /// in <code>NotificationChannel</code>.
    /// </para><para>
    /// To get the results of the content analysis, first check that the status value published
    /// to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetContentModeration</a>
    /// and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartContentModeration</code>.
    /// 
    /// </para><para>
    /// For more information, see Moderating content in the Amazon Rekognition Developer Guide.
    /// </para>
    /// </summary>
    [Cmdlet("Start", "REKContentModeration", SupportsShouldProcess = true, ConfirmImpact = ConfirmImpact.Medium)]
    [OutputType("System.String")]
    [AWSCmdlet("Calls the Amazon Rekognition StartContentModeration API operation.", Operation = new[] {"StartContentModeration"}, SelectReturnType = typeof(Amazon.Rekognition.Model.StartContentModerationResponse))]
    [AWSCmdletOutput("System.String or Amazon.Rekognition.Model.StartContentModerationResponse",
        "This cmdlet returns a System.String object.",
        "The service call response (type Amazon.Rekognition.Model.StartContentModerationResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack."
    )]
    public partial class StartREKContentModerationCmdlet : AmazonRekognitionClientCmdlet, IExecutor
    {
        
        #region Parameter ClientRequestToken
        /// <summary>
        /// <para>
        /// <para>Idempotent token used to identify the start request. If you use the same token with
        /// multiple <code>StartContentModeration</code> requests, the same <code>JobId</code>
        /// is returned. Use <code>ClientRequestToken</code> to prevent the same job from being
        /// accidently started more than once. </para>
        /// </para>
        /// </summary>
        [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
        public System.String ClientRequestToken { get; set; }
        #endregion
        
        #region Parameter JobTag
        /// <summary>
        /// <para>
        /// <para>An identifier you specify that's returned in the completion notification that's published
        /// to your Amazon Simple Notification Service topic. For example, you can use <code>JobTag</code>
        /// to group related jobs and identify them in the completion notification.</para>
        /// </para>
        /// </summary>
        [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
        public System.String JobTag { get; set; }
        #endregion
        
        #region Parameter MinConfidence
        /// <summary>
        /// <para>
        /// <para>Specifies the minimum confidence that Amazon Rekognition must have in order to return
        /// a moderated content label. Confidence represents how certain Amazon Rekognition is
        /// that the moderated content is correctly identified. 0 is the lowest confidence. 100
        /// is the highest confidence. Amazon Rekognition doesn't return any moderated content
        /// labels with a confidence level lower than this specified value. If you don't specify
        /// <code>MinConfidence</code>, <code>GetContentModeration</code> returns labels with
        /// confidence values greater than or equal to 50 percent.</para>
        /// </para>
        /// </summary>
        [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
        public System.Single? MinConfidence { get; set; }
        #endregion
        
        #region Parameter NotificationChannel_RoleArn
        /// <summary>
        /// <para>
        /// <para>The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the
        /// Amazon SNS topic. </para>
        /// </para>
        /// </summary>
        [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
        public System.String NotificationChannel_RoleArn { get; set; }
        #endregion
        
        #region Parameter NotificationChannel_SNSTopicArn
        /// <summary>
        /// <para>
        /// <para>The Amazon SNS topic to which Amazon Rekognition posts the completion status.</para>
        /// </para>
        /// </summary>
        [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
        public System.String NotificationChannel_SNSTopicArn { get; set; }
        #endregion
        
        #region Parameter Video
        /// <summary>
        /// <para>
        /// <para>The video in which you want to detect inappropriate, unwanted, or offensive content.
        /// The video must be stored in an Amazon S3 bucket.</para>
        /// </para>
        /// </summary>
        #if !MODULAR
        [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
        #else
        [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true, Mandatory = true)]
        [System.Management.Automation.AllowNull]
        #endif
        [Amazon.PowerShell.Common.AWSRequiredParameter]
        public Amazon.Rekognition.Model.Video Video { get; set; }
        #endregion
        
        #region Parameter Select
        /// <summary>
        /// Use the -Select parameter to control the cmdlet output. The default value is 'JobId'.
        /// Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.Rekognition.Model.StartContentModerationResponse).
        /// Specifying the name of a property of type Amazon.Rekognition.Model.StartContentModerationResponse will result in that property being returned.
        /// Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value.
        /// </summary>
        [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
        public string Select { get; set; } = "JobId";
        #endregion
        
        #region Parameter Force
        /// <summary>
        /// This parameter overrides confirmation prompts to force 
        /// the cmdlet to continue its operation. This parameter should always
        /// be used with caution.
        /// </summary>
        [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)]
        public SwitchParameter Force { get; set; }
        #endregion
        
        protected override void ProcessRecord()
        {
            this._AWSSignerType = "v4";
            base.ProcessRecord();
            
            var resourceIdentifiersText = string.Empty;
            if (!ConfirmShouldProceed(this.Force.IsPresent, resourceIdentifiersText, "Start-REKContentModeration (StartContentModeration)"))
            {
                return;
            }
            
            var context = new CmdletContext();
            
            // allow for manipulation of parameters prior to loading into context
            PreExecutionContextLoad(context);
            
            if (ParameterWasBound(nameof(this.Select)))
            {
                context.Select = CreateSelectDelegate<Amazon.Rekognition.Model.StartContentModerationResponse, StartREKContentModerationCmdlet>(Select) ??
                    throw new System.ArgumentException("Invalid value for -Select parameter.", nameof(this.Select));
            }
            context.ClientRequestToken = this.ClientRequestToken;
            context.JobTag = this.JobTag;
            context.MinConfidence = this.MinConfidence;
            context.NotificationChannel_RoleArn = this.NotificationChannel_RoleArn;
            context.NotificationChannel_SNSTopicArn = this.NotificationChannel_SNSTopicArn;
            context.Video = this.Video;
            #if MODULAR
            if (this.Video == null && ParameterWasBound(nameof(this.Video)))
            {
                WriteWarning("You are passing $null as a value for parameter Video which is marked as required. In case you believe this parameter was incorrectly marked as required, report this by opening an issue at https://github.com/aws/aws-tools-for-powershell/issues.");
            }
            #endif
            
            // allow further manipulation of loaded context prior to processing
            PostExecutionContextLoad(context);
            
            var output = Execute(context) as CmdletOutput;
            ProcessOutput(output);
        }
        
        #region IExecutor Members
        
        public object Execute(ExecutorContext context)
        {
            var cmdletContext = context as CmdletContext;
            // create request
            var request = new Amazon.Rekognition.Model.StartContentModerationRequest();
            
            if (cmdletContext.ClientRequestToken != null)
            {
                request.ClientRequestToken = cmdletContext.ClientRequestToken;
            }
            if (cmdletContext.JobTag != null)
            {
                request.JobTag = cmdletContext.JobTag;
            }
            if (cmdletContext.MinConfidence != null)
            {
                request.MinConfidence = cmdletContext.MinConfidence.Value;
            }
            
             // populate NotificationChannel
            var requestNotificationChannelIsNull = true;
            request.NotificationChannel = new Amazon.Rekognition.Model.NotificationChannel();
            System.String requestNotificationChannel_notificationChannel_RoleArn = null;
            if (cmdletContext.NotificationChannel_RoleArn != null)
            {
                requestNotificationChannel_notificationChannel_RoleArn = cmdletContext.NotificationChannel_RoleArn;
            }
            if (requestNotificationChannel_notificationChannel_RoleArn != null)
            {
                request.NotificationChannel.RoleArn = requestNotificationChannel_notificationChannel_RoleArn;
                requestNotificationChannelIsNull = false;
            }
            System.String requestNotificationChannel_notificationChannel_SNSTopicArn = null;
            if (cmdletContext.NotificationChannel_SNSTopicArn != null)
            {
                requestNotificationChannel_notificationChannel_SNSTopicArn = cmdletContext.NotificationChannel_SNSTopicArn;
            }
            if (requestNotificationChannel_notificationChannel_SNSTopicArn != null)
            {
                request.NotificationChannel.SNSTopicArn = requestNotificationChannel_notificationChannel_SNSTopicArn;
                requestNotificationChannelIsNull = false;
            }
             // determine if request.NotificationChannel should be set to null
            if (requestNotificationChannelIsNull)
            {
                request.NotificationChannel = null;
            }
            if (cmdletContext.Video != null)
            {
                request.Video = cmdletContext.Video;
            }
            
            CmdletOutput output;
            
            // issue call
            var client = Client ?? CreateClient(_CurrentCredentials, _RegionEndpoint);
            try
            {
                var response = CallAWSServiceOperation(client, request);
                object pipelineOutput = null;
                pipelineOutput = cmdletContext.Select(response, this);
                output = new CmdletOutput
                {
                    PipelineOutput = pipelineOutput,
                    ServiceResponse = response
                };
            }
            catch (Exception e)
            {
                output = new CmdletOutput { ErrorResponse = e };
            }
            
            return output;
        }
        
        public ExecutorContext CreateContext()
        {
            return new CmdletContext();
        }
        
        #endregion
        
        #region AWS Service Operation Call
        
        private Amazon.Rekognition.Model.StartContentModerationResponse CallAWSServiceOperation(IAmazonRekognition client, Amazon.Rekognition.Model.StartContentModerationRequest request)
        {
            Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon Rekognition", "StartContentModeration");
            try
            {
                #if DESKTOP
                return client.StartContentModeration(request);
                #elif CORECLR
                return client.StartContentModerationAsync(request).GetAwaiter().GetResult();
                #else
                        #error "Unknown build edition"
                #endif
            }
            catch (AmazonServiceException exc)
            {
                var webException = exc.InnerException as System.Net.WebException;
                if (webException != null)
                {
                    throw new Exception(Utils.Common.FormatNameResolutionFailureMessage(client.Config, webException.Message), webException);
                }
                throw;
            }
        }
        
        #endregion
        
        internal partial class CmdletContext : ExecutorContext
        {
            public System.String ClientRequestToken { get; set; }
            public System.String JobTag { get; set; }
            public System.Single? MinConfidence { get; set; }
            public System.String NotificationChannel_RoleArn { get; set; }
            public System.String NotificationChannel_SNSTopicArn { get; set; }
            public Amazon.Rekognition.Model.Video Video { get; set; }
            public System.Func<Amazon.Rekognition.Model.StartContentModerationResponse, StartREKContentModerationCmdlet, object> Select { get; set; } =
                (response, cmdlet) => response.JobId;
        }
        
    }
}