/******************************************************************************* * 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.LookoutforVision; using Amazon.LookoutforVision.Model; namespace Amazon.PowerShell.Cmdlets.LFV { /// /// Detects anomalies in an image that you supply. /// /// /// /// The response from DetectAnomalies includes a boolean prediction that /// the image contains one or more anomalies and a confidence value for the prediction. /// If the model is an image segmentation model, the response also includes segmentation /// information for each type of anomaly found in the image. /// /// Before calling DetectAnomalies, you must first start your model with /// the StartModel operation. You are charged for the amount of time, in minutes, /// that a model runs and for the number of anomaly detection units that your model uses. /// If you are not using a model, use the StopModel operation to stop your model. /// /// /// For more information, see Detecting anomalies in an image in the Amazon Lookout /// for Vision developer guide. /// /// This operation requires permissions to perform the lookoutvision:DetectAnomalies /// operation. /// /// [Cmdlet("Find", "LFVAnomaly")] [OutputType("Amazon.LookoutforVision.Model.DetectAnomalyResult")] [AWSCmdlet("Calls the Amazon Lookout for Vision DetectAnomalies API operation.", Operation = new[] {"DetectAnomalies"}, SelectReturnType = typeof(Amazon.LookoutforVision.Model.DetectAnomaliesResponse))] [AWSCmdletOutput("Amazon.LookoutforVision.Model.DetectAnomalyResult or Amazon.LookoutforVision.Model.DetectAnomaliesResponse", "This cmdlet returns an Amazon.LookoutforVision.Model.DetectAnomalyResult object.", "The service call response (type Amazon.LookoutforVision.Model.DetectAnomaliesResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack." )] public partial class FindLFVAnomalyCmdlet : AmazonLookoutforVisionClientCmdlet, IExecutor { #region Parameter Body /// /// /// The unencrypted image bytes that you want to analyze. /// /// The cmdlet accepts a parameter of type string, string[], System.IO.FileInfo or System.IO.Stream. /// #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 object Body { get; set; } #endregion #region Parameter ContentType /// /// /// The type of the image passed in Body. Valid values are image/png /// (PNG format images) and image/jpeg (JPG format images). /// /// #if !MODULAR [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] #else [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true, Mandatory = true)] [System.Management.Automation.AllowEmptyString] [System.Management.Automation.AllowNull] #endif [Amazon.PowerShell.Common.AWSRequiredParameter] public System.String ContentType { get; set; } #endregion #region Parameter ModelVersion /// /// /// The version of the model that you want to use. /// /// #if !MODULAR [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] #else [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true, Mandatory = true)] [System.Management.Automation.AllowEmptyString] [System.Management.Automation.AllowNull] #endif [Amazon.PowerShell.Common.AWSRequiredParameter] public System.String ModelVersion { get; set; } #endregion #region Parameter ProjectName /// /// /// The name of the project that contains the model version that you want to use. /// /// #if !MODULAR [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] #else [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true, Mandatory = true)] [System.Management.Automation.AllowEmptyString] [System.Management.Automation.AllowNull] #endif [Amazon.PowerShell.Common.AWSRequiredParameter] public System.String ProjectName { get; set; } #endregion #region Parameter Select /// /// Use the -Select parameter to control the cmdlet output. The default value is 'DetectAnomalyResult'. /// Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.LookoutforVision.Model.DetectAnomaliesResponse). /// Specifying the name of a property of type Amazon.LookoutforVision.Model.DetectAnomaliesResponse will result in that property being returned. /// Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. /// [System.Management.Automation.Parameter(ValueFromPipelineByPropertyName = true)] public string Select { get; set; } = "DetectAnomalyResult"; #endregion protected override void ProcessRecord() { this._AWSSignerType = "v4"; base.ProcessRecord(); var context = new CmdletContext(); // allow for manipulation of parameters prior to loading into context PreExecutionContextLoad(context); if (ParameterWasBound(nameof(this.Select))) { context.Select = CreateSelectDelegate(Select) ?? throw new System.ArgumentException("Invalid value for -Select parameter.", nameof(this.Select)); } context.Body = this.Body; #if MODULAR if (this.Body == null && ParameterWasBound(nameof(this.Body))) { WriteWarning("You are passing $null as a value for parameter Body 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 context.ContentType = this.ContentType; #if MODULAR if (this.ContentType == null && ParameterWasBound(nameof(this.ContentType))) { WriteWarning("You are passing $null as a value for parameter ContentType 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 context.ModelVersion = this.ModelVersion; #if MODULAR if (this.ModelVersion == null && ParameterWasBound(nameof(this.ModelVersion))) { WriteWarning("You are passing $null as a value for parameter ModelVersion 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 context.ProjectName = this.ProjectName; #if MODULAR if (this.ProjectName == null && ParameterWasBound(nameof(this.ProjectName))) { WriteWarning("You are passing $null as a value for parameter ProjectName 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) { System.IO.Stream _BodyStream = null; try { var cmdletContext = context as CmdletContext; // create request var request = new Amazon.LookoutforVision.Model.DetectAnomaliesRequest(); if (cmdletContext.Body != null) { _BodyStream = Amazon.PowerShell.Common.StreamParameterConverter.TransformToStream(cmdletContext.Body); request.Body = _BodyStream; } if (cmdletContext.ContentType != null) { request.ContentType = cmdletContext.ContentType; } if (cmdletContext.ModelVersion != null) { request.ModelVersion = cmdletContext.ModelVersion; } if (cmdletContext.ProjectName != null) { request.ProjectName = cmdletContext.ProjectName; } 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; } finally { if( _BodyStream != null) { _BodyStream.Dispose(); } } } public ExecutorContext CreateContext() { return new CmdletContext(); } #endregion #region AWS Service Operation Call private Amazon.LookoutforVision.Model.DetectAnomaliesResponse CallAWSServiceOperation(IAmazonLookoutforVision client, Amazon.LookoutforVision.Model.DetectAnomaliesRequest request) { Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon Lookout for Vision", "DetectAnomalies"); try { #if DESKTOP return client.DetectAnomalies(request); #elif CORECLR return client.DetectAnomaliesAsync(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 object Body { get; set; } public System.String ContentType { get; set; } public System.String ModelVersion { get; set; } public System.String ProjectName { get; set; } public System.Func Select { get; set; } = (response, cmdlet) => response.DetectAnomalyResult; } } }