// Code generated by generators/singular-data-source/main.go; DO NOT EDIT.

package sagemaker

import (
	"context"

	"github.com/hashicorp/terraform-plugin-framework/tfsdk"
	"github.com/hashicorp/terraform-plugin-framework/types"
	. "github.com/hashicorp/terraform-provider-awscc/internal/generic"
	"github.com/hashicorp/terraform-provider-awscc/internal/registry"
)

func init() {
	registry.AddDataSourceTypeFactory("awscc_sagemaker_monitoring_schedule", monitoringScheduleDataSourceType)
}

// monitoringScheduleDataSourceType returns the Terraform awscc_sagemaker_monitoring_schedule data source type.
// This Terraform data source type corresponds to the CloudFormation AWS::SageMaker::MonitoringSchedule resource type.
func monitoringScheduleDataSourceType(ctx context.Context) (tfsdk.DataSourceType, error) {
	attributes := map[string]tfsdk.Attribute{
		"creation_time": {
			// Property: CreationTime
			// CloudFormation resource type schema:
			// {
			//   "description": "The time at which the schedule was created.",
			//   "type": "string"
			// }
			Description: "The time at which the schedule was created.",
			Type:        types.StringType,
			Computed:    true,
		},
		"endpoint_name": {
			// Property: EndpointName
			// CloudFormation resource type schema:
			// {
			//   "description": "The name of the endpoint used to run the monitoring job.",
			//   "maxLength": 63,
			//   "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*",
			//   "type": "string"
			// }
			Description: "The name of the endpoint used to run the monitoring job.",
			Type:        types.StringType,
			Computed:    true,
		},
		"failure_reason": {
			// Property: FailureReason
			// CloudFormation resource type schema:
			// {
			//   "description": "Contains the reason a monitoring job failed, if it failed.",
			//   "maxLength": 1024,
			//   "minLength": 1,
			//   "type": "string"
			// }
			Description: "Contains the reason a monitoring job failed, if it failed.",
			Type:        types.StringType,
			Computed:    true,
		},
		"last_modified_time": {
			// Property: LastModifiedTime
			// CloudFormation resource type schema:
			// {
			//   "description": "A timestamp that indicates the last time the monitoring job was modified.",
			//   "type": "string"
			// }
			Description: "A timestamp that indicates the last time the monitoring job was modified.",
			Type:        types.StringType,
			Computed:    true,
		},
		"last_monitoring_execution_summary": {
			// Property: LastMonitoringExecutionSummary
			// CloudFormation resource type schema:
			// {
			//   "description": "Describes metadata on the last execution to run, if there was one.",
			//   "properties": {
			//     "CreationTime": {
			//       "description": "The time at which the monitoring job was created.",
			//       "type": "string"
			//     },
			//     "EndpointName": {
			//       "description": "The name of the endpoint used to run the monitoring job.",
			//       "maxLength": 63,
			//       "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*",
			//       "type": "string"
			//     },
			//     "FailureReason": {
			//       "description": "Contains the reason a monitoring job failed, if it failed.",
			//       "maxLength": 1024,
			//       "type": "string"
			//     },
			//     "LastModifiedTime": {
			//       "description": "A timestamp that indicates the last time the monitoring job was modified.",
			//       "type": "string"
			//     },
			//     "MonitoringExecutionStatus": {
			//       "description": "The status of the monitoring job.",
			//       "enum": [
			//         "Pending",
			//         "Completed",
			//         "CompletedWithViolations",
			//         "InProgress",
			//         "Failed",
			//         "Stopping",
			//         "Stopped"
			//       ],
			//       "type": "string"
			//     },
			//     "MonitoringScheduleName": {
			//       "description": "The name of the monitoring schedule.",
			//       "maxLength": 63,
			//       "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*$",
			//       "type": "string"
			//     },
			//     "ProcessingJobArn": {
			//       "description": "The Amazon Resource Name (ARN) of the monitoring job.",
			//       "maxLength": 256,
			//       "pattern": "aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:processing-job/.*",
			//       "type": "string"
			//     },
			//     "ScheduledTime": {
			//       "description": "The time the monitoring job was scheduled.",
			//       "type": "string"
			//     }
			//   },
			//   "required": [
			//     "CreationTime",
			//     "LastModifiedTime",
			//     "MonitoringExecutionStatus",
			//     "MonitoringScheduleName",
			//     "ScheduledTime"
			//   ],
			//   "type": "object"
			// }
			Description: "Describes metadata on the last execution to run, if there was one.",
			Attributes: tfsdk.SingleNestedAttributes(
				map[string]tfsdk.Attribute{
					"creation_time": {
						// Property: CreationTime
						Description: "The time at which the monitoring job was created.",
						Type:        types.StringType,
						Computed:    true,
					},
					"endpoint_name": {
						// Property: EndpointName
						Description: "The name of the endpoint used to run the monitoring job.",
						Type:        types.StringType,
						Computed:    true,
					},
					"failure_reason": {
						// Property: FailureReason
						Description: "Contains the reason a monitoring job failed, if it failed.",
						Type:        types.StringType,
						Computed:    true,
					},
					"last_modified_time": {
						// Property: LastModifiedTime
						Description: "A timestamp that indicates the last time the monitoring job was modified.",
						Type:        types.StringType,
						Computed:    true,
					},
					"monitoring_execution_status": {
						// Property: MonitoringExecutionStatus
						Description: "The status of the monitoring job.",
						Type:        types.StringType,
						Computed:    true,
					},
					"monitoring_schedule_name": {
						// Property: MonitoringScheduleName
						Description: "The name of the monitoring schedule.",
						Type:        types.StringType,
						Computed:    true,
					},
					"processing_job_arn": {
						// Property: ProcessingJobArn
						Description: "The Amazon Resource Name (ARN) of the monitoring job.",
						Type:        types.StringType,
						Computed:    true,
					},
					"scheduled_time": {
						// Property: ScheduledTime
						Description: "The time the monitoring job was scheduled.",
						Type:        types.StringType,
						Computed:    true,
					},
				},
			),
			Computed: true,
		},
		"monitoring_schedule_arn": {
			// Property: MonitoringScheduleArn
			// CloudFormation resource type schema:
			// {
			//   "description": "The Amazon Resource Name (ARN) of the monitoring schedule.",
			//   "maxLength": 256,
			//   "minLength": 1,
			//   "type": "string"
			// }
			Description: "The Amazon Resource Name (ARN) of the monitoring schedule.",
			Type:        types.StringType,
			Computed:    true,
		},
		"monitoring_schedule_config": {
			// Property: MonitoringScheduleConfig
			// CloudFormation resource type schema:
			// {
			//   "additionalProperties": false,
			//   "description": "The configuration object that specifies the monitoring schedule and defines the monitoring job.",
			//   "properties": {
			//     "MonitoringJobDefinition": {
			//       "additionalProperties": false,
			//       "description": "Defines the monitoring job.",
			//       "properties": {
			//         "BaselineConfig": {
			//           "additionalProperties": false,
			//           "description": "Baseline configuration used to validate that the data conforms to the specified constraints and statistics.",
			//           "properties": {
			//             "ConstraintsResource": {
			//               "additionalProperties": false,
			//               "description": "The baseline constraints resource for a monitoring job.",
			//               "properties": {
			//                 "S3Uri": {
			//                   "description": "The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.",
			//                   "maxLength": 1024,
			//                   "pattern": "^(https|s3)://([^/]+)/?(.*)$",
			//                   "type": "string"
			//                 }
			//               },
			//               "type": "object"
			//             },
			//             "StatisticsResource": {
			//               "additionalProperties": false,
			//               "description": "The baseline statistics resource for a monitoring job.",
			//               "properties": {
			//                 "S3Uri": {
			//                   "description": "The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.",
			//                   "maxLength": 1024,
			//                   "pattern": "^(https|s3)://([^/]+)/?(.*)$",
			//                   "type": "string"
			//                 }
			//               },
			//               "type": "object"
			//             }
			//           },
			//           "type": "object"
			//         },
			//         "Environment": {
			//           "description": "Sets the environment variables in the Docker container",
			//           "patternProperties": {
			//             "": {
			//               "maxLength": 256,
			//               "minLength": 1,
			//               "type": "string"
			//             },
			//             "[\\S\\s]*": {
			//               "maxLength": 256,
			//               "type": "string"
			//             }
			//           },
			//           "type": "object"
			//         },
			//         "MonitoringAppSpecification": {
			//           "additionalProperties": false,
			//           "description": "Container image configuration object for the monitoring job.",
			//           "properties": {
			//             "ContainerArguments": {
			//               "description": "An array of arguments for the container used to run the monitoring job.",
			//               "items": {
			//                 "additionalProperties": false,
			//                 "description": "Arguments for the container used to run the monitoring job.",
			//                 "maxLength": 256,
			//                 "minLength": 1,
			//                 "type": "string"
			//               },
			//               "maxItems": 50,
			//               "type": "array"
			//             },
			//             "ContainerEntrypoint": {
			//               "description": "Specifies the entrypoint for a container used to run the monitoring job.",
			//               "items": {
			//                 "maxLength": 256,
			//                 "minLength": 1,
			//                 "type": "string"
			//               },
			//               "maxItems": 100,
			//               "type": "array"
			//             },
			//             "ImageUri": {
			//               "description": "The container image to be run by the monitoring job.",
			//               "maxLength": 255,
			//               "pattern": ".*",
			//               "type": "string"
			//             },
			//             "PostAnalyticsProcessorSourceUri": {
			//               "description": "An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.",
			//               "maxLength": 1024,
			//               "pattern": "^(https|s3)://([^/]+)/?(.*)$",
			//               "type": "string"
			//             },
			//             "RecordPreprocessorSourceUri": {
			//               "description": "An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers",
			//               "maxLength": 1024,
			//               "pattern": "^(https|s3)://([^/]+)/?(.*)$",
			//               "type": "string"
			//             }
			//           },
			//           "required": [
			//             "ImageUri"
			//           ],
			//           "type": "object"
			//         },
			//         "MonitoringInputs": {
			//           "additionalProperties": false,
			//           "description": "The array of inputs for the monitoring job.",
			//           "items": {
			//             "additionalProperties": false,
			//             "description": "The inputs for a monitoring job.",
			//             "properties": {
			//               "EndpointInput": {
			//                 "additionalProperties": false,
			//                 "description": "The endpoint for a monitoring job.",
			//                 "properties": {
			//                   "EndpointName": {
			//                     "description": "The name of the endpoint used to run the monitoring job.",
			//                     "maxLength": 63,
			//                     "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*",
			//                     "type": "string"
			//                   },
			//                   "LocalPath": {
			//                     "description": "Path to the filesystem where the endpoint data is available to the container.",
			//                     "maxLength": 256,
			//                     "pattern": ".*",
			//                     "type": "string"
			//                   },
			//                   "S3DataDistributionType": {
			//                     "description": "Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated",
			//                     "enum": [
			//                       "FullyReplicated",
			//                       "ShardedByS3Key"
			//                     ],
			//                     "type": "string"
			//                   },
			//                   "S3InputMode": {
			//                     "description": "Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.",
			//                     "enum": [
			//                       "Pipe",
			//                       "File"
			//                     ],
			//                     "type": "string"
			//                   }
			//                 },
			//                 "required": [
			//                   "EndpointName",
			//                   "LocalPath"
			//                 ],
			//                 "type": "object"
			//               }
			//             },
			//             "required": [
			//               "EndpointInput"
			//             ],
			//             "type": "object"
			//           },
			//           "maxItems": 1,
			//           "minItems": 1,
			//           "type": "array"
			//         },
			//         "MonitoringOutputConfig": {
			//           "additionalProperties": false,
			//           "description": "The output configuration for monitoring jobs.",
			//           "properties": {
			//             "KmsKeyId": {
			//               "description": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.",
			//               "maxLength": 2048,
			//               "pattern": ".*",
			//               "type": "string"
			//             },
			//             "MonitoringOutputs": {
			//               "description": "Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.",
			//               "items": {
			//                 "additionalProperties": false,
			//                 "description": "The output object for a monitoring job.",
			//                 "properties": {
			//                   "S3Output": {
			//                     "additionalProperties": false,
			//                     "description": "Information about where and how to store the results of a monitoring job.",
			//                     "properties": {
			//                       "LocalPath": {
			//                         "description": "The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.",
			//                         "maxLength": 256,
			//                         "pattern": ".*",
			//                         "type": "string"
			//                       },
			//                       "S3UploadMode": {
			//                         "description": "Whether to upload the results of the monitoring job continuously or after the job completes.",
			//                         "enum": [
			//                           "Continuous",
			//                           "EndOfJob"
			//                         ],
			//                         "type": "string"
			//                       },
			//                       "S3Uri": {
			//                         "description": "A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.",
			//                         "maxLength": 512,
			//                         "pattern": "^(https|s3)://([^/]+)/?(.*)$",
			//                         "type": "string"
			//                       }
			//                     },
			//                     "required": [
			//                       "LocalPath",
			//                       "S3Uri"
			//                     ],
			//                     "type": "object"
			//                   }
			//                 },
			//                 "required": [
			//                   "S3Output"
			//                 ],
			//                 "type": "object"
			//               },
			//               "maxLength": 1,
			//               "minLength": 1,
			//               "type": "array"
			//             }
			//           },
			//           "required": [
			//             "MonitoringOutputs"
			//           ],
			//           "type": "object"
			//         },
			//         "MonitoringResources": {
			//           "additionalProperties": false,
			//           "description": "Identifies the resources to deploy for a monitoring job.",
			//           "properties": {
			//             "ClusterConfig": {
			//               "additionalProperties": false,
			//               "description": "Configuration for the cluster used to run model monitoring jobs.",
			//               "properties": {
			//                 "InstanceCount": {
			//                   "description": "The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.",
			//                   "maximum": 100,
			//                   "minimum": 1,
			//                   "type": "integer"
			//                 },
			//                 "InstanceType": {
			//                   "description": "The ML compute instance type for the processing job.",
			//                   "type": "string"
			//                 },
			//                 "VolumeKmsKeyId": {
			//                   "description": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.",
			//                   "maximum": 2048,
			//                   "minimum": 1,
			//                   "type": "string"
			//                 },
			//                 "VolumeSizeInGB": {
			//                   "description": "The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.",
			//                   "maximum": 16384,
			//                   "minimum": 1,
			//                   "type": "integer"
			//                 }
			//               },
			//               "required": [
			//                 "InstanceCount",
			//                 "InstanceType",
			//                 "VolumeSizeInGB"
			//               ],
			//               "type": "object"
			//             }
			//           },
			//           "required": [
			//             "ClusterConfig"
			//           ],
			//           "type": "object"
			//         },
			//         "NetworkConfig": {
			//           "additionalProperties": false,
			//           "description": "Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.",
			//           "properties": {
			//             "EnableInterContainerTrafficEncryption": {
			//               "description": "Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.",
			//               "type": "boolean"
			//             },
			//             "EnableNetworkIsolation": {
			//               "description": "Whether to allow inbound and outbound network calls to and from the containers used for the processing job.",
			//               "type": "boolean"
			//             },
			//             "VpcConfig": {
			//               "additionalProperties": false,
			//               "description": "Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC.",
			//               "properties": {
			//                 "SecurityGroupIds": {
			//                   "description": "The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.",
			//                   "items": {
			//                     "maxLength": 32,
			//                     "pattern": "[-0-9a-zA-Z]+",
			//                     "type": "string"
			//                   },
			//                   "maxItems": 5,
			//                   "minItems": 1,
			//                   "type": "array"
			//                 },
			//                 "Subnets": {
			//                   "description": "The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.",
			//                   "items": {
			//                     "maxLength": 32,
			//                     "pattern": "[-0-9a-zA-Z]+",
			//                     "type": "string"
			//                   },
			//                   "maxItems": 16,
			//                   "minItems": 1,
			//                   "type": "array"
			//                 }
			//               },
			//               "required": [
			//                 "SecurityGroupIds",
			//                 "Subnets"
			//               ],
			//               "type": "object"
			//             }
			//           },
			//           "type": "object"
			//         },
			//         "RoleArn": {
			//           "description": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.",
			//           "maxLength": 2048,
			//           "minLength": 20,
			//           "pattern": "^arn:aws[a-z\\-]*:iam::\\d{12}:role/?[a-zA-Z_0-9+=,.@\\-_/]+$",
			//           "type": "string"
			//         },
			//         "StoppingCondition": {
			//           "additionalProperties": false,
			//           "description": "Specifies a time limit for how long the monitoring job is allowed to run.",
			//           "properties": {
			//             "MaxRuntimeInSeconds": {
			//               "description": "The maximum runtime allowed in seconds.",
			//               "maximum": 86400,
			//               "minimum": 1,
			//               "type": "integer"
			//             }
			//           },
			//           "required": [
			//             "MaxRuntimeInSeconds"
			//           ],
			//           "type": "object"
			//         }
			//       },
			//       "required": [
			//         "MonitoringAppSpecification",
			//         "MonitoringInputs",
			//         "MonitoringOutputConfig",
			//         "MonitoringResources",
			//         "RoleArn"
			//       ],
			//       "type": "object"
			//     },
			//     "MonitoringJobDefinitionName": {
			//       "description": "Name of the job definition",
			//       "maxLength": 63,
			//       "minLength": 1,
			//       "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*$",
			//       "type": "string"
			//     },
			//     "MonitoringType": {
			//       "description": "The type of monitoring job.",
			//       "enum": [
			//         "DataQuality",
			//         "ModelQuality",
			//         "ModelBias",
			//         "ModelExplainability"
			//       ],
			//       "type": "string"
			//     },
			//     "ScheduleConfig": {
			//       "additionalProperties": false,
			//       "description": "Configuration details about the monitoring schedule.",
			//       "properties": {
			//         "ScheduleExpression": {
			//           "description": "A cron expression that describes details about the monitoring schedule.",
			//           "maxLength": 256,
			//           "minLength": 1,
			//           "type": "string"
			//         }
			//       },
			//       "required": [
			//         "ScheduleExpression"
			//       ],
			//       "type": "object"
			//     }
			//   },
			//   "type": "object"
			// }
			Description: "The configuration object that specifies the monitoring schedule and defines the monitoring job.",
			Attributes: tfsdk.SingleNestedAttributes(
				map[string]tfsdk.Attribute{
					"monitoring_job_definition": {
						// Property: MonitoringJobDefinition
						Description: "Defines the monitoring job.",
						Attributes: tfsdk.SingleNestedAttributes(
							map[string]tfsdk.Attribute{
								"baseline_config": {
									// Property: BaselineConfig
									Description: "Baseline configuration used to validate that the data conforms to the specified constraints and statistics.",
									Attributes: tfsdk.SingleNestedAttributes(
										map[string]tfsdk.Attribute{
											"constraints_resource": {
												// Property: ConstraintsResource
												Description: "The baseline constraints resource for a monitoring job.",
												Attributes: tfsdk.SingleNestedAttributes(
													map[string]tfsdk.Attribute{
														"s3_uri": {
															// Property: S3Uri
															Description: "The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.",
															Type:        types.StringType,
															Computed:    true,
														},
													},
												),
												Computed: true,
											},
											"statistics_resource": {
												// Property: StatisticsResource
												Description: "The baseline statistics resource for a monitoring job.",
												Attributes: tfsdk.SingleNestedAttributes(
													map[string]tfsdk.Attribute{
														"s3_uri": {
															// Property: S3Uri
															Description: "The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.",
															Type:        types.StringType,
															Computed:    true,
														},
													},
												),
												Computed: true,
											},
										},
									),
									Computed: true,
								},
								"environment": {
									// Property: Environment
									Description: "Sets the environment variables in the Docker container",
									// Pattern: ""
									Type: types.MapType{ElemType: types.StringType},
									// Pattern "[\\S\\s]*" ignored.
									Computed: true,
								},
								"monitoring_app_specification": {
									// Property: MonitoringAppSpecification
									Description: "Container image configuration object for the monitoring job.",
									Attributes: tfsdk.SingleNestedAttributes(
										map[string]tfsdk.Attribute{
											"container_arguments": {
												// Property: ContainerArguments
												Description: "An array of arguments for the container used to run the monitoring job.",
												Type:        types.ListType{ElemType: types.StringType},
												Computed:    true,
											},
											"container_entrypoint": {
												// Property: ContainerEntrypoint
												Description: "Specifies the entrypoint for a container used to run the monitoring job.",
												Type:        types.ListType{ElemType: types.StringType},
												Computed:    true,
											},
											"image_uri": {
												// Property: ImageUri
												Description: "The container image to be run by the monitoring job.",
												Type:        types.StringType,
												Computed:    true,
											},
											"post_analytics_processor_source_uri": {
												// Property: PostAnalyticsProcessorSourceUri
												Description: "An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.",
												Type:        types.StringType,
												Computed:    true,
											},
											"record_preprocessor_source_uri": {
												// Property: RecordPreprocessorSourceUri
												Description: "An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers",
												Type:        types.StringType,
												Computed:    true,
											},
										},
									),
									Computed: true,
								},
								"monitoring_inputs": {
									// Property: MonitoringInputs
									Description: "The array of inputs for the monitoring job.",
									Attributes: tfsdk.ListNestedAttributes(
										map[string]tfsdk.Attribute{
											"endpoint_input": {
												// Property: EndpointInput
												Description: "The endpoint for a monitoring job.",
												Attributes: tfsdk.SingleNestedAttributes(
													map[string]tfsdk.Attribute{
														"endpoint_name": {
															// Property: EndpointName
															Description: "The name of the endpoint used to run the monitoring job.",
															Type:        types.StringType,
															Computed:    true,
														},
														"local_path": {
															// Property: LocalPath
															Description: "Path to the filesystem where the endpoint data is available to the container.",
															Type:        types.StringType,
															Computed:    true,
														},
														"s3_data_distribution_type": {
															// Property: S3DataDistributionType
															Description: "Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated",
															Type:        types.StringType,
															Computed:    true,
														},
														"s3_input_mode": {
															// Property: S3InputMode
															Description: "Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.",
															Type:        types.StringType,
															Computed:    true,
														},
													},
												),
												Computed: true,
											},
										},
										tfsdk.ListNestedAttributesOptions{},
									),
									Computed: true,
								},
								"monitoring_output_config": {
									// Property: MonitoringOutputConfig
									Description: "The output configuration for monitoring jobs.",
									Attributes: tfsdk.SingleNestedAttributes(
										map[string]tfsdk.Attribute{
											"kms_key_id": {
												// Property: KmsKeyId
												Description: "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.",
												Type:        types.StringType,
												Computed:    true,
											},
											"monitoring_outputs": {
												// Property: MonitoringOutputs
												Description: "Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.",
												Attributes: tfsdk.ListNestedAttributes(
													map[string]tfsdk.Attribute{
														"s3_output": {
															// Property: S3Output
															Description: "Information about where and how to store the results of a monitoring job.",
															Attributes: tfsdk.SingleNestedAttributes(
																map[string]tfsdk.Attribute{
																	"local_path": {
																		// Property: LocalPath
																		Description: "The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.",
																		Type:        types.StringType,
																		Computed:    true,
																	},
																	"s3_upload_mode": {
																		// Property: S3UploadMode
																		Description: "Whether to upload the results of the monitoring job continuously or after the job completes.",
																		Type:        types.StringType,
																		Computed:    true,
																	},
																	"s3_uri": {
																		// Property: S3Uri
																		Description: "A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.",
																		Type:        types.StringType,
																		Computed:    true,
																	},
																},
															),
															Computed: true,
														},
													},
													tfsdk.ListNestedAttributesOptions{},
												),
												Computed: true,
											},
										},
									),
									Computed: true,
								},
								"monitoring_resources": {
									// Property: MonitoringResources
									Description: "Identifies the resources to deploy for a monitoring job.",
									Attributes: tfsdk.SingleNestedAttributes(
										map[string]tfsdk.Attribute{
											"cluster_config": {
												// Property: ClusterConfig
												Description: "Configuration for the cluster used to run model monitoring jobs.",
												Attributes: tfsdk.SingleNestedAttributes(
													map[string]tfsdk.Attribute{
														"instance_count": {
															// Property: InstanceCount
															Description: "The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.",
															Type:        types.Int64Type,
															Computed:    true,
														},
														"instance_type": {
															// Property: InstanceType
															Description: "The ML compute instance type for the processing job.",
															Type:        types.StringType,
															Computed:    true,
														},
														"volume_kms_key_id": {
															// Property: VolumeKmsKeyId
															Description: "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.",
															Type:        types.StringType,
															Computed:    true,
														},
														"volume_size_in_gb": {
															// Property: VolumeSizeInGB
															Description: "The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.",
															Type:        types.Int64Type,
															Computed:    true,
														},
													},
												),
												Computed: true,
											},
										},
									),
									Computed: true,
								},
								"network_config": {
									// Property: NetworkConfig
									Description: "Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.",
									Attributes: tfsdk.SingleNestedAttributes(
										map[string]tfsdk.Attribute{
											"enable_inter_container_traffic_encryption": {
												// Property: EnableInterContainerTrafficEncryption
												Description: "Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.",
												Type:        types.BoolType,
												Computed:    true,
											},
											"enable_network_isolation": {
												// Property: EnableNetworkIsolation
												Description: "Whether to allow inbound and outbound network calls to and from the containers used for the processing job.",
												Type:        types.BoolType,
												Computed:    true,
											},
											"vpc_config": {
												// Property: VpcConfig
												Description: "Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC.",
												Attributes: tfsdk.SingleNestedAttributes(
													map[string]tfsdk.Attribute{
														"security_group_ids": {
															// Property: SecurityGroupIds
															Description: "The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.",
															Type:        types.ListType{ElemType: types.StringType},
															Computed:    true,
														},
														"subnets": {
															// Property: Subnets
															Description: "The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.",
															Type:        types.ListType{ElemType: types.StringType},
															Computed:    true,
														},
													},
												),
												Computed: true,
											},
										},
									),
									Computed: true,
								},
								"role_arn": {
									// Property: RoleArn
									Description: "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.",
									Type:        types.StringType,
									Computed:    true,
								},
								"stopping_condition": {
									// Property: StoppingCondition
									Description: "Specifies a time limit for how long the monitoring job is allowed to run.",
									Attributes: tfsdk.SingleNestedAttributes(
										map[string]tfsdk.Attribute{
											"max_runtime_in_seconds": {
												// Property: MaxRuntimeInSeconds
												Description: "The maximum runtime allowed in seconds.",
												Type:        types.Int64Type,
												Computed:    true,
											},
										},
									),
									Computed: true,
								},
							},
						),
						Computed: true,
					},
					"monitoring_job_definition_name": {
						// Property: MonitoringJobDefinitionName
						Description: "Name of the job definition",
						Type:        types.StringType,
						Computed:    true,
					},
					"monitoring_type": {
						// Property: MonitoringType
						Description: "The type of monitoring job.",
						Type:        types.StringType,
						Computed:    true,
					},
					"schedule_config": {
						// Property: ScheduleConfig
						Description: "Configuration details about the monitoring schedule.",
						Attributes: tfsdk.SingleNestedAttributes(
							map[string]tfsdk.Attribute{
								"schedule_expression": {
									// Property: ScheduleExpression
									Description: "A cron expression that describes details about the monitoring schedule.",
									Type:        types.StringType,
									Computed:    true,
								},
							},
						),
						Computed: true,
					},
				},
			),
			Computed: true,
		},
		"monitoring_schedule_name": {
			// Property: MonitoringScheduleName
			// CloudFormation resource type schema:
			// {
			//   "description": "The name of the monitoring schedule.",
			//   "maxLength": 63,
			//   "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*$",
			//   "type": "string"
			// }
			Description: "The name of the monitoring schedule.",
			Type:        types.StringType,
			Computed:    true,
		},
		"monitoring_schedule_status": {
			// Property: MonitoringScheduleStatus
			// CloudFormation resource type schema:
			// {
			//   "description": "The status of a schedule job.",
			//   "enum": [
			//     "Pending",
			//     "Failed",
			//     "Scheduled",
			//     "Stopped"
			//   ],
			//   "type": "string"
			// }
			Description: "The status of a schedule job.",
			Type:        types.StringType,
			Computed:    true,
		},
		"tags": {
			// Property: Tags
			// CloudFormation resource type schema:
			// {
			//   "description": "An array of key-value pairs to apply to this resource.",
			//   "items": {
			//     "description": "A key-value pair to associate with a resource.",
			//     "properties": {
			//       "Key": {
			//         "description": "The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -. ",
			//         "maxLength": 128,
			//         "minLength": 1,
			//         "pattern": "^([\\p{L}\\p{Z}\\p{N}_.:/=+\\-@]*)$",
			//         "type": "string"
			//       },
			//       "Value": {
			//         "description": "The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -. ",
			//         "maxLength": 256,
			//         "pattern": "^([\\p{L}\\p{Z}\\p{N}_.:/=+\\-@]*)$",
			//         "type": "string"
			//       }
			//     },
			//     "required": [
			//       "Key",
			//       "Value"
			//     ],
			//     "type": "object"
			//   },
			//   "maxItems": 50,
			//   "type": "array"
			// }
			Description: "An array of key-value pairs to apply to this resource.",
			Attributes: tfsdk.ListNestedAttributes(
				map[string]tfsdk.Attribute{
					"key": {
						// Property: Key
						Description: "The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -. ",
						Type:        types.StringType,
						Computed:    true,
					},
					"value": {
						// Property: Value
						Description: "The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -. ",
						Type:        types.StringType,
						Computed:    true,
					},
				},
				tfsdk.ListNestedAttributesOptions{},
			),
			Computed: true,
		},
	}

	attributes["id"] = tfsdk.Attribute{
		Description: "Uniquely identifies the resource.",
		Type:        types.StringType,
		Required:    true,
	}

	schema := tfsdk.Schema{
		Description: "Data Source schema for AWS::SageMaker::MonitoringSchedule",
		Version:     1,
		Attributes:  attributes,
	}

	var opts DataSourceTypeOptions

	opts = opts.WithCloudFormationTypeName("AWS::SageMaker::MonitoringSchedule").WithTerraformTypeName("awscc_sagemaker_monitoring_schedule")
	opts = opts.WithTerraformSchema(schema)
	opts = opts.WithAttributeNameMap(map[string]string{
		"baseline_config":                           "BaselineConfig",
		"cluster_config":                            "ClusterConfig",
		"constraints_resource":                      "ConstraintsResource",
		"container_arguments":                       "ContainerArguments",
		"container_entrypoint":                      "ContainerEntrypoint",
		"creation_time":                             "CreationTime",
		"enable_inter_container_traffic_encryption": "EnableInterContainerTrafficEncryption",
		"enable_network_isolation":                  "EnableNetworkIsolation",
		"endpoint_input":                            "EndpointInput",
		"endpoint_name":                             "EndpointName",
		"environment":                               "Environment",
		"failure_reason":                            "FailureReason",
		"image_uri":                                 "ImageUri",
		"instance_count":                            "InstanceCount",
		"instance_type":                             "InstanceType",
		"key":                                       "Key",
		"kms_key_id":                                "KmsKeyId",
		"last_modified_time":                        "LastModifiedTime",
		"last_monitoring_execution_summary":         "LastMonitoringExecutionSummary",
		"local_path":                                "LocalPath",
		"max_runtime_in_seconds":                    "MaxRuntimeInSeconds",
		"monitoring_app_specification":              "MonitoringAppSpecification",
		"monitoring_execution_status":               "MonitoringExecutionStatus",
		"monitoring_inputs":                         "MonitoringInputs",
		"monitoring_job_definition":                 "MonitoringJobDefinition",
		"monitoring_job_definition_name":            "MonitoringJobDefinitionName",
		"monitoring_output_config":                  "MonitoringOutputConfig",
		"monitoring_outputs":                        "MonitoringOutputs",
		"monitoring_resources":                      "MonitoringResources",
		"monitoring_schedule_arn":                   "MonitoringScheduleArn",
		"monitoring_schedule_config":                "MonitoringScheduleConfig",
		"monitoring_schedule_name":                  "MonitoringScheduleName",
		"monitoring_schedule_status":                "MonitoringScheduleStatus",
		"monitoring_type":                           "MonitoringType",
		"network_config":                            "NetworkConfig",
		"post_analytics_processor_source_uri":       "PostAnalyticsProcessorSourceUri",
		"processing_job_arn":                        "ProcessingJobArn",
		"record_preprocessor_source_uri":            "RecordPreprocessorSourceUri",
		"role_arn":                                  "RoleArn",
		"s3_data_distribution_type":                 "S3DataDistributionType",
		"s3_input_mode":                             "S3InputMode",
		"s3_output":                                 "S3Output",
		"s3_upload_mode":                            "S3UploadMode",
		"s3_uri":                                    "S3Uri",
		"schedule_config":                           "ScheduleConfig",
		"schedule_expression":                       "ScheduleExpression",
		"scheduled_time":                            "ScheduledTime",
		"security_group_ids":                        "SecurityGroupIds",
		"statistics_resource":                       "StatisticsResource",
		"stopping_condition":                        "StoppingCondition",
		"subnets":                                   "Subnets",
		"tags":                                      "Tags",
		"value":                                     "Value",
		"volume_kms_key_id":                         "VolumeKmsKeyId",
		"volume_size_in_gb":                         "VolumeSizeInGB",
		"vpc_config":                                "VpcConfig",
	})

	singularDataSourceType, err := NewSingularDataSourceType(ctx, opts...)

	if err != nil {
		return nil, err
	}

	return singularDataSourceType, nil
}