import * as core from "@terrascript/core";

export interface DsPrebuiltEcrImageArgs {
  /**
   * (Optional) The DNS suffix to use in the registry path. If not specified, the AWS provider sets it to
   * the DNS suffix for the current region.
   */
  dnsSuffix?: string | core.StringOut;

  /**
   * (Optional) The image tag for the Docker image. If not specified, the AWS provider sets the value to
   * 1`, which for many repositories indicates the latest version. Some repositories, such as XGBoost, d
   * o not support `1` or `latest` and specific version must be used.
   */
  imageTag?: string | core.StringOut;

  region?: string | core.StringOut;

  /**
   * (Required) The name of the repository, which is generally the algorithm or library. Values include `
   * blazingtext`, `factorization-machines`, `forecasting-deepar`, `image-classification`, `ipinsights`,
   * kmeans`, `knn`, `lda`, `linear-learner`, `mxnet-inference-eia`, `mxnet-inference`, `mxnet-training`
   * , `ntm`, `object-detection`, `object2vec`, `pca`, `pytorch-inference-eia`, `pytorch-inference`, `pyt
   * orch-training`, `randomcutforest`, `sagemaker-scikit-learn`, `sagemaker-sparkml-serving`, `sagemaker
   * xgboost`, `semantic-segmentation`, `seq2seq`, `tensorflow-inference-eia`, `tensorflow-inference`, `
   * tensorflow-training`, `huggingface-tensorflow-training`, `huggingface-tensorflow-inference`, `huggin
   * gface-pytorch-training`, and `huggingface-pytorch-inference`.
   */
  repositoryName: string | core.StringOut;
}

export class DsPrebuiltEcrImage extends core.Data<DsPrebuiltEcrImageArgs> {
  /**
   * (Optional) The DNS suffix to use in the registry path. If not specified, the AWS provider sets it to
   * the DNS suffix for the current region.
   */
  @core.attr(String)
  public dnsSuffix?: string | core.StringOut;

  @core.attr(String, { computed: true })
  public id!: string | core.StringOut;

  /**
   * (Optional) The image tag for the Docker image. If not specified, the AWS provider sets the value to
   * 1`, which for many repositories indicates the latest version. Some repositories, such as XGBoost, d
   * o not support `1` or `latest` and specific version must be used.
   */
  @core.attr(String)
  public imageTag?: string | core.StringOut;

  @core.attr(String)
  public region?: string | core.StringOut;

  /**
   * The account ID containing the image. For example, `469771592824`.
   */
  @core.attr(String, { computed: true })
  public registryId!: string | core.StringOut;

  /**
   * The Docker image URL. For example, `341280168497.dkr.ecr.ca-central-1.amazonaws.com/sagemaker-sparkm
   * l-serving:2.4`.
   */
  @core.attr(String, { computed: true })
  public registryPath!: string | core.StringOut;

  /**
   * (Required) The name of the repository, which is generally the algorithm or library. Values include `
   * blazingtext`, `factorization-machines`, `forecasting-deepar`, `image-classification`, `ipinsights`,
   * kmeans`, `knn`, `lda`, `linear-learner`, `mxnet-inference-eia`, `mxnet-inference`, `mxnet-training`
   * , `ntm`, `object-detection`, `object2vec`, `pca`, `pytorch-inference-eia`, `pytorch-inference`, `pyt
   * orch-training`, `randomcutforest`, `sagemaker-scikit-learn`, `sagemaker-sparkml-serving`, `sagemaker
   * xgboost`, `semantic-segmentation`, `seq2seq`, `tensorflow-inference-eia`, `tensorflow-inference`, `
   * tensorflow-training`, `huggingface-tensorflow-training`, `huggingface-tensorflow-inference`, `huggin
   * gface-pytorch-training`, and `huggingface-pytorch-inference`.
   */
  @core.attr(String)
  public repositoryName!: string | core.StringOut;

  constructor(name: string, args?: DsPrebuiltEcrImageArgs) {
    super(name, "aws_sagemaker_prebuilt_ecr_image", args);
  }

  public override getNamespace(): string {
    return "aws_sagemaker";
  }
}