Openapi.Yml Start Topics Detection Job Request Structure

{
  "$schema": "https://json-structure.org/meta/core/v0/#",
  "$id": "https://raw.githubusercontent.com/api-evangelist/amazon-comprehend/refs/heads/main/json-structure/openapi.yml-start-topics-detection-job-request-structure.json",
  "name": "StartTopicsDetectionJobRequest",
  "description": "StartTopicsDetectionJobRequest schema",
  "type": "object",
  "properties": {
    "InputDataConfig": {
      "allOf": [
        {
          "$ref": "#/components/schemas/InputDataConfig"
        },
        {
          "description": "Specifies the format and location of the input data for the job."
        }
      ]
    },
    "OutputDataConfig": {
      "allOf": [
        {
          "$ref": "#/components/schemas/OutputDataConfig"
        },
        {
          "description": "Specifies where to send the output files. The output is a compressed archive with two files, <code>topic-terms.csv</code> that lists the terms associated with each topic, and <code>doc-topics.csv</code> that lists the documents associated with each topic"
        }
      ]
    },
    "DataAccessRoleArn": {
      "allOf": [
        {
          "$ref": "#/components/schemas/IamRoleArn"
        },
        {
          "description": "The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see <a href=\"https://docs.aws.amazon.com/comprehend/latest/dg/security_iam_id-based-policy-examples.html#auth-role-permissions\">Role-based permissions</a>."
        }
      ]
    },
    "JobName": {
      "allOf": [
        {
          "$ref": "#/components/schemas/JobName"
        },
        {
          "description": "The identifier of the job."
        }
      ]
    },
    "NumberOfTopics": {
      "allOf": [
        {
          "$ref": "#/components/schemas/NumberOfTopicsInteger"
        },
        {
          "description": "The number of topics to detect."
        }
      ]
    },
    "ClientRequestToken": {
      "allOf": [
        {
          "$ref": "#/components/schemas/ClientRequestTokenString"
        },
        {
          "description": "A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one."
        }
      ]
    },
    "VolumeKmsKeyId": {
      "allOf": [
        {
          "$ref": "#/components/schemas/KmsKeyId"
        },
        {
          "description": "<p>ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:</p> <ul> <li> <p>KMS Key ID: <code>\"1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> <li> <p>Amazon Resource Name (ARN) of a KMS Key: <code>\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> </ul>"
        }
      ]
    },
    "VpcConfig": {
      "allOf": [
        {
          "$ref": "#/components/schemas/VpcConfig"
        },
        {
          "description": "Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your topic detection job. For more information, see <a href=\"https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html\">Amazon VPC</a>. "
        }
      ]
    },
    "Tags": {
      "allOf": [
        {
          "$ref": "#/components/schemas/TagList"
        },
        {
          "description": "Tags to associate with the topics detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with \"Sales\" as the key might be added to a resource to indicate its use by the sales department."
        }
      ]
    }
  },
  "required": [
    "InputDataConfig",
    "OutputDataConfig",
    "DataAccessRoleArn"
  ]
}