Struct aws_sdk_comprehend::model::TopicsDetectionJobProperties

#[non_exhaustive]
pub struct TopicsDetectionJobProperties {

    pub job_id: Option<String>,
    pub job_arn: Option<String>,
    pub job_name: Option<String>,
    pub job_status: Option<JobStatus>,
    pub message: Option<String>,
    pub submit_time: Option<DateTime>,
    pub end_time: Option<DateTime>,
    pub input_data_config: Option<InputDataConfig>,
    pub output_data_config: Option<OutputDataConfig>,
    pub number_of_topics: Option<i32>,
    pub data_access_role_arn: Option<String>,
    pub volume_kms_key_id: Option<String>,
    pub vpc_config: Option<VpcConfig>,
}

Provides information about a topic detection job.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

job_id: Option<String>

The identifier assigned to the topic detection job.

job_arn: Option<String>

The Amazon Resource Name (ARN) of the topics detection job. It is a unique, fully qualified identifier for the job. It includes the AWS account, Region, and the job ID. The format of the ARN is as follows:

arn: :comprehend: : :topics-detection-job/

The following is an example job ARN:

arn:aws:comprehend:us-west-2:111122223333:topics-detection-job/1234abcd12ab34cd56ef1234567890ab

job_name: Option<String>

The name of the topic detection job.

job_status: Option<JobStatus>

The current status of the topic detection job. If the status is Failed, the reason for the failure is shown in the Message field.

message: Option<String>

A description for the status of a job.

submit_time: Option<DateTime>

The time that the topic detection job was submitted for processing.

end_time: Option<DateTime>

The time that the topic detection job was completed.

input_data_config: Option<InputDataConfig>

The input data configuration supplied when you created the topic detection job.

output_data_config: Option<OutputDataConfig>

The output data configuration supplied when you created the topic detection job.

number_of_topics: Option<i32>

The number of topics to detect supplied when you created the topic detection job. The default is 10.

data_access_role_arn: Option<String>

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your job data.

volume_kms_key_id: Option<String>

ID for the AWS 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:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

vpc_config: Option<VpcConfig>

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your topic detection job. For more information, see Amazon VPC.

Implementations

impl TopicsDetectionJobProperties

pub fn job_id(&self) -> Option<&str>

The identifier assigned to the topic detection job.

pub fn job_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the topics detection job. It is a unique, fully qualified identifier for the job. It includes the AWS account, Region, and the job ID. The format of the ARN is as follows:

arn: :comprehend: : :topics-detection-job/

The following is an example job ARN:

arn:aws:comprehend:us-west-2:111122223333:topics-detection-job/1234abcd12ab34cd56ef1234567890ab

pub fn job_name(&self) -> Option<&str>

The name of the topic detection job.

pub fn job_status(&self) -> Option<&JobStatus>

The current status of the topic detection job. If the status is Failed, the reason for the failure is shown in the Message field.

pub fn message(&self) -> Option<&str>

A description for the status of a job.

pub fn submit_time(&self) -> Option<&DateTime>

The time that the topic detection job was submitted for processing.

pub fn end_time(&self) -> Option<&DateTime>

The time that the topic detection job was completed.

pub fn input_data_config(&self) -> Option<&InputDataConfig>

The input data configuration supplied when you created the topic detection job.

pub fn output_data_config(&self) -> Option<&OutputDataConfig>

The output data configuration supplied when you created the topic detection job.

pub fn number_of_topics(&self) -> Option<i32>

The number of topics to detect supplied when you created the topic detection job. The default is 10.

pub fn data_access_role_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your job data.

pub fn volume_kms_key_id(&self) -> Option<&str>

ID for the AWS 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:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

pub fn vpc_config(&self) -> Option<&VpcConfig>

Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your topic detection job. For more information, see Amazon VPC.

impl TopicsDetectionJobProperties

pub fn builder() -> Builder

Creates a new builder-style object to manufacture TopicsDetectionJobProperties

Trait Implementations

impl Clone for TopicsDetectionJobProperties

fn clone(&self) -> TopicsDetectionJobProperties

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for TopicsDetectionJobProperties

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<TopicsDetectionJobProperties> for TopicsDetectionJobProperties

fn eq(&self, other: &TopicsDetectionJobProperties) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &TopicsDetectionJobProperties) -> bool

This method tests for !=.

impl StructuralPartialEq for TopicsDetectionJobProperties