Struct aws_sdk_comprehend::model::TargetedSentimentDetectionJobProperties

#[non_exhaustive]
pub struct TargetedSentimentDetectionJobProperties {

    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 language_code: Option<LanguageCode>,
    pub data_access_role_arn: Option<String>,
    pub volume_kms_key_id: Option<String>,
    pub vpc_config: Option<VpcConfig>,
}

Provides information about a targeted sentiment 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 targeted sentiment detection job.

job_arn: Option<String>

The Amazon Resource Name (ARN) of the targeted sentiment 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: : :targeted-sentiment-detection-job/

The following is an example job ARN:

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

job_name: Option<String>

The name that you assigned to the targeted sentiment detection job.

job_status: Option<JobStatus>

The current status of the targeted sentiment detection job. If the status is FAILED, the Messages field shows the reason for the failure.

message: Option<String>

A description of the status of a job.

submit_time: Option<DateTime>

The time that the targeted sentiment detection job was submitted for processing.

end_time: Option<DateTime>

The time that the targeted sentiment detection job ended.

input_data_config: Option<InputDataConfig>

The input properties for an inference job.

output_data_config: Option<OutputDataConfig>

Provides configuration parameters for the output of inference jobs.

language_code: Option<LanguageCode>

The language code of the input documents.

data_access_role_arn: Option<String>

The Amazon Resource Name (ARN) that gives Amazon Comprehend read access to your input 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 targeted sentiment detection 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 an optional private Virtual Private Cloud (VPC) containing the resources you are using for the job. For more information, see Amazon VPC.

Implementations

impl TargetedSentimentDetectionJobProperties

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

The identifier assigned to the targeted sentiment detection job.

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

The Amazon Resource Name (ARN) of the targeted sentiment 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: : :targeted-sentiment-detection-job/

The following is an example job ARN:

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

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

The name that you assigned to the targeted sentiment detection job.

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

The current status of the targeted sentiment detection job. If the status is FAILED, the Messages field shows the reason for the failure.

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

A description of the status of a job.

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

The time that the targeted sentiment detection job was submitted for processing.

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

The time that the targeted sentiment detection job ended.

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

The input properties for an inference job.

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

Provides configuration parameters for the output of inference jobs.

pub fn language_code(&self) -> Option<&LanguageCode>

The language code of the input documents.

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

The Amazon Resource Name (ARN) that gives Amazon Comprehend read access to your input 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 targeted sentiment detection 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 an optional private Virtual Private Cloud (VPC) containing the resources you are using for the job. For more information, see Amazon VPC.

impl TargetedSentimentDetectionJobProperties

pub fn builder() -> Builder

Creates a new builder-style object to manufacture TargetedSentimentDetectionJobProperties

Trait Implementations

impl Clone for TargetedSentimentDetectionJobProperties

fn clone(&self) -> TargetedSentimentDetectionJobProperties

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TargetedSentimentDetectionJobProperties

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

Formats the value using the given formatter.

impl PartialEq<TargetedSentimentDetectionJobProperties> for TargetedSentimentDetectionJobProperties

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

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

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

This method tests for !=.

impl StructuralPartialEq for TargetedSentimentDetectionJobProperties