Struct GetModelInvocationJobOutput

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#[non_exhaustive]
pub struct GetModelInvocationJobOutput {
Show 15 fields pub job_arn: String, pub job_name: Option<String>, pub model_id: String, pub client_request_token: Option<String>, pub role_arn: String, pub status: Option<ModelInvocationJobStatus>, pub message: Option<String>, pub submit_time: DateTime, pub last_modified_time: Option<DateTime>, pub end_time: Option<DateTime>, pub input_data_config: Option<ModelInvocationJobInputDataConfig>, pub output_data_config: Option<ModelInvocationJobOutputDataConfig>, pub vpc_config: Option<VpcConfig>, pub timeout_duration_in_hours: Option<i32>, pub job_expiration_time: Option<DateTime>, /* private fields */
}

Fields (Non-exhaustive)§

This struct is marked as 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_arn: String

The Amazon Resource Name (ARN) of the batch inference job.

§job_name: Option<String>

The name of the batch inference job.

§model_id: String

The unique identifier of the foundation model used for model inference.

§client_request_token: Option<String>

A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.

§role_arn: String

The Amazon Resource Name (ARN) of the service role with permissions to carry out and manage batch inference. You can use the console to create a default service role or follow the steps at Create a service role for batch inference.

§status: Option<ModelInvocationJobStatus>

The status of the batch inference job.

The following statuses are possible:

  • Submitted – This job has been submitted to a queue for validation.

  • Validating – This job is being validated for the requirements described in Format and upload your batch inference data. The criteria include the following:

    • Your IAM service role has access to the Amazon S3 buckets containing your files.

    • Your files are .jsonl files and each individual record is a JSON object in the correct format. Note that validation doesn't check if the modelInput value matches the request body for the model.

    • Your files fulfill the requirements for file size and number of records. For more information, see Quotas for Amazon Bedrock.

  • Scheduled – This job has been validated and is now in a queue. The job will automatically start when it reaches its turn.

  • Expired – This job timed out because it was scheduled but didn't begin before the set timeout duration. Submit a new job request.

  • InProgress – This job has begun. You can start viewing the results in the output S3 location.

  • Completed – This job has successfully completed. View the output files in the output S3 location.

  • PartiallyCompleted – This job has partially completed. Not all of your records could be processed in time. View the output files in the output S3 location.

  • Failed – This job has failed. Check the failure message for any further details. For further assistance, reach out to the Amazon Web ServicesSupport Center.

  • Stopped – This job was stopped by a user.

  • Stopping – This job is being stopped by a user.

§message: Option<String>

If the batch inference job failed, this field contains a message describing why the job failed.

§submit_time: DateTime

The time at which the batch inference job was submitted.

§last_modified_time: Option<DateTime>

The time at which the batch inference job was last modified.

§end_time: Option<DateTime>

The time at which the batch inference job ended.

§input_data_config: Option<ModelInvocationJobInputDataConfig>

Details about the location of the input to the batch inference job.

§output_data_config: Option<ModelInvocationJobOutputDataConfig>

Details about the location of the output of the batch inference job.

§vpc_config: Option<VpcConfig>

The configuration of the Virtual Private Cloud (VPC) for the data in the batch inference job. For more information, see Protect batch inference jobs using a VPC.

§timeout_duration_in_hours: Option<i32>

The number of hours after which batch inference job was set to time out.

§job_expiration_time: Option<DateTime>

The time at which the batch inference job times or timed out.

Implementations§

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impl GetModelInvocationJobOutput

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pub fn job_arn(&self) -> &str

The Amazon Resource Name (ARN) of the batch inference job.

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

The name of the batch inference job.

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pub fn model_id(&self) -> &str

The unique identifier of the foundation model used for model inference.

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

A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.

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pub fn role_arn(&self) -> &str

The Amazon Resource Name (ARN) of the service role with permissions to carry out and manage batch inference. You can use the console to create a default service role or follow the steps at Create a service role for batch inference.

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pub fn status(&self) -> Option<&ModelInvocationJobStatus>

The status of the batch inference job.

The following statuses are possible:

  • Submitted – This job has been submitted to a queue for validation.

  • Validating – This job is being validated for the requirements described in Format and upload your batch inference data. The criteria include the following:

    • Your IAM service role has access to the Amazon S3 buckets containing your files.

    • Your files are .jsonl files and each individual record is a JSON object in the correct format. Note that validation doesn't check if the modelInput value matches the request body for the model.

    • Your files fulfill the requirements for file size and number of records. For more information, see Quotas for Amazon Bedrock.

  • Scheduled – This job has been validated and is now in a queue. The job will automatically start when it reaches its turn.

  • Expired – This job timed out because it was scheduled but didn't begin before the set timeout duration. Submit a new job request.

  • InProgress – This job has begun. You can start viewing the results in the output S3 location.

  • Completed – This job has successfully completed. View the output files in the output S3 location.

  • PartiallyCompleted – This job has partially completed. Not all of your records could be processed in time. View the output files in the output S3 location.

  • Failed – This job has failed. Check the failure message for any further details. For further assistance, reach out to the Amazon Web ServicesSupport Center.

  • Stopped – This job was stopped by a user.

  • Stopping – This job is being stopped by a user.

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

If the batch inference job failed, this field contains a message describing why the job failed.

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pub fn submit_time(&self) -> &DateTime

The time at which the batch inference job was submitted.

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

The time at which the batch inference job was last modified.

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

The time at which the batch inference job ended.

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

Details about the location of the input to the batch inference job.

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

Details about the location of the output of the batch inference job.

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

The configuration of the Virtual Private Cloud (VPC) for the data in the batch inference job. For more information, see Protect batch inference jobs using a VPC.

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

The number of hours after which batch inference job was set to time out.

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

The time at which the batch inference job times or timed out.

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impl GetModelInvocationJobOutput

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pub fn builder() -> GetModelInvocationJobOutputBuilder

Creates a new builder-style object to manufacture GetModelInvocationJobOutput.

Trait Implementations§

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impl Clone for GetModelInvocationJobOutput

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fn clone(&self) -> GetModelInvocationJobOutput

Returns a duplicate of the value. Read more
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const fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for GetModelInvocationJobOutput

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

Formats the value using the given formatter. Read more
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impl PartialEq for GetModelInvocationJobOutput

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

Tests for self and other values to be equal, and is used by ==.
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const fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl RequestId for GetModelInvocationJobOutput

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fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.
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impl StructuralPartialEq for GetModelInvocationJobOutput

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