aws_sdk_bedrock::operation::get_model_invocation_job::builders

Struct GetModelInvocationJobOutputBuilder

#[non_exhaustive]
pub struct GetModelInvocationJobOutputBuilder { /* private fields */ }

Expand description

A builder for GetModelInvocationJobOutput.

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impl GetModelInvocationJobOutputBuilder

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pub fn job_arn(self, input: impl Into<String>) -> Self

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

This field is required.

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pub fn set_job_arn(self, input: Option<String>) -> Self

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

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pub fn get_job_arn(&self) -> &Option<String>

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

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pub fn job_name(self, input: impl Into<String>) -> Self

The name of the batch inference job.

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pub fn set_job_name(self, input: Option<String>) -> Self

The name of the batch inference job.

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pub fn get_job_name(&self) -> &Option<String>

The name of the batch inference job.

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pub fn model_id(self, input: impl Into<String>) -> Self

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

This field is required.

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pub fn set_model_id(self, input: Option<String>) -> Self

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

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pub fn get_model_id(&self) -> &Option<String>

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

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pub fn client_request_token(self, input: impl Into<String>) -> Self

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 set_client_request_token(self, input: Option<String>) -> Self

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 get_client_request_token(&self) -> &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.

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pub fn role_arn(self, input: impl Into<String>) -> Self

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.

This field is required.

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pub fn set_role_arn(self, input: Option<String>) -> Self

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 get_role_arn(&self) -> &Option<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.

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pub fn status(self, input: ModelInvocationJobStatus) -> Self

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 set_status(self, input: Option<ModelInvocationJobStatus>) -> Self

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 get_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, input: impl Into<String>) -> Self

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

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pub fn set_message(self, input: Option<String>) -> Self

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

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pub fn get_message(&self) -> &Option<String>

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, input: DateTime) -> Self

The time at which the batch inference job was submitted.

This field is required.

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pub fn set_submit_time(self, input: Option<DateTime>) -> Self

The time at which the batch inference job was submitted.

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

The time at which the batch inference job was submitted.

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pub fn last_modified_time(self, input: DateTime) -> Self

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

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pub fn set_last_modified_time(self, input: Option<DateTime>) -> Self

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

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pub fn get_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, input: DateTime) -> Self

The time at which the batch inference job ended.

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pub fn set_end_time(self, input: Option<DateTime>) -> Self

The time at which the batch inference job ended.

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

The time at which the batch inference job ended.

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pub fn input_data_config(self, input: ModelInvocationJobInputDataConfig) -> Self

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

This field is required.

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pub fn set_input_data_config( self, input: Option<ModelInvocationJobInputDataConfig>, ) -> Self

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

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pub fn get_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, input: ModelInvocationJobOutputDataConfig, ) -> Self

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

This field is required.

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pub fn set_output_data_config( self, input: Option<ModelInvocationJobOutputDataConfig>, ) -> Self

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

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pub fn get_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, input: VpcConfig) -> Self

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 set_vpc_config(self, input: Option<VpcConfig>) -> Self

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 get_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, input: i32) -> Self

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

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pub fn set_timeout_duration_in_hours(self, input: Option<i32>) -> Self

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

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pub fn get_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, input: DateTime) -> Self

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

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pub fn set_job_expiration_time(self, input: Option<DateTime>) -> Self

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

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

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

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pub fn build(self) -> Result<GetModelInvocationJobOutput, BuildError>

Consumes the builder and constructs a GetModelInvocationJobOutput. This method will fail if any of the following fields are not set:

Trait Implementations§

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impl Clone for GetModelInvocationJobOutputBuilder

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fn clone(&self) -> GetModelInvocationJobOutputBuilder

Returns a duplicate of the value. Read more

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

Performs copy-assignment from source. Read more

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impl Debug for GetModelInvocationJobOutputBuilder

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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 Default for GetModelInvocationJobOutputBuilder

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fn default() -> GetModelInvocationJobOutputBuilder

Returns the “default value” for a type. Read more

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impl PartialEq for GetModelInvocationJobOutputBuilder

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

Tests for self and other values to be equal, and is used by ==.

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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 StructuralPartialEq for GetModelInvocationJobOutputBuilder

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impl UnwindSafe for GetModelInvocationJobOutputBuilder

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type Error = >::Error

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fn try_into(self) -> Result<U, >::Error>

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impl<T> WithSubscriber for T

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fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self>
where S: Into<Dispatch>,

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fn with_current_subscriber(self) -> WithDispatch<Self>

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GetModelInvocationJobOutputBuilder

Struct GetModelInvocationJobOutputBuilder Copy item path

Implementations§

impl GetModelInvocationJobOutputBuilder

pub fn job_arn(self, input: impl Into<String>) -> Self

pub fn set_job_arn(self, input: Option<String>) -> Self

pub fn get_job_arn(&self) -> &Option<String>

pub fn job_name(self, input: impl Into<String>) -> Self

pub fn set_job_name(self, input: Option<String>) -> Self

pub fn get_job_name(&self) -> &Option<String>

pub fn model_id(self, input: impl Into<String>) -> Self

pub fn set_model_id(self, input: Option<String>) -> Self

pub fn get_model_id(&self) -> &Option<String>

pub fn client_request_token(self, input: impl Into<String>) -> Self

pub fn set_client_request_token(self, input: Option<String>) -> Self

pub fn get_client_request_token(&self) -> &Option<String>

pub fn role_arn(self, input: impl Into<String>) -> Self

pub fn set_role_arn(self, input: Option<String>) -> Self

pub fn get_role_arn(&self) -> &Option<String>

pub fn status(self, input: ModelInvocationJobStatus) -> Self

pub fn set_status(self, input: Option<ModelInvocationJobStatus>) -> Self

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

pub fn message(self, input: impl Into<String>) -> Self

pub fn set_message(self, input: Option<String>) -> Self

pub fn get_message(&self) -> &Option<String>

pub fn submit_time(self, input: DateTime) -> Self

pub fn set_submit_time(self, input: Option<DateTime>) -> Self

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

pub fn last_modified_time(self, input: DateTime) -> Self

pub fn set_last_modified_time(self, input: Option<DateTime>) -> Self

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

pub fn end_time(self, input: DateTime) -> Self

pub fn set_end_time(self, input: Option<DateTime>) -> Self

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

pub fn input_data_config(self, input: ModelInvocationJobInputDataConfig) -> Self

pub fn set_input_data_config( self, input: Option<ModelInvocationJobInputDataConfig>, ) -> Self

pub fn get_input_data_config( &self, ) -> &Option<ModelInvocationJobInputDataConfig>

pub fn output_data_config( self, input: ModelInvocationJobOutputDataConfig, ) -> Self

pub fn set_output_data_config( self, input: Option<ModelInvocationJobOutputDataConfig>, ) -> Self

pub fn get_output_data_config( &self, ) -> &Option<ModelInvocationJobOutputDataConfig>

pub fn vpc_config(self, input: VpcConfig) -> Self

pub fn set_vpc_config(self, input: Option<VpcConfig>) -> Self

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

pub fn timeout_duration_in_hours(self, input: i32) -> Self

pub fn set_timeout_duration_in_hours(self, input: Option<i32>) -> Self

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

pub fn job_expiration_time(self, input: DateTime) -> Self

pub fn set_job_expiration_time(self, input: Option<DateTime>) -> Self

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

pub fn build(self) -> Result<GetModelInvocationJobOutput, BuildError>

Trait Implementations§

impl Clone for GetModelInvocationJobOutputBuilder

fn clone(&self) -> GetModelInvocationJobOutputBuilder

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

impl Debug for GetModelInvocationJobOutputBuilder

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

impl Default for GetModelInvocationJobOutputBuilder

fn default() -> GetModelInvocationJobOutputBuilder

impl PartialEq for GetModelInvocationJobOutputBuilder

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

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

impl StructuralPartialEq for GetModelInvocationJobOutputBuilder

Auto Trait Implementations§

impl Freeze for GetModelInvocationJobOutputBuilder

impl RefUnwindSafe for GetModelInvocationJobOutputBuilder

impl Send for GetModelInvocationJobOutputBuilder

impl Sync for GetModelInvocationJobOutputBuilder

impl Unpin for GetModelInvocationJobOutputBuilder

impl UnwindSafe for GetModelInvocationJobOutputBuilder

Blanket Implementations§

impl<T> Any for Twhere T: 'static + ?Sized,

fn type_id(&self) -> TypeId

impl<T> Borrow<T> for Twhere T: ?Sized,

fn borrow(&self) -> &T

impl<T> BorrowMut<T> for Twhere T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

impl<T> CloneToUninit for Twhere T: Clone,

unsafe fn clone_to_uninit(&self, dest: *mut u8)

impl<T> From<T> for T

fn from(t: T) -> T

Struct GetModelInvocationJobOutputBuilder

impl<T> Any for T
where T: 'static + ?Sized,

impl<T> Borrow<T> for T
where T: ?Sized,

impl<T> BorrowMut<T> for T
where T: ?Sized,

impl<T> CloneToUninit for T
where T: Clone,

impl<T, U> Into<U> for T
where U: From<T>,

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unshared
where Shared: FromUnshared<Unshared>,

impl<T> Paint for T
where T: ?Sized,