#[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
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§
Source§impl GetModelInvocationJobOutput
impl GetModelInvocationJobOutput
Sourcepub fn model_id(&self) -> &str
pub fn model_id(&self) -> &str
The unique identifier of the foundation model used for model inference.
Sourcepub fn client_request_token(&self) -> Option<&str>
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.
Sourcepub fn role_arn(&self) -> &str
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.
Sourcepub fn status(&self) -> Option<&ModelInvocationJobStatus>
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.
Sourcepub fn message(&self) -> Option<&str>
pub fn message(&self) -> Option<&str>
If the batch inference job failed, this field contains a message describing why the job failed.
Sourcepub fn submit_time(&self) -> &DateTime
pub fn submit_time(&self) -> &DateTime
The time at which the batch inference job was submitted.
Sourcepub fn last_modified_time(&self) -> Option<&DateTime>
pub fn last_modified_time(&self) -> Option<&DateTime>
The time at which the batch inference job was last modified.
Sourcepub fn input_data_config(&self) -> Option<&ModelInvocationJobInputDataConfig>
pub fn input_data_config(&self) -> Option<&ModelInvocationJobInputDataConfig>
Details about the location of the input to the batch inference job.
Sourcepub fn output_data_config(&self) -> Option<&ModelInvocationJobOutputDataConfig>
pub fn output_data_config(&self) -> Option<&ModelInvocationJobOutputDataConfig>
Details about the location of the output of the batch inference job.
Sourcepub fn vpc_config(&self) -> Option<&VpcConfig>
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.
Sourcepub fn timeout_duration_in_hours(&self) -> Option<i32>
pub fn timeout_duration_in_hours(&self) -> Option<i32>
The number of hours after which batch inference job was set to time out.
Sourcepub fn job_expiration_time(&self) -> Option<&DateTime>
pub fn job_expiration_time(&self) -> Option<&DateTime>
The time at which the batch inference job times or timed out.
Source§impl GetModelInvocationJobOutput
impl GetModelInvocationJobOutput
Sourcepub fn builder() -> GetModelInvocationJobOutputBuilder
pub fn builder() -> GetModelInvocationJobOutputBuilder
Creates a new builder-style object to manufacture GetModelInvocationJobOutput
.
Trait Implementations§
Source§impl Clone for GetModelInvocationJobOutput
impl Clone for GetModelInvocationJobOutput
Source§fn clone(&self) -> GetModelInvocationJobOutput
fn clone(&self) -> GetModelInvocationJobOutput
1.0.0 · Source§const fn clone_from(&mut self, source: &Self)
const fn clone_from(&mut self, source: &Self)
source
. Read moreSource§impl Debug for GetModelInvocationJobOutput
impl Debug for GetModelInvocationJobOutput
Source§impl PartialEq for GetModelInvocationJobOutput
impl PartialEq for GetModelInvocationJobOutput
Source§fn eq(&self, other: &GetModelInvocationJobOutput) -> bool
fn eq(&self, other: &GetModelInvocationJobOutput) -> bool
self
and other
values to be equal, and is used by ==
.Source§impl RequestId for GetModelInvocationJobOutput
impl RequestId for GetModelInvocationJobOutput
Source§fn request_id(&self) -> Option<&str>
fn request_id(&self) -> Option<&str>
None
if the service could not be reached.impl StructuralPartialEq for GetModelInvocationJobOutput
Auto Trait Implementations§
impl Freeze for GetModelInvocationJobOutput
impl RefUnwindSafe for GetModelInvocationJobOutput
impl Send for GetModelInvocationJobOutput
impl Sync for GetModelInvocationJobOutput
impl Unpin for GetModelInvocationJobOutput
impl UnwindSafe for GetModelInvocationJobOutput
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