Retrieves the properties associated with import model job, including the status of the job. For more information, see Import a customized model in the Amazon Bedrock User Guide.
Parameters:
Raises:
Source code in docs_src/capo_bedrock/_services/bedrock.py
| def get_model_import_job(
self,
job_identifier: "capo_bedrock.types.model_import_job_identifier.ModelImportJobIdentifier",
*,
config_overrides: Optional[BedrockClientConfig] = None,
) -> "capo_bedrock.types.get_model_import_job_response.GetModelImportJobResponse":
"""<p>Retrieves the properties associated with import model job, including the status of the job. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-import-model.html">Import a customized model</a> in the <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-service.html">Amazon Bedrock User Guide</a>.</p>
Args:
job_identifier: <p>The identifier of the import job.</p>
Raises:
capo_bedrock.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions.</p>
capo_bedrock.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
capo_bedrock.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.</p>
capo_bedrock.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
capo_bedrock.errors.validation_exception.ValidationException: <p>Input validation failed. Check your request parameters and retry the request.</p>
capo_bedrock.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_bedrock.types.get_model_import_job_request.GetModelImportJobRequest]",
) -> OperationResponse[
"capo_bedrock.types.get_model_import_job_response.GetModelImportJobResponse"
]:
import capo_bedrock._operations.amazon_bedrock_control_plane_service.get_model_import_job
output, http_response = (
capo_bedrock._operations.amazon_bedrock_control_plane_service.get_model_import_job.get_model_import_job(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetModelImportJob")
)
input_: capo_bedrock.types.get_model_import_job_request.GetModelImportJobRequest = {
"job_identifier": job_identifier
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|