Deletes a Rekognition project model or project version, like a Amazon Rekognition Custom Labels model or a custom adapter.
You can't delete a project version if it is running or if it is training. To check the status of a project version, use the Status field returned from DescribeProjectVersions. To stop a project version call StopProjectVersion. If the project version is training, wait until it finishes.
This operation requires permissions to perform the rekognition:DeleteProjectVersion action.
Parameters:
-
project_version_arn
(ProjectVersionArn)
–
The Amazon Resource Name (ARN) of the project version that you want to delete.
Raises:
Examples:
To delete an Amazon Rekognition Custom Labels model
Deletes a version of an Amazon Rekognition Custom Labels model.
>>> client.delete_project_version(project_version_arn='arn:aws:rekognition:us-east-1:111122223333:project/my-project/version/1/1690556751958')
Source code in docs_src/capo_rekognition/_services/rekognition.py
| def delete_project_version(
self,
project_version_arn: "capo_rekognition.types.project_version_arn.ProjectVersionArn",
*,
config_overrides: Optional[RekognitionClientConfig] = None,
) -> "capo_rekognition.types.delete_project_version_response.DeleteProjectVersionResponse":
"""<p>Deletes a Rekognition project model or project version, like a Amazon Rekognition Custom Labels model or a custom adapter.</p> <p>You can't delete a project version if it is running or if it is training. To check the status of a project version, use the Status field returned from <a>DescribeProjectVersions</a>. To stop a project version call <a>StopProjectVersion</a>. If the project version is training, wait until it finishes.</p> <p>This operation requires permissions to perform the <code>rekognition:DeleteProjectVersion</code> action. </p>
Args:
project_version_arn: <p>The Amazon Resource Name (ARN) of the project version that you want to delete.</p>
Raises:
capo_rekognition.errors.access_denied_exception.AccessDeniedException: <p>You are not authorized to perform the action.</p>
capo_rekognition.errors.internal_server_error.InternalServerError: <p>Amazon Rekognition experienced a service issue. Try your call again.</p>
capo_rekognition.errors.invalid_parameter_exception.InvalidParameterException: <p>Input parameter violated a constraint. Validate your parameter before calling the API operation again.</p>
capo_rekognition.errors.provisioned_throughput_exceeded_exception.ProvisionedThroughputExceededException: <p>The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition.</p>
capo_rekognition.errors.resource_in_use_exception.ResourceInUseException: <p>The specified resource is already being used.</p>
capo_rekognition.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource specified in the request cannot be found.</p>
capo_rekognition.errors.throttling_exception.ThrottlingException: <p>Amazon Rekognition is temporarily unable to process the request. Try your call again.</p>
capo_rekognition.errors.UnknownServiceError: The service returned an error code this client does not model.
Examples:
To delete an Amazon Rekognition Custom Labels model
Deletes a version of an Amazon Rekognition Custom Labels model.
>>> client.delete_project_version(project_version_arn='arn:aws:rekognition:us-east-1:111122223333:project/my-project/version/1/1690556751958')
"""
def _handler(
req: "OperationRequest[capo_rekognition.types.delete_project_version_request.DeleteProjectVersionRequest]",
) -> OperationResponse[
"capo_rekognition.types.delete_project_version_response.DeleteProjectVersionResponse"
]:
import capo_rekognition._operations.rekognition_service.delete_project_version
output, http_response = (
capo_rekognition._operations.rekognition_service.delete_project_version.delete_project_version(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DeleteProjectVersion")
)
input_: capo_rekognition.types.delete_project_version_request.DeleteProjectVersionRequest = {
"project_version_arn": project_version_arn
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|