Adds specified tags to a resource with the specified ARN. Existing tags on a resource are not changed if they are not specified in the request parameters.
Parameters:
-
resource_arn
(Arn)
–
The Amazon Resource Name (ARN) of the the resource to which to add tags. Currently, the only supported resource is an Amazon ECR repository.
-
tags
(TagList)
–
The tags to add to the resource. A tag is an array of key-value pairs. Tag keys can have a maximum character length of 128 characters, and tag values can have a maximum length of 256 characters.
Raises:
-
InvalidParameterException
–
The specified parameter is invalid. Review the available parameters for the API request.
-
InvalidTagParameterException
–
An invalid parameter has been specified. Tag keys can have a maximum character length of 128 characters, and tag values can have a maximum length of 256 characters.
-
RepositoryNotFoundException
–
The specified repository could not be found. Check the spelling of the specified repository and ensure that you are performing operations on the correct registry.
-
ServerException
–
These errors are usually caused by a server-side issue.
-
TooManyTagsException
–
The list of tags on the repository is over the limit. The maximum number of tags that can be applied to a repository is 50.
-
UnknownServiceError
–
The service returned an error code this client does not model.
Source code in docs_src/capo_ecr/_services/ecr.py
| def tag_resource(
self,
resource_arn: "capo_ecr.types.arn.Arn",
tags: "capo_ecr.types.tag_list.TagList",
*,
config_overrides: Optional[ECRClientConfig] = None,
) -> "capo_ecr.types.tag_resource_response.TagResourceResponse":
"""<p>Adds specified tags to a resource with the specified ARN. Existing tags on a resource are not changed if they are not specified in the request parameters.</p>
Args:
resource_arn: <p>The Amazon Resource Name (ARN) of the the resource to which to add tags. Currently, the only supported resource is an Amazon ECR repository.</p>
tags: <p>The tags to add to the resource. A tag is an array of key-value pairs. Tag keys can have a maximum character length of 128 characters, and tag values can have a maximum length of 256 characters.</p>
Raises:
capo_ecr.errors.invalid_parameter_exception.InvalidParameterException: <p>The specified parameter is invalid. Review the available parameters for the API request.</p>
capo_ecr.errors.invalid_tag_parameter_exception.InvalidTagParameterException: <p>An invalid parameter has been specified. Tag keys can have a maximum character length of 128 characters, and tag values can have a maximum length of 256 characters.</p>
capo_ecr.errors.repository_not_found_exception.RepositoryNotFoundException: <p>The specified repository could not be found. Check the spelling of the specified repository and ensure that you are performing operations on the correct registry.</p>
capo_ecr.errors.server_exception.ServerException: <p>These errors are usually caused by a server-side issue.</p>
capo_ecr.errors.too_many_tags_exception.TooManyTagsException: <p>The list of tags on the repository is over the limit. The maximum number of tags that can be applied to a repository is 50.</p>
capo_ecr.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_ecr.types.tag_resource_request.TagResourceRequest]",
) -> OperationResponse[
"capo_ecr.types.tag_resource_response.TagResourceResponse"
]:
import capo_ecr._operations.amazon_ec2_container_registry_v20150921.tag_resource
output, http_response = (
capo_ecr._operations.amazon_ec2_container_registry_v20150921.tag_resource.tag_resource(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("TagResource")
)
input_: capo_ecr.types.tag_resource_request.TagResourceRequest = {
"resource_arn": resource_arn,
"tags": tags,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|