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describe_environment_resources

describe_environment_resources(
    *,
    config_overrides: Optional[ElasticBeanstalkClientConfig] = None,
    environment_id: Optional[EnvironmentId] = None,
    environment_name: Optional[EnvironmentName] = None,
) -> EnvironmentResourceDescriptionsMessage

Returns Amazon Web Services resources for this environment.

Parameters:

  • environment_id (Optional[EnvironmentId], default: None ) –

    The ID of the environment to retrieve Amazon Web Services resource usage data.

    Condition: You must specify either this or an EnvironmentName, or both. If you do not specify either, Elastic Beanstalk returns MissingRequiredParameter error.

  • environment_name (Optional[EnvironmentName], default: None ) –

    The name of the environment to retrieve Amazon Web Services resource usage data.

    Condition: You must specify either this or an EnvironmentId, or both. If you do not specify either, Elastic Beanstalk returns MissingRequiredParameter error.

Raises:

Examples:

To view information about the AWS resources in your environment The following operation retrieves information about resources in an environment named my-env:

>>> client.describe_environment_resources(environment_name='my-env')
Source code in docs_src/capo_elastic_beanstalk/_services/elastic_beanstalk.py
def describe_environment_resources(
    self,
    *,
    config_overrides: Optional[ElasticBeanstalkClientConfig] = None,
    environment_id: Optional[
        "capo_elastic_beanstalk.types.environment_id.EnvironmentId"
    ] = None,
    environment_name: Optional[
        "capo_elastic_beanstalk.types.environment_name.EnvironmentName"
    ] = None,
) -> "capo_elastic_beanstalk.types.environment_resource_descriptions_message.EnvironmentResourceDescriptionsMessage":
    """<p>Returns Amazon Web Services resources for this environment.</p>

    Args:
        environment_id: <p>The ID of the environment to retrieve Amazon Web Services resource usage data.</p> <p> Condition: You must specify either this or an EnvironmentName, or both. If you do not specify either, Elastic Beanstalk returns <code>MissingRequiredParameter</code> error. </p>
        environment_name: <p>The name of the environment to retrieve Amazon Web Services resource usage data.</p> <p> Condition: You must specify either this or an EnvironmentId, or both. If you do not specify either, Elastic Beanstalk returns <code>MissingRequiredParameter</code> error. </p>

    Raises:
        capo_elastic_beanstalk.errors.insufficient_privileges_exception.InsufficientPrivilegesException: <p>The specified account does not have sufficient privileges for one or more Amazon Web Services services.</p>
        capo_elastic_beanstalk.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        To view information about the AWS resources in your environment
        The following operation retrieves information about resources in an environment named my-env:

        >>> client.describe_environment_resources(environment_name='my-env')
    """

    def _handler(
        req: "OperationRequest[capo_elastic_beanstalk.types.describe_environment_resources_message.DescribeEnvironmentResourcesMessage]",
    ) -> OperationResponse[
        "capo_elastic_beanstalk.types.environment_resource_descriptions_message.EnvironmentResourceDescriptionsMessage"
    ]:
        import capo_elastic_beanstalk._operations.aws_elastic_beanstalk_service.describe_environment_resources

        output, http_response = (
            capo_elastic_beanstalk._operations.aws_elastic_beanstalk_service.describe_environment_resources.describe_environment_resources(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeEnvironmentResources")
    )
    input_: capo_elastic_beanstalk.types.describe_environment_resources_message.DescribeEnvironmentResourcesMessage = {}
    if environment_id is not None:
        input_["environment_id"] = environment_id
    if environment_name is not None:
        input_["environment_name"] = environment_name

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output