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create_multi_region_endpoint async 

create_multi_region_endpoint(
    endpoint_name: EndpointName,
    details: Details,
    *,
    config_overrides: Optional[AsyncSESv2ClientConfig] = None,
    tags: Optional[TagList] = None,
) -> CreateMultiRegionEndpointResponse

Creates a multi-region endpoint (global-endpoint).

The primary region is going to be the AWS-Region where the operation is executed. The secondary region has to be provided in request's parameters. From the data flow standpoint there is no difference between primary and secondary regions - sending traffic is divided between the two. The primary region is the region where the resource has been created and where it can be managed.

Parameters:

  • endpoint_name (EndpointName) –

    The name of the multi-region endpoint (global-endpoint).

  • details (Details) –

    Contains details of a multi-region endpoint (global-endpoint) being created.

  • tags (Optional[TagList], default: None ) –

    An array of objects that define the tags (keys and values) to associate with the multi-region endpoint (global-endpoint).

Raises:

Source code in docs_src/capo_sesv2/_services/async_se_sv2.py 
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async def create_multi_region_endpoint(
    self,
    endpoint_name: "capo_sesv2.types.endpoint_name.EndpointName",
    details: "capo_sesv2.types.details.Details",
    *,
    config_overrides: Optional[AsyncSESv2ClientConfig] = None,
    tags: Optional["capo_sesv2.types.tag_list.TagList"] = None,
) -> "capo_sesv2.types.create_multi_region_endpoint_response.CreateMultiRegionEndpointResponse":
    """<p>Creates a multi-region endpoint (global-endpoint).</p> <p>The primary region is going to be the AWS-Region where the operation is executed. The secondary region has to be provided in request's parameters. From the data flow standpoint there is no difference between primary and secondary regions - sending traffic is divided between the two. The primary region is the region where the resource has been created and where it can be managed. </p>

    Args:
        endpoint_name: <p>The name of the multi-region endpoint (global-endpoint).</p>
        details: <p>Contains details of a multi-region endpoint (global-endpoint) being created.</p>
        tags: <p>An array of objects that define the tags (keys and values) to associate with the multi-region endpoint (global-endpoint).</p>

    Raises:
        capo_sesv2.errors.already_exists_exception.AlreadyExistsException: <p>The resource specified in your request already exists.</p>
        capo_sesv2.errors.bad_request_exception.BadRequestException: <p>The input you provided is invalid.</p>
        capo_sesv2.errors.limit_exceeded_exception.LimitExceededException: <p>There are too many instances of the specified resource type.</p>
        capo_sesv2.errors.too_many_requests_exception.TooManyRequestsException: <p>Too many requests have been made to the operation.</p>
        capo_sesv2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_sesv2.types.create_multi_region_endpoint_request.CreateMultiRegionEndpointRequest]",
    ) -> AsyncOperationResponse[
        "capo_sesv2.types.create_multi_region_endpoint_response.CreateMultiRegionEndpointResponse"
    ]:
        import capo_sesv2._operations.simple_email_service_v2.create_multi_region_endpoint

        (
            output,
            http_response,
        ) = await capo_sesv2._operations.simple_email_service_v2.create_multi_region_endpoint.async_create_multi_region_endpoint(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreateMultiRegionEndpoint")
    )
    input_: capo_sesv2.types.create_multi_region_endpoint_request.CreateMultiRegionEndpointRequest = {
        "endpoint_name": endpoint_name,
        "details": details,
    }
    if tags is not None:
        input_["tags"] = tags

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output