get_contact_attributes ¶

def get_contact_attributes(
    self,
    instance_id: "capo_connect.types.instance_id.InstanceId",
    initial_contact_id: "capo_connect.types.contact_id.ContactId",
    *,
    config_overrides: Optional[ConnectClientConfig] = None,
) -> "capo_connect.types.get_contact_attributes_response.GetContactAttributesResponse":
    """<p>Retrieves the contact attributes for the specified contact.</p>

    Args:
        instance_id: <p>The identifier of the Connect Customer instance.</p>
        initial_contact_id: <p>The identifier of the initial contact.</p>

    Raises:
        capo_connect.errors.internal_service_exception.InternalServiceException: <p>Request processing failed because of an error or failure with the service.</p>
        capo_connect.errors.invalid_request_exception.InvalidRequestException: <p>The request is not valid.</p>
        capo_connect.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_connect.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_connect.types.get_contact_attributes_request.GetContactAttributesRequest]",
    ) -> OperationResponse[
        "capo_connect.types.get_contact_attributes_response.GetContactAttributesResponse"
    ]:
        import capo_connect._operations.amazon_connect_service.get_contact_attributes

        output, http_response = (
            capo_connect._operations.amazon_connect_service.get_contact_attributes.get_contact_attributes(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetContactAttributes")
    )
    input_: capo_connect.types.get_contact_attributes_request.GetContactAttributesRequest = {
        "instance_id": instance_id,
        "initial_contact_id": initial_contact_id,
    }

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