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delete_media_message_spend_limit_override 

delete_media_message_spend_limit_override(
    *, config_overrides: Optional[PinpointSMSVoiceV2ClientConfig] = None
) -> DeleteMediaMessageSpendLimitOverrideResult

Deletes an account-level monthly spending limit override for sending multimedia messages (MMS). Deleting a spend limit override will set the EnforcedLimit to equal the MaxLimit, which is controlled by Amazon Web Services. For more information on spend limits (quotas) see Quotas for Server Migration Service in the Server Migration Service User Guide.

Raises:

  • AccessDeniedException –

    The request was denied because you don't have sufficient permissions to access the resource.

  • InternalServerException –

    The API encountered an unexpected error and couldn't complete the request. You might be able to successfully issue the request again in the future.

  • ThrottlingException –

    An error that occurred because too many requests were sent during a certain amount of time.

  • ValidationException –

    A validation exception for a field.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Source code in docs_src/capo_pinpoint_sms_voice_v2/_services/pinpoint_sms_voice_v2.py 
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def delete_media_message_spend_limit_override(
    self, *, config_overrides: Optional[PinpointSMSVoiceV2ClientConfig] = None
) -> "capo_pinpoint_sms_voice_v2.types.delete_media_message_spend_limit_override_result.DeleteMediaMessageSpendLimitOverrideResult":
    """<p>Deletes an account-level monthly spending limit override for sending multimedia messages (MMS). Deleting a spend limit override will set the <code>EnforcedLimit</code> to equal the <code>MaxLimit</code>, which is controlled by Amazon Web Services. For more information on spend limits (quotas) see <a href="https://docs.aws.amazon.com/sms-voice/latest/userguide/quotas.html">Quotas for Server Migration Service</a> in the <i>Server Migration Service User Guide</i>.</p>

    Raises:
        capo_pinpoint_sms_voice_v2.errors.access_denied_exception.AccessDeniedException: <p>The request was denied because you don't have sufficient permissions to access the resource.</p>
        capo_pinpoint_sms_voice_v2.errors.internal_server_exception.InternalServerException: <p>The API encountered an unexpected error and couldn't complete the request. You might be able to successfully issue the request again in the future.</p>
        capo_pinpoint_sms_voice_v2.errors.throttling_exception.ThrottlingException: <p>An error that occurred because too many requests were sent during a certain amount of time.</p>
        capo_pinpoint_sms_voice_v2.errors.validation_exception.ValidationException: <p>A validation exception for a field.</p>
        capo_pinpoint_sms_voice_v2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_pinpoint_sms_voice_v2.types.delete_media_message_spend_limit_override_request.DeleteMediaMessageSpendLimitOverrideRequest]",
    ) -> OperationResponse[
        "capo_pinpoint_sms_voice_v2.types.delete_media_message_spend_limit_override_result.DeleteMediaMessageSpendLimitOverrideResult"
    ]:
        import capo_pinpoint_sms_voice_v2._operations.pinpoint_sms_voice_v2.delete_media_message_spend_limit_override

        output, http_response = (
            capo_pinpoint_sms_voice_v2._operations.pinpoint_sms_voice_v2.delete_media_message_spend_limit_override.delete_media_message_spend_limit_override(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteMediaMessageSpendLimitOverride")
    )
    input_: capo_pinpoint_sms_voice_v2.types.delete_media_message_spend_limit_override_request.DeleteMediaMessageSpendLimitOverrideRequest = {}

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