delete_bot_analyzer_recommendation ¶

delete_bot_analyzer_recommendation(
    bot_id: Id,
    bot_analyzer_request_id: UUID,
    *,
    config_overrides: Optional[LexModelsV2ClientConfig] = None,
) -> DeleteBotAnalyzerRecommendationResponse

Permanently deletes the recommendations and analysis results for a specific bot analysis request. This operation is provided for GDPR compliance and cannot be undone.

After deletion, the analysis results cannot be retrieved. The analysis request ID will still appear in the history list, but attempting to describe the recommendations will return a ResourceNotFoundException.

Parameters:

bot_id (Id) –

The unique identifier of the bot.
bot_analyzer_request_id (UUID) –

The unique identifier of the analysis request whose recommendations should be deleted.

Raises:

InternalServerException –

The service encountered an unexpected condition. Try your request again.
ResourceNotFoundException –

You asked to describe a resource that doesn't exist. Check the resource that you are requesting and try again.
ThrottlingException –

Your request rate is too high. Reduce the frequency of requests.
ValidationException –

One of the input parameters in your request isn't valid. Check the parameters and try your request again.
UnknownServiceError –

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

Source code in docs_src/capo_lex_models_v2/_services/lex_models_v2.py

def delete_bot_analyzer_recommendation(
    self,
    bot_id: "capo_lex_models_v2.types.id.Id",
    bot_analyzer_request_id: "capo_lex_models_v2.types.uuid.UUID",
    *,
    config_overrides: Optional[LexModelsV2ClientConfig] = None,
) -> "capo_lex_models_v2.types.delete_bot_analyzer_recommendation_response.DeleteBotAnalyzerRecommendationResponse":
    """<p>Permanently deletes the recommendations and analysis results for a specific bot analysis request. This operation is provided for GDPR compliance and cannot be undone.</p> <p>After deletion, the analysis results cannot be retrieved. The analysis request ID will still appear in the history list, but attempting to describe the recommendations will return a <code>ResourceNotFoundException</code>.</p>

    Args:
        bot_id: <p>The unique identifier of the bot.</p>
        bot_analyzer_request_id: <p>The unique identifier of the analysis request whose recommendations should be deleted.</p>

    Raises:
        capo_lex_models_v2.errors.internal_server_exception.InternalServerException: <p>The service encountered an unexpected condition. Try your request again.</p>
        capo_lex_models_v2.errors.resource_not_found_exception.ResourceNotFoundException: <p>You asked to describe a resource that doesn't exist. Check the resource that you are requesting and try again.</p>
        capo_lex_models_v2.errors.throttling_exception.ThrottlingException: <p>Your request rate is too high. Reduce the frequency of requests.</p>
        capo_lex_models_v2.errors.validation_exception.ValidationException: <p>One of the input parameters in your request isn't valid. Check the parameters and try your request again.</p>
        capo_lex_models_v2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_lex_models_v2.types.delete_bot_analyzer_recommendation_request.DeleteBotAnalyzerRecommendationRequest]",
    ) -> OperationResponse[
        "capo_lex_models_v2.types.delete_bot_analyzer_recommendation_response.DeleteBotAnalyzerRecommendationResponse"
    ]:
        import capo_lex_models_v2._operations.lex_model_building_service_v2.delete_bot_analyzer_recommendation

        output, http_response = (
            capo_lex_models_v2._operations.lex_model_building_service_v2.delete_bot_analyzer_recommendation.delete_bot_analyzer_recommendation(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteBotAnalyzerRecommendation")
    )
    input_: capo_lex_models_v2.types.delete_bot_analyzer_recommendation_request.DeleteBotAnalyzerRecommendationRequest = {
        "bot_id": bot_id,
        "bot_analyzer_request_id": bot_analyzer_request_id,
    }

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