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get_recommender_filter

get_recommender_filter(
    domain_name: name,
    recommender_filter_name: RecommenderFilterName,
    *,
    config_overrides: Optional[CustomerProfilesClientConfig] = None,
) -> GetRecommenderFilterResponse

Retrieves information about a specific recommender filter in a domain.

Parameters:

  • domain_name (name) –

    The unique name of the domain.

  • recommender_filter_name (RecommenderFilterName) –

    The name of the recommender filter to retrieve.

Raises:

Source code in docs_src/capo_customer_profiles/_services/customer_profiles.py
def get_recommender_filter(
    self,
    domain_name: "capo_customer_profiles.types.name.name",
    recommender_filter_name: "capo_customer_profiles.types.recommender_filter_name.RecommenderFilterName",
    *,
    config_overrides: Optional[CustomerProfilesClientConfig] = None,
) -> "capo_customer_profiles.types.get_recommender_filter_response.GetRecommenderFilterResponse":
    """<p>Retrieves information about a specific recommender filter in a domain.</p>

    Args:
        domain_name: <p>The unique name of the domain.</p>
        recommender_filter_name: <p>The name of the recommender filter to retrieve.</p>

    Raises:
        capo_customer_profiles.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_customer_profiles.errors.bad_request_exception.BadRequestException: <p>The input you provided is invalid.</p>
        capo_customer_profiles.errors.internal_server_exception.InternalServerException: <p>An internal service error occurred.</p>
        capo_customer_profiles.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource does not exist, or access was denied.</p>
        capo_customer_profiles.errors.throttling_exception.ThrottlingException: <p>You exceeded the maximum number of requests.</p>
        capo_customer_profiles.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_customer_profiles.types.get_recommender_filter_request.GetRecommenderFilterRequest]",
    ) -> OperationResponse[
        "capo_customer_profiles.types.get_recommender_filter_response.GetRecommenderFilterResponse"
    ]:
        import capo_customer_profiles._operations.customer_profiles_20200815.get_recommender_filter

        output, http_response = (
            capo_customer_profiles._operations.customer_profiles_20200815.get_recommender_filter.get_recommender_filter(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_customer_profiles.types.get_recommender_filter_response.GetRecommenderFilterResponse",
    ) -> dict[str, Any]:
        import capo_customer_profiles.types.get_recommender_filter_response

        return capo_customer_profiles.types.get_recommender_filter_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("GetRecommenderFilter", redact_output=_redact_output),
    )
    input_: capo_customer_profiles.types.get_recommender_filter_request.GetRecommenderFilterRequest = {
        "domain_name": domain_name,
        "recommender_filter_name": recommender_filter_name,
    }

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