search_image_sets ¶

def search_image_sets(
    self,
    datastore_id: "capo_medical_imaging.types.datastore_id.DatastoreId",
    *,
    config_overrides: Optional[MedicalImagingClientConfig] = None,
    search_criteria: Optional[
        "capo_medical_imaging.types.search_criteria.SearchCriteria"
    ] = None,
    max_results: Optional[int] = None,
    next_token: Optional["capo_medical_imaging.types.next_token.NextToken"] = None,
) -> (
    "capo_medical_imaging.types.search_image_sets_response.SearchImageSetsResponse"
):
    """<p>Search image sets based on defined input attributes.</p> <note> <p> <code>SearchImageSets</code> accepts a single search query parameter and returns a paginated response of all image sets that have the matching criteria. All date range queries must be input as <code>(lowerBound, upperBound)</code>.</p> <p>By default, <code>SearchImageSets</code> uses the <code>updatedAt</code> field for sorting in descending order from newest to oldest.</p> </note>

    Args:
        datastore_id: <p>The identifier of the data store where the image sets reside.</p>
        search_criteria: <p>The search criteria that filters by applying a maximum of 1 item to <code>SearchByAttribute</code>.</p>
        max_results: <p>The maximum number of results that can be returned in a search.</p>
        next_token: <p>The token used for pagination of results returned in the response. Use the token returned from the previous request to continue results where the previous request ended.</p>

    Raises:
        capo_medical_imaging.errors.access_denied_exception.AccessDeniedException: <p>The user does not have sufficient access to perform this action.</p>
        capo_medical_imaging.errors.conflict_exception.ConflictException: <p>Updating or deleting a resource can cause an inconsistent state.</p>
        capo_medical_imaging.errors.internal_server_exception.InternalServerException: <p>An unexpected error occurred during processing of the request.</p>
        capo_medical_imaging.errors.resource_not_found_exception.ResourceNotFoundException: <p>The request references a resource which does not exist.</p>
        capo_medical_imaging.errors.throttling_exception.ThrottlingException: <p>The request was denied due to throttling.</p>
        capo_medical_imaging.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints set by the service.</p>
        capo_medical_imaging.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_medical_imaging.types.search_image_sets_request.SearchImageSetsRequest]",
    ) -> OperationResponse[
        "capo_medical_imaging.types.search_image_sets_response.SearchImageSetsResponse"
    ]:
        import capo_medical_imaging._operations.ahi_gateway_service.search_image_sets

        output, http_response = (
            capo_medical_imaging._operations.ahi_gateway_service.search_image_sets.search_image_sets(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_medical_imaging.types.search_image_sets_request.SearchImageSetsRequest",
    ) -> dict[str, Any]:
        import capo_medical_imaging.types.search_image_sets_request

        return (
            capo_medical_imaging.types.search_image_sets_request.redact_sensitive(
                input_
            )
        )

    def _redact_output(
        output: "capo_medical_imaging.types.search_image_sets_response.SearchImageSetsResponse",
    ) -> dict[str, Any]:
        import capo_medical_imaging.types.search_image_sets_response

        return (
            capo_medical_imaging.types.search_image_sets_response.redact_sensitive(
                output
            )
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "SearchImageSets",
            redact_input=_redact_input,
            redact_output=_redact_output,
        ),
    )
    input_: capo_medical_imaging.types.search_image_sets_request.SearchImageSetsRequest = {
        "datastore_id": datastore_id
    }
    if search_criteria is not None:
        input_["search_criteria"] = search_criteria
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

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