search_notifications async ¶

async def search_notifications(
    self,
    instance_id: "capo_connect.types.instance_id.InstanceId",
    *,
    config_overrides: Optional[AsyncConnectClientConfig] = None,
    next_token: Optional["capo_connect.types.next_token.NextToken"] = None,
    max_results: Optional["capo_connect.types.max_result100.MaxResult100"] = None,
    search_filter: Optional[
        "capo_connect.types.notification_search_filter.NotificationSearchFilter"
    ] = None,
    search_criteria: Optional[
        "capo_connect.types.notification_search_criteria.NotificationSearchCriteria"
    ] = None,
) -> "capo_connect.types.search_notifications_response.SearchNotificationsResponse":
    """<p>Searches for notifications based on specified criteria and filters. Returns a paginated list of notifications matching the search parameters, ordered by descending creation time. Supports filtering by content and tags.</p>

    Args:
        instance_id: <p>The identifier of the Amazon Connect instance. You can <a href="https://docs.aws.amazon.com/connect/latest/adminguide/find-instance-arn.html">find the instance ID</a> in the Amazon Resource Name (ARN) of the instance.</p>
        next_token: <p>The token for the next set of results. Use the value returned in the previous response to retrieve the next page of results.</p>
        max_results: <p>The maximum number of results to return per page. Valid range is 1-100.</p>
        search_filter: <p>Filters to apply to the search results, such as tag-based filters.</p>
        search_criteria: <p>The search criteria to apply when searching for notifications. Supports filtering by notification ID and message content using comparison types such as STARTS_WITH, CONTAINS, and EXACT.</p>

    Raises:
        capo_connect.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient permissions to perform this action.</p>
        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_parameter_exception.InvalidParameterException: <p>One or more of the specified parameters are not valid.</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.throttling_exception.ThrottlingException: <p>The throttling limit has been exceeded.</p>
        capo_connect.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_connect.types.search_notifications_request.SearchNotificationsRequest]",
    ) -> AsyncOperationResponse[
        "capo_connect.types.search_notifications_response.SearchNotificationsResponse"
    ]:
        import capo_connect._operations.amazon_connect_service.search_notifications

        (
            output,
            http_response,
        ) = await capo_connect._operations.amazon_connect_service.search_notifications.async_search_notifications(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("SearchNotifications")
    )
    input_: capo_connect.types.search_notifications_request.SearchNotificationsRequest = {
        "instance_id": instance_id
    }
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results
    if search_filter is not None:
        input_["search_filter"] = search_filter
    if search_criteria is not None:
        input_["search_criteria"] = search_criteria

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output