list_time_series ¶

def list_time_series(
    self,
    *,
    config_overrides: Optional[IoTSiteWiseClientConfig] = None,
    next_token: Optional["capo_iotsitewise.types.next_token.NextToken"] = None,
    max_results: Optional["capo_iotsitewise.types.max_results.MaxResults"] = None,
    asset_id: Optional["capo_iotsitewise.types.custom_id.CustomID"] = None,
    alias_prefix: Optional[
        "capo_iotsitewise.types.property_alias.PropertyAlias"
    ] = None,
    time_series_type: Optional[
        "capo_iotsitewise.types.list_time_series_type.ListTimeSeriesType"
    ] = None,
    workspace_name: Optional[
        "capo_iotsitewise.types.workspace_name.WorkspaceName"
    ] = None,
) -> "capo_iotsitewise.types.list_time_series_response.ListTimeSeriesResponse":
    """<p>Retrieves a paginated list of time series (data streams).</p>

    Args:
        next_token: <p>The token to be used for the next set of paginated results.</p>
        max_results: <p>The maximum number of results to return for each paginated request.</p>
        asset_id: <p>The ID of the asset in which the asset property was created. This can be either the actual ID in UUID format, or else <code>externalId:</code> followed by the external ID, if it has one. For more information, see <a href="https://docs.aws.amazon.com/iot-sitewise/latest/userguide/object-ids.html#external-id-references">Referencing objects with external IDs</a> in the <i>IoT SiteWise User Guide</i>.</p>
        alias_prefix: <p>The alias prefix of the time series.</p>
        time_series_type: <p>The type of the time series. The time series type can be one of the following values:</p> <ul> <li> <p> <code>ASSOCIATED</code> – The time series is associated with an asset property.</p> </li> <li> <p> <code>DISASSOCIATED</code> – The time series isn't associated with any asset property.</p> </li> </ul>
        workspace_name: <p>The name of the workspace.</p>

    Raises:
        capo_iotsitewise.errors.internal_failure_exception.InternalFailureException: <p>IoT SiteWise can't process your request right now. Try again later.</p>
        capo_iotsitewise.errors.invalid_request_exception.InvalidRequestException: <p>The request isn't valid. This can occur if your request contains malformed JSON or unsupported characters. Check your request and try again.</p>
        capo_iotsitewise.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource can't be found.</p>
        capo_iotsitewise.errors.throttling_exception.ThrottlingException: <p>Your request exceeded a rate limit. For example, you might have exceeded the number of IoT SiteWise assets that can be created per second, the allowed number of messages per second, and so on.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/iot-sitewise/latest/userguide/quotas.html">Quotas</a> in the <i>IoT SiteWise User Guide</i>.</p>
        capo_iotsitewise.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_iotsitewise.types.list_time_series_request.ListTimeSeriesRequest]",
    ) -> OperationResponse[
        "capo_iotsitewise.types.list_time_series_response.ListTimeSeriesResponse"
    ]:
        import capo_iotsitewise._operations.aws_io_t_site_wise.list_time_series

        output, http_response = (
            capo_iotsitewise._operations.aws_io_t_site_wise.list_time_series.list_time_series(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListTimeSeries")
    )
    input_: capo_iotsitewise.types.list_time_series_request.ListTimeSeriesRequest = {}
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results
    if asset_id is not None:
        input_["asset_id"] = asset_id
    if alias_prefix is not None:
        input_["alias_prefix"] = alias_prefix
    if time_series_type is not None:
        input_["time_series_type"] = time_series_type
    if workspace_name is not None:
        input_["workspace_name"] = workspace_name

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