IoTSiteWise / Client / get_asset_property_aggregates

get_asset_property_aggregates#

IoTSiteWise.Client.get_asset_property_aggregates(**kwargs)#

Gets aggregated values for an asset property. For more information, see Querying aggregates in the IoT SiteWise User Guide.

To identify an asset property, you must specify one of the following:

  • The assetId and propertyId of an asset property.

  • A propertyAlias, which is a data stream alias (for example, /company/windfarm/3/turbine/7/temperature). To define an asset property’s alias, see UpdateAssetProperty.

See also: AWS API Documentation

Request Syntax

response = client.get_asset_property_aggregates(
    assetId='string',
    propertyId='string',
    propertyAlias='string',
    aggregateTypes=[
        'AVERAGE'|'COUNT'|'MAXIMUM'|'MINIMUM'|'SUM'|'STANDARD_DEVIATION',
    ],
    resolution='string',
    qualities=[
        'GOOD'|'BAD'|'UNCERTAIN',
    ],
    startDate=datetime(2015, 1, 1),
    endDate=datetime(2015, 1, 1),
    timeOrdering='ASCENDING'|'DESCENDING',
    nextToken='string',
    maxResults=123
)
Parameters:

  • assetId (string) – The ID of the asset, in UUID format.

  • propertyId (string) – The ID of the asset property, in UUID format.

  • propertyAlias (string) – The alias that identifies the property, such as an OPC-UA server data stream path (for example, /company/windfarm/3/turbine/7/temperature). For more information, see Mapping industrial data streams to asset properties in the IoT SiteWise User Guide.

  • aggregateTypes (list) –

    [REQUIRED]

    The data aggregating function.

    • (string) –

  • resolution (string) –

    [REQUIRED]

    The time interval over which to aggregate data.

  • qualities (list) –

    The quality by which to filter asset data.

    • (string) –

  • startDate (datetime) –

    [REQUIRED]

    The exclusive start of the range from which to query historical data, expressed in seconds in Unix epoch time.

  • endDate (datetime) –

    [REQUIRED]

    The inclusive end of the range from which to query historical data, expressed in seconds in Unix epoch time.

  • timeOrdering (string) –

    The chronological sorting order of the requested information.

    Default: ASCENDING

  • nextToken (string) – The token to be used for the next set of paginated results.

  • maxResults (integer) –

    The maximum number of results to return for each paginated request. A result set is returned in the two cases, whichever occurs first.

    • The size of the result set is equal to 1 MB.

    • The number of data points in the result set is equal to the value of maxResults. The maximum value of maxResults is 2500.

Return type:

dict

Returns:

Response Syntax

{
    'aggregatedValues': [
        {
            'timestamp': datetime(2015, 1, 1),
            'quality': 'GOOD'|'BAD'|'UNCERTAIN',
            'value': {
                'average': 123.0,
                'count': 123.0,
                'maximum': 123.0,
                'minimum': 123.0,
                'sum': 123.0,
                'standardDeviation': 123.0
            }
        },
    ],
    'nextToken': 'string'
}

Response Structure

  • (dict) –

    • aggregatedValues (list) –

      The requested aggregated values.

      • (dict) –

        Contains aggregated asset property values (for example, average, minimum, and maximum).

        • timestamp (datetime) –

          The date the aggregating computations occurred, in Unix epoch time.

        • quality (string) –

          The quality of the aggregated data.

        • value (dict) –

          The value of the aggregates.

          • average (float) –

            The average (mean) value of the time series over a time interval window.

          • count (float) –

            The count of data points in the time series over a time interval window.

          • maximum (float) –

            The maximum value of the time series over a time interval window.

          • minimum (float) –

            The minimum value of the time series over a time interval window.

          • sum (float) –

            The sum of the time series over a time interval window.

          • standardDeviation (float) –

            The standard deviation of the time series over a time interval window.

    • nextToken (string) –

      The token for the next set of results, or null if there are no additional results.

Exceptions