thousandeyes-sdk-python/dashboards_api/docs/ApiMultiMetricTableWidget.md
2023-12-11 09:29:15 +00:00

3.3 KiB

ApiMultiMetricTableWidget

A Multi-Metric table widget with columns, each representing a different metric, offering a comprehensive view rather than restricting to a single metric.

Properties

Name Type Description Notes
id str Identifier of the widget. [optional]
type WidgetType [optional]
title str Title of the widget [optional]
visual_mode VisualMode [optional]
embed_url str When `isEmbedded` is set to `true`, an `embedUrl` is provided. [optional] [readonly]
is_embedded bool Set to `true` if widget is marked as embedded; otherwise, set to `false`. [optional]
metric_group MetricGroup [optional]
direction DashboardMetricDirection [optional]
metric DashboardMetric [optional]
filters Dict[str, List[object]] (Optional) Specifies the filters applied to the widget. When present, the `filters` property displays. Each filter object has two properties: `filterProperty` and `filterValue`. The `filterProperty` can be values like Agents, Agent Groups, Tests, Monitors, etc. The `filterValue` represents theIdentifierof the selected property. [optional]
measure ApiWidgetMeasure [optional]
fixed_timespan ApiDuration [optional]
api_link str [optional] [readonly]
should_exclude_alert_suppression_windows bool Excludes alert suppression window data if set to `true`. [optional]
links SelfLinksLinks [optional]
compare_to_previous_value bool Enables comparison of the current metric value with the previous value. [optional]
row_group_by ApiAggregateProperty [optional]
sort_by WidgetSortProperty [optional]
sort_direction WidgetSortDirection [optional]
limit int Limit configured in the widget. [optional]
multi_metric_columns **List[ApiMultiMetricColumn]** [optional]
data_source MultiMetricsTableDatasource [optional]

Example

from dashboards_api.models.api_multi_metric_table_widget import ApiMultiMetricTableWidget

# TODO update the JSON string below
json = "{}"
# create an instance of ApiMultiMetricTableWidget from a JSON string
api_multi_metric_table_widget_instance = ApiMultiMetricTableWidget.from_json(json)
# print the JSON string representation of the object
print ApiMultiMetricTableWidget.to_json()

# convert the object into a dict
api_multi_metric_table_widget_dict = api_multi_metric_table_widget_instance.to_dict()
# create an instance of ApiMultiMetricTableWidget from a dict
api_multi_metric_table_widget_form_dict = api_multi_metric_table_widget.from_dict(api_multi_metric_table_widget_dict)

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