elastic/kibana

[ML] Single Metric Viewer - clarify the time interval a sum or count is over

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#19,107 建立於 2018年5月16日

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:mlFeature:Anomaly Detectionenhancementgood first issue

描述

Changing the chart zoom in the Single Metric Viewer changes the aggregation interval as well, such that sum and count result in other aggregated values, e.g.:

  • aggregation interval of 15m with peak values a bit above 7.000: single_metric_viewer_agg_interval_15m
  • same graph with expanded time window such that the aggregation interval is 30m now shows peak values a bit above 11.000 (sum over a longer time gives higher values): single_metric_viewer_agg_interval_30m

The tooltips in the chart show the value of the selected aggregation inteval. To provide some explanation to the user about the changing values in the graph it would be good to add the time interval to the tooltip, like sum over 30m.

貢獻者指南

技術棧
typescriptreact
領域
frontendobservability
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
2
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
under 1 hour
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
clear
前置要求
familiarity with Kibana ML pluginbasic React knowledge
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
70
研究方向
The issue is about adding the aggregation interval to tooltips in the Single Metric Viewer, which is part of Kibana's ML plugin. The relevant source code is likely in x pack/plugins/ml/public/application/timeseriesexplorer/components/timeseries chart or similar. Look for the tooltip component (e.g., using Vega or a custom tooltip) and modify it to include the aggregation interval label such as 'sum over 30m'. The chart's aggregation interval is derived from the time range; examine how the interval is computed and passed to the chart. The existing comments in the issue show expected behavior.
[ML] Single Metric Viewer - clarify the time interval a sum or count is over · elastic/kibana#19107 | Good First Issue