elastic/kibana

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

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#19,107 创建于 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.

贡献者指南

技术栈
typescriptreact
领域
frontendobservability
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
2
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
under 1 hour
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
familiarity with Kibana ML pluginbasic React knowledge
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
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.