import React, { useMemo } from 'react'; import { DataFrame, FieldType, getFieldDisplayName, PanelProps, TimeRange } from '@grafana/data'; import { isLikelyAscendingVector } from '@grafana/data/src/transformations/transformers/joinDataFrames'; import { config, PanelDataErrorView } from '@grafana/runtime'; import { KeyboardPlugin, preparePlotFrame, TimeSeries, TooltipDisplayMode, TooltipPlugin, usePanelContext, } from '@grafana/ui'; import { XYFieldMatchers } from '@grafana/ui/src/components/GraphNG/types'; import { findFieldIndex } from 'app/features/dimensions'; import { ContextMenuPlugin } from '../timeseries/plugins/ContextMenuPlugin'; import { prepareGraphableFields, regenerateLinksSupplier } from '../timeseries/utils'; import { Options } from './panelcfg.gen'; export const TrendPanel = ({ data, timeRange, timeZone, width, height, options, fieldConfig, replaceVariables, id, }: PanelProps) => { const { sync, dataLinkPostProcessor } = usePanelContext(); // Need to fallback to first number field if no xField is set in options otherwise panel crashes 😬 const trendXFieldName = options.xField ?? data.series[0].fields.find((field) => field.type === FieldType.number)?.name; const preparePlotFrameTimeless = (frames: DataFrame[], dimFields: XYFieldMatchers, timeRange?: TimeRange | null) => { dimFields = { ...dimFields, x: (field, frame, frames) => { return getFieldDisplayName(field, frame, frames) === trendXFieldName; }, }; return preparePlotFrame(frames, dimFields); }; const info = useMemo(() => { if (data.series.length > 1) { return { warning: 'Only one frame is supported, consider adding a join transformation', frames: data.series, }; } let frames = data.series; let xFieldIdx: number | undefined; if (options.xField) { xFieldIdx = findFieldIndex(frames[0], options.xField); if (xFieldIdx == null) { return { warning: 'Unable to find field: ' + options.xField, frames: data.series, }; } } else { // first number field // Perhaps we can/should support any ordinal rather than an error here xFieldIdx = frames[0].fields.findIndex((f) => f.type === FieldType.number); if (xFieldIdx === -1) { return { warning: 'No numeric fields found for X axis', frames, }; } } // Make sure values are ascending if (xFieldIdx != null) { const field = frames[0].fields[xFieldIdx]; if (field.type === FieldType.number && !isLikelyAscendingVector(field.values)) { return { warning: `Values must be in ascending order`, frames, }; } } return { frames: prepareGraphableFields(frames, config.theme2, undefined, xFieldIdx) }; }, [data.series, options.xField]); if (info.warning || !info.frames) { return ( ); } return ( {(config, alignedDataFrame) => { if (alignedDataFrame.fields.some((f) => Boolean(f.config.links?.length))) { alignedDataFrame = regenerateLinksSupplier( alignedDataFrame, info.frames!, replaceVariables, timeZone, dataLinkPostProcessor ); } return ( <> {options.tooltip.mode === TooltipDisplayMode.None || ( )} ); }} ); };