import { ThresholdProps } from 'container/NewWidget/RightContainer/Threshold/types'; import { convertValue } from 'lib/getConvertedValue'; import { isFinite } from 'lodash-es'; import { QueryDataV3 } from 'types/api/widgets/getQuery'; import uPlot from 'uplot'; function findMinMaxValues(data: QueryDataV3[]): [number, number] { let min = Number.MAX_SAFE_INTEGER; let max = Number.MIN_SAFE_INTEGER; data?.forEach((entry) => { entry.series?.forEach((series) => { series.values.forEach((valueObj) => { const value = parseFloat(valueObj.value); if (isFinite(value)) { min = Math.min(min, value); max = Math.max(max, value); } }); }); }); return [min, max]; } function findMinMaxThresholdValues( thresholds: ThresholdProps[], yAxisUnit?: string, ): [number, number] { let minThresholdValue = thresholds[0].thresholdValue || Number.MAX_SAFE_INTEGER; let maxThresholdValue = thresholds[0].thresholdValue || Number.MIN_SAFE_INTEGER; thresholds.forEach((entry) => { const { thresholdValue, thresholdUnit } = entry; if (thresholdValue === undefined) return; const compareValue = convertValue(thresholdValue, thresholdUnit, yAxisUnit); if (compareValue === null) return; minThresholdValue = Math.min(minThresholdValue, compareValue); maxThresholdValue = Math.max(maxThresholdValue, compareValue); }); return [minThresholdValue, maxThresholdValue]; } function getRange( thresholds: ThresholdProps[], series: QueryDataV3[], yAxisUnit?: string, ): [number, number] { const [minThresholdValue, maxThresholdValue] = findMinMaxThresholdValues( thresholds, yAxisUnit, ); const [minSeriesValue, maxSeriesValue] = findMinMaxValues(series); const min = Math.min(minThresholdValue, minSeriesValue); let max = Math.max(maxThresholdValue, maxSeriesValue); // this is a temp change, we need to figure out a generic way to better handle ranges based on yAxisUnit if (yAxisUnit === 'percentunit' && max < 1) { max = 1; } return [min, max]; } function areAllSeriesEmpty(series: QueryDataV3[]): boolean { return series.every((entry) => { if (!entry.series) return true; return entry.series.every((series) => series.values.length === 0); }); } function configSoftMinMax( softMin: number | null, softMax: number | null, ): { range: uPlot.Scale.Range } { return { range: { min: { soft: softMin !== null ? softMin : undefined, mode: 2, }, max: { soft: softMax !== null ? softMax : undefined, mode: 2, }, }, }; } export const getYAxisScale = ({ thresholds, series, yAxisUnit, softMin, softMax, }: // eslint-disable-next-line sonarjs/cognitive-complexity GetYAxisScale): { auto?: boolean; range?: uPlot.Scale.Range } => { // Situation: thresholds and series data is absent if ( (!thresholds || thresholds.length === 0) && (!series || areAllSeriesEmpty(series)) ) { // Situation: softMin is not null or softMax is null if (softMin !== null && softMax === null) { return configSoftMinMax(softMin, softMin + 100); } // Situation: softMin is null softMax is not null if (softMin === null && softMax !== null) { return configSoftMinMax(softMax - 100, softMax); } // Situation: softMin is not null and softMax is not null if (softMin !== null && softMax !== null) { return configSoftMinMax(softMin, softMax); } // Situation: softMin and softMax are null and no threshold and no series data return { auto: true }; } // Situation: thresholds are absent if (!thresholds || thresholds.length === 0) { if (softMax === softMin) { return { auto: true }; } // Situation: No thresholds data but series data is present if (series && !areAllSeriesEmpty(series)) { // Situation: softMin and softMax are null if (softMin === null && softMax === null) { return { auto: true }; } // Situation: either softMin or softMax is not null let [min, max] = findMinMaxValues(series); if (softMin !== null) { // Compare with softMin if it is not null min = Math.min(min, softMin); } if (softMax !== null) { // Compare with softMax if it is not null max = Math.max(max, softMax); } if (min === max) { // Min and Max value can be same if the value is same for all the series return { auto: true }; } return { auto: false, range: [min, max] }; } // Situation: No thresholds data and series data is absent but either soft min and soft max is present if (softMin !== null && softMax === null) { return configSoftMinMax(softMin, softMin + 100); } if (softMin === null && softMax !== null) { return configSoftMinMax(softMax - 100, softMax); } if (softMin !== null && softMax !== null) { return configSoftMinMax(softMin, softMax); } return { auto: true }; } if (!series || areAllSeriesEmpty(series)) { // series data is absent but threshold is present if (thresholds.length > 0) { // Situation: thresholds are present and series data is absent let [min, max] = findMinMaxThresholdValues(thresholds, yAxisUnit); if (softMin !== null) { // Compare with softMin if it is not null min = Math.min(min, softMin); } if (softMax !== null) { // Compare with softMax if it is not null max = Math.max(max, softMax); } if (min === max) { // Min and Max value can be same if the value is same for all the series return { auto: true }; } return { auto: false, range: [min, max] }; } // Situation: softMin or softMax is not null if (softMin !== null && softMax === null) { return configSoftMinMax(softMin, softMin + 100); } if (softMin === null && softMax !== null) { return configSoftMinMax(softMax - 100, softMax); } if (softMin !== null && softMax !== null) { return configSoftMinMax(softMin, softMax); } return { auto: true }; } // Situation: thresholds and series data are present let [min, max] = getRange(thresholds, series, yAxisUnit); if (softMin !== null) { // Compare with softMin if it is not null min = Math.min(min, softMin); } if (softMax !== null) { // Compare with softMax if it is not null max = Math.max(max, softMax); } if (min === max) { // Min and Max value can be same if the value is same for all the series return { auto: true }; } return { auto: false, range: [min, max] }; }; export type GetYAxisScale = { thresholds?: ThresholdProps[]; series?: QueryDataV3[]; yAxisUnit?: string; softMin: number | null; softMax: number | null; };