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import React, { useEffect, useState } from "react"; import { useTranslation } from "react-i18next"; import { Card, EmptyState, Icon, Typography, useMediaQuery, } from "../ecosystem"; import { HealthMetricsTableComponent, LineChart, GraphData, } from "mbh-shared-core"; import { TextLinkCard } from "../ecosystem/mybswh"; import { HealthMetricsData } from "../HealthMetrics/HealthMetricsTypes"; import { getDateStrByFormat } from "../../helpers/Tools"; import moment from "moment"; import UnderstandingYourResults from "./shared/UnderstandingYourResults"; import "./ViewTrends.scss"; interface IHealthMetricsTable { title: string; dataPoints: Array<{ key: string; value: string; }>; } interface ViewTrendsProps { healthMetrics: HealthMetricsData["healthGuidance"]; trendMetrics: HealthMetricsData["trendMetrics"]; } const ViewTrends: React.FC<ViewTrendsProps> = ({ healthMetrics, trendMetrics, }) => { const baseCn = "view-trends-tab"; if (!healthMetrics) { return null; } const { resultsInRangeTitle, resultsInRangeDescription, resultsOutOfRangeTitle, resultsOutOfRangeDescription, healthMetricsDetail, } = healthMetrics; const { t } = useTranslation(); const heading = healthMetricsDetail.name; const isWeightHealthMetric = heading.toLowerCase() === "weight"; const isBloodPressureMetric = heading.toLowerCase() === "blood pressure"; const lineChartTitle = `${heading.charAt(0).toUpperCase() + heading.slice(1)}: ${t("Trends")}`; const isMobile = useMediaQuery({ max: "md" }); const chronologicallySortedTrendMetrics = [...(trendMetrics ?? [])].sort( (a, b) => moment(a.date).unix() - moment(b.date).unix(), ); const reverseChronologicallySortedTrendMetrics = [ ...(trendMetrics ?? []), ].sort((a, b) => moment(b.date).unix() - moment(a.date).unix()); const displayEmptyState = !trendMetrics?.length || (trendMetrics?.length ?? 0) < 2; const isInRange = (healthMetricsDetail?.rangeStatus ?? "").toLowerCase() === "in range"; const [healthMetricsTables, setHealthMetricsTables] = useState< IHealthMetricsTable[] >([]); useEffect(() => { initHealthMetricsTables(); }, [trendMetrics]); const initHealthMetricsTables = () => { const years: number[] = []; const trendMetricsLength = reverseChronologicallySortedTrendMetrics?.length ?? 0; for (let i = 0; i < trendMetricsLength; i++) { const trendMetricDateStr = reverseChronologicallySortedTrendMetrics?.[i]?.date; if (trendMetricDateStr) { const year = moment(trendMetricDateStr).year(); if (!years.includes(year)) { years.push(year); } } } const _healthMetricsTables: IHealthMetricsTable[] = []; for (let i = 0; i < years.length; i++) { const selectedYear = years[i]; const trendMetricsForSelectedYear = reverseChronologicallySortedTrendMetrics?.filter( (trendMetric) => moment(trendMetric.date).year() === selectedYear, ); const dataPointsForSelectedYear = trendMetricsForSelectedYear?.map((trendMetric) => { const key = getDateStrByFormat(trendMetric.date, "MMMM D"); const value = isBloodPressureMetric ? `${trendMetric.value}/${trendMetric.value1} ${trendMetric.unit}` : `${trendMetric.value} ${trendMetric.unit}`; return { key, value }; }) ?? []; const healthMetricsTable: IHealthMetricsTable = { title: selectedYear.toString(), dataPoints: dataPointsForSelectedYear, }; _healthMetricsTables.push(healthMetricsTable); } setHealthMetricsTables(_healthMetricsTables); }; const renderMessageYourDoctorCard = () => { if (!isWeightHealthMetric && isInRange) { return null; } return ( <div className={`${baseCn}__message-your-doctor-card`}> <TextLinkCard title={t("Have questions?")} subTitle={t( "Reach out to your provider to discuss results and next steps.", )} illustration={{ name: "message-chat", size: isMobile ? "sm" : "md", }} leftCta={{ text: t("Message your doctor"), route: "/messagesSend", }} /> </div> ); }; const renderYourEffortsArePayingOff = () => { if (isWeightHealthMetric) return null; if (isInRange) { return ( <div className={`${baseCn}__your-efforts-paying-off`}> <Icon name="check" size="medium" color="$color-system-a1" /> <Typography type="body-02" color="$color-primary-a2"> {t("Excellent! Your efforts are paying off.")} </Typography> </div> ); } return null; }; const calculateYAxisValues = ( dataPoints: number[], ): { yAxis: number[]; yRange: { min: number; max: number } } => { const validData = dataPoints.filter( (val) => val != null && !isNaN(val), ); if (validData.length === 0) { return { yAxis: [0, 10, 20, 30, 40, 50], yRange: { min: 0, max: 50 }, }; } const dataMin = Math.min(...validData); const dataMax = Math.max(...validData); const dataRange = dataMax - dataMin; const padding = dataRange * 0.125; let rangeMin = dataMin - padding; let rangeMax = dataMax + padding; const targetSteps = 5; const roughStepSize = (rangeMax - rangeMin) / targetSteps; const magnitude = Math.pow(10, Math.floor(Math.log10(roughStepSize))); const niceNumbers = [1, 2, 5, 10]; let stepSize = magnitude; for (const nice of niceNumbers) { const candidate = nice * magnitude; if (candidate >= roughStepSize * 0.8) { stepSize = candidate; break; } } rangeMin = Math.floor(rangeMin / stepSize) * stepSize; rangeMax = Math.ceil(rangeMax / stepSize) * stepSize; if (rangeMax - rangeMin < stepSize * 3) { const midPoint = (rangeMax + rangeMin) / 2; rangeMin = Math.floor((midPoint - stepSize * 2) / stepSize) * stepSize; rangeMax = Math.ceil((midPoint + stepSize * 2) / stepSize) * stepSize; } const yAxis: number[] = []; for (let val = rangeMin; val <= rangeMax; val += stepSize) { yAxis.push(Math.round(val * 100) / 100); } return { yAxis, yRange: { min: rangeMin, max: rangeMax }, }; }; const renderLineGraph = () => { if (displayEmptyState) { return null; } const nonBloodPressureDataPoints: number[] = chronologicallySortedTrendMetrics?.map( (trendMetric) => trendMetric.value, ) ?? []; const nonBloodPressureGraphData: GraphData[] = [ { name: heading.charAt(0).toUpperCase() + heading.slice(1), color: "$color-secondary-e1", data: nonBloodPressureDataPoints, }, ]; const systolicDataPoints = chronologicallySortedTrendMetrics?.map( (trendMetric) => trendMetric.value, ) ?? []; const diastolicDataPoints = chronologicallySortedTrendMetrics?.map( (trendMetric) => trendMetric.value1 ?? null, ) ?? []; const bloodPressureGraphData: GraphData[] = [ { name: t("Systolic"), color: "$color-secondary-e1", data: systolicDataPoints, }, { name: t("Diastolic"), color: "$color-secondary-d1", data: diastolicDataPoints, }, ]; const graphData: GraphData[] = isBloodPressureMetric ? bloodPressureGraphData : nonBloodPressureGraphData; const xAxis = chronologicallySortedTrendMetrics?.map((trendMetric) => getDateStrByFormat(trendMetric.date, "MMM DD"), ) ?? []; const maxDataCount = 5; const displayedSystolicDataPoints = systolicDataPoints.slice(-maxDataCount); const displayedDiastolicDataPoints = diastolicDataPoints.slice(-maxDataCount); const displayedNonBPDataPoints = nonBloodPressureDataPoints.slice(-maxDataCount); const allDataPoints = isBloodPressureMetric ? [ ...displayedSystolicDataPoints, ...displayedDiastolicDataPoints.filter( (val) => val != null && val !== undefined && !isNaN(val), ), ] : displayedNonBPDataPoints; const { yAxis: yAxisNumeric, yRange } = calculateYAxisValues(allDataPoints); return ( <div className={`${baseCn}__line-graph`}> <LineChart title={lineChartTitle} subtitle="" xAxis={xAxis} yAxis={yAxisNumeric} graphData={graphData} maxDataCount={5} yRange={yRange} /> </div> ); }; if (displayEmptyState) { return ( <div className={`${baseCn}`}> <EmptyState message={t( "You’ll start seeing meaningful trends once more of your health information is available. Completing upcoming labs can help you get a clearer picture of your health.", )} textAlign="center" /> </div> ); } return ( <div className={`${baseCn}`}> {renderLineGraph()} {renderYourEffortsArePayingOff()} {renderMessageYourDoctorCard()} {!isWeightHealthMetric && ( <UnderstandingYourResults resultsInRangeTitle={resultsInRangeTitle} resultsInRangeDescription={resultsInRangeDescription} resultsOutOfRangeTitle={resultsOutOfRangeTitle} resultsOutOfRangeDescription={resultsOutOfRangeDescription} /> )} {healthMetricsTables.map((table) => ( <div key={table.title} className={`${baseCn}__health-metrics-table`} > <HealthMetricsTableComponent title={table.title} dataPoints={table.dataPoints} /> </div> ))} </div> ); }; export default ViewTrends;