Files
PolyWeather/frontend/components/dashboard/scan-terminal/AiCityTemperatureChart.tsx
T
2569718930@qq.com 2e5bdfd1b6 Defer heavy city card rendering until users need it
City decision cards rendered Chart.js canvases and AI evidence bodies before the user could see or expand those sections. This keeps the card shell visible while delaying chart data/canvas work until the section nears the viewport and skipping the AI evidence body while its details panel is collapsed.

Constraint: Preserve existing decision-card layout and evidence copy.

Rejected: Add list virtualization in the same pass | card-level render costs should be reduced before changing list mechanics.

Confidence: high

Scope-risk: narrow

Reversibility: clean

Tested: npm run build

Not-tested: Runtime scroll benchmark on a large production city set.
2026-04-28 11:10:12 +08:00

236 lines
7.6 KiB
TypeScript

import type { ChartConfiguration } from "chart.js";
import { useEffect, useMemo, useRef, useState } from "react";
import { BarChart3 } from "lucide-react";
import type { CityDetail } from "@/lib/dashboard-types";
import { useChart } from "@/hooks/useChart";
import { useI18n } from "@/hooks/useI18n";
import { getTemperatureChartData } from "@/lib/dashboard-utils";
type TemperatureChartData = NonNullable<ReturnType<typeof getTemperatureChartData>>;
function compactSeries<T extends { time?: string | null; temp?: number | null }>(
rows?: T[] | null,
) {
return (Array.isArray(rows) ? rows : [])
.map((row) => `${String(row?.time || "").trim()}=${Number(row?.temp)}`)
.join("|");
}
function buildTemperatureChartSignature(detail: CityDetail) {
const hourly = detail.hourly || {};
const mgmHourly = Array.isArray(detail.mgm?.hourly) ? detail.mgm?.hourly || [] : [];
const tafMarkers = Array.isArray(detail.taf?.signal?.markers)
? detail.taf?.signal?.markers || []
: [];
return [
detail.name,
detail.local_date,
detail.temp_symbol,
(hourly.times || []).join("|"),
(hourly.temps || []).map((value) => Number(value)).join("|"),
detail.forecast?.today_high ?? "",
detail.deb?.prediction ?? "",
detail.mgm?.temp ?? "",
detail.mgm?.time ?? "",
mgmHourly
.map((row) => `${String(row?.time || "").trim()}=${Number(row?.temp)}`)
.join("|"),
compactSeries(detail.metar_today_obs),
compactSeries(detail.settlement_today_obs),
compactSeries(detail.trend?.recent),
detail.current?.temp ?? "",
detail.current?.obs_time ?? "",
detail.airport_current?.temp ?? "",
detail.airport_current?.obs_time ?? "",
detail.peak?.first_h ?? "",
detail.peak?.last_h ?? "",
tafMarkers
.map((marker) =>
[
marker?.marker_type,
marker?.label_time,
marker?.start_local,
marker?.end_local,
marker?.summary_zh,
marker?.summary_en,
]
.map((value) => String(value || "").trim())
.join("="),
)
.join("|"),
].join("::");
}
export function AiCityTemperatureChart({ detail }: { detail: CityDetail }) {
const { locale } = useI18n();
const sectionRef = useRef<HTMLElement | null>(null);
const [shouldRenderChart, setShouldRenderChart] = useState(false);
const cityKey = `${detail.name || detail.display_name || ""}:${detail.local_date || ""}`;
const chartSignature = useMemo(
() => (shouldRenderChart ? buildTemperatureChartSignature(detail) : ""),
[detail, shouldRenderChart],
);
const computedChartData = useMemo(
() => (shouldRenderChart ? getTemperatureChartData(detail, locale) : null),
[chartSignature, detail, locale, shouldRenderChart],
);
const lastChartDataRef = useRef<{
cityKey: string;
data: TemperatureChartData;
} | null>(null);
if (computedChartData) {
lastChartDataRef.current = { cityKey, data: computedChartData };
}
const chartData =
computedChartData ||
(lastChartDataRef.current?.cityKey === cityKey
? lastChartDataRef.current.data
: null);
const forecastLabel = chartData?.datasets.hasMgmHourly
? locale === "en-US"
? "MGM forecast"
: "MGM 预测"
: locale === "en-US"
? "DEB forecast"
: "DEB 预测";
const observationLabel =
chartData?.observationLabel ||
(locale === "en-US" ? "METAR obs" : "METAR 实况");
const canvasRef = useChart(() => {
if (!chartData) {
return {
data: { datasets: [], labels: [] },
type: "line",
} satisfies ChartConfiguration<"line">;
}
const forecastPoints = chartData.datasets.hasMgmHourly
? chartData.datasets.mgmHourlyPoints
: chartData.datasets.debPast.map(
(value, index) => value ?? chartData.datasets.debFuture[index],
);
return {
data: {
datasets: [
{
borderColor: "#4DA3FF",
borderWidth: 2,
data: forecastPoints,
fill: false,
label: forecastLabel,
pointRadius: 0,
spanGaps: true,
tension: 0.32,
},
{
backgroundColor: "#22C55E",
borderColor: "#22C55E",
borderWidth: 0,
data: chartData.datasets.metarPoints,
fill: false,
label: observationLabel,
pointHoverRadius: 5,
pointRadius: 3.5,
showLine: false,
},
],
labels: chartData.times,
},
options: {
animation: false,
interaction: { intersect: false, mode: "index" },
layout: { padding: { bottom: 2, left: 0, right: 8, top: 8 } },
maintainAspectRatio: false,
plugins: {
legend: { display: false },
tooltip: {
backgroundColor: "rgba(11, 18, 32, 0.96)",
borderColor: "rgba(77, 163, 255, 0.38)",
borderWidth: 1,
},
},
responsive: true,
scales: {
x: {
grid: { color: "rgba(159, 178, 199, 0.08)" },
ticks: {
callback: (_value, index) =>
typeof index === "number" && index % 4 === 0
? chartData.times[index]
: "",
color: "#6B7A90",
font: { size: 10 },
maxTicksLimit: 6,
maxRotation: 0,
},
},
y: {
grid: { color: "rgba(159, 178, 199, 0.08)" },
max: chartData.max,
min: chartData.min,
ticks: {
callback: (value) =>
`${Number(value).toFixed(chartData.yTickStep < 1 ? 1 : 0)}${detail.temp_symbol || "°C"}`,
color: "#6B7A90",
font: { size: 10 },
maxTicksLimit: 5,
stepSize: chartData.yTickStep,
},
},
},
transitions: {
active: { animation: { duration: 0 } },
hide: { animation: { duration: 0 } },
resize: { animation: { duration: 0 } },
show: { animation: { duration: 0 } },
},
},
type: "line",
} satisfies ChartConfiguration<"line">;
}, [chartData, detail.temp_symbol, forecastLabel, observationLabel]);
useEffect(() => {
if (shouldRenderChart) return;
if (typeof window === "undefined" || !("IntersectionObserver" in window)) {
setShouldRenderChart(true);
return;
}
const target = sectionRef.current;
if (!target) return;
const observer = new IntersectionObserver(
(entries) => {
if (!entries.some((entry) => entry.isIntersecting)) return;
setShouldRenderChart(true);
observer.disconnect();
},
{ rootMargin: "220px 0px" },
);
observer.observe(target);
return () => observer.disconnect();
}, [shouldRenderChart]);
return (
<section className="scan-ai-city-section chart" ref={sectionRef}>
<div className="scan-ai-city-section-title">
<BarChart3 size={15} />
<span>{locale === "en-US" ? "Evidence · intraday path" : "证据 · 今日日内路径"}</span>
</div>
<div className="scan-ai-city-chart">
{shouldRenderChart ? (
<canvas ref={canvasRef} />
) : (
<div className="scan-ai-city-chart-placeholder">
{locale === "en-US" ? "Chart will render when visible" : "图表进入视口后再渲染"}
</div>
)}
</div>
{chartData ? (
<div className="scan-ai-city-chart-legend">
<span><i className="forecast" />{forecastLabel}</span>
<span><i className="observation" />{observationLabel}</span>
</div>
) : null}
</section>
);
}