2569718930@qq.com
788 lines
24 KiB
TypeScript
788 lines
24 KiB
TypeScript
"use client";
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import { ChartConfiguration } from "chart.js/auto";
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import clsx from "clsx";
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import { useChart } from "@/hooks/useChart";
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import { useCityData, useDashboardStore } from "@/hooks/useDashboardStore";
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import { useI18n } from "@/hooks/useI18n";
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import {
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CityDetail,
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MarketScan,
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MarketTopBucket,
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ProbabilityBucket,
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} from "@/lib/dashboard-types";
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import {
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getHeroMetaItems,
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getModelView,
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getProbabilityView,
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getRiskBadgeLabel,
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getTemperatureChartData,
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getWeatherSummary,
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parseAiAnalysis,
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} from "@/lib/dashboard-utils";
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function EmptyState({ text }: { text: string }) {
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return (
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<div style={{ color: "var(--text-muted)", fontSize: "13px" }}>{text}</div>
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);
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}
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function toPercent(value?: number | null) {
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const numeric = Number(value);
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if (!Number.isFinite(numeric)) return null;
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return `${(numeric * 100).toFixed(1)}%`;
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}
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function toPriceCents(value?: number | null) {
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const numeric = Number(value);
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if (!Number.isFinite(numeric)) return null;
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const normalized = numeric > 1 ? numeric / 100 : numeric;
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const cents = normalized * 100;
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const rounded = Math.round(cents * 10) / 10;
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const text = Number.isInteger(rounded)
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? String(rounded.toFixed(0))
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: String(rounded);
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return `${text}c`;
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}
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function parseTempFromText(value: unknown) {
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const text = String(value || "");
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const match = text.match(/(-?\d+(?:\.\d+)?)/);
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if (!match) return null;
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const numeric = Number(match[1]);
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return Number.isFinite(numeric) ? numeric : null;
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}
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function getBucketTemp(bucket: ProbabilityBucket) {
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const byValue = Number(bucket.value);
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if (Number.isFinite(byValue)) return byValue;
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return parseTempFromText(bucket.label || bucket.bucket || bucket.range);
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}
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function getMarketBucketTemp(scan?: MarketScan | null) {
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if (!scan) return null;
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const byBucketValue = Number(scan.temperature_bucket?.value);
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if (Number.isFinite(byBucketValue)) return byBucketValue;
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const byBucketLabel = parseTempFromText(
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scan.temperature_bucket?.label ||
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scan.temperature_bucket?.bucket ||
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scan.temperature_bucket?.range,
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);
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if (byBucketLabel != null) return byBucketLabel;
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const slug = String(scan.selected_slug || scan.primary_market?.slug || "");
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const slugMatch = slug.match(/-(-?\d+(?:\.\d+)?)c(?:$|[^a-z0-9])/i);
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if (slugMatch) {
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const numeric = Number(slugMatch[1]);
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if (Number.isFinite(numeric)) return numeric;
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}
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return parseTempFromText(scan.primary_market?.question);
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}
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function getMarketYesPrice(scan?: MarketScan | null) {
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const preferred = Number(scan?.market_price);
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if (Number.isFinite(preferred)) return preferred;
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const implied = Number(scan?.yes_token?.implied_probability);
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return Number.isFinite(implied) ? implied : null;
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}
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function getMarketNoPrice(scan?: MarketScan | null) {
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const direct = Number(scan?.no_buy);
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if (Number.isFinite(direct)) return direct;
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const marketYes = getMarketYesPrice(scan);
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if (marketYes != null) return Math.max(0, Math.min(1, 1 - marketYes));
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return null;
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}
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function normalizeMarketProbability(value?: number | null) {
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const numeric = Number(value);
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if (!Number.isFinite(numeric)) return null;
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if (numeric > 1) return Math.max(0, Math.min(1, numeric / 100));
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return Math.max(0, Math.min(1, numeric));
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}
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function getMarketTopBuckets(scan?: MarketScan | null) {
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const buckets = Array.isArray(scan?.top_buckets) ? scan.top_buckets : [];
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if (!buckets.length) return [];
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return buckets
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.map((item) => ({
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...item,
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probability: normalizeMarketProbability(item.probability),
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}))
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.filter(
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(item): item is MarketTopBucket & { probability: number } =>
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item.probability != null,
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);
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}
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export function HeroSummary() {
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const { data } = useCityData();
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const { locale } = useI18n();
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if (!data) return null;
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const { weatherIcon, weatherText } = getWeatherSummary(data, locale);
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const metaItems = getHeroMetaItems(data, locale);
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const current = data.current || {};
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const isMax =
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current.max_so_far != null &&
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current.temp != null &&
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current.max_so_far <= current.temp;
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return (
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<section className="hero-section">
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<div className="hero-weather">
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<span>
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{weatherIcon} {weatherText}
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</span>
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</div>
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<div className="hero-temp">
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<span className="hero-value">
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{current.temp != null ? current.temp.toFixed(1) : "--"}
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</span>
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<span className="hero-unit">{data.temp_symbol || "°C"}</span>
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</div>
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<div className="hero-max-time">
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{isMax && current.max_temp_time
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? locale === "en-US"
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? `Today's peak temperature appeared at local time ${current.max_temp_time}`
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: `该城市今日最高温出现在当地时间 ${current.max_temp_time}`
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: ""}
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</div>
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<div className="hero-details">
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<div className="hero-item">
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<span className="label">
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{locale === "en-US" ? "Current Obs" : "当前实测"}
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</span>
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<span className="value">
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{current.temp != null
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? `${current.temp}${data.temp_symbol} @${current.obs_time || "--"}`
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: "--"}
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</span>
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</div>
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<div className="hero-item">
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<span className="label">
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{locale === "en-US" ? "WU Settlement Ref" : "WU 结算参考"}
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</span>
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<span className="value highlight">
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{current.wu_settlement != null
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? `${current.wu_settlement}${data.temp_symbol}`
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: "--"}
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</span>
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</div>
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<div className="hero-item">
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<span className="label">
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{locale === "en-US" ? "DEB Forecast" : "DEB 预测"}
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</span>
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<span className="value">
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{data.deb?.prediction != null
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? `${data.deb.prediction}${data.temp_symbol}`
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: "--"}
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</span>
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</div>
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</div>
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<div className="hero-sub">
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{metaItems.map((item) => (
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<span key={item}>{item}</span>
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))}
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</div>
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</section>
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);
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}
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export function TemperatureChart() {
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const { data } = useCityData();
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const { locale, t } = useI18n();
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const chartData = data ? getTemperatureChartData(data, locale) : null;
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const canvasRef = useChart(() => {
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if (!data || !chartData) {
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return {
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data: { datasets: [], labels: [] },
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type: "line",
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} satisfies ChartConfiguration<"line">;
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}
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const datasets: NonNullable<
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ChartConfiguration<"line">["data"]
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>["datasets"] = [];
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if (chartData.datasets.hasMgmHourly) {
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datasets.push({
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backgroundColor: "rgba(234, 179, 8, 0.05)",
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borderColor: "rgba(234, 179, 8, 0.8)",
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borderWidth: 2,
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data: chartData.datasets.mgmHourlyPoints,
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fill: false,
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label: locale === "en-US" ? "MGM Forecast" : "MGM 预报",
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pointHoverRadius: 6,
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pointRadius: 3,
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spanGaps: true,
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tension: 0.3,
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});
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} else {
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datasets.push({
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backgroundColor: "rgba(52, 211, 153, 0.05)",
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borderColor: "rgba(52, 211, 153, 0.6)",
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borderWidth: 1.5,
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data: chartData.datasets.debPast,
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fill: true,
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label: locale === "en-US" ? "DEB Forecast" : "DEB 预报",
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pointHoverRadius: 3,
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pointRadius: 0,
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tension: 0.3,
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});
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datasets.push({
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borderColor: "rgba(52, 211, 153, 0.35)",
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borderDash: [5, 3],
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borderWidth: 1.5,
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data: chartData.datasets.debFuture,
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fill: false,
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label: locale === "en-US" ? "DEB Forecast" : "DEB 预报",
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pointRadius: 0,
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tension: 0.3,
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});
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}
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datasets.push({
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backgroundColor: "#22d3ee",
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borderColor: "#22d3ee",
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borderWidth: 0,
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data: chartData.datasets.metarPoints,
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fill: false,
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label: locale === "en-US" ? "METAR Observation" : "METAR 实测",
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order: 0,
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pointHoverRadius: 7,
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pointRadius: 5,
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});
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if (chartData.datasets.mgmPoints.some((value) => value != null)) {
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datasets.push({
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backgroundColor: "#facc15",
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borderColor: "#facc15",
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borderWidth: 0,
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data: chartData.datasets.mgmPoints,
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fill: false,
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label: locale === "en-US" ? "MGM Observation" : "MGM 实测",
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order: -1,
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pointHoverRadius: 9,
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pointRadius: 7,
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showLine: false,
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});
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}
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if (
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!chartData.datasets.hasMgmHourly &&
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Math.abs(chartData.datasets.offset) > 0.3
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) {
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datasets.push({
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borderColor: "rgba(99, 102, 241, 0.2)",
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borderDash: [2, 4],
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borderWidth: 1,
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data: chartData.datasets.temps,
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fill: false,
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label: locale === "en-US" ? "OM Raw" : "OM 原始",
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pointRadius: 0,
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tension: 0.3,
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});
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}
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return {
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data: {
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datasets,
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labels: chartData.times,
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},
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options: {
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interaction: { intersect: false, mode: "index" },
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maintainAspectRatio: false,
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plugins: {
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legend: { display: false },
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tooltip: {
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backgroundColor: "rgba(15, 23, 42, 0.9)",
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borderColor: "rgba(52, 211, 153, 0.3)",
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borderWidth: 1,
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},
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},
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responsive: true,
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scales: {
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x: {
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grid: { color: "rgba(255,255,255,0.04)" },
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ticks: {
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callback: (_value, index) =>
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typeof index === "number" && index % 3 === 0
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? chartData.times[index]
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: "",
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color: "#64748b",
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maxRotation: 0,
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},
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},
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y: {
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grid: { color: "rgba(255,255,255,0.04)" },
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max: chartData.max,
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min: chartData.min,
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ticks: {
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callback: (value) => `${value}${data.temp_symbol || "°C"}`,
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color: "#64748b",
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},
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},
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},
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},
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type: "line",
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} satisfies ChartConfiguration<"line">;
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}, [data, chartData, locale]);
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return (
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<section className="chart-section">
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<h3>{t("section.todayTempTrend")}</h3>
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<div className="chart-wrapper">
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<canvas ref={canvasRef} />
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</div>
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<div className="chart-legend">
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{chartData?.legendText || t("section.chartEmpty")}
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</div>
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</section>
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);
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}
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export function ProbabilityDistribution({
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detail,
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hideTitle = false,
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targetDate,
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marketScan,
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}: {
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detail: CityDetail;
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hideTitle?: boolean;
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targetDate?: string | null;
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marketScan?: MarketScan | null;
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}) {
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const { locale, t } = useI18n();
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const view = getProbabilityView(detail, targetDate);
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const marketBucketTemp = getMarketBucketTemp(marketScan);
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const marketYesPrice = getMarketYesPrice(marketScan);
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const marketNoPrice = getMarketNoPrice(marketScan);
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const marketYesText = toPercent(marketYesPrice);
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const marketNoText = toPercent(marketNoPrice);
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const isToday = !targetDate || targetDate === detail.local_date;
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const marketTopBuckets = isToday ? getMarketTopBuckets(marketScan) : [];
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const sortedMarketTopBuckets = [...marketTopBuckets]
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.sort((a, b) => Number(b.probability || 0) - Number(a.probability || 0))
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.slice(0, 4);
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const useMarketTopBuckets =
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marketScan?.available && sortedMarketTopBuckets.length > 0;
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const topMarketBucketText = toPercent(sortedMarketTopBuckets[0]?.probability);
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return (
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<section className="prob-section">
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{!hideTitle && <h3>{t("section.probability")}</h3>}
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<div className="prob-bars">
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{view.mu != null && (
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<div
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style={{
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color: "var(--text-muted)",
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fontSize: "11px",
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marginBottom: "6px",
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}}
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>
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{t("section.mu", {
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unit: detail.temp_symbol || "",
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value: view.mu.toFixed(1),
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})}
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</div>
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)}
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{marketScan?.available && (topMarketBucketText || marketYesText) && (
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<div
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style={{
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color: "var(--text-secondary)",
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fontSize: "11px",
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marginBottom: "6px",
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}}
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>
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{useMarketTopBuckets
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? locale === "en-US"
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? `Market top-4 buckets (top): ${topMarketBucketText}`
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: `市场概率（前4温度桶）：最高 ${topMarketBucketText}`
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: locale === "en-US"
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? `Market probability (this bucket): ${marketYesText}`
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: `市场概率（该温度桶）: ${marketYesText}`}
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</div>
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)}
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{useMarketTopBuckets ? (
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sortedMarketTopBuckets.map((bucket, index) => {
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const probability = Math.round(
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Number(bucket.probability || 0) * 100,
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);
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let bucketLabel =
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bucket.label ||
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(bucket.value != null
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? `${bucket.value}${detail.temp_symbol}`
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: `${bucket.temp ?? "--"}${detail.temp_symbol}`);
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if (bucketLabel) {
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let str = String(bucketLabel).toUpperCase().replace(/\s+/g, "");
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str = str.replace(/°?C($|\+|-)/g, "℃$1");
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if (!str.includes("℃") && /[0-9]/.test(str)) {
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str += "℃";
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}
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bucketLabel = str;
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}
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const buyYesText = toPriceCents(
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bucket.yes_buy ?? bucket.market_price ?? bucket.probability,
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);
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const buyNoText = toPriceCents(bucket.no_buy);
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const marketTag = buyYesText
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? locale === "en-US"
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? `Buy Yes: ${buyYesText}`
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: `买 Yes: ${buyYesText}`
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: buyNoText
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? locale === "en-US"
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? `Buy No: ${buyNoText}`
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: `买 No: ${buyNoText}`
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: null;
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return (
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<div
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key={`${bucket.slug || bucket.label || index}`}
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className="prob-row"
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>
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<div className="prob-label">{bucketLabel}</div>
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<div className="prob-bar-track">
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<div
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className={clsx("prob-bar-fill", `rank-${index}`)}
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style={{ width: `${Math.max(probability, 8)}%` }}
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>
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{probability}%
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</div>
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</div>
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{marketTag && (
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<div className={clsx("prob-market-inline", "yes")}>
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{marketTag}
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</div>
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)}
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</div>
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);
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})
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) : view.probabilities.length === 0 ? (
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<EmptyState text={t("section.noProb")} />
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) : (
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view.probabilities.slice(0, 6).map((bucket, index) => {
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const probability = Math.round(
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Number(bucket.probability || 0) * 100,
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);
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const bucketTemp = getBucketTemp(bucket);
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const isMarketBucket =
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marketYesText != null &&
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marketBucketTemp != null &&
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bucketTemp != null &&
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Math.abs(bucketTemp - marketBucketTemp) < 0.26;
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const marketTag = isMarketBucket
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? locale === "en-US"
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? `Buy Yes: ${marketYesText || "--"}`
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: `买 Yes: ${marketYesText || "--"}`
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: marketNoText
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? locale === "en-US"
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? `Buy No: ${marketNoText}`
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: `买 No: ${marketNoText}`
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: null;
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const yesPriceText = toPriceCents(marketYesPrice);
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const noPriceText = toPriceCents(marketNoPrice);
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const marketTagFinal = isMarketBucket
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? locale === "en-US"
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? `Buy Yes: ${yesPriceText || "--"}`
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: `买 Yes: ${yesPriceText || "--"}`
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: noPriceText
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? locale === "en-US"
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? `Buy No: ${noPriceText}`
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: `买 No: ${noPriceText}`
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: marketTag;
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let bucketLabel =
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bucket.label || `${bucket.value}${detail.temp_symbol}`;
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if (bucketLabel) {
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let str = String(bucketLabel).toUpperCase().replace(/\s+/g, "");
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str = str.replace(/°?C($|\+|-)/g, "℃$1");
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if (!str.includes("℃") && /[0-9]/.test(str)) {
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str += "℃";
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}
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bucketLabel = str;
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}
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return (
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<div
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|
key={`${bucket.label || bucket.value || index}`}
|
|
className="prob-row"
|
|
>
|
|
<div className="prob-label">{bucketLabel}</div>
|
|
<div className="prob-bar-track">
|
|
<div
|
|
className={clsx("prob-bar-fill", `rank-${index}`)}
|
|
style={{ width: `${Math.max(probability, 8)}%` }}
|
|
>
|
|
{probability}%
|
|
</div>
|
|
</div>
|
|
{marketTagFinal && (
|
|
<div
|
|
className={clsx(
|
|
"prob-market-inline",
|
|
isMarketBucket ? "yes" : "no",
|
|
)}
|
|
>
|
|
{marketTagFinal}
|
|
</div>
|
|
)}
|
|
</div>
|
|
);
|
|
})
|
|
)}
|
|
</div>
|
|
</section>
|
|
);
|
|
}
|
|
|
|
export function ModelForecast({
|
|
detail,
|
|
hideTitle = false,
|
|
targetDate,
|
|
}: {
|
|
detail: CityDetail;
|
|
hideTitle?: boolean;
|
|
targetDate?: string | null;
|
|
}) {
|
|
const { locale, t } = useI18n();
|
|
const view = getModelView(detail, targetDate);
|
|
const fallbackMeteoblue = detail.source_forecasts?.meteoblue?.today_high;
|
|
const modelsMap = { ...view.models };
|
|
|
|
// 强行插入 Meteoblue，防止 helper 函数或日期对齐导致其被剔除
|
|
if (
|
|
modelsMap["Meteoblue"] == null &&
|
|
fallbackMeteoblue != null &&
|
|
(!targetDate || targetDate === detail.local_date)
|
|
) {
|
|
modelsMap["Meteoblue"] = fallbackMeteoblue;
|
|
}
|
|
|
|
const modelEntries = Object.entries(modelsMap).filter(
|
|
([, value]) =>
|
|
value !== null && value !== undefined && Number.isFinite(Number(value)),
|
|
);
|
|
|
|
// 如果没有任何数值，给出提示
|
|
if (modelEntries.length === 0) {
|
|
return (
|
|
<section className="models-section">
|
|
{!hideTitle && <h3>{t("section.models")}</h3>}
|
|
<div className="model-bars">
|
|
<EmptyState text={t("section.noModels")} />
|
|
</div>
|
|
</section>
|
|
);
|
|
}
|
|
|
|
const numericValues = modelEntries.map(([, value]) => Number(value));
|
|
const comparisonValues =
|
|
view.deb != null ? [...numericValues, Number(view.deb)] : numericValues;
|
|
const minValue = comparisonValues.length
|
|
? Math.min(...comparisonValues) - 1
|
|
: 0;
|
|
const maxValue = comparisonValues.length
|
|
? Math.max(...comparisonValues) + 1
|
|
: 1;
|
|
const range = Math.max(maxValue - minValue, 1);
|
|
const getModelDisplayName = (name: string) => {
|
|
if (String(name).trim().toLowerCase() === "meteoblue") {
|
|
return "Meteoblue";
|
|
}
|
|
return name;
|
|
};
|
|
|
|
return (
|
|
<section className="models-section">
|
|
{!hideTitle && <h3>{t("section.models")}</h3>}
|
|
<div className="model-bars">
|
|
{modelEntries
|
|
.sort((a, b) => Number(b[1] || 0) - Number(a[1] || 0))
|
|
.map(([name, value]) => {
|
|
const numeric = Number(value);
|
|
const width = ((numeric - minValue) / range) * 100;
|
|
const debLine =
|
|
view.deb != null
|
|
? ((Number(view.deb) - minValue) / range) * 100
|
|
: null;
|
|
|
|
return (
|
|
<div key={name} className="model-row">
|
|
<div className="model-name" title={name}>
|
|
{getModelDisplayName(name)}
|
|
</div>
|
|
<div className="model-bar-track">
|
|
<div
|
|
className="model-bar-fill"
|
|
style={{ width: `${width}%` }}
|
|
>
|
|
{numeric}
|
|
{detail.temp_symbol}
|
|
</div>
|
|
{debLine != null && (
|
|
<div
|
|
className="model-deb-line"
|
|
style={{ left: `${debLine}%` }}
|
|
/>
|
|
)}
|
|
</div>
|
|
</div>
|
|
);
|
|
})}
|
|
{view.deb != null && (
|
|
<div
|
|
className="model-row"
|
|
style={{
|
|
borderTop: "1px solid rgba(255,255,255,0.06)",
|
|
marginTop: "6px",
|
|
paddingTop: "6px",
|
|
}}
|
|
>
|
|
<div
|
|
className="model-name"
|
|
style={{ color: "var(--accent-cyan)", fontWeight: 700 }}
|
|
>
|
|
DEB
|
|
</div>
|
|
<div className="model-bar-track">
|
|
<div
|
|
className="model-bar-fill deb"
|
|
style={{
|
|
width: `${((Number(view.deb) - minValue) / range) * 100}%`,
|
|
}}
|
|
>
|
|
{Number(view.deb)}
|
|
{detail.temp_symbol}
|
|
</div>
|
|
</div>
|
|
</div>
|
|
)}
|
|
</div>
|
|
</section>
|
|
);
|
|
}
|
|
|
|
export function ForecastTable() {
|
|
const store = useDashboardStore();
|
|
const { data } = useCityData();
|
|
const { t } = useI18n();
|
|
if (!data) return null;
|
|
|
|
const daily = data.forecast?.daily || [];
|
|
return (
|
|
<section className="forecast-section">
|
|
<h3>{t("forecast.title")}</h3>
|
|
<div className="forecast-table">
|
|
{daily.length === 0 ? (
|
|
<EmptyState text={t("forecast.empty")} />
|
|
) : (
|
|
daily.map((day, index) => {
|
|
const isToday = day.date === data.local_date || index === 0;
|
|
const isSelected =
|
|
store.futureModalDate === day.date ||
|
|
store.selectedForecastDate === day.date;
|
|
return (
|
|
<button
|
|
key={day.date}
|
|
type="button"
|
|
className={clsx(
|
|
"forecast-day",
|
|
isToday && "today",
|
|
isSelected && "selected",
|
|
)}
|
|
onClick={() => {
|
|
store.openFutureModal(day.date);
|
|
}}
|
|
>
|
|
<div className="f-date">
|
|
{isToday
|
|
? t("forecast.today")
|
|
: day.date.substring(5).replace("-", "/")}
|
|
</div>
|
|
<div className="f-temp">
|
|
{day.max_temp}
|
|
{data.temp_symbol}
|
|
</div>
|
|
</button>
|
|
);
|
|
})
|
|
)}
|
|
</div>
|
|
</section>
|
|
);
|
|
}
|
|
|
|
export function AiAnalysis() {
|
|
const { data } = useCityData();
|
|
const { t } = useI18n();
|
|
if (!data) return null;
|
|
const ai = parseAiAnalysis(data.ai_analysis);
|
|
|
|
return (
|
|
<section className="ai-section">
|
|
<h3>{t("section.ai")}</h3>
|
|
<div className="ai-box">
|
|
{!ai.summary && ai.bullets.length === 0 ? (
|
|
<span className="ai-placeholder">{t("section.aiEmpty")}</span>
|
|
) : (
|
|
<>
|
|
{ai.summary && <div className="ai-summary">{ai.summary}</div>}
|
|
{ai.bullets.length > 0 && (
|
|
<ul className="ai-list">
|
|
{ai.bullets.map((item) => (
|
|
<li key={item}>{item}</li>
|
|
))}
|
|
</ul>
|
|
)}
|
|
</>
|
|
)}
|
|
</div>
|
|
</section>
|
|
);
|
|
}
|
|
|
|
export function RiskInfo() {
|
|
const { data } = useCityData();
|
|
const { t } = useI18n();
|
|
if (!data) return null;
|
|
const risk = data.risk || {};
|
|
|
|
return (
|
|
<section className="risk-section">
|
|
<h3>{t("section.risk")}</h3>
|
|
<div className="risk-info">
|
|
{!risk.airport ? (
|
|
<span style={{ color: "var(--text-muted)" }}>
|
|
{t("section.noRiskProfile")}
|
|
</span>
|
|
) : (
|
|
<>
|
|
<div className="risk-row">
|
|
<span className="risk-label">{t("section.airport")}</span>
|
|
<span>
|
|
{risk.airport} ({risk.icao})
|
|
</span>
|
|
</div>
|
|
<div className="risk-row">
|
|
<span className="risk-label">{t("section.distance")}</span>
|
|
<span>{risk.distance_km}km</span>
|
|
</div>
|
|
{risk.warning && (
|
|
<div className="risk-row">
|
|
<span className="risk-label">{t("section.note")}</span>
|
|
<span>{risk.warning}</span>
|
|
</div>
|
|
)}
|
|
</>
|
|
)}
|
|
</div>
|
|
</section>
|
|
);
|
|
}
|