feat: Implement the PolyWeather dashboard including frontend components, data collection, analysis, and API endpoints.
This commit is contained in:
2569718930@qq.com
+412
-168
@@ -1,55 +1,112 @@
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import { AiAnalysisStructured, CityDetail, HistoryPoint, NearbyStation } from "@/lib/dashboard-types";
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import { Locale } from "@/lib/i18n";
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import {
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AiAnalysisStructured,
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CityDetail,
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HistoryPoint,
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NearbyStation,
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} from "@/lib/dashboard-types";
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const METAR_WX_MAP: Record<string, { label: string; icon: string }> = {
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RA: { label: "降雨", icon: "🌧️" },
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"-RA": { label: "小雨", icon: "🌦️" },
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"+RA": { label: "强降雨", icon: "⛈️" },
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SN: { label: "降雪", icon: "❄️" },
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"-SN": { label: "小雪", icon: "🌨️" },
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"+SN": { label: "大雪", icon: "🌨️" },
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DZ: { label: "毛毛雨", icon: "🌦️" },
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FG: { label: "雾", icon: "🌫️" },
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BR: { label: "薄雾", icon: "🌫️" },
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HZ: { label: "霾", icon: "🌫️" },
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TS: { label: "雷暴", icon: "⛈️" },
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VCTS: { label: "附近雷暴", icon: "⛈️" },
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SQ: { label: "飑线", icon: "💨" },
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GS: { label: "冰雹", icon: "🌨️" },
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const METAR_WX_MAP: Record<
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string,
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{ en: string; icon: string; zh: string }
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> = {
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RA: { en: "Rain", icon: "🌧️", zh: "降雨" },
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"-RA": { en: "Light rain", icon: "🌦️", zh: "小雨" },
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"+RA": { en: "Heavy rain", icon: "⛈️", zh: "强降雨" },
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SN: { en: "Snow", icon: "❄️", zh: "降雪" },
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"-SN": { en: "Light snow", icon: "🌨️", zh: "小雪" },
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"+SN": { en: "Heavy snow", icon: "🌨️", zh: "大雪" },
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DZ: { en: "Drizzle", icon: "🌦️", zh: "毛毛雨" },
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FG: { en: "Fog", icon: "🌫️", zh: "雾" },
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BR: { en: "Mist", icon: "🌫️", zh: "薄雾" },
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HZ: { en: "Haze", icon: "🌫️", zh: "霾" },
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TS: { en: "Thunderstorm", icon: "⛈️", zh: "雷暴" },
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VCTS: { en: "Nearby thunderstorm", icon: "⛈️", zh: "附近雷暴" },
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SQ: { en: "Squall", icon: "💨", zh: "飑线" },
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GS: { en: "Hail", icon: "🌨️", zh: "冰雹" },
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};
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export function translateMetar(code?: string | null) {
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if (!code) return null;
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for (const [key, value] of Object.entries(METAR_WX_MAP)) {
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if (String(code).includes(key)) return value;
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}
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return { label: code, icon: "🌤️" };
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function isEnglish(locale: Locale) {
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return locale === "en-US";
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}
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export function getRiskBadgeLabel(level?: string | null) {
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function normalizeCloudSummary(
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cloudDesc: string | null | undefined,
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locale: Locale,
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): { icon: string; text: string } {
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const raw = String(cloudDesc || "").trim();
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if (!raw) {
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return { icon: "🔍", text: isEnglish(locale) ? "Unknown" : "未知" };
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}
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const lower = raw.toLowerCase();
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if (
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raw.includes("晴") ||
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raw.includes("晴朗") ||
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lower.includes("clear") ||
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lower.includes("sunny")
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) {
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return { icon: "☀️", text: isEnglish(locale) ? "Clear" : "晴朗" };
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}
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if (raw.includes("阴") || lower.includes("overcast")) {
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return { icon: "☁️", text: isEnglish(locale) ? "Overcast" : "阴天" };
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}
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if (raw.includes("多云") || lower.includes("cloud")) {
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return { icon: "☁️", text: isEnglish(locale) ? "Cloudy" : "多云" };
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}
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if (raw.includes("少云") || lower.includes("few")) {
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return { icon: "🌤️", text: isEnglish(locale) ? "Mostly clear" : "少云" };
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}
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if (raw.includes("散云") || lower.includes("scattered")) {
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return { icon: "⛅", text: isEnglish(locale) ? "Partly cloudy" : "散云" };
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}
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return { icon: "🔍", text: raw };
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}
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export function translateMetar(code?: string | null, locale: Locale = "zh-CN") {
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if (!code) return null;
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const metarCode = String(code);
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for (const [key, value] of Object.entries(METAR_WX_MAP)) {
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if (metarCode.includes(key)) {
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return {
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icon: value.icon,
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label: isEnglish(locale) ? value.en : value.zh,
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};
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}
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}
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return { icon: "🔍", label: metarCode };
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}
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export function getRiskBadgeLabel(
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level?: string | null,
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locale: Locale = "zh-CN",
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) {
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if (isEnglish(locale)) {
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return (
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{
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high: "🔴 High Risk",
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low: "🟢 Low Risk",
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medium: "🟠 Medium Risk",
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}[String(level || "low")] || "Unknown Risk"
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);
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}
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return (
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{
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high: "🔴 高风险",
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medium: "🟠 中风险",
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low: "🟢 低风险",
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medium: "🟠 中风险",
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}[String(level || "low")] || "未知风险"
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);
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}
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export function getWeatherSummary(detail: CityDetail) {
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export function getWeatherSummary(detail: CityDetail, locale: Locale = "zh-CN") {
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const current = detail.current || {};
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let weatherText = current.cloud_desc || "未知";
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let weatherIcon =
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{
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多云: "☁️",
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阴天: "☁️",
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少云: "🌤️",
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散云: "⛅",
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晴: "☀️",
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晴朗: "☀️",
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}[String(current.cloud_desc || "")] || "🌤️";
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const cloud = normalizeCloudSummary(current.cloud_desc, locale);
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let weatherText = cloud.text;
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let weatherIcon = cloud.icon;
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if (current.wx_desc) {
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const translated = translateMetar(current.wx_desc);
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const translated = translateMetar(current.wx_desc, locale);
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if (translated) {
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weatherText = translated.label;
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weatherIcon = translated.icon;
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@@ -59,25 +116,28 @@ export function getWeatherSummary(detail: CityDetail) {
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return { weatherIcon, weatherText };
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}
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export function getHeroMetaItems(detail: CityDetail) {
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export function getHeroMetaItems(detail: CityDetail, locale: Locale = "zh-CN") {
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const current = detail.current || {};
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const parts: string[] = [];
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if (current.obs_time) {
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const ageText =
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current.obs_age_min != null && current.obs_age_min >= 30
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? `（${current.obs_age_min} 分钟前）`
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? isEnglish(locale)
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? ` (${current.obs_age_min} min ago)`
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: `（${current.obs_age_min} 分钟前）`
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: "";
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parts.push(`✈️ METAR ${current.obs_time}${ageText}`);
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}
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if (current.wx_desc) {
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const translated = translateMetar(current.wx_desc);
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const translated = translateMetar(current.wx_desc, locale);
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if (translated) {
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parts.push(`${translated.icon} ${translated.label}`);
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}
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} else if (current.cloud_desc) {
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parts.push(`☁️ ${current.cloud_desc}`);
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const cloud = normalizeCloudSummary(current.cloud_desc, locale);
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parts.push(`${cloud.icon} ${cloud.text}`);
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}
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if (current.wind_speed_kt != null) {
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@@ -91,26 +151,40 @@ export function getHeroMetaItems(detail: CityDetail) {
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if (detail.mgm?.temp != null) {
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const timeMatch = detail.mgm.time?.match(/T?(\d{2}:\d{2})/);
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const timeText = timeMatch ? ` @${timeMatch[1]}` : "";
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parts.push(`📡 MGM 实测: ${detail.mgm.temp}${detail.temp_symbol}${timeText}`);
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parts.push(
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isEnglish(locale)
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? `🛰 MGM Obs: ${detail.mgm.temp}${detail.temp_symbol}${timeText}`
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: `🛰 MGM 实测: ${detail.mgm.temp}${detail.temp_symbol}${timeText}`,
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);
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}
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const trend = detail.trend || {};
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if (trend.is_dead_market) {
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parts.push("☠️ 死盘");
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parts.push(isEnglish(locale) ? "☠️ Flat market" : "☠️ 死盘");
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} else if (trend.direction && trend.direction !== "unknown") {
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const labels: Record<string, string> = {
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rising: "📈 升温中",
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falling: "📉 降温中",
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stagnant: "⏸️ 持平",
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mixed: "📊 波动中",
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};
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const labels: Record<string, string> = isEnglish(locale)
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? {
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falling: "📉 Cooling",
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mixed: "📊 Choppy",
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rising: "📈 Warming",
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stagnant: "⏸ Flat",
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}
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: {
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falling: "📉 降温中",
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mixed: "📊 波动中",
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rising: "📈 升温中",
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stagnant: "⏸ 持平",
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};
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parts.push(labels[trend.direction] || trend.direction);
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}
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return parts;
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}
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export function getTemperatureChartData(detail: CityDetail) {
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export function getTemperatureChartData(
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detail: CityDetail,
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locale: Locale = "zh-CN",
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) {
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const hourly = detail.hourly || {};
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const times = hourly.times || [];
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const temps = hourly.temps || [];
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@@ -199,10 +273,18 @@ export function getTemperatureChartData(detail: CityDetail) {
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}
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if (!hasMgmHourly && debMax != null && omMax != null && Math.abs(offset) > 0.3) {
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const sign = offset > 0 ? "+" : "";
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legendParts.push(`DEB 偏移 ${sign}${offset.toFixed(1)}${detail.temp_symbol} vs OM`);
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legendParts.push(
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isEnglish(locale)
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? `DEB offset ${sign}${offset.toFixed(1)}${detail.temp_symbol} vs OM`
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: `DEB 偏移 ${sign}${offset.toFixed(1)}${detail.temp_symbol} vs OM`,
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);
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}
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if (hasMgmHourly) {
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legendParts.push("已使用 MGM 小时预报替代 DEB 曲线");
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legendParts.push(
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isEnglish(locale)
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? "Using MGM hourly forecast to replace DEB curve"
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: "已使用 MGM 小时预报替代 DEB 曲线",
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);
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}
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if (detail.trend?.recent?.length) {
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const recentText = [...detail.trend.recent]
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@@ -354,7 +436,17 @@ function trendBucketFromDir(direction?: number | null) {
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return "westerly";
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}
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function bucketLabel(bucket: string | null) {
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function bucketLabel(bucket: string | null, locale: Locale = "zh-CN") {
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if (isEnglish(locale)) {
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return (
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{
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southerly: "S / SW wind",
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northerly: "N / NW wind",
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easterly: "E wind",
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westerly: "W wind",
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}[bucket || ""] || "Unknown wind direction"
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);
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}
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return (
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{
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southerly: "南 / 西南风",
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@@ -365,6 +457,14 @@ function bucketLabel(bucket: string | null) {
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);
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}
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export function wuRound(value: number | null | undefined) {
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const numeric = Number(value);
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if (!Number.isFinite(numeric)) return null;
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return numeric >= 0
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? Math.floor(numeric + 0.5)
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: Math.ceil(numeric - 0.5);
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}
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export function formatDelta(value: number | null | undefined, suffix = "") {
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const numeric = Number(value);
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if (!Number.isFinite(numeric)) return "--";
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@@ -379,7 +479,11 @@ function getForecastTextForDate(detail: CityDetail, dateStr: string) {
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);
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}
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export function computeFrontTrendSignal(detail: CityDetail, dateStr: string) {
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export function computeFrontTrendSignal(
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detail: CityDetail,
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dateStr: string,
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locale: Locale = "zh-CN",
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) {
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const slice = getFutureSlice(detail, dateStr);
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const currentTemp = Number(detail.current?.temp);
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const currentDew = Number(detail.current?.dewpoint);
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@@ -387,7 +491,7 @@ export function computeFrontTrendSignal(detail: CityDetail, dateStr: string) {
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if (!slice.length) {
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return {
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confidence: "low",
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label: "监控中",
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label: isEnglish(locale) ? "Monitoring" : "监控中",
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metrics: [] as Array<{
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label: string;
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note: string;
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@@ -396,7 +500,9 @@ export function computeFrontTrendSignal(detail: CityDetail, dateStr: string) {
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}>,
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precipMax: 0,
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score: 0,
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summary: "未来 48 小时结构化数据不足，暂时只保留基础监控。",
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summary: isEnglish(locale)
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? "Insufficient 48h structured data. Keep baseline monitoring."
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: "未来 48 小时结构化数据不足，暂时只保留基础监控。",
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weatherGovPeriods: [] as ReturnType<typeof getForecastTextForDate>,
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};
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}
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@@ -480,12 +586,14 @@ export function computeFrontTrendSignal(detail: CityDetail, dateStr: string) {
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}
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const score = Math.max(-100, Math.min(100, warmScore - coldScore));
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const label =
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score >= 18
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? "暖平流 / 暖锋倾向"
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: score <= -18
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? "冷平流 / 冷锋倾向"
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: "监控中";
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const warmLabel = isEnglish(locale)
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? "Warm advection / warm-front tendency"
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: "暖平流 / 暖锋倾向";
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const coldLabel = isEnglish(locale)
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? "Cold advection / cold-front tendency"
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: "冷平流 / 冷锋倾向";
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const monitorLabel = isEnglish(locale) ? "Monitoring" : "监控中";
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const label = score >= 18 ? warmLabel : score <= -18 ? coldLabel : monitorLabel;
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const confidence =
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Math.abs(score) >= 45 ? "high" : Math.abs(score) >= 22 ? "medium" : "low";
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@@ -494,37 +602,47 @@ export function computeFrontTrendSignal(detail: CityDetail, dateStr: string) {
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label,
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metrics: [
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{
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label: "温度变化",
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note: "Open-Meteo 未来小时温度变化",
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label: isEnglish(locale) ? "Temperature delta" : "温度变化",
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note: isEnglish(locale)
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? "Open-Meteo upcoming hourly temperature change"
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: "Open-Meteo 未来小时温度变化",
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tone: tempDelta >= 0.8 ? "warm" : tempDelta <= -0.8 ? "cold" : "",
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value: formatDelta(tempDelta, detail.temp_symbol),
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},
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{
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label: "露点变化",
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note: "露点上升更偏向暖湿平流",
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label: isEnglish(locale) ? "Dew point delta" : "露点变化",
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note: isEnglish(locale)
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? "Rising dew point often supports warm/wet advection"
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: "露点上升更偏向暖湿平流",
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tone: dewDelta >= 0.8 ? "warm" : dewDelta <= -0.8 ? "cold" : "",
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value: formatDelta(dewDelta, detail.temp_symbol),
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},
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{
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label: "气压变化",
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note: "气压回升更偏向冷空气压入",
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label: isEnglish(locale) ? "Pressure delta" : "气压变化",
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note: isEnglish(locale)
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? "Pressure rebound usually implies cold-air push"
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: "气压回升更偏向冷空气压入",
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tone: pressureDelta >= 1 ? "cold" : pressureDelta <= -1 ? "warm" : "",
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value: formatDelta(pressureDelta, " hPa"),
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},
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{
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label: "风向演变",
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note: "关注是否转南风或转北风",
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value: `${bucketLabel(firstBucket)} -> ${bucketLabel(lastBucket)}`,
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label: isEnglish(locale) ? "Wind-direction evolution" : "风向演变",
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note: isEnglish(locale)
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? "Focus on switch to southerly or northerly flow"
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: "关注是否转南风或转北风",
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value: `${bucketLabel(firstBucket, locale)} -> ${bucketLabel(lastBucket, locale)}`,
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},
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{
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label: "降水概率",
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note: "weather.gov / Open-Meteo 降水提示",
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label: isEnglish(locale) ? "Precip probability" : "降水概率",
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note: "weather.gov / Open-Meteo",
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tone: precipMax >= 50 ? "cold" : "",
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value: `${Math.round(precipMax)}%`,
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},
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{
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label: "云量变化",
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note: "云量抬升但未降温，常见于暖平流前段",
|
||||
label: isEnglish(locale) ? "Cloud-cover delta" : "云量变化",
|
||||
note: isEnglish(locale)
|
||||
? "Cloud increase without cooling may imply warm advection"
|
||||
: "云量抬升但未降温，常见于暖平流前段",
|
||||
tone:
|
||||
cloudDelta >= 15 && tempDelta >= 0
|
||||
? "warm"
|
||||
@@ -537,18 +655,30 @@ export function computeFrontTrendSignal(detail: CityDetail, dateStr: string) {
|
||||
precipMax,
|
||||
score,
|
||||
summary:
|
||||
label === "暖平流 / 暖锋倾向"
|
||||
? "风向更偏南 / 西南，露点与温度整体抬升，未来 6-48 小时偏向暖平流。"
|
||||
: label === "冷平流 / 冷锋倾向"
|
||||
? "温度下滑、气压回升或风向转北，未来 6-48 小时更像冷锋或冷平流压制。"
|
||||
label === warmLabel
|
||||
? isEnglish(locale)
|
||||
? "Southerly flow strengthens with rising dew point and temperature. Next 6-48h leans warm advection."
|
||||
: "风向更偏南 / 西南，露点与温度整体抬升，未来 6-48 小时偏向暖平流。"
|
||||
: label === coldLabel
|
||||
? isEnglish(locale)
|
||||
? "Temperature declines with pressure rebound and/or northerly shift. Next 6-48h leans cold-front suppression."
|
||||
: "温度下滑、气压回升或风向转北，未来 6-48 小时更像冷锋或冷平流压制。"
|
||||
: detail.name !== "ankara" && Boolean(detail.source_forecasts?.meteoblue)
|
||||
? "结构化来源以 weather.gov、Open-Meteo、Meteoblue 为主，用于判断未来 6-48 小时冷暖平流趋势。"
|
||||
: "结构化来源以 weather.gov 与 Open-Meteo 为主，用于判断未来 6-48 小时冷暖平流趋势。",
|
||||
? isEnglish(locale)
|
||||
? "Structured trend layer mainly uses weather.gov, Open-Meteo and Meteoblue for 6-48h warm/cold flow judgement."
|
||||
: "结构化来源以 weather.gov、Open-Meteo、Meteoblue 为主，用于判断未来 6-48 小时冷暖平流趋势。"
|
||||
: isEnglish(locale)
|
||||
? "Structured trend layer mainly uses weather.gov and Open-Meteo for 6-48h warm/cold flow judgement."
|
||||
: "结构化来源以 weather.gov 和 Open-Meteo 为主，用于判断未来 6-48 小时冷暖平流趋势。",
|
||||
weatherGovPeriods,
|
||||
};
|
||||
}
|
||||
|
||||
export function getFutureModalView(detail: CityDetail, dateStr: string) {
|
||||
export function getFutureModalView(
|
||||
detail: CityDetail,
|
||||
dateStr: string,
|
||||
locale: Locale = "zh-CN",
|
||||
) {
|
||||
const forecastEntry =
|
||||
detail.forecast?.daily?.find((item) => item.date === dateStr) || null;
|
||||
const dailyModel = detail.multi_model_daily?.[dateStr] || {};
|
||||
@@ -571,7 +701,7 @@ export function getFutureModalView(detail: CityDetail, dateStr: string) {
|
||||
return {
|
||||
deb,
|
||||
forecastEntry,
|
||||
front: computeFrontTrendSignal(detail, dateStr),
|
||||
front: computeFrontTrendSignal(detail, dateStr, locale),
|
||||
models: dailyModel.models || {},
|
||||
mu: Number.isFinite(Number(mu)) ? Number(mu) : null,
|
||||
probabilities,
|
||||
@@ -579,7 +709,11 @@ export function getFutureModalView(detail: CityDetail, dateStr: string) {
|
||||
};
|
||||
}
|
||||
|
||||
export function getShortTermNowcastLines(detail: CityDetail, dateStr: string) {
|
||||
export function getShortTermNowcastLines(
|
||||
detail: CityDetail,
|
||||
dateStr: string,
|
||||
locale: Locale = "zh-CN",
|
||||
) {
|
||||
const slice = getFutureSlice(detail, dateStr);
|
||||
if (dateStr !== detail.local_date) {
|
||||
const afternoon = slice.filter((point) => {
|
||||
@@ -589,8 +723,13 @@ export function getShortTermNowcastLines(detail: CityDetail, dateStr: string) {
|
||||
const target = afternoon.length ? afternoon : slice;
|
||||
if (!target.length) {
|
||||
return [
|
||||
["目标日期", dateStr],
|
||||
["峰值窗口", "暂无足够的小时级 forecast 数据，无法生成目标日午后峰值窗口判断。"],
|
||||
[isEnglish(locale) ? "Target date" : "目标日期", dateStr],
|
||||
[
|
||||
isEnglish(locale) ? "Peak window" : "峰值窗口",
|
||||
isEnglish(locale)
|
||||
? "No sufficient hourly forecast data for target-day peak-window diagnostics."
|
||||
: "暂无足够的小时级 forecast 数据，无法生成目标日午后峰值窗口判断。",
|
||||
],
|
||||
] as const;
|
||||
}
|
||||
|
||||
@@ -625,23 +764,45 @@ export function getShortTermNowcastLines(detail: CityDetail, dateStr: string) {
|
||||
const maxCloud = cloudValues.length ? Math.max(...cloudValues) : 0;
|
||||
|
||||
return [
|
||||
["目标日期", dateStr],
|
||||
["峰值窗口", `${start.label} - ${end.label}（优先取 12:00-18:00）`],
|
||||
[isEnglish(locale) ? "Target date" : "目标日期", dateStr],
|
||||
[
|
||||
"峰值预估",
|
||||
isEnglish(locale) ? "Peak window" : "峰值窗口",
|
||||
isEnglish(locale)
|
||||
? `${start.label} - ${end.label} (prefer 12:00-18:00)`
|
||||
: `${start.label} - ${end.label}（优先取 12:00-18:00）`,
|
||||
],
|
||||
[
|
||||
isEnglish(locale) ? "Peak estimate" : "峰值预估",
|
||||
`${Number.isFinite(Number(peakPoint.temp)) ? Number(peakPoint.temp).toFixed(1) : "--"}${detail.temp_symbol} @ ${peakPoint.label || "--"}`,
|
||||
],
|
||||
[
|
||||
"窗口温度",
|
||||
`${Number.isFinite(startTemp) ? startTemp.toFixed(1) : "--"}${detail.temp_symbol} -> ${Number.isFinite(endTemp) ? endTemp.toFixed(1) : "--"}${detail.temp_symbol}（${formatDelta(endTemp - startTemp, detail.temp_symbol)}）`,
|
||||
isEnglish(locale) ? "Window temperature" : "窗口温度",
|
||||
`${Number.isFinite(startTemp) ? startTemp.toFixed(1) : "--"}${detail.temp_symbol} -> ${Number.isFinite(endTemp) ? endTemp.toFixed(1) : "--"}${detail.temp_symbol} (${formatDelta(endTemp - startTemp, detail.temp_symbol)})`,
|
||||
],
|
||||
["露点变化", `${formatDelta(endDew - startDew, detail.temp_symbol)}，用于判断午后暖湿输送是否增强。`],
|
||||
[
|
||||
"风向演变",
|
||||
`${bucketLabel(trendBucketFromDir(start.windDir))} -> ${bucketLabel(trendBucketFromDir(end.windDir))}，关注峰值前后是否转南风或回摆北风。`,
|
||||
isEnglish(locale) ? "Dew-point delta" : "露点变化",
|
||||
isEnglish(locale)
|
||||
? `${formatDelta(endDew - startDew, detail.temp_symbol)} for diagnosing warm/wet transport in afternoon.`
|
||||
: `${formatDelta(endDew - startDew, detail.temp_symbol)}，用于判断午后暖湿输送是否增强。`,
|
||||
],
|
||||
[
|
||||
isEnglish(locale) ? "Wind shift" : "风向演变",
|
||||
isEnglish(locale)
|
||||
? `${bucketLabel(trendBucketFromDir(start.windDir), locale)} -> ${bucketLabel(trendBucketFromDir(end.windDir), locale)} around peak window.`
|
||||
: `${bucketLabel(trendBucketFromDir(start.windDir), locale)} -> ${bucketLabel(trendBucketFromDir(end.windDir), locale)}，关注峰值前后是否转南风或回摆北风。`,
|
||||
],
|
||||
[
|
||||
isEnglish(locale) ? "Pressure delta" : "气压变化",
|
||||
isEnglish(locale)
|
||||
? `${formatDelta(endPressure - startPressure, " hPa")} (higher pressure usually favors cold-air push).`
|
||||
: `${formatDelta(endPressure - startPressure, " hPa")}，上升更偏向冷空气压入。`,
|
||||
],
|
||||
[
|
||||
isEnglish(locale) ? "Precip / cloud" : "降水 / 云量",
|
||||
isEnglish(locale)
|
||||
? `${Math.round(maxPrecip)}% / ${Math.round(maxCloud)}% for cloud-suppression judgement around peak hours.`
|
||||
: `${Math.round(maxPrecip)}% / ${Math.round(maxCloud)}%，用于判断峰值时段是否受云系压制。`,
|
||||
],
|
||||
["气压变化", `${formatDelta(endPressure - startPressure, " hPa")}，上升更偏向冷空气压入。`],
|
||||
["降水 / 云量", `${Math.round(maxPrecip)}% / ${Math.round(maxCloud)}%，用于判断峰值时段是否受云系压制。`],
|
||||
] as const;
|
||||
}
|
||||
|
||||
@@ -649,7 +810,14 @@ export function getShortTermNowcastLines(detail: CityDetail, dateStr: string) {
|
||||
? detail.metar_recent_obs.slice(-4)
|
||||
: [];
|
||||
const nearby = Array.isArray(detail.mgm_nearby) ? detail.mgm_nearby : [];
|
||||
const sourceLabel = detail.name === "ankara" ? "MGM 周边站" : "METAR 周边站";
|
||||
const sourceLabel =
|
||||
detail.name === "ankara"
|
||||
? isEnglish(locale)
|
||||
? "MGM nearby stations"
|
||||
: "MGM 周边站"
|
||||
: isEnglish(locale)
|
||||
? "METAR nearby stations"
|
||||
: "METAR 周边站";
|
||||
const currentTemp = Number(detail.current?.temp);
|
||||
const recentTemps = recent
|
||||
.map((point) => Number(point.temp))
|
||||
@@ -668,25 +836,55 @@ export function getShortTermNowcastLines(detail: CityDetail, dateStr: string) {
|
||||
if (!nearbyLead || Math.abs(diff) > Math.abs(nearbyLead.diff)) {
|
||||
nearbyLead = {
|
||||
diff,
|
||||
name: station.name || station.icao || "周边站",
|
||||
name:
|
||||
station.name ||
|
||||
station.icao ||
|
||||
(isEnglish(locale) ? "Nearby station" : "周边站"),
|
||||
temp,
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
const rows: Array<readonly [string, string]> = [
|
||||
["当前主站", `${detail.current?.temp ?? "--"}${detail.temp_symbol} @ ${detail.current?.obs_time || "--"}`],
|
||||
["原始 METAR", detail.current?.raw_metar || "暂无"],
|
||||
["近 0-2 小时", `${formatDelta(shortDelta, detail.temp_symbol)}，依据最近 METAR 序列判断短时动量。`],
|
||||
[sourceLabel, `${nearby.length} 个站点参与邻近监控。`],
|
||||
[
|
||||
isEnglish(locale) ? "Primary station" : "当前主站",
|
||||
`${detail.current?.temp ?? "--"}${detail.temp_symbol} @ ${detail.current?.obs_time || "--"}`,
|
||||
],
|
||||
[
|
||||
isEnglish(locale) ? "Raw METAR" : "原始 METAR",
|
||||
detail.current?.raw_metar || (isEnglish(locale) ? "N/A" : "暂无"),
|
||||
],
|
||||
[
|
||||
isEnglish(locale) ? "Next 0-2h" : "近 0-2 小时",
|
||||
isEnglish(locale)
|
||||
? `${formatDelta(shortDelta, detail.temp_symbol)} based on latest METAR sequence short-term momentum.`
|
||||
: `${formatDelta(shortDelta, detail.temp_symbol)}，依据最近 METAR 序列判断短时动量。`,
|
||||
],
|
||||
[
|
||||
sourceLabel,
|
||||
isEnglish(locale)
|
||||
? `${nearby.length} stations joined the nearby scan.`
|
||||
: `${nearby.length} 个站点参与邻近监控。`,
|
||||
],
|
||||
];
|
||||
|
||||
if (nearbyLead) {
|
||||
const tone =
|
||||
nearbyLead.diff > 0 ? "偏暖" : nearbyLead.diff < 0 ? "偏冷" : "持平";
|
||||
const tone = isEnglish(locale)
|
||||
? nearbyLead.diff > 0
|
||||
? "warmer"
|
||||
: nearbyLead.diff < 0
|
||||
? "cooler"
|
||||
: "flat"
|
||||
: nearbyLead.diff > 0
|
||||
? "偏暖"
|
||||
: nearbyLead.diff < 0
|
||||
? "偏冷"
|
||||
: "持平";
|
||||
rows.push([
|
||||
"领先站",
|
||||
`${nearbyLead.name} ${nearbyLead.temp}${detail.temp_symbol}，相对主站 ${formatDelta(nearbyLead.diff, detail.temp_symbol)}（${tone}）。`,
|
||||
isEnglish(locale) ? "Leading station" : "领先站",
|
||||
isEnglish(locale)
|
||||
? `${nearbyLead.name} ${nearbyLead.temp}${detail.temp_symbol}, relative to primary station ${formatDelta(nearbyLead.diff, detail.temp_symbol)} (${tone}).`
|
||||
: `${nearbyLead.name} ${nearbyLead.temp}${detail.temp_symbol}，相对主站 ${formatDelta(nearbyLead.diff, detail.temp_symbol)}（${tone}）。`,
|
||||
]);
|
||||
}
|
||||
|
||||
@@ -719,7 +917,7 @@ export function getHistorySummary(
|
||||
settledData.forEach((row) => {
|
||||
if (row.actual != null && row.deb != null) {
|
||||
debErrors.push(Math.abs(row.actual - row.deb));
|
||||
if (Math.round(row.actual) === Math.round(row.deb)) {
|
||||
if (wuRound(row.actual) === wuRound(row.deb)) {
|
||||
hits += 1;
|
||||
}
|
||||
}
|
||||
@@ -745,136 +943,182 @@ export function getHistorySummary(
|
||||
};
|
||||
}
|
||||
|
||||
export function getCityProfileStats(detail: CityDetail) {
|
||||
export function getCityProfileStats(detail: CityDetail, locale: Locale = "zh-CN") {
|
||||
const risk = detail.risk || {};
|
||||
const current = detail.current || {};
|
||||
const nearbyCount = Array.isArray(detail.mgm_nearby) ? detail.mgm_nearby.length : 0;
|
||||
|
||||
return [
|
||||
{
|
||||
label: "结算机场",
|
||||
value: risk.airport && risk.icao ? `${risk.airport} (${risk.icao})` : "暂无档案",
|
||||
label: isEnglish(locale) ? "Settlement airport" : "结算机场",
|
||||
value:
|
||||
risk.airport && risk.icao
|
||||
? `${risk.airport} (${risk.icao})`
|
||||
: isEnglish(locale)
|
||||
? "No profile"
|
||||
: "暂无档案",
|
||||
},
|
||||
{
|
||||
label: "站点距离",
|
||||
label: isEnglish(locale) ? "Station distance" : "站点距离",
|
||||
value:
|
||||
risk.distance_km != null && Number.isFinite(Number(risk.distance_km))
|
||||
? `${risk.distance_km} km`
|
||||
: "未标注",
|
||||
: isEnglish(locale)
|
||||
? "Not marked"
|
||||
: "未标注",
|
||||
},
|
||||
{
|
||||
label: "观测更新",
|
||||
value: current.obs_time || detail.updated_at || "未提供",
|
||||
label: isEnglish(locale) ? "Observation update" : "观测更新",
|
||||
value:
|
||||
current.obs_time ||
|
||||
detail.updated_at ||
|
||||
(isEnglish(locale) ? "Unavailable" : "未提供"),
|
||||
},
|
||||
{
|
||||
label: "周边站点",
|
||||
value: nearbyCount > 0 ? `${nearbyCount} 个参与监控` : "暂无周边站",
|
||||
label: isEnglish(locale) ? "Nearby stations" : "周边站点",
|
||||
value:
|
||||
nearbyCount > 0
|
||||
? isEnglish(locale)
|
||||
? `${nearbyCount} participating stations`
|
||||
: `${nearbyCount} 个参与监控`
|
||||
: isEnglish(locale)
|
||||
? "No nearby stations"
|
||||
: "暂无周边站",
|
||||
},
|
||||
];
|
||||
}
|
||||
|
||||
export function getSettlementRiskNarrative(detail: CityDetail) {
|
||||
export function getSettlementRiskNarrative(
|
||||
detail: CityDetail,
|
||||
locale: Locale = "zh-CN",
|
||||
) {
|
||||
const risk = detail.risk || {};
|
||||
const lines: string[] = [];
|
||||
|
||||
if (risk.warning) {
|
||||
lines.push(`当前主要风险是：${risk.warning}`);
|
||||
lines.push(
|
||||
isEnglish(locale)
|
||||
? `Current key risk: ${risk.warning}`
|
||||
: `当前主要风险是：${risk.warning}`,
|
||||
);
|
||||
}
|
||||
|
||||
if (risk.distance_km != null) {
|
||||
if (risk.distance_km >= 60) {
|
||||
lines.push("结算机场与城市核心区域距离偏大，盘面温度与结算值可能出现明显背离。");
|
||||
lines.push(
|
||||
isEnglish(locale)
|
||||
? "Settlement airport is far from urban core; market feel and settlement value may diverge significantly."
|
||||
: "结算机场与城市核心区域距离偏大，盘面温度与结算值可能出现明显背离。",
|
||||
);
|
||||
} else if (risk.distance_km >= 25) {
|
||||
lines.push("结算机场与城区存在可感知距离，午后峰值和夜间降温节奏需要优先看机场站。");
|
||||
lines.push(
|
||||
isEnglish(locale)
|
||||
? "Settlement airport has material distance from downtown; peak/overnight rhythm should prioritize airport station."
|
||||
: "结算机场与城区存在可感知距离，午后峰值和夜间降温节奏需要优先看机场站。",
|
||||
);
|
||||
} else {
|
||||
lines.push("结算机场距离较近，城市体感与结算温度通常更同步。");
|
||||
lines.push(
|
||||
isEnglish(locale)
|
||||
? "Settlement airport is close enough; city feel and settlement temperature are usually more synchronized."
|
||||
: "结算机场距离较近，城市体感与结算温度通常更同步。",
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
if (detail.name === "ankara") {
|
||||
lines.push("Ankara 需要重点看 LTAC / Esenboğa 与 MGM 周边站联动，不能只看城区体感。");
|
||||
lines.push(
|
||||
isEnglish(locale)
|
||||
? "For Ankara, focus on LTAC / Esenboğa plus MGM nearby-station linkage, not urban sensation alone."
|
||||
: "Ankara 需要重点看 LTAC / Esenboğa 与 MGM 周边站联动，不能只看城区体感。",
|
||||
);
|
||||
}
|
||||
|
||||
if (detail.current?.obs_age_min != null) {
|
||||
if (detail.current.obs_age_min >= 45) {
|
||||
lines.push(`当前 METAR 已有 ${detail.current.obs_age_min} 分钟时滞，临近判断要结合周边站而不是只看主站快照。`);
|
||||
lines.push(
|
||||
isEnglish(locale)
|
||||
? `Current METAR is ${detail.current.obs_age_min} minutes old. Blend nearby stations for nowcast instead of single-station snapshot.`
|
||||
: `当前 METAR 已有 ${detail.current.obs_age_min} 分钟时滞，临近判断要结合周边站而不是只看主站快照。`,
|
||||
);
|
||||
} else {
|
||||
lines.push("当前主站观测较新，短时判断可以把主站温度作为主要锚点。");
|
||||
lines.push(
|
||||
isEnglish(locale)
|
||||
? "Primary station observation is fresh enough; short-term judgement can anchor on it."
|
||||
: "当前主站观测较新，短时判断可以把主站温度作为主要锚点。",
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
return lines;
|
||||
}
|
||||
|
||||
export function getClimateDrivers(detail: CityDetail) {
|
||||
export function getClimateDrivers(detail: CityDetail, locale: Locale = "zh-CN") {
|
||||
const drivers: Array<{ label: string; text: string }> = [];
|
||||
const lat = Math.abs(Number(detail.lat));
|
||||
const current = detail.current || {};
|
||||
const temp = Number(current.temp);
|
||||
const dewPoint = Number(current.dewpoint);
|
||||
const humidity = Number(current.humidity);
|
||||
const windSpeed = Number(current.wind_speed_kt);
|
||||
const nearbyCount = Array.isArray(detail.mgm_nearby) ? detail.mgm_nearby.length : 0;
|
||||
const nearbyCount = Array.isArray(detail.mgm_nearby)
|
||||
? detail.mgm_nearby.length
|
||||
: 0;
|
||||
const distanceKm = Number(detail.risk?.distance_km);
|
||||
|
||||
if (lat >= 50) {
|
||||
drivers.push({
|
||||
label: "高纬冷空气",
|
||||
text: "这座城市处在较高纬度，气温更容易受冷空气南下、短波槽和日照角度变化影响，波动通常偏快。",
|
||||
label: isEnglish(locale) ? "High-latitude cold air" : "高纬冷空气",
|
||||
text: isEnglish(locale)
|
||||
? "At higher latitude, temperature rhythm is more affected by cold-air surges, trough passage, and seasonal radiation angle."
|
||||
: "该城市位于较高纬度，温度变化更容易受到冷空气南下、短波槽和日照角度变化影响。",
|
||||
});
|
||||
} else if (lat >= 35) {
|
||||
drivers.push({
|
||||
label: "中纬度西风带",
|
||||
text: "这座城市主要受中纬度西风带和锋面活动控制，升温或降温往往来自气团切换，而不是单一的日照变化。",
|
||||
label: isEnglish(locale) ? "Mid-latitude westerlies" : "中纬西风带",
|
||||
text: isEnglish(locale)
|
||||
? "Temperature shifts are often controlled by frontal transitions rather than pure daytime radiation."
|
||||
: "该城市主要受中纬西风带和锋面活动控制，升降温常来自气团切换，而不是单一日照变化。",
|
||||
});
|
||||
} else if (lat >= 20) {
|
||||
drivers.push({
|
||||
label: "副热带高压",
|
||||
text: "这座城市更容易受到副热带高压、晴空辐射和低层暖平流影响，午后冲高能力通常比高纬城市更强。",
|
||||
label: isEnglish(locale) ? "Subtropical highs" : "副热带高压",
|
||||
text: isEnglish(locale)
|
||||
? "Subtropical ridge, clear-sky radiation and low-level warm advection often dominate warming efficiency."
|
||||
: "该城市更容易受副热带高压、晴空辐射和低层暖平流影响，午后增温能力通常更强。",
|
||||
});
|
||||
} else {
|
||||
drivers.push({
|
||||
label: "热带水汽与对流",
|
||||
text: "这座城市更偏热带环境，温度与体感常受水汽输送、云对流和阵雨触发影响，不完全由晴空辐射主导。",
|
||||
label: isEnglish(locale) ? "Tropical moisture & convection" : "热带水汽与对流",
|
||||
text: isEnglish(locale)
|
||||
? "Temperature and feels-like are often modulated by moisture transport, cloud convection and showers."
|
||||
: "该城市偏热带环境，温度与体感常受水汽输送、云对流和阵雨触发影响。",
|
||||
});
|
||||
}
|
||||
|
||||
if (Number.isFinite(windSpeed) && windSpeed >= 12) {
|
||||
drivers.push({
|
||||
label: "平流输送",
|
||||
text: `当前风速约 ${windSpeed}kt，说明低层输送比较明显，盘面短时方向更容易被外来气团带动。`,
|
||||
});
|
||||
} else if (detail.trend?.is_dead_market) {
|
||||
drivers.push({
|
||||
label: "本地辐射主导",
|
||||
text: "近期更像本地辐射和地表热量收支在主导，若无新气团介入，温度节奏通常更平滑。",
|
||||
});
|
||||
}
|
||||
drivers.push({
|
||||
label: isEnglish(locale) ? "Dry-wet boundary layer" : "干湿边界层",
|
||||
text: isEnglish(locale)
|
||||
? "Boundary-layer humidity controls daytime warming efficiency; dry boundary warms faster, wet boundary is more cloud/precip-sensitive."
|
||||
: "低层干湿状态会决定午后升温效率。干空气通常升温更快，湿空气更容易受云量和降水过程抑制。",
|
||||
});
|
||||
|
||||
if (
|
||||
Number.isFinite(temp) &&
|
||||
Number.isFinite(dewPoint) &&
|
||||
temp - dewPoint <= 3
|
||||
) {
|
||||
drivers.push({
|
||||
label: isEnglish(locale) ? "Advection transport" : "平流输送",
|
||||
text: isEnglish(locale)
|
||||
? "Short-term trend is usually driven by low-level air-mass transport. Persistent wind origin tends to sustain thermal direction."
|
||||
: "短时趋势常由低层气团输送控制。若风向持续来自同一侧，温度通常更容易沿该方向延续。",
|
||||
});
|
||||
|
||||
if (Number.isFinite(distanceKm) && distanceKm >= 25) {
|
||||
drivers.push({
|
||||
label: "湿度与云量约束",
|
||||
text: "当前温度和露点接近，说明低层湿度较高。午后峰值容易受云量和降水触发抑制。",
|
||||
});
|
||||
} else if (Number.isFinite(humidity) && humidity >= 70) {
|
||||
drivers.push({
|
||||
label: "湿层偏厚",
|
||||
text: "相对湿度偏高，说明局地升温效率会受到水汽和云层反馈影响，冲高空间要比干空气场景更小心。",
|
||||
});
|
||||
} else {
|
||||
drivers.push({
|
||||
label: "干暖边界层",
|
||||
text: "低层空气相对偏干，晴空时段的升温效率通常更高，午后冲顶更依赖辐射和风向切换。",
|
||||
label: isEnglish(locale) ? "Station representativeness" : "站点代表性",
|
||||
text: isEnglish(locale)
|
||||
? "When settlement station is not near city core, perceived temperature and settlement value may diverge."
|
||||
: "结算站与城市核心区存在一定距离时，体感温度和结算温度可能分离，评估时应优先以结算站观测为准。",
|
||||
});
|
||||
}
|
||||
|
||||
if (nearbyCount >= 4) {
|
||||
drivers.push({
|
||||
label: "局地差异",
|
||||
text: "周边可用站点较多，说明地形、城区热岛或下垫面差异可能明显，结算站与城区体感需要分开看。",
|
||||
label: isEnglish(locale) ? "Local heterogeneity" : "局地差异",
|
||||
text: isEnglish(locale)
|
||||
? "More nearby stations suggest terrain/urban-heat heterogeneity; settlement station and downtown sensation should be evaluated separately."
|
||||
: "周边可用站点较多，说明地形、城区热岛或下垫面差异可能明显，结算站与城区体感需要分开评估。",
|
||||
});
|
||||
}
|
||||
|
||||
|
||||
@@ -0,0 +1,235 @@
|
||||
export type Locale = "zh-CN" | "en-US";
|
||||
|
||||
type MessageParams = Record<string, string | number>;
|
||||
|
||||
const DEFAULT_LOCALE: Locale = "zh-CN";
|
||||
export const LOCALE_STORAGE_KEY = "polyweather.locale";
|
||||
|
||||
const MESSAGES: Record<Locale, Record<string, string>> = {
|
||||
"zh-CN": {
|
||||
"header.subtitle": "天气衍生品智能分析",
|
||||
"header.info": "技术说明",
|
||||
"header.infoAria": "查看系统技术说明",
|
||||
"header.live": "实时",
|
||||
"header.refreshAria": "刷新所有数据",
|
||||
"header.langAria": "切换语言",
|
||||
"header.langZh": "中文",
|
||||
"header.langEn": "EN",
|
||||
|
||||
"sidebar.title": "监控城市",
|
||||
"sidebar.peakAt": "峰值 @ {time}",
|
||||
|
||||
"dashboard.loading": "正在获取气象数据，请稍候...",
|
||||
|
||||
"detail.closeAria": "关闭城市详情面板",
|
||||
"detail.waitSelect": "等待选择城市",
|
||||
"detail.todayAnalysis": "今日日内分析",
|
||||
"detail.history": "历史对账",
|
||||
"detail.loading": "正在加载城市详情...",
|
||||
"detail.emptyHint": "从左侧城市列表选择一个城市查看详情。",
|
||||
"detail.sceneryAlt": "{city} 风景照",
|
||||
"detail.sceneryTitle": "城市风景与微气候",
|
||||
"detail.sceneryFallback":
|
||||
"当前没有匹配到风景图，可从下方城市档案查看站点与观测结构。",
|
||||
"detail.profile": "城市档案",
|
||||
"detail.todayMiniTrend": "今日日内走势（简版）",
|
||||
"detail.chartLegendEmpty": "暂无小时级实测或预测曲线。",
|
||||
|
||||
"forecast.title": "多日预报",
|
||||
"forecast.empty": "暂无多日预报",
|
||||
"forecast.today": "今天",
|
||||
|
||||
"guide.title": "📎 PolyWeather 系统技术说明",
|
||||
"guide.closeAria": "关闭技术说明",
|
||||
"guide.footer":
|
||||
"数据源以 Aviation Weather / METAR、Turkish MGM、Open-Meteo、weather.gov 为主，部分城市补充 Meteoblue。",
|
||||
|
||||
"history.title": "📊 历史准确率对账 - {city}",
|
||||
"history.closeAria": "关闭历史对账",
|
||||
"history.loading": "正在获取历史数据...",
|
||||
"history.error": "获取历史信息失败",
|
||||
"history.empty": "近 15 天暂无该城市历史数据",
|
||||
"history.hitRate": "DEB 结算胜率 (WU)",
|
||||
"history.mae": "DEB MAE",
|
||||
"history.sample": "近 15 天已结算样本",
|
||||
"history.sampleDays": "{count} 天",
|
||||
|
||||
"future.todayTitle": "{city} · 今日日内分析",
|
||||
"future.dateTitle": "{city} · {date} 未来日期分析",
|
||||
"future.closeTodayAria": "关闭今日日内分析",
|
||||
"future.closeDateAria": "关闭未来日期分析",
|
||||
"future.currentObs": "当前实测",
|
||||
"future.currentWeather": "当前天气",
|
||||
"future.wuRef": "WU 结算参考",
|
||||
"future.sunrise": "日出时间",
|
||||
"future.sunset": "日落时间",
|
||||
"future.sunshine": "日照时长",
|
||||
"future.todayForecastHigh": "今日预报高温",
|
||||
"future.targetForecast": "目标日预报",
|
||||
"future.deb": "DEB 预测",
|
||||
"future.mu": "动态分布中心",
|
||||
"future.score": "趋势评分",
|
||||
"future.todayTempTrend": "今日温度走势",
|
||||
"future.targetTempTrend": "目标日小时走势",
|
||||
"future.probability": "结算概率分布",
|
||||
"future.models": "多模型预报",
|
||||
"future.structureToday": "今日日内结构信号",
|
||||
"future.structureDate": "未来 6-48 小时趋势",
|
||||
"future.judgement": "判断",
|
||||
"future.confidence": "置信度",
|
||||
"future.maxPrecip": "最大降水概率",
|
||||
"future.ai": "AI 深度分析",
|
||||
"future.noAi": "暂无 AI 分析，当前以结构化气象与模型数据为主。",
|
||||
"future.weatherGov": "weather.gov 文本",
|
||||
"future.risk": "结算与偏差风险",
|
||||
"future.climate": "当地气候主要受什么影响",
|
||||
"future.chartLegendEmpty": "暂无机场报文或小时级实测数据",
|
||||
|
||||
"confidence.high": "高",
|
||||
"confidence.medium": "中",
|
||||
"confidence.low": "低",
|
||||
|
||||
"section.todayTempTrend": "今日温度走势",
|
||||
"section.chartEmpty": "暂无小时级数据",
|
||||
"section.probability": "结算概率分布",
|
||||
"section.mu": "动态分布中心 μ = {value}{unit}",
|
||||
"section.noProb": "暂无概率数据",
|
||||
"section.models": "多模型预报",
|
||||
"section.noModels": "暂无多模型预报",
|
||||
"section.ai": "AI 深度分析",
|
||||
"section.aiEmpty": "暂无 AI 分析，当前以结构化气象与模型数据为主。",
|
||||
"section.risk": "数据偏差风险",
|
||||
"section.noRiskProfile": "暂无风险档案",
|
||||
"section.airport": "机场",
|
||||
"section.distance": "距离",
|
||||
"section.note": "注意",
|
||||
|
||||
"common.na": "--",
|
||||
},
|
||||
"en-US": {
|
||||
"header.subtitle": "Weather Derivatives Intelligence",
|
||||
"header.info": "Tech Notes",
|
||||
"header.infoAria": "Open system technical notes",
|
||||
"header.live": "LIVE",
|
||||
"header.refreshAria": "Refresh all data",
|
||||
"header.langAria": "Switch language",
|
||||
"header.langZh": "中文",
|
||||
"header.langEn": "EN",
|
||||
|
||||
"sidebar.title": "Monitored Cities",
|
||||
"sidebar.peakAt": "Peak @ {time}",
|
||||
|
||||
"dashboard.loading": "Loading weather data, please wait...",
|
||||
|
||||
"detail.closeAria": "Close city detail panel",
|
||||
"detail.waitSelect": "Waiting for city selection",
|
||||
"detail.todayAnalysis": "Today's Intraday",
|
||||
"detail.history": "History Reconciliation",
|
||||
"detail.loading": "Loading city details...",
|
||||
"detail.emptyHint": "Select a city from the left list to view details.",
|
||||
"detail.sceneryAlt": "{city} scenery",
|
||||
"detail.sceneryTitle": "City Scenery & Microclimate",
|
||||
"detail.sceneryFallback":
|
||||
"No scenery image matched. You can still review station and observation profile below.",
|
||||
"detail.profile": "City Profile",
|
||||
"detail.todayMiniTrend": "Today's Intraday Trend (Compact)",
|
||||
"detail.chartLegendEmpty": "No hourly observations or forecast curve available.",
|
||||
|
||||
"forecast.title": "Multi-day Forecast",
|
||||
"forecast.empty": "No multi-day forecast available",
|
||||
"forecast.today": "Today",
|
||||
|
||||
"guide.title": "📎 PolyWeather Technical Overview",
|
||||
"guide.closeAria": "Close technical overview",
|
||||
"guide.footer":
|
||||
"Primary data sources are Aviation Weather / METAR, Turkish MGM, Open-Meteo, and weather.gov, with Meteoblue added for selected cities.",
|
||||
|
||||
"history.title": "📊 Historical Reconciliation - {city}",
|
||||
"history.closeAria": "Close history reconciliation",
|
||||
"history.loading": "Loading historical data...",
|
||||
"history.error": "Failed to load historical data",
|
||||
"history.empty": "No historical records for this city in the last 15 days",
|
||||
"history.hitRate": "DEB Settlement Hit Rate (WU)",
|
||||
"history.mae": "DEB MAE",
|
||||
"history.sample": "Settled Samples (Last 15 Days)",
|
||||
"history.sampleDays": "{count} days",
|
||||
|
||||
"future.todayTitle": "{city} · Intraday Analysis",
|
||||
"future.dateTitle": "{city} · {date} Future-date Analysis",
|
||||
"future.closeTodayAria": "Close intraday analysis",
|
||||
"future.closeDateAria": "Close future-date analysis",
|
||||
"future.currentObs": "Current Observation",
|
||||
"future.currentWeather": "Current Weather",
|
||||
"future.wuRef": "WU Settlement Ref",
|
||||
"future.sunrise": "Sunrise",
|
||||
"future.sunset": "Sunset",
|
||||
"future.sunshine": "Sunshine Duration",
|
||||
"future.todayForecastHigh": "Today's Forecast High",
|
||||
"future.targetForecast": "Target-day Forecast",
|
||||
"future.deb": "DEB Forecast",
|
||||
"future.mu": "Dynamic Distribution Center",
|
||||
"future.score": "Trend Score",
|
||||
"future.todayTempTrend": "Today's Temperature Trend",
|
||||
"future.targetTempTrend": "Target-day Hourly Trend",
|
||||
"future.probability": "Settlement Probability Distribution",
|
||||
"future.models": "Multi-model Forecast",
|
||||
"future.structureToday": "Intraday Structural Signal",
|
||||
"future.structureDate": "6-48h Structural Trend",
|
||||
"future.judgement": "Judgement",
|
||||
"future.confidence": "Confidence",
|
||||
"future.maxPrecip": "Max Precip Probability",
|
||||
"future.ai": "AI Deep Analysis",
|
||||
"future.noAi": "No AI analysis available. Structured meteorological and model data are used as baseline.",
|
||||
"future.weatherGov": "weather.gov text",
|
||||
"future.risk": "Settlement & Deviation Risk",
|
||||
"future.climate": "What Mainly Drives Local Climate",
|
||||
"future.chartLegendEmpty": "No METAR bulletin or hourly observations available",
|
||||
|
||||
"confidence.high": "High",
|
||||
"confidence.medium": "Medium",
|
||||
"confidence.low": "Low",
|
||||
|
||||
"section.todayTempTrend": "Today's Temperature Trend",
|
||||
"section.chartEmpty": "No hourly data available",
|
||||
"section.probability": "Settlement Probability Distribution",
|
||||
"section.mu": "Dynamic center μ = {value}{unit}",
|
||||
"section.noProb": "No probability data available",
|
||||
"section.models": "Multi-model Forecast",
|
||||
"section.noModels": "No multi-model forecast available",
|
||||
"section.ai": "AI Deep Analysis",
|
||||
"section.aiEmpty": "No AI analysis available. Structured meteorological and model data are currently used.",
|
||||
"section.risk": "Data Deviation Risk",
|
||||
"section.noRiskProfile": "No risk profile available",
|
||||
"section.airport": "Airport",
|
||||
"section.distance": "Distance",
|
||||
"section.note": "Note",
|
||||
|
||||
"common.na": "--",
|
||||
},
|
||||
};
|
||||
|
||||
export function normalizeLocale(value?: string | null): Locale {
|
||||
if (!value) return DEFAULT_LOCALE;
|
||||
const normalized = value.toLowerCase();
|
||||
if (normalized.startsWith("en")) return "en-US";
|
||||
return "zh-CN";
|
||||
}
|
||||
|
||||
export function getInitialLocaleFromNavigator(): Locale {
|
||||
if (typeof window === "undefined") return DEFAULT_LOCALE;
|
||||
return normalizeLocale(window.navigator.language);
|
||||
}
|
||||
|
||||
export function formatMessage(
|
||||
locale: Locale,
|
||||
key: string,
|
||||
params?: MessageParams,
|
||||
): string {
|
||||
const template =
|
||||
MESSAGES[locale]?.[key] || MESSAGES[DEFAULT_LOCALE][key] || key;
|
||||
if (!params) return template;
|
||||
return template.replace(/\{(\w+)\}/g, (_, token) => {
|
||||
const value = params[token];
|
||||
return value == null ? "" : String(value);
|
||||
});
|
||||
}
|
||||
Reference in New Issue
Block a user