feat: Implement core PolyWeather application with city weather query service, trend analysis, data collection, and dashboard UI.
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@@ -330,67 +330,18 @@ export function getProbabilityView(detail: CityDetail, targetDate?: string | nul
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}
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export function getModelView(detail: CityDetail, targetDate?: string | null) {
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const toFiniteNumber = (value: unknown): number | null => {
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if (value === null || value === undefined || value === "") return null;
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const numeric = Number(value);
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return Number.isFinite(numeric) ? numeric : null;
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};
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const pickMeteoblueForDate = (dateStr: string) => {
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const meteoblue = detail.source_forecasts?.meteoblue;
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if (!meteoblue) return null;
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const dates = detail.forecast?.daily?.map((item) => item.date) || [];
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const index = dates.findIndex((date) => date === dateStr);
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const todayHigh = toFiniteNumber(meteoblue.today_high);
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// Today must always use Meteoblue daily max (today_high) first.
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if (dateStr === detail.local_date && todayHigh != null) {
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return todayHigh;
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}
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const dailyHighs = Array.isArray(meteoblue.daily_highs)
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? meteoblue.daily_highs
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: [];
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if (index >= 0) {
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const byDailyHigh = toFiniteNumber(dailyHighs[index]);
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if (byDailyHigh != null) return byDailyHigh;
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}
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if (index === 0 && todayHigh != null) return todayHigh;
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return null;
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};
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const withMeteoblue = (
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models: Record<string, number | null>,
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dateStr: string,
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) => {
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const nextModels = { ...models };
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const existing = toFiniteNumber(nextModels.Meteoblue);
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if (existing == null) {
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const meteoblueVal = pickMeteoblueForDate(dateStr);
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if (meteoblueVal != null) {
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nextModels.Meteoblue = meteoblueVal;
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}
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} else {
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nextModels.Meteoblue = existing;
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}
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return nextModels;
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};
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const date = targetDate || detail.local_date;
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const daily = detail.multi_model_daily?.[date];
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if (daily) {
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return {
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deb: daily.deb?.prediction ?? null,
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models: withMeteoblue(daily.models || {}, date),
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models: daily.models || {},
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};
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}
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return {
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deb: detail.deb?.prediction ?? null,
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models: withMeteoblue(detail.multi_model || {}, date),
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models: detail.multi_model || {},
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};
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}
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@@ -712,10 +663,6 @@ export function computeFrontTrendSignal(
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? isEnglish(locale)
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? "Temperature declines with pressure rebound and/or northerly shift. Next 6-48h leans cold-front suppression."
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: "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。"
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: detail.name !== "ankara" && Boolean(detail.source_forecasts?.meteoblue)
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? isEnglish(locale)
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? "Structured trend layer mainly uses weather.gov, Open-Meteo and Meteoblue for 6-48h warm/cold flow judgement."
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: "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。"
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: isEnglish(locale)
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? "Structured trend layer mainly uses weather.gov and Open-Meteo for 6-48h warm/cold flow judgement."
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: "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。",
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