2569718930@qq.com
1774 lines
66 KiB
TypeScript
1774 lines
66 KiB
TypeScript
"use client";
|
||
|
||
import {
|
||
Cloud,
|
||
CloudFog,
|
||
CloudLightning,
|
||
CloudRain,
|
||
CloudSnow,
|
||
CloudSun,
|
||
Search,
|
||
Sun,
|
||
Wind,
|
||
} from "lucide-react";
|
||
|
||
import type { ChartConfiguration } from "chart.js";
|
||
import clsx from "clsx";
|
||
import { CSSProperties, useMemo } from "react";
|
||
import { useChart } from "@/hooks/useChart";
|
||
import { useDashboardStore } from "@/hooks/useDashboardStore";
|
||
import { useI18n } from "@/hooks/useI18n";
|
||
import { ProFeaturePaywall } from "@/components/dashboard/ProFeaturePaywall";
|
||
import { IntradaySignalScene } from "@/components/dashboard/IntradaySignalScene";
|
||
import {
|
||
ModelForecast,
|
||
ProbabilityDistribution,
|
||
} from "@/components/dashboard/PanelSections";
|
||
import {
|
||
getFutureModalView,
|
||
getAirportNarrative,
|
||
parseAiAnalysis,
|
||
getTemperatureChartData,
|
||
getWeatherSummary,
|
||
} from "@/lib/dashboard-utils";
|
||
|
||
function normalizeMarketValue(value?: number | null) {
|
||
if (value == null) return null;
|
||
const numeric = Number(value);
|
||
if (!Number.isFinite(numeric)) return null;
|
||
if (numeric > 1) return Math.max(0, Math.min(1, numeric / 100));
|
||
return Math.max(0, Math.min(1, numeric));
|
||
}
|
||
|
||
function WeatherIcon({ emoji, size = 32 }: { emoji: string; size?: number }) {
|
||
if (emoji === "☀️") return <Sun size={size} color="#facc15" />;
|
||
if (emoji === "⛅" || emoji === "🌤️")
|
||
return <CloudSun size={size} color="#38bdf8" />;
|
||
if (emoji === "☁️") return <Cloud size={size} color="#94a3b8" />;
|
||
if (emoji === "🌧️" || emoji === "🌦️")
|
||
return <CloudRain size={size} color="#60a5fa" />;
|
||
if (emoji === "⛈️") return <CloudLightning size={size} color="#c084fc" />;
|
||
if (emoji === "❄️" || emoji === "🌨️")
|
||
return <CloudSnow size={size} color="#7dd3fc" />;
|
||
if (emoji === "🌫️") return <CloudFog size={size} color="#a1a1aa" />;
|
||
if (emoji === "💨") return <Wind size={size} color="#cbd5e1" />;
|
||
return <Search size={size} color="#64748b" />;
|
||
}
|
||
|
||
function formatMarketPercent(value?: number | null) {
|
||
const normalized = normalizeMarketValue(value);
|
||
if (normalized == null) return "--";
|
||
return `${(normalized * 100).toFixed(1)}%`;
|
||
}
|
||
|
||
function formatMarketPriceCents(value?: number | null) {
|
||
const normalized = normalizeMarketValue(value);
|
||
if (normalized == null) return "--";
|
||
const cents = normalized * 100;
|
||
const rounded = Math.round(cents * 10) / 10;
|
||
return `${Number.isInteger(rounded) ? rounded.toFixed(0) : rounded.toFixed(1)}¢`;
|
||
}
|
||
|
||
function formatSignedPercent(value?: number | null) {
|
||
const numeric = Number(value);
|
||
if (!Number.isFinite(numeric)) return "--";
|
||
const sign = numeric > 0 ? "+" : "";
|
||
return `${sign}${numeric.toFixed(1)}%`;
|
||
}
|
||
|
||
function formatSpreadPercent(low?: number | null, high?: number | null) {
|
||
const a = normalizeMarketValue(low);
|
||
const b = normalizeMarketValue(high);
|
||
if (a == null || b == null) return "--";
|
||
const spreadCents = Math.abs((b - a) * 100);
|
||
const rounded = Math.round(spreadCents * 10) / 10;
|
||
return `${Number.isInteger(rounded) ? rounded.toFixed(0) : rounded.toFixed(1)}¢`;
|
||
}
|
||
|
||
function resolveCounterPrice(
|
||
directValue?: number | null,
|
||
mirrorValue?: number | null,
|
||
) {
|
||
const direct = normalizeMarketValue(directValue);
|
||
if (direct != null) return direct;
|
||
const mirror = normalizeMarketValue(mirrorValue);
|
||
if (mirror == null) return null;
|
||
return Math.max(0, Math.min(1, 1 - mirror));
|
||
}
|
||
|
||
function formatBucketLabel(
|
||
bucket?: {
|
||
label?: string | null;
|
||
bucket?: string | null;
|
||
range?: string | null;
|
||
value?: number | null;
|
||
temp?: number | null;
|
||
} | null,
|
||
) {
|
||
if (!bucket) return "--";
|
||
const direct =
|
||
String(bucket.label || "").trim() ||
|
||
String(bucket.bucket || "").trim() ||
|
||
String(bucket.range || "").trim();
|
||
if (direct) {
|
||
let str = direct.toUpperCase().replace(/\s+/g, "");
|
||
str = str.replace(/°?C($|\+|-)/g, "℃$1");
|
||
if (!str.includes("℃") && /[0-9]/.test(str)) {
|
||
str += "℃";
|
||
}
|
||
return str;
|
||
}
|
||
|
||
const temp = Number(bucket.value ?? bucket.temp);
|
||
if (Number.isFinite(temp)) {
|
||
return `${Math.round(temp)}℃`;
|
||
}
|
||
return "--";
|
||
}
|
||
|
||
function parseMetarSignedInt(token: string) {
|
||
if (!token) return null;
|
||
const normalized = token.toUpperCase();
|
||
if (!/^[M]?\d{2}$/.test(normalized)) return null;
|
||
const value = Number(normalized.replace("M", ""));
|
||
if (!Number.isFinite(value)) return null;
|
||
return normalized.startsWith("M") ? -value : value;
|
||
}
|
||
|
||
function parseMetarTempDew(rawMetar?: string | null) {
|
||
const text = String(rawMetar || "").toUpperCase();
|
||
if (!text)
|
||
return { tempC: null as number | null, dewC: null as number | null };
|
||
const match = text.match(/\s(M?\d{2})\/(M?\d{2})(?:\s|$)/);
|
||
if (!match)
|
||
return { tempC: null as number | null, dewC: null as number | null };
|
||
return {
|
||
tempC: parseMetarSignedInt(match[1]),
|
||
dewC: parseMetarSignedInt(match[2]),
|
||
};
|
||
}
|
||
|
||
function estimateHumidityFromTempDew(
|
||
tempC?: number | null,
|
||
dewC?: number | null,
|
||
) {
|
||
const t = Number(tempC);
|
||
const d = Number(dewC);
|
||
if (!Number.isFinite(t) || !Number.isFinite(d)) return null;
|
||
const es = Math.exp((17.625 * t) / (243.04 + t));
|
||
const ed = Math.exp((17.625 * d) / (243.04 + d));
|
||
const rh = (ed / es) * 100;
|
||
if (!Number.isFinite(rh)) return null;
|
||
return Math.max(0, Math.min(100, rh));
|
||
}
|
||
|
||
function parseVisibilityText(
|
||
rawMetar?: string | null,
|
||
visibilityMi?: number | null,
|
||
) {
|
||
const direct = Number(visibilityMi);
|
||
if (Number.isFinite(direct)) {
|
||
return `${direct} mi`;
|
||
}
|
||
|
||
const text = String(rawMetar || "").toUpperCase();
|
||
if (!text) return "--";
|
||
if (text.includes("CAVOK")) return ">=6 mi";
|
||
|
||
const sm = text.match(/\s(\d{1,2}(?:\/\d)?)SM(?:\s|$)/);
|
||
if (sm) {
|
||
return `${sm[1]} mi`;
|
||
}
|
||
return "--";
|
||
}
|
||
|
||
function clamp(value: number, min: number, max: number) {
|
||
return Math.min(Math.max(value, min), max);
|
||
}
|
||
|
||
function parseClockMinutes(value?: string | null) {
|
||
const text = String(value || "").trim();
|
||
const match = text.match(/^(\d{1,2}):(\d{2})$/);
|
||
if (!match) return null;
|
||
const hours = Number(match[1]);
|
||
const minutes = Number(match[2]);
|
||
if (!Number.isFinite(hours) || !Number.isFinite(minutes)) return null;
|
||
return hours * 60 + minutes;
|
||
}
|
||
|
||
function parseVisibilityMiles(value?: string | null) {
|
||
const text = String(value || "").trim();
|
||
if (!text || text === "--") return null;
|
||
const match = text.match(/(\d+(?:\.\d+)?)/);
|
||
if (!match) return null;
|
||
const numeric = Number(match[1]);
|
||
return Number.isFinite(numeric) ? numeric : null;
|
||
}
|
||
|
||
function parseLeadingNumber(value?: string | number | null) {
|
||
if (typeof value === "number" && Number.isFinite(value)) return value;
|
||
const text = String(value || "").trim();
|
||
const match = text.match(/[-+]?\d+(?:\.\d+)?/);
|
||
if (!match) return null;
|
||
const numeric = Number(match[0]);
|
||
return Number.isFinite(numeric) ? numeric : null;
|
||
}
|
||
|
||
function getCurrentMetricDescriptor(
|
||
kind: "humidity" | "dewpoint" | "wind" | "visibility",
|
||
value: string,
|
||
numeric: number | null,
|
||
aux?: number | null,
|
||
) {
|
||
if (kind === "humidity") {
|
||
const percent = numeric != null ? clamp(numeric, 0, 100) : null;
|
||
const hint =
|
||
percent == null
|
||
? "--"
|
||
: percent >= 75
|
||
? "偏湿"
|
||
: percent >= 45
|
||
? "适中"
|
||
: "偏干";
|
||
const tone =
|
||
percent == null ? "neutral" : percent >= 75 ? "cyan" : percent >= 45 ? "blue" : "amber";
|
||
return { fill: percent, hint, tone, value };
|
||
}
|
||
|
||
if (kind === "dewpoint") {
|
||
const spread = aux != null && numeric != null ? aux - numeric : null;
|
||
const closeness =
|
||
spread != null ? clamp(100 - spread * 12, 0, 100) : null;
|
||
const hint =
|
||
spread == null
|
||
? "--"
|
||
: spread <= 2
|
||
? "近饱和"
|
||
: spread <= 6
|
||
? "偏湿"
|
||
: "偏干";
|
||
const tone =
|
||
spread == null ? "neutral" : spread <= 2 ? "cyan" : spread <= 6 ? "blue" : "amber";
|
||
return { fill: closeness, hint, tone, value };
|
||
}
|
||
|
||
if (kind === "wind") {
|
||
const percent = numeric != null ? clamp((numeric / 25) * 100, 0, 100) : null;
|
||
const hint =
|
||
numeric == null
|
||
? "--"
|
||
: numeric >= 18
|
||
? "偏强"
|
||
: numeric >= 8
|
||
? "中等"
|
||
: "较弱";
|
||
const tone =
|
||
numeric == null ? "neutral" : numeric >= 18 ? "amber" : numeric >= 8 ? "blue" : "cyan";
|
||
return { fill: percent, hint, tone, value };
|
||
}
|
||
|
||
const percent = numeric != null ? clamp((numeric / 10) * 100, 0, 100) : null;
|
||
const hint =
|
||
numeric == null
|
||
? "--"
|
||
: numeric >= 6
|
||
? "通透"
|
||
: numeric >= 3
|
||
? "一般"
|
||
: "受限";
|
||
const tone =
|
||
numeric == null ? "neutral" : numeric >= 6 ? "cyan" : numeric >= 3 ? "blue" : "amber";
|
||
return { fill: percent, hint, tone, value };
|
||
}
|
||
|
||
function getTrendMetricVisual(metric: {
|
||
label?: string;
|
||
value?: string;
|
||
tone?: string;
|
||
}) {
|
||
const label = String(metric.label || "").toLowerCase();
|
||
const value = String(metric.value || "");
|
||
const numeric = parseLeadingNumber(value);
|
||
|
||
if (numeric == null) return null;
|
||
|
||
if (label.includes("降水") || label.includes("precip")) {
|
||
return {
|
||
mode: "fill" as const,
|
||
percent: clamp(numeric, 0, 100),
|
||
tone: "cold" as const,
|
||
};
|
||
}
|
||
|
||
if (label.includes("温度") || label.includes("temp")) {
|
||
return {
|
||
mode: "center" as const,
|
||
percent: clamp(50 + (numeric / 4) * 50, 0, 100),
|
||
tone: numeric >= 0 ? "warm" as const : "cold" as const,
|
||
};
|
||
}
|
||
|
||
if (label.includes("露点") || label.includes("dew")) {
|
||
return {
|
||
mode: "center" as const,
|
||
percent: clamp(50 + (numeric / 3) * 50, 0, 100),
|
||
tone: numeric >= 0 ? "warm" as const : "cold" as const,
|
||
};
|
||
}
|
||
|
||
if (label.includes("气压") || label.includes("pressure")) {
|
||
return {
|
||
mode: "center" as const,
|
||
percent: clamp(50 + (numeric / 4) * 50, 0, 100),
|
||
tone: numeric >= 0 ? "warm" as const : "cold" as const,
|
||
};
|
||
}
|
||
|
||
if (label.includes("云量") || label.includes("cloud")) {
|
||
return {
|
||
mode: "center" as const,
|
||
percent: clamp(50 + (numeric / 40) * 50, 0, 100),
|
||
tone: numeric >= 0 ? "cold" as const : "warm" as const,
|
||
};
|
||
}
|
||
|
||
return null;
|
||
}
|
||
|
||
function DailyTemperatureChart({ dateStr }: { dateStr: string }) {
|
||
const store = useDashboardStore();
|
||
const { locale, t } = useI18n();
|
||
const detail = store.selectedDetail;
|
||
const view = detail ? getFutureModalView(detail, dateStr, locale) : null;
|
||
const isToday = detail ? dateStr === detail.local_date : false;
|
||
const todayChartData = useMemo(
|
||
() => (detail && isToday ? getTemperatureChartData(detail, locale) : null),
|
||
[detail, isToday, locale],
|
||
);
|
||
|
||
const canvasRef = useChart(() => {
|
||
if (!detail || !view) {
|
||
return {
|
||
data: { datasets: [], labels: [] },
|
||
type: "line",
|
||
} satisfies ChartConfiguration<"line">;
|
||
}
|
||
|
||
if (isToday && todayChartData) {
|
||
const datasets: NonNullable<
|
||
ChartConfiguration<"line">["data"]
|
||
>["datasets"] = [];
|
||
|
||
if (todayChartData.datasets.hasMgmHourly) {
|
||
datasets.push({
|
||
backgroundColor: "rgba(234, 179, 8, 0.05)",
|
||
borderColor: "rgba(234, 179, 8, 0.8)",
|
||
borderWidth: 2,
|
||
data: todayChartData.datasets.mgmHourlyPoints,
|
||
fill: false,
|
||
label: locale === "en-US" ? "MGM Forecast" : "MGM 预测",
|
||
pointHoverRadius: 6,
|
||
pointRadius: 3,
|
||
spanGaps: true,
|
||
tension: 0.3,
|
||
});
|
||
} else {
|
||
datasets.push({
|
||
backgroundColor: "rgba(52, 211, 153, 0.05)",
|
||
borderColor: "rgba(52, 211, 153, 0.6)",
|
||
borderWidth: 1.5,
|
||
data: todayChartData.datasets.debPast,
|
||
fill: true,
|
||
label: locale === "en-US" ? "DEB Forecast" : "DEB 预测",
|
||
pointHoverRadius: 3,
|
||
pointRadius: 0,
|
||
tension: 0.3,
|
||
});
|
||
datasets.push({
|
||
borderColor: "rgba(52, 211, 153, 0.35)",
|
||
borderDash: [5, 3],
|
||
borderWidth: 1.5,
|
||
data: todayChartData.datasets.debFuture,
|
||
fill: false,
|
||
label: locale === "en-US" ? "DEB Forecast" : "DEB 预测",
|
||
pointRadius: 0,
|
||
tension: 0.3,
|
||
});
|
||
}
|
||
|
||
datasets.push({
|
||
backgroundColor: "#22d3ee",
|
||
borderColor: "#22d3ee",
|
||
borderWidth: 0,
|
||
data: todayChartData.datasets.metarPoints,
|
||
fill: false,
|
||
label:
|
||
todayChartData.observationLabel ||
|
||
(locale === "en-US" ? "Observation" : "观测实况"),
|
||
order: 0,
|
||
pointHoverRadius: 7,
|
||
pointRadius: 5,
|
||
});
|
||
|
||
if (
|
||
todayChartData.datasets.airportMetarPoints?.some((value) => value != null)
|
||
) {
|
||
datasets.push({
|
||
backgroundColor: "#60a5fa",
|
||
borderColor: "#60a5fa",
|
||
borderWidth: 1,
|
||
data: todayChartData.datasets.airportMetarPoints,
|
||
fill: false,
|
||
label:
|
||
locale === "en-US" ? "Airport METAR" : "机场 METAR",
|
||
order: 0,
|
||
pointHoverRadius: 6,
|
||
pointRadius: 4,
|
||
showLine: false,
|
||
});
|
||
}
|
||
|
||
if (todayChartData.datasets.mgmPoints.some((value) => value != null)) {
|
||
datasets.push({
|
||
backgroundColor: "#facc15",
|
||
borderColor: "#facc15",
|
||
borderWidth: 0,
|
||
data: todayChartData.datasets.mgmPoints,
|
||
fill: false,
|
||
label: locale === "en-US" ? "MGM Observation" : "MGM 实测",
|
||
order: -1,
|
||
pointHoverRadius: 9,
|
||
pointRadius: 7,
|
||
showLine: false,
|
||
});
|
||
}
|
||
|
||
if (
|
||
!todayChartData.datasets.hasMgmHourly &&
|
||
Math.abs(todayChartData.datasets.offset) > 0.3
|
||
) {
|
||
datasets.push({
|
||
borderColor: "rgba(99, 102, 241, 0.2)",
|
||
borderDash: [2, 4],
|
||
borderWidth: 1,
|
||
data: todayChartData.datasets.temps,
|
||
fill: false,
|
||
label: locale === "en-US" ? "OM Raw" : "OM 原始",
|
||
pointRadius: 0,
|
||
tension: 0.3,
|
||
});
|
||
}
|
||
if ((todayChartData.tafMarkers || []).length > 0) {
|
||
datasets.push({
|
||
backgroundColor: "#f59e0b",
|
||
borderColor: "#f59e0b",
|
||
borderWidth: 0,
|
||
data: todayChartData.datasets.tafCurrentMarkerPoints,
|
||
fill: false,
|
||
label: locale === "en-US" ? "Current TAF" : "当前 TAF",
|
||
order: -3,
|
||
pointHoverRadius: 8,
|
||
pointRadius: 6,
|
||
showLine: false,
|
||
});
|
||
datasets.push({
|
||
backgroundColor: "rgba(250, 204, 21, 0.72)",
|
||
borderColor: "rgba(250, 204, 21, 0.72)",
|
||
borderWidth: 0,
|
||
data: todayChartData.datasets.tafPeakWindowMarkerPoints,
|
||
fill: false,
|
||
label: locale === "en-US" ? "Peak-window TAF" : "峰值窗口 TAF",
|
||
order: -2,
|
||
pointHoverRadius: 7,
|
||
pointRadius: 4,
|
||
showLine: false,
|
||
});
|
||
datasets.push({
|
||
backgroundColor: "#f59e0b",
|
||
borderColor: "#f59e0b",
|
||
borderWidth: 0,
|
||
data: todayChartData.datasets.tafMarkerPoints,
|
||
fill: false,
|
||
label: locale === "en-US" ? "TAF Timing" : "TAF 时段",
|
||
order: -4,
|
||
pointHoverRadius: 0,
|
||
pointRadius: 0,
|
||
showLine: false,
|
||
});
|
||
}
|
||
|
||
return {
|
||
data: {
|
||
datasets,
|
||
labels: todayChartData.times,
|
||
},
|
||
options: {
|
||
interaction: { intersect: false, mode: "index" },
|
||
maintainAspectRatio: false,
|
||
plugins: {
|
||
legend: {
|
||
labels: {
|
||
color: "#94a3b8",
|
||
filter: (legendItem, chartData) => {
|
||
const text = String(legendItem.text || "");
|
||
if (!text) return false;
|
||
if (text === "TAF Timing" || text === "TAF 时段") return false;
|
||
if (!text.includes("DEB")) return true;
|
||
|
||
const firstDebIndex = (chartData.datasets || []).findIndex(
|
||
(dataset) => String(dataset.label || "").includes("DEB"),
|
||
);
|
||
return legendItem.datasetIndex === firstDebIndex;
|
||
},
|
||
font: { family: "Inter", size: 11 },
|
||
},
|
||
},
|
||
tooltip: {
|
||
backgroundColor: "rgba(15, 23, 42, 0.96)",
|
||
borderColor: "rgba(34, 211, 238, 0.2)",
|
||
borderWidth: 1,
|
||
callbacks: {
|
||
label: (ctx) => {
|
||
const label = String(ctx.dataset.label || "");
|
||
if (
|
||
label === "TAF Timing" ||
|
||
label === "TAF 时段" ||
|
||
label === "Current TAF" ||
|
||
label === "当前 TAF" ||
|
||
label === "Peak-window TAF" ||
|
||
label === "峰值窗口 TAF"
|
||
) {
|
||
const marker = (todayChartData.tafMarkers || []).find(
|
||
(item) => item.index === ctx.dataIndex,
|
||
);
|
||
if (!marker) return label;
|
||
const prefix =
|
||
marker.isCurrent && marker.isPeakWindow
|
||
? locale === "en-US"
|
||
? "Current / peak-window TAF"
|
||
: "当前 / 峰值窗口 TAF"
|
||
: marker.isCurrent
|
||
? locale === "en-US"
|
||
? "Current TAF"
|
||
: "当前 TAF"
|
||
: marker.isPeakWindow
|
||
? locale === "en-US"
|
||
? "Peak-window TAF"
|
||
: "峰值窗口 TAF"
|
||
: label;
|
||
return `${prefix}: ${String(marker.summary || "").replace(
|
||
marker.markerType,
|
||
marker.displayType || marker.markerType,
|
||
)}`;
|
||
}
|
||
const value = ctx.parsed.y;
|
||
if (value == null) return label;
|
||
return `${label}: ${value.toFixed(1)}${detail.temp_symbol || "°C"}`;
|
||
},
|
||
},
|
||
},
|
||
},
|
||
responsive: true,
|
||
scales: {
|
||
x: {
|
||
grid: { color: "rgba(255,255,255,0.04)" },
|
||
ticks: {
|
||
callback: (_value, index) =>
|
||
typeof index === "number" && index % 3 === 0
|
||
? todayChartData.times[index]
|
||
: "",
|
||
color: "#64748b",
|
||
font: { family: "Inter", size: 10 },
|
||
maxRotation: 0,
|
||
},
|
||
},
|
||
y: {
|
||
grid: { color: "rgba(255,255,255,0.04)" },
|
||
max: todayChartData.max,
|
||
min: todayChartData.min,
|
||
ticks: {
|
||
callback: (value) => `${value}${detail.temp_symbol || "°C"}`,
|
||
color: "#64748b",
|
||
font: { family: "Inter", size: 10 },
|
||
},
|
||
},
|
||
},
|
||
},
|
||
type: "line",
|
||
} satisfies ChartConfiguration<"line">;
|
||
}
|
||
|
||
const labels = view.slice.map((point) => point.label);
|
||
const unit = detail.temp_symbol || "°C";
|
||
|
||
return {
|
||
data: {
|
||
datasets: [
|
||
{
|
||
backgroundColor: "rgba(34, 211, 238, 0.08)",
|
||
borderColor: "#22d3ee",
|
||
data: view.slice.map((point) => point.temp),
|
||
fill: false,
|
||
label:
|
||
locale === "en-US" ? "Open-Meteo Temperature" : "Open-Meteo 温度",
|
||
pointRadius: 2,
|
||
tension: 0.28,
|
||
},
|
||
{
|
||
backgroundColor: "transparent",
|
||
borderColor: "#a78bfa",
|
||
borderDash: [5, 4],
|
||
data: view.slice.map((point) => point.dewPoint),
|
||
fill: false,
|
||
label: locale === "en-US" ? "Dew Point" : "露点",
|
||
pointRadius: 0,
|
||
tension: 0.24,
|
||
},
|
||
],
|
||
labels,
|
||
},
|
||
options: {
|
||
interaction: { intersect: false, mode: "index" },
|
||
maintainAspectRatio: false,
|
||
plugins: {
|
||
legend: {
|
||
labels: {
|
||
color: "#94a3b8",
|
||
font: { family: "Inter", size: 11 },
|
||
},
|
||
},
|
||
tooltip: {
|
||
backgroundColor: "rgba(15, 23, 42, 0.96)",
|
||
borderColor: "rgba(34, 211, 238, 0.2)",
|
||
borderWidth: 1,
|
||
callbacks: {
|
||
label: (ctx) =>
|
||
`${ctx.dataset.label}: ${ctx.parsed.y?.toFixed(1)}${unit}`,
|
||
},
|
||
},
|
||
},
|
||
responsive: true,
|
||
scales: {
|
||
x: {
|
||
grid: { color: "rgba(255,255,255,0.04)" },
|
||
ticks: {
|
||
color: "#64748b",
|
||
font: { family: "Inter", size: 10 },
|
||
maxRotation: 0,
|
||
},
|
||
},
|
||
y: {
|
||
grid: { color: "rgba(255,255,255,0.04)" },
|
||
ticks: {
|
||
callback: (value) => `${value}${unit}`,
|
||
color: "#64748b",
|
||
font: { family: "Inter", size: 10 },
|
||
},
|
||
},
|
||
},
|
||
},
|
||
type: "line",
|
||
} satisfies ChartConfiguration<"line">;
|
||
}, [detail, isToday, locale, todayChartData, view]);
|
||
|
||
return (
|
||
<>
|
||
<div className="history-chart-wrapper future-chart-wrapper">
|
||
<canvas ref={canvasRef} />
|
||
</div>
|
||
{isToday && (
|
||
<div className="chart-legend">
|
||
{todayChartData?.legendText || t("future.chartLegendEmpty")}
|
||
</div>
|
||
)}
|
||
</>
|
||
);
|
||
}
|
||
|
||
export function FutureForecastModal() {
|
||
const store = useDashboardStore();
|
||
const { locale, t } = useI18n();
|
||
const detail = store.selectedDetail;
|
||
const marketScan = store.selectedMarketScan;
|
||
const dateStr = store.futureModalDate;
|
||
const isPro = store.proAccess.subscriptionActive;
|
||
const isProLoading = store.proAccess.loading;
|
||
|
||
if (!detail || !dateStr) return null;
|
||
|
||
const isToday = dateStr === detail.local_date;
|
||
const view = getFutureModalView(detail, dateStr, locale);
|
||
const scorePosition = `${50 + view.front.score / 2}%`;
|
||
const barStyle = {
|
||
"--score-position": scorePosition,
|
||
} as CSSProperties & { "--score-position": string };
|
||
const weatherSummary = getWeatherSummary(detail, locale);
|
||
const isNoaaSettlement =
|
||
detail.current?.settlement_source === "noaa" ||
|
||
detail.current?.settlement_source_label === "NOAA";
|
||
const noaaStationCode = String(
|
||
detail.current?.station_code || detail.risk?.icao || "NOAA",
|
||
)
|
||
.trim()
|
||
.toUpperCase();
|
||
const noaaStationName =
|
||
String(detail.current?.station_name || "").trim() ||
|
||
String(detail.risk?.airport || "").trim() ||
|
||
noaaStationCode;
|
||
const marketMidpoint = formatMarketPercent(
|
||
marketScan?.market_price ?? marketScan?.yes_token?.implied_probability,
|
||
);
|
||
const modelProbability = formatMarketPercent(marketScan?.model_probability);
|
||
const marketYesBuy = formatMarketPriceCents(marketScan?.yes_buy);
|
||
const marketYesSell = formatMarketPriceCents(marketScan?.yes_sell);
|
||
const marketNoBuy = formatMarketPriceCents(
|
||
resolveCounterPrice(marketScan?.no_buy, marketScan?.yes_buy),
|
||
);
|
||
const marketNoSell = formatMarketPriceCents(
|
||
resolveCounterPrice(marketScan?.no_sell, marketScan?.yes_sell),
|
||
);
|
||
const marketEdge = formatSignedPercent(marketScan?.edge_percent);
|
||
const marketSpread = formatSpreadPercent(
|
||
marketScan?.yes_buy,
|
||
marketScan?.yes_sell,
|
||
);
|
||
const topBucket = Array.isArray(marketScan?.top_buckets)
|
||
? [...marketScan.top_buckets]
|
||
.map((item) => ({
|
||
...item,
|
||
probability: normalizeMarketValue(item?.probability),
|
||
}))
|
||
.filter(
|
||
(
|
||
item,
|
||
): item is {
|
||
label?: string | null;
|
||
bucket?: string | null;
|
||
range?: string | null;
|
||
value?: number | null;
|
||
temp?: number | null;
|
||
probability: number;
|
||
} => item.probability != null,
|
||
)
|
||
.sort((a, b) => b.probability - a.probability)[0]
|
||
: null;
|
||
const settlementBucketLabel = formatBucketLabel(
|
||
marketScan?.temperature_bucket,
|
||
);
|
||
const hottestBucketLabel = formatBucketLabel(topBucket);
|
||
const hottestBucketProb = formatMarketPercent(topBucket?.probability);
|
||
const marketSignal = marketScan?.signal_label
|
||
? `${marketScan.signal_label}${
|
||
marketScan.confidence ? ` / ${marketScan.confidence}` : ""
|
||
}`
|
||
: "--";
|
||
const upperAirSignal = detail.vertical_profile_signal || {};
|
||
const tafSignal = detail.taf?.signal || {};
|
||
const topBucketProbability = normalizeMarketValue(topBucket?.probability);
|
||
const numericEdge = Number(marketScan?.edge_percent);
|
||
const hottestMatchesSettlement =
|
||
hottestBucketLabel !== "--" &&
|
||
settlementBucketLabel !== "--" &&
|
||
hottestBucketLabel === settlementBucketLabel;
|
||
const marketAwareUpperAirCue = useMemo(() => {
|
||
if (!isToday || (!upperAirSignal.source && !tafSignal.available)) return null;
|
||
|
||
const crowded = hottestMatchesSettlement && (topBucketProbability || 0) >= 0.3;
|
||
const setup = String(upperAirSignal.heating_setup || "neutral").toLowerCase();
|
||
const tafSuppression = String(
|
||
tafSignal.suppression_level || "low",
|
||
).toLowerCase();
|
||
const tafDisruption = String(
|
||
tafSignal.disruption_level || "low",
|
||
).toLowerCase();
|
||
const signalLabel = String(marketScan?.signal_label || "").toUpperCase();
|
||
const edgeAbs = Number.isFinite(numericEdge) ? Math.abs(numericEdge) : 0;
|
||
const strongEdge = edgeAbs >= 8;
|
||
const reasons: string[] = [];
|
||
let score = 0;
|
||
|
||
if (setup === "supportive") {
|
||
score += 2;
|
||
reasons.push(
|
||
locale === "en-US"
|
||
? "upper-air structure still supports daytime heating"
|
||
: "高空结构仍偏支持白天冲高",
|
||
);
|
||
} else if (setup === "suppressed") {
|
||
score -= 2;
|
||
reasons.push(
|
||
locale === "en-US"
|
||
? "upper-air structure still leans toward capping the peak"
|
||
: "高空结构更偏向压住峰值",
|
||
);
|
||
}
|
||
|
||
if (tafSuppression === "high") {
|
||
score -= 2;
|
||
reasons.push(
|
||
locale === "en-US"
|
||
? "TAF flags meaningful cloud/rain suppression near the peak window"
|
||
: "TAF 在峰值窗口提示云雨压温风险偏高",
|
||
);
|
||
} else if (tafSuppression === "medium") {
|
||
score -= 1;
|
||
reasons.push(
|
||
locale === "en-US"
|
||
? "TAF keeps some cloud/rain suppression risk on the table"
|
||
: "TAF 仍提示一定的云雨压温风险",
|
||
);
|
||
}
|
||
|
||
if (tafDisruption === "high") {
|
||
score -= 1;
|
||
reasons.push(
|
||
locale === "en-US"
|
||
? "TAF also suggests a noisier afternoon regime"
|
||
: "TAF 还提示午后扰动偏强",
|
||
);
|
||
} else if (tafDisruption === "medium") {
|
||
score -= 0.5;
|
||
reasons.push(
|
||
locale === "en-US"
|
||
? "TAF keeps some afternoon timing noise in play"
|
||
: "TAF 提示午后仍可能有时段性扰动",
|
||
);
|
||
}
|
||
|
||
if (strongEdge && signalLabel === "BUY YES") {
|
||
score += 1;
|
||
reasons.push(
|
||
locale === "en-US"
|
||
? `market edge still leans hotter (${formatSignedPercent(numericEdge)})`
|
||
: `市场 edge 仍偏向更热一侧（${formatSignedPercent(numericEdge)}）`,
|
||
);
|
||
} else if (strongEdge && signalLabel === "BUY NO") {
|
||
score -= 1;
|
||
reasons.push(
|
||
locale === "en-US"
|
||
? `market edge still leans cooler (${formatSignedPercent(numericEdge)})`
|
||
: `市场 edge 仍偏向更冷一侧（${formatSignedPercent(numericEdge)}）`,
|
||
);
|
||
}
|
||
|
||
if (crowded && score > 0) {
|
||
score -= 0.5;
|
||
reasons.push(
|
||
locale === "en-US"
|
||
? "the target bucket is already getting crowded"
|
||
: "目标区间已经开始变拥挤",
|
||
);
|
||
}
|
||
|
||
if (score >= 1.5) {
|
||
return {
|
||
summary:
|
||
locale === "en-US"
|
||
? "The combined upper-air, TAF, and market read still leans warmer. Do not fade lower buckets too early."
|
||
: "高空、TAF 和市场三层信号合并后仍偏暖侧，不宜过早做更低温区间。",
|
||
note:
|
||
locale === "en-US"
|
||
? `${reasons.slice(0, 2).join("; ")}.`
|
||
: `${reasons.slice(0, 2).join("；")}。`,
|
||
tone: "warm",
|
||
value: locale === "en-US" ? "Lean warmer" : "偏暖侧",
|
||
};
|
||
}
|
||
|
||
if (score <= -1.5) {
|
||
return {
|
||
summary:
|
||
locale === "en-US"
|
||
? "The combined upper-air, TAF, and market read leans more defensive. Be more careful chasing higher buckets."
|
||
: "高空、TAF 和市场三层信号合并后更偏防守，追更高温区间要更谨慎。",
|
||
note:
|
||
locale === "en-US"
|
||
? `${reasons.slice(0, 2).join("; ")}.`
|
||
: `${reasons.slice(0, 2).join("；")}。`,
|
||
tone: "cold",
|
||
value: locale === "en-US" ? "Lean cautious" : "偏谨慎",
|
||
};
|
||
}
|
||
|
||
return {
|
||
summary:
|
||
locale === "en-US"
|
||
? "The combined upper-air, TAF, and market read is mixed. Let surface structure and price action decide before taking a side."
|
||
: "高空、TAF 和市场三层信号目前偏混合，先看近地面结构和盘口变化，不急着站边。",
|
||
note:
|
||
locale === "en-US"
|
||
? `${reasons.slice(0, 2).join("; ") || "No clean edge from the upper-air layer alone"}.`
|
||
: `${reasons.slice(0, 2).join("；") || "单看高空层还没有干净的交易边"}。`,
|
||
tone: "",
|
||
value: locale === "en-US" ? "Wait / confirm" : "先观察",
|
||
};
|
||
}, [
|
||
tafSignal.available,
|
||
tafSignal.disruption_level,
|
||
tafSignal.suppression_level,
|
||
marketScan?.signal_label,
|
||
hottestMatchesSettlement,
|
||
isToday,
|
||
locale,
|
||
numericEdge,
|
||
topBucketProbability,
|
||
upperAirSignal.heating_setup,
|
||
upperAirSignal.source,
|
||
]);
|
||
const metarParsed = parseMetarTempDew(detail.current?.raw_metar);
|
||
const fallbackDewpoint =
|
||
detail.current?.dewpoint ??
|
||
metarParsed.dewC ??
|
||
(Array.isArray(detail.hourly_next_48h?.dew_point)
|
||
? detail.hourly_next_48h?.dew_point?.[0]
|
||
: null);
|
||
const fallbackHumidity =
|
||
detail.current?.humidity ??
|
||
estimateHumidityFromTempDew(
|
||
detail.current?.temp ?? metarParsed.tempC,
|
||
fallbackDewpoint,
|
||
);
|
||
const topObservedTemp =
|
||
detail.current?.max_so_far != null
|
||
? detail.current.max_so_far
|
||
: detail.current?.temp;
|
||
const currentTempText =
|
||
detail.current?.temp != null
|
||
? `${detail.current.temp}${detail.temp_symbol}`
|
||
: "--";
|
||
const humidityText =
|
||
fallbackHumidity != null ? `${Math.round(fallbackHumidity)}%` : "--";
|
||
const dewpointText =
|
||
fallbackDewpoint != null
|
||
? `${fallbackDewpoint}${detail.temp_symbol}`
|
||
: "--";
|
||
const windText =
|
||
detail.current?.wind_speed_kt != null
|
||
? `${detail.current.wind_speed_kt} kt`
|
||
: "--";
|
||
const visibilityText = parseVisibilityText(
|
||
detail.current?.raw_metar,
|
||
detail.current?.visibility_mi,
|
||
);
|
||
const humidityValue =
|
||
fallbackHumidity != null ? Math.round(fallbackHumidity) : null;
|
||
const windValue =
|
||
detail.current?.wind_speed_kt != null
|
||
? Number(detail.current.wind_speed_kt)
|
||
: null;
|
||
const visibilityValue = parseVisibilityMiles(visibilityText);
|
||
const daylightProgress = (() => {
|
||
const now = parseClockMinutes(detail.current?.obs_time);
|
||
const sunrise = parseClockMinutes(detail.forecast?.sunrise);
|
||
const sunset = parseClockMinutes(detail.forecast?.sunset);
|
||
if (now == null || sunrise == null || sunset == null || sunset <= sunrise) {
|
||
return null;
|
||
}
|
||
const percent = clamp(((now - sunrise) / (sunset - sunrise)) * 100, 0, 100);
|
||
const phase =
|
||
now < sunrise ? "夜间" : now > sunset ? "已日落" : "白昼进行中";
|
||
return {
|
||
phase,
|
||
percent,
|
||
};
|
||
})();
|
||
const currentMetricVisuals = [
|
||
{
|
||
key: "humidity",
|
||
label: locale === "en-US" ? "Humidity" : "湿度",
|
||
...getCurrentMetricDescriptor("humidity", humidityText, humidityValue),
|
||
},
|
||
{
|
||
key: "dewpoint",
|
||
label: locale === "en-US" ? "Dew Point" : "露点",
|
||
...getCurrentMetricDescriptor(
|
||
"dewpoint",
|
||
dewpointText,
|
||
fallbackDewpoint != null ? Number(fallbackDewpoint) : null,
|
||
detail.current?.temp != null ? Number(detail.current.temp) : null,
|
||
),
|
||
},
|
||
{
|
||
key: "wind",
|
||
label: locale === "en-US" ? "Wind" : "风速",
|
||
...getCurrentMetricDescriptor("wind", windText, windValue),
|
||
},
|
||
{
|
||
key: "visibility",
|
||
label: locale === "en-US" ? "Visibility" : "能见度",
|
||
...getCurrentMetricDescriptor("visibility", visibilityText, visibilityValue),
|
||
},
|
||
];
|
||
const ai = getAirportNarrative(detail, locale);
|
||
const risk = detail.risk || {};
|
||
const settlementSourceCode = String(
|
||
detail.current?.settlement_source || "",
|
||
).toLowerCase();
|
||
const isOfficialSettlementSource =
|
||
settlementSourceCode === "hko" ||
|
||
settlementSourceCode === "cwa" ||
|
||
settlementSourceCode === "noaa" ||
|
||
settlementSourceCode === "wunderground";
|
||
const settlementProfileLabel = isOfficialSettlementSource
|
||
? locale === "en-US"
|
||
? "Settlement station"
|
||
: "结算站点"
|
||
: t("section.airport");
|
||
const settlementStationLabel =
|
||
detail.settlement_station?.settlement_station_label ||
|
||
detail.current?.station_name ||
|
||
risk.airport ||
|
||
noaaStationName;
|
||
const settlementStationCode =
|
||
detail.settlement_station?.settlement_station_code ||
|
||
detail.current?.station_code ||
|
||
risk.icao ||
|
||
noaaStationCode;
|
||
const settlementProfileValue =
|
||
settlementStationLabel
|
||
? `${settlementStationLabel}${settlementStationCode ? ` (${settlementStationCode})` : ""}`
|
||
: "--";
|
||
const airportPrimary = detail.airport_primary || detail.airport_current;
|
||
const airportCurrentText =
|
||
airportPrimary?.temp != null
|
||
? `${airportPrimary.temp}${detail.temp_symbol}${
|
||
airportPrimary?.obs_time
|
||
? ` @${airportPrimary.obs_time}`
|
||
: ""
|
||
}`
|
||
: "--";
|
||
const airportMaxText =
|
||
airportPrimary?.max_so_far != null
|
||
? `${airportPrimary.max_so_far}${detail.temp_symbol}${
|
||
airportPrimary?.max_temp_time
|
||
? ` @${airportPrimary.max_temp_time}`
|
||
: ""
|
||
}`
|
||
: "--";
|
||
const officialNearbyCount = Array.isArray(detail.official_nearby)
|
||
? detail.official_nearby.length
|
||
: Array.isArray(detail.mgm_nearby)
|
||
? detail.mgm_nearby.length
|
||
: 0;
|
||
const officialNetworkSourceText =
|
||
detail.official_network_status?.provider_label ||
|
||
detail.official_network_source ||
|
||
"--";
|
||
const officialNetworkStatusText =
|
||
detail.official_network_status?.mode ||
|
||
"--";
|
||
const airportVsNetworkDeltaText =
|
||
detail.airport_vs_network_delta != null &&
|
||
Number.isFinite(Number(detail.airport_vs_network_delta))
|
||
? `${Number(detail.airport_vs_network_delta) > 0 ? "+" : ""}${Number(
|
||
detail.airport_vs_network_delta,
|
||
).toFixed(1)}${detail.temp_symbol}`
|
||
: "--";
|
||
const displayedUpperAirSummary =
|
||
marketAwareUpperAirCue?.summary || view.front.upperAirSummary;
|
||
const displayedUpperAirMetrics = (view.front.upperAirMetrics || []).map(
|
||
(metric, index) =>
|
||
index === 0 &&
|
||
(metric.label === "Trade cue" || metric.label === "交易动作") &&
|
||
marketAwareUpperAirCue
|
||
? {
|
||
...metric,
|
||
note: marketAwareUpperAirCue.note,
|
||
tone: marketAwareUpperAirCue.tone,
|
||
value: marketAwareUpperAirCue.value,
|
||
}
|
||
: metric,
|
||
);
|
||
|
||
return (
|
||
<div
|
||
className="modal-overlay"
|
||
role="dialog"
|
||
aria-modal="true"
|
||
aria-labelledby="future-modal-title"
|
||
onClick={(event) => {
|
||
if (event.target === event.currentTarget) {
|
||
store.closeFutureModal();
|
||
}
|
||
}}
|
||
>
|
||
{isProLoading ? (
|
||
<div
|
||
className="modal-content large"
|
||
style={{ padding: "40px", textAlign: "center" }}
|
||
>
|
||
<div style={{ color: "var(--text-muted)" }}>
|
||
{t("dashboard.loading")}
|
||
</div>
|
||
</div>
|
||
) : !isPro ? (
|
||
<ProFeaturePaywall
|
||
feature={isToday ? "today" : "future"}
|
||
onClose={store.closeFutureModal}
|
||
/>
|
||
) : (
|
||
<div className="modal-content large future-modal">
|
||
<div className="modal-header">
|
||
<h2
|
||
id="future-modal-title"
|
||
className="future-modal-title-with-actions"
|
||
>
|
||
<span>
|
||
{isToday
|
||
? t("future.todayTitle", {
|
||
city: detail.display_name.toUpperCase(),
|
||
})
|
||
: t("future.dateTitle", {
|
||
city: detail.display_name.toUpperCase(),
|
||
date: dateStr,
|
||
})}
|
||
</span>
|
||
<button
|
||
className={clsx(
|
||
"future-refresh-btn",
|
||
store.loadingState.marketScan && "spinning",
|
||
)}
|
||
disabled={!isPro || isProLoading}
|
||
onClick={() => {
|
||
if (isToday) {
|
||
void store.openTodayModal(true);
|
||
return;
|
||
}
|
||
store.openFutureModal(dateStr, true);
|
||
}}
|
||
title={
|
||
!isPro
|
||
? locale === "en-US"
|
||
? "Pro subscription required"
|
||
: "需要 Pro 订阅"
|
||
: locale === "en-US"
|
||
? "Refresh Data"
|
||
: "刷新数据"
|
||
}
|
||
>
|
||
<svg
|
||
width="14"
|
||
height="14"
|
||
viewBox="0 0 24 24"
|
||
fill="none"
|
||
stroke="currentColor"
|
||
strokeWidth="2.5"
|
||
strokeLinecap="round"
|
||
strokeLinejoin="round"
|
||
>
|
||
<path d="M3 12a9 9 0 1 0 9-9 9.75 9.75 0 0 0-6.74 2.74L3 8" />
|
||
<path d="M3 3v5h5" />
|
||
</svg>
|
||
</button>
|
||
</h2>
|
||
<button
|
||
type="button"
|
||
className="modal-close"
|
||
aria-label={
|
||
isToday ? t("future.closeTodayAria") : t("future.closeDateAria")
|
||
}
|
||
onClick={store.closeFutureModal}
|
||
>
|
||
×
|
||
</button>
|
||
</div>
|
||
<div className="modal-body future-modal-body">
|
||
{isNoaaSettlement && (
|
||
<div
|
||
style={{
|
||
marginBottom: "16px",
|
||
padding: "12px 14px",
|
||
border: "1px solid rgba(56, 189, 248, 0.24)",
|
||
borderRadius: "12px",
|
||
background: "rgba(14, 165, 233, 0.08)",
|
||
color: "var(--text-secondary)",
|
||
fontSize: "13px",
|
||
lineHeight: 1.6,
|
||
}}
|
||
>
|
||
{locale === "en-US"
|
||
? `${detail.display_name} now settles against NOAA ${noaaStationCode} (${noaaStationName}). The market uses the highest rounded whole-degree Celsius reading in the Temp column after the day is finalized.`
|
||
: `${detail.display_name} 当前按 NOAA ${noaaStationCode}（${noaaStationName}）结算。市场最终采用该日 Temp 列完成质控后的最高整度摄氏值，不按小数温度结算。`}
|
||
</div>
|
||
)}
|
||
{isToday ? (
|
||
<div className="future-v2-layout">
|
||
<aside className="future-v2-left">
|
||
<section className="future-v2-card future-v2-hero-card">
|
||
<h3 className="future-v2-hero-title">
|
||
{locale === "en-US"
|
||
? "Current Conditions"
|
||
: "实况与气象特征"}
|
||
</h3>
|
||
<div className="future-v2-hero-main">
|
||
<div className="future-v2-hero-temp">
|
||
{currentTempText}
|
||
</div>
|
||
<div className="future-v2-hero-divider" />
|
||
<div className="future-v2-hero-weather">
|
||
<span className="future-v2-hero-icon">
|
||
<WeatherIcon
|
||
emoji={weatherSummary.weatherIcon}
|
||
size={42}
|
||
/>
|
||
</span>
|
||
<span>{weatherSummary.weatherText}</span>
|
||
</div>
|
||
</div>
|
||
<div className="future-v2-hero-obs">
|
||
@{detail.current?.obs_time || "--"}
|
||
</div>
|
||
{daylightProgress ? (
|
||
<div className="future-v2-daylight">
|
||
<div className="future-v2-daylight-head">
|
||
<span>
|
||
{locale === "en-US"
|
||
? "Solar Window"
|
||
: "昼夜进度"}
|
||
</span>
|
||
<strong>
|
||
{locale === "en-US"
|
||
? `${daylightProgress.phase} ${Math.round(daylightProgress.percent)}%`
|
||
: `${daylightProgress.phase} ${Math.round(daylightProgress.percent)}%`}
|
||
</strong>
|
||
</div>
|
||
<div
|
||
className="future-v2-daylight-bar"
|
||
style={
|
||
{
|
||
"--daylight-progress": `${daylightProgress.percent}%`,
|
||
} as CSSProperties & { "--daylight-progress": string }
|
||
}
|
||
/>
|
||
<div className="future-v2-daylight-times">
|
||
<span>{detail.forecast?.sunrise || "--"}</span>
|
||
<span>{detail.forecast?.sunset || "--"}</span>
|
||
</div>
|
||
</div>
|
||
) : null}
|
||
<div className="future-v2-mini-grid">
|
||
<div className="future-v2-mini-item">
|
||
<span>
|
||
{locale === "en-US" ? "High So Far" : "目前最高温"}
|
||
</span>
|
||
<strong>
|
||
{topObservedTemp ?? "--"}
|
||
{detail.temp_symbol}
|
||
</strong>
|
||
</div>
|
||
<div className="future-v2-mini-item">
|
||
<span>
|
||
{locale === "en-US" ? "Sunrise" : "日出时间"}
|
||
</span>
|
||
<strong>{detail.forecast?.sunrise || "--"}</strong>
|
||
</div>
|
||
<div className="future-v2-mini-item">
|
||
<span>
|
||
{locale === "en-US" ? "Sunset" : "日落时间"}
|
||
</span>
|
||
<strong>{detail.forecast?.sunset || "--"}</strong>
|
||
</div>
|
||
<div className="future-v2-mini-item">
|
||
<span>
|
||
{locale === "en-US" ? "Sunshine" : "日照时长"}
|
||
</span>
|
||
<strong>
|
||
{detail.forecast?.sunshine_hours != null
|
||
? `${detail.forecast.sunshine_hours}h`
|
||
: "--"}
|
||
</strong>
|
||
</div>
|
||
</div>
|
||
</section>
|
||
|
||
<section className="future-v2-card">
|
||
<h4 className="future-v2-card-title">
|
||
{locale === "en-US" ? "Current Metrics" : "当前指标"}
|
||
</h4>
|
||
<IntradaySignalScene
|
||
metrics={currentMetricVisuals}
|
||
score={view.front.score}
|
||
/>
|
||
<div className="future-v2-mini-grid future-v2-mini-grid-tight">
|
||
{currentMetricVisuals.map((metric) => (
|
||
<div key={metric.key} className="future-v2-mini-item future-v2-signal-item">
|
||
<div className="future-v2-signal-head">
|
||
<span>{metric.label}</span>
|
||
<em
|
||
className={clsx(
|
||
"future-v2-signal-tag",
|
||
metric.tone === "cyan" && "cyan",
|
||
metric.tone === "blue" && "blue",
|
||
metric.tone === "amber" && "amber",
|
||
)}
|
||
>
|
||
{metric.hint}
|
||
</em>
|
||
</div>
|
||
<strong>{metric.value}</strong>
|
||
<div className="future-v2-signal-meter">
|
||
<div
|
||
className={clsx(
|
||
"future-v2-signal-fill",
|
||
metric.tone === "cyan" && "cyan",
|
||
metric.tone === "blue" && "blue",
|
||
metric.tone === "amber" && "amber",
|
||
)}
|
||
style={{
|
||
width:
|
||
metric.fill != null ? `${metric.fill}%` : "18%",
|
||
}}
|
||
/>
|
||
</div>
|
||
</div>
|
||
))}
|
||
</div>
|
||
</section>
|
||
|
||
<section className="future-v2-card">
|
||
<h4 className="future-v2-card-title">
|
||
{locale === "en-US" ? "Market Alignment" : "市场对照"}
|
||
</h4>
|
||
<div className="future-v2-market-v3">
|
||
{/* Loading Overlay */}
|
||
{store.loadingState.marketScan && (
|
||
<div className="market-layer-loading-overlay">
|
||
<div
|
||
className="loading-spinner"
|
||
style={{
|
||
marginBottom: "8px",
|
||
width: "24px",
|
||
height: "24px",
|
||
borderWidth: "2px",
|
||
}}
|
||
/>
|
||
{locale === "en-US"
|
||
? "Crunching Polymarket Edges..."
|
||
: "正在计算市场对手盘..."}
|
||
</div>
|
||
)}
|
||
|
||
{/* Layer 1: Target & Edge */}
|
||
<div className="market-layer-target">
|
||
<div className="market-target-header">
|
||
<span>
|
||
{locale === "en-US"
|
||
? "Target Bucket:"
|
||
: "结算温度区间："}
|
||
</span>
|
||
<strong className="market-target-bucket">
|
||
{settlementBucketLabel}
|
||
</strong>
|
||
</div>
|
||
</div>
|
||
|
||
{/* Layer 3: Context */}
|
||
<div className="market-layer-context">
|
||
<div className="market-sub-title">
|
||
👀 {locale === "en-US" ? "Market Radar" : "情绪雷达"}
|
||
</div>
|
||
<div className="market-context-row">
|
||
<span>
|
||
{locale === "en-US"
|
||
? "Top Volume Bucket:"
|
||
: "市场当前押注最热:"}
|
||
</span>
|
||
<strong>
|
||
{hottestBucketLabel}{" "}
|
||
{hottestBucketProb !== "--"
|
||
? `(${hottestBucketProb})`
|
||
: ""}
|
||
</strong>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div className="future-v2-market-signal mt-3">
|
||
{locale === "en-US" ? "Signal" : "信号"}:{" "}
|
||
<strong>{marketSignal}</strong>
|
||
</div>
|
||
</section>
|
||
|
||
<section className="future-v2-card">
|
||
<h4 className="future-v2-card-title">
|
||
{locale === "en-US"
|
||
? "City Risk Profile & Airport Narrative"
|
||
: "城市风险档案与机场报文解读"}
|
||
</h4>
|
||
<div className="future-v2-stack">
|
||
<div className="future-v2-subpanel">
|
||
<h5 className="future-v2-subpanel-title">
|
||
{locale === "en-US" ? "City Risk Profile" : "城市风险档案"}
|
||
</h5>
|
||
<div className="risk-info" style={{ marginTop: "10px" }}>
|
||
{!risk.airport ? (
|
||
<span style={{ color: "var(--text-muted)" }}>
|
||
{t("section.noRiskProfile")}
|
||
</span>
|
||
) : (
|
||
<>
|
||
<div className="risk-row">
|
||
<span className="risk-label">
|
||
{settlementProfileLabel}
|
||
</span>
|
||
<span>{settlementProfileValue}</span>
|
||
</div>
|
||
<div className="risk-row">
|
||
<span className="risk-label">
|
||
{locale === "en-US" ? "Airport primary" : "机场主站"}
|
||
</span>
|
||
<span>{airportCurrentText}</span>
|
||
</div>
|
||
<div className="risk-row">
|
||
<span className="risk-label">
|
||
{locale === "en-US" ? "Airport max today" : "机场今日最高"}
|
||
</span>
|
||
<span>{airportMaxText}</span>
|
||
</div>
|
||
<div className="risk-row">
|
||
<span className="risk-label">
|
||
{locale === "en-US" ? "Official nearby" : "官方周边站"}
|
||
</span>
|
||
<span>
|
||
{officialNearbyCount} · {officialNetworkSourceText}
|
||
</span>
|
||
</div>
|
||
<div className="risk-row">
|
||
<span className="risk-label">
|
||
{locale === "en-US" ? "Network mode" : "站网模式"}
|
||
</span>
|
||
<span>{officialNetworkStatusText}</span>
|
||
</div>
|
||
<div className="risk-row">
|
||
<span className="risk-label">
|
||
{locale === "en-US"
|
||
? "Airport vs network"
|
||
: "机场相对站网偏差"}
|
||
</span>
|
||
<span>{airportVsNetworkDeltaText}</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>
|
||
) : null}
|
||
</>
|
||
)}
|
||
</div>
|
||
</div>
|
||
<div className="future-v2-subpanel">
|
||
<h5 className="future-v2-subpanel-title">
|
||
{locale === "en-US" ? "Airport Narrative" : "机场报文解读"}
|
||
</h5>
|
||
<div className="ai-box" style={{ marginTop: "10px" }}>
|
||
{!ai.summary && ai.bullets.length === 0 ? (
|
||
<span className="ai-placeholder">
|
||
{t("future.noAi")}
|
||
</span>
|
||
) : (
|
||
<>
|
||
{ai.summary ? (
|
||
<div className="ai-summary">{ai.summary}</div>
|
||
) : null}
|
||
{ai.bullets.length > 0 ? (
|
||
<ul className="ai-list">
|
||
{ai.bullets.map((item) => (
|
||
<li key={item}>{item}</li>
|
||
))}
|
||
</ul>
|
||
) : null}
|
||
</>
|
||
)}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</section>
|
||
</aside>
|
||
|
||
<main className="future-v2-right">
|
||
<section className="future-modal-section future-v2-main-chart">
|
||
<h3>
|
||
{locale === "en-US"
|
||
? "Today's temperature forecast (obs + market)"
|
||
: "今日气温预测（观测 + 市场）"}
|
||
</h3>
|
||
<DailyTemperatureChart dateStr={dateStr} />
|
||
</section>
|
||
|
||
<div className="future-modal-grid">
|
||
<section className="future-modal-section">
|
||
<h3>{t("future.probability")}</h3>
|
||
<div style={{ position: "relative", minHeight: "120px" }}>
|
||
{/* Loading Overlay */}
|
||
{store.loadingState.marketScan && (
|
||
<div className="market-layer-loading-overlay">
|
||
<div
|
||
className="loading-spinner"
|
||
style={{
|
||
marginBottom: "8px",
|
||
width: "24px",
|
||
height: "24px",
|
||
borderWidth: "2px",
|
||
}}
|
||
/>
|
||
{locale === "en-US"
|
||
? "Crunching Polymarket Edges..."
|
||
: "正在同步市场挂单..."}
|
||
</div>
|
||
)}
|
||
<ProbabilityDistribution
|
||
detail={detail}
|
||
targetDate={dateStr}
|
||
hideTitle
|
||
marketScan={marketScan}
|
||
/>
|
||
</div>
|
||
</section>
|
||
<section className="future-modal-section">
|
||
<h3>{t("future.models")}</h3>
|
||
<ModelForecast
|
||
detail={detail}
|
||
targetDate={dateStr}
|
||
hideTitle
|
||
/>
|
||
</section>
|
||
</div>
|
||
|
||
<section className="future-modal-section">
|
||
<h3>{t("future.structureToday")}</h3>
|
||
<div className="future-front-score">
|
||
<div className="future-front-bar" style={barStyle}>
|
||
<div
|
||
style={{
|
||
position: "absolute",
|
||
top: 0,
|
||
bottom: 0,
|
||
left: "50%",
|
||
width: "2px",
|
||
background: "rgba(255, 255, 255, 0.2)",
|
||
transform: "translateX(-50%)",
|
||
zIndex: 1,
|
||
}}
|
||
/>
|
||
</div>
|
||
<div className="future-front-meta">
|
||
<span className="future-front-pill">
|
||
{t("future.judgement")}: {view.front.label}
|
||
</span>
|
||
<span className="future-front-pill">
|
||
{t("future.confidence")}:{" "}
|
||
{t(`confidence.${view.front.confidence}`)}
|
||
</span>
|
||
<span className="future-front-pill">
|
||
{t("future.maxPrecip")}:{" "}
|
||
{Math.round(view.front.precipMax)}%
|
||
</span>
|
||
</div>
|
||
{view.front.summary ? (
|
||
<div className="future-trend-summary">
|
||
{Array.isArray(view.front.summaryLines) &&
|
||
view.front.summaryLines.length > 0
|
||
? view.front.summaryLines.map((line, index) => (
|
||
<div key={`${index}-${line}`}>{line}</div>
|
||
))
|
||
: view.front.summary}
|
||
</div>
|
||
) : null}
|
||
</div>
|
||
<div className="future-subsection-title">
|
||
{locale === "en-US" ? "Surface Structure" : "近地面信号"}
|
||
</div>
|
||
<div className="future-trend-grid">
|
||
{view.front.metrics.slice(0, 6).map((metric) => (
|
||
<div key={metric.label} className="future-trend-card">
|
||
<div className="future-trend-label">{metric.label}</div>
|
||
<div
|
||
className={clsx(
|
||
"future-trend-value",
|
||
metric.tone === "warm" && "warm",
|
||
metric.tone === "cold" && "cold",
|
||
)}
|
||
>
|
||
{metric.value}
|
||
</div>
|
||
{getTrendMetricVisual(metric) ? (
|
||
<div
|
||
className={clsx(
|
||
"future-trend-meter",
|
||
getTrendMetricVisual(metric)?.mode === "center" &&
|
||
"center",
|
||
)}
|
||
>
|
||
{getTrendMetricVisual(metric)?.mode === "center" ? (
|
||
<span className="future-trend-meter-midline" />
|
||
) : null}
|
||
<div
|
||
className={clsx(
|
||
"future-trend-meter-fill",
|
||
getTrendMetricVisual(metric)?.tone === "warm" &&
|
||
"warm",
|
||
getTrendMetricVisual(metric)?.tone === "cold" &&
|
||
"cold",
|
||
)}
|
||
style={{
|
||
width: `${getTrendMetricVisual(metric)?.percent ?? 0}%`,
|
||
}}
|
||
/>
|
||
</div>
|
||
) : null}
|
||
<div className="future-trend-note">{metric.note}</div>
|
||
</div>
|
||
))}
|
||
</div>
|
||
<>
|
||
<div className="future-subsection-title">
|
||
{locale === "en-US" ? "Upper-Air Structure" : "高空结构信号"}
|
||
</div>
|
||
{displayedUpperAirSummary ? (
|
||
<div className="future-trend-summary">
|
||
{displayedUpperAirSummary}
|
||
</div>
|
||
) : (
|
||
<div className="future-trend-summary future-trend-summary-muted">
|
||
{locale === "en-US"
|
||
? "Upper-air structure is temporarily unavailable for this city. For now, lean on surface structure and TAF timing."
|
||
: "该城市当前暂无可用的高空结构数据，先以近地面结构和 TAF 时段作为主判断。"}
|
||
</div>
|
||
)}
|
||
{displayedUpperAirMetrics.length > 0 ? (
|
||
<div className="future-trend-grid">
|
||
{displayedUpperAirMetrics.map((metric) => (
|
||
<div key={metric.label} className="future-trend-card">
|
||
<div className="future-trend-label">{metric.label}</div>
|
||
<div
|
||
className={clsx(
|
||
"future-trend-value",
|
||
metric.tone === "warm" && "warm",
|
||
metric.tone === "cold" && "cold",
|
||
)}
|
||
>
|
||
{metric.value}
|
||
</div>
|
||
{getTrendMetricVisual(metric) ? (
|
||
<div
|
||
className={clsx(
|
||
"future-trend-meter",
|
||
getTrendMetricVisual(metric)?.mode === "center" &&
|
||
"center",
|
||
)}
|
||
>
|
||
{getTrendMetricVisual(metric)?.mode === "center" ? (
|
||
<span className="future-trend-meter-midline" />
|
||
) : null}
|
||
<div
|
||
className={clsx(
|
||
"future-trend-meter-fill",
|
||
getTrendMetricVisual(metric)?.tone === "warm" &&
|
||
"warm",
|
||
getTrendMetricVisual(metric)?.tone === "cold" &&
|
||
"cold",
|
||
)}
|
||
style={{
|
||
width: `${getTrendMetricVisual(metric)?.percent ?? 0}%`,
|
||
}}
|
||
/>
|
||
</div>
|
||
) : null}
|
||
<div className="future-trend-note">{metric.note}</div>
|
||
</div>
|
||
))}
|
||
</div>
|
||
) : (
|
||
<div className="future-trend-card future-trend-card-empty">
|
||
<div className="future-trend-label">
|
||
{locale === "en-US" ? "Upper-air source" : "高空数据源"}
|
||
</div>
|
||
<div className="future-trend-value">
|
||
{locale === "en-US" ? "Not available" : "暂不可用"}
|
||
</div>
|
||
<div className="future-trend-note">
|
||
{locale === "en-US"
|
||
? "No upper-air diagnostic feed is attached to this city right now."
|
||
: "当前该城市未接入可用的高空诊断源，所以这里先保留说明卡片。"}
|
||
</div>
|
||
</div>
|
||
)}
|
||
</>
|
||
</section>
|
||
</main>
|
||
</div>
|
||
) : (
|
||
<>
|
||
<div className="history-stats">
|
||
<div className="h-stat-card">
|
||
<span className="label">{t("future.targetForecast")}</span>
|
||
<span className="val">
|
||
{view.forecastEntry?.max_temp ?? "--"}
|
||
{detail.temp_symbol}
|
||
</span>
|
||
</div>
|
||
<div className="h-stat-card">
|
||
<span className="label">{t("future.deb")}</span>
|
||
<span className="val">
|
||
{view.deb ?? "--"}
|
||
{detail.temp_symbol}
|
||
</span>
|
||
</div>
|
||
<div className="h-stat-card">
|
||
<span className="label">{t("future.mu")}</span>
|
||
<span className="val">
|
||
{view.mu != null
|
||
? `${view.mu.toFixed(1)}${detail.temp_symbol}`
|
||
: "--"}
|
||
</span>
|
||
</div>
|
||
<div className="h-stat-card">
|
||
<span className="label">{t("future.score")}</span>
|
||
<span className="val">
|
||
{view.front.score > 0 ? "+" : ""}
|
||
{view.front.score}
|
||
</span>
|
||
</div>
|
||
</div>
|
||
|
||
<section className="future-modal-section">
|
||
<h3>{t("future.targetTempTrend")}</h3>
|
||
<DailyTemperatureChart dateStr={dateStr} />
|
||
</section>
|
||
|
||
<div className="future-modal-grid">
|
||
<section className="future-modal-section">
|
||
<h3>{t("future.probability")}</h3>
|
||
<ProbabilityDistribution
|
||
detail={detail}
|
||
targetDate={dateStr}
|
||
hideTitle
|
||
marketScan={marketScan}
|
||
/>
|
||
</section>
|
||
<section className="future-modal-section">
|
||
<h3>{t("future.models")}</h3>
|
||
<ModelForecast
|
||
detail={detail}
|
||
targetDate={dateStr}
|
||
hideTitle
|
||
/>
|
||
</section>
|
||
</div>
|
||
</>
|
||
)}
|
||
</div>
|
||
</div>
|
||
)}
|
||
</div>
|
||
);
|
||
}
|