终端新增巨鲸盯盘面板:按区域展示 Polymarket 成交量最大的城市和温度合约

This commit is contained in:
2569718930@qq.com
2026-05-25 04:34:58 +08:00
parent f394a44bdc
commit c2a69cb94e
@@ -16,20 +16,6 @@ import {
UserRound,
} from "lucide-react";
import { useEffect, useMemo, useRef, useState } from "react";
import {
Area,
AreaChart,
Bar,
BarChart as ReBarChart,
CartesianGrid,
Line,
LineChart as ReLineChart,
ReferenceLine,
ResponsiveContainer,
Tooltip,
XAxis,
YAxis,
} from "recharts";
import type { ProAccessState, ScanOpportunityRow } from "@/lib/dashboard-types";
import { getInitialLocaleFromNavigator } from "@/lib/i18n";
import { isBrowserLocalFullAccess } from "@/lib/local-dev-access";
@@ -59,6 +45,7 @@ import { scanRootClass } from "@/components/dashboard/scan-root-styles";
import { useRelativeTime } from "@/hooks/useRelativeTime";
import { Panel } from "@/components/dashboard/scan-terminal/Panel";
import { GroupedMarketTable } from "@/components/dashboard/scan-terminal/GroupedMarketTable";
import { LiveTemperatureThresholdChart } from "@/components/dashboard/scan-terminal/LiveTemperatureThresholdChart";
import { rowName, pct, money, temp, edgeClass } from "@/components/dashboard/scan-terminal/utils";
function createEmptyAccess(loading = true): ProAccessState {
@@ -154,13 +141,6 @@ const TERM = {
primary: { en: "Primary", zh: "主信号" },
ai: { en: "AI", zh: "AI" },
closed: { en: "Closed", zh: "已关闭" },
terminalStatus: { en: "Terminal Status", zh: "终端状态" },
tsData: { en: "Data", zh: "数据" },
tsAccess: { en: "Access", zh: "访问权限" },
tsLayout: { en: "Layout", zh: "布局" },
tsLayoutValue: { en: "Multi-panel grid", zh: "多面板网格" },
tsDataLive: { en: "live", zh: "实时" },
tsAccessPaid: { en: "paid", zh: "付费" },
} as const;
function t(key: keyof typeof TERM, isEn: boolean) {
@@ -183,113 +163,6 @@ function decisionLabel(row?: ScanOpportunityRow | null) {
return "Monitor";
}
function decisionClass(label: string) {
const l = label.toLowerCase();
if (l.includes("approve") || l.includes("active") || l.includes("活跃")) {
return "bg-emerald-50 border-emerald-200 text-emerald-700";
}
if (l.includes("watch") || l.includes("观察") || l.includes("monitor")) {
return "bg-amber-50 border-amber-200 text-amber-700";
}
if (l.includes("veto") || l.includes("downgrade") || l.includes("closed") || l.includes("关闭")) {
return "bg-slate-50 border-slate-200 text-slate-500";
}
return "bg-blue-50 border-blue-200 text-blue-700";
}
function SparkArea({
color = "#2563eb",
data,
isEn = true,
}: {
color?: string;
data: { v: number }[];
isEn?: boolean;
}) {
if (!data.length) {
return (
<div className="flex h-full items-center justify-center text-xs text-slate-400">
{t("noData", isEn)}
</div>
);
}
return (
<ResponsiveContainer width="100%" height="100%">
<AreaChart data={data} margin={{ top: 2, right: 0, left: 0, bottom: 2 }}>
<defs>
<linearGradient id={`fill-${color}`} x1="0" y1="0" x2="0" y2="1">
<stop offset="0%" stopColor={color} stopOpacity={0.18} />
<stop offset="100%" stopColor={color} stopOpacity={0.02} />
</linearGradient>
</defs>
<Area
type="monotone"
dataKey="v"
stroke={color}
strokeWidth={2}
fill={`url(#fill-${color})`}
dot={false}
isAnimationActive={false}
/>
</AreaChart>
</ResponsiveContainer>
);
}
function ProbabilityDistributionChart({
points,
isEn = true,
}: {
points?: ScanOpportunityRow["distribution_preview"];
isEn?: boolean;
}) {
if (!points?.length) {
return (
<div className="flex h-full items-center justify-center text-xs text-slate-400">
{t("noDistributionData", isEn)}
</div>
);
}
const chartData = points.map((p) => ({
label: p.label || "",
model: Number((p.model_probability ?? 0) * 100),
market: Number((p.market_probability ?? 0) * 100),
}));
return (
<ResponsiveContainer width="100%" height="100%">
<ReBarChart data={chartData} margin={{ top: 4, right: 4, left: 0, bottom: 4 }}>
<CartesianGrid strokeDasharray="3 3" stroke="#e2e8f0" />
<XAxis
dataKey="label"
tick={{ fontSize: 11, fill: "#64748b" }}
axisLine={{ stroke: "#e2e8f0" }}
tickLine={false}
/>
<YAxis
tick={{ fontSize: 11, fill: "#64748b" }}
axisLine={false}
tickLine={false}
tickFormatter={(v) => `${v}%`}
/>
<Tooltip
contentStyle={{
borderRadius: 4,
border: "1px solid #e2e8f0",
fontSize: 12,
fontFamily: "monospace",
}}
formatter={(value: unknown) =>
`${Number(value).toFixed(1)}%`
}
/>
<Bar dataKey="model" fill="#2563eb" radius={[2, 2, 0, 0]} name={t("model", isEn)} />
<Bar dataKey="market" fill="#059669" radius={[2, 2, 0, 0]} name={t("mkt", isEn)} />
</ReBarChart>
</ResponsiveContainer>
);
}
function tablePrice(row: ScanOpportunityRow) {
return formatPrice(row.midpoint, row.ask, row.bid);
}
@@ -422,317 +295,6 @@ function KoyfinMarketPanel({
);
}
function performanceSeries(row: ScanOpportunityRow | null) {
return buildEvidenceChart(row).data;
}
type ObsPoint = { time?: string | null; temp?: number | null };
type EvidenceSeries = {
key: string;
label: string;
source: string;
color: string;
dashed?: boolean;
featured?: boolean;
values: Array<number | null>;
};
type RunwayObsPayload = {
runway_pairs?: Array<[string, string] | string[] | null> | null;
temperatures?: Array<[number | null, number | null] | Array<number | null> | null> | null;
point_temperatures?: Array<{
runway?: string | null;
tdz_temp?: number | null;
mid_temp?: number | null;
end_temp?: number | null;
} | null> | null;
};
function validNumber(value: unknown): number | null {
return typeof value === "number" && Number.isFinite(value) ? value : null;
}
function normalizeObs(points?: ObsPoint[] | null, limit = 88) {
return (points || [])
.filter((point) => validNumber(point.temp) !== null)
.slice(-limit)
.map((point, index) => ({
label: point.time || String(index + 1),
value: Number(point.temp),
}));
}
function formatChartLabel(value: string) {
if (!value) return "";
const maybeDate = new Date(value);
if (!Number.isNaN(maybeDate.getTime())) {
return maybeDate.toLocaleTimeString("zh-CN", { hour: "2-digit", minute: "2-digit", hour12: false });
}
return value.length > 8 ? value.slice(-8) : value;
}
const DAILY_CHART_HOURS = Array.from(
{ length: 24 },
(_, index) => `${String(index).padStart(2, "0")}:00`,
);
function parseHourOfDay(value?: string | null) {
const raw = String(value || "").trim();
if (!raw) return null;
const parsed = new Date(raw);
if (!Number.isNaN(parsed.getTime())) {
return parsed.getHours();
}
const match = raw.match(/(?:^|\D)([01]?\d|2[0-3])[:][0-5]\d/);
if (match?.[1] !== undefined) {
const hour = Number(match[1]);
return Number.isInteger(hour) && hour >= 0 && hour <= 23 ? hour : null;
}
return null;
}
function seriesStats(values: Array<number | null>) {
const nums = values.filter((value): value is number => validNumber(value) !== null);
const latest = nums.length ? nums[nums.length - 1] : null;
const high = nums.length ? Math.max(...nums) : null;
const first15 = nums.length > 1 ? nums[Math.max(0, nums.length - 15)] : null;
const delta15 = latest !== null && first15 !== null ? latest - first15 : null;
return { latest, high, delta15 };
}
function buildModelPoints(row: ScanOpportunityRow | null, length: number) {
const modelEntries = Object.entries(row?.model_cluster_sources || {})
.map(([label, value]) => [label, validNumber(value)] as const)
.filter((entry): entry is readonly [string, number] => entry[1] !== null)
.slice(0, 4);
const constants: EvidenceSeries[] = modelEntries.map(([label, value], index) => ({
key: `model_${index}`,
label,
source: "Multi-model",
color: ["#2563eb", "#14b8a6", "#7c3aed", "#64748b"][index] || "#64748b",
dashed: true,
values: Array.from({ length }, () => value),
}));
const deb = validNumber(row?.deb_prediction);
if (deb !== null) {
constants.unshift({
key: "deb",
label: "DEB",
source: "DEB",
color: "#f97316",
dashed: true,
values: Array.from({ length }, () => deb),
});
}
return constants;
}
function extractRunwayPointSeries(row: ScanOpportunityRow | null, length: number): EvidenceSeries[] {
const payload = row as
| (ScanOpportunityRow & {
amos?: { runway_obs?: RunwayObsPayload | null; source_label?: string | null; source?: string | null } | null;
runway_obs?: RunwayObsPayload | null;
})
| null;
const runwayObs = payload?.amos?.runway_obs || payload?.runway_obs;
if (!runwayObs) return [];
const pairs = runwayObs.runway_pairs || [];
const runwayTemps = runwayObs.temperatures || [];
const pointTemps = runwayObs.point_temperatures || [];
const source = payload?.amos?.source_label || payload?.amos?.source || "Runway";
const series: EvidenceSeries[] = [];
pairs.forEach((pair, index) => {
const pairLabel = Array.isArray(pair) && pair.length
? pair.filter(Boolean).join("/")
: pointTemps[index]?.runway || `RWY ${index + 1}`;
const values = [
...(Array.isArray(runwayTemps[index]) ? runwayTemps[index] || [] : []),
pointTemps[index]?.tdz_temp,
pointTemps[index]?.mid_temp,
pointTemps[index]?.end_temp,
]
.map(validNumber)
.filter((value): value is number => value !== null);
if (!values.length) return;
const maxTemp = Math.max(...values);
series.push({
key: `runway_${index}`,
label: `${pairLabel} runway`,
source,
color: ["#009688", "#f97316", "#0ea5e9", "#ef4444"][index] || "#64748b",
featured: index === 0,
dashed: index !== 0,
values: Array.from({ length }, () => maxTemp),
});
});
return series.slice(0, 4);
}
function buildEvidenceChart(row: ScanOpportunityRow | null) {
const settlement = normalizeObs(row?.settlement_today_obs || row?.metar_context?.settlement_today_obs);
const metar = normalizeObs(row?.metar_today_obs || row?.metar_context?.today_obs || row?.metar_recent_obs || row?.metar_context?.recent_obs);
const labels = DAILY_CHART_HOURS;
const length = labels.length;
const align = (points: Array<{ label: string; value: number }>) => {
if (!points.length) return Array.from({ length }, (): number | null => null);
const values = Array.from({ length }, (): number | null => null);
points.forEach((point, index) => {
const hour = parseHourOfDay(point.label);
const bucket = hour ?? Math.min(index, length - 1);
values[bucket] = point.value;
});
return values;
};
const series: EvidenceSeries[] = [];
series.push(...extractRunwayPointSeries(row, length));
if (settlement.length) {
series.push({
key: "settlement",
label: "Settlement runway",
source: row?.metar_context?.station_label || row?.metar_context?.station || row?.airport || "Settlement",
color: "#009688",
featured: true,
values: align(settlement),
});
}
if (metar.length) {
series.push({
key: "metar",
label: "METAR official",
source: row?.airport || row?.metar_context?.source || "METAR",
color: "#0ea5e9",
dashed: true,
values: align(metar),
});
}
series.push(...buildModelPoints(row, length));
const fallbackValue =
validNumber(row?.current_temp) ??
validNumber(row?.current_max_so_far) ??
validNumber(row?.deb_prediction) ??
validNumber(row?.target_value) ??
validNumber(row?.target_threshold);
if (!series.length && fallbackValue !== null) {
series.push({
key: "current",
label: "Current reference",
source: row?.metar_context?.source || "Live",
color: "#009688",
featured: true,
values: Array.from({ length }, () => fallbackValue),
});
}
const data = labels.map((label, index) => {
const point: Record<string, string | number | null> = { label };
series.forEach((item) => {
point[item.key] = item.values[index] ?? null;
});
return point;
});
return { data, series };
}
function NormalizedPerformancePanel({
isEn,
row,
rows = [],
onSelect,
}: {
isEn: boolean;
row: ScanOpportunityRow | null;
rows?: ScanOpportunityRow[];
onSelect?: (row: ScanOpportunityRow) => void;
}) {
const { data, series } = useMemo(() => buildEvidenceChart(row), [row]);
const threshold = validNumber(row?.target_threshold) ?? validNumber(row?.target_value);
const tableRows = series.slice(0, 5).map((item) => ({ ...item, ...seriesStats(item.values) }));
return (
<Panel
title={isEn ? "Live Temperature Trend & Option Threshold Lines" : "实时气温走势与期权阈值线"}
>
<div className="flex h-full min-h-[420px] flex-col">
<div className="shrink-0 border-b border-slate-200 bg-white px-3 py-2">
<div className="mb-2 flex items-end justify-between gap-3 text-[10px]">
<div className="space-y-0.5">
<div className="font-mono font-black text-teal-700">
{isEn ? "Settlement live" : "跑道实测"} {temp(validNumber(row?.current_temp))}
</div>
<div className="font-mono font-black text-blue-600">
METAR {temp(validNumber(row?.metar_context?.airport_current_temp ?? row?.metar_context?.last_temp))}
</div>
</div>
<div className="text-right font-mono font-black text-slate-800">
{isEn ? "Threshold" : "当日阈值"} {temp(threshold)}
</div>
</div>
<div className="grid grid-cols-5 gap-1.5 text-[10px]">
{tableRows.map((item) => (
<div key={item.key} className={clsx("rounded border px-2 py-1.5", item.featured ? "border-teal-200 bg-teal-50" : "border-slate-200 bg-slate-50")}>
<div className="flex items-center gap-1">
<span className="h-1.5 w-4 rounded-full" style={{ backgroundColor: item.color }} />
<span className="truncate font-black text-slate-700">{item.label}</span>
</div>
<div className="mt-1 grid grid-cols-3 gap-1 font-mono text-[9px] text-slate-600">
<span>now: {temp(item.latest)}</span>
<span>max: {temp(item.high)}</span>
<span>15m: {item.delta15 === null ? "--" : `${item.delta15 >= 0 ? "+" : ""}${item.delta15.toFixed(1)}°`}</span>
</div>
</div>
))}
</div>
</div>
<div className="relative min-h-0 flex-1 p-2">
<div className="absolute left-3 top-3 z-10 rounded border border-slate-200 bg-white px-2 py-1 text-[10px] font-black text-slate-800 shadow-sm">
{rowName(row)} <span className="ml-1 text-teal-600">{row?.target_label || row?.market_direction || ""}</span>
</div>
<ResponsiveContainer width="100%" height="100%">
<ReLineChart data={data} margin={{ top: 16, right: 28, left: 8, bottom: 8 }}>
<CartesianGrid stroke="#dbe6ef" strokeDasharray="2 2" />
<XAxis dataKey="label" tick={{ fontSize: 10, fill: "#64748b" }} tickLine={false} axisLine={{ stroke: "#cbd5e1" }} />
<YAxis tick={{ fontSize: 10, fill: "#64748b" }} tickFormatter={(v) => `${Number(v).toFixed(1)}°`} orientation="right" axisLine={{ stroke: "#cbd5e1" }} tickLine={false} />
{threshold !== null && (
<ReferenceLine
y={threshold}
stroke="#f97316"
strokeDasharray="4 3"
label={{ value: `UMA ${threshold.toFixed(1)}°`, fill: "#f97316", fontSize: 10, position: "right" }}
/>
)}
<Tooltip
contentStyle={{
border: "1px solid #cbd5e1",
borderRadius: 4,
fontSize: 11,
boxShadow: "0 8px 24px rgba(15,23,42,.12)",
}}
formatter={(value: unknown) => `${Number(value).toFixed(2)}°`}
/>
{series.map((item) => (
<Line
key={item.key}
dataKey={item.key}
stroke={item.color}
strokeWidth={item.featured ? 2.4 : 1.4}
strokeDasharray={item.dashed ? "4 3" : undefined}
dot={false}
isAnimationActive={false}
name={item.label}
type="stepAfter"
/>
))}
</ReLineChart>
</ResponsiveContainer>
</div>
</div>
</Panel>
);
}
function PolyWeatherTerminal({
generatedText,
isEn,
@@ -1087,12 +649,7 @@ function PolyWeatherTerminal({
</div>
<div className="grid min-h-0 grid-rows-[auto_1fr_0.38fr] gap-2">
<NormalizedPerformancePanel
isEn={isEn}
onSelect={setSelectedRow}
row={selectedRow}
rows={topRows}
/>
<LiveTemperatureThresholdChart isEn={isEn} row={selectedRow} />
</div>
<div className="flex min-h-0 flex-col gap-2">
@@ -1120,29 +677,8 @@ function PolyWeatherTerminal({
selectedId={selectedRow?.id}
title={isEn ? "Watchlist & Risk" : "观察与风险"}
/>
<Panel title={t("terminalStatus", isEn)} className="shrink-0">
<div className="grid grid-cols-3 gap-1.5 p-2 text-center text-[10px]">
{[
[t("rows", isEn), filteredRegionRows.length],
[t("avgEdge", isEn), pct(avgEdge)],
[t("liquidity", isEn), money(totalLiquidity)],
[t("tsData", isEn), generatedText || t("tsDataLive", isEn)],
[t("tsAccess", isEn), t("tsAccessPaid", isEn)],
[t("tsLayout", isEn), "Koyfin"],
].map(([label, value]) => (
<div key={String(label)} className="rounded border border-slate-200 bg-slate-50 px-2 py-1.5">
<div className="truncate text-[9px] font-black uppercase text-slate-400">
{label}
</div>
<div className="truncate font-mono font-black text-slate-800">
{value}
</div>
</div>
))}
</div>
</Panel>
<TrainingDataPanel isEn={isEn} />
<RegionalWhaleWatch isEn={isEn} rows={filteredRegionRows} />
</div>
</div>
</main>
@@ -1151,6 +687,59 @@ function PolyWeatherTerminal({
);
}
function RegionalWhaleWatch({
isEn,
rows,
}: {
isEn: boolean;
rows: ScanOpportunityRow[];
}) {
const regions = ["americas", "europe", "asia_pacific", "middle_east_africa"];
const regionLabels: Record<string, string> = {
americas: isEn ? "Americas" : "美洲",
europe: isEn ? "Europe" : "欧洲",
asia_pacific: isEn ? "Asia-Pacific" : "亚太",
middle_east_africa: isEn ? "ME & Africa" : "中东非洲",
};
const topByRegion = regions.map((region) => {
const regionRows = rows
.filter((row) => row.trading_region === region)
.sort((a, b) => (Number(b.volume || b.book_liquidity || 0)) - (Number(a.volume || a.book_liquidity || 0)))
.slice(0, 3);
return { region, label: regionLabels[region] || region, rows: regionRows };
}).filter((r) => r.rows.length > 0);
if (!topByRegion.length) return null;
return (
<Panel title={isEn ? "Whale Watch" : "巨鲸盯盘"}>
<div className="divide-y divide-slate-100 text-[11px]">
{topByRegion.map(({ region, label, rows: regionRows }) => (
<div key={region} className="py-1.5 px-2">
<div className="mb-1 text-[10px] font-black uppercase text-slate-400">{label}</div>
{regionRows.map((row) => {
const vol = Number(row.volume || row.book_liquidity || 0);
return (
<div key={row.id} className="flex items-center justify-between py-0.5">
<span className="font-semibold text-slate-800 truncate max-w-[120px]">
{row.city_display_name || row.city}
</span>
<span className="text-[10px] text-slate-500 truncate max-w-[100px] text-right">
{row.target_label || row.market_question?.slice(0, 30) || "--"}
</span>
<span className="ml-2 font-mono text-[10px] font-bold text-blue-700 shrink-0">
{vol >= 1000 ? `$${(vol / 1000).toFixed(1)}K` : `$${Math.round(vol)}`}
</span>
</div>
);
})}
</div>
))}
</div>
</Panel>
);
}
function TrainingDataPanel({ isEn }: { isEn: boolean }) {
const [data, setData] = useState<Array<{
city_id: string; name: string;