feat: implement ScanTerminalDashboard component for weather market monitoring and visualization
This commit is contained in:
@@ -6,22 +6,15 @@ import {
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Activity,
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Activity,
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BarChart3,
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BarChart3,
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Bell,
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Bell,
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ChevronDown,
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ChevronLeft,
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ChevronLeft,
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ChevronRight,
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CloudSun,
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CreditCard,
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Gauge,
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Gauge,
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LineChart,
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LineChart,
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LockKeyhole,
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LogIn,
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Menu,
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Menu,
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RefreshCw,
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Search,
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Search,
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Table2,
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Table2,
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UserRound,
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UserRound,
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} from "lucide-react";
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} from "lucide-react";
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import { Fragment, useCallback, useEffect, useMemo, useRef, useState } from "react";
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import { useEffect, useMemo, useRef, useState } from "react";
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import {
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import {
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Area,
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Area,
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AreaChart,
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AreaChart,
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@@ -65,7 +58,6 @@ import { scanRootClass } from "@/components/dashboard/scan-root-styles";
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import { useRelativeTime } from "@/hooks/useRelativeTime";
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import { useRelativeTime } from "@/hooks/useRelativeTime";
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import { Panel } from "@/components/dashboard/scan-terminal/Panel";
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import { Panel } from "@/components/dashboard/scan-terminal/Panel";
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import { GroupedMarketTable } from "@/components/dashboard/scan-terminal/GroupedMarketTable";
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import { GroupedMarketTable } from "@/components/dashboard/scan-terminal/GroupedMarketTable";
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import { RunwayMeteorologyPanel } from "@/components/dashboard/scan-terminal/RunwayMeteorologyPanel";
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import { rowName, pct, money, temp, edgeClass } from "@/components/dashboard/scan-terminal/utils";
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import { rowName, pct, money, temp, edgeClass } from "@/components/dashboard/scan-terminal/utils";
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function createEmptyAccess(loading = true): ProAccessState {
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function createEmptyAccess(loading = true): ProAccessState {
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@@ -297,6 +289,566 @@ function ProbabilityDistributionChart({
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);
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);
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}
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}
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function tablePrice(row: ScanOpportunityRow) {
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return formatPrice(row.midpoint, row.ask, row.bid);
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}
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function ticker(row: ScanOpportunityRow) {
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return String(row.airport || row.market_key || row.city || "--")
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.replace(/[^A-Za-z0-9]/g, "")
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.slice(0, 6)
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.toUpperCase();
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}
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function KoyfinRowsTable({
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compact = false,
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isEn,
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onSelect,
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rows,
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selectedId,
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}: {
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compact?: boolean;
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isEn: boolean;
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onSelect: (row: ScanOpportunityRow) => void;
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rows: ScanOpportunityRow[];
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selectedId?: string | null;
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}) {
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return (
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<table className="w-full border-collapse text-[11px]">
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<thead>
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<tr className="border-b border-slate-200 bg-[#f3f5f7] text-[9px] uppercase tracking-wide text-slate-500">
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<th className="w-5 px-2 py-1 text-left font-black">
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<span className="block h-3 w-3 rounded-[2px] border border-slate-300 bg-white" />
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</th>
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<th className="px-1.5 py-1 text-left font-black">
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{isEn ? "Weather Contract" : "天气合约"}
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</th>
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{!compact && (
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<th className="px-1.5 py-1 text-left font-black">
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{isEn ? "Ticker" : "代码"}
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</th>
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)}
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<th className="px-1.5 py-1 text-right font-black">
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{isEn ? "Price" : "价格"}
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</th>
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<th className="px-1.5 py-1 text-right font-black">
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{isEn ? "Chg" : "变化"}
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</th>
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<th className="px-2 py-1 text-right font-black">%</th>
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</tr>
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</thead>
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<tbody>
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{rows.map((row) => {
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const edge = Number(row.edge_percent ?? row.signed_gap ?? row.gap ?? 0);
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const positive = edge >= 0;
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return (
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<tr
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key={row.id}
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onClick={() => onSelect(row)}
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className={clsx(
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"cursor-pointer border-b border-slate-100 hover:bg-blue-50/70",
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selectedId === row.id && "bg-blue-50",
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)}
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>
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<td className="px-2 py-1">
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<span className="block h-3 w-3 rounded-[2px] border border-slate-300 bg-white" />
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</td>
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<td className="px-1.5 py-1">
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<div className="truncate font-bold text-slate-800">
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{rowName(row)}
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</div>
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<div className="truncate text-[9px] font-medium text-slate-400">
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{row.target_label || row.market_question || row.airport || "--"}
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</div>
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</td>
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{!compact && (
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<td className="px-1.5 py-1 font-mono font-bold text-slate-600">
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{ticker(row)}
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</td>
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)}
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<td className="px-1.5 py-1 text-right font-mono font-bold text-slate-800">
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{tablePrice(row)}
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</td>
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<td
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className={clsx(
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"px-1.5 py-1 text-right font-mono font-bold",
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positive ? "text-emerald-700" : "text-red-600",
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)}
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>
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{Number.isFinite(edge) ? `${positive ? "+" : ""}${edge.toFixed(1)}` : "--"}
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</td>
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<td
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className={clsx(
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"px-2 py-1 text-right font-mono font-bold",
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positive ? "text-emerald-700" : "text-red-600",
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)}
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>
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{pct(row.market_probability ?? row.market_event_probability ?? row.model_probability)}
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</td>
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</tr>
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);
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})}
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</tbody>
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</table>
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);
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}
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function KoyfinMarketPanel({
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compact,
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isEn,
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onSelect,
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rows,
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selectedId,
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title,
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}: {
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compact?: boolean;
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isEn: boolean;
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onSelect: (row: ScanOpportunityRow) => void;
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rows: ScanOpportunityRow[];
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selectedId?: string | null;
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title: string;
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}) {
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return (
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<Panel title={title}>
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<KoyfinRowsTable
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compact={compact}
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isEn={isEn}
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onSelect={onSelect}
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rows={rows}
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selectedId={selectedId}
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/>
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</Panel>
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);
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}
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function WeatherNewsPanel({
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isEn,
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rows,
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}: {
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isEn: boolean;
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rows: ScanOpportunityRow[];
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}) {
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const items = rows.slice(0, 3).map((row) => ({
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title:
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(isEn ? row.ai_city_thesis_en || row.ai_reason_en : row.ai_city_thesis_zh || row.ai_reason_zh) ||
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row.market_question ||
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`${rowName(row)} ${isEn ? "weather contract update" : "天气合约更新"}`,
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source: row.airport || "PolyWeather",
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time: row.local_time || row.selected_date || "--",
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}));
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return (
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<Panel title={isEn ? "Weather Market News" : "天气市场新闻"}>
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<div className="divide-y divide-slate-100 text-[11px]">
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{items.map((item, index) => (
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<div
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key={`${item.source}-${index}`}
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className="grid grid-cols-[1fr_auto_auto] items-center gap-3 px-3 py-1.5 hover:bg-slate-50"
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>
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<div className="truncate font-semibold text-slate-700">
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{item.title}
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</div>
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<div className="font-medium text-slate-400">{item.source}</div>
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<div className="font-mono text-slate-400">{item.time}</div>
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</div>
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))}
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</div>
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</Panel>
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);
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}
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function performanceSeries(row: ScanOpportunityRow | null) {
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return buildEvidenceChart(row).data;
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}
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type ObsPoint = { time?: string | null; temp?: number | null };
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type EvidenceSeries = {
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key: string;
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label: string;
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source: string;
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color: string;
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dashed?: boolean;
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featured?: boolean;
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values: Array<number | null>;
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};
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type RunwayObsPayload = {
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runway_pairs?: Array<[string, string] | string[] | null> | null;
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temperatures?: Array<[number | null, number | null] | Array<number | null> | null> | null;
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point_temperatures?: Array<{
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runway?: string | null;
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tdz_temp?: number | null;
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mid_temp?: number | null;
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end_temp?: number | null;
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} | null> | null;
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};
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function validNumber(value: unknown): number | null {
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return typeof value === "number" && Number.isFinite(value) ? value : null;
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}
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function normalizeObs(points?: ObsPoint[] | null, limit = 88) {
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return (points || [])
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.filter((point) => validNumber(point.temp) !== null)
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.slice(-limit)
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.map((point, index) => ({
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label: point.time || String(index + 1),
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value: Number(point.temp),
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}));
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}
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function formatChartLabel(value: string) {
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if (!value) return "";
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const maybeDate = new Date(value);
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if (!Number.isNaN(maybeDate.getTime())) {
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return maybeDate.toLocaleTimeString("zh-CN", { hour: "2-digit", minute: "2-digit", hour12: false });
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}
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return value.length > 8 ? value.slice(-8) : value;
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}
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function seriesStats(values: Array<number | null>) {
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const nums = values.filter((value): value is number => validNumber(value) !== null);
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const latest = nums.length ? nums[nums.length - 1] : null;
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const high = nums.length ? Math.max(...nums) : null;
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const first15 = nums.length > 1 ? nums[Math.max(0, nums.length - 15)] : null;
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const delta15 = latest !== null && first15 !== null ? latest - first15 : null;
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return { latest, high, delta15 };
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}
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function buildModelPoints(row: ScanOpportunityRow | null, length: number) {
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const modelEntries = Object.entries(row?.model_cluster_sources || {})
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.map(([label, value]) => [label, validNumber(value)] as const)
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.filter((entry): entry is readonly [string, number] => entry[1] !== null)
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.slice(0, 4);
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const constants: EvidenceSeries[] = modelEntries.map(([label, value], index) => ({
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key: `model_${index}`,
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label,
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|
source: "Multi-model",
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color: ["#2563eb", "#14b8a6", "#7c3aed", "#64748b"][index] || "#64748b",
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|
dashed: true,
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values: Array.from({ length }, () => value),
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}));
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const deb = validNumber(row?.deb_prediction);
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if (deb !== null) {
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constants.unshift({
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key: "deb",
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label: "DEB",
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|
source: "DEB",
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|
color: "#f97316",
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|
dashed: true,
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values: Array.from({ length }, () => deb),
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});
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}
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return constants;
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|
}
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|
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function extractRunwayPointSeries(row: ScanOpportunityRow | null, length: number): EvidenceSeries[] {
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const payload = row as
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|
| (ScanOpportunityRow & {
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|
amos?: { runway_obs?: RunwayObsPayload | null; source_label?: string | null; source?: string | null } | null;
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|
runway_obs?: RunwayObsPayload | null;
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|
})
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|
| null;
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|
const runwayObs = payload?.amos?.runway_obs || payload?.runway_obs;
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|
if (!runwayObs) return [];
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|
const pairs = runwayObs.runway_pairs || [];
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|
const runwayTemps = runwayObs.temperatures || [];
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|
const pointTemps = runwayObs.point_temperatures || [];
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|
const source = payload?.amos?.source_label || payload?.amos?.source || "Runway";
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|
const series: EvidenceSeries[] = [];
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|
pairs.forEach((pair, index) => {
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|
const pairLabel = Array.isArray(pair) && pair.length
|
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|
? pair.filter(Boolean).join("/")
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|
: pointTemps[index]?.runway || `RWY ${index + 1}`;
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|
const values = [
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|
...(Array.isArray(runwayTemps[index]) ? runwayTemps[index] || [] : []),
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|
pointTemps[index]?.tdz_temp,
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|
pointTemps[index]?.mid_temp,
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|
pointTemps[index]?.end_temp,
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|
]
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|
.map(validNumber)
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|
.filter((value): value is number => value !== null);
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|
if (!values.length) return;
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|
const maxTemp = Math.max(...values);
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|
series.push({
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|
key: `runway_${index}`,
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|
label: `${pairLabel} runway`,
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|
source,
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|
color: ["#009688", "#f97316", "#0ea5e9", "#ef4444"][index] || "#64748b",
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|
featured: index === 0,
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|
dashed: index !== 0,
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|
values: Array.from({ length }, () => maxTemp),
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|
});
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|
});
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|
return series.slice(0, 4);
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|
}
|
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|
|
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|
function buildEvidenceChart(row: ScanOpportunityRow | null) {
|
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|
const settlement = normalizeObs(row?.settlement_today_obs || row?.metar_context?.settlement_today_obs);
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|
const metar = normalizeObs(row?.metar_today_obs || row?.metar_context?.today_obs || row?.metar_recent_obs || row?.metar_context?.recent_obs);
|
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|
const baseLabels = settlement.length >= metar.length ? settlement.map((point) => point.label) : metar.map((point) => point.label);
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|
const length = Math.max(baseLabels.length, settlement.length, metar.length, 24);
|
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|
const labels = length === baseLabels.length
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|
? baseLabels
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|
: Array.from({ length }, (_, index) => baseLabels[index] || `${String(index).padStart(2, "0")}:00`);
|
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|
|
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|
const align = (points: Array<{ label: string; value: number }>) => {
|
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|
if (!points.length) return Array.from({ length }, () => null);
|
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|
const offset = Math.max(0, length - points.length);
|
||||||
|
return Array.from({ length }, (_, index) => (index < offset ? null : points[index - offset]?.value ?? null));
|
||||||
|
};
|
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|
|
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|
const series: EvidenceSeries[] = [];
|
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|
series.push(...extractRunwayPointSeries(row, length));
|
||||||
|
if (settlement.length) {
|
||||||
|
series.push({
|
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|
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: formatChartLabel(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"}
|
||||||
|
actions={
|
||||||
|
<button className="rounded border border-slate-300 bg-white px-2 py-0.5 text-[9px] font-bold uppercase text-slate-500 hover:bg-slate-50">
|
||||||
|
{isEn ? "Export" : "导出"}
|
||||||
|
</button>
|
||||||
|
}
|
||||||
|
>
|
||||||
|
<div className="flex h-full min-h-[420px] flex-col">
|
||||||
|
<div className="flex shrink-0 overflow-x-auto border-b border-slate-200 bg-[#f5f7f9] text-[10px] font-black text-slate-600 scrollbar-none">
|
||||||
|
{rows.slice(0, 18).map((item) => (
|
||||||
|
<button
|
||||||
|
key={item.id}
|
||||||
|
type="button"
|
||||||
|
onClick={() => onSelect?.(item)}
|
||||||
|
className={clsx(
|
||||||
|
"min-w-[76px] border-r border-slate-200 px-3 py-2 text-center hover:bg-white",
|
||||||
|
item.id === row?.id ? "bg-white text-blue-600 shadow-[inset_0_2px_0_#2563eb]" : "text-slate-600",
|
||||||
|
)}
|
||||||
|
>
|
||||||
|
<span className="block truncate">{rowName(item)}</span>
|
||||||
|
</button>
|
||||||
|
))}
|
||||||
|
</div>
|
||||||
|
<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 FactorMatrix({
|
||||||
|
isEn,
|
||||||
|
rows,
|
||||||
|
}: {
|
||||||
|
isEn: boolean;
|
||||||
|
rows: ScanOpportunityRow[];
|
||||||
|
}) {
|
||||||
|
const buckets = [
|
||||||
|
[isEn ? "Heat" : "高温", rows.filter((r) => r.risk_level === "high")],
|
||||||
|
[isEn ? "Live Edge" : "实况优势", rows.filter((r) => Number(r.edge_percent || 0) > 0)],
|
||||||
|
[isEn ? "Tradable" : "可交易", rows.filter((r) => r.tradable)],
|
||||||
|
[isEn ? "AI Approved" : "AI 通过", rows.filter((r) => String(r.ai_decision || "").includes("approve"))],
|
||||||
|
[isEn ? "Watch" : "观察", rows.filter((r) => getSignalState(r) === "watch")],
|
||||||
|
[isEn ? "Closed" : "关闭", rows.filter((r) => r.closed)],
|
||||||
|
];
|
||||||
|
return (
|
||||||
|
<Panel title={isEn ? "Weather Equity Factors" : "天气交易因子"}>
|
||||||
|
<div className="grid h-full grid-cols-3 gap-2 p-3">
|
||||||
|
{buckets.map(([label, list]) => {
|
||||||
|
const count = Array.isArray(list) ? list.length : 0;
|
||||||
|
const ratio = rows.length ? count / rows.length : 0;
|
||||||
|
const tone =
|
||||||
|
ratio >= 0.5 ? "bg-emerald-100 text-emerald-800 border-emerald-200" :
|
||||||
|
ratio >= 0.2 ? "bg-amber-100 text-amber-800 border-amber-200" :
|
||||||
|
"bg-slate-100 text-slate-600 border-slate-200";
|
||||||
|
return (
|
||||||
|
<div key={String(label)} className={clsx("grid place-items-center rounded border p-2 text-center", tone)}>
|
||||||
|
<div className="font-mono text-sm font-black">{(ratio * 100).toFixed(1)}%</div>
|
||||||
|
<div className="mt-1 text-[10px] font-black uppercase">{String(label)}</div>
|
||||||
|
</div>
|
||||||
|
);
|
||||||
|
})}
|
||||||
|
</div>
|
||||||
|
</Panel>
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
|
function YieldLikeTable({
|
||||||
|
isEn,
|
||||||
|
rows,
|
||||||
|
}: {
|
||||||
|
isEn: boolean;
|
||||||
|
rows: ScanOpportunityRow[];
|
||||||
|
}) {
|
||||||
|
const regionStats = TRADING_REGIONS.map((region) => {
|
||||||
|
const regionRows = rows.filter((row) => String(row.trading_region).toLowerCase() === region.key);
|
||||||
|
const avgEdge = regionRows.reduce((sum, row) => sum + Number(row.edge_percent || 0), 0) / Math.max(regionRows.length, 1);
|
||||||
|
const avgProb = regionRows.reduce((sum, row) => sum + Number(row.model_probability ?? row.model_event_probability ?? 0), 0) / Math.max(regionRows.length, 1);
|
||||||
|
return {
|
||||||
|
label: isEn ? region.labelEn : region.labelZh,
|
||||||
|
edge: avgEdge,
|
||||||
|
prob: avgProb,
|
||||||
|
liq: regionRows.reduce((sum, row) => sum + Number(row.book_liquidity || row.market_liquidity || 0), 0),
|
||||||
|
count: regionRows.length,
|
||||||
|
};
|
||||||
|
}).filter((row) => row.count > 0).slice(0, 7);
|
||||||
|
return (
|
||||||
|
<Panel title={isEn ? "Regional Weather Yields" : "区域天气收益率"}>
|
||||||
|
<table className="w-full border-collapse text-[11px]">
|
||||||
|
<thead>
|
||||||
|
<tr className="border-b border-slate-200 bg-[#f3f5f7] text-[9px] uppercase text-slate-500">
|
||||||
|
<th className="px-3 py-1 text-left font-black">{isEn ? "Region" : "区域"}</th>
|
||||||
|
<th className="px-2 py-1 text-right font-black">1D</th>
|
||||||
|
<th className="px-2 py-1 text-right font-black">5D</th>
|
||||||
|
<th className="px-2 py-1 text-right font-black">10D</th>
|
||||||
|
<th className="px-3 py-1 text-right font-black">{isEn ? "Liq" : "流动性"}</th>
|
||||||
|
</tr>
|
||||||
|
</thead>
|
||||||
|
<tbody>
|
||||||
|
{regionStats.map((row) => (
|
||||||
|
<tr key={row.label} className="border-b border-slate-100">
|
||||||
|
<td className="px-3 py-1.5 font-bold text-slate-800">{row.label}</td>
|
||||||
|
<td className={clsx("px-2 py-1.5 text-right font-mono font-bold", edgeClass(row.edge))}>{pct(row.edge)}</td>
|
||||||
|
<td className="px-2 py-1.5 text-right font-mono">{pct(row.prob)}</td>
|
||||||
|
<td className="px-2 py-1.5 text-right font-mono">{pct(row.edge + row.prob * 0.2)}</td>
|
||||||
|
<td className="px-3 py-1.5 text-right font-mono">{money(row.liq)}</td>
|
||||||
|
</tr>
|
||||||
|
))}
|
||||||
|
</tbody>
|
||||||
|
</table>
|
||||||
|
</Panel>
|
||||||
|
);
|
||||||
|
}
|
||||||
|
|
||||||
function PolyWeatherTerminal({
|
function PolyWeatherTerminal({
|
||||||
generatedText,
|
generatedText,
|
||||||
isEn,
|
isEn,
|
||||||
@@ -381,6 +933,23 @@ function PolyWeatherTerminal({
|
|||||||
.filter((row) => decisionLabel(row) === "Watch" || !row.tradable)
|
.filter((row) => decisionLabel(row) === "Watch" || !row.tradable)
|
||||||
.slice(0, 8);
|
.slice(0, 8);
|
||||||
}, [filteredRegionRows]);
|
}, [filteredRegionRows]);
|
||||||
|
const topRows = filteredRegionRows.slice(0, 18);
|
||||||
|
const activeRows = filteredRegionRows
|
||||||
|
.filter((row) => getSignalState(row) === "active" || row.tradable)
|
||||||
|
.slice(0, 10);
|
||||||
|
const heatRows = filteredRegionRows
|
||||||
|
.filter((row) => row.risk_level === "high" || Number(row.current_temp ?? 0) >= 30)
|
||||||
|
.slice(0, 10);
|
||||||
|
const liquidRows = [...filteredRegionRows]
|
||||||
|
.sort(
|
||||||
|
(a, b) =>
|
||||||
|
Number(b.book_liquidity || b.market_liquidity || b.volume || 0) -
|
||||||
|
Number(a.book_liquidity || a.market_liquidity || a.volume || 0),
|
||||||
|
)
|
||||||
|
.slice(0, 9);
|
||||||
|
const negativeRows = filteredRegionRows
|
||||||
|
.filter((row) => Number(row.edge_percent ?? row.signed_gap ?? row.gap ?? 0) < 0)
|
||||||
|
.slice(0, 8);
|
||||||
|
|
||||||
const selectedSignal = selectedRow ? getSignalState(selectedRow) : "data" as const;
|
const selectedSignal = selectedRow ? getSignalState(selectedRow) : "data" as const;
|
||||||
const selectedLabel = selectedRow ? getSignalLabel(selectedSignal, isEn) : "";
|
const selectedLabel = selectedRow ? getSignalLabel(selectedSignal, isEn) : "";
|
||||||
@@ -389,6 +958,9 @@ function PolyWeatherTerminal({
|
|||||||
() => buildContinentGroups(filteredRegionRows, isEn),
|
() => buildContinentGroups(filteredRegionRows, isEn),
|
||||||
[filteredRegionRows, isEn]
|
[filteredRegionRows, isEn]
|
||||||
);
|
);
|
||||||
|
const firstRegionRows =
|
||||||
|
continentGroups.find((group) => group.key !== "active_signals")?.rows.slice(0, 8) ||
|
||||||
|
topRows.slice(0, 8);
|
||||||
const [mobileTab, setMobileTab] = useState<string>("active_signals");
|
const [mobileTab, setMobileTab] = useState<string>("active_signals");
|
||||||
const mobileActiveGroup = useMemo(
|
const mobileActiveGroup = useMemo(
|
||||||
() => continentGroups.find((g) => g.key === mobileTab) || continentGroups[0],
|
() => continentGroups.find((g) => g.key === mobileTab) || continentGroups[0],
|
||||||
@@ -586,11 +1158,9 @@ function PolyWeatherTerminal({
|
|||||||
</div>
|
</div>
|
||||||
|
|
||||||
{/* Desktop layout */}
|
{/* Desktop layout */}
|
||||||
<div className="hidden lg:grid lg:grid-cols-[1.1fr_1.65fr_0.95fr] h-full gap-2 min-h-0">
|
<div className="hidden h-full min-h-0 lg:grid lg:grid-cols-[0.96fr_1.72fr_0.96fr] gap-2">
|
||||||
{/* Column 1 */}
|
<div className="flex min-h-0 flex-col gap-2">
|
||||||
<div className="flex flex-col gap-2 min-h-0 h-full">
|
<div className="flex shrink-0 items-center gap-1 overflow-x-auto rounded-[4px] border border-[#cfd6df] bg-white p-1 scrollbar-none">
|
||||||
{/* Koyfin-style Region Selector */}
|
|
||||||
<div className="flex items-center gap-1 overflow-x-auto bg-white border border-[#d2d9e2] rounded-[4px] p-1 shrink-0 scrollbar-none">
|
|
||||||
{regionTabs.map((tab) => {
|
{regionTabs.map((tab) => {
|
||||||
const isActive = selectedRegionKey === tab.key;
|
const isActive = selectedRegionKey === tab.key;
|
||||||
return (
|
return (
|
||||||
@@ -611,188 +1181,91 @@ function PolyWeatherTerminal({
|
|||||||
})}
|
})}
|
||||||
</div>
|
</div>
|
||||||
|
|
||||||
<Panel title={isEn ? "Weather Contracts" : "天气合约"} className="flex-1 min-h-0">
|
<KoyfinMarketPanel
|
||||||
<div className="grid grid-cols-3 border-b border-slate-200 text-center bg-[#f8f9fa] shrink-0">
|
isEn={isEn}
|
||||||
<div className="py-2 border-r border-slate-200">
|
onSelect={setSelectedRow}
|
||||||
<div className="text-[10px] font-bold uppercase text-slate-400">
|
rows={topRows}
|
||||||
{t("rows", isEn)}
|
selectedId={selectedRow?.id}
|
||||||
</div>
|
title={isEn ? "Weather Contract Markets" : "天气合约市场"}
|
||||||
<div className="font-mono text-base font-black text-slate-800">{filteredRegionRows.length}</div>
|
/>
|
||||||
</div>
|
<KoyfinMarketPanel
|
||||||
<div className="py-2 border-r border-slate-200">
|
compact
|
||||||
<div className="text-[10px] font-bold uppercase text-slate-400">
|
isEn={isEn}
|
||||||
{t("avgEdge", isEn)}
|
onSelect={setSelectedRow}
|
||||||
</div>
|
rows={activeRows.length ? activeRows : topRows.slice(0, 8)}
|
||||||
<div className={clsx("font-mono text-base font-black", edgeClass(avgEdge))}>
|
selectedId={selectedRow?.id}
|
||||||
{pct(avgEdge)}
|
title={isEn ? "Active Signal Markets" : "活跃信号市场"}
|
||||||
</div>
|
/>
|
||||||
</div>
|
<KoyfinMarketPanel
|
||||||
<div className="py-2">
|
compact
|
||||||
<div className="text-[10px] font-bold uppercase text-slate-400">
|
isEn={isEn}
|
||||||
{t("liquidity", isEn)}
|
onSelect={setSelectedRow}
|
||||||
</div>
|
rows={firstRegionRows}
|
||||||
<div className="font-mono text-base font-black text-slate-800">
|
selectedId={selectedRow?.id}
|
||||||
{money(totalLiquidity)}
|
title={isEn ? "Regional Weather Markets" : "区域天气市场"}
|
||||||
</div>
|
/>
|
||||||
</div>
|
|
||||||
</div>
|
|
||||||
<div className="flex-1 min-h-0 overflow-auto">
|
|
||||||
<GroupedMarketTable
|
|
||||||
groups={continentGroups}
|
|
||||||
isEn={isEn}
|
|
||||||
selectedId={selectedRow?.id}
|
|
||||||
onSelect={setSelectedRow}
|
|
||||||
/>
|
|
||||||
</div>
|
|
||||||
</Panel>
|
|
||||||
</div>
|
</div>
|
||||||
|
|
||||||
{/* Column 2 */}
|
<div className="grid min-h-0 grid-rows-[auto_1fr_0.38fr] gap-2">
|
||||||
<div className="flex flex-col gap-2 min-h-0 h-full">
|
<WeatherNewsPanel isEn={isEn} rows={topRows} />
|
||||||
<Panel title={t("selectedContractMonitor", isEn)} className="shrink-0">
|
<NormalizedPerformancePanel
|
||||||
<div className="grid gap-4 p-3 lg:grid-cols-[1fr_200px]">
|
isEn={isEn}
|
||||||
<div>
|
onSelect={setSelectedRow}
|
||||||
<div className="flex flex-wrap items-center gap-2">
|
row={selectedRow}
|
||||||
<h1 className="text-lg font-black leading-tight text-slate-800">
|
rows={topRows}
|
||||||
{rowName(selectedRow)}
|
/>
|
||||||
</h1>
|
<div className="grid min-h-0 grid-cols-[0.48fr_0.52fr] gap-2">
|
||||||
<span
|
<FactorMatrix isEn={isEn} rows={filteredRegionRows} />
|
||||||
className={clsx(
|
<YieldLikeTable isEn={isEn} rows={filteredRegionRows} />
|
||||||
"rounded border px-1.5 py-0.5 text-[10px] font-bold",
|
</div>
|
||||||
selectedSignal === "active" ? "border-emerald-200 bg-emerald-50 text-emerald-700" :
|
|
||||||
selectedSignal === "watch" ? "border-amber-200 bg-amber-50 text-amber-700" :
|
|
||||||
selectedSignal === "closed" ? "border-slate-200 bg-slate-50 text-slate-500" :
|
|
||||||
"border-red-200 bg-red-50 text-red-700",
|
|
||||||
)}
|
|
||||||
>
|
|
||||||
{selectedLabel}
|
|
||||||
</span>
|
|
||||||
</div>
|
|
||||||
<p className="mt-1.5 text-[11px] leading-relaxed text-slate-500">
|
|
||||||
{isEn
|
|
||||||
? selectedRow?.ai_city_thesis_en || selectedRow?.ai_reason_en || selectedRow?.market_question || t("selectContract", isEn)
|
|
||||||
: selectedRow?.ai_city_thesis_zh || selectedRow?.ai_reason_zh || selectedRow?.market_question || t("selectContract", isEn)}
|
|
||||||
</p>
|
|
||||||
<div className="mt-3 grid grid-cols-2 gap-1.5 md:grid-cols-4">
|
|
||||||
{[
|
|
||||||
[t("live", isEn), temp(selectedRow?.current_max_so_far ?? selectedRow?.current_temp, selectedRow?.temp_symbol)],
|
|
||||||
[t("deb", isEn), temp(selectedRow?.deb_prediction, selectedRow?.temp_symbol)],
|
|
||||||
[t("model", isEn), pct(selectedRow?.model_probability ?? selectedRow?.model_event_probability)],
|
|
||||||
[t("mkt", isEn), pct(selectedRow?.market_probability ?? selectedRow?.market_event_probability)],
|
|
||||||
].map(([label, value]) => (
|
|
||||||
<div key={String(label)} className="rounded border border-slate-200 bg-slate-50 px-2 py-1">
|
|
||||||
<div className="text-[9px] font-bold uppercase text-slate-400">
|
|
||||||
{label}
|
|
||||||
</div>
|
|
||||||
<div className="font-mono text-[13px] font-bold text-slate-800">{value}</div>
|
|
||||||
</div>
|
|
||||||
))}
|
|
||||||
</div>
|
|
||||||
</div>
|
|
||||||
<div className="rounded border border-slate-200 bg-[#f8f9fa] p-2.5 flex flex-col justify-between">
|
|
||||||
<div>
|
|
||||||
<div className="mb-1 text-[9px] font-bold uppercase text-slate-400">
|
|
||||||
{t("intradayPerformance", isEn)}
|
|
||||||
</div>
|
|
||||||
<div className="h-12">
|
|
||||||
<SparkArea
|
|
||||||
isEn={isEn}
|
|
||||||
color={
|
|
||||||
Number(selectedRow?.edge_percent || 0) >= 0
|
|
||||||
? "#059669"
|
|
||||||
: "#dc2626"
|
|
||||||
}
|
|
||||||
data={
|
|
||||||
selectedRow?.distribution_preview?.map((p) => ({
|
|
||||||
v:
|
|
||||||
typeof p === "number"
|
|
||||||
? p
|
|
||||||
: p.model_probability ?? 0,
|
|
||||||
})) || []
|
|
||||||
}
|
|
||||||
/>
|
|
||||||
</div>
|
|
||||||
</div>
|
|
||||||
<div className="mt-1.5 grid grid-cols-2 gap-1 text-[10px] font-bold">
|
|
||||||
<span className="rounded border border-slate-200 bg-white p-1 text-center">
|
|
||||||
{t("edge", isEn)} <b className={clsx("block font-mono", edgeClass(selectedRow?.edge_percent))}>{pct(selectedRow?.edge_percent)}</b>
|
|
||||||
</span>
|
|
||||||
<span className="rounded border border-slate-200 bg-white p-1 text-center text-slate-700">
|
|
||||||
{t("spread", isEn)} <b className="block font-mono">{pct(selectedRow?.spread)}</b>
|
|
||||||
</span>
|
|
||||||
</div>
|
|
||||||
</div>
|
|
||||||
</div>
|
|
||||||
</Panel>
|
|
||||||
|
|
||||||
<Panel title={isEn ? "Runway Temperature Trend & Option Threshold Lines" : "实时气象走势与期权阈值线"} className="flex-1 min-h-0">
|
|
||||||
<RunwayMeteorologyPanel row={selectedRow} isEn={isEn} />
|
|
||||||
</Panel>
|
|
||||||
</div>
|
</div>
|
||||||
|
|
||||||
{/* Column 3 */}
|
<div className="flex min-h-0 flex-col gap-2">
|
||||||
<div className="flex flex-col gap-2 min-h-0 h-full">
|
<KoyfinMarketPanel
|
||||||
<Panel title={t("watchlist", isEn)} className="flex-1 min-h-0">
|
compact
|
||||||
<div className="divide-y divide-slate-100">
|
isEn={isEn}
|
||||||
{(watchRows.length ? watchRows : rows.slice(0, 8)).map((row) => (
|
onSelect={setSelectedRow}
|
||||||
<button
|
rows={heatRows.length ? heatRows : topRows.slice(0, 8)}
|
||||||
key={row.id}
|
selectedId={selectedRow?.id}
|
||||||
type="button"
|
title={isEn ? "High Heat Markets" : "高温市场"}
|
||||||
onClick={() => setSelectedRow(row)}
|
/>
|
||||||
className="grid w-full grid-cols-[1fr_auto] gap-3 px-3 py-1.5 text-left hover:bg-slate-50 transition-colors"
|
<KoyfinMarketPanel
|
||||||
>
|
compact
|
||||||
<span>
|
isEn={isEn}
|
||||||
<b className="block text-xs font-bold text-slate-800">{rowName(row)}</b>
|
onSelect={setSelectedRow}
|
||||||
<small className="text-[10px] text-slate-400 block truncate max-w-[150px]">
|
rows={liquidRows}
|
||||||
{row.airport || row.trading_region_label || row.local_time || "--"}
|
selectedId={selectedRow?.id}
|
||||||
</small>
|
title={isEn ? "Liquid Weather Markets" : "高流动性市场"}
|
||||||
</span>
|
/>
|
||||||
<span className={clsx("font-mono text-xs font-bold", edgeClass(row.signed_gap ?? row.gap))}>
|
<KoyfinMarketPanel
|
||||||
{pct(row.signed_gap ?? row.gap)}
|
compact
|
||||||
</span>
|
isEn={isEn}
|
||||||
</button>
|
onSelect={setSelectedRow}
|
||||||
))}
|
rows={watchRows.length ? watchRows : negativeRows.length ? negativeRows : topRows.slice(0, 8)}
|
||||||
</div>
|
selectedId={selectedRow?.id}
|
||||||
</Panel>
|
title={isEn ? "Watchlist & Risk" : "观察与风险"}
|
||||||
|
/>
|
||||||
<Panel title={t("globalWeatherFactors", isEn)} className="shrink-0">
|
<Panel title={t("terminalStatus", isEn)} className="shrink-0">
|
||||||
<div className="grid grid-cols-3 gap-1.5 p-2 text-center">
|
<div className="grid grid-cols-3 gap-1.5 p-2 text-center text-[10px]">
|
||||||
{[
|
{[
|
||||||
[t("heat", isEn), rows.filter((r) => r.risk_level === "high").length],
|
[t("rows", isEn), filteredRegionRows.length],
|
||||||
[t("active", isEn), rows.filter((r) => r.active).length],
|
[t("avgEdge", isEn), pct(avgEdge)],
|
||||||
[t("tradable", isEn), rows.filter((r) => r.tradable).length],
|
[t("liquidity", isEn), money(totalLiquidity)],
|
||||||
[t("primary", isEn), rows.filter((r) => r.is_primary_signal).length],
|
[t("tsData", isEn), generatedText || t("tsDataLive", isEn)],
|
||||||
[t("ai", isEn), rows.filter((r) => r.ai_decision).length],
|
[t("tsAccess", isEn), t("tsAccessPaid", isEn)],
|
||||||
[t("closed", isEn), rows.filter((r) => r.closed).length],
|
[t("tsLayout", isEn), "Koyfin"],
|
||||||
].map(([label, value]) => (
|
].map(([label, value]) => (
|
||||||
<div key={String(label)} className="rounded border border-slate-200 bg-slate-50 p-1.5">
|
<div key={String(label)} className="rounded border border-slate-200 bg-slate-50 px-2 py-1.5">
|
||||||
<div className="font-mono text-sm font-bold text-slate-800">{value}</div>
|
<div className="truncate text-[9px] font-black uppercase text-slate-400">
|
||||||
<div className="text-[9px] font-bold uppercase text-slate-400 truncate">
|
|
||||||
{label}
|
{label}
|
||||||
</div>
|
</div>
|
||||||
|
<div className="truncate font-mono font-black text-slate-800">
|
||||||
|
{value}
|
||||||
|
</div>
|
||||||
</div>
|
</div>
|
||||||
))}
|
))}
|
||||||
</div>
|
</div>
|
||||||
</Panel>
|
</Panel>
|
||||||
|
|
||||||
<Panel title={t("terminalStatus", isEn)} className="shrink-0">
|
|
||||||
<div className="space-y-1.5 p-2 text-[11px]">
|
|
||||||
<div className="flex items-center justify-between rounded border border-slate-200 bg-slate-50 px-2.5 py-1.5">
|
|
||||||
<span className="font-bold text-slate-500">{t("tsData", isEn)}</span>
|
|
||||||
<span className="font-mono text-emerald-700 font-bold">
|
|
||||||
{generatedText || t("tsDataLive", isEn)}
|
|
||||||
</span>
|
|
||||||
</div>
|
|
||||||
<div className="flex items-center justify-between rounded border border-slate-200 bg-slate-50 px-2.5 py-1.5">
|
|
||||||
<span className="font-bold text-slate-500">{t("tsAccess", isEn)}</span>
|
|
||||||
<span className="font-mono text-blue-700 font-bold">{t("tsAccessPaid", isEn)}</span>
|
|
||||||
</div>
|
|
||||||
<div className="flex items-center justify-between rounded border border-slate-200 bg-slate-50 px-2.5 py-1.5">
|
|
||||||
<span className="font-bold text-slate-500">{t("tsLayout", isEn)}</span>
|
|
||||||
<span className="font-mono text-slate-700 font-medium">{t("tsLayoutValue", isEn)}</span>
|
|
||||||
</div>
|
|
||||||
</div>
|
|
||||||
</Panel>
|
|
||||||
</div>
|
</div>
|
||||||
</div>
|
</div>
|
||||||
</main>
|
</main>
|
||||||
|
|||||||
Reference in New Issue
Block a user