feat: implement ScanTerminalDashboard with AI-driven city streaming and analysis features
This commit is contained in:
2569718930@qq.com
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import type { ScanOpportunityRow } from "@/lib/dashboard-types";
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import {
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getMarketFocus,
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getRowMarketRegion,
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getRowPeakSortValue,
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} from "@/lib/scan-market-focus";
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export function formatShortDate(value?: string | null, locale = "zh-CN") {
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const text = String(value || "").trim();
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if (!text) return "--";
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const date = new Date(`${text}T00:00:00`);
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if (Number.isNaN(date.getTime())) return text;
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return locale === "en-US"
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? date.toLocaleDateString("en-US", { month: "short", day: "numeric" })
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: date.toLocaleDateString("zh-CN", { month: "numeric", day: "numeric" });
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}
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export function formatCountdownMinutes(value?: number | null, locale = "zh-CN") {
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const numeric = Number(value);
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if (!Number.isFinite(numeric)) return "--";
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const minutes = Math.max(0, Math.round(Math.abs(numeric)));
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const hours = Math.floor(minutes / 60);
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const remains = minutes % 60;
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if (locale === "en-US") {
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if (hours <= 0) return `${remains}m`;
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if (remains <= 0) return `${hours}h`;
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return `${hours}h ${remains}m`;
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}
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if (hours <= 0) return `${remains} 分钟`;
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if (remains <= 0) return `${hours} 小时`;
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return `${hours} 小时 ${remains} 分钟`;
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}
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export function getPeakWindowLabel(row: ScanOpportunityRow) {
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const direct = String(row.peak_window_label || "").trim();
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if (direct) return direct;
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const start = String(row.peak_window_start || "").trim();
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const end = String(row.peak_window_end || "").trim();
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if (start && end) return `${start}-${end}`;
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return "--";
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}
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export function getPeakCountdownMeta(row: ScanOpportunityRow, locale = "zh-CN") {
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const isEn = locale === "en-US";
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const phase = String(row.window_phase || "").toLowerCase();
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const startDelta = Number(row.minutes_until_peak_start);
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const endDelta = Number(row.minutes_until_peak_end);
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const hasStart = Number.isFinite(startDelta);
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const hasEnd = Number.isFinite(endDelta);
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if (phase === "active_peak" || (hasStart && startDelta <= 0 && hasEnd && endDelta >= 0)) {
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return {
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key: "active",
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groupLabel: isEn ? "Peak window now" : "峰值窗口进行中",
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tone: "active",
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sort: 0,
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title: isEn ? "At peak window" : "已进入峰值窗口",
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detail:
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hasEnd && endDelta >= 0
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? isEn
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? `${formatCountdownMinutes(endDelta, locale)} left`
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: `剩余 ${formatCountdownMinutes(endDelta, locale)}`
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: getPeakWindowLabel(row),
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};
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}
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if (hasStart && startDelta > 0 && startDelta <= 180) {
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return {
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key: "next",
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groupLabel: isEn ? "Next 3 hours" : "未来 3 小时到峰值",
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tone: "next",
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sort: 1000 + startDelta,
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title: isEn
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? `${formatCountdownMinutes(startDelta, locale)} to peak`
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: `还有 ${formatCountdownMinutes(startDelta, locale)} 到峰值`,
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detail: getPeakWindowLabel(row),
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};
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}
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if (hasStart && startDelta > 0 && startDelta <= 1440) {
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return {
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key: "today",
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groupLabel: isEn ? "Later today" : "今日稍后",
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tone: "upcoming",
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sort: 2000 + startDelta,
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title: isEn
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? `${formatCountdownMinutes(startDelta, locale)} to peak`
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: `还有 ${formatCountdownMinutes(startDelta, locale)} 到峰值`,
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detail: getPeakWindowLabel(row),
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};
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}
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if (hasStart && startDelta > 1440) {
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return {
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key: "later",
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groupLabel: isEn ? "Later sessions" : "后续交易时段",
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tone: "later",
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sort: 3000 + startDelta,
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title: isEn
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? `${formatCountdownMinutes(startDelta, locale)} to peak`
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: `还有 ${formatCountdownMinutes(startDelta, locale)} 到峰值`,
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detail: getPeakWindowLabel(row),
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};
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}
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return {
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key: "past",
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groupLabel: isEn ? "Past peak" : "峰值已过",
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tone: "past",
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sort: 9000 + Math.abs(startDelta || 0),
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title:
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hasEnd && endDelta < 0
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? isEn
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? `Peak passed ${formatCountdownMinutes(endDelta, locale)} ago`
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: `峰值已过 ${formatCountdownMinutes(endDelta, locale)}`
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: isEn
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? "Peak window passed"
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: "峰值窗口已过",
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detail: getPeakWindowLabel(row),
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};
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}
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export function formatUserLocalTime() {
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const now = new Date();
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return `${String(now.getHours()).padStart(2, "0")}:${String(
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now.getMinutes(),
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).padStart(2, "0")}`;
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}
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export function getLocalDateIndex(value?: string | null) {
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const text = String(value || "").trim();
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if (!text) return 0;
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const date = new Date(`${text}T00:00:00`);
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if (Number.isNaN(date.getTime())) return 0;
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const today = new Date();
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today.setHours(0, 0, 0, 0);
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return Math.round((date.getTime() - today.getTime()) / 86_400_000);
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}
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export function getPhaseUrgency(row: ScanOpportunityRow) {
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const phase = String(row.window_phase || "").toLowerCase();
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if (phase === "active_peak") return 0;
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if (phase === "setup_today") return 1;
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if (phase === "post_peak") return 2;
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if (phase === "early_today") return 3;
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if (phase === "tomorrow") return 4;
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if (phase === "week_ahead") return 5;
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return 6;
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}
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export function sortRowsByUserTime(rows: ScanOpportunityRow[]) {
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const focus = getMarketFocus(rows);
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return [...rows].sort((left, right) => {
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if (focus) {
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const leftFocusRank = getRowMarketRegion(left) === focus.key ? 0 : 1;
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const rightFocusRank = getRowMarketRegion(right) === focus.key ? 0 : 1;
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if (leftFocusRank !== rightFocusRank) return leftFocusRank - rightFocusRank;
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}
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const leftPeakSort = getRowPeakSortValue(left);
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const rightPeakSort = getRowPeakSortValue(right);
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if (leftPeakSort.stage.rank !== rightPeakSort.stage.rank) {
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return leftPeakSort.stage.rank - rightPeakSort.stage.rank;
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}
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if (leftPeakSort.countdown !== rightPeakSort.countdown) {
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return leftPeakSort.countdown - rightPeakSort.countdown;
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}
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const leftDateIndex = getLocalDateIndex(left.selected_date || left.local_date);
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const rightDateIndex = getLocalDateIndex(right.selected_date || right.local_date);
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if (leftDateIndex !== rightDateIndex) return leftDateIndex - rightDateIndex;
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const leftRemaining = Number.isFinite(Number(left.remaining_window_minutes))
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? Number(left.remaining_window_minutes)
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: Number.POSITIVE_INFINITY;
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const rightRemaining = Number.isFinite(Number(right.remaining_window_minutes))
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? Number(right.remaining_window_minutes)
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: Number.POSITIVE_INFINITY;
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if (leftRemaining !== rightRemaining) return leftRemaining - rightRemaining;
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const leftPhase = getPhaseUrgency(left);
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const rightPhase = getPhaseUrgency(right);
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if (leftPhase !== rightPhase) return leftPhase - rightPhase;
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const scoreDelta = Number(right.final_score || 0) - Number(left.final_score || 0);
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if (scoreDelta !== 0) return scoreDelta;
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return Number(right.edge_percent || 0) - Number(left.edge_percent || 0);
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});
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}
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export function normalizeCityKey(value?: string | null) {
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return String(value || "")
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.trim()
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.toLowerCase()
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.replace(/[\s_-]+/g, "");
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}
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export function prettifyCityName(value?: string | null) {
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return String(value || "")
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.trim()
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.replace(/[-_]+/g, " ")
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.replace(/\b\w/g, (match) => match.toUpperCase());
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}
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export function rowMatchesCity(row: ScanOpportunityRow, cityName: string) {
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const cityKey = normalizeCityKey(cityName);
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if (!cityKey) return false;
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return [row.city, row.city_display_name, row.display_name].some(
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(value) => normalizeCityKey(value) === cityKey,
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);
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}
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export function findRowForCity(rows: ScanOpportunityRow[], cityName?: string | null) {
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const normalized = normalizeCityKey(cityName);
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if (!normalized) return null;
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return rows.find((row) => rowMatchesCity(row, cityName || "")) || null;
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}
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export function formatRowProbability(value?: number | null) {
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const numeric = Number(value);
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if (!Number.isFinite(numeric)) return "--";
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const normalized = numeric > 1 ? numeric / 100 : numeric;
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return `${(normalized * 100).toFixed(0)}%`;
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}
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export function formatRowPrice(value?: number | null) {
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const numeric = Number(value);
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if (!Number.isFinite(numeric)) return "--";
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return `${Math.round((numeric > 1 ? numeric / 100 : numeric) * 100)}¢`;
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}
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export function formatRowSignedPercent(value?: number | null) {
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const numeric = Number(value);
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if (!Number.isFinite(numeric)) return "--";
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const normalized = Math.abs(numeric) <= 1 ? numeric * 100 : numeric;
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return `${normalized > 0 ? "+" : ""}${normalized.toFixed(1)}%`;
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}
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export function normalizeRowPercentDelta(value?: number | null) {
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const numeric = Number(value);
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if (!Number.isFinite(numeric)) return null;
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return Math.abs(numeric) <= 1 ? numeric * 100 : numeric;
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}
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export function getRowTemperatureBucket(row: ScanOpportunityRow) {
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const direct = String(row.target_label || "").trim();
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if (direct) return direct;
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const unit = row.target_unit || row.temp_symbol || "°C";
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const lower = Number(row.target_lower);
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const upper = Number(row.target_upper);
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if (Number.isFinite(lower) && Number.isFinite(upper)) {
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return `${lower.toFixed(0)}-${upper.toFixed(0)}${unit}`;
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}
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const threshold = Number(row.target_threshold ?? row.target_value);
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if (Number.isFinite(threshold)) {
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const direction = String(row.temperature_direction || row.market_direction || row.side || "").toLowerCase();
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if (direction.includes("below") || direction.includes("under") || direction.includes("no")) {
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return `≤ ${threshold.toFixed(0)}${unit}`;
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}
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return `≥ ${threshold.toFixed(0)}${unit}`;
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}
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return "--";
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}
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export function getRowDecisionMeta(row: ScanOpportunityRow, locale = "zh-CN") {
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const isEn = locale === "en-US";
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const edge = normalizeRowPercentDelta(row.edge_percent ?? row.gap ?? row.signed_gap);
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const phase = getPeakCountdownMeta(row, locale);
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const metarDecision = String(row.v4_metar_decision || row.ai_decision || "").toLowerCase();
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const tradable = Boolean(row.tradable || row.accepting_orders);
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const closed = row.closed || (row.active === false && !tradable);
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if (closed) {
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return {
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tone: "avoid",
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action: isEn ? "Skip" : "放弃",
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reason: isEn ? "Market is closed or inactive." : "市场已关闭或不活跃。",
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};
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}
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if (metarDecision === "veto") {
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return {
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tone: "avoid",
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action: isEn ? "Avoid" : "暂不交易",
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reason:
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(isEn ? row.v4_metar_reason_en || row.ai_reason_en : row.v4_metar_reason_zh || row.ai_reason_zh) ||
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(isEn ? "METAR does not support the setup." : "METAR 暂不支持该方向。"),
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};
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}
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if (edge != null && edge >= 8 && tradable) {
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return {
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tone: "trade",
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action: isEn ? "Watch now" : "重点关注",
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reason:
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(isEn ? row.ai_reason_en || row.ai_city_thesis_en : row.ai_reason_zh || row.ai_city_thesis_zh) ||
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(isEn ? "Weather probability is above market pricing." : "天气概率高于市场隐含概率。"),
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};
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}
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if (phase.key === "next" || phase.key === "today") {
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return {
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tone: "wait",
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action: isEn ? "Wait for confirmation" : "等待确认",
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reason:
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(isEn ? row.ai_watchlist_reason_en || row.ai_forecast_match_reason_en : row.ai_watchlist_reason_zh || row.ai_forecast_match_reason_zh) ||
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phase.title,
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};
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}
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if (metarDecision === "downgrade" || row.risk_level === "high") {
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return {
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tone: "risk",
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action: isEn ? "Observe only" : "只观察",
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reason:
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(isEn ? row.v4_metar_reason_en || row.ai_reason_en : row.v4_metar_reason_zh || row.ai_reason_zh) ||
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(isEn ? "Risk is elevated; require more confirmation." : "风险偏高，需要更多确认。"),
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};
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}
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return {
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tone: "neutral",
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action: isEn ? "Review" : "观察",
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reason:
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(isEn ? row.ai_reason_en || row.ai_city_thesis_en : row.ai_reason_zh || row.ai_city_thesis_zh) ||
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(isEn ? "Open the decision card to verify weather evidence." : "打开决策卡查看天气证据。"),
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};
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}
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export function pickOpportunitySections(rows: ScanOpportunityRow[], locale = "zh-CN") {
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const isEn = locale === "en-US";
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const top = [...rows]
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.sort((left, right) => {
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const scoreDelta = Number(right.final_score || 0) - Number(left.final_score || 0);
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if (scoreDelta !== 0) return scoreDelta;
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return Number(right.edge_percent || 0) - Number(left.edge_percent || 0);
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})
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.slice(0, 4);
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const peak = rows
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.filter((row) => {
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const meta = getPeakCountdownMeta(row, locale);
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return meta.key === "active" || meta.key === "next";
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})
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.slice(0, 4);
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const model = rows
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.filter((row) => Number(row.cluster_model_count || 0) >= 4 || Number(row.consensus_score || 0) >= 0.65)
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.slice(0, 4);
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const risk = rows
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.filter((row) => row.risk_level === "high" || ["veto", "downgrade"].includes(String(row.v4_metar_decision || row.ai_decision || "").toLowerCase()))
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.slice(0, 4);
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return [
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{
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key: "top",
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title: isEn ? "Best opportunities" : "最值得关注",
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subtitle: isEn ? "Sorted by final score and edge." : "按综合分与概率差优先排序。",
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rows: top,
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},
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{
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key: "peak",
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title: isEn ? "Peak window soon" : "即将进入峰值窗口",
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subtitle: isEn ? "Timing-sensitive cities." : "需要卡时间确认的城市。",
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rows: peak,
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},
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{
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key: "model",
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title: isEn ? "Model consensus" : "模型高度一致",
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subtitle: isEn ? "Weather side has stronger model support." : "天气侧模型支撑更集中。",
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rows: model,
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},
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{
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key: "risk",
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title: isEn ? "High risk / avoid" : "高风险 / 不要碰",
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subtitle: isEn ? "Open only for post-mortem or monitoring." : "仅适合复盘或观察。",
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rows: risk,
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},
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];
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}
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