2569718930@qq.com
1a40802dcb
将 <details>/<summary> 改为普通 <section>/<div>，面板始终展开。 移除 isCompactCard prop 及相关的 open/onToggle 状态管理。
668 lines
25 KiB
TypeScript
668 lines
25 KiB
TypeScript
"use client";
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import clsx from "clsx";
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import type { MouseEvent } from "react";
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import { useEffect, useState } from "react";
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import { AiCityTemperatureChart } from "@/components/dashboard/scan-terminal/AiCityTemperatureChart";
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import { AiEvidencePanel } from "@/components/dashboard/scan-terminal/AiEvidencePanel";
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import { CityCardHeader } from "@/components/dashboard/scan-terminal/CityCardHeader";
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import { MobileDecisionCard } from "@/components/dashboard/scan-terminal/MobileDecisionCard";
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import { ModelEvidencePanel } from "@/components/dashboard/scan-terminal/ModelEvidencePanel";
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import { WeatherDecisionBand } from "@/components/dashboard/scan-terminal/WeatherDecisionBand";
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import {
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buildMarketDecisionView,
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buildWeatherDecisionView,
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resolveExpectedHighCandidate,
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} from "@/components/dashboard/scan-terminal/city-card-decision-utils";
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import { buildCityDecisionState } from "@/components/dashboard/scan-terminal/city-decision-state";
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import {
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getAiReadCopy,
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getCityLoadingCopy,
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} from "@/components/dashboard/scan-terminal/decision-copy";
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import { getPeakWindowLabel, normalizeCityKey } from "@/components/dashboard/scan-terminal/decision-utils";
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import { LoadingSignal } from "@/components/dashboard/scan-terminal/LoadingSignal";
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import type { AiPinnedCity } from "@/components/dashboard/scan-terminal/types";
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import {
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useAiCityForecast,
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useCityMarketScan,
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} from "@/components/dashboard/scan-terminal/use-ai-city-card-data";
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import type { CityDetail, ScanOpportunityRow } from "@/lib/dashboard-types";
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import { getModelView } from "@/lib/model-utils";
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import { getTodayPaceView } from "@/lib/pace-utils";
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import { formatTemperatureValue } from "@/lib/temperature-utils";
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function toFiniteDecisionNumber(value: unknown) {
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if (value == null || value === "") return null;
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const numeric = Number(value);
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return Number.isFinite(numeric) ? numeric : null;
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}
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function parseEpochMs(value: unknown) {
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if (value == null || value === "") return null;
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const numeric = Number(value);
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if (Number.isFinite(numeric)) return numeric > 1_000_000_000_000 ? numeric : numeric * 1000;
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const parsed = new Date(String(value));
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return Number.isNaN(parsed.getTime()) ? null : parsed.getTime();
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}
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function formatMetarReportTime(detail: CityDetail | null, report: string, isEn: boolean) {
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const offsetSeconds = Number(detail?.utc_offset_seconds);
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const epochMs =
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parseEpochMs(detail?.airport_current?.report_time) ??
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parseEpochMs(detail?.airport_current?.obs_time_epoch) ??
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parseEpochMs(detail?.airport_current?.obs_time) ??
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parseEpochMs(detail?.current?.report_time) ??
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parseEpochMs(detail?.current?.obs_time_epoch) ??
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parseEpochMs(detail?.current?.obs_time);
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if (epochMs != null) {
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const utc = new Date(epochMs);
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const zText = `${String(utc.getUTCHours()).padStart(2, "0")}:${String(
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utc.getUTCMinutes(),
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).padStart(2, "0")}Z`;
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if (Number.isFinite(offsetSeconds)) {
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const local = new Date(epochMs + offsetSeconds * 1000);
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const localText = `${String(local.getUTCHours()).padStart(2, "0")}:${String(
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local.getUTCMinutes(),
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).padStart(2, "0")}`;
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return isEn ? `${zText} / local ${localText}` : `${zText} / 当地 ${localText}`;
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}
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return zText;
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}
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const rawToken = String(report || "").match(/\b(\d{2})(\d{2})(\d{2})Z\b/i);
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if (!rawToken) return "";
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const zText = `${rawToken[2]}:${rawToken[3]}Z`;
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if (!Number.isFinite(offsetSeconds)) return zText;
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const utcMinutes = Number(rawToken[2]) * 60 + Number(rawToken[3]);
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if (!Number.isFinite(utcMinutes)) return zText;
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const localMinutes = Math.round(
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((utcMinutes + offsetSeconds / 60) % 1440 + 1440) % 1440,
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);
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const localText = `${String(Math.floor(localMinutes / 60)).padStart(2, "0")}:${String(
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localMinutes % 60,
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).padStart(2, "0")}`;
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return isEn ? `${zText} / local ${localText}` : `${zText} / 当地 ${localText}`;
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}
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function normalizeMetarReadTime(text: string, displayTime: string, isEn: boolean) {
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if (!text || !displayTime) return text;
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const timeLabel = isEn ? `report time ${displayTime}` : `报文时间 ${displayTime}`;
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return text
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.replace(/报文时间\s*\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(?:\.\d+)?Z/gi, timeLabel)
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.replace(/report time\s*\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(?:\.\d+)?Z/gi, timeLabel)
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.replace(/\bat\s+\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(?:\.\d+)?Z/gi, `at ${displayTime}`);
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}
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function isHkoObservationCity(detail?: CityDetail | null) {
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const source = String(
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detail?.current?.settlement_source ||
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detail?.settlement_station?.settlement_source ||
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"",
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)
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.trim()
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.toLowerCase();
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return source === "hko";
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}
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function formatFreshnessAge(value: unknown, isEn: boolean) {
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const minutes = Number(value);
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if (!Number.isFinite(minutes) || minutes < 0) return "";
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if (minutes < 1) return isEn ? "just now" : "刚刚";
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if (minutes < 60) {
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const rounded = Math.max(1, Math.round(minutes));
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return isEn ? `${rounded}m ago` : `${rounded} 分钟前`;
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}
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const hours = Math.floor(minutes / 60);
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const remaining = Math.round(minutes % 60);
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if (remaining <= 0) return isEn ? `${hours}h ago` : `${hours} 小时前`;
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return isEn ? `${hours}h ${remaining}m ago` : `${hours} 小时 ${remaining} 分钟前`;
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}
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function formatUpdateTime(value: unknown, locale: string) {
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const epochMs = parseEpochMs(value);
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if (epochMs == null) return "";
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const date = new Date(epochMs);
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const now = new Date();
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const sameDay = date.toDateString() === now.toDateString();
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const time = date.toLocaleTimeString(locale === "en-US" ? "en-US" : "zh-CN", {
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hour: "2-digit",
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minute: "2-digit",
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});
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if (locale === "en-US") {
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const day = sameDay
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? "today"
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: date.toLocaleDateString("en-US", { month: "short", day: "numeric" });
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return `${day} ${time} updated`;
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}
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const day = sameDay
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? "今日"
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: date.toLocaleDateString("zh-CN", { month: "numeric", day: "numeric" });
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return `${day} ${time} 更新`;
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}
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function buildObservationFreshnessValue({
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detail,
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displayTime,
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isEn,
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isHkoObservation,
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}: {
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detail: CityDetail | null;
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displayTime: string;
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isEn: boolean;
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isHkoObservation: boolean;
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}) {
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const stale = Boolean(
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detail?.metar_status?.stale_for_today ||
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detail?.airport_current?.stale_for_today ||
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detail?.current?.observation_status === "stale",
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);
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if (stale) {
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return isEn ? "stale; background only" : "已过旧，仅作背景参考";
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}
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const ageLabel = formatFreshnessAge(
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isHkoObservation ? detail?.current?.obs_age_min : detail?.airport_current?.obs_age_min ?? detail?.current?.obs_age_min,
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isEn,
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);
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if (ageLabel) return ageLabel;
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if (displayTime) return displayTime;
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return isEn ? "time pending" : "时间待确认";
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}
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function buildModelFreshnessValue(detail: CityDetail | null, locale: string, isEn: boolean) {
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return (
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formatUpdateTime(detail?.updated_at, locale) ||
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(isEn ? "latest run loaded" : "已加载最新模型")
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);
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}
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function buildMarketFreshnessValue({
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isEn,
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marketScan,
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marketStatus,
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}: {
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isEn: boolean;
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marketScan: ReturnType<typeof useCityMarketScan>["marketScan"];
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marketStatus: ReturnType<typeof useCityMarketScan>["marketStatus"];
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}) {
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if (marketStatus === "loading") return isEn ? "syncing" : "同步中";
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if (!marketScan?.available) return isEn ? "temporarily unavailable" : "暂不可用";
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const quoteAgeMs = Number(
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marketScan.quote_age_ms ??
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marketScan.yes_token?.quote_age_ms ??
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marketScan.no_token?.quote_age_ms,
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);
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if (Number.isFinite(quoteAgeMs) && quoteAgeMs >= 0) {
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return formatFreshnessAge(quoteAgeMs / 60_000, isEn);
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}
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return isEn ? "synced" : "已同步";
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}
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export function AiPinnedCityCard({
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item,
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detail,
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row,
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locale,
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collapsed,
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removing,
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onRefreshCityDetail,
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onRemove,
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onToggleCollapsed,
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}: {
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item: AiPinnedCity;
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detail: CityDetail | null;
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row: ScanOpportunityRow | null;
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locale: string;
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collapsed: boolean;
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removing?: boolean;
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onRefreshCityDetail: (cityName: string) => Promise<void>;
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onRemove: () => void;
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onToggleCollapsed: () => void;
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}) {
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const isEn = locale === "en-US";
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const displayName =
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detail?.display_name ||
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row?.city_display_name ||
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row?.display_name ||
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item.displayName ||
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item.cityName;
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const tempSymbol = detail?.temp_symbol || row?.temp_symbol || "°C";
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const modelView = detail ? getModelView(detail, detail.local_date) : null;
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const modelEntries = modelView
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? Object.entries(modelView.models || {})
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.map(([name, value]) => [name, Number(value)] as const)
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.filter(([, value]) => Number.isFinite(value))
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: [];
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const modelValues = modelEntries.map(([, value]) => value);
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const modelMin = modelValues.length ? Math.min(...modelValues) : null;
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const modelMax = modelValues.length ? Math.max(...modelValues) : null;
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const paceView = detail ? getTodayPaceView(detail, locale as "zh-CN" | "en-US") : null;
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const peakWindow =
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paceView?.peakWindowText ||
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(row ? getPeakWindowLabel(row) : null) ||
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"--";
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const deb = detail?.deb?.prediction ?? row?.deb_prediction ?? null;
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const isHkoObservation = isHkoObservationCity(detail);
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const currentTemp =
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(isHkoObservation
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? detail?.current?.temp ?? row?.current_temp
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: detail?.airport_primary?.temp ??
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detail?.airport_current?.temp ??
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detail?.current?.temp ??
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row?.current_temp) ?? null;
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const debNumber = toFiniteDecisionNumber(deb);
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const currentTempNumber = toFiniteDecisionNumber(currentTemp);
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const modelRange =
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modelMin != null && modelMax != null
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? `${formatTemperatureValue(modelMin, tempSymbol, { digits: 1 })} ~ ${formatTemperatureValue(modelMax, tempSymbol, { digits: 1 })}`
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: "--";
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const paceTone = paceView?.biasTone || "neutral";
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const paceText =
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paceView?.summary ||
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(isEn
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? "Waiting for intraday observations to compare against the DEB path."
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: "等待更多日内实测，用来对照 DEB 预测路径。");
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const report = isHkoObservation
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? ""
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: detail?.current?.raw_metar || detail?.airport_current?.raw_metar || "";
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const metarReportTimeDisplay = formatMetarReportTime(detail, report, isEn);
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const observationStation = isHkoObservation
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? detail?.current?.station_name ||
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detail?.current?.station_code ||
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detail?.settlement_station?.settlement_station_label ||
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detail?.settlement_station?.settlement_station_code ||
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"香港天文台"
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: detail?.risk?.icao ||
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detail?.current?.station_code ||
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detail?.airport_current?.station_code ||
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detail?.airport_primary?.station_code ||
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"";
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const observationSourceZh = isHkoObservation ? "香港天文台观测" : "METAR 实测";
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const observationSourceEn = isHkoObservation ? "HKO observations" : "METAR observations";
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const rawObservationText = isHkoObservation
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? `${isEn ? "Observation source" : "观测来源"}：${observationStation || (isEn ? "Hong Kong Observatory" : "香港天文台")}${metarReportTimeDisplay ? `，${metarReportTimeDisplay}` : ""}`
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: report
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? `${isEn ? "Raw METAR" : "原始 METAR"}：${`${observationStation} ${report}`.trim()}`
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: isEn
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? "Raw METAR: unavailable."
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: "原始 METAR：暂无。";
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const detailCityName = detail?.name || item.cityName;
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const [refreshingDetail, setRefreshingDetail] = useState(false);
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const { aiForecast, refreshAiForecast } = useAiCityForecast({
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detail,
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detailCityName,
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enabled: Boolean(detail),
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isEn,
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locale,
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report,
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});
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const { marketScan, marketStatus } = useCityMarketScan({
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detail,
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detailCityName,
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enabled: Boolean(detail),
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});
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const isRefreshing = refreshingDetail || aiForecast.status === "loading";
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const [isCompactCard, setIsCompactCard] = useState(false);
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useEffect(() => {
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if (typeof window === "undefined" || !window.matchMedia) return;
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const media = window.matchMedia("(max-width: 820px)");
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const syncCompactMode = () => setIsCompactCard(media.matches);
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syncCompactMode();
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media.addEventListener("change", syncCompactMode);
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return () => media.removeEventListener("change", syncCompactMode);
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}, []);
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const aiCityForecast = aiForecast.payload?.city_forecast || null;
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const localizedFinalJudgmentRaw =
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(isEn ? aiCityForecast?.final_judgment_en : aiCityForecast?.final_judgment_zh) ||
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(isEn ? aiCityForecast?.reasoning_en : aiCityForecast?.reasoning_zh) ||
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"";
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const localizedMetarReadRaw =
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(isEn ? aiCityForecast?.metar_read_en : aiCityForecast?.metar_read_zh) ||
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"";
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const localizedReasoningRaw =
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(isEn ? aiCityForecast?.reasoning_en : aiCityForecast?.reasoning_zh) ||
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"";
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const localizedFinalJudgment = normalizeMetarReadTime(
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localizedFinalJudgmentRaw,
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metarReportTimeDisplay,
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isEn,
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);
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const localizedMetarRead = normalizeMetarReadTime(
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localizedMetarReadRaw,
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metarReportTimeDisplay,
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isEn,
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);
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const localizedReasoning = normalizeMetarReadTime(
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localizedReasoningRaw,
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metarReportTimeDisplay,
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isEn,
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);
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const localizedModelNote =
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(isEn
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? aiCityForecast?.model_cluster_note_en
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: aiCityForecast?.model_cluster_note_zh) || "";
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const modelPreview = modelEntries
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.slice(0, 4)
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.map(([name, value]) => `${name} ${formatTemperatureValue(value, tempSymbol, { digits: 1 })}`)
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.join(isEn ? " / " : " / ");
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const localModelSupportNote = modelEntries.length
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? isEn
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? modelEntries.length <= 2
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? `Model support is sparse: only ${modelEntries.length} sources are available${modelPreview ? ` (${modelPreview})` : ""}, so the read should lean more on DEB path and ${observationSourceEn}.`
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: `Model support: ${modelEntries.length} sources cluster between ${modelRange}; ${modelPreview}.`
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: modelEntries.length <= 2
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? `多模型支撑偏少：当前只有 ${modelEntries.length} 个模型${modelPreview ? `（${modelPreview}）` : ""}，需要更重视 DEB 路径和${observationSourceZh}。`
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: `多模型支撑：${modelEntries.length} 个模型集中在 ${modelRange}，代表模型为 ${modelPreview}。`
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: isEn
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? `Model support is unavailable, so this city must rely on DEB path and ${observationSourceEn}.`
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: `暂无可用多模型支撑，需要主要参考 DEB 路径和${observationSourceZh}。`;
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const aiPredictedMax = toFiniteDecisionNumber(aiCityForecast?.predicted_max);
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const aiRangeLow = toFiniteDecisionNumber(aiCityForecast?.range_low);
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const aiRangeHigh = toFiniteDecisionNumber(aiCityForecast?.range_high);
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const aiConfidence = String(aiCityForecast?.confidence || "").trim() || null;
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const decisionExpectedHighNumber = resolveExpectedHighCandidate({
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aiPredictedMax,
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currentTemp: currentTempNumber,
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deb: debNumber,
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modelMax,
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modelMin,
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paceAdjustedHigh: paceView?.paceAdjustedHigh ?? null,
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});
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const decisionView = buildWeatherDecisionView({
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aiCityForecast,
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currentTemp: currentTempNumber,
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deb: debNumber,
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isEn,
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localModelSupportNote,
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modelEntries,
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modelMax,
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modelMin,
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paceTone,
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paceView,
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peakWindow,
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tempSymbol,
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});
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const expectedHighText =
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decisionExpectedHighNumber != null
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? formatTemperatureValue(decisionExpectedHighNumber, tempSymbol, { digits: 1 })
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: "--";
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const currentTempText =
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currentTempNumber != null
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? formatTemperatureValue(currentTempNumber, tempSymbol, { digits: 1 })
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: "--";
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const debText =
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debNumber != null
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? formatTemperatureValue(debNumber, tempSymbol, { digits: 1 })
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: "--";
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const marketDecisionView = buildMarketDecisionView({
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expectedHigh: decisionExpectedHighNumber,
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isEn,
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marketScan,
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marketStatus,
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tempSymbol,
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});
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const aiMeta = aiCityForecast?._polyweather_meta || null;
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const guardReason = aiMeta?.deterministic_guard_reason || {};
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const observationStale = Boolean(
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detail?.metar_status?.stale_for_today ||
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detail?.airport_current?.stale_for_today ||
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detail?.current?.observation_status === "stale" ||
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guardReason.observation_stale,
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);
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const observedHighBreak = Boolean(
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guardReason.observed_high_break ||
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(currentTempNumber != null &&
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modelMax != null &&
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currentTempNumber > modelMax + 0.2),
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);
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const observedLowBreak = Boolean(guardReason.observed_low_break);
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const observedLowLag = Boolean(guardReason.observed_low_lag);
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const peakHasPassed = Boolean(
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guardReason.peak_has_passed ||
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["past", "post_peak", "after_peak"].includes(
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String((row as { window_phase?: string | null } | null)?.window_phase || "").toLowerCase(),
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),
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);
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const modelSpread = modelMax != null && modelMin != null ? modelMax - modelMin : null;
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const modelHighlyConsistent =
|
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modelEntries.length >= 4 && modelSpread != null && modelSpread <= 2;
|
||
const needsNextBulletin =
|
||
!observationStale &&
|
||
!observedHighBreak &&
|
||
!observedLowBreak &&
|
||
!peakHasPassed &&
|
||
(observedLowLag || paceTone === "neutral" || aiForecast.status === "loading");
|
||
const aiRuleEvidenceMode = Boolean(
|
||
aiForecast.status === "failed" ||
|
||
(aiForecast.status === "ready" && !aiCityForecast) ||
|
||
aiForecast.payload?.degraded ||
|
||
aiMeta?.fallback,
|
||
);
|
||
const aiReadCopy = getAiReadCopy({ isEn, isHkoObservation });
|
||
const aiReadInProgressText = aiReadCopy.inProgress;
|
||
const aiReadCompleteText = aiReadCopy.complete;
|
||
const aiRuleEvidenceText = aiReadCopy.ruleEvidence;
|
||
const decisionState = buildCityDecisionState({
|
||
aiCityForecast,
|
||
aiForecast,
|
||
aiRuleEvidenceMode,
|
||
isEn,
|
||
isHkoObservation,
|
||
marketDecisionView,
|
||
modelHighlyConsistent,
|
||
needsNextBulletin,
|
||
observationStale,
|
||
observedHighBreak,
|
||
observedLowBreak,
|
||
observedLowLag,
|
||
peakHasPassed,
|
||
});
|
||
const dataFreshnessRows = [
|
||
{
|
||
label: isHkoObservation ? (isEn ? "HKO" : "天文台") : "METAR",
|
||
value: buildObservationFreshnessValue({
|
||
detail,
|
||
displayTime: metarReportTimeDisplay,
|
||
isEn,
|
||
isHkoObservation,
|
||
}),
|
||
tone: observationStale ? "stale" : "fresh",
|
||
},
|
||
{
|
||
label: isEn ? "Models" : "模型",
|
||
value: buildModelFreshnessValue(detail, locale, isEn),
|
||
tone: "fresh",
|
||
},
|
||
{
|
||
label: isEn ? "Market" : "市场价格",
|
||
value: buildMarketFreshnessValue({ isEn, marketScan, marketStatus }),
|
||
tone:
|
||
marketDecisionView.status === "ready"
|
||
? "fresh"
|
||
: marketDecisionView.status === "loading"
|
||
? "loading"
|
||
: "stale",
|
||
},
|
||
];
|
||
const freshnessSeparator = isEn ? ": " : "：";
|
||
const localizedRisksRaw =
|
||
(isEn ? aiCityForecast?.risks_en : aiCityForecast?.risks_zh) || [];
|
||
const localizedRisks = Array.isArray(localizedRisksRaw)
|
||
? localizedRisksRaw
|
||
: localizedRisksRaw
|
||
? [String(localizedRisksRaw)]
|
||
: [];
|
||
const aiBullets = [
|
||
localizedMetarRead,
|
||
localizedReasoning !== localizedFinalJudgment ? localizedReasoning : "",
|
||
localizedModelNote || localModelSupportNote,
|
||
...localizedRisks,
|
||
].filter((line) => String(line || "").trim());
|
||
const fallbackAiReason =
|
||
(isEn ? aiForecast.payload?.reason_en : aiForecast.payload?.reason_zh) ||
|
||
aiForecast.payload?.reason ||
|
||
"";
|
||
const marketLineText =
|
||
marketDecisionView.status === "ready"
|
||
? `${marketDecisionView.bucketLabel} · ${marketDecisionView.priceText}`
|
||
: marketDecisionView.status === "loading"
|
||
? isEn
|
||
? "syncing"
|
||
: "同步中"
|
||
: isEn
|
||
? "temporarily unavailable"
|
||
: "暂不可用";
|
||
|
||
const collapseId = `ai-city-body-${normalizeCityKey(item.cityName) || item.addedAt}`;
|
||
const loadingCopy = getCityLoadingCopy({ isEn, isHkoObservation });
|
||
const handleRefresh = (event: MouseEvent<HTMLButtonElement>) => {
|
||
event.preventDefault();
|
||
event.stopPropagation();
|
||
if (refreshingDetail) return;
|
||
setRefreshingDetail(true);
|
||
void onRefreshCityDetail(detailCityName)
|
||
.catch(() => {})
|
||
.finally(() => {
|
||
refreshAiForecast();
|
||
setRefreshingDetail(false);
|
||
});
|
||
};
|
||
const handleRemove = (event: MouseEvent<HTMLButtonElement>) => {
|
||
event.preventDefault();
|
||
event.stopPropagation();
|
||
onRemove();
|
||
};
|
||
|
||
return (
|
||
<article
|
||
className={clsx(
|
||
"scan-ai-city-card",
|
||
isCompactCard && "scan-mobile-decision-card",
|
||
collapsed && !isCompactCard && "collapsed",
|
||
removing && "removing",
|
||
)}
|
||
data-ai-status={decisionState.aiStatus}
|
||
data-evidence-quality={decisionState.evidenceQuality}
|
||
data-market-status={decisionState.marketStatus}
|
||
data-recommendation={decisionState.recommendation}
|
||
data-urgency={decisionState.urgency}
|
||
>
|
||
{isCompactCard ? (
|
||
<MobileDecisionCard
|
||
aiBullets={aiBullets}
|
||
aiCityForecast={aiCityForecast}
|
||
aiConfidence={aiConfidence}
|
||
aiForecast={aiForecast}
|
||
aiPredictedMax={aiPredictedMax}
|
||
aiRangeHigh={aiRangeHigh}
|
||
aiRangeLow={aiRangeLow}
|
||
aiReadCompleteText={aiReadCompleteText}
|
||
aiReadInProgressText={aiReadInProgressText}
|
||
aiRuleEvidenceMode={aiRuleEvidenceMode}
|
||
aiRuleEvidenceText={aiRuleEvidenceText}
|
||
currentTempText={currentTempText}
|
||
dataFreshnessRows={dataFreshnessRows}
|
||
debPrediction={debNumber}
|
||
decisionState={decisionState}
|
||
detail={detail}
|
||
displayName={displayName}
|
||
expectedHighText={expectedHighText}
|
||
fallbackAiReason={fallbackAiReason}
|
||
freshnessSeparator={freshnessSeparator}
|
||
isEn={isEn}
|
||
isHkoObservation={isHkoObservation}
|
||
isRefreshing={isRefreshing}
|
||
localModelSupportNote={localModelSupportNote}
|
||
localizedFinalJudgment={localizedFinalJudgment}
|
||
marketDecisionView={marketDecisionView}
|
||
marketLineText={marketLineText}
|
||
onRefresh={handleRefresh}
|
||
onRemove={handleRemove}
|
||
peakWindow={peakWindow}
|
||
rawObservationText={rawObservationText}
|
||
removing={removing}
|
||
tempSymbol={tempSymbol}
|
||
/>
|
||
) : (
|
||
<>
|
||
<CityCardHeader
|
||
aiStatusLabel={decisionState.aiStatusLabel}
|
||
aiStatusTone={decisionState.aiStatusTone}
|
||
collapseId={collapseId}
|
||
collapsed={collapsed}
|
||
currentTempText={currentTempText}
|
||
dataFreshnessRows={dataFreshnessRows}
|
||
debText={debText}
|
||
detailLocalTime={detail?.local_time}
|
||
displayName={displayName}
|
||
expectedHighText={expectedHighText}
|
||
freshnessSeparator={freshnessSeparator}
|
||
isEn={isEn}
|
||
isRefreshing={isRefreshing}
|
||
modelRange={modelRange}
|
||
onRefresh={handleRefresh}
|
||
onRemove={handleRemove}
|
||
onToggleCollapsed={onToggleCollapsed}
|
||
peakWindow={peakWindow}
|
||
removing={removing}
|
||
rowLocalTime={row?.local_time}
|
||
statusTags={decisionState.badges}
|
||
/>
|
||
|
||
{detail && !collapsed ? (
|
||
<div className="scan-ai-city-body" id={collapseId}>
|
||
<WeatherDecisionBand
|
||
currentTempText={currentTempText}
|
||
decisionView={decisionView}
|
||
decisionWhyText={decisionState.primaryReason}
|
||
isEn={isEn}
|
||
longText={localizedFinalJudgment || paceText}
|
||
marketDecisionView={marketDecisionView}
|
||
marketLineText={marketLineText}
|
||
paceDeltaText={paceView?.deltaText || "--"}
|
||
peakWindow={peakWindow}
|
||
/>
|
||
|
||
<div className="scan-ai-city-analysis-grid">
|
||
<AiCityTemperatureChart detail={detail} />
|
||
<AiEvidencePanel
|
||
aiBullets={aiBullets}
|
||
aiCityForecast={aiCityForecast}
|
||
aiConfidence={aiConfidence}
|
||
aiForecast={aiForecast}
|
||
aiPredictedMax={aiPredictedMax}
|
||
aiRangeHigh={aiRangeHigh}
|
||
aiRangeLow={aiRangeLow}
|
||
aiReadCompleteText={aiReadCompleteText}
|
||
aiReadInProgressText={aiReadInProgressText}
|
||
aiRuleEvidenceMode={aiRuleEvidenceMode}
|
||
aiRuleEvidenceText={aiRuleEvidenceText}
|
||
debPrediction={debNumber}
|
||
fallbackAiReason={fallbackAiReason}
|
||
isEn={isEn}
|
||
isHkoObservation={isHkoObservation}
|
||
localModelSupportNote={localModelSupportNote}
|
||
localizedFinalJudgment={localizedFinalJudgment}
|
||
rawObservationText={rawObservationText}
|
||
tempSymbol={tempSymbol}
|
||
/>
|
||
</div>
|
||
|
||
<ModelEvidencePanel detail={detail} isEn={isEn} />
|
||
</div>
|
||
) : !detail ? (
|
||
<div className="scan-ai-city-loading">
|
||
<LoadingSignal
|
||
title={loadingCopy.title}
|
||
description={loadingCopy.description}
|
||
compact
|
||
/>
|
||
</div>
|
||
) : null}
|
||
</>
|
||
)}
|
||
</article>
|
||
);
|
||
}
|