719 lines
27 KiB
TypeScript
719 lines
27 KiB
TypeScript
"use client";
|
||
|
||
import clsx from "clsx";
|
||
import { ChevronDown, RefreshCw, X } from "lucide-react";
|
||
import { useCallback, useEffect, useRef, useState } from "react";
|
||
import { ModelForecast } from "@/components/dashboard/PanelSections";
|
||
import { AiCityTemperatureChart } from "@/components/dashboard/scan-terminal/AiCityTemperatureChart";
|
||
import {
|
||
buildMarketDecisionView,
|
||
buildWeatherDecisionView,
|
||
resolveExpectedHighCandidate,
|
||
} from "@/components/dashboard/scan-terminal/city-card-decision-utils";
|
||
import { findDetailForCity } from "@/components/dashboard/scan-terminal/city-detail-utils";
|
||
import { findRowForCity, getPeakWindowLabel, normalizeCityKey } from "@/components/dashboard/scan-terminal/decision-utils";
|
||
import { LoadingSignal } from "@/components/dashboard/scan-terminal/LoadingSignal";
|
||
import type { AiPinnedCity } from "@/components/dashboard/scan-terminal/types";
|
||
import {
|
||
useAiCityForecast,
|
||
useAiMetarSummary,
|
||
useCityMarketScan,
|
||
} from "@/components/dashboard/scan-terminal/use-ai-city-card-data";
|
||
import type { CityDetail, ScanOpportunityRow } from "@/lib/dashboard-types";
|
||
import { formatTemperatureValue, getModelView, getTodayPaceView } from "@/lib/dashboard-utils";
|
||
|
||
function toFiniteDecisionNumber(value: unknown) {
|
||
if (value == null || value === "") return null;
|
||
const numeric = Number(value);
|
||
return Number.isFinite(numeric) ? numeric : null;
|
||
}
|
||
|
||
function parseEpochMs(value: unknown) {
|
||
if (value == null || value === "") return null;
|
||
const numeric = Number(value);
|
||
if (Number.isFinite(numeric)) return numeric > 1_000_000_000_000 ? numeric : numeric * 1000;
|
||
const parsed = new Date(String(value));
|
||
return Number.isNaN(parsed.getTime()) ? null : parsed.getTime();
|
||
}
|
||
|
||
function formatMetarReportTime(detail: CityDetail | null, report: string, isEn: boolean) {
|
||
const offsetSeconds = Number(detail?.utc_offset_seconds);
|
||
const epochMs =
|
||
parseEpochMs(detail?.airport_current?.report_time) ??
|
||
parseEpochMs(detail?.airport_current?.obs_time_epoch) ??
|
||
parseEpochMs(detail?.airport_current?.obs_time) ??
|
||
parseEpochMs(detail?.current?.report_time) ??
|
||
parseEpochMs(detail?.current?.obs_time_epoch) ??
|
||
parseEpochMs(detail?.current?.obs_time);
|
||
if (epochMs != null) {
|
||
const utc = new Date(epochMs);
|
||
const zText = `${String(utc.getUTCHours()).padStart(2, "0")}:${String(
|
||
utc.getUTCMinutes(),
|
||
).padStart(2, "0")}Z`;
|
||
if (Number.isFinite(offsetSeconds)) {
|
||
const local = new Date(epochMs + offsetSeconds * 1000);
|
||
const localText = `${String(local.getUTCHours()).padStart(2, "0")}:${String(
|
||
local.getUTCMinutes(),
|
||
).padStart(2, "0")}`;
|
||
return isEn ? `${zText} / local ${localText}` : `${zText} / 当地 ${localText}`;
|
||
}
|
||
return zText;
|
||
}
|
||
|
||
const rawToken = String(report || "").match(/\b(\d{2})(\d{2})(\d{2})Z\b/i);
|
||
if (!rawToken) return "";
|
||
const zText = `${rawToken[2]}:${rawToken[3]}Z`;
|
||
if (!Number.isFinite(offsetSeconds)) return zText;
|
||
const utcMinutes = Number(rawToken[2]) * 60 + Number(rawToken[3]);
|
||
if (!Number.isFinite(utcMinutes)) return zText;
|
||
const localMinutes = Math.round(
|
||
((utcMinutes + offsetSeconds / 60) % 1440 + 1440) % 1440,
|
||
);
|
||
const localText = `${String(Math.floor(localMinutes / 60)).padStart(2, "0")}:${String(
|
||
localMinutes % 60,
|
||
).padStart(2, "0")}`;
|
||
return isEn ? `${zText} / local ${localText}` : `${zText} / 当地 ${localText}`;
|
||
}
|
||
|
||
function normalizeMetarReadTime(text: string, displayTime: string, isEn: boolean) {
|
||
if (!text || !displayTime) return text;
|
||
const timeLabel = isEn ? `report time ${displayTime}` : `报文时间 ${displayTime}`;
|
||
return text
|
||
.replace(/报文时间\s*\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(?:\.\d+)?Z/gi, timeLabel)
|
||
.replace(/report time\s*\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(?:\.\d+)?Z/gi, timeLabel)
|
||
.replace(/\bat\s+\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(?:\.\d+)?Z/gi, `at ${displayTime}`);
|
||
}
|
||
|
||
function AiPinnedCityCard({
|
||
item,
|
||
detail,
|
||
row,
|
||
locale,
|
||
collapsed,
|
||
removing,
|
||
onRemove,
|
||
onToggleCollapsed,
|
||
}: {
|
||
item: AiPinnedCity;
|
||
detail: CityDetail | null;
|
||
row: ScanOpportunityRow | null;
|
||
locale: string;
|
||
collapsed: boolean;
|
||
removing?: boolean;
|
||
onRemove: () => void;
|
||
onToggleCollapsed: () => void;
|
||
}) {
|
||
const isEn = locale === "en-US";
|
||
const displayName =
|
||
detail?.display_name ||
|
||
row?.city_display_name ||
|
||
row?.display_name ||
|
||
item.displayName ||
|
||
item.cityName;
|
||
const tempSymbol = detail?.temp_symbol || row?.temp_symbol || "°C";
|
||
const modelView = detail ? getModelView(detail, detail.local_date) : null;
|
||
const modelEntries = modelView
|
||
? Object.entries(modelView.models || {})
|
||
.map(([name, value]) => [name, Number(value)] as const)
|
||
.filter(([, value]) => Number.isFinite(value))
|
||
: [];
|
||
const modelValues = modelEntries.map(([, value]) => value);
|
||
const modelMin = modelValues.length ? Math.min(...modelValues) : null;
|
||
const modelMax = modelValues.length ? Math.max(...modelValues) : null;
|
||
const paceView = detail ? getTodayPaceView(detail, locale as "zh-CN" | "en-US") : null;
|
||
const peakWindow =
|
||
paceView?.peakWindowText ||
|
||
(row ? getPeakWindowLabel(row) : null) ||
|
||
"--";
|
||
const deb = detail?.deb?.prediction ?? row?.deb_prediction ?? null;
|
||
const currentTemp =
|
||
detail?.airport_primary?.temp ??
|
||
detail?.airport_current?.temp ??
|
||
detail?.current?.temp ??
|
||
row?.current_temp ??
|
||
null;
|
||
const debNumber = toFiniteDecisionNumber(deb);
|
||
const currentTempNumber = toFiniteDecisionNumber(currentTemp);
|
||
const modelRange =
|
||
modelMin != null && modelMax != null
|
||
? `${formatTemperatureValue(modelMin, tempSymbol, { digits: 1 })} ~ ${formatTemperatureValue(modelMax, tempSymbol, { digits: 1 })}`
|
||
: "--";
|
||
const paceTone = paceView?.biasTone || "neutral";
|
||
const paceText =
|
||
paceView?.summary ||
|
||
(isEn
|
||
? "Waiting for intraday observations to compare against the DEB path."
|
||
: "等待更多日内实测，用来对照 DEB 预测路径。");
|
||
const report = detail?.current?.raw_metar || detail?.airport_current?.raw_metar || "";
|
||
const metarReportTimeDisplay = formatMetarReportTime(detail, report, isEn);
|
||
const airportStation =
|
||
detail?.risk?.icao ||
|
||
detail?.current?.station_code ||
|
||
detail?.airport_current?.station_code ||
|
||
detail?.airport_primary?.station_code ||
|
||
"";
|
||
const detailCityName = detail?.name || item.cityName;
|
||
const debText =
|
||
debNumber != null
|
||
? formatTemperatureValue(debNumber, tempSymbol, { digits: 1 })
|
||
: "";
|
||
const { metarSummary } = useAiMetarSummary({
|
||
airport: airportStation,
|
||
city: displayName,
|
||
deb: debText,
|
||
enabled: Boolean(detail && report),
|
||
isEn,
|
||
locale,
|
||
metar: report,
|
||
modelRange,
|
||
});
|
||
const { aiForecast, refreshAiForecast } = useAiCityForecast({
|
||
detail,
|
||
detailCityName,
|
||
enabled: Boolean(detail),
|
||
isEn,
|
||
locale,
|
||
report,
|
||
});
|
||
const { marketScan, marketStatus } = useCityMarketScan({
|
||
detail,
|
||
detailCityName,
|
||
enabled: Boolean(detail),
|
||
});
|
||
|
||
const aiCityForecast = aiForecast.payload?.city_forecast || null;
|
||
const localizedFinalJudgmentRaw =
|
||
(isEn ? aiCityForecast?.final_judgment_en : aiCityForecast?.final_judgment_zh) ||
|
||
(isEn ? aiCityForecast?.reasoning_en : aiCityForecast?.reasoning_zh) ||
|
||
"";
|
||
const localizedMetarReadRaw =
|
||
(isEn ? aiCityForecast?.metar_read_en : aiCityForecast?.metar_read_zh) ||
|
||
"";
|
||
const localizedReasoningRaw =
|
||
(isEn ? aiCityForecast?.reasoning_en : aiCityForecast?.reasoning_zh) ||
|
||
"";
|
||
const localizedFinalJudgment = normalizeMetarReadTime(
|
||
localizedFinalJudgmentRaw,
|
||
metarReportTimeDisplay,
|
||
isEn,
|
||
);
|
||
const localizedMetarRead = normalizeMetarReadTime(
|
||
localizedMetarReadRaw,
|
||
metarReportTimeDisplay,
|
||
isEn,
|
||
);
|
||
const localizedReasoning = normalizeMetarReadTime(
|
||
localizedReasoningRaw,
|
||
metarReportTimeDisplay,
|
||
isEn,
|
||
);
|
||
const localizedModelNote =
|
||
(isEn
|
||
? aiCityForecast?.model_cluster_note_en
|
||
: aiCityForecast?.model_cluster_note_zh) || "";
|
||
const modelPreview = modelEntries
|
||
.slice(0, 4)
|
||
.map(([name, value]) => `${name} ${formatTemperatureValue(value, tempSymbol, { digits: 1 })}`)
|
||
.join(isEn ? " / " : " / ");
|
||
const localModelSupportNote = modelEntries.length
|
||
? isEn
|
||
? modelEntries.length <= 2
|
||
? `Model support is sparse: only ${modelEntries.length} sources are available${modelPreview ? ` (${modelPreview})` : ""}, so the read should lean more on DEB path and METAR.`
|
||
: `Model support: ${modelEntries.length} sources cluster between ${modelRange}; ${modelPreview}.`
|
||
: modelEntries.length <= 2
|
||
? `多模型支撑偏少：当前只有 ${modelEntries.length} 个模型${modelPreview ? `（${modelPreview}）` : ""}，需要更重视 DEB 路径和 METAR 实测。`
|
||
: `多模型支撑：${modelEntries.length} 个模型集中在 ${modelRange}，代表模型为 ${modelPreview}。`
|
||
: isEn
|
||
? "Model support is unavailable, so this city must rely on DEB path and METAR observations."
|
||
: "暂无可用多模型支撑，需要主要参考 DEB 路径和 METAR 实测。";
|
||
const aiPredictedMax = toFiniteDecisionNumber(aiCityForecast?.predicted_max);
|
||
const decisionExpectedHighNumber = resolveExpectedHighCandidate({
|
||
aiPredictedMax,
|
||
currentTemp: currentTempNumber,
|
||
deb: debNumber,
|
||
modelMax,
|
||
modelMin,
|
||
paceAdjustedHigh: paceView?.paceAdjustedHigh ?? null,
|
||
});
|
||
const decisionView = buildWeatherDecisionView({
|
||
aiCityForecast,
|
||
currentTemp: currentTempNumber,
|
||
deb: debNumber,
|
||
isEn,
|
||
localModelSupportNote,
|
||
modelEntries,
|
||
modelMax,
|
||
modelMin,
|
||
paceTone,
|
||
paceView,
|
||
peakWindow,
|
||
tempSymbol,
|
||
});
|
||
const marketDecisionView = buildMarketDecisionView({
|
||
expectedHigh: decisionExpectedHighNumber,
|
||
isEn,
|
||
marketScan,
|
||
marketStatus,
|
||
tempSymbol,
|
||
});
|
||
const localizedRisksRaw =
|
||
(isEn ? aiCityForecast?.risks_en : aiCityForecast?.risks_zh) || [];
|
||
const localizedRisks = Array.isArray(localizedRisksRaw)
|
||
? localizedRisksRaw
|
||
: localizedRisksRaw
|
||
? [String(localizedRisksRaw)]
|
||
: [];
|
||
const aiBullets = [
|
||
localizedReasoning !== localizedFinalJudgment ? localizedReasoning : "",
|
||
localizedModelNote || localModelSupportNote,
|
||
...localizedRisks,
|
||
].filter((line) => String(line || "").trim());
|
||
const fallbackAiReason =
|
||
(isEn ? aiForecast.payload?.reason_en : aiForecast.payload?.reason_zh) ||
|
||
aiForecast.payload?.reason ||
|
||
"";
|
||
|
||
const collapseId = `ai-city-body-${normalizeCityKey(item.cityName) || item.addedAt}`;
|
||
|
||
return (
|
||
<article className={clsx("scan-ai-city-card", collapsed && "collapsed", removing && "removing")}>
|
||
<header className="scan-ai-city-hero">
|
||
<div>
|
||
<span className="scan-ai-city-kicker">
|
||
{isEn ? "Deep analysis" : "城市深度分析"}
|
||
</span>
|
||
<h3>{displayName}</h3>
|
||
<div className="scan-ai-city-pills">
|
||
<span>{detail?.local_time || row?.local_time || "--"}</span>
|
||
<span>
|
||
DEB{" "}
|
||
{debNumber != null
|
||
? formatTemperatureValue(debNumber, tempSymbol, { digits: 1 })
|
||
: "--"}
|
||
</span>
|
||
<span>{isEn ? "Model" : "模型"} {modelRange}</span>
|
||
<span>{isEn ? "Peak" : "峰值"} {peakWindow}</span>
|
||
</div>
|
||
</div>
|
||
<div className="scan-ai-city-hero-side">
|
||
<span>{isEn ? "Expected high" : "预计最高温"}</span>
|
||
<strong>
|
||
{decisionExpectedHighNumber != null
|
||
? formatTemperatureValue(decisionExpectedHighNumber, tempSymbol, { digits: 1 })
|
||
: "--"}
|
||
</strong>
|
||
<div className="scan-ai-city-actions">
|
||
<button
|
||
type="button"
|
||
className="scan-ai-city-icon-button"
|
||
onClick={(event) => {
|
||
event.preventDefault();
|
||
event.stopPropagation();
|
||
refreshAiForecast();
|
||
}}
|
||
aria-label={isEn ? `Refresh ${displayName} analysis` : `刷新 ${displayName} 深度分析`}
|
||
title={isEn ? "Refresh analysis" : "刷新深度分析"}
|
||
disabled={aiForecast.status === "loading"}
|
||
>
|
||
<RefreshCw size={15} className={aiForecast.status === "loading" ? "spin" : undefined} />
|
||
</button>
|
||
<button
|
||
type="button"
|
||
className="scan-ai-city-icon-button danger"
|
||
onClick={(event) => {
|
||
event.preventDefault();
|
||
event.stopPropagation();
|
||
onRemove();
|
||
}}
|
||
aria-label={isEn ? `Remove ${displayName}` : `移除 ${displayName}`}
|
||
title={isEn ? "Remove city" : "移除城市"}
|
||
disabled={removing}
|
||
>
|
||
<X size={15} />
|
||
</button>
|
||
<button
|
||
type="button"
|
||
className="scan-ai-city-collapse"
|
||
onClick={onToggleCollapsed}
|
||
aria-expanded={!collapsed}
|
||
aria-controls={collapseId}
|
||
>
|
||
<ChevronDown size={15} />
|
||
{collapsed ? (isEn ? "Expand" : "展开") : (isEn ? "Collapse" : "收起")}
|
||
</button>
|
||
</div>
|
||
</div>
|
||
</header>
|
||
|
||
{detail && !collapsed ? (
|
||
<div className="scan-ai-city-body" id={collapseId}>
|
||
<section className={clsx("scan-ai-decision-band", decisionView.tone)}>
|
||
<div className="scan-ai-decision-main">
|
||
<span>{decisionView.kicker}</span>
|
||
<strong>{decisionView.action}</strong>
|
||
<p>{localizedFinalJudgment || paceText}</p>
|
||
<div className="scan-ai-decision-reasons">
|
||
{decisionView.reasons.map((reason, index) => (
|
||
<small key={`${reason}-${index}`}>{reason}</small>
|
||
))}
|
||
</div>
|
||
<p className="scan-ai-decision-risk">{decisionView.risk}</p>
|
||
<div className={clsx("scan-ai-market-decision", marketDecisionView.tone)}>
|
||
<div>
|
||
<span>
|
||
{isEn ? "Polymarket price layer" : "Polymarket 价格层"}
|
||
</span>
|
||
<strong>{marketDecisionView.title}</strong>
|
||
<p>{marketDecisionView.reason}</p>
|
||
</div>
|
||
<div className="scan-ai-market-decision-stats">
|
||
<small>
|
||
{isEn ? "Bucket" : "温度桶"} <b>{marketDecisionView.bucketLabel}</b>
|
||
</small>
|
||
<small>
|
||
{isEn ? "YES" : "YES 买入"} <b>{marketDecisionView.priceText}</b>
|
||
</small>
|
||
<small>
|
||
{isEn ? "Edge" : "概率差"} <b>{marketDecisionView.edgeText}</b>
|
||
</small>
|
||
</div>
|
||
{marketDecisionView.marketUrl ? (
|
||
<a
|
||
className="scan-ai-market-link"
|
||
href={marketDecisionView.marketUrl}
|
||
target="_blank"
|
||
rel="noreferrer"
|
||
>
|
||
{isEn ? "Open market" : "打开市场"}
|
||
</a>
|
||
) : null}
|
||
</div>
|
||
</div>
|
||
<div className="scan-ai-decision-metrics">
|
||
<span>
|
||
{isEn ? "Expected high" : "预计高点"}
|
||
<b>{decisionView.expectedHigh}</b>
|
||
</span>
|
||
<span>
|
||
{isEn ? "Weather range" : "天气区间"}
|
||
<b>{decisionView.targetRange}</b>
|
||
</span>
|
||
<span>
|
||
{isEn ? "Confidence" : "信心"}
|
||
<b>{decisionView.confidence}</b>
|
||
</span>
|
||
<span>
|
||
{isEn ? "Observed" : "实测"}
|
||
<b>
|
||
{currentTempNumber != null
|
||
? formatTemperatureValue(currentTempNumber, tempSymbol, { digits: 1 })
|
||
: "--"}
|
||
</b>
|
||
</span>
|
||
<span>
|
||
{isEn ? "Path delta" : "路径偏差"} <b>{paceView?.deltaText || "--"}</b>
|
||
</span>
|
||
<span>
|
||
{isEn ? "Peak window" : "峰值窗口"} <b>{peakWindow}</b>
|
||
</span>
|
||
<span>
|
||
{isEn ? "Market implied" : "市场隐含"} <b>{marketDecisionView.impliedText}</b>
|
||
</span>
|
||
<span>
|
||
{isEn ? "Model prob" : "模型概率"} <b>{marketDecisionView.modelText}</b>
|
||
</span>
|
||
<span>
|
||
{isEn ? "Quote status" : "报价状态"} <b>{marketDecisionView.status === "ready" ? (isEn ? "Ready" : "已同步") : marketDecisionView.status === "loading" ? (isEn ? "Loading" : "同步中") : (isEn ? "Unavailable" : "不可用")}</b>
|
||
</span>
|
||
</div>
|
||
</section>
|
||
|
||
<div className="scan-ai-city-analysis-grid">
|
||
<AiCityTemperatureChart detail={detail} />
|
||
<section className="scan-ai-city-section">
|
||
<div className="scan-ai-city-section-title">
|
||
{isEn ? "Evidence · AI airport read" : "证据 · AI 机场报文解读"}
|
||
</div>
|
||
{metarSummary.status === "loading" ? (
|
||
<>
|
||
<p className="scan-ai-weather-summary">
|
||
{metarSummary.streamText ||
|
||
(isEn
|
||
? "Streaming the lightweight METAR read..."
|
||
: "轻量 METAR 解读正在流式输出…")}
|
||
</p>
|
||
<p className="scan-ai-city-muted">
|
||
{isEn
|
||
? "This read is independent from the full city review below."
|
||
: "这一步已和下方完整城市分析解耦，不等待完整 JSON。"}
|
||
</p>
|
||
</>
|
||
) : metarSummary.status === "ready" && metarSummary.streamText ? (
|
||
<p className="scan-ai-weather-summary">{metarSummary.streamText}</p>
|
||
) : metarSummary.status === "failed" ? (
|
||
<p>
|
||
{localizedMetarRead ||
|
||
(isEn
|
||
? "Lightweight AI METAR read is unavailable; raw METAR remains below."
|
||
: "轻量 AI METAR 解读暂不可用；下方保留原始 METAR。")}
|
||
</p>
|
||
) : (
|
||
<p>
|
||
{report
|
||
? isEn
|
||
? "Waiting for lightweight AI to read the latest METAR."
|
||
: "等待轻量 AI 解读最新 METAR。"
|
||
: isEn
|
||
? "Raw METAR is unavailable."
|
||
: "暂无原始 METAR。"}
|
||
</p>
|
||
)}
|
||
<p className="scan-ai-raw-metar">
|
||
{report
|
||
? `${isEn ? "Raw METAR" : "原始 METAR"}：${`${airportStation} ${report}`.trim()}`
|
||
: isEn
|
||
? "Raw METAR: unavailable."
|
||
: "原始 METAR：暂无。"}
|
||
</p>
|
||
</section>
|
||
<section className="scan-ai-city-section">
|
||
<div className="scan-ai-city-section-title">
|
||
{isEn ? "Complete city AI review" : "完整城市 AI 判断"}
|
||
</div>
|
||
{aiForecast.status === "loading" ? (
|
||
<>
|
||
<p className={aiForecast.streamText ? "scan-ai-weather-summary" : undefined}>
|
||
{localizedFinalJudgment ||
|
||
aiForecast.streamText ||
|
||
(isEn
|
||
? "Generating the full city review in the background..."
|
||
: "后台正在生成完整城市分析…")}
|
||
</p>
|
||
<p className="scan-ai-city-muted">
|
||
{isEn
|
||
? "This heavier JSON review can finish after the airport read."
|
||
: "这部分是较重的 JSON 分析，可以晚于机场报文解读完成。"}
|
||
</p>
|
||
</>
|
||
) : aiForecast.status === "ready" && aiCityForecast ? (
|
||
<>
|
||
<p className="scan-ai-weather-summary">
|
||
{localizedFinalJudgment ||
|
||
(isEn ? "AI read returned without a final sentence." : "AI 已返回，但缺少最终判断。")}
|
||
</p>
|
||
<ul className="scan-ai-weather-bullets">
|
||
{aiBullets.map((line, index) => (
|
||
<li key={`${line}-${index}`}>{line}</li>
|
||
))}
|
||
</ul>
|
||
</>
|
||
) : aiForecast.status === "ready" ? (
|
||
<>
|
||
<p>
|
||
{aiForecast.payload?.status === "timeout"
|
||
? isEn
|
||
? "DeepSeek enhancement timed out. You can retry; city data and the right briefing were not refreshed."
|
||
: "DeepSeek 增强本次超时，可稍后重试；城市数据和右侧简报不会被刷新。"
|
||
: fallbackAiReason ||
|
||
(isEn
|
||
? "AI read is unavailable for this city right now."
|
||
: "该城市暂时没有可用的 AI 解读。")}
|
||
</p>
|
||
<ul className="scan-ai-weather-bullets">
|
||
<li>{localModelSupportNote}</li>
|
||
</ul>
|
||
</>
|
||
) : aiForecast.status === "failed" ? (
|
||
<>
|
||
<p>
|
||
{isEn
|
||
? "AI read failed. Model support and the raw METAR remain as fallback context."
|
||
: "AI 解读失败。下方保留多模型支撑和原始 METAR 作为兜底上下文。"}
|
||
{aiForecast.error ? ` ${aiForecast.error}` : ""}
|
||
</p>
|
||
<ul className="scan-ai-weather-bullets">
|
||
<li>{localModelSupportNote}</li>
|
||
</ul>
|
||
</>
|
||
) : (
|
||
<p>
|
||
{isEn
|
||
? "The complete city review is queued in the background."
|
||
: "完整城市分析正在后台排队。"}
|
||
</p>
|
||
)}
|
||
</section>
|
||
</div>
|
||
|
||
<section className="scan-ai-city-section models">
|
||
<div className="scan-ai-city-section-title">
|
||
{isEn ? "Evidence · multi-model support" : "证据 · 多模型支撑"}
|
||
</div>
|
||
<ModelForecast detail={detail} targetDate={detail.local_date} hideTitle />
|
||
</section>
|
||
|
||
</div>
|
||
) : !detail ? (
|
||
<div className="scan-ai-city-loading">
|
||
<LoadingSignal
|
||
title={isEn ? "Loading city decision data" : "正在加载城市决策数据"}
|
||
description={
|
||
isEn
|
||
? "Hydrating today’s model stack, METAR context and market layer."
|
||
: "正在补全今日模型、机场报文和市场价格层。"
|
||
}
|
||
compact
|
||
/>
|
||
</div>
|
||
) : null}
|
||
</article>
|
||
);
|
||
}
|
||
|
||
export function AiPinnedForecastView({
|
||
items,
|
||
rows,
|
||
detailsByName,
|
||
locale,
|
||
onRemoveCity,
|
||
}: {
|
||
items: AiPinnedCity[];
|
||
rows: ScanOpportunityRow[];
|
||
detailsByName: Record<string, CityDetail>;
|
||
locale: string;
|
||
onRemoveCity: (cityName: string) => void;
|
||
}) {
|
||
const isEn = locale === "en-US";
|
||
const [collapsedCities, setCollapsedCities] = useState<Set<string>>(
|
||
() => new Set(),
|
||
);
|
||
const [removingCities, setRemovingCities] = useState<Set<string>>(
|
||
() => new Set(),
|
||
);
|
||
const knownCityKeysRef = useRef<Set<string>>(new Set());
|
||
const removeTimersRef = useRef<Map<string, ReturnType<typeof setTimeout>>>(new Map());
|
||
|
||
useEffect(() => {
|
||
const activeKeys = new Set(
|
||
items.map((item) => normalizeCityKey(item.cityName) || item.cityName),
|
||
);
|
||
setCollapsedCities((current) => {
|
||
const next = new Set<string>();
|
||
let changed = false;
|
||
current.forEach((key) => {
|
||
if (activeKeys.has(key)) {
|
||
next.add(key);
|
||
} else {
|
||
changed = true;
|
||
}
|
||
});
|
||
items.forEach((item) => {
|
||
const stableKey = normalizeCityKey(item.cityName) || item.cityName;
|
||
if (!knownCityKeysRef.current.has(stableKey)) {
|
||
changed = true;
|
||
}
|
||
});
|
||
return changed ? next : current;
|
||
});
|
||
knownCityKeysRef.current = activeKeys;
|
||
}, [items]);
|
||
|
||
useEffect(() => {
|
||
return () => {
|
||
removeTimersRef.current.forEach((timer) => clearTimeout(timer));
|
||
removeTimersRef.current.clear();
|
||
};
|
||
}, []);
|
||
|
||
const removeCityWithMotion = useCallback(
|
||
(item: AiPinnedCity, stableKey: string) => {
|
||
if (removeTimersRef.current.has(stableKey)) return;
|
||
setRemovingCities((current) => {
|
||
const next = new Set(current);
|
||
next.add(stableKey);
|
||
return next;
|
||
});
|
||
const timer = setTimeout(() => {
|
||
onRemoveCity(item.cityName);
|
||
setRemovingCities((current) => {
|
||
const next = new Set(current);
|
||
next.delete(stableKey);
|
||
return next;
|
||
});
|
||
removeTimersRef.current.delete(stableKey);
|
||
}, 260);
|
||
removeTimersRef.current.set(stableKey, timer);
|
||
},
|
||
[onRemoveCity],
|
||
);
|
||
|
||
if (!items.length) {
|
||
return (
|
||
<div className="scan-ai-workspace empty">
|
||
<div className="scan-empty-state">
|
||
<div className="scan-empty-title">
|
||
{isEn ? "Click a city on the map" : "从分布视图点击城市"}
|
||
</div>
|
||
<div className="scan-empty-copy">
|
||
{isEn
|
||
? "Selected cities will appear here as deep analysis blocks."
|
||
: "被点击的城市会加入深度分析页，并保留为城市分析区块。"}
|
||
</div>
|
||
</div>
|
||
</div>
|
||
);
|
||
}
|
||
|
||
return (
|
||
<div className="scan-ai-workspace">
|
||
<div className="scan-ai-workspace-head">
|
||
<div>
|
||
<span>{isEn ? "Selected city workspace" : "城市分析工作区"}</span>
|
||
<strong>
|
||
{isEn
|
||
? `${items.length} cities under deep analysis`
|
||
: `${items.length} 个城市正在深度分析`}
|
||
</strong>
|
||
</div>
|
||
<p>
|
||
{isEn
|
||
? "Map clicks add cities here. City analysis stays here until you remove it."
|
||
: "地图点击会把城市加入这里；城市分析会保留，直到你手动移除。"}
|
||
</p>
|
||
</div>
|
||
<div className="scan-ai-city-stack">
|
||
{items.map((item) => {
|
||
const detail = findDetailForCity(detailsByName, item.cityName);
|
||
const row = findRowForCity(rows, item.cityName);
|
||
const key = normalizeCityKey(item.cityName);
|
||
const stableKey = key || item.cityName;
|
||
const isKnownCity = knownCityKeysRef.current.has(stableKey);
|
||
return (
|
||
<AiPinnedCityCard
|
||
key={stableKey}
|
||
item={item}
|
||
detail={detail}
|
||
row={row}
|
||
locale={locale}
|
||
collapsed={!isKnownCity || collapsedCities.has(stableKey)}
|
||
removing={removingCities.has(stableKey)}
|
||
onRemove={() => removeCityWithMotion(item, stableKey)}
|
||
onToggleCollapsed={() => {
|
||
setCollapsedCities((current) => {
|
||
const next = new Set(current);
|
||
if (next.has(stableKey)) {
|
||
next.delete(stableKey);
|
||
} else {
|
||
next.add(stableKey);
|
||
}
|
||
return next;
|
||
});
|
||
}}
|
||
/>
|
||
);
|
||
})}
|
||
</div>
|
||
</div>
|
||
);
|
||
}
|