- {isEn ? "Evidence · AI airport read" : "证据 · AI 机场报文解读"}
+ {isHkoObservation
+ ? isEn
+ ? "Evidence · AI HKO observation read"
+ : "证据 · AI 香港天文台观测解读"
+ : isEn
+ ? "Evidence · AI airport read"
+ : "证据 · AI 机场报文解读"}
{aiForecast.status === "loading" ? (
<>
@@ -441,13 +476,21 @@ function AiPinnedCityCard({
{localizedFinalJudgment ||
aiForecast.streamText ||
(isEn
- ? "DeepSeek is reading the airport bulletin and city context..."
- : "DeepSeek 正在统一解读机场报文和城市上下文…")}
+ ? isHkoObservation
+ ? "DeepSeek is reading the HKO observation and city context..."
+ : "DeepSeek is reading the airport bulletin and city context..."
+ : isHkoObservation
+ ? "DeepSeek 正在统一解读香港天文台观测和城市上下文…"
+ : "DeepSeek 正在统一解读机场报文和城市上下文…")}
{isEn
- ? "One v4-flash stream now drives both the airport read and city judgment."
- : "现在由 v4-flash 一条流同时生成机场报文解读和城市判断。"}
+ ? isHkoObservation
+ ? "One v4-flash stream now drives both the HKO observation read and city judgment."
+ : "One v4-flash stream now drives both the airport read and city judgment."
+ : isHkoObservation
+ ? "现在由 v4-flash 一条流同时生成香港天文台观测解读和城市判断。"
+ : "现在由 v4-flash 一条流同时生成机场报文解读和城市判断。"}
) : aiForecast.status === "ready" && aiCityForecast ? (
@@ -462,11 +505,7 @@ function AiPinnedCityCard({
))}
- {report
- ? `${isEn ? "Raw METAR" : "原始 METAR"}：${`${airportStation} ${report}`.trim()}`
- : isEn
- ? "Raw METAR: unavailable."
- : "原始 METAR：暂无。"}
+ {rawObservationText}
) : aiForecast.status === "ready" ? (
@@ -483,39 +522,35 @@ function AiPinnedCityCard({
- {localModelSupportNote}
- -
- {report
- ? `${isEn ? "Raw METAR" : "原始 METAR"}：${`${airportStation} ${report}`.trim()}`
- : isEn
- ? "Raw METAR is unavailable."
- : "暂无原始 METAR。"}
-
+ - {rawObservationText}
) : aiForecast.status === "failed" ? (
<>
{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。"}
+ ? isHkoObservation
+ ? "AI read failed. Model support and the HKO observation remain as fallback context."
+ : "AI read failed. Model support and the raw METAR remain as fallback context."
+ : isHkoObservation
+ ? "AI 解读失败。下方保留多模型支撑和香港天文台观测作为兜底上下文。"
+ : "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 ? ` ${aiForecast.error}` : ""}
- {localModelSupportNote}
- -
- {report
- ? `${isEn ? "Raw METAR" : "原始 METAR"}：${`${airportStation} ${report}`.trim()}`
- : isEn
- ? "Raw METAR is unavailable."
- : "暂无原始 METAR。"}
-
+ - {rawObservationText}
) : (
{isEn
- ? "Waiting for AI to read the latest airport bulletin."
- : "等待 AI 解读最新机场报文。"}
+ ? isHkoObservation
+ ? "Waiting for AI to read the latest HKO observation."
+ : "Waiting for AI to read the latest airport bulletin."
+ : isHkoObservation
+ ? "等待 AI 解读最新香港天文台观测。"
+ : "等待 AI 解读最新机场报文。"}
)}
@@ -535,8 +570,12 @@ function AiPinnedCityCard({
title={isEn ? "Loading city decision data" : "正在加载城市决策数据"}
description={
isEn
- ? "Hydrating today’s model stack, METAR context and market layer."
- : "正在补全今日模型、机场报文和市场价格层。"
+ ? isHkoObservation
+ ? "Hydrating today’s model stack, HKO observation context and market layer."
+ : "Hydrating today’s model stack, METAR context and market layer."
+ : isHkoObservation
+ ? "正在补全今日模型、香港天文台观测和市场价格层。"
+ : "正在补全今日模型、机场报文和市场价格层。"
}
compact
/>
diff --git a/frontend/components/dashboard/scan-terminal/city-card-decision-utils.ts b/frontend/components/dashboard/scan-terminal/city-card-decision-utils.ts
index e10ad212..6912b1de 100644
--- a/frontend/components/dashboard/scan-terminal/city-card-decision-utils.ts
+++ b/frontend/components/dashboard/scan-terminal/city-card-decision-utils.ts
@@ -203,6 +203,42 @@ function getBucketModelProbability(bucket?: MarketTopBucket | null) {
return model ?? probability;
}
+function getBucketDisplayUnit(bucket: MarketTopBucket, tempSymbol: string) {
+ return bucket.unit
+ ? `°${String(bucket.unit).replace(/^°/, "").toUpperCase()}`
+ : tempSymbol;
+}
+
+function buildBucketMappingExplanation({
+ bucket,
+ expectedHigh,
+ isEn,
+ tempSymbol,
+}: {
+ bucket: MarketTopBucket;
+ expectedHigh: number | null;
+ isEn: boolean;
+ tempSymbol: string;
+}) {
+ const comparable = normalizeMarketComparableTemp(expectedHigh, tempSymbol, bucket);
+ const rounded = getRoundedWeatherBucketValue(expectedHigh, tempSymbol, bucket);
+ if (comparable == null || rounded == null) return "";
+ const unit = getBucketDisplayUnit(bucket, tempSymbol);
+ const bucketLabel = getMarketBucketLabel(bucket, tempSymbol);
+ const expectedText = formatTemperatureValue(comparable, unit, { digits: 1 });
+ const hasRounding = Math.abs(comparable - rounded) >= 0.05;
+ if (isEn) {
+ const mapping = hasRounding
+ ? `Expected high ${expectedText} maps to the ${bucketLabel} settlement bucket after rounding.`
+ : `Expected high ${expectedText} maps to the ${bucketLabel} bucket.`;
+ return `${mapping} Model probability is still the bucket-distribution probability, not 100% just because the center maps there.`;
+ }
+ const mapping = hasRounding
+ ? `预计高点 ${expectedText} 按结算四舍五入映射到 ${bucketLabel} 桶。`
+ : `预计高点 ${expectedText} 对应 ${bucketLabel} 桶。`;
+ return `${mapping} 模型概率仍按温度分布计算，不等于把该桶视为 100%。`;
+}
+
function getMarketSelectedBucket(scan: MarketScan | null | undefined): MarketTopBucket | null {
const selected = scan?.temperature_bucket;
if (!selected) return null;
@@ -366,6 +402,13 @@ export function buildMarketDecisionView({
tone: "watch",
};
}
+ const bucketLabel = getMarketBucketLabel(bucket, tempSymbol);
+ const bucketMappingExplanation = buildBucketMappingExplanation({
+ bucket,
+ expectedHigh,
+ isEn,
+ tempSymbol,
+ });
const bucketProbability = getBucketModelProbability(bucket);
const scanProbability = normalizeMarketProbability(marketScan.model_probability);
const modelProbability = bucketProbability ?? scanProbability;
@@ -409,7 +452,7 @@ export function buildMarketDecisionView({
: "价格接近天气概率";
return {
- bucketLabel: getMarketBucketLabel(bucket, tempSymbol),
+ bucketLabel,
confidence: marketScan.confidence || "--",
edgeText: formatSignedMarketPercent(edge),
impliedText: formatMarketPercent(implied),
@@ -426,8 +469,8 @@ export function buildMarketDecisionView({
? "Quote is available, but model probability or YES price is incomplete."
: "已获取报价，但模型概率或 YES 价格不完整。"
: isEn
- ? `Model probability is ${formatMarketPercent(modelProbability)} versus market-implied ${formatMarketPercent(implied)}.`
- : `模型概率 ${formatMarketPercent(modelProbability)}，市场隐含约 ${formatMarketPercent(implied)}。`,
+ ? `Model probability is ${formatMarketPercent(modelProbability)} versus market-implied ${formatMarketPercent(implied)}.${bucketMappingExplanation ? ` ${bucketMappingExplanation}` : ""}`
+ : `模型概率 ${formatMarketPercent(modelProbability)}，市场隐含约 ${formatMarketPercent(implied)}。${bucketMappingExplanation ? ` ${bucketMappingExplanation}` : ""}`,
status: "ready",
title,
tone,
diff --git a/frontend/components/dashboard/scan-terminal/use-ai-city-card-data.ts b/frontend/components/dashboard/scan-terminal/use-ai-city-card-data.ts
index d57daf34..30838686 100644
--- a/frontend/components/dashboard/scan-terminal/use-ai-city-card-data.ts
+++ b/frontend/components/dashboard/scan-terminal/use-ai-city-card-data.ts
@@ -14,7 +14,7 @@ import type { CityDetail, MarketScan } from "@/lib/dashboard-types";
import { extractStreamingAirportRead } from "./ai-city-stream";
import { normalizeCityKey } from "./decision-utils";
-const AI_CITY_FORECAST_CACHE_PREFIX = "polyWeather_aiCityForecast_v3";
+const AI_CITY_FORECAST_CACHE_PREFIX = "polyWeather_aiCityForecast_v4";
const AI_CITY_FORECAST_CACHE_TTL_MS = 60 * 60 * 1000;
const AI_CITY_FORECAST_MAX_CONCURRENT_STREAMS = 2;
const CITY_MARKET_SCAN_CACHE_PREFIX = "polyWeather_cityMarketScan_v3";
@@ -61,6 +61,17 @@ function buildStorageKey(prefix: string, parts: Array