feat: implement AI-powered pinned city forecast dashboard with real-time METAR and market analysis integration

.env.example

@@ -140,18 +140,15 @@ POLYWEATHER_GROQ_COMMENTARY_CACHE_TTL_SEC=1800
 POLYWEATHER_SCAN_AI_ENABLED=false
 POLYWEATHER_DEEPSEEK_API_KEY=
 POLYWEATHER_DEEPSEEK_BASE_URL=https://api.deepseek.com
-POLYWEATHER_SCAN_AI_MODEL=deepseek-v4-pro
+POLYWEATHER_SCAN_AI_MODEL=deepseek-v4-flash
 POLYWEATHER_SCAN_CITY_AI_MODEL=deepseek-v4-flash
-POLYWEATHER_METAR_SUMMARY_AI_MODEL=deepseek-v4-flash
+POLYWEATHER_SCAN_AI_TIMEOUT_SEC=18
-POLYWEATHER_SCAN_AI_TIMEOUT_SEC=40
+POLYWEATHER_SCAN_CITY_AI_TIMEOUT_SEC=30
-POLYWEATHER_SCAN_CITY_AI_TIMEOUT_SEC=18
-POLYWEATHER_METAR_SUMMARY_AI_TIMEOUT_SEC=8
 POLYWEATHER_SCAN_CITY_AI_RETRY_ON_STREAM_PARSE_ERROR=false
 POLYWEATHER_SCAN_AI_CACHE_TTL_SEC=1800
 POLYWEATHER_SCAN_AI_MAX_ROWS=40
 POLYWEATHER_SCAN_AI_MAX_TOKENS=3200
 POLYWEATHER_SCAN_CITY_AI_MAX_TOKENS=900
-POLYWEATHER_METAR_SUMMARY_AI_MAX_TOKENS=160
 POLYWEATHER_SCAN_AI_PROXY_TIMEOUT_MS=55000
 POLYWEATHER_PREWARM_CITIES=ankara,istanbul,shanghai,beijing,shenzhen,guangzhou,wuhan,chengdu,chongqing,hong kong,taipei,singapore,tokyo,seoul,busan,london,paris,madrid
 POLYWEATHER_CITY_SUMMARY_CACHE_TTL_SEC=1800

frontend/app/api/ai/metar-summary/route.ts

@@ -1,69 +0,0 @@
-import { NextRequest, NextResponse } from "next/server";
-import {
-  applyAuthResponseCookies,
-  buildBackendRequestHeaders,
-} from "@/lib/backend-auth";
-
-const API_BASE = process.env.POLYWEATHER_API_BASE_URL;
-
-export const dynamic = "force-dynamic";
-export const maxDuration = 30;
-
-export async function POST(req: NextRequest) {
-  if (!API_BASE) {
-    return NextResponse.json(
-      { error: "POLYWEATHER_API_BASE_URL is not configured" },
-      { status: 500 },
-    );
-  }
-
-  let body: unknown = {};
-  try {
-    body = await req.json();
-  } catch {
-    body = {};
-  }
-
-  const requestBody =
-    body && typeof body === "object" ? (body as Record<string, unknown>) : {};
-  const auth = await buildBackendRequestHeaders(req);
-  const headers = new Headers(auth.headers);
-  headers.set("Content-Type", "application/json");
-  headers.set("Accept", "text/event-stream");
-
-  try {
-    const res = await fetch(`${API_BASE}/api/ai/metar-summary`, {
-      method: "POST",
-      headers,
-      cache: "no-store",
-      body: JSON.stringify(requestBody),
-    });
-    if (!res.ok || !res.body) {
-      const raw = await res.text();
-      const response = NextResponse.json(
-        { error: `Backend returned ${res.status}`, detail: raw.slice(0, 300) },
-        { status: res.status === 402 || res.status === 403 ? res.status : 502 },
-      );
-      return applyAuthResponseCookies(response, auth.response);
-    }
-
-    const response = new NextResponse(res.body, {
-      status: 200,
-      headers: {
-        "Content-Type": "text/event-stream; charset=utf-8",
-        "Cache-Control": "no-store, no-transform",
-        "X-Accel-Buffering": "no",
-      },
-    });
-    return applyAuthResponseCookies(response, auth.response);
-  } catch (error) {
-    const response = NextResponse.json(
-      {
-        error: "Failed to stream METAR summary",
-        detail: String(error),
-      },
-      { status: 500 },
-    );
-    return applyAuthResponseCookies(response, auth.response);
-  }
-}

frontend/components/dashboard/ScanTerminalDashboard.tsx

@@ -412,6 +412,17 @@ function ScanTerminalScreen() {
     );
   }, []);
 
+  const refreshAiPinnedCityDetail = useCallback(
+    async (cityName: string) => {
+      const key = normalizeCityKey(cityName);
+      if (key) {
+        aiFullHydrationRef.current.delete(key);
+      }
+      await store.ensureCityDetail(cityName, true, "full");
+    },
+    [store.ensureCityDetail],
+  );
+
   useEffect(() => {
     aiPinnedCities.forEach((item) => {
       const key = normalizeCityKey(item.cityName);
@@ -527,6 +538,7 @@ function ScanTerminalScreen() {
           rows={timeSortedRows}
           detailsByName={store.cityDetailsByName}
           locale={locale}
+          onRefreshCityDetail={refreshAiPinnedCityDetail}
           onRemoveCity={removeAiPinnedCity}
         />
       );

frontend/components/dashboard/scan-terminal/AiPinnedForecastView.tsx

@@ -16,7 +16,6 @@ import { LoadingSignal } from "@/components/dashboard/scan-terminal/LoadingSigna
 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";
@@ -91,6 +90,7 @@ function AiPinnedCityCard({
   locale,
   collapsed,
   removing,
+  onRefreshCityDetail,
   onRemove,
   onToggleCollapsed,
 }: {
@@ -100,6 +100,7 @@ function AiPinnedCityCard({
   locale: string;
   collapsed: boolean;
   removing?: boolean;
+  onRefreshCityDetail: (cityName: string) => Promise<void>;
   onRemove: () => void;
   onToggleCollapsed: () => void;
 }) {
@@ -153,20 +154,7 @@ function AiPinnedCityCard({
     detail?.airport_primary?.station_code ||
     "";
   const detailCityName = detail?.name || item.cityName;
-  const debText =
+  const [refreshingDetail, setRefreshingDetail] = useState(false);
-    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,
@@ -180,6 +168,7 @@ function AiPinnedCityCard({
     detailCityName,
     enabled: Boolean(detail),
   });
+  const isRefreshing = refreshingDetail || aiForecast.status === "loading";
 
   const aiCityForecast = aiForecast.payload?.city_forecast || null;
   const localizedFinalJudgmentRaw =
@@ -264,6 +253,7 @@ function AiPinnedCityCard({
       ? [String(localizedRisksRaw)]
       : [];
   const aiBullets = [
+    localizedMetarRead,
     localizedReasoning !== localizedFinalJudgment ? localizedReasoning : "",
     localizedModelNote || localModelSupportNote,
     ...localizedRisks,
@@ -309,13 +299,24 @@ function AiPinnedCityCard({
               onClick={(event) => {
                 event.preventDefault();
                 event.stopPropagation();
-                refreshAiForecast();
+                if (refreshingDetail) return;
+                setRefreshingDetail(true);
+                void onRefreshCityDetail(detailCityName)
+                  .catch(() => {})
+                  .finally(() => {
+                    refreshAiForecast();
+                    setRefreshingDetail(false);
+                  });
               }}
               aria-label={isEn ? `Refresh ${displayName} analysis` : `刷新 ${displayName} 深度分析`}
-              title={isEn ? "Refresh analysis" : "刷新深度分析"}
+              title={
-              disabled={aiForecast.status === "loading"}
+                isEn
+                  ? "Refresh city data, chart and AI analysis"
+                  : "刷新城市数据、温度走势图和 AI 分析"
+              }
+              disabled={isRefreshing}
             >
-              <RefreshCw size={15} className={aiForecast.status === "loading" ? "spin" : undefined} />
+              <RefreshCw size={15} className={isRefreshing ? "spin" : undefined} />
             </button>
             <button
               type="button"
@@ -434,65 +435,19 @@ function AiPinnedCityCard({
               <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} ${report}`.trim()}`
-                  : isEn
-                    ? "Raw METAR: unavailable."
-                    : "原始 METAR：暂无。"}
-              </p>
-            </section>
-            <section className="scan-ai-city-section">
-              <div className="scan-ai-city-section-title">
-                {isEn ? "Complete city AI review" : "完整城市 AI 判断"}
-              </div>
               {aiForecast.status === "loading" ? (
                 <>
                   <p className={aiForecast.streamText ? "scan-ai-weather-summary" : undefined}>
                     {localizedFinalJudgment ||
                       aiForecast.streamText ||
                       (isEn
-                        ? "Generating the full city review in the background..."
+                        ? "DeepSeek is reading the airport bulletin and city context..."
-                        : "后台正在生成完整城市分析…")}
+                        : "DeepSeek 正在统一解读机场报文和城市上下文…")}
                   </p>
                   <p className="scan-ai-city-muted">
                     {isEn
-                      ? "This heavier JSON review can finish after the airport read."
+                      ? "One v4-flash stream now drives both the airport read and city judgment."
-                      : "这部分是较重的 JSON 分析，可以晚于机场报文解读完成。"}
+                      : "现在由 v4-flash 一条流同时生成机场报文解读和城市判断。"}
                   </p>
                 </>
               ) : aiForecast.status === "ready" && aiCityForecast ? (
@@ -506,6 +461,13 @@ function AiPinnedCityCard({
                       <li key={`${line}-${index}`}>{line}</li>
                     ))}
                   </ul>
+                  <p className="scan-ai-raw-metar">
+                    {report
+                      ? `${isEn ? "Raw METAR" : "原始 METAR"}：${`${airportStation} ${report}`.trim()}`
+                      : isEn
+                        ? "Raw METAR: unavailable."
+                        : "原始 METAR：暂无。"}
+                  </p>
                 </>
               ) : aiForecast.status === "ready" ? (
                 <>
@@ -521,6 +483,13 @@ function AiPinnedCityCard({
                   </p>
                   <ul className="scan-ai-weather-bullets">
                     <li>{localModelSupportNote}</li>
+                    <li>
+                      {report
+                        ? `${isEn ? "Raw METAR" : "原始 METAR"}：${`${airportStation} ${report}`.trim()}`
+                        : isEn
+                          ? "Raw METAR is unavailable."
+                          : "暂无原始 METAR。"}
+                    </li>
                   </ul>
                 </>
               ) : aiForecast.status === "failed" ? (
@@ -533,13 +502,20 @@ function AiPinnedCityCard({
                   </p>
                   <ul className="scan-ai-weather-bullets">
                     <li>{localModelSupportNote}</li>
+                    <li>
+                      {report
+                        ? `${isEn ? "Raw METAR" : "原始 METAR"}：${`${airportStation} ${report}`.trim()}`
+                        : isEn
+                          ? "Raw METAR is unavailable."
+                          : "暂无原始 METAR。"}
+                    </li>
                   </ul>
                 </>
               ) : (
                 <p>
                   {isEn
-                    ? "The complete city review is queued in the background."
+                    ? "Waiting for AI to read the latest airport bulletin."
-                    : "完整城市分析正在后台排队。"}
+                    : "等待 AI 解读最新机场报文。"}
                 </p>
               )}
             </section>
@@ -575,12 +551,14 @@ export function AiPinnedForecastView({
   rows,
   detailsByName,
   locale,
+  onRefreshCityDetail,
   onRemoveCity,
 }: {
   items: AiPinnedCity[];
   rows: ScanOpportunityRow[];
   detailsByName: Record<string, CityDetail>;
   locale: string;
+  onRefreshCityDetail: (cityName: string) => Promise<void>;
   onRemoveCity: (cityName: string) => void;
 }) {
   const isEn = locale === "en-US";
@@ -697,6 +675,7 @@ export function AiPinnedForecastView({
               locale={locale}
               collapsed={!isKnownCity || collapsedCities.has(stableKey)}
               removing={removingCities.has(stableKey)}
+              onRefreshCityDetail={onRefreshCityDetail}
               onRemove={() => removeCityWithMotion(item, stableKey)}
               onToggleCollapsed={() => {
                 setCollapsedCities((current) => {

frontend/components/dashboard/scan-terminal/types.ts

@@ -38,21 +38,3 @@ export type AiCityForecastState = {
   streamText?: string | null;
   streamRaw?: string | null;
 };
-
-export type AiMetarSummaryPayload = {
-  status?: string | null;
-  summary?: string | null;
-  reason?: string | null;
-  degraded?: boolean | null;
-  duration_ms?: number | null;
-  model?: string | null;
-  provider?: string | null;
-};
-
-export type AiMetarSummaryState = {
-  status: "idle" | "loading" | "ready" | "failed";
-  payload?: AiMetarSummaryPayload | null;
-  error?: string | null;
-  streamText?: string | null;
-};
-

frontend/components/dashboard/scan-terminal/use-ai-city-card-data.ts

@@ -4,8 +4,6 @@ import { useCallback, useEffect, useMemo, useState } from "react";
 import type {
   AiCityForecastPayload,
   AiCityForecastState,
-  AiMetarSummaryPayload,
-  AiMetarSummaryState,
 } from "@/components/dashboard/scan-terminal/types";
 import { useDashboardStore } from "@/hooks/useDashboardStore";
 import {
@@ -24,10 +22,6 @@ const pendingAiCityForecastRequests = new Map<
   string,
   Promise<AiCityForecastPayload>
 >();
-const pendingMetarSummaryRequests = new Map<
-  string,
-  Promise<AiMetarSummaryPayload>
->();
 
 type AiCityStreamProgress = {
   stage?: string | null;
@@ -45,13 +39,6 @@ type AiCityStreamEvent = {
   event: string;
 };
 
-type AiMetarSummaryProgress = {
-  message_en?: string | null;
-  message_zh?: string | null;
-  content?: string | null;
-  raw_length?: number | null;
-};
-
 function getStorage() {
   if (typeof window === "undefined") return null;
   try {
@@ -283,118 +270,6 @@ function getAiCityStreamProgressText(progress: AiCityStreamProgress, isEn: boole
   return "";
 }
 
-async function readMetarSummaryStream(
-  response: Response,
-  onProgress?: (progress: AiMetarSummaryProgress) => void,
-) {
-  if (!response.body) {
-    return response.json() as Promise<AiMetarSummaryPayload>;
-  }
-
-  const reader = response.body.getReader();
-  const decoder = new TextDecoder();
-  let buffer = "";
-  let accumulated = "";
-  let finalPayload: AiMetarSummaryPayload | null = null;
-
-  const consumeBlock = (block: string) => {
-    const parsed = parseAiCityStreamBlock(block);
-    if (!parsed) return;
-    const { data, event } = parsed;
-    if (event === "final") {
-      finalPayload = data as AiMetarSummaryPayload;
-      return;
-    }
-    if (event === "progress") {
-      onProgress?.(data as AiMetarSummaryProgress);
-      return;
-    }
-    if (event === "delta") {
-      const content = String(data.content || "");
-      if (content) {
-        accumulated += content;
-      }
-      onProgress?.({
-        content: accumulated,
-        raw_length: Number(data.raw_length),
-      });
-    }
-  };
-
-  for (;;) {
-    const { done, value } = await reader.read();
-    buffer += decoder.decode(value || new Uint8Array(), { stream: !done });
-    const blocks = buffer.split(/\r?\n\r?\n/);
-    buffer = blocks.pop() || "";
-    blocks.forEach(consumeBlock);
-    if (done) break;
-  }
-  if (buffer.trim()) {
-    consumeBlock(buffer);
-  }
-  return (
-    finalPayload || {
-      status: accumulated ? "ready" : "failed",
-      summary: accumulated,
-    }
-  );
-}
-
-function requestMetarSummary({
-  airport,
-  city,
-  deb,
-  locale,
-  metar,
-  modelRange,
-  onProgress,
-  requestKey,
-}: {
-  airport: string;
-  city: string;
-  deb: string;
-  locale: string;
-  metar: string;
-  modelRange: string;
-  onProgress?: (progress: AiMetarSummaryProgress) => void;
-  requestKey: string;
-}) {
-  const pending = pendingMetarSummaryRequests.get(requestKey);
-  if (pending) return pending;
-
-  const request = buildBrowserBackendHeaders({
-    Accept: "text/event-stream",
-    "Content-Type": "application/json",
-  })
-    .then((headers) =>
-      fetchBackendApi("/api/ai/metar-summary", {
-        method: "POST",
-        headers,
-        cache: "no-store",
-        body: JSON.stringify({
-          airport,
-          city,
-          deb,
-          locale,
-          metar,
-          model_range: modelRange,
-        }),
-      }),
-    )
-    .then(async (response) => {
-      if (!response.ok) {
-        throw new Error(`HTTP ${response.status}`);
-      }
-      return readMetarSummaryStream(response, onProgress);
-    })
-    .finally(() => {
-      pendingMetarSummaryRequests.delete(requestKey);
-    });
-
-  pendingMetarSummaryRequests.set(requestKey, request);
-  return request;
-}
-
 function buildAiCityFallbackPayload({
   detail,
   error,
@@ -462,113 +337,6 @@ function buildAiCityFallbackPayload({
   };
 }
 
-export function useAiMetarSummary({
-  airport,
-  city,
-  deb,
-  enabled = true,
-  isEn,
-  locale,
-  metar,
-  modelRange,
-}: {
-  airport: string;
-  city: string;
-  deb: string;
-  enabled?: boolean;
-  isEn: boolean;
-  locale: string;
-  metar: string;
-  modelRange: string;
-}) {
-  const [metarSummary, setMetarSummary] = useState<AiMetarSummaryState>({
-    status: "idle",
-  });
-
-  const requestKey = useMemo(
-    () =>
-      metar
-        ? [
-            "metar-summary",
-            normalizeCityKey(city) || city,
-            airport,
-            locale,
-            deb,
-            modelRange,
-            metar,
-          ].join(":")
-        : "",
-    [airport, city, deb, locale, metar, modelRange],
-  );
-
-  useEffect(() => {
-    if (!enabled || !requestKey || !metar) {
-      setMetarSummary({ status: "idle" });
-      return;
-    }
-    let cancelled = false;
-    setMetarSummary({
-      status: "loading",
-      streamText: isEn
-        ? "Reading current METAR with a lightweight AI pass..."
-        : "正在用轻量 AI 快速解读当前 METAR…",
-    });
-    void requestMetarSummary({
-      airport,
-      city,
-      deb,
-      locale,
-      metar,
-      modelRange,
-      onProgress: (progress) => {
-        if (cancelled) return;
-        const text = String(
-          progress.content ||
-            (isEn ? progress.message_en : progress.message_zh) ||
-            "",
-        ).trim();
-        if (!text) return;
-        setMetarSummary((current) => ({
-          ...current,
-          status: "loading",
-          streamText: text,
-        }));
-      },
-      requestKey,
-    })
-      .then((payload) => {
-        if (cancelled) return;
-        const summary = String(payload?.summary || "").trim();
-        if (summary) {
-          setMetarSummary({
-            payload,
-            status: "ready",
-            streamText: summary,
-          });
-        } else {
-          setMetarSummary({
-            payload,
-            status: "failed",
-            error: String(payload?.reason || payload?.status || "empty response"),
-          });
-        }
-      })
-      .catch((error) => {
-        if (!cancelled) {
-          setMetarSummary({
-            status: "failed",
-            error: String(error),
-          });
-        }
-      });
-    return () => {
-      cancelled = true;
-    };
-  }, [airport, city, deb, enabled, isEn, locale, metar, modelRange, requestKey]);
-
-  return { metarSummary };
-}
-
 export function useAiCityForecast({
   detail,
   detailCityName,

web/routes.py

@@ -36,7 +36,6 @@ from web.scan_terminal_service import (
     build_scan_city_ai_forecast_payload,
     build_scan_terminal_ai_payload,
     build_scan_terminal_payload,
-    stream_metar_summary_payload,
     stream_scan_city_ai_forecast_payload,
 )
 from web.core import (
@@ -1811,22 +1810,3 @@ async def scan_terminal_ai_city_stream(request: Request):
             "X-Accel-Buffering": "no",
         },
     )
-
-
-@router.post("/api/ai/metar-summary")
-async def ai_metar_summary_stream(request: Request):
-    _assert_entitlement(request)
-    try:
-        body = await request.json()
-    except Exception:
-        body = {}
-    if not isinstance(body, dict):
-        raise HTTPException(status_code=400, detail="Invalid JSON body")
-    return StreamingResponse(
-        stream_metar_summary_payload(body),
-        media_type="text/event-stream",
-        headers={
-            "Cache-Control": "no-store",
-            "X-Accel-Buffering": "no",
-        },
-    )

web/scan_terminal_service.py

@@ -53,7 +53,7 @@ SCAN_TERMINAL_BUILD_TIMEOUT_SEC = max(
     int(os.getenv("POLYWEATHER_SCAN_TERMINAL_BUILD_TIMEOUT_SEC", "22")),
 )
 SCAN_AI_MODEL = str(
-    os.getenv("POLYWEATHER_SCAN_AI_MODEL") or "deepseek-v4-pro"
+    os.getenv("POLYWEATHER_SCAN_AI_MODEL") or "deepseek-v4-flash"
 ).strip()
 SCAN_CITY_AI_MODEL = str(
     os.getenv("POLYWEATHER_SCAN_CITY_AI_MODEL")
@@ -98,24 +98,6 @@ SCAN_CITY_AI_MAX_TOKENS = _env_int(
     min_value=800,
     max_value=64000,
 )
-METAR_SUMMARY_AI_MODEL = str(
-    os.getenv("POLYWEATHER_METAR_SUMMARY_AI_MODEL")
-    or os.getenv("POLYWEATHER_SCAN_CITY_AI_MODEL")
-    or os.getenv("POLYWEATHER_SCAN_AI_MODEL")
-    or "deepseek-v4-flash"
-).strip()
-METAR_SUMMARY_AI_TIMEOUT_SEC = _env_int(
-    "POLYWEATHER_METAR_SUMMARY_AI_TIMEOUT_SEC",
-    8,
-    min_value=3,
-    max_value=30,
-)
-METAR_SUMMARY_AI_MAX_TOKENS = _env_int(
-    "POLYWEATHER_METAR_SUMMARY_AI_MAX_TOKENS",
-    160,
-    min_value=80,
-    max_value=1000,
-)
 SCAN_CITY_AI_PROMPT_VERSION = "city-airport-read-v3"
 
 CITY_AI_REQUIRED_FIELDS = [
@@ -1779,177 +1761,6 @@ def _build_city_ai_stream_request(
     }
 
 
-def stream_metar_summary_payload(body: Dict[str, Any]) -> Iterator[str]:
-    """Stream a tiny METAR-only AI read.
-
-    This intentionally does not share the full city-review prompt. The goal is
-    first-token speed for the "AI airport read" section, while the heavier city
-    JSON review continues separately.
-    """
-
-    started_at = time.time()
-    normalized_locale = _normalize_locale(str(body.get("locale") or "zh-CN"))
-    city = str(body.get("city") or "").strip()
-    airport = str(body.get("airport") or body.get("station") or "").strip()
-    metar = str(body.get("metar") or "").strip()
-    model_range = str(body.get("model_range") or "").strip()
-    deb = str(body.get("deb") or "").strip()
-
-    if not metar:
-        yield _sse_event(
-            "final",
-            {
-                "status": "failed",
-                "model": METAR_SUMMARY_AI_MODEL,
-                "provider": "deepseek",
-                "summary": "",
-                "reason": "metar is required",
-                "duration_ms": int((time.time() - started_at) * 1000),
-            },
-        )
-        return
-
-    yield _sse_event(
-        "progress",
-        {
-            "stage": "calling_ai",
-            "message_zh": "DeepSeek 正在快速解读当前 METAR…",
-            "message_en": "DeepSeek is quickly reading the current METAR…",
-        },
-    )
-
-    if not SCAN_AI_ENABLED:
-        yield _sse_event(
-            "final",
-            {
-                "status": "disabled",
-                "model": METAR_SUMMARY_AI_MODEL,
-                "provider": "deepseek",
-                "summary": "",
-                "reason": "POLYWEATHER_SCAN_AI_ENABLED is not enabled",
-                "duration_ms": int((time.time() - started_at) * 1000),
-            },
-        )
-        return
-    if not str(os.getenv("POLYWEATHER_DEEPSEEK_API_KEY") or "").strip():
-        yield _sse_event(
-            "final",
-            {
-                "status": "missing_key",
-                "model": METAR_SUMMARY_AI_MODEL,
-                "provider": "deepseek",
-                "summary": "",
-                "reason": "POLYWEATHER_DEEPSEEK_API_KEY is not configured",
-                "duration_ms": int((time.time() - started_at) * 1000),
-            },
-        )
-        return
-
-    is_en = normalized_locale == "en-US"
-    system_prompt = (
-        "You are PolyWeather's fast airport-bulletin module. "
-        "Use only the current METAR, DEB and model range. "
-        "Do not output JSON. Do not repeat the full METAR. Do not predict market prices. "
-        "Keep the answer within 80 Chinese characters or 45 English words."
-        if is_en
-        else "你是 PolyWeather 的机场报文快速解读模块。"
-        "请用中文用1到2句话解读当前 METAR 对今日最高温判断的影响。"
-        "要求：只基于当前 METAR、DEB 和模型区间；不输出 JSON；不要复述完整报文；"
-        "不要预测市场价格；不超过80个中文字。"
-    )
-    user_prompt = (
-        f"City: {city or 'unknown'}\n"
-        f"Airport: {airport or 'unknown'}\n"
-        f"METAR: {metar}\n"
-        f"DEB: {deb or 'unknown'}\n"
-        f"Model range: {model_range or 'unknown'}"
-    )
-    request_json = {
-        "model": METAR_SUMMARY_AI_MODEL,
-        "temperature": 0.15,
-        "max_tokens": METAR_SUMMARY_AI_MAX_TOKENS,
-        "stream": True,
-        "messages": [
-            {"role": "system", "content": system_prompt},
-            {"role": "user", "content": user_prompt},
-        ],
-    }
-    timeout = httpx.Timeout(
-        timeout=float(METAR_SUMMARY_AI_TIMEOUT_SEC),
-        connect=min(5.0, float(METAR_SUMMARY_AI_TIMEOUT_SEC)),
-        read=float(METAR_SUMMARY_AI_TIMEOUT_SEC),
-        write=5.0,
-        pool=3.0,
-    )
-    headers = {
-        "Authorization": f"Bearer {os.getenv('POLYWEATHER_DEEPSEEK_API_KEY')}",
-        "Content-Type": "application/json",
-    }
-    accumulated = ""
-    try:
-        logger.info(
-            "metar summary stream request city={} airport={} model={} timeout_sec={}",
-            city,
-            airport,
-            METAR_SUMMARY_AI_MODEL,
-            METAR_SUMMARY_AI_TIMEOUT_SEC,
-        )
-        with httpx.Client(timeout=timeout) as client:
-            with client.stream(
-                "POST",
-                f"{SCAN_AI_BASE_URL}/chat/completions",
-                headers=headers,
-                json=request_json,
-            ) as response:
-                response.raise_for_status()
-                for line in response.iter_lines():
-                    text = str(line or "").strip()
-                    if not text or not text.startswith("data:"):
-                        continue
-                    payload_text = text[5:].strip()
-                    if payload_text == "[DONE]":
-                        break
-                    try:
-                        chunk = json.loads(payload_text)
-                    except Exception:
-                        continue
-                    delta = _extract_provider_stream_delta(chunk)
-                    if delta:
-                        accumulated += delta
-                        yield _sse_event(
-                            "delta",
-                            {
-                                "content": delta,
-                                "raw_length": len(accumulated),
-                            },
-                        )
-        summary = _truncate_ai_text(accumulated, 260)
-        yield _sse_event(
-            "final",
-            {
-                "status": "ready" if summary else "empty",
-                "model": METAR_SUMMARY_AI_MODEL,
-                "provider": "deepseek",
-                "summary": summary,
-                "duration_ms": int((time.time() - started_at) * 1000),
-            },
-        )
-    except Exception as exc:
-        summary = _truncate_ai_text(accumulated, 260)
-        yield _sse_event(
-            "final",
-            {
-                "status": "ready" if summary else "failed",
-                "degraded": bool(summary),
-                "model": METAR_SUMMARY_AI_MODEL,
-                "provider": "deepseek",
-                "summary": summary,
-                "reason": str(exc),
-                "duration_ms": int((time.time() - started_at) * 1000),
-            },
-        )
-
-
 def _cache_city_ai_payload(
     cache_key: str,
     *,