feat: Introduce dashboard data types, utilities, market alert engine, and panel sections.

frontend/components/dashboard/PanelSections.tsx

@@ -550,7 +550,7 @@ export function ModelForecast({
   hideTitle?: boolean;
   targetDate?: string | null;
 }) {
-  const { t } = useI18n();
+  const { locale, t } = useI18n();
   const view = getModelView(detail, targetDate);
   const modelEntries = Object.entries(view.models).filter(([, value]) =>
     Number.isFinite(Number(value)),
@@ -565,6 +565,14 @@ export function ModelForecast({
     ? Math.max(...comparisonValues) + 1
     : 1;
   const range = Math.max(maxValue - minValue, 1);
+  const getModelDisplayName = (name: string) => {
+    if (String(name).trim().toLowerCase() === "meteoblue") {
+      return locale === "en-US"
+        ? "Meteoblue (Daily Max)"
+        : "Meteoblue (日最高温)";
+    }
+    return name;
+  };
 
   return (
     <section className="models-section">
@@ -587,7 +595,7 @@ export function ModelForecast({
                 return (
                   <div key={name} className="model-row">
                     <div className="model-name" title={name}>
-                      {name}
+                      {getModelDisplayName(name)}
                     </div>
                     <div className="model-bar-track">
                       <div

frontend/lib/dashboard-types.ts

@@ -169,7 +169,10 @@ export interface SourceForecasts {
     forecast_periods?: WeatherGovPeriod[];
   };
   meteoblue?: {
+    today_high?: number | null;
     daily_highs?: Array<number | null>;
+    unit?: string | null;
+    url?: string | null;
   };
 }
 

frontend/lib/dashboard-utils.ts

@@ -330,18 +330,58 @@ export function getProbabilityView(detail: CityDetail, targetDate?: string | nul
 }
 
 export function getModelView(detail: CityDetail, targetDate?: string | null) {
+  const pickMeteoblueForDate = (dateStr: string) => {
+    const meteoblue = detail.source_forecasts?.meteoblue;
+    if (!meteoblue) return null;
+
+    const dates = detail.forecast?.daily?.map((item) => item.date) || [];
+    const index = dates.findIndex((date) => date === dateStr);
+
+    const dailyHighs = Array.isArray(meteoblue.daily_highs)
+      ? meteoblue.daily_highs
+      : [];
+    if (index >= 0) {
+      const byDailyHigh = Number(dailyHighs[index]);
+      if (Number.isFinite(byDailyHigh)) return byDailyHigh;
+    }
+
+    const todayHigh = Number(meteoblue.today_high);
+    if (
+      Number.isFinite(todayHigh) &&
+      (dateStr === detail.local_date || index === 0)
+    ) {
+      return todayHigh;
+    }
+
+    return null;
+  };
+
+  const withMeteoblue = (
+    models: Record<string, number | null>,
+    dateStr: string,
+  ) => {
+    const nextModels = { ...models };
+    if (!Number.isFinite(Number(nextModels.Meteoblue))) {
+      const meteoblueVal = pickMeteoblueForDate(dateStr);
+      if (Number.isFinite(Number(meteoblueVal))) {
+        nextModels.Meteoblue = Number(meteoblueVal);
+      }
+    }
+    return nextModels;
+  };
+
   const date = targetDate || detail.local_date;
   const daily = detail.multi_model_daily?.[date];
   if (daily) {
     return {
       deb: daily.deb?.prediction ?? null,
-      models: daily.models || {},
+      models: withMeteoblue(daily.models || {}, date),
     };
   }
 
   return {
     deb: detail.deb?.prediction ?? null,
-    models: detail.multi_model || {},
+    models: withMeteoblue(detail.multi_model || {}, date),
   };
 }
 

src/analysis/market_alert_engine.py

@@ -5,6 +5,7 @@ Rule-based weather alert engine for short-horizon trading signals.
 from __future__ import annotations
 
 import math
+import re
 from datetime import datetime, timezone
 from typing import Any, Dict, List, Optional
 
@@ -454,13 +455,19 @@ def _bucket_label(bucket: Any) -> Optional[str]:
         or str(bucket.get("range") or "").strip()
     )
     if direct:
-        return direct
+        normalized = re.sub(
+            r"(?<!°)(-?\d+(?:\.\d+)?)\s*C(\+)?",
+            r"\1°C\2",
+            direct,
+            flags=re.IGNORECASE,
+        )
+        return normalized
     value = _sf(bucket.get("value"))
     if value is not None:
-        return f"{round(value)}C"
+        return f"{round(value)}°C"
     temp = _sf(bucket.get("temp"))
     if temp is not None:
-        return f"{round(temp)}C"
+        return f"{round(temp)}°C"
     return None
 
 
@@ -507,6 +514,17 @@ def _extract_market_snapshot(city_weather: Dict[str, Any]) -> Dict[str, Any]:
                     }
                 )
 
+    market_url = None
+    websocket = scan.get("websocket") or {}
+    if isinstance(websocket, dict):
+        market_url = str(websocket.get("market_url") or "").strip() or None
+    if not market_url:
+        primary_market = scan.get("primary_market") or {}
+        if isinstance(primary_market, dict):
+            slug = str(primary_market.get("slug") or "").strip()
+            if slug:
+                market_url = f"https://polymarket.com/market/{slug}"
+
     return {
         "available": True,
         "selected_bucket": _bucket_label(scan.get("temperature_bucket")),
@@ -523,6 +541,7 @@ def _extract_market_snapshot(city_weather: Dict[str, Any]) -> Dict[str, Any]:
         "signal_label": scan.get("signal_label"),
         "confidence": scan.get("confidence"),
         "top_bucket_rows": top_bucket_rows,
+        "market_url": market_url,
     }
 
 
@@ -672,7 +691,7 @@ def _build_telegram_messages(
             label = row.get("label") or "--"
             prob_text = _fmt_percent(row.get("probability"))
             yes_buy_text = _fmt_cents(row.get("yes_buy"))
-            lines_zh.append(f"{label} {prob_text} | 买Yes: {yes_buy_text}")
+            lines_zh.append(f"{label} {prob_text} | Yes: {yes_buy_text}")
     if market_snapshot.get("available") and not market_snapshot.get("top_bucket_rows"):
         market_edge = _sf(market_snapshot.get("edge_percent"))
         market_edge_text = f"{market_edge:+.1f}%" if market_edge is not None else "--"
@@ -690,6 +709,8 @@ def _build_telegram_messages(
                 f"市场最热桶：{market_snapshot.get('top_bucket')} "
                 f"({_fmt_percent(market_snapshot.get('top_bucket_prob'))})"
             )
+    if market_snapshot.get("market_url"):
+        lines_zh.append(f"市场链接：{market_snapshot.get('market_url')}")
     lines_zh.append(f"AI 建议：{advice}")
     lines_zh.append(f"点击查看实时地图：{final_map}")
 
@@ -739,7 +760,7 @@ def _build_telegram_messages(
             label = row.get("label") or "--"
             prob_text = _fmt_percent(row.get("probability"))
             yes_buy_text = _fmt_cents(row.get("yes_buy"))
-            lines_en.append(f"{label} {prob_text} | Buy Yes: {yes_buy_text}")
+            lines_en.append(f"{label} {prob_text} | Yes: {yes_buy_text}")
     if market_snapshot.get("available") and not market_snapshot.get("top_bucket_rows"):
         market_edge = _sf(market_snapshot.get("edge_percent"))
         market_edge_text = f"{market_edge:+.1f}%" if market_edge is not None else "--"
@@ -757,6 +778,8 @@ def _build_telegram_messages(
                 f"Top market bucket: {market_snapshot.get('top_bucket')} "
                 f"({_fmt_percent(market_snapshot.get('top_bucket_prob'))})"
             )
+    if market_snapshot.get("market_url"):
+        lines_en.append(f"Market link: {market_snapshot.get('market_url')}")
     lines_en.append(f"Action: {advice}")
     lines_en.append(f"Map: {final_map}")