feat: Extract weather trend analysis into a new shared module and add initial web application and data collection components.

bot_listener.py

@@ -349,7 +349,7 @@ def start_bot():
             )
             open_meteo = weather_data.get("open-meteo", {})
             metar = weather_data.get("metar", {})
-            mgm = weather_data.get("mgm", {})
+            mgm = weather_data.get("mgm") or {}
 
             # 数值归一化
             def _sf(v):

src/analysis/trend_engine.py

@@ -60,6 +60,7 @@ def analyze_weather_trend(
 
     metar = weather_data.get("metar", {})
     open_meteo = weather_data.get("open-meteo", {})
+    mgm = weather_data.get("mgm") or {}
     mb = weather_data.get("meteoblue", {})
     nws = weather_data.get("nws", {})
 
@@ -83,6 +84,10 @@ def analyze_weather_trend(
     if nws.get("today_high") is not None:
         current_forecasts["NWS"] = _sf(nws.get("today_high"))
     
+    mgm = weather_data.get("mgm", {})
+    if mgm and mgm.get("today_high") is not None:
+        current_forecasts["MGM"] = _sf(mgm.get("today_high"))
+
     mm_forecasts = weather_data.get("multi_model", {}).get("forecasts", {})
     for m_name, m_val in mm_forecasts.items():
         if m_val is not None:

src/data_collection/weather_sources.py

@@ -506,16 +506,24 @@ class WeatherDataCollector:
                     if daily_resp.status_code == 200:
                         forecasts = daily_resp.json()
                         if forecasts and isinstance(forecasts, list):
+                            # Store today extra clearly
                             today = forecasts[0]
                             high_val = today.get("enYuksekGun1")
                             low_val = today.get("enDusukGun1")
                             if high_val is not None:
                                 results["today_high"] = high_val
                                 results["today_low"] = low_val
-                                logger.info(
+                                logger.info(f"📋 MGM 每日预报: 今天的最高温 {high_val}°C")
-                                    f"📋 MGM 每日预报: 最高 {high_val}°C, 最低 {low_val}°C (from {forecast_url})"
+                            
-                                )
+                            # Store all 5 days for multi_model_daily
-                                break
+                            results["daily_forecasts"] = {}
+                            for i, day in enumerate(forecasts[:5]):
+                                d_high = day.get("enYuksekGun1")
+                                if d_high is not None:
+                                    # Calculate date (today + offset)
+                                    target_date = (datetime.now() + timedelta(days=i)).strftime("%Y-%m-%d")
+                                    results["daily_forecasts"][target_date] = d_high
+                            break
                             else:
                                 # 记录所有可用字段，方便调试
                                 available_keys = [
@@ -556,6 +564,20 @@ class WeatherDataCollector:
             except Exception as e:
                 logger.debug(f"MGM hourly failed: {e}")
 
+            # 4. Fallback for today_high (if daily forecast is missing it)
+            if "today_high" not in results:
+                # Try from current max
+                cur_max = results.get("current", {}).get("mgm_max_temp")
+                if cur_max is not None:
+                    results["today_high"] = cur_max
+                    logger.info(f"📋 MGM 每日预报: 使用当前测站最高温作为今日预报回退: {cur_max}°C")
+                elif "hourly" in results and results["hourly"]:
+                    # Try from hourly
+                    h_max = max((h["temp"] for h in results["hourly"] if h["temp"] is not None), default=None)
+                    if h_max is not None:
+                        results["today_high"] = h_max
+                        logger.info(f"📋 MGM 每日预报: 使用小时预报最高温作为今日预报回退: {h_max}°C")
+
             return results if "current" in results else None
         except Exception as e:
             logger.error(f"MGM API 请求失败 ({istno}): {e}")

web/app.py

@@ -105,7 +105,7 @@ def _analyze(city: str, force_refresh: bool = False) -> Dict[str, Any]:
     raw = _weather.fetch_all_sources(city, lat=lat, lon=lon)
     om = raw.get("open-meteo", {})
     metar = raw.get("metar", {})
-    mgm = raw.get("mgm", {})
+    mgm = raw.get("mgm") or {}
     ens_raw = raw.get("ensemble", {})
     mm = raw.get("multi_model", {})
     risk = CITY_RISK_PROFILES.get(city, {})
@@ -412,6 +412,11 @@ def _analyze(city: str, force_refresh: bool = False) -> Dict[str, Any]:
             if i < len(maxtemps) and maxtemps[i] is not None:
                 day_m["Open-Meteo"] = _sf(maxtemps[i])
             
+            # Add MGM per-day forecast
+            mgm_daily = mgm.get("daily_forecasts", {})
+            if d_str in mgm_daily:
+                day_m["MGM"] = _sf(mgm_daily[d_str])
+            
             d_val, d_winfo = None, ""
             if day_m:
                 try: