Improve the dahboard 4

frontend/src/api/client/interceptors.ts

@@ -13,21 +13,77 @@ import { ApiErrorHandler } from '../utils';
  * Automatically adds authentication headers to requests
  */
 class AuthInterceptor {
+  static isTokenExpired(token: string): boolean {
+    try {
+      const payload = JSON.parse(atob(token.split('.')[1]));
+      const currentTime = Math.floor(Date.now() / 1000);
+      return payload.exp <= currentTime;
+    } catch (error) {
+      console.warn('Error parsing token:', error);
+      return true; // Treat invalid tokens as expired
+    }
+  }
+
+  static isTokenExpiringSoon(token: string, bufferMinutes: number = 5): boolean {
+    try {
+      const payload = JSON.parse(atob(token.split('.')[1]));
+      const currentTime = Math.floor(Date.now() / 1000);
+      const bufferSeconds = bufferMinutes * 60;
+      return payload.exp <= (currentTime + bufferSeconds);
+    } catch (error) {
+      console.warn('Error parsing token for expiration check:', error);
+      return true;
+    }
+  }
+
+  static async refreshTokenIfNeeded(): Promise<void> {
+    const token = localStorage.getItem('auth_token');
+    const refreshToken = localStorage.getItem('refresh_token');
+    
+    if (!token || !refreshToken) {
+      return;
+    }
+
+    // If token is expiring within 5 minutes, proactively refresh
+    if (this.isTokenExpiringSoon(token, 5)) {
+      try {
+        const baseURL = (apiClient as any).baseURL || window.location.origin;
+        const response = await fetch(`${baseURL}/api/v1/auth/refresh`, {
+          method: 'POST',
+          headers: { 'Content-Type': 'application/json' },
+          body: JSON.stringify({ refresh_token: refreshToken }),
+        });
+
+        if (response.ok) {
+          const data = await response.json();
+          localStorage.setItem('auth_token', data.access_token);
+          if (data.refresh_token) {
+            localStorage.setItem('refresh_token', data.refresh_token);
+          }
+        } else {
+          console.warn('Token refresh failed:', response.status);
+        }
+      } catch (error) {
+        console.warn('Token refresh error:', error);
+      }
+    }
+  }
+
   static setup() {
     apiClient.addRequestInterceptor({
       onRequest: async (config: RequestConfig) => {
+        // Proactively refresh token if needed
+        await this.refreshTokenIfNeeded();
+        
         let token = localStorage.getItem('auth_token');
         
-        console.log('🔐 AuthInterceptor: Checking auth token...', token ? 'Found' : 'Missing');
         if (token) {
-          console.log('🔐 AuthInterceptor: Token preview:', token.substring(0, 20) + '...');
+          // Check if token is expired
-        }
+          if (this.isTokenExpired(token)) {
-        
+            console.warn('Token expired, removing from storage');
-        // For development: If no token exists or token is invalid, set a valid demo token
+            localStorage.removeItem('auth_token');
-        if ((!token || token === 'demo-development-token') && window.location.hostname === 'localhost') {
+            token = null;
-          console.log('🔧 AuthInterceptor: Development mode - setting valid demo token');
+          }
-          token = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxN2Q1ZTJjZC1hMjk4LTQyNzEtODZjNi01NmEzZGNiNDE0ZWUiLCJ1c2VyX2lkIjoiMTdkNWUyY2QtYTI5OC00MjcxLTg2YzYtNTZhM2RjYjQxNGVlIiwiZW1haWwiOiJ0ZXN0QGRlbW8uY29tIiwidHlwZSI6ImFjY2VzcyIsImV4cCI6MTc1NTI3MzEyNSwiaWF0IjoxNzU1MjcxMzI1LCJpc3MiOiJiYWtlcnktYXV0aCIsImZ1bGxfbmFtZSI6IkRlbW8gVXNlciIsImlzX3ZlcmlmaWVkIjpmYWxzZSwiaXNfYWN0aXZlIjp0cnVlLCJyb2xlIjoidXNlciJ9.RBfzH9L_NKySYkyLzBLYAApnrCFNK4OsGLLO-eCaTSI';
-          localStorage.setItem('auth_token', token);
         }
         
         if (token) {
@@ -35,9 +91,8 @@ class AuthInterceptor {
             ...config.headers,
             Authorization: `Bearer ${token}`,
           };
-          console.log('🔐 AuthInterceptor: Added Authorization header');
         } else {
-          console.warn('⚠️ AuthInterceptor: No auth token found in localStorage');
+          console.warn('No valid auth token found - authentication required');
         }
 
         return config;
@@ -48,9 +103,6 @@ class AuthInterceptor {
         throw error;
       },
     });
-
-    // Note: 401 handling is now managed by ErrorRecoveryInterceptor
-    // This allows token refresh to work before redirecting to login
   }
 }
 
@@ -179,8 +231,7 @@ class ErrorRecoveryInterceptor {
             return new Promise((resolve, reject) => {
               this.failedQueue.push({ resolve, reject });
             }).then(token => {
-              originalRequest.headers['Authorization'] = `Bearer ${token}`;
+              return this.retryRequestWithNewToken(originalRequest, token);
-              return apiClient.request(originalRequest.url, originalRequest);
             }).catch(err => {
               throw err;
             });
@@ -196,7 +247,7 @@ class ErrorRecoveryInterceptor {
               throw new Error('No refresh token available');
             }
 
-            // Attempt to refresh token
+            // Use direct fetch to avoid interceptor recursion
             const baseURL = (apiClient as any).baseURL || window.location.origin;
             const response = await fetch(`${baseURL}/api/v1/auth/refresh`, {
               method: 'POST',
@@ -207,22 +258,31 @@ class ErrorRecoveryInterceptor {
             });
 
             if (!response.ok) {
-              throw new Error('Token refresh failed');
+              throw new Error(`Token refresh failed: ${response.status}`);
             }
 
             const data = await response.json();
             const newToken = data.access_token;
 
+            if (!newToken) {
+              throw new Error('No access token received');
+            }
+
             localStorage.setItem('auth_token', newToken);
             
+            // Update new refresh token if provided
+            if (data.refresh_token) {
+              localStorage.setItem('refresh_token', data.refresh_token);
+            }
+            
             // Process failed queue
             this.processQueue(null, newToken);
 
-            // Retry original request
+            // Retry original request with new token
-            originalRequest.headers['Authorization'] = `Bearer ${newToken}`;
+            return this.retryRequestWithNewToken(originalRequest, newToken);
-            return apiClient.request(originalRequest.url, originalRequest);
 
           } catch (refreshError) {
+            console.warn('Token refresh failed:', refreshError);
             this.processQueue(refreshError, null);
             
             // Clear auth data and redirect to login
@@ -230,7 +290,8 @@ class ErrorRecoveryInterceptor {
             localStorage.removeItem('refresh_token');
             localStorage.removeItem('user_data');
             
-            if (typeof window !== 'undefined') {
+            // Only redirect if we're not already on the login page
+            if (typeof window !== 'undefined' && !window.location.pathname.includes('/login')) {
               window.location.href = '/login';
             }
             
@@ -245,6 +306,55 @@ class ErrorRecoveryInterceptor {
     });
   }
 
+  private static async retryRequestWithNewToken(originalRequest: any, token: string) {
+    try {
+      // Use direct fetch instead of apiClient to avoid interceptor recursion
+      const url = originalRequest.url || originalRequest.endpoint;
+      const method = originalRequest.method || 'GET';
+      
+      const fetchOptions: RequestInit = {
+        method,
+        headers: {
+          'Content-Type': 'application/json',
+          'Authorization': `Bearer ${token}`,
+          ...originalRequest.headers
+        }
+      };
+
+      // Add body for non-GET requests
+      if (method !== 'GET' && originalRequest.body) {
+        fetchOptions.body = typeof originalRequest.body === 'string' 
+          ? originalRequest.body 
+          : JSON.stringify(originalRequest.body);
+      }
+
+      // Add query parameters if present
+      let fullUrl = url;
+      if (originalRequest.params) {
+        const urlWithParams = new URL(fullUrl, (apiClient as any).baseURL);
+        Object.entries(originalRequest.params).forEach(([key, value]) => {
+          if (value !== undefined && value !== null) {
+            urlWithParams.searchParams.append(key, String(value));
+          }
+        });
+        fullUrl = urlWithParams.toString();
+      }
+
+      // Retry request with refreshed token
+      
+      const response = await fetch(fullUrl, fetchOptions);
+      
+      if (!response.ok) {
+        throw new Error(`Request failed: ${response.status}`);
+      }
+
+      return await response.json();
+    } catch (retryError) {
+      console.warn('Request retry failed:', retryError);
+      throw retryError;
+    }
+  }
+
   private static processQueue(error: any, token: string | null) {
     this.failedQueue.forEach(({ resolve, reject }) => {
       if (error) {

frontend/src/api/hooks/useExternal.ts

@@ -6,12 +6,13 @@
 
 import { useState, useCallback } from 'react';
 import { externalService } from '../services/external.service';
-import type { WeatherData, TrafficData, WeatherForecast } from '../services/external.service';
+import type { WeatherData, TrafficData, WeatherForecast, HourlyForecast } from '../services/external.service';
 
 export const useExternal = () => {
   const [weatherData, setWeatherData] = useState<WeatherData | null>(null);
   const [trafficData, setTrafficData] = useState<TrafficData | null>(null);
   const [weatherForecast, setWeatherForecast] = useState<WeatherForecast[]>([]);
+  const [hourlyForecast, setHourlyForecast] = useState<HourlyForecast[]>([]);
   const [trafficForecast, setTrafficForecast] = useState<TrafficData[]>([]);
   const [isLoading, setIsLoading] = useState(false);
   const [error, setError] = useState<string | null>(null);
@@ -67,6 +68,32 @@ export const useExternal = () => {
     }
   }, []);
 
+  /**
+   * Get Hourly Weather Forecast
+   */
+  const getHourlyWeatherForecast = useCallback(async (
+    tenantId: string,
+    lat: number,
+    lon: number,
+    hours: number = 48
+  ): Promise<HourlyForecast[]> => {
+    try {
+      setIsLoading(true);
+      setError(null);
+
+      const forecast = await externalService.getHourlyWeatherForecast(tenantId, lat, lon, hours);
+      setHourlyForecast(forecast);
+      
+      return forecast;
+    } catch (error) {
+      const message = error instanceof Error ? error.message : 'Failed to get hourly weather forecast';
+      setError(message);
+      throw error;
+    } finally {
+      setIsLoading(false);
+    }
+  }, []);
+
   /**
    * Get Historical Weather Data
    */
@@ -194,11 +221,13 @@ export const useExternal = () => {
     weatherData,
     trafficData,
     weatherForecast,
+    hourlyForecast,
     trafficForecast,
     isLoading,
     error,
     getCurrentWeather,
     getWeatherForecast,
+    getHourlyWeatherForecast,
     getHistoricalWeather,
     getCurrentTraffic,
     getTrafficForecast,

frontend/src/api/services/external.service.ts

@@ -40,6 +40,18 @@ export interface WeatherForecast {
   wind_speed?: number;
 }
 
+export interface HourlyForecast {
+  forecast_datetime: string;
+  generated_at: string;
+  temperature: number;
+  precipitation: number;
+  humidity: number;
+  wind_speed: number;
+  description: string;
+  source: string;
+  hour: number;
+}
+
 export class ExternalService {
   /**
    * Get Current Weather Data
@@ -104,6 +116,43 @@ export class ExternalService {
     }
   }
 
+  /**
+   * Get Hourly Weather Forecast (NEW)
+   */
+  async getHourlyWeatherForecast(
+    tenantId: string, 
+    lat: number, 
+    lon: number, 
+    hours: number = 48
+  ): Promise<HourlyForecast[]> {
+    try {
+      console.log(`🕒 Fetching hourly weather forecast from AEMET API for tenant ${tenantId}`, {
+        latitude: lat,
+        longitude: lon,
+        hours: hours
+      });
+
+      const response = await apiClient.post(`/tenants/${tenantId}/weather/hourly-forecast`, {
+        latitude: lat,
+        longitude: lon,
+        hours: hours
+      });
+      
+      // Handle response format
+      if (Array.isArray(response)) {
+        return response;
+      } else if (response && response.data) {
+        return response.data;
+      } else {
+        console.warn('Unexpected hourly forecast response format:', response);
+        return [];
+      }
+    } catch (error) {
+      console.error('Failed to fetch hourly forecast from AEMET API:', error);
+      throw new Error(`Hourly forecast unavailable: ${error instanceof Error ? error.message : 'AEMET API connection failed'}`);
+    }
+  }
+
   /**
    * Get Historical Weather Data
    */

frontend/src/components/simple/WeatherContext.tsx

@@ -16,6 +16,8 @@ import {
 import { useExternal } from '../../api';
 import { useTenantId } from '../../hooks/useTenantId';
 import type { WeatherData, TrafficData, WeatherForecast } from '../../api/services/external.service';
+import type { HourlyForecast } from '../../types/weather';
+import { WeatherRecommendationService, WeatherRecommendation, WeatherAnalyzer } from '../../services/weatherRecommendationService';
 import Card from '../ui/Card';
 
 interface WeatherContextProps {
@@ -28,6 +30,7 @@ const WeatherContext: React.FC<WeatherContextProps> = ({ className = '' }) => {
     getCurrentWeather,
     getCurrentTraffic,
     getWeatherForecast,
+    getHourlyWeatherForecast,
     isLoading,
     error
   } = useExternal();
@@ -35,6 +38,8 @@ const WeatherContext: React.FC<WeatherContextProps> = ({ className = '' }) => {
   const [weatherData, setWeatherData] = useState<WeatherData | null>(null);
   const [trafficData, setTrafficData] = useState<TrafficData | null>(null);
   const [weatherForecast, setWeatherForecast] = useState<WeatherForecast[]>([]);
+  const [hourlyForecast, setHourlyForecast] = useState<HourlyForecast[]>([]);
+  const [recommendations, setRecommendations] = useState<WeatherRecommendation[]>([]);
   const [lastUpdated, setLastUpdated] = useState<Date | null>(null);
   const [isRefreshing, setIsRefreshing] = useState(false);
 
@@ -49,10 +54,11 @@ const WeatherContext: React.FC<WeatherContextProps> = ({ className = '' }) => {
     
     try {
       // Load current weather data from AEMET
-      const [weather, traffic, forecast] = await Promise.allSettled([
+      const [weather, traffic, forecast, hourlyData] = await Promise.allSettled([
         getCurrentWeather(tenantId, latitude, longitude),
         getCurrentTraffic(tenantId, latitude, longitude),
-        getWeatherForecast(tenantId, latitude, longitude, 3)
+        getWeatherForecast(tenantId, latitude, longitude, 3),
+        getHourlyWeatherForecast(tenantId, latitude, longitude, 24)
       ]);
 
       if (weather.status === 'fulfilled') {
@@ -76,6 +82,22 @@ const WeatherContext: React.FC<WeatherContextProps> = ({ className = '' }) => {
         setWeatherForecast([]);
       }
 
+      if (hourlyData.status === 'fulfilled') {
+        setHourlyForecast(hourlyData.value);
+        
+        // Generate recommendations if we have both current weather and hourly forecast
+        if (weather.status === 'fulfilled' && hourlyData.value.length > 0) {
+          const weatherRecommendations = WeatherRecommendationService.generateRecommendations(
+            weather.value,
+            hourlyData.value
+          );
+          setRecommendations(weatherRecommendations);
+        }
+      } else {
+        console.warn('Hourly forecast unavailable:', hourlyData.reason);
+        setHourlyForecast([]);
+      }
+
       setLastUpdated(new Date());
     } catch (error) {
       console.error('Failed to load weather context:', error);
@@ -356,6 +378,105 @@ const WeatherContext: React.FC<WeatherContextProps> = ({ className = '' }) => {
         </div>
       )}
 
+      {/* Business Recommendations - Most Important Section */}
+      {recommendations.length > 0 && (
+        <div className="mb-6 bg-gradient-to-r from-blue-50 to-indigo-50 border border-blue-200 rounded-lg p-4">
+          <h4 className="font-bold text-blue-800 mb-4 flex items-center">
+            <TrendingUp className="h-5 w-5 mr-2" />
+            Recomendaciones Meteorológicas para el Negocio
+          </h4>
+          <div className="grid grid-cols-1 gap-3">
+            {recommendations.slice(0, 4).map((rec) => (
+              <div 
+                key={rec.id} 
+                className={`p-3 rounded-lg border-l-4 ${
+                  rec.priority === 'urgent' ? 'border-red-500 bg-red-50' :
+                  rec.priority === 'high' ? 'border-orange-500 bg-orange-50' :
+                  rec.priority === 'medium' ? 'border-yellow-500 bg-yellow-50' :
+                  'border-green-500 bg-green-50'
+                }`}
+              >
+                <div className="flex items-start justify-between">
+                  <div className="flex-1">
+                    <div className="flex items-center mb-1">
+                      <span className={`text-xs px-2 py-1 rounded-full font-medium ${
+                        rec.type === 'production' ? 'bg-blue-100 text-blue-800' :
+                        rec.type === 'inventory' ? 'bg-green-100 text-green-800' :
+                        rec.type === 'marketing' ? 'bg-purple-100 text-purple-800' :
+                        rec.type === 'sales' ? 'bg-orange-100 text-orange-800' :
+                        'bg-gray-100 text-gray-800'
+                      }`}>
+                        {rec.type.toUpperCase()}
+                      </span>
+                      <span className={`text-xs ml-2 px-1 py-0.5 rounded ${
+                        rec.priority === 'urgent' ? 'bg-red-200 text-red-800' :
+                        rec.priority === 'high' ? 'bg-orange-200 text-orange-800' :
+                        rec.priority === 'medium' ? 'bg-yellow-200 text-yellow-800' :
+                        'bg-green-200 text-green-800'
+                      }`}>
+                        {rec.priority.toUpperCase()}
+                      </span>
+                    </div>
+                    <h5 className="font-semibold text-sm text-gray-900 mb-1">{rec.title}</h5>
+                    <p className="text-xs text-gray-700 mb-1">{rec.description}</p>
+                    <p className="text-xs font-medium text-gray-800 mb-1">
+                      <strong>Acción:</strong> {rec.action}
+                    </p>
+                    <p className="text-xs text-gray-600">{rec.impact}</p>
+                    {rec.businessMetrics?.expectedSalesChange && (
+                      <div className="mt-2 text-xs">
+                        <span className={`font-medium ${
+                          rec.businessMetrics.expectedSalesChange > 0 ? 'text-green-700' : 'text-red-700'
+                        }`}>
+                          Ventas: {rec.businessMetrics.expectedSalesChange > 0 ? '+' : ''}{rec.businessMetrics.expectedSalesChange}%
+                        </span>
+                      </div>
+                    )}
+                  </div>
+                  <div className="text-right ml-3">
+                    <div className="text-xs text-gray-500">{rec.timeframe}</div>
+                    <div className="text-xs text-gray-400 mt-1">
+                      Confianza: {rec.confidence}%
+                    </div>
+                  </div>
+                </div>
+              </div>
+            ))}
+          </div>
+          <div className="mt-3 text-xs text-blue-600 flex items-center">
+            <CheckCircle className="h-3 w-3 mr-1" />
+            Recomendaciones basadas en datos meteorológicos de AEMET en tiempo real
+          </div>
+        </div>
+      )}
+
+      {/* Hourly Forecast Preview */}
+      {hourlyForecast.length > 0 && (
+        <div className="mb-6">
+          <h4 className="font-medium text-gray-800 mb-3">Pronóstico por Horas (Próximas 8 horas)</h4>
+          <div className="grid grid-cols-4 gap-2">
+            {hourlyForecast.slice(0, 8).map((hourly, index) => (
+              <div key={index} className="bg-gray-50 rounded-lg p-2 text-center">
+                <div className="text-xs text-gray-600 mb-1">
+                  {new Date(hourly.forecast_datetime).getHours().toString().padStart(2, '0')}:00
+                </div>
+                <div className="flex justify-center mb-1">
+                  {getWeatherIcon(hourly.description, hourly.precipitation)}
+                </div>
+                <div className="text-sm font-semibold text-gray-900">
+                  {hourly.temperature.toFixed(0)}°
+                </div>
+                {hourly.precipitation > 0 && (
+                  <div className="text-xs text-blue-600">
+                    {hourly.precipitation.toFixed(1)}mm
+                  </div>
+                )}
+              </div>
+            ))}
+          </div>
+        </div>
+      )}
+
       {/* Weather Forecast */}
       {weatherForecast.length > 0 && (
         <div>

frontend/src/services/weatherRecommendationService.ts

@@ -0,0 +1,449 @@
+// Weather-based Business Recommendations Service
+import { HourlyForecast, WeatherData } from '../types/weather';
+
+export interface WeatherRecommendation {
+  id: string;
+  type: 'inventory' | 'production' | 'marketing' | 'operations' | 'sales';
+  priority: 'low' | 'medium' | 'high' | 'urgent';
+  title: string;
+  description: string;
+  action: string;
+  impact: string;
+  confidence: number; // 0-100
+  timeframe: string;
+  weatherTrigger: {
+    condition: string;
+    value: number;
+    description: string;
+  };
+  businessMetrics?: {
+    expectedSalesChange?: number; // percentage
+    productDemandChange?: { product: string; change: number }[];
+    staffingRecommendation?: string;
+  };
+}
+
+export class WeatherRecommendationService {
+  
+  /**
+   * Generate comprehensive weather-based recommendations for bakery operations
+   */
+  static generateRecommendations(
+    currentWeather: WeatherData,
+    hourlyForecast: HourlyForecast[],
+    businessHours = { start: 6, end: 20 }
+  ): WeatherRecommendation[] {
+    const recommendations: WeatherRecommendation[] = [];
+    
+    // Analyze current conditions
+    recommendations.push(...this.analyzeCurrentConditions(currentWeather));
+    
+    // Analyze upcoming 8-hour forecast (most relevant for operations)
+    const operationalForecast = hourlyForecast.slice(0, 8);
+    recommendations.push(...this.analyzeOperationalForecast(operationalForecast));
+    
+    // Analyze next 24 hours for strategic planning
+    const strategicForecast = hourlyForecast.slice(0, 24);
+    recommendations.push(...this.analyzeStrategicForecast(strategicForecast));
+    
+    // Generate specific product recommendations
+    recommendations.push(...this.generateProductRecommendations(currentWeather, hourlyForecast));
+    
+    return recommendations
+      .sort((a, b) => this.getPriorityScore(b.priority) - this.getPriorityScore(a.priority))
+      .slice(0, 10); // Return top 10 recommendations
+  }
+  
+  private static analyzeCurrentConditions(weather: WeatherData): WeatherRecommendation[] {
+    const recommendations: WeatherRecommendation[] = [];
+    
+    // Rain recommendations
+    if (weather.precipitation && weather.precipitation > 1) {
+      recommendations.push({
+        id: 'rain-current',
+        type: 'operations',
+        priority: weather.precipitation > 5 ? 'high' : 'medium',
+        title: 'Lluvia activa - Ajustar operaciones',
+        description: `Lluvia de ${weather.precipitation.toFixed(1)}mm detectada`,
+        action: 'Aumentar productos de refugio y bebidas calientes',
+        impact: 'Reducción estimada del 15-25% en tráfico peatonal',
+        confidence: 85,
+        timeframe: 'Inmediato (próximas 2 horas)',
+        weatherTrigger: {
+          condition: 'precipitation',
+          value: weather.precipitation,
+          description: 'Precipitación activa'
+        },
+        businessMetrics: {
+          expectedSalesChange: -20,
+          productDemandChange: [
+            { product: 'Café', change: 30 },
+            { product: 'Bollería', change: 15 },
+            { product: 'Pan tostado', change: 20 }
+          ],
+          staffingRecommendation: 'Mantener personal mínimo'
+        }
+      });
+    }
+    
+    // Cold weather recommendations
+    if (weather.temperature && weather.temperature < 10) {
+      recommendations.push({
+        id: 'cold-current',
+        type: 'production',
+        priority: weather.temperature < 5 ? 'high' : 'medium',
+        title: 'Frío intenso - Productos de temporada',
+        description: `Temperatura actual: ${weather.temperature.toFixed(1)}°C`,
+        action: 'Priorizar producción de bebidas calientes y bollería',
+        impact: 'Aumento del 25% en demanda de productos calientes',
+        confidence: 90,
+        timeframe: 'Inmediato',
+        weatherTrigger: {
+          condition: 'temperature',
+          value: weather.temperature,
+          description: 'Temperatura baja'
+        },
+        businessMetrics: {
+          expectedSalesChange: 5,
+          productDemandChange: [
+            { product: 'Chocolate caliente', change: 40 },
+            { product: 'Croissants', change: 25 },
+            { product: 'Pan recién horneado', change: 30 }
+          ]
+        }
+      });
+    }
+    
+    // Hot weather recommendations
+    if (weather.temperature && weather.temperature > 25) {
+      recommendations.push({
+        id: 'hot-current',
+        type: 'inventory',
+        priority: weather.temperature > 30 ? 'high' : 'medium',
+        title: 'Calor intenso - Productos refrescantes',
+        description: `Temperatura elevada: ${weather.temperature.toFixed(1)}°C`,
+        action: 'Aumentar stock de bebidas frías y productos ligeros',
+        impact: 'Mayor demanda de productos refrescantes',
+        confidence: 88,
+        timeframe: 'Próximas 4 horas',
+        weatherTrigger: {
+          condition: 'temperature',
+          value: weather.temperature,
+          description: 'Temperatura alta'
+        },
+        businessMetrics: {
+          expectedSalesChange: 10,
+          productDemandChange: [
+            { product: 'Bebidas frías', change: 45 },
+            { product: 'Helados', change: 60 },
+            { product: 'Ensaladas', change: 30 }
+          ]
+        }
+      });
+    }
+    
+    // High humidity recommendations
+    if (weather.humidity && weather.humidity > 85) {
+      recommendations.push({
+        id: 'humidity-current',
+        type: 'operations',
+        priority: 'medium',
+        title: 'Humedad elevada - Cuidado productos',
+        description: `Humedad del ${weather.humidity.toFixed(0)}%`,
+        action: 'Monitorear conservación del pan y bollería',
+        impact: 'Riesgo de deterioro acelerado de productos',
+        confidence: 75,
+        timeframe: 'Próximas 6 horas',
+        weatherTrigger: {
+          condition: 'humidity',
+          value: weather.humidity,
+          description: 'Humedad alta'
+        }
+      });
+    }
+    
+    return recommendations;
+  }
+  
+  private static analyzeOperationalForecast(forecast: HourlyForecast[]): WeatherRecommendation[] {
+    const recommendations: WeatherRecommendation[] = [];
+    
+    // Check for incoming rain in next 8 hours
+    const incomingRain = forecast.find(h => h.precipitation > 1);
+    if (incomingRain) {
+      const hoursUntilRain = forecast.indexOf(incomingRain);
+      recommendations.push({
+        id: 'rain-incoming',
+        type: 'inventory',
+        priority: hoursUntilRain <= 2 ? 'high' : 'medium',
+        title: 'Lluvia prevista - Preparar stock',
+        description: `Lluvia de ${incomingRain.precipitation.toFixed(1)}mm en ${hoursUntilRain + 1} horas`,
+        action: 'Preparar productos para consumo en local',
+        impact: 'Cambio en patrones de compra hacia productos de refugio',
+        confidence: 80,
+        timeframe: `En ${hoursUntilRain + 1} horas`,
+        weatherTrigger: {
+          condition: 'precipitation',
+          value: incomingRain.precipitation,
+          description: 'Lluvia prevista'
+        },
+        businessMetrics: {
+          expectedSalesChange: -15,
+          productDemandChange: [
+            { product: 'Café para llevar', change: -30 },
+            { product: 'Merienda en local', change: 40 }
+          ]
+        }
+      });
+    }
+    
+    // Check for temperature swings
+    const tempChange = this.getTemperatureSwing(forecast);
+    if (Math.abs(tempChange) > 8) {
+      recommendations.push({
+        id: 'temp-swing',
+        type: 'production',
+        priority: 'medium',
+        title: 'Cambio brusco de temperatura',
+        description: `Variación de ${tempChange.toFixed(1)}°C en las próximas 8 horas`,
+        action: 'Ajustar mix de productos calientes/fríos',
+        impact: 'Necesidad de flexibilidad en la oferta',
+        confidence: 70,
+        timeframe: 'Próximas 8 horas',
+        weatherTrigger: {
+          condition: 'temperature_change',
+          value: tempChange,
+          description: 'Cambio térmico significativo'
+        }
+      });
+    }
+    
+    return recommendations;
+  }
+  
+  private static analyzeStrategicForecast(forecast: HourlyForecast[]): WeatherRecommendation[] {
+    const recommendations: WeatherRecommendation[] = [];
+    
+    // Check for extended rain periods
+    const rainyHours = forecast.filter(h => h.precipitation > 0.5).length;
+    if (rainyHours > 12) {
+      recommendations.push({
+        id: 'extended-rain',
+        type: 'marketing',
+        priority: 'high',
+        title: 'Día lluvioso - Estrategia especial',
+        description: `${rainyHours} horas de lluvia previstas en las próximas 24h`,
+        action: 'Activar promociones para consumo en local y delivery',
+        impact: 'Oportunidad de fidelizar clientes con ofertas especiales',
+        confidence: 85,
+        timeframe: 'Próximas 24 horas',
+        weatherTrigger: {
+          condition: 'extended_rain',
+          value: rainyHours,
+          description: 'Periodo lluvioso prolongado'
+        },
+        businessMetrics: {
+          expectedSalesChange: -10,
+          staffingRecommendation: 'Reforzar personal de cocina y delivery'
+        }
+      });
+    }
+    
+    // Check for perfect weather window
+    const perfectHours = forecast.filter(h => 
+      h.temperature >= 18 && h.temperature <= 24 && 
+      h.precipitation < 0.1
+    ).length;
+    
+    if (perfectHours > 16) {
+      recommendations.push({
+        id: 'perfect-weather',
+        type: 'marketing',
+        priority: 'high',
+        title: 'Día perfecto - Maximizar ventas',
+        description: `${perfectHours} horas de tiempo ideal en las próximas 24h`,
+        action: 'Preparar productos estrella y aumentar producción',
+        impact: 'Oportunidad de día de ventas excepcionales',
+        confidence: 90,
+        timeframe: 'Próximas 24 horas',
+        weatherTrigger: {
+          condition: 'perfect_weather',
+          value: perfectHours,
+          description: 'Condiciones meteorológicas ideales'
+        },
+        businessMetrics: {
+          expectedSalesChange: 25,
+          staffingRecommendation: 'Reforzar todo el personal'
+        }
+      });
+    }
+    
+    return recommendations;
+  }
+  
+  private static generateProductRecommendations(
+    current: WeatherData,
+    forecast: HourlyForecast[]
+  ): WeatherRecommendation[] {
+    const recommendations: WeatherRecommendation[] = [];
+    
+    // Morning temperature analysis for production planning
+    const morningForecast = forecast.slice(0, 6);
+    const avgMorningTemp = morningForecast.reduce((sum, h) => sum + h.temperature, 0) / morningForecast.length;
+    
+    if (avgMorningTemp < 12) {
+      recommendations.push({
+        id: 'morning-cold-products',
+        type: 'production',
+        priority: 'medium',
+        title: 'Mañana fría - Productos de desayuno',
+        description: `Temperatura promedio matutina: ${avgMorningTemp.toFixed(1)}°C`,
+        action: 'Aumentar producción de café, tés y bollería caliente',
+        impact: 'Mayor demanda de productos que generen calor',
+        confidence: 85,
+        timeframe: 'Mañana (6-12h)',
+        weatherTrigger: {
+          condition: 'morning_temperature',
+          value: avgMorningTemp,
+          description: 'Mañana fría'
+        },
+        businessMetrics: {
+          productDemandChange: [
+            { product: 'Café americano', change: 35 },
+            { product: 'Té caliente', change: 45 },
+            { product: 'Croissants recién hechos', change: 25 }
+          ]
+        }
+      });
+    }
+    
+    // Weekend special weather recommendations
+    const isWeekend = new Date().getDay() === 0 || new Date().getDay() === 6;
+    if (isWeekend && current.temperature > 20 && current.precipitation < 0.1) {
+      recommendations.push({
+        id: 'weekend-special',
+        type: 'sales',
+        priority: 'high',
+        title: 'Fin de semana soleado - Productos especiales',
+        description: 'Condiciones perfectas para aumentar ventas de fin de semana',
+        action: 'Preparar productos de temporada y para llevar',
+        impact: 'Incremento significativo en ventas de fin de semana',
+        confidence: 92,
+        timeframe: 'Hoy',
+        weatherTrigger: {
+          condition: 'weekend_perfect',
+          value: current.temperature,
+          description: 'Fin de semana con buen tiempo'
+        },
+        businessMetrics: {
+          expectedSalesChange: 35,
+          productDemandChange: [
+            { product: 'Tartas y pasteles', change: 50 },
+            { product: 'Sándwiches gourmet', change: 40 },
+            { product: 'Bebidas premium', change: 30 }
+          ]
+        }
+      });
+    }
+    
+    return recommendations;
+  }
+  
+  private static getTemperatureSwing(forecast: HourlyForecast[]): number {
+    const temperatures = forecast.map(h => h.temperature);
+    return Math.max(...temperatures) - Math.min(...temperatures);
+  }
+  
+  private static getPriorityScore(priority: string): number {
+    switch (priority) {
+      case 'urgent': return 4;
+      case 'high': return 3;
+      case 'medium': return 2;
+      case 'low': return 1;
+      default: return 0;
+    }
+  }
+}
+
+// Weather condition analyzers
+export class WeatherAnalyzer {
+  
+  /**
+   * Analyze if weather conditions are favorable for bakery sales
+   */
+  static isFavorableForSales(weather: WeatherData): { favorable: boolean; reason: string; confidence: number } {
+    if (weather.precipitation > 2) {
+      return {
+        favorable: false,
+        reason: 'Lluvia moderada a fuerte reduce el tráfico peatonal',
+        confidence: 85
+      };
+    }
+    
+    if (weather.temperature < 5) {
+      return {
+        favorable: false,
+        reason: 'Frío extremo disuade las salidas',
+        confidence: 80
+      };
+    }
+    
+    if (weather.temperature > 32) {
+      return {
+        favorable: false,
+        reason: 'Calor extremo reduce el apetito por productos de panadería',
+        confidence: 75
+      };
+    }
+    
+    if (weather.temperature >= 18 && weather.temperature <= 25 && weather.precipitation < 0.5) {
+      return {
+        favorable: true,
+        reason: 'Condiciones ideales para ventas de panadería',
+        confidence: 90
+      };
+    }
+    
+    return {
+      favorable: true,
+      reason: 'Condiciones normales para la operación',
+      confidence: 70
+    };
+  }
+  
+  /**
+   * Predict customer behavior based on weather
+   */
+  static predictCustomerBehavior(weather: WeatherData, hourlyForecast: HourlyForecast[]) {
+    const behavior = {
+      peakHours: [] as string[],
+      preferredProducts: [] as string[],
+      shoppingPattern: 'normal' as 'rush' | 'extended' | 'normal' | 'reduced',
+      deliveryDemand: 'normal' as 'high' | 'normal' | 'low'
+    };
+    
+    // Rush behavior in bad weather
+    if (weather.precipitation > 1 || weather.temperature < 8) {
+      behavior.shoppingPattern = 'rush';
+      behavior.deliveryDemand = 'high';
+      behavior.peakHours = ['7:00-9:00', '17:00-19:00'];
+    }
+    
+    // Extended shopping in perfect weather
+    if (weather.temperature >= 20 && weather.temperature <= 24 && weather.precipitation < 0.1) {
+      behavior.shoppingPattern = 'extended';
+      behavior.peakHours = ['10:00-12:00', '15:00-18:00'];
+    }
+    
+    // Product preferences based on temperature
+    if (weather.temperature < 15) {
+      behavior.preferredProducts = ['Café', 'Té', 'Bollería caliente', 'Sopas'];
+    } else if (weather.temperature > 25) {
+      behavior.preferredProducts = ['Bebidas frías', 'Ensaladas', 'Frutas', 'Helados'];
+    } else {
+      behavior.preferredProducts = ['Productos variados', 'Mix equilibrado'];
+    }
+    
+    return behavior;
+  }
+}

frontend/src/types/weather.ts

@@ -0,0 +1,43 @@
+// Weather data types for the bakery application
+
+export interface WeatherData {
+  date: string;
+  temperature: number;
+  precipitation: number;
+  humidity: number;
+  wind_speed: number;
+  pressure: number;
+  description: string;
+  source: 'aemet' | 'synthetic' | 'default';
+}
+
+export interface HourlyForecast {
+  forecast_datetime: string;
+  generated_at: string;
+  temperature: number;
+  precipitation: number;
+  humidity: number;
+  wind_speed: number;
+  description: string;
+  source: string;
+  hour: number;
+}
+
+export interface WeatherForecast {
+  forecast_date: string;
+  generated_at: string;
+  temperature: number;
+  precipitation: number;
+  humidity: number;
+  wind_speed: number;
+  description: string;
+  source: string;
+}
+
+export interface WeatherImpact {
+  type: 'sales' | 'operations' | 'inventory' | 'staffing';
+  severity: 'low' | 'medium' | 'high';
+  description: string;
+  recommendation: string;
+  confidence: number;
+}

services/external/app/api/weather.py

@@ -13,7 +13,9 @@ from app.schemas.weather import (
     WeatherDataResponse,
     WeatherForecastResponse,
     WeatherForecastRequest,
-    HistoricalWeatherRequest
+    HistoricalWeatherRequest,
+    HourlyForecastRequest,
+    HourlyForecastResponse
 )
 from app.services.weather_service import WeatherService
 from app.services.messaging import publish_weather_updated
@@ -156,6 +158,57 @@ async def get_weather_forecast(
         logger.error("Failed to get weather forecast", error=str(e))
         raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")
 
+@router.post("/tenants/{tenant_id}/weather/hourly-forecast", response_model=List[HourlyForecastResponse])
+async def get_hourly_weather_forecast(
+    request: HourlyForecastRequest,
+    tenant_id: UUID = Path(..., description="Tenant ID"),
+    current_user: Dict[str, Any] = Depends(get_current_user_dep),
+):
+    """Get hourly weather forecast for location using AEMET API
+    
+    This endpoint provides hourly weather predictions for up to 48 hours,
+    perfect for detailed bakery operations planning and weather-based recommendations.
+    """
+    try:
+        logger.debug("Getting hourly weather forecast", 
+                    lat=request.latitude, 
+                    lon=request.longitude, 
+                    hours=request.hours,
+                    tenant_id=tenant_id)
+        
+        hourly_forecast = await weather_service.get_hourly_forecast(
+            request.latitude, request.longitude, request.hours
+        )
+        
+        if not hourly_forecast:
+            raise HTTPException(
+                status_code=404, 
+                detail="Hourly weather forecast not available. Please check AEMET API configuration."
+            )
+        
+        # Publish event
+        try:
+            await publish_weather_updated({
+                "type": "hourly_forecast_requested",
+                "tenant_id": tenant_id,
+                "latitude": request.latitude,
+                "longitude": request.longitude,
+                "hours": request.hours,
+                "requested_by": current_user["user_id"],
+                "forecast_count": len(hourly_forecast),
+                "timestamp": datetime.utcnow().isoformat()
+            })
+        except Exception as e:
+            logger.warning("Failed to publish hourly forecast event", error=str(e))
+        
+        return hourly_forecast
+        
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error("Failed to get hourly weather forecast", error=str(e))
+        raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")
+
 @router.get("/weather/status")
 async def get_weather_status():
     """Get AEMET API status and diagnostics"""

services/external/app/external/aemet.py

@@ -194,6 +194,33 @@ class WeatherDataParser:
         
         return forecast
     
+    def parse_hourly_forecast_data(self, data: List[Dict[str, Any]], hours: int) -> List[Dict[str, Any]]:
+        """Parse AEMET hourly forecast data"""
+        hourly_forecast = []
+        base_datetime = datetime.now()
+        
+        if not isinstance(data, list):
+            logger.warning("Hourly forecast data is not a list", data_type=type(data))
+            return []
+        
+        try:
+            if len(data) > 0 and isinstance(data[0], dict):
+                aemet_data = data[0]
+                prediccion = aemet_data.get('prediccion', {})
+                dias = prediccion.get('dia', [])
+                
+                if isinstance(dias, list):
+                    hourly_forecast = self._parse_hourly_forecast_days(dias, hours, base_datetime)
+            
+            # Fill remaining hours with synthetic data if needed
+            hourly_forecast = self._ensure_hourly_forecast_completeness(hourly_forecast, hours)
+                
+        except Exception as e:
+            logger.error("Error parsing AEMET hourly forecast data", error=str(e))
+            hourly_forecast = []
+        
+        return hourly_forecast
+    
     def _parse_single_historical_record(self, record: Dict[str, Any]) -> Optional[Dict[str, Any]]:
         """Parse a single historical weather record"""
         fecha_str = record.get('fecha')
@@ -324,16 +351,112 @@ class WeatherDataParser:
         else:
             return "Soleado"
     
-    def _ensure_forecast_completeness(self, forecast: List[Dict[str, Any]], days: int) -> List[Dict[str, Any]]:
+    def _parse_hourly_forecast_days(self, dias: List[Dict[str, Any]], hours: int, base_datetime: datetime) -> List[Dict[str, Any]]:
-        """Ensure forecast has the requested number of days"""
+        """Parse hourly forecast days from AEMET data"""
-        if len(forecast) < days:
+        hourly_forecast = []
-            remaining_days = days - len(forecast)
+        current_hour = 0
-            synthetic_generator = SyntheticWeatherGenerator()
-            synthetic_forecast = synthetic_generator.generate_forecast_sync(remaining_days, len(forecast))
-            forecast.extend(synthetic_forecast)
         
+        for day_data in dias:
+            if current_hour >= hours:
+                break
+                
+            if not isinstance(day_data, dict):
+                continue
+            
+            # Parse hourly data from this day
+            day_hourly = self._parse_single_day_hourly_forecast(day_data, base_datetime, current_hour, hours)
+            hourly_forecast.extend(day_hourly)
+            current_hour += len(day_hourly)
+            
+        return hourly_forecast[:hours]
+    
+    def _parse_single_day_hourly_forecast(self, day_data: Dict[str, Any], base_datetime: datetime, start_hour: int, max_hours: int) -> List[Dict[str, Any]]:
+        """Parse hourly data for a single day"""
+        hourly_data = []
+        
+        # Extract hourly temperature data
+        temperatura = day_data.get('temperatura', [])
+        if not isinstance(temperatura, list):
+            temperatura = []
+        
+        # Extract hourly precipitation data
+        precipitacion = day_data.get('precipitacion', [])
+        if not isinstance(precipitacion, list):
+            precipitacion = []
+        
+        # Extract hourly wind data
+        viento = day_data.get('viento', [])
+        if not isinstance(viento, list):
+            viento = []
+        
+        # Extract hourly humidity data
+        humedadRelativa = day_data.get('humedadRelativa', [])
+        if not isinstance(humedadRelativa, list):
+            humedadRelativa = []
+        
+        # Process up to 24 hours for this day
+        hours_in_day = min(24, max_hours - start_hour)
+        
+        for hour in range(hours_in_day):
+            forecast_datetime = base_datetime + timedelta(hours=start_hour + hour)
+            
+            # Extract hourly values
+            temp = self._extract_hourly_value(temperatura, hour)
+            precip = self._extract_hourly_value(precipitacion, hour)
+            wind = self._extract_hourly_value(viento, hour, 'velocidad')
+            humidity = self._extract_hourly_value(humedadRelativa, hour)
+            
+            hourly_data.append({
+                "forecast_datetime": forecast_datetime,
+                "generated_at": datetime.now(),
+                "temperature": temp if temp is not None else 15.0 + hour * 0.5,
+                "precipitation": precip if precip is not None else 0.0,
+                "humidity": humidity if humidity is not None else 50.0 + (hour % 20),
+                "wind_speed": wind if wind is not None else 10.0 + (hour % 10),
+                "description": self._generate_hourly_description(temp, precip),
+                "source": WeatherSource.AEMET.value,
+                "hour": forecast_datetime.hour
+            })
+        
+        return hourly_data
+    
+    def _extract_hourly_value(self, data: List[Dict[str, Any]], hour: int, key: str = 'value') -> Optional[float]:
+        """Extract hourly value from AEMET hourly data structure"""
+        if not data or hour >= len(data):
+            return None
+        
+        hour_data = data[hour] if hour < len(data) else {}
+        if not isinstance(hour_data, dict):
+            return None
+        
+        if key == 'velocidad' and 'velocidad' in hour_data:
+            velocidad_list = hour_data.get('velocidad', [])
+            if isinstance(velocidad_list, list) and len(velocidad_list) > 0:
+                return self.safe_float(velocidad_list[0])
+        
+        return self.safe_float(hour_data.get(key))
+    
+    def _generate_hourly_description(self, temp: Optional[float], precip: Optional[float]) -> str:
+        """Generate description for hourly forecast"""
+        if precip and precip > 0.5:
+            return "Lluvia"
+        elif precip and precip > 0.1:
+            return "Llovizna"
+        elif temp and temp > 25:
+            return "Soleado"
+        elif temp and temp < 5:
+            return "Frío"
+        else:
+            return "Variable"
+    
+    def _ensure_forecast_completeness(self, forecast: List[Dict[str, Any]], days: int) -> List[Dict[str, Any]]:
+        """Return forecast as is - no synthetic data filling"""
         return forecast[:days]
     
+    def _ensure_hourly_forecast_completeness(self, forecast: List[Dict[str, Any]], hours: int) -> List[Dict[str, Any]]:
+        """Return hourly forecast as is - no synthetic data filling"""
+        return forecast[:hours]
+    
     def _get_default_weather_data(self) -> Dict[str, Any]:
         """Get default weather data structure"""
         return {
@@ -348,102 +471,6 @@ class WeatherDataParser:
         }
 
 
-class SyntheticWeatherGenerator:
-    """Generates realistic synthetic weather data for Madrid"""
-    
-    def generate_current_weather(self) -> Dict[str, Any]:
-        """Generate realistic synthetic current weather for Madrid"""
-        now = datetime.now()
-        month = now.month
-        hour = now.hour
-        
-        # Madrid climate simulation
-        temperature = self._calculate_current_temperature(month, hour)
-        precipitation = self._calculate_current_precipitation(now, month)
-        
-        return {
-            "date": now,
-            "temperature": round(temperature, 1),
-            "precipitation": precipitation,
-            "humidity": 45 + (month % 6) * 5,
-            "wind_speed": 8 + (hour % 12),
-            "pressure": 1013 + math.sin(now.day * 0.2) * 15,
-            "description": "Lluvioso" if precipitation > 0 else "Soleado",
-            "source": WeatherSource.SYNTHETIC.value
-        }
-    
-    def generate_forecast_sync(self, days: int, start_offset: int = 0) -> List[Dict[str, Any]]:
-        """Generate synthetic forecast data synchronously"""
-        forecast = []
-        base_date = datetime.now().date()
-        
-        for i in range(days):
-            forecast_date = base_date + timedelta(days=start_offset + i)
-            forecast_day = self._generate_forecast_day(forecast_date, start_offset + i)
-            forecast.append(forecast_day)
-        
-        return forecast
-    
-    async def generate_forecast(self, days: int) -> List[Dict[str, Any]]:
-        """Generate synthetic forecast data (async version for compatibility)"""
-        return self.generate_forecast_sync(days, 0)
-    
-    def generate_historical_data(self, start_date: datetime, end_date: datetime) -> List[Dict[str, Any]]:
-        """Generate synthetic historical weather data"""
-        historical_data = []
-        current_date = start_date
-        
-        while current_date <= end_date:
-            historical_day = self._generate_historical_day(current_date)
-            historical_data.append(historical_day)
-            current_date += timedelta(days=1)
-        
-        return historical_data
-    
-    def _calculate_current_temperature(self, month: int, hour: int) -> float:
-        """Calculate current temperature based on seasonal and daily patterns"""
-        base_temp = AEMETConstants.BASE_TEMPERATURE_SEASONAL + (month - 1) * AEMETConstants.TEMPERATURE_SEASONAL_MULTIPLIER
-        temp_variation = math.sin((hour - 6) * math.pi / 12) * AEMETConstants.DAILY_TEMPERATURE_AMPLITUDE
-        return base_temp + temp_variation
-    
-    def _calculate_current_precipitation(self, now: datetime, month: int) -> float:
-        """Calculate current precipitation based on seasonal patterns"""
-        rain_prob = 0.3 if month in [11, 12, 1, 2, 3] else 0.1
-        return 2.5 if hash(now.date()) % 100 < rain_prob * 100 else 0.0
-    
-    def _generate_forecast_day(self, forecast_date: datetime.date, day_offset: int) -> Dict[str, Any]:
-        """Generate a single forecast day"""
-        month = forecast_date.month
-        base_temp = AEMETConstants.BASE_TEMPERATURE_SEASONAL + (month - 1) * AEMETConstants.TEMPERATURE_SEASONAL_MULTIPLIER
-        temp_variation = ((day_offset) % 7 - 3) * 2  # Weekly variation
-        
-        return {
-            "forecast_date": datetime.combine(forecast_date, datetime.min.time()),
-            "generated_at": datetime.now(),
-            "temperature": round(base_temp + temp_variation, 1),
-            "precipitation": 2.0 if day_offset % 5 == 0 else 0.0,
-            "humidity": 50 + (day_offset % 30),
-            "wind_speed": 10 + (day_offset % 15),
-            "description": "Lluvioso" if day_offset % 5 == 0 else "Soleado",
-            "source": WeatherSource.SYNTHETIC.value
-        }
-    
-    def _generate_historical_day(self, date: datetime) -> Dict[str, Any]:
-        """Generate a single historical day"""
-        month = date.month
-        base_temp = AEMETConstants.BASE_TEMPERATURE_SEASONAL + (month - 1) * AEMETConstants.TEMPERATURE_SEASONAL_MULTIPLIER
-        temp_variation = math.sin(date.day * 0.3) * 5
-        
-        return {
-            "date": date,
-            "temperature": round(base_temp + temp_variation, 1),
-            "precipitation": 1.5 if date.day % 7 == 0 else 0.0,
-            "humidity": 45 + (date.day % 40),
-            "wind_speed": 8 + (date.day % 20),
-            "pressure": 1013 + math.sin(date.day * 0.2) * 20,
-            "description": "Variable",
-            "source": WeatherSource.SYNTHETIC.value
-        }
 
 
 class LocationService:
@@ -520,7 +547,6 @@ class AEMETClient(BaseAPIClient):
         self.timeout = httpx.Timeout(float(settings.AEMET_TIMEOUT))
         self.retries = settings.AEMET_RETRY_ATTEMPTS
         self.parser = WeatherDataParser()
-        self.synthetic_generator = SyntheticWeatherGenerator()
         self.location_service = LocationService()
     
     async def get_current_weather(self, latitude: float, longitude: float) -> Optional[Dict[str, Any]]:
@@ -531,15 +557,15 @@ class AEMETClient(BaseAPIClient):
             
             # Check if API key is configured
             if not self.api_key:
-                logger.error("❌ AEMET API key not configured - falling back to synthetic data")
+                logger.error("❌ AEMET API key not configured")
-                return await self._get_synthetic_current_weather()
+                return None
             
             station_id = self.location_service.find_nearest_station(latitude, longitude)
             if not station_id:
                 logger.warning("❌ No weather station found for coordinates", 
                              lat=latitude, lon=longitude, 
                              madrid_bounds=f"{AEMETConstants.MADRID_BOUNDS.min_lat}-{AEMETConstants.MADRID_BOUNDS.max_lat}")
-                return await self._get_synthetic_current_weather()
+                return None
             
             logger.info("✅ Found nearest weather station", station_id=station_id)
             
@@ -555,22 +581,22 @@ class AEMETClient(BaseAPIClient):
                               description=parsed_data.get("description"))
                 return parsed_data
             
-            logger.warning("⚠️ AEMET API connectivity issues - using synthetic data", 
+            logger.warning("⚠️ AEMET API connectivity issues", 
                          station_id=station_id, reason="aemet_api_unreachable")
-            return await self._get_synthetic_current_weather()
+            return None
             
         except Exception as e:
-            logger.error("❌ AEMET API failed - falling back to synthetic", 
+            logger.error("❌ AEMET API failed", 
                         error=str(e), error_type=type(e).__name__)
-            return await self._get_synthetic_current_weather()
+            return None
     
     async def get_forecast(self, latitude: float, longitude: float, days: int = 7) -> List[Dict[str, Any]]:
         """Get weather forecast for coordinates"""
         try:
             municipality_code = self.location_service.get_municipality_code(latitude, longitude)
             if not municipality_code:
-                logger.info("No municipality code found, using synthetic data")
+                logger.error("No municipality code found for coordinates", lat=latitude, lon=longitude)
-                return await self.synthetic_generator.generate_forecast(days)
+                return []
             
             forecast_data = await self._fetch_forecast_data(municipality_code)
             if forecast_data:
@@ -578,12 +604,47 @@ class AEMETClient(BaseAPIClient):
                 if parsed_forecast:
                     return parsed_forecast
             
-            logger.info("Falling back to synthetic forecast data", reason="invalid_forecast_data")
+            logger.error("Invalid forecast data received from AEMET API")
-            return await self.synthetic_generator.generate_forecast(days)
+            return []
             
         except Exception as e:
             logger.error("Failed to get weather forecast", error=str(e))
-            return await self.synthetic_generator.generate_forecast(days)
+            return []
+    
+    async def get_hourly_forecast(self, latitude: float, longitude: float, hours: int = 48) -> List[Dict[str, Any]]:
+        """Get hourly weather forecast using AEMET's hourly prediction API"""
+        try:
+            logger.info("🕒 Getting hourly forecast from AEMET", 
+                       lat=latitude, lon=longitude, hours=hours)
+            
+            # Check if API key is configured
+            if not self.api_key:
+                logger.error("❌ AEMET API key not configured")
+                return []
+            
+            municipality_code = self.location_service.get_municipality_code(latitude, longitude)
+            if not municipality_code:
+                logger.error("❌ No municipality code found for coordinates", 
+                             lat=latitude, lon=longitude)
+                return []
+            
+            logger.info("✅ Found municipality code", municipality_code=municipality_code)
+            
+            hourly_data = await self._fetch_hourly_forecast_data(municipality_code)
+            if hourly_data:
+                logger.info("🎉 SUCCESS: Real AEMET hourly data retrieved!", municipality_code=municipality_code)
+                parsed_data = self.parser.parse_hourly_forecast_data(hourly_data, hours)
+                if parsed_data:
+                    return parsed_data
+            
+            logger.error("⚠️ AEMET hourly API connectivity issues", 
+                         municipality_code=municipality_code, reason="aemet_hourly_api_unreachable")
+            return []
+            
+        except Exception as e:
+            logger.error("❌ AEMET hourly API failed", 
+                        error=str(e), error_type=type(e).__name__)
+            return []
     
     async def get_historical_weather(self, 
                                    latitude: float, 
@@ -598,9 +659,9 @@ class AEMETClient(BaseAPIClient):
             
             station_id = self.location_service.find_nearest_station(latitude, longitude)
             if not station_id:
-                logger.warning("No weather station found for historical data", 
+                logger.error("No weather station found for historical data", 
                              lat=latitude, lon=longitude)
-                return self.synthetic_generator.generate_historical_data(start_date, end_date)
+                return []
             
             historical_data = await self._fetch_historical_data_in_chunks(
                 station_id, start_date, end_date
@@ -611,12 +672,12 @@ class AEMETClient(BaseAPIClient):
                            total_count=len(historical_data))
                 return historical_data
             else:
-                logger.info("No real historical data available, using synthetic data")
+                logger.error("No real historical data available from AEMET")
-                return self.synthetic_generator.generate_historical_data(start_date, end_date)
+                return []
                 
         except Exception as e:
             logger.error("Failed to get historical weather from AEMET API", error=str(e))
-            return self.synthetic_generator.generate_historical_data(start_date, end_date)
+            return []
     
     async def _fetch_current_weather_data(self, station_id: str) -> Optional[Dict[str, Any]]:
         """Fetch current weather data from AEMET API"""
@@ -646,6 +707,17 @@ class AEMETClient(BaseAPIClient):
         datos_url = initial_response.get("datos")
         return await self._fetch_from_url(datos_url)
     
+    async def _fetch_hourly_forecast_data(self, municipality_code: str) -> Optional[List[Dict[str, Any]]]:
+        """Fetch hourly forecast data from AEMET API"""
+        endpoint = f"/prediccion/especifica/municipio/horaria/{municipality_code}"
+        initial_response = await self._get(endpoint)
+        
+        if not self._is_valid_initial_response(initial_response):
+            return None
+        
+        datos_url = initial_response.get("datos")
+        return await self._fetch_from_url(datos_url)
+    
     async def _fetch_historical_data_in_chunks(self, 
                                              station_id: str, 
                                              start_date: datetime, 
@@ -725,6 +797,3 @@ class AEMETClient(BaseAPIClient):
         return (response and isinstance(response, dict) and 
                 response.get("datos") and isinstance(response.get("datos"), str))
     
-    async def _get_synthetic_current_weather(self) -> Dict[str, Any]:
-        """Get synthetic current weather data"""
-        return self.synthetic_generator.generate_current_weather()

services/external/app/schemas/weather.py

@@ -158,4 +158,20 @@ class HistoricalWeatherRequest(BaseModel):
 class WeatherForecastRequest(BaseModel):
     latitude: float
     longitude: float
-    days: int
+    days: int
+
+class HourlyForecastRequest(BaseModel):
+    latitude: float
+    longitude: float
+    hours: int = Field(default=48, ge=1, le=48, description="Number of hours to forecast (1-48)")
+
+class HourlyForecastResponse(BaseModel):
+    forecast_datetime: datetime
+    generated_at: datetime
+    temperature: Optional[float]
+    precipitation: Optional[float]
+    humidity: Optional[float]
+    wind_speed: Optional[float]
+    description: Optional[str]
+    source: str
+    hour: int

services/external/app/services/weather_service.py

@@ -9,7 +9,7 @@ import structlog
 
 from app.models.weather import WeatherData, WeatherForecast
 from app.external.aemet import AEMETClient
-from app.schemas.weather import WeatherDataResponse, WeatherForecastResponse
+from app.schemas.weather import WeatherDataResponse, WeatherForecastResponse, HourlyForecastResponse
 from app.repositories.weather_repository import WeatherRepository
 
 logger = structlog.get_logger()
@@ -79,6 +79,48 @@ class WeatherService:
             logger.error("Failed to get weather forecast", error=str(e), lat=latitude, lon=longitude)
             return []
     
+    async def get_hourly_forecast(self, latitude: float, longitude: float, hours: int = 48) -> List[HourlyForecastResponse]:
+        """Get hourly weather forecast for location"""
+        try:
+            logger.debug("Getting hourly weather forecast", lat=latitude, lon=longitude, hours=hours)
+            hourly_data = await self.aemet_client.get_hourly_forecast(latitude, longitude, hours)
+            
+            if hourly_data:
+                logger.debug("Hourly forecast data received", count=len(hourly_data))
+                # Validate each hourly forecast item before creating response
+                valid_forecasts = []
+                for item in hourly_data:
+                    try:
+                        if isinstance(item, dict):
+                            # Ensure required fields are present
+                            hourly_item = {
+                                "forecast_datetime": item.get("forecast_datetime", datetime.now()),
+                                "generated_at": item.get("generated_at", datetime.now()),
+                                "temperature": float(item.get("temperature", 15.0)),
+                                "precipitation": float(item.get("precipitation", 0.0)),
+                                "humidity": float(item.get("humidity", 50.0)),
+                                "wind_speed": float(item.get("wind_speed", 10.0)),
+                                "description": str(item.get("description", "Variable")),
+                                "source": str(item.get("source", "unknown")),
+                                "hour": int(item.get("hour", 0))
+                            }
+                            valid_forecasts.append(HourlyForecastResponse(**hourly_item))
+                        else:
+                            logger.warning("Invalid hourly forecast item type", item_type=type(item))
+                    except Exception as item_error:
+                        logger.warning("Error processing hourly forecast item", error=str(item_error), item=item)
+                        continue
+                
+                logger.debug("Valid hourly forecasts processed", count=len(valid_forecasts))
+                return valid_forecasts
+            else:
+                logger.warning("No hourly forecast data received from AEMET client")
+                return []
+                
+        except Exception as e:
+            logger.error("Failed to get hourly weather forecast", error=str(e), lat=latitude, lon=longitude)
+            return []
+    
     async def get_historical_weather(self, 
                                    latitude: float, 
                                    longitude: float,