cleanup

package-lock.json

@@ -10,6 +10,7 @@
       "dependencies": {
         "@react-pdf/renderer": "^4.3.0",
         "framer-motion": "^12.12.1",
+        "lucide-react": "^0.515.0",
         "mongodb": "^6.3.0",
         "mongoose": "^8.15.0",
         "next": "14.1.0",
@@ -1754,6 +1755,15 @@
       "dev": true,
       "license": "ISC"
     },
+    "node_modules/lucide-react": {
+      "version": "0.515.0",
+      "resolved": "https://registry.npmjs.org/lucide-react/-/lucide-react-0.515.0.tgz",
+      "integrity": "sha512-Sy7bY0MeicRm2pzrnoHm2h6C1iVoeHyBU2fjdQDsXGP51fhkhau1/ZV/dzrcxEmAKsxYb6bGaIsMnGHuQ5s0dw==",
+      "license": "ISC",
+      "peerDependencies": {
+        "react": "^16.5.1 || ^17.0.0 || ^18.0.0 || ^19.0.0"
+      }
+    },
     "node_modules/media-engine": {
       "version": "1.0.3",
       "resolved": "https://registry.npmjs.org/media-engine/-/media-engine-1.0.3.tgz",

package.json

@@ -11,6 +11,7 @@
   "dependencies": {
     "@react-pdf/renderer": "^4.3.0",
     "framer-motion": "^12.12.1",
+    "lucide-react": "^0.515.0",
     "mongodb": "^6.3.0",
     "mongoose": "^8.15.0",
     "next": "14.1.0",

src/app/api/export-report/route.js

@@ -63,7 +63,7 @@ function calculateStatistics(data) {
       }
     } else {
       if (isCharging && chargingStart) {
-        stats.battery.chargingTime += (timestamp - chargingStart) / (1000 * 60) // minutes
+        stats.battery.chargingTime += (timestamp - chargingStart) / (1000 * 60)
         isCharging = false
         chargingStart = null
       }
@@ -360,7 +360,6 @@ async function generatePDF(stats, timeRange, data) {
     height: 300
   })
   
-  // Draw power statistics
   const powerStats = [
     `Average PV Input Power: ${stats.power.avgPvInput.toFixed(1)}W`,
     `Maximum PV Input Power: ${stats.power.maxPvInput.toFixed(1)}W`,
@@ -390,10 +389,8 @@ async function generatePDF(stats, timeRange, data) {
   
   drawFooter(page2)
   
-  // Page 3: Temperature and System Health
   drawHeader(page3, 'System Health')
   
-  // Draw temperature chart
   const temperaturePdfImage = await pdfDoc.embedPng(charts.temperatureImage)
   page3.drawImage(temperaturePdfImage, {
     x: margin,
@@ -402,7 +399,6 @@ async function generatePDF(stats, timeRange, data) {
     height: 300
   })
   
-  // Draw temperature statistics
   const tempStats = [
     `Average Inverter Temperature: ${stats.temperature.avgTemp.toFixed(1)}°C`,
     `Maximum Inverter Temperature: ${stats.temperature.maxTemp.toFixed(1)}°C`,
@@ -427,7 +423,6 @@ async function generatePDF(stats, timeRange, data) {
     })
   })
   
-  // Draw system health summary
   const healthSummary = [
     'System Health Summary:',
     `• Battery Health: ${stats.battery.avgCapacity > 80 ? 'Excellent' : stats.battery.avgCapacity > 60 ? 'Good' : 'Needs Attention'}`,
@@ -455,7 +450,6 @@ async function generatePDF(stats, timeRange, data) {
   
   drawFooter(page3)
   
-  // Save the PDF
   return await pdfDoc.save()
 }
 

src/app/api/predictions/route.js

@@ -1,183 +1,256 @@
 import { NextResponse } from 'next/server';
 import { connectToDatabase } from '@/lib/mongodb';
 
-const CACHE_DURATION = 2 * 60 * 60 * 1000; // 2 hours in milliseconds
-
-// Solar panel efficiency factors based on real-world data
 const WEATHER_IMPACT = {
-  // Cloud coverage impact on solar efficiency (based on NREL data)
   CLOUD_IMPACT: {
-    CLEAR: 1.0,           // 0-10% clouds
+    CLEAR: 1.0,
-    PARTLY_CLOUDY: 0.7,   // 11-50% clouds
+    PARTLY_CLOUDY: 0.75,
-    MOSTLY_CLOUDY: 0.4,   // 51-90% clouds
+    MOSTLY_CLOUDY: 0.5,
-    OVERCAST: 0.2,        // 91-100% clouds
+    OVERCAST: 0.25,
   },
-  // Temperature impact (based on solar panel temperature coefficient)
   TEMP_IMPACT: {
-    OPTIMAL: 1.0,         // 25°C (optimal temperature)
+    OPTIMAL: 1.0,
-    COLD: 0.95,           // < 10°C
+    COLD: 0.9,
-    HOT: 0.85,            // > 35°C
+    HOT: 0.8,
   },
-  // Rain impact
   RAIN_IMPACT: {
-    NONE: 1.0,            // 0% chance
+    NONE: 1.0,
-    LIGHT: 0.8,           // 1-30% chance
+    LIGHT: 0.7,
-    MODERATE: 0.6,        // 31-60% chance
+    HEAVY: 0.3,
-    HEAVY: 0.4,           // 61-100% chance
   }
 };
 
-async function fetchWeatherData() {
+function getCloudImpact(description) {
-  const response = await fetch(
+  if (!description) return WEATHER_IMPACT.CLOUD_IMPACT.PARTLY_CLOUDY;
-    `http://api.weatherapi.com/v1/forecast.json?key=${process.env.WEATHER_API_KEY}&q=47.06149235737582,28.86683069635403&days=7&aqi=no`
-  );
-  if (!response.ok) throw new Error('Failed to fetch weather data');
-  return response.json();
-}
 
-function getCloudImpact(cloudCover) {
+  const desc = description.toLowerCase();
-  if (cloudCover <= 10) return WEATHER_IMPACT.CLOUD_IMPACT.CLEAR;
+  if (desc.includes('clear') || desc.includes('sunny')) return WEATHER_IMPACT.CLOUD_IMPACT.CLEAR;
-  if (cloudCover <= 50) return WEATHER_IMPACT.CLOUD_IMPACT.PARTLY_CLOUDY;
+  if (desc.includes('few clouds') || desc.includes('partly')) return WEATHER_IMPACT.CLOUD_IMPACT.PARTLY_CLOUDY;
-  if (cloudCover <= 90) return WEATHER_IMPACT.CLOUD_IMPACT.MOSTLY_CLOUDY;
+  if (desc.includes('scattered') || desc.includes('mostly')) return WEATHER_IMPACT.CLOUD_IMPACT.MOSTLY_CLOUDY;
-  return WEATHER_IMPACT.CLOUD_IMPACT.OVERCAST;
+  if (desc.includes('overcast') || desc.includes('cloudy')) return WEATHER_IMPACT.CLOUD_IMPACT.OVERCAST;
+  return WEATHER_IMPACT.CLOUD_IMPACT.PARTLY_CLOUDY;
 }
 
 function getTempImpact(temp) {
-  if (temp >= 10 && temp <= 35) {
+  if (typeof temp !== 'number' || isNaN(temp)) return WEATHER_IMPACT.TEMP_IMPACT.OPTIMAL;
-    // Linear interpolation for temperatures between optimal ranges
+
-    if (temp <= 25) {
+  if (temp >= 20 && temp <= 25) return WEATHER_IMPACT.TEMP_IMPACT.OPTIMAL;
-      return 1.0 - ((25 - temp) * 0.003); // 0.3% loss per degree below optimal
+  if (temp < 10) return WEATHER_IMPACT.TEMP_IMPACT.COLD;
+  if (temp > 35) return WEATHER_IMPACT.TEMP_IMPACT.HOT;
+
+  if (temp < 20) {
+    return 0.9 + ((temp - 10) / 10) * 0.1;
   } else {
-      return 1.0 - ((temp - 25) * 0.01); // 1% loss per degree above optimal
+    return 1.0 - ((temp - 25) / 10) * 0.2;
   }
 }
-  return temp < 10 ? WEATHER_IMPACT.TEMP_IMPACT.COLD : WEATHER_IMPACT.TEMP_IMPACT.HOT;
-}
 
-function getRainImpact(rainChance) {
+function getRainImpact(description) {
-  if (rainChance <= 0) return WEATHER_IMPACT.RAIN_IMPACT.NONE;
+  if (!description) return WEATHER_IMPACT.RAIN_IMPACT.NONE;
-  if (rainChance <= 30) return WEATHER_IMPACT.RAIN_IMPACT.LIGHT;
+
-  if (rainChance <= 60) return WEATHER_IMPACT.RAIN_IMPACT.MODERATE;
+  const desc = description.toLowerCase();
+  if (desc.includes('rain') || desc.includes('shower')) {
+    if (desc.includes('heavy') || desc.includes('thunderstorm')) {
       return WEATHER_IMPACT.RAIN_IMPACT.HEAVY;
     }
-
+    return WEATHER_IMPACT.RAIN_IMPACT.LIGHT;
-async function calculatePrediction(weatherData, historicalData) {
+  }
-  // Validate historical data
+  if (desc.includes('snow') || desc.includes('thunderstorm')) {
-  if (!historicalData || historicalData.length === 0) {
+    return WEATHER_IMPACT.RAIN_IMPACT.HEAVY;
-    throw new Error('No historical data available for predictions');
+  }
+  return WEATHER_IMPACT.RAIN_IMPACT.NONE;
 }
 
-  // Filter out invalid data points and calculate average
+async function ensureWeatherData(db) {
-  const validHistoricalData = historicalData.filter(data => 
+  console.log('Checking for weather data...');
-    data && 
+
-    data.data && 
+  let weatherData = await db.collection('weather_data')
-    typeof data.data.pv_input_power === 'number' && 
+      .findOne({}, { sort: { timestamp: -1 } });
-    !isNaN(data.data.pv_input_power)
+
+  console.log('Weather data found:', !!weatherData);
+
+  if (!weatherData || !weatherData.forecasts) {
+    console.log('No weather data found, attempting to fetch...');
+
+    try {
+      const baseUrl = process.env.NEXTAUTH_URL || 'http://localhost:3000';
+      const response = await fetch(`${baseUrl}/api/weather?refresh=true`, {
+        method: 'GET',
+        headers: {
+          'Content-Type': 'application/json',
+        },
+      });
+
+      if (response.ok) {
+        console.log('Weather API call successful, checking database again...');
+        weatherData = await db.collection('weather_data')
+            .findOne({}, { sort: { timestamp: -1 } });
+      }
+    } catch (error) {
+      console.error('Failed to fetch weather data internally:', error);
+    }
+  }
+
+  return weatherData;
+}
+
+async function calculateSimplePrediction(weatherData, historicalData) {
+  console.log('Calculating predictions with weather data:', weatherData?.length, 'historical data:', historicalData?.length);
+
+  let basePower = 800;
+
+  if (historicalData && historicalData.length > 0) {
+    const validData = historicalData.filter(d =>
+        d && d.data && typeof d.data.pv_input_power === 'number' && d.data.pv_input_power > 0
     );
 
-  if (validHistoricalData.length === 0) {
+    if (validData.length > 0) {
-    throw new Error('No valid historical power data available');
+      const avgPower = validData.reduce((sum, d) => sum + d.data.pv_input_power, 0) / validData.length;
+      basePower = Math.max(200, avgPower);
+      console.log('Calculated base power from historical data:', basePower);
+    }
   }
 
-  // Calculate base power from historical data
+  if (!weatherData || !Array.isArray(weatherData)) {
-  const historicalAvg = validHistoricalData.reduce((sum, data) => sum + data.data.pv_input_power, 0) / validHistoricalData.length;
+    console.error('Invalid weather data:', weatherData);
-  const basePower = Math.max(200, historicalAvg); // Minimum 200W baseline
+    throw new Error('Invalid weather data provided');
-
-  // Calculate predictions for each day
-  const predictions = weatherData.forecast.forecastday.map(day => {
-    // Ensure we have the required data
-    if (!day || !day.day) {
-      throw new Error('Invalid weather data structure');
   }
 
-    const cloudCover = day.day.cloud || 0;
+  const predictions = weatherData.slice(0, 7).map((dayWeather, index) => {
-    const rainChance = day.day.daily_chance_of_rain || 0;
+    if (!dayWeather) {
-    const avgTemp = ((day.day.maxtemp_c || 0) + (day.day.mintemp_c || 0)) / 2;
+      throw new Error(`Weather data missing for day ${index}`);
-    
-    // Validate weather data
-    if (typeof cloudCover !== 'number' || typeof rainChance !== 'number' || typeof avgTemp !== 'number') {
-      console.error('Weather data validation failed:', { cloudCover, rainChance, avgTemp });
-      throw new Error('Invalid weather data received');
     }
 
-    // Calculate weather impact factors
+    const avgTemp = dayWeather.temp_max && dayWeather.temp_min
-    const cloudImpact = getCloudImpact(cloudCover);
+        ? (dayWeather.temp_max + dayWeather.temp_min) / 2
+        : 20; // Default temp
+
+    const cloudImpact = getCloudImpact(dayWeather.description);
     const tempImpact = getTempImpact(avgTemp);
-    const rainImpact = getRainImpact(rainChance);
+    const rainImpact = getRainImpact(dayWeather.description);
 
-    // Calculate final prediction with all factors
     const weatherFactor = cloudImpact * tempImpact * rainImpact;
     const predictedPower = Math.round(basePower * weatherFactor);
 
-    // Calculate confidence based on weather stability
+    const daysFuture = index + 1;
-    const weatherStability = 1 - (Math.abs(cloudImpact - 1) + Math.abs(tempImpact - 1) + Math.abs(rainImpact - 1)) / 3;
+    const baseConfidence = 0.9 - (daysFuture * 0.1);
-    const confidence = 0.7 + (weatherStability * 0.3);
+    const weatherConfidence = (cloudImpact + tempImpact + rainImpact) / 3;
+    const confidence = Math.max(0.3, baseConfidence * weatherConfidence);
 
     return {
-      date: new Date(day.date),
+      date: dayWeather.date ? new Date(dayWeather.date) : new Date(Date.now() + index * 24 * 60 * 60 * 1000),
       predictedPower,
-      weatherData: day,
+      weatherData: dayWeather,
       confidence: Math.round(confidence * 100) / 100,
       factors: {
         cloudImpact,
         tempImpact,
-        rainImpact
+        rainImpact,
+        weatherFactor
       }
     };
   });
 
+  console.log('Generated predictions:', predictions.length);
   return predictions;
 }
 
-export async function GET() {
+export async function GET(request) {
+  console.log('GET /api/predictions called');
+
   try {
     const { db } = await connectToDatabase();
-    const now = new Date();
+    console.log('Database connected successfully');
 
-    // Check for cached predictions
+    const { searchParams } = new URL(request.url);
-    const cachedPredictions = await db.collection('predictions')
+    const forceRefresh = searchParams.get('refresh') === 'true';
-      .find({
+    console.log('Force refresh:', forceRefresh);
-        date: { $gte: now },
+
-        lastUpdated: { $gte: new Date(now.getTime() - CACHE_DURATION) }
+    if (!forceRefresh) {
-      })
+      console.log('Checking for cached predictions...');
+      const existingPredictions = await db.collection('predictions')
+          .find({})
           .sort({ date: 1 })
           .toArray();
 
-    if (cachedPredictions.length === 7) {
+      console.log('Found cached predictions:', existingPredictions.length);
-      return NextResponse.json(cachedPredictions);
+
+      if (existingPredictions.length > 0) {
+        const sixHoursAgo = new Date(Date.now() - 6 * 60 * 60 * 1000);
+        const latestPrediction = existingPredictions[0];
+
+        if (latestPrediction.lastUpdated && new Date(latestPrediction.lastUpdated) > sixHoursAgo) {
+          return NextResponse.json({
+            predictions: existingPredictions,
+            fromCache: true,
+            lastUpdated: latestPrediction.lastUpdated
+          });
+        } else {
+          console.log('Cached predictions are stale, will refresh');
+        }
+      }
     }
 
-    // Fetch fresh weather data
+    const weatherData = await ensureWeatherData(db);
-    const weatherData = await fetchWeatherData();
 
-    // Get historical power data for the last 30 days
+    if (!weatherData || !weatherData.forecasts) {
-    const thirtyDaysAgo = new Date(now.getTime() - 30 * 24 * 60 * 60 * 1000);
+      console.error('No weather data available after attempting to fetch');
+      return NextResponse.json(
+          {
+            error: 'No weather data available. Please check your weather API configuration.',
+            suggestion: 'Ensure WEATHER_API_KEY is set and the weather API is accessible.'
+          },
+          { status: 400 }
+      );
+    }
+
+    console.log('Weather data available with forecasts:', weatherData.forecasts.length);
+
+    console.log('Fetching historical solar data...');
+    const thirtyDaysAgo = new Date(Date.now() - 30 * 24 * 60 * 60 * 1000);
     const historicalData = await db.collection('solar_data')
         .find({ timestamp: { $gte: thirtyDaysAgo } })
         .toArray();
 
-    // Calculate new predictions
+    console.log('Historical data found:', historicalData.length, 'records');
-    const predictions = await calculatePrediction(weatherData, historicalData);
 
-    // Store predictions in database
+    console.log('Calculating new predictions...');
-    const bulkOps = predictions.map(prediction => ({
+    const predictions = await calculateSimplePrediction(weatherData.forecasts, historicalData);
-      updateOne: {
+
-        filter: { date: prediction.date },
+    const now = new Date();
-        update: { $set: prediction },
+    const predictionsWithTimestamp = predictions.map(pred => ({
-        upsert: true
+      ...pred,
-      }
+      lastUpdated: now
     }));
 
-    if (bulkOps.length > 0) {
+    console.log('Storing predictions in database...');
-      await db.collection('predictions').bulkWrite(bulkOps);
+    await db.collection('predictions').deleteMany({});
+    if (predictionsWithTimestamp.length > 0) {
+      await db.collection('predictions').insertMany(predictionsWithTimestamp);
     }
 
-    return NextResponse.json(predictions);
+    console.log('Predictions stored successfully');
+
+    return NextResponse.json({
+      predictions: predictionsWithTimestamp,
+      fromCache: false,
+      lastUpdated: now
+    });
+
   } catch (error) {
-    console.error('Prediction error:', error);
+    console.error('Prediction API error:', error);
     return NextResponse.json(
-      { error: error.message || 'Failed to generate predictions' },
+        {
+          error: error.message || 'Failed to generate predictions',
+          stack: process.env.NODE_ENV === 'development' ? error.stack : undefined,
+          timestamp: new Date().toISOString()
+        },
         { status: 500 }
     );
   }
 }
+
+export async function POST(request) {
+  console.log('POST /api/predictions called - forcing refresh');
+  return GET(new Request(request.url + '?refresh=true'));
+}

src/app/api/solar-data/route.js

@@ -14,7 +14,6 @@ export async function GET(request) {
     let startDate = new Date()
     let endDate = new Date()
 
-    // If since parameter is provided, use it as the start date
     if (since) {
       startDate = new Date(since)
     } else {

src/app/api/weather/route.js

@@ -8,23 +8,60 @@ const COORDS = {
 }
 
 async function fetchWeatherFromAPI() {
+  console.log('Fetching weather from WeatherAPI...')
+
+  if (!process.env.WEATHER_API_KEY) {
+    throw new Error('WEATHER_API_KEY environment variable is not set')
+  }
+
   const response = await fetch(
-    `http://api.weatherapi.com/v1/forecast.json?key=${process.env.WEATHER_API_KEY}&q=${COORDS.lat},${COORDS.lon}&days=7&aqi=no`
+      `http://api.weatherapi.com/v1/forecast.json?key=${process.env.WEATHER_API_KEY}&q=${COORDS.lat},${COORDS.lon}&days=7&aqi=no`,
+      {
+        headers: {
+          'User-Agent': 'SolarPrediction/1.0'
+        }
+      }
   )
 
   if (!response.ok) {
-    throw new Error('Failed to fetch weather data')
+    const errorText = await response.text()
+    console.error('WeatherAPI Error:', response.status, errorText)
+    throw new Error(`Weather API failed: ${response.status} - ${errorText}`)
   }
 
-  return response.json()
+  const data = await response.json()
+  console.log('Weather data fetched successfully:', !!data.forecast?.forecastday)
+
+  return data
 }
 
-export async function GET() {
+function convertToInternalFormat(weatherApiData) {
+  if (!weatherApiData.forecast?.forecastday) {
+    throw new Error('Invalid weather data structure from WeatherAPI')
+  }
+
+  return weatherApiData.forecast.forecastday.map(day => ({
+    date: day.date,
+    temp_min: day.day.mintemp_c,
+    temp_max: day.day.maxtemp_c,
+    humidity: day.day.avghumidity,
+    wind_speed: day.day.maxwind_kph / 3.6,
+    icon: day.day.condition.icon,
+    description: day.day.condition.text.toLowerCase(),
+    timestamp: new Date(day.date)
+  }))
+}
+
+export async function GET(request) {
+  console.log('Weather API GET called')
+
   try {
-    // Ensure database connection
+    const { searchParams } = new URL(request.url)
-    const { db } = await connectToDatabase()
+    const forceRefresh = searchParams.get('refresh') === 'true'
+
+    const { db } = await connectToDatabase()
+    console.log('Database connected successfully')
 
-    // Check if we have cached data
     const cachedWeather = await db.collection('weather').findOne({
       'location.lat': COORDS.lat,
       'location.lon': COORDS.lon
@@ -34,22 +71,26 @@ export async function GET() {
     const isCacheValid = cachedWeather &&
         (now - new Date(cachedWeather.lastUpdated)) < CACHE_DURATION
 
-    // If cache is valid, return cached data
+    console.log('Cache status:', {
-    if (isCacheValid) {
+      hasCached: !!cachedWeather,
+      isCacheValid,
+      forceRefresh
+    })
+
+    if (isCacheValid && !forceRefresh) {
+      console.log('Returning cached weather data')
       return NextResponse.json(cachedWeather)
     }
 
-    // If no cache or cache is invalid, fetch fresh data
+    console.log('Fetching fresh weather data...')
     const weatherData = await fetchWeatherFromAPI()
 
-    // Add metadata to the weather data
     const weatherWithMetadata = {
       ...weatherData,
       location: COORDS,
       lastUpdated: now
     }
 
-    // Update or create weather document
     await db.collection('weather').updateOne(
         {
           'location.lat': COORDS.lat,
@@ -59,15 +100,52 @@ export async function GET() {
         { upsert: true }
     )
 
+    const internalFormatData = convertToInternalFormat(weatherData)
+
+    await db.collection('weather_data').updateOne(
+        { type: 'forecast' },
+        {
+          $set: {
+            forecasts: internalFormatData,
+            timestamp: now,
+            source: 'weatherapi'
+          }
+        },
+        { upsert: true }
+    )
+
+    console.log('Weather data stored in both formats successfully')
+
     return NextResponse.json(weatherWithMetadata)
+
   } catch (error) {
     console.error('Weather API Error:', error)
-    // If we have cached data but failed to fetch new data, return cached data
+
+    try {
+      const { db } = await connectToDatabase()
+      const cachedWeather = await db.collection('weather').findOne({
+        'location.lat': COORDS.lat,
+        'location.lon': COORDS.lon
+      })
+
       if (cachedWeather) {
-      return NextResponse.json(cachedWeather)
+        console.log('Returning stale cached data due to API error')
+        return NextResponse.json({
+          ...cachedWeather,
+          isStale: true,
+          error: 'Using cached data due to API error'
+        })
       }
+    } catch (dbError) {
+      console.error('Database error while fetching cached data:', dbError)
+    }
+
     return NextResponse.json(
-      { error: 'Failed to fetch weather data' },
+        {
+          error: 'Failed to fetch weather data',
+          details: error.message,
+          timestamp: new Date().toISOString()
+        },
         { status: 500 }
     )
   }

src/app/page.js

@@ -6,9 +6,7 @@ import { BatteryStatus } from '@/components/BatteryStatus'
 import { PowerStats } from '@/components/PowerStats'
 import { SystemStatus } from '@/components/SystemStatus'
 import { SolarChart } from '@/components/SolarChart'
-import { LastRefresh } from '@/components/LastRefresh'
+import { motion } from 'framer-motion'
-import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '@/components/ui/select'
-import { motion, AnimatePresence } from 'framer-motion'
 import { Navbar } from '@/components/Navbar'
 import WeatherForecast from '@/components/WeatherForecast'
 import PowerPredictionGraph from '@/components/PowerPredictionGraph'
@@ -32,7 +30,6 @@ export default function Dashboard() {
       
       if (newData.length > 0) {
         setCurrentData(prevData => {
-          // Merge new data with existing data, avoiding duplicates
           const mergedData = [...prevData]
           newData.forEach(newItem => {
             const newTimestamp = newItem.timestamp.$date || newItem.timestamp
@@ -48,11 +45,9 @@ export default function Dashboard() {
           return mergedData
         })
 
-        // Update last update time
         const latestTimestamp = newData[newData.length - 1].timestamp.$date || newData[newData.length - 1].timestamp
         setLastUpdateTime(latestTimestamp)
 
-        // Update chart data if viewing today's data
         if (chartTimeRange === 'today') {
           setData(prevData => {
             const mergedData = [...prevData]
@@ -78,7 +73,7 @@ export default function Dashboard() {
 
   const fetchHistoricalData = async () => {
     try {
-      setLastUpdateTime(null) // Reset last update time when changing time range
+      setLastUpdateTime(null);
       const response = await fetch(`/api/solar-data?timeRange=${chartTimeRange}`)
       const newData = await response.json()
       setData(newData)
@@ -90,7 +85,6 @@ export default function Dashboard() {
   }
 
   useEffect(() => {
-    // Set minimum loading time
     const minLoadingTimer = setTimeout(() => {
       setMinLoadingComplete(true)
     }, 500)

src/components/PowerPredictionGraph.js

@@ -13,29 +13,101 @@ import {
   Legend
 } from 'recharts';
 import { motion } from 'framer-motion';
+import { RefreshCw, Clock, Database, AlertCircle } from 'lucide-react';
 
 export default function PowerPredictionGraph() {
   const [predictions, setPredictions] = useState(null);
   const [loading, setLoading] = useState(true);
+  const [refreshing, setRefreshing] = useState(false);
   const [error, setError] = useState(null);
+  const [lastUpdated, setLastUpdated] = useState(null);
+  const [fromCache, setFromCache] = useState(false);
+  const [debugInfo, setDebugInfo] = useState('');
+
+  const fetchPredictions = async (forceRefresh = false) => {
+    const debugLog = [];
 
-  useEffect(() => {
-    const fetchPredictions = async () => {
     try {
-        const response = await fetch('/api/predictions');
+      debugLog.push(`Starting fetch - forceRefresh: ${forceRefresh}`);
-        if (!response.ok) throw new Error('Failed to fetch predictions');
+
+      if (forceRefresh) {
+        setRefreshing(true);
+        debugLog.push('Setting refreshing state to true');
+      } else {
+        setLoading(true);
+        debugLog.push('Setting loading state to true');
+      }
+
+      const url = forceRefresh ? '/api/predictions?refresh=true' : '/api/predictions';
+      debugLog.push(`Fetching from URL: ${url}`);
+
+      const response = await fetch(url, {
+        method: 'GET',
+        headers: {
+          'Content-Type': 'application/json',
+        },
+      });
+
+      debugLog.push(`Response status: ${response.status}`);
+      debugLog.push(`Response ok: ${response.ok}`);
+
+      if (!response.ok) {
+        const errorText = await response.text();
+        debugLog.push(`Error response text: ${errorText}`);
+        throw new Error(`HTTP ${response.status}: ${errorText}`);
+      }
+
       const data = await response.json();
-        setPredictions(data);
+      debugLog.push(`Response data received - predictions: ${data.predictions?.length}, fromCache: ${data.fromCache}`);
+
+      if (!data.predictions || !Array.isArray(data.predictions)) {
+        debugLog.push('Invalid data structure received');
+        throw new Error('Invalid response data structure');
+      }
+
+      setPredictions(data.predictions);
+      setLastUpdated(new Date(data.lastUpdated));
+      setFromCache(data.fromCache);
+      setError(null);
+      debugLog.push('State updated successfully');
+
     } catch (err) {
+      debugLog.push(`Error caught: ${err.message}`);
+      console.error('Fetch error:', err);
       setError(err.message);
     } finally {
       setLoading(false);
+      setRefreshing(false);
+      setDebugInfo(debugLog.join('\n'));
+      debugLog.push('Loading states reset');
     }
   };
 
+  useEffect(() => {
+    console.log('Component mounted, fetching initial predictions');
     fetchPredictions();
   }, []);
 
+  const handleRefresh = () => {
+    console.log('Refresh button clicked');
+    fetchPredictions(true);
+  };
+
+  const formatLastUpdated = (date) => {
+    if (!date) return 'Unknown';
+
+    const now = new Date();
+    const diffMs = now - date;
+    const diffMins = Math.floor(diffMs / 60000);
+    const diffHours = Math.floor(diffMs / 3600000);
+    const diffDays = Math.floor(diffMs / 86400000);
+
+    if (diffMins < 1) return 'Just now';
+    if (diffMins < 60) return `${diffMins} min ago`;
+    if (diffHours < 24) return `${diffHours} hour${diffHours > 1 ? 's' : ''} ago`;
+    return `${diffDays} day${diffDays > 1 ? 's' : ''} ago`;
+  };
+
   if (loading) {
     return (
         <Card className="w-full p-4 bg-gray-800/50 backdrop-blur-sm border-gray-700">
@@ -59,26 +131,104 @@ export default function PowerPredictionGraph() {
   if (error) {
     return (
         <Card className="w-full p-4 bg-gray-800/50 backdrop-blur-sm border-gray-700">
-        <div className="flex items-center justify-center h-64">
+          <div className="flex flex-col items-center justify-center h-64 space-y-4">
-          <div className="text-red-500">Error loading predictions</div>
+            <div className="text-red-500 text-center">
+              <AlertCircle className="w-12 h-12 mx-auto mb-2" />
+              <p className="font-semibold">Error loading predictions</p>
+              <p className="text-sm text-gray-400 mt-1">{error}</p>
+            </div>
+            <button
+                onClick={handleRefresh}
+                disabled={refreshing}
+                className="px-4 py-2 bg-blue-600 hover:bg-blue-700 disabled:bg-blue-800 text-white rounded-lg transition-colors duration-200"
+            >
+              {refreshing ? 'Retrying...' : 'Try Again'}
+            </button>
+
+            {/* Debug information */}
+            {process.env.NODE_ENV === 'development' && debugInfo && (
+                <details className="mt-4 w-full">
+                  <summary className="text-xs text-gray-500 cursor-pointer">Debug Info</summary>
+                  <pre className="text-xs text-gray-400 mt-2 bg-gray-900 p-2 rounded overflow-auto max-h-32">
+                {debugInfo}
+              </pre>
+                </details>
+            )}
           </div>
         </Card>
     );
   }
 
   if (!predictions?.length) {
-    return null;
+    return (
+        <Card className="w-full p-4 bg-gray-800/50 backdrop-blur-sm border-gray-700">
+          <div className="flex flex-col items-center justify-center h-64 space-y-4">
+            <div className="text-gray-400 text-center">
+              <Database className="w-12 h-12 mx-auto mb-2" />
+              <p>No prediction data available</p>
+              <p className="text-sm">Click generate to create predictions</p>
+            </div>
+            <button
+                onClick={handleRefresh}
+                disabled={refreshing}
+                className="px-4 py-2 bg-blue-600 hover:bg-blue-700 disabled:bg-blue-800 text-white rounded-lg transition-colors duration-200"
+            >
+              {refreshing ? 'Generating...' : 'Generate Predictions'}
+            </button>
+          </div>
+        </Card>
+    );
   }
 
   const chartData = predictions.map(pred => ({
-    date: new Date(pred.date).toLocaleDateString('en-US', { weekday: 'short' }),
+    date: new Date(pred.date).toLocaleDateString('en-US', {
+      weekday: 'short',
+      month: 'short',
+      day: 'numeric'
+    }),
     predicted: pred.predictedPower,
     confidence: pred.confidence * 100
   }));
 
   return (
       <Card className="w-full p-4 bg-gray-800/50 backdrop-blur-sm border-gray-700 hover:bg-gray-800/70 transition-all duration-300">
-      <h2 className="text-lg font-semibold text-white mb-4">7-Day Power Generation Forecast</h2>
+        {/* Header with title and refresh button */}
+        <div className="flex items-center justify-between mb-4">
+          <h2 className="text-lg font-semibold text-white">7-Day Power Generation Forecast</h2>
+          <div className="flex items-center space-x-3">
+            {/* Cache indicator */}
+            <div className="flex items-center space-x-1 text-xs text-gray-400">
+              {fromCache ? (
+                  <>
+                    <Database className="w-3 h-3" />
+                    <span>Cached</span>
+                  </>
+              ) : (
+                  <>
+                    <RefreshCw className="w-3 h-3" />
+                    <span>Fresh</span>
+                  </>
+              )}
+            </div>
+
+            {/* Last updated */}
+            <div className="flex items-center space-x-1 text-xs text-gray-400">
+              <Clock className="w-3 h-3" />
+              <span>{formatLastUpdated(lastUpdated)}</span>
+            </div>
+
+            {/* Refresh button */}
+            <button
+                onClick={handleRefresh}
+                disabled={refreshing}
+                className="flex items-center space-x-1 px-3 py-1 bg-blue-600 hover:bg-blue-700 disabled:bg-blue-800 text-white text-sm rounded-lg transition-colors duration-200"
+            >
+              <RefreshCw className={`w-4 h-4 ${refreshing ? 'animate-spin' : ''}`} />
+              <span>{refreshing ? 'Updating...' : 'Refresh'}</span>
+            </button>
+          </div>
+        </div>
+
         <div className="h-64">
           <ResponsiveContainer width="100%" height="100%">
             <LineChart data={chartData} margin={{ top: 5, right: 30, left: 20, bottom: 5 }}>
@@ -86,11 +236,11 @@ export default function PowerPredictionGraph() {
               <XAxis
                   dataKey="date"
                   stroke="#9CA3AF"
-              tick={{ fill: '#9CA3AF' }}
+                  tick={{ fill: '#9CA3AF', fontSize: 12 }}
               />
               <YAxis
                   stroke="#9CA3AF"
-              tick={{ fill: '#9CA3AF' }}
+                  tick={{ fill: '#9CA3AF', fontSize: 12 }}
                   label={{
                     value: 'Power (W)',
                     angle: -90,
@@ -105,6 +255,10 @@ export default function PowerPredictionGraph() {
                     borderRadius: '0.375rem',
                     color: '#F3F4F6'
                   }}
+                  formatter={(value, name) => [
+                    `${value}${name === 'Predicted Power' ? 'W' : '%'}`,
+                    name === 'Predicted Power' ? 'Predicted Power' : 'Confidence'
+                  ]}
               />
               <Legend />
               <Line
@@ -114,7 +268,7 @@ export default function PowerPredictionGraph() {
                   stroke="#60A5FA"
                   strokeWidth={2}
                   dot={{ fill: '#60A5FA', strokeWidth: 2 }}
-              activeDot={{ r: 8 }}
+                  activeDot={{ r: 6 }}
               />
               <Line
                   type="monotone"
@@ -123,11 +277,46 @@ export default function PowerPredictionGraph() {
                   stroke="#34D399"
                   strokeWidth={2}
                   dot={{ fill: '#34D399', strokeWidth: 2 }}
-              activeDot={{ r: 8 }}
+                  activeDot={{ r: 6 }}
               />
             </LineChart>
           </ResponsiveContainer>
         </div>
+
+        <div className="mt-4 p-3 bg-gray-700/50 rounded-lg">
+          <div className="grid grid-cols-2 md:grid-cols-4 gap-4 text-sm">
+            <div className="text-center">
+              <div className="text-gray-400">Avg. Predicted</div>
+              <div className="text-white font-semibold">
+                {Math.round(predictions.reduce((sum, p) => sum + p.predictedPower, 0) / predictions.length)}W
+              </div>
+            </div>
+            <div className="text-center">
+              <div className="text-gray-400">Best Day</div>
+              <div className="text-green-400 font-semibold">
+                {Math.max(...predictions.map(p => p.predictedPower))}W
+              </div>
+            </div>
+            <div className="text-center">
+              <div className="text-gray-400">Worst Day</div>
+              <div className="text-red-400 font-semibold">
+                {Math.min(...predictions.map(p => p.predictedPower))}W
+              </div>
+            </div>
+            <div className="text-center">
+              <div className="text-gray-400">Avg. Confidence</div>
+              <div className="text-blue-400 font-semibold">
+                {Math.round(predictions.reduce((sum, p) => sum + p.confidence, 0) / predictions.length * 100)}%
+              </div>
+            </div>
+          </div>
+        </div>
+
+        {process.env.NODE_ENV === 'development' && (
+            <div className="mt-2 text-xs text-gray-500">
+              Predictions: {predictions.length} | From Cache: {fromCache ? 'Yes' : 'No'}
+            </div>
+        )}
       </Card>
   );
 }

src/components/SolarChart.js

@@ -47,11 +47,9 @@ export function SolarChart({ data, type, timeRange, onTimeRangeChange }) {
 
   const formatData = (data) => {
     return getFilteredData(data).map(item => {
-      // Handle both MongoDB date format and regular date string
       const dateStr = item.timestamp.$date || item.timestamp
       const date = new Date(dateStr)
       
-      // Check if date is valid
       if (isNaN(date.getTime())) {
         console.error('Invalid date:', dateStr)
         return null

src/lib/models/prediction.js

@@ -8,23 +8,70 @@ const predictionSchema = new mongoose.Schema({
   },
   predictedPower: {
     type: Number,
-    required: true
+    required: true,
+    min: 0
   },
   weatherData: {
-    type: Object,
+    date: String,
-    required: true
+    temp_min: Number,
+    temp_max: Number,
+    humidity: Number,
+    wind_speed: Number,
+    icon: String,
+    description: String,
+    timestamp: Date
   },
   confidence: {
     type: Number,
-    required: true
+    required: true,
+    min: 0,
+    max: 1
+  },
+  factors: {
+    cloudImpact: {
+      type: Number,
+      required: true,
+      min: 0,
+      max: 1
+    },
+    tempImpact: {
+      type: Number,
+      required: true,
+      min: 0,
+      max: 1
+    },
+    rainImpact: {
+      type: Number,
+      required: true,
+      min: 0,
+      max: 1
+    },
+    weatherFactor: {
+      type: Number,
+      required: true,
+      min: 0,
+      max: 1
+    }
   },
   lastUpdated: {
     type: Date,
-    default: Date.now
+    default: Date.now,
+    index: true
   }
+}, {
+  timestamps: true
 });
 
-// Create compound index for efficient querying
+predictionSchema.index({ date: 1, lastUpdated: -1 });
-predictionSchema.index({ date: 1, lastUpdated: 1 });
+
+predictionSchema.methods.isStale = function() {
+  const sixHoursAgo = new Date(Date.now() - 6 * 60 * 60 * 1000);
+  return this.lastUpdated < sixHoursAgo;
+};
+
+predictionSchema.statics.getFreshPredictions = function() {
+  const sixHoursAgo = new Date(Date.now() - 6 * 60 * 60 * 1000);
+  return this.find({ lastUpdated: { $gte: sixHoursAgo } }).sort({ date: 1 });
+};
 
 export const Prediction = mongoose.models.Prediction || mongoose.model('Prediction', predictionSchema);

src/lib/mongodb.js

@@ -11,15 +11,12 @@ let client
 let clientPromise
 
 if (process.env.NODE_ENV === 'development') {
-  // In development mode, use a global variable so that the value
-  // is preserved across module reloads caused by HMR (Hot Module Replacement).
   if (!global._mongoClientPromise) {
     client = new MongoClient(uri, options)
     global._mongoClientPromise = client.connect()
   }
   clientPromise = global._mongoClientPromise
 } else {
-  // In production mode, it's best to not use a global variable.
   client = new MongoClient(uri, options)
   clientPromise = client.connect()
 }

src/lib/weather.js

@@ -32,7 +32,6 @@ export async function fetchWeatherData() {
     )
     const data = await response.json()
     
-    // Process the data to get daily forecasts
     const dailyForecasts = data.list.reduce((acc, item) => {
       const date = new Date(item.dt * 1000)
       const day = date.toISOString().split('T')[0]
@@ -67,10 +66,8 @@ export async function getWeatherData() {
   const { db } = await connectToDatabase()
   const collection = db.collection('weather_data')
   
-  // Get the latest weather data
   const latestData = await collection.findOne({}, { sort: { timestamp: -1 } })
   
-  // If no data exists or data is older than 2 hours, fetch new data
   if (!latestData || (Date.now() - latestData.timestamp.getTime() > 2 * 60 * 60 * 1000)) {
     const newData = await fetchWeatherData()
     await collection.insertOne({