Fix: Analytics Worker berechnet jetzt alle Tabellen pro Tag

dashboard/public/index.html

@@ -267,8 +267,43 @@
                 const data = res.dataset || [];
                 const columns = res.columns || [];
                 
+                console.log('Moving Average API Response:', { 
+                    dataLength: data.length, 
+                    columns: columns.map(c => c.name),
+                    firstRow: data[0] 
+                });
+                
                 if (!data.length) {
-                    console.log('No moving average data available');
+                    console.warn('No moving average data available - analytics_exchange_daily table may be empty');
+                    // Zeige leere Graphen mit "Keine Daten" Meldung
+                    const exchangeGroups = {
+                        'EIX': { canvasId: 'maChartEIX' },
+                        'LS': { canvasId: 'maChartLS' },
+                        'GETTEX': { canvasId: 'maChartGETTEX' },
+                        'XETRA': { canvasId: 'maChartXETRA' },
+                        'FRA': { canvasId: 'maChartFRA' },
+                        'STU': { canvasId: 'maChartSTU' },
+                        'QUOTRIX': { canvasId: 'maChartQUOTRIX' }
+                    };
+                    Object.values(exchangeGroups).forEach(config => {
+                        const canvas = document.getElementById(config.canvasId);
+                        if (canvas) {
+                            const ctx = canvas.getContext('2d');
+                            if (charts[config.canvasId]) charts[config.canvasId].destroy();
+                            charts[config.canvasId] = new Chart(ctx, {
+                                type: 'line',
+                                data: { labels: [], datasets: [] },
+                                options: {
+                                    responsive: true,
+                                    maintainAspectRatio: false,
+                                    plugins: {
+                                        legend: { display: false },
+                                        title: { display: true, text: 'Keine Daten verfügbar' }
+                                    }
+                                }
+                            });
+                        }
+                    });
                     return;
                 }
                 
@@ -277,6 +312,11 @@
                 const countIdx = columns.findIndex(c => c.name === 'trade_count');
                 const volumeIdx = columns.findIndex(c => c.name === 'volume');
                 
+                if (dateIdx === -1 || exchangeIdx === -1 || countIdx === -1 || volumeIdx === -1) {
+                    console.error('Missing required columns:', { dateIdx, exchangeIdx, countIdx, volumeIdx, columns });
+                    return;
+                }
+                
                 // Alle Exchanges mit Canvas-IDs definieren
                 const exchangeGroups = {
                     'EIX': { exchanges: ['EIX'], canvasId: 'maChartEIX' },
@@ -289,7 +329,18 @@
                 };
                 
                 // Alle Daten nach Datum sortieren
-                const dates = [...new Set(data.map(r => r[dateIdx]))].sort();
+                const dates = [...new Set(data.map(r => {
+                    const dateVal = r[dateIdx];
+                    // Handle timestamp format (could be string or number)
+                    if (typeof dateVal === 'string') {
+                        return dateVal.split('T')[0]; // Extract date part
+                    } else if (typeof dateVal === 'number') {
+                        return new Date(dateVal / 1000).toISOString().split('T')[0];
+                    }
+                    return dateVal;
+                }))].sort();
+                
+                console.log('Processed dates:', dates.slice(0, 5), '...', dates.slice(-5));
                 
                 // Moving Average berechnen (7-Tage gleitender Durchschnitt)
                 const maWindow = 7;
@@ -320,16 +371,30 @@
                     dates.forEach(date => {
                         const dayRows = data.filter(r => {
                             const exchange = r[exchangeIdx];
-                            return r[dateIdx] === date && config.exchanges.includes(exchange);
+                            const rowDate = r[dateIdx];
+                            let rowDateStr = rowDate;
+                            if (typeof rowDate === 'string') {
+                                rowDateStr = rowDate.split('T')[0];
+                            } else if (typeof rowDate === 'number') {
+                                rowDateStr = new Date(rowDate / 1000).toISOString().split('T')[0];
+                            }
+                            return rowDateStr === date && config.exchanges.includes(exchange);
                         });
                         groupData[date] = {
-                            tradeCount: dayRows.reduce((sum, r) => sum + (r[countIdx] || 0), 0),
-                            volume: dayRows.reduce((sum, r) => sum + (r[volumeIdx] || 0), 0)
+                            tradeCount: dayRows.reduce((sum, r) => sum + (parseFloat(r[countIdx]) || 0), 0),
+                            volume: dayRows.reduce((sum, r) => sum + (parseFloat(r[volumeIdx]) || 0), 0)
                         };
                     });
                     
                     const tradeData = dates.map(d => groupData[d]?.tradeCount || 0);
                     const volumeData = dates.map(d => groupData[d]?.volume || 0);
+                    
+                    console.log(`${groupName} data:`, { 
+                        dates: dates.length, 
+                        tradeData: tradeData.slice(0, 5), 
+                        volumeData: volumeData.slice(0, 5) 
+                    });
+                    
                     const maTradeData = calculateMA(tradeData, maWindow);
                     const maVolumeData = calculateMA(volumeData, maWindow);