Tessie MCP Extension

import { TessieDrive } from './tessie-client.js'; export interface CommuteRoute { id: string; name: string; from_location: string; to_location: string; typical_distance: number; frequency: number; // drives per week avg_duration_minutes: number; avg_efficiency_kwh_per_100mi: number; avg_battery_used: number; best_efficiency: number; worst_efficiency: number; recent_trend: 'improving' | 'declining' | 'stable'; time_patterns: { morning_commute: { count: number; avg_time: string }; evening_commute: { count: number; avg_time: string }; weekend: { count: number; avg_time: string }; }; } export interface CommuteAnalysis { routes_detected: number; total_commute_miles: number; total_commute_cost: number; avg_commute_efficiency: number; routes: CommuteRoute[]; recommendations: string[]; weekly_summary: { total_drives: number; total_miles: number; total_cost: number; avg_efficiency: number; best_day: string; worst_day: string; }; } export class CommuteAnalyzer { private readonly MIN_ROUTE_FREQUENCY = 3; // Minimum drives to consider a route private readonly LOCATION_SIMILARITY_THRESHOLD = 0.8; // How similar locations need to be private readonly HOME_RATE_PER_KWH = 0.13; /** * Detect and analyze commute patterns from driving history */ analyzeCommutes(drives: TessieDrive[]): CommuteAnalysis { if (drives.length < 10) { return this.emptyAnalysis('Not enough driving data to detect commute patterns'); } // Group drives by similar routes const routeGroups = this.groupDrivesByRoute(drives); // Filter for frequent routes (likely commutes) const commuteRoutes = routeGroups .filter(group => group.drives.length >= this.MIN_ROUTE_FREQUENCY) .map(group => this.analyzeRoute(group)); // Calculate weekly summary const weeklySummary = this.calculateWeeklySummary(drives, commuteRoutes); // Generate recommendations const recommendations = this.generateCommuteRecommendations(commuteRoutes, weeklySummary); const totalCommuteMiles = commuteRoutes.reduce((sum, route) => sum + (route.typical_distance * route.frequency), 0); const totalCommuteCost = this.calculateCommuteCost(totalCommuteMiles); return { routes_detected: commuteRoutes.length, total_commute_miles: Math.round(totalCommuteMiles * 100) / 100, total_commute_cost: Math.round(totalCommuteCost * 100) / 100, avg_commute_efficiency: this.calculateAvgEfficiency(commuteRoutes), routes: commuteRoutes, recommendations, weekly_summary: weeklySummary }; } private emptyAnalysis(message: string): CommuteAnalysis { return { routes_detected: 0, total_commute_miles: 0, total_commute_cost: 0, avg_commute_efficiency: 0, routes: [], recommendations: [message], weekly_summary: { total_drives: 0, total_miles: 0, total_cost: 0, avg_efficiency: 0, best_day: 'N/A', worst_day: 'N/A' } }; } private groupDrivesByRoute(drives: TessieDrive[]): Array<{ routeId: string; drives: TessieDrive[] }> { const routes = new Map<string, TessieDrive[]>(); for (const drive of drives) { const routeId = this.generateRouteId(drive.starting_location, drive.ending_location); if (!routes.has(routeId)) { routes.set(routeId, []); } routes.get(routeId)!.push(drive); } return Array.from(routes.entries()).map(([routeId, drives]) => ({ routeId, drives })); } private generateRouteId(startLocation: string, endLocation: string): string { // Normalize locations by removing specific addresses and keeping general areas const normalizeLocation = (location: string): string => { // Extract city and state, remove specific street addresses const parts = location.split(','); if (parts.length >= 3) { return `${parts[parts.length - 3].trim()}, ${parts[parts.length - 2].trim()}`; } return location; }; const start = normalizeLocation(startLocation); const end = normalizeLocation(endLocation); // Create consistent route ID regardless of direction return [start, end].sort().join(' ↔ '); } private analyzeRoute(routeGroup: { routeId: string; drives: TessieDrive[] }): CommuteRoute { const { drives } = routeGroup; const distances = drives.map(d => d.odometer_distance); const durations = drives.map(d => (d.ended_at - d.started_at) / 60); // minutes const batteryUsed = drives.map(d => d.starting_battery - d.ending_battery); // Calculate efficiency (kWh per 100 miles) const efficiencies = drives.map(d => { const distance = d.odometer_distance; const battery = d.starting_battery - d.ending_battery; if (distance === 0) return 0; return (battery / 100) * 75 / distance * 100; // Assuming 75kWh battery }).filter(e => e > 0 && e < 50); // Filter out unrealistic values // Analyze time patterns const timePatterns = this.analyzeTimePatterns(drives); // Calculate trend const recentTrend = this.calculateEfficiencyTrend(drives); // Generate route name const routeName = this.generateRouteName(drives[0]); return { id: routeGroup.routeId, name: routeName, from_location: drives[0].starting_location, to_location: drives[0].ending_location, typical_distance: this.average(distances), frequency: this.calculateWeeklyFrequency(drives), avg_duration_minutes: this.average(durations), avg_efficiency_kwh_per_100mi: this.average(efficiencies), avg_battery_used: this.average(batteryUsed), best_efficiency: Math.min(...efficiencies), worst_efficiency: Math.max(...efficiencies), recent_trend: recentTrend, time_patterns: timePatterns }; } private generateRouteName(drive: TessieDrive): string { const extractCityName = (location: string): string => { const parts = location.split(','); if (parts.length >= 2) { return parts[parts.length - 3]?.trim() || parts[0].trim(); } return location.split(' ')[0]; }; const startCity = extractCityName(drive.starting_location); const endCity = extractCityName(drive.ending_location); if (startCity === endCity) { return `${startCity} Local`; } return `${startCity} ↔ ${endCity}`; } private analyzeTimePatterns(drives: TessieDrive[]): CommuteRoute['time_patterns'] { const morningCommutes = drives.filter(d => { const hour = new Date(d.started_at * 1000).getHours(); const day = new Date(d.started_at * 1000).getDay(); return hour >= 6 && hour <= 10 && day >= 1 && day <= 5; // Weekday mornings }); const eveningCommutes = drives.filter(d => { const hour = new Date(d.started_at * 1000).getHours(); const day = new Date(d.started_at * 1000).getDay(); return hour >= 15 && hour <= 19 && day >= 1 && day <= 5; // Weekday evenings }); const weekendDrives = drives.filter(d => { const day = new Date(d.started_at * 1000).getDay(); return day === 0 || day === 6; // Saturday or Sunday }); return { morning_commute: { count: morningCommutes.length, avg_time: this.calculateAvgTime(morningCommutes) }, evening_commute: { count: eveningCommutes.length, avg_time: this.calculateAvgTime(eveningCommutes) }, weekend: { count: weekendDrives.length, avg_time: this.calculateAvgTime(weekendDrives) } }; } private calculateAvgTime(drives: TessieDrive[]): string { if (drives.length === 0) return 'N/A'; const avgTimestamp = drives.reduce((sum, d) => sum + d.started_at, 0) / drives.length; return new Date(avgTimestamp * 1000).toLocaleTimeString('en-US', { hour: '2-digit', minute: '2-digit' }); } private calculateEfficiencyTrend(drives: TessieDrive[]): 'improving' | 'declining' | 'stable' { if (drives.length < 6) return 'stable'; const sortedDrives = drives.sort((a, b) => a.started_at - b.started_at); const recentDrives = sortedDrives.slice(-6); // Last 6 drives const olderDrives = sortedDrives.slice(0, Math.min(6, drives.length - 6)); if (olderDrives.length === 0) return 'stable'; const recentEfficiency = this.calculateAvgEfficiencyForDrives(recentDrives); const olderEfficiency = this.calculateAvgEfficiencyForDrives(olderDrives); const improvement = ((olderEfficiency - recentEfficiency) / olderEfficiency) * 100; if (improvement > 5) return 'improving'; if (improvement < -5) return 'declining'; return 'stable'; } private calculateAvgEfficiencyForDrives(drives: TessieDrive[]): number { const efficiencies = drives.map(d => { const distance = d.odometer_distance; const battery = d.starting_battery - d.ending_battery; if (distance === 0) return 0; return (battery / 100) * 75 / distance * 100; }).filter(e => e > 0 && e < 50); return this.average(efficiencies); } private calculateWeeklyFrequency(drives: TessieDrive[]): number { if (drives.length === 0) return 0; const sortedDrives = drives.sort((a, b) => a.started_at - b.started_at); const firstDrive = sortedDrives[0]; const lastDrive = sortedDrives[sortedDrives.length - 1]; const timeSpanWeeks = (lastDrive.started_at - firstDrive.started_at) / (7 * 24 * 3600); if (timeSpanWeeks === 0) return drives.length; return Math.round((drives.length / timeSpanWeeks) * 100) / 100; } private calculateWeeklySummary(drives: TessieDrive[], routes: CommuteRoute[]): CommuteAnalysis['weekly_summary'] { // Group drives by day of week const dailyStats = new Map<string, { drives: number; miles: number; efficiency: number }>(); const days = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']; days.forEach(day => { dailyStats.set(day, { drives: 0, miles: 0, efficiency: 0 }); }); drives.forEach(drive => { const day = days[new Date(drive.started_at * 1000).getDay()]; const stats = dailyStats.get(day)!; stats.drives++; stats.miles += drive.odometer_distance; const distance = drive.odometer_distance; const battery = drive.starting_battery - drive.ending_battery; if (distance > 0) { const efficiency = (battery / 100) * 75 / distance * 100; stats.efficiency = (stats.efficiency * (stats.drives - 1) + efficiency) / stats.drives; } }); // Find best and worst days let bestDay = 'N/A'; let worstDay = 'N/A'; let bestEfficiency = Infinity; let worstEfficiency = 0; dailyStats.forEach((stats, day) => { if (stats.drives > 0) { if (stats.efficiency < bestEfficiency && stats.efficiency > 0) { bestEfficiency = stats.efficiency; bestDay = day; } if (stats.efficiency > worstEfficiency) { worstEfficiency = stats.efficiency; worstDay = day; } } }); const totalMiles = drives.reduce((sum, d) => sum + d.odometer_distance, 0); const totalCost = this.calculateCommuteCost(totalMiles); const avgEfficiency = this.calculateAvgEfficiencyForDrives(drives); return { total_drives: drives.length, total_miles: Math.round(totalMiles * 100) / 100, total_cost: Math.round(totalCost * 100) / 100, avg_efficiency: Math.round(avgEfficiency * 100) / 100, best_day: bestDay, worst_day: worstDay }; } private generateCommuteRecommendations(routes: CommuteRoute[], summary: CommuteAnalysis['weekly_summary']): string[] { const recommendations: string[] = []; // Route-specific recommendations routes.forEach(route => { if (route.recent_trend === 'declining') { recommendations.push( `📉 ${route.name}: Efficiency declining recently. Check tire pressure and driving habits.` ); } if (route.avg_efficiency_kwh_per_100mi > 30) { recommendations.push( `⚡ ${route.name}: High energy usage (${route.avg_efficiency_kwh_per_100mi.toFixed(1)} kWh/100mi). Try smoother acceleration and regenerative braking.` ); } if (route.frequency > 10) { const weeklyCost = (route.typical_distance * route.frequency * route.avg_efficiency_kwh_per_100mi / 100) * this.HOME_RATE_PER_KWH; recommendations.push( `🚗 ${route.name}: Your most frequent route (${route.frequency.toFixed(1)}x/week, ~$${weeklyCost.toFixed(2)}/week)` ); } }); // General recommendations if (routes.length > 2) { recommendations.push( `📊 You have ${routes.length} regular routes. Consider optimizing departure times to avoid traffic for better efficiency.` ); } // Best practices recommendations.push( '🔋 Pro tip: Pre-condition your car while plugged in to save battery on commutes.' ); if (summary.best_day !== 'N/A' && summary.worst_day !== 'N/A') { recommendations.push( `📈 Best efficiency day: ${summary.best_day}. Worst: ${summary.worst_day}. Traffic patterns may be affecting your efficiency.` ); } return recommendations; } private calculateCommuteCost(totalMiles: number): number { // Assume 4 mi/kWh efficiency and home charging rates const kwhUsed = totalMiles / 4; return kwhUsed * this.HOME_RATE_PER_KWH; } private calculateAvgEfficiency(routes: CommuteRoute[]): number { if (routes.length === 0) return 0; const total = routes.reduce((sum, route) => sum + route.avg_efficiency_kwh_per_100mi, 0); return Math.round((total / routes.length) * 100) / 100; } private average(numbers: number[]): number { if (numbers.length === 0) return 0; const sum = numbers.reduce((a, b) => a + b, 0); return Math.round((sum / numbers.length) * 100) / 100; } }