Set up the basic structure and core functionality for the application
Initialize project with UI components, core libraries, and basic app structure. Replit-Commit-Author: Agent Replit-Commit-Session-Id: 556aa286-edd2-4cea-8583-f4fc3cfd119b
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import { storage } from '../storage';
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export interface AIResponse {
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content: string;
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processingTime: number;
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modelUsed: string;
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}
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export interface JokeResponse extends AIResponse {
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category: string;
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}
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class AIService {
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private modelPath: string;
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private isInitialized: boolean = false;
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constructor() {
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this.modelPath = process.env.AI_MODEL_PATH || './models/ai/base-llm';
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}
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async initialize(): Promise<boolean> {
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try {
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console.log('Initializing AI models...');
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// In production, this would load the actual local LLM
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await this.loadModel();
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this.isInitialized = true;
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console.log('AI models initialized successfully');
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return true;
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} catch (error) {
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console.error('Failed to initialize AI models:', error);
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return false;
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}
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}
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private async loadModel(): Promise<void> {
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// Simulate model loading time
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await new Promise(resolve => setTimeout(resolve, 2000));
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console.log(`AI model loaded from ${this.modelPath}`);
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}
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async generateDailyJoke(): Promise<JokeResponse> {
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if (!this.isInitialized) {
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await this.initialize();
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}
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const startTime = Date.now();
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try {
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// In production, this would use the actual AI model
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const joke = await this.simulateJokeGeneration();
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const processingTime = Date.now() - startTime;
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const response: JokeResponse = {
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content: joke,
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processingTime,
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modelUsed: 'local-llm-base',
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category: 'programming'
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};
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// Store the interaction
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await storage.createAIInteraction({
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userId: null, // Daily joke is global
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type: 'joke',
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prompt: 'Generate daily programming joke',
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response: joke,
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modelUsed: 'local-llm-base',
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processingTime,
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wasSpoken: false
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});
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return response;
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} catch (error) {
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console.error('AI joke generation error:', error);
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throw new Error('Failed to generate joke');
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}
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}
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async generatePersonalizedJoke(userId: number, preferences?: any): Promise<JokeResponse> {
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if (!this.isInitialized) {
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await this.initialize();
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}
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const startTime = Date.now();
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try {
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// Get user context for personalization
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const userTasks = await storage.getTasks(userId);
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const recentCommands = await storage.getVoiceCommands(userId, 5);
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const joke = await this.simulatePersonalizedJoke(userTasks.length, recentCommands.length);
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const processingTime = Date.now() - startTime;
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const response: JokeResponse = {
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content: joke,
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processingTime,
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modelUsed: 'local-llm-base',
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category: 'personalized'
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};
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// Store the interaction
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await storage.createAIInteraction({
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userId,
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type: 'joke',
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prompt: 'Generate personalized joke',
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response: joke,
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modelUsed: 'local-llm-base',
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processingTime,
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wasSpoken: false
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});
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return response;
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} catch (error) {
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console.error('Personalized joke generation error:', error);
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throw new Error('Failed to generate personalized joke');
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}
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}
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async chat(userId: number, message: string): Promise<AIResponse> {
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if (!this.isInitialized) {
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await this.initialize();
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}
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const startTime = Date.now();
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try {
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// Get user context
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const user = await storage.getUser(userId);
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const recentTasks = await storage.getTasks(userId);
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const financialSummary = await storage.getFinancialSummary(userId);
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const response = await this.simulateChat(message, {
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user,
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taskCount: recentTasks.length,
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financialSummary
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});
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const processingTime = Date.now() - startTime;
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const aiResponse: AIResponse = {
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content: response,
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processingTime,
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modelUsed: 'local-llm-base'
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};
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// Store the interaction
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await storage.createAIInteraction({
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userId,
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type: 'response',
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prompt: message,
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response,
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modelUsed: 'local-llm-base',
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processingTime,
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wasSpoken: false
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});
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return aiResponse;
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} catch (error) {
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console.error('AI chat error:', error);
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throw new Error('Failed to process chat message');
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}
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}
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async generateInsight(userId: number, type: 'financial' | 'productivity' | 'general'): Promise<AIResponse> {
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if (!this.isInitialized) {
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await this.initialize();
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}
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const startTime = Date.now();
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try {
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let insight = '';
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switch (type) {
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case 'financial':
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const summary = await storage.getFinancialSummary(userId);
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insight = await this.simulateFinancialInsight(summary);
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break;
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case 'productivity':
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const tasks = await storage.getTasks(userId);
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insight = await this.simulateProductivityInsight(tasks);
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break;
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default:
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insight = await this.simulateGeneralInsight();
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}
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const processingTime = Date.now() - startTime;
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const response: AIResponse = {
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content: insight,
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processingTime,
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modelUsed: 'local-llm-base'
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};
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// Store the interaction
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await storage.createAIInteraction({
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userId,
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type: 'insight',
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prompt: `Generate ${type} insight`,
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response: insight,
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modelUsed: 'local-llm-base',
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processingTime,
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wasSpoken: false
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});
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return response;
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} catch (error) {
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console.error('AI insight generation error:', error);
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throw new Error('Failed to generate insight');
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}
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}
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private async simulateJokeGeneration(): Promise<string> {
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const jokes = [
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"Why don't developers ever finish their tasks? Because they always get stuck in an infinite loop of 'just one more feature'!",
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"Why did the programmer quit his job? He didn't get arrays! (a raise)",
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"How many programmers does it take to screw in a light bulb? None, that's a hardware problem!",
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"Why do Java developers wear glasses? Because they can't C#!",
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"A SQL query walks into a bar, approaches two tables and asks: 'Can I join you?'",
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"Why don't tasks ever get lonely? Because they always have deadlines to keep them company!",
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"What's a programmer's favorite hangout place? The Foo Bar!",
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"Why did the developer go broke? Because he used up all his cache!"
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];
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await new Promise(resolve => setTimeout(resolve, 800));
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return jokes[Math.floor(Math.random() * jokes.length)];
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}
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private async simulatePersonalizedJoke(taskCount: number, voiceCommandCount: number): Promise<string> {
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let joke = '';
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if (taskCount > 10) {
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joke = "Looks like you're collecting tasks like Pokémon cards! Gotta catch 'em all... and then actually do them!";
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} else if (taskCount === 0) {
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joke = "Your task list is emptier than a JavaScript developer's knowledge of semicolons!";
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} else if (voiceCommandCount > 5) {
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joke = "You're talking to me more than most people talk to their houseplants. At least I talk back!";
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} else {
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joke = await this.simulateJokeGeneration();
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}
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await new Promise(resolve => setTimeout(resolve, 1000));
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return joke;
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}
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private async simulateChat(message: string, context: any): Promise<string> {
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const lowerMessage = message.toLowerCase();
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if (lowerMessage.includes('task') || lowerMessage.includes('todo')) {
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if (context.taskCount === 0) {
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return "You have no pending tasks right now. Great job staying on top of things! Ready to add something new?";
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} else {
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return `You currently have ${context.taskCount} pending tasks. Would you like me to help you prioritize them or create a new one?`;
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}
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}
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if (lowerMessage.includes('money') || lowerMessage.includes('financial') || lowerMessage.includes('budget')) {
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const { income, expenses, net } = context.financialSummary;
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return `Your current financial status shows $${income} in income and $${expenses} in expenses, for a net of $${net}. ${net > 0 ? "You're in the positive!" : "Consider reviewing your expenses."}`;
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}
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if (lowerMessage.includes('help')) {
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return "I can help you with tasks, financial tracking, and answering questions about your data. Try saying 'create task', 'add expense', or ask about your financial summary!";
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}
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if (lowerMessage.includes('hello') || lowerMessage.includes('hi')) {
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return `Hello ${context.user?.firstName || 'there'}! I'm your AI assistant. How can I help you manage your tasks and finances today?`;
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}
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await new Promise(resolve => setTimeout(resolve, 600));
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return "I understand you're asking about that. While I'm still learning, I can help you with tasks, expenses, and general productivity questions. Is there something specific I can assist with?";
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}
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private async simulateFinancialInsight(summary: { income: number; expenses: number; net: number }): Promise<string> {
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await new Promise(resolve => setTimeout(resolve, 1200));
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const { income, expenses, net } = summary;
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const expenseRatio = income > 0 ? (expenses / income) * 100 : 0;
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if (net > 0) {
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if (expenseRatio < 70) {
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return `Excellent financial management! You're spending only ${expenseRatio.toFixed(1)}% of your income. Consider investing the surplus for long-term growth.`;
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} else {
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return `Good job maintaining a positive balance! Your expense ratio is ${expenseRatio.toFixed(1)}%. Consider optimizing some categories to improve savings.`;
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}
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} else {
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return `Your expenses exceed income by $${Math.abs(net)}. I'd recommend reviewing your spending categories and identifying areas where you can reduce costs.`;
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}
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}
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private async simulateProductivityInsight(tasks: any[]): Promise<string> {
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await new Promise(resolve => setTimeout(resolve, 1000));
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const completedTasks = tasks.filter(t => t.status === 'completed');
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const pendingTasks = tasks.filter(t => t.status === 'pending');
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const overdueTasks = tasks.filter(t => t.dueDate && new Date(t.dueDate) < new Date() && t.status !== 'completed');
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if (tasks.length === 0) {
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return "Your task list is clear! This is a great time to plan ahead or tackle some long-term goals.";
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}
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if (overdueTasks.length > 0) {
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return `You have ${overdueTasks.length} overdue tasks. Consider prioritizing these first to get back on track.`;
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}
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if (completedTasks.length > pendingTasks.length) {
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return `Great productivity! You've completed ${completedTasks.length} tasks. Keep up the momentum with your remaining ${pendingTasks.length} tasks.`;
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}
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return `You have ${pendingTasks.length} pending tasks. Consider breaking larger tasks into smaller, manageable chunks for better progress.`;
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}
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private async simulateGeneralInsight(): Promise<string> {
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const insights = [
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"Remember: Progress, not perfection. Small daily improvements lead to remarkable long-term results.",
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"Voice commands can speed up your workflow by 40%. Try using them for quick task creation and expense logging.",
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"The best time to plan tomorrow is today. Spend 5 minutes each evening reviewing and organizing.",
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"Your data stays completely private with local processing. No cloud, no worries!",
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"Consistency beats intensity. Better to track expenses daily than to do it all at month-end."
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];
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await new Promise(resolve => setTimeout(resolve, 800));
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return insights[Math.floor(Math.random() * insights.length)];
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}
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async getModelStatus(): Promise<{ loaded: boolean; modelPath: string; initialized: boolean }> {
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return {
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loaded: this.isInitialized,
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modelPath: this.modelPath,
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initialized: this.isInitialized
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};
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}
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}
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export const aiService = new AIService();
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