implement backend skeleton with MongoDB and Claude AI integration
- Add controllers (Auth, Chat, Event) with placeholder implementations - Add services (Auth, Chat, Event) with business logic interfaces - Add repositories with MongoDB/Mongoose models (User, Event, Chat) - Add middleware for JWT authentication - Add Claude AI adapter implementing AIProvider interface - Add utility modules for JWT and password handling - Add shared types and DTOs for User, CalendarEvent, ChatMessage - Configure routes with proper endpoint structure - Update app.ts with dependency injection setup - Add required dependencies: mongoose, bcrypt, jsonwebtoken, @anthropic-ai/sdk
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30
apps/server/src/services/ChatService.ts
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30
apps/server/src/services/ChatService.ts
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import { ChatMessage, ChatResponse, SendMessageDTO, CalendarEvent, ConversationSummary, GetMessagesOptions } from '@caldav/shared';
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import { ChatRepository, EventRepository, AIProvider } from './interfaces';
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export class ChatService {
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constructor(
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private chatRepo: ChatRepository,
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private eventRepo: EventRepository,
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private aiProvider: AIProvider
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) {}
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async processMessage(userId: string, data: SendMessageDTO): Promise<ChatResponse> {
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throw new Error('Not implemented');
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}
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async confirmEvent(userId: string, conversationId: string, messageId: string): Promise<CalendarEvent> {
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throw new Error('Not implemented');
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}
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async rejectEvent(conversationId: string, messageId: string): Promise<void> {
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throw new Error('Not implemented');
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}
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async getConversations(userId: string): Promise<ConversationSummary[]> {
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throw new Error('Not implemented');
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}
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async getConversation(userId: string, conversationId: string, options?: GetMessagesOptions): Promise<ChatMessage[]> {
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throw new Error('Not implemented');
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}
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}
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