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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apps/server/src/repositories/mongo/MongoChatRepository.ts
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23
apps/server/src/repositories/mongo/MongoChatRepository.ts
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import { ChatMessage, Conversation, CreateMessageDTO, GetMessagesOptions } from '@caldav/shared';
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import { ChatRepository } from '../../services/interfaces';
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import { ChatMessageModel, ConversationModel } from './models';
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export class MongoChatRepository implements ChatRepository {
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// Conversations
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async getConversationsByUser(userId: string): Promise<Conversation[]> {
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throw new Error('Not implemented');
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}
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async createConversation(userId: string): Promise<Conversation> {
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throw new Error('Not implemented');
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}
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// Messages (cursor-based pagination)
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async getMessages(conversationId: string, options?: GetMessagesOptions): Promise<ChatMessage[]> {
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throw new Error('Not implemented');
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}
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async createMessage(conversationId: string, message: CreateMessageDTO): Promise<ChatMessage> {
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throw new Error('Not implemented');
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}
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}
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