Automated Action 545563e776 Implement comprehensive real-time chat API with NestJS
- Complete NestJS TypeScript implementation with WebSocket support
- Direct messaging (DM) and group chat functionality
- End-to-end encryption with AES encryption and key pairs
- Media file support (images, videos, audio, documents) up to 100MB
- Push notifications with Firebase Cloud Messaging integration
- Mention alerts and real-time typing indicators
- User authentication with JWT and Passport
- SQLite database with TypeORM entities and relationships
- Comprehensive API documentation with Swagger/OpenAPI
- File upload handling with secure access control
- Online/offline status tracking and presence management
- Message editing, deletion, and reply functionality
- Notification management with automatic cleanup
- Health check endpoint for monitoring
- CORS configuration for cross-origin requests
- Environment-based configuration management
- Structured for Flutter SDK integration

Features implemented:
 Real-time messaging with Socket.IO
 User registration and authentication
 Direct messages and group chats
 Media file uploads and management
 End-to-end encryption
 Push notifications
 Mention alerts
 Typing indicators
 Message read receipts
 Online status tracking
 File access control
 Comprehensive API documentation

Ready for Flutter SDK development and production deployment.
2025-06-21 17:13:05 +00:00

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// Copyright (c) 2013 Google Inc. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
// This file is used to generate an empty .pdb -- with a 4KB pagesize -- that is
// then used during the final link for modules that have large PDBs. Otherwise,
// the linker will generate a pdb with a page size of 1KB, which imposes a limit
// of 1GB on the .pdb. By generating an initial empty .pdb with the compiler
// (rather than the linker), this limit is avoided. With this in place PDBs may
// grow to 2GB.
//
// This file is referenced by the msvs_large_pdb mechanism in MSVSUtil.py.