
- 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.
40 lines
998 B
JSON
40 lines
998 B
JSON
{
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"name": "fast-levenshtein",
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"version": "2.0.6",
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"description": "Efficient implementation of Levenshtein algorithm with locale-specific collator support.",
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"main": "levenshtein.js",
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"files": [
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"levenshtein.js"
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],
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"scripts": {
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"build": "grunt build",
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"prepublish": "npm run build",
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"benchmark": "grunt benchmark",
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"test": "mocha"
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},
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"devDependencies": {
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"chai": "~1.5.0",
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"grunt": "~0.4.1",
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"grunt-benchmark": "~0.2.0",
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"grunt-cli": "^1.2.0",
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"grunt-contrib-jshint": "~0.4.3",
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"grunt-contrib-uglify": "~0.2.0",
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"grunt-mocha-test": "~0.2.2",
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"grunt-npm-install": "~0.1.0",
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"load-grunt-tasks": "~0.6.0",
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"lodash": "^4.0.1",
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"mocha": "~1.9.0"
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},
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"repository": {
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"type": "git",
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"url": "https://github.com/hiddentao/fast-levenshtein.git"
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},
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"keywords": [
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"levenshtein",
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"distance",
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"string"
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],
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"author": "Ramesh Nair <ram@hiddentao.com> (http://www.hiddentao.com/)",
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"license": "MIT"
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}
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