297e94593f
Implement a comprehensive web-based dashboard for managing Telegram and Discord bots with real-time monitoring, process control, and beautiful UI. Backend (FastAPI): - Complete REST API with OpenAPI documentation - WebSocket support for real-time log streaming and statistics - SQLAlchemy models for bots, logs, and users - JWT-based authentication system - Process management with subprocess and psutil - Auto-restart functionality with configurable backoff - System and bot resource monitoring (CPU, RAM, network) - Comprehensive error handling and logging Frontend (Next.js 14 + TypeScript): - Modern React application with App Router - shadcn/ui components with Tailwind CSS - TanStack Query for data fetching and caching - Real-time WebSocket integration - Responsive design for mobile, tablet, and desktop - Beautiful dark theme with glassmorphism effects - Bot cards with status badges and controls - System statistics dashboard Example Bots: - Telegram userbot using Telethon - Telegram bot using python-telegram-bot - Discord bot using discord.py - Full command examples and error handling Infrastructure: - Docker and Docker Compose configurations - Multi-stage builds for optimal image sizes - Nginx reverse proxy with WebSocket support - Production and development compose files - Rate limiting and security headers Documentation: - Comprehensive README with setup instructions - API documentation examples - Configuration guides - Troubleshooting section - Makefile for common commands Features: - Start/stop/restart bots with one click - Real-time log streaming via WebSocket - Live system and bot statistics - Auto-restart on crashes - Bot configuration management - Process monitoring and resource tracking - Search and filter bots - Responsive UI with loading states - Toast notifications for all actions Security: - JWT token-based authentication - Password hashing with bcrypt - CORS configuration - Environment variable management - Input validation and sanitization - Rate limiting in nginx - Security headers configured
86 lines
1.8 KiB
Makefile
86 lines
1.8 KiB
Makefile
# Makefile for Bot Management Dashboard
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.PHONY: help dev build up down logs clean install test format lint
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# Default target
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help:
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@echo "Bot Management Dashboard - Available commands:"
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@echo ""
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@echo " make dev - Start development environment"
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@echo " make build - Build Docker images"
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@echo " make up - Start all services"
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@echo " make down - Stop all services"
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@echo " make logs - View logs"
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@echo " make clean - Clean up containers and volumes"
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@echo " make install - Install dependencies"
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@echo " make test - Run tests"
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@echo " make format - Format code"
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@echo " make lint - Lint code"
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# Development
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dev:
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docker-compose up
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# Build images
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build:
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docker-compose build
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# Start services
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up:
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docker-compose up -d
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# Stop services
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down:
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docker-compose down
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# View logs
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logs:
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docker-compose logs -f
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# Clean up
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clean:
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docker-compose down -v
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rm -rf backend/__pycache__
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rm -rf backend/app/__pycache__
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rm -rf frontend/.next
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rm -rf frontend/node_modules
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rm -rf backend/venv
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# Install dependencies
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install:
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cd backend && pip install -r requirements.txt
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cd frontend && npm install
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cd bots/examples && pip install -r requirements.txt
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# Run tests
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test:
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cd backend && pytest
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cd frontend && npm run test
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# Format code
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format:
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cd backend && black app/
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cd frontend && npm run format
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# Lint code
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lint:
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cd backend && flake8 app/
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cd frontend && npm run lint
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# Database
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db-init:
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cd backend && python -c "from app.database import init_db; init_db()"
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# Production
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prod-build:
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docker-compose -f docker-compose.prod.yml build
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prod-up:
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docker-compose -f docker-compose.prod.yml up -d
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prod-down:
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docker-compose -f docker-compose.prod.yml down
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prod-logs:
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docker-compose -f docker-compose.prod.yml logs -f
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