Schedule for колледж связи пгути

Reskin of https://lk.ks.psuti.ru/ since it lacks mobile support.

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Tech stack & features

• React 19.2.0 with Next.js 16.0.3 (pages router)
• Tailwind CSS
• @shadcn/ui components (built with Radix UI)
• JSDOM for parsing scraped pages, rehydration strategy for cache
• TypeScript 5.6.0 with types for each package
• Telegram Bot API (via [node-telegram-bot-api]) for parsing failure notifications
• Custom js parser for teachers' photos
• Accessability & tab navigation support
• Dark theme with automatic switching based on system settings

Tools used: pnpm, eslint, react-icons. Deployed with Netlify and supported by Cloudflare.

Development

Prerequisites

• Node.js 20+ (see .nvmrc)
• npm 10+ or pnpm

Local development

# Install dependencies
npm install
# or
pnpm install

# Run development server
npm run dev
# or
pnpm dev

Docker deployment

Build and run with Docker

# Build the image
docker build -t kspguti-schedule .

# Run the container
docker run -p 3000:3000 kspguti-schedule

Using Docker Compose

# Build and start
docker-compose up -d

# View logs
docker-compose logs -f

# Stop
docker-compose down

Environment variables: Edit docker-compose.yml to add your environment variables:

• PROXY_URL - URL for schedule parsing
• PARSING_FAILURE_NOTIFICATIONS_TELEGRAM_BOTAPI_TOKEN - Telegram bot token
• PARSING_FAILURE_NOTIFICATIONS_TELEGRAM_CHAT_ID - Telegram chat ID

Production deployment

Netlify

The project includes netlify.toml for automatic deployment configuration.

Docker

The Dockerfile uses Next.js standalone output for optimized production builds. The image includes:

• Multi-stage build for smaller image size
• Non-root user for security
• Health checks
• Production optimizations

System installation (Linux systemd)

Install the application directly on a Linux system as a systemd service:

Prerequisites:

• Linux system with systemd
• Node.js 20+ installed
• Root/sudo access
• ICU library (for Node.js):
  • Arch Linux: sudo pacman -S icu
  • Ubuntu/Debian: sudo apt-get install libicu-dev
  • Fedora/RHEL/CentOS: sudo dnf install libicu or sudo yum install libicu

Installation:

# Clone the repository
git clone <repository-url>
cd kspguti-schedule

# Run the installation script
sudo ./scripts/install.sh

The installation script will:

• Check Node.js and npm versions
• Copy files to /opt/kspguti-schedule
• Install dependencies
• Build the production version
• Install and enable systemd service

Configuration:

1. Edit environment variables:

sudo nano /opt/kspguti-schedule/.env

The installation script will:

• Copy .env file from source directory if it exists
• Preserve existing .env in installation directory if it already exists
• Create .env from .env.production.example if no .env file is found

2. Update systemd service if needed:

sudo nano /etc/systemd/system/kspguti-schedule.service

Managing the service:

Use the management script for easy service control:

# Start the service
sudo ./scripts/manage.sh start

# Stop the service
sudo ./scripts/manage.sh stop

# Restart the service
sudo ./scripts/manage.sh restart

# Check status
./scripts/manage.sh status

# View logs
./scripts/manage.sh logs
./scripts/manage.sh logs -f  # Follow logs

# Update application
sudo ./scripts/manage.sh update

# Enable/disable autostart
sudo ./scripts/manage.sh enable
sudo ./scripts/manage.sh disable

Or use systemctl directly:

sudo systemctl start kspguti-schedule
sudo systemctl stop kspguti-schedule
sudo systemctl restart kspguti-schedule
sudo systemctl status kspguti-schedule
sudo journalctl -u kspguti-schedule -f

Service configuration:

• Installation directory: /opt/kspguti-schedule
• Service user: www-data
• Port: 3000 (configurable via environment variables)
• Logs: journalctl -u kspguti-schedule

Environment variables:

See .env.production.example or .example.env for available options. The application uses .env file in production:

• PROXY_URL - URL for schedule parsing (optional)
• PARSING_FAILURE_NOTIFICATIONS_TELEGRAM_BOTAPI_TOKEN - Telegram bot token (optional)
• PARSING_FAILURE_NOTIFICATIONS_TELEGRAM_CHAT_ID - Telegram chat ID (optional)

Other platforms

The project can be deployed to any platform supporting Node.js 20+:

• Vercel
• Railway
• DigitalOcean App Platform
• AWS App Runner
• Any Docker-compatible platform