TCPDashboard/docs/setup.md

Crypto Trading Bot Dashboard - Setup Guide

This guide will help you set up the Crypto Trading Bot Dashboard on a new machine from scratch.

Prerequisites

Required Software

1. Python 3.12+

   • Download from python.org
   • Ensure Python is added to PATH

2. UV Package Manager

   # Windows (PowerShell)
   powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
   
   # macOS/Linux
   curl -LsSf https://astral.sh/uv/install.sh | sh
   

3. Docker Desktop

   • Download from docker.com
   • Ensure Docker is running before proceeding

4. Git

   • Download from git-scm.com

System Requirements

• RAM: Minimum 4GB, Recommended 8GB+
• Storage: At least 2GB free space
• OS: Windows 10/11, macOS 10.15+, or Linux

Project Setup

1. Clone the Repository

git clone <repository-url>
cd TCPDashboard

2. Environment Configuration

Create the environment file from the template:

# Windows
Copy-Item env.template .env

# macOS/Linux  
cp env.template .env

Important:

• The .env file is REQUIRED - the application will not work without it
• The .env file contains secure passwords for database and Redis
• Never commit the .env file to version control
• All credentials must be loaded from environment variables - no hardcoded passwords exist in the codebase

Current configuration in .env:

POSTGRES_PORT=5434
POSTGRES_PASSWORD=your_secure_password_here
REDIS_PASSWORD=your_redis_password_here

3. Configure Custom Ports (Optional)

If you have other PostgreSQL instances running, the default configuration uses port 5434 to avoid conflicts. You can modify these in your .env file.

Database Setup

1. Start Database Services

Start PostgreSQL with TimescaleDB and Redis using Docker Compose:

docker-compose up -d

This will:

• Create a PostgreSQL database with TimescaleDB extension on port 5434
• Create a Redis instance on port 6379
• Set up persistent volumes for data storage
• Configure password authentication
• Automatically initialize the database schema using the clean schema (without TimescaleDB hypertables for simpler setup)

2. Verify Services are Running

Check container status:

docker-compose ps

Expected output:

NAME                 IMAGE                               COMMAND                  SERVICE    CREATED          STATUS                    PORTS
dashboard_postgres   timescale/timescaledb:latest-pg15   "docker-entrypoint.s…"   postgres   X minutes ago    Up X minutes (healthy)   0.0.0.0:5434->5432/tcp
dashboard_redis      redis:7-alpine                      "docker-entrypoint.s…"   redis      X minutes ago    Up X minutes (healthy)   0.0.0.0:6379->6379/tcp

3. Verify Database Schema

The database schema is automatically initialized when containers start. You can verify it worked:

docker exec dashboard_postgres psql -U dashboard -d dashboard -c "\dt"

Expected output should show tables: bots, bot_performance, market_data, raw_trades, signals, supported_exchanges, supported_timeframes, trades

4. Test Database Initialization Script (Optional)

You can also test the database initialization using the Python script:

uv run .\scripts\init_database.py

This script will:

• Load environment variables from .env file
• Test database connection
• Create all tables using SQLAlchemy models
• Verify all expected tables exist
• Show connection pool status

Application Setup

1. Install Python Dependencies

uv sync

This will:

• Create a virtual environment in .venv/
• Install all required dependencies
• Set up the project for development

2. Activate Virtual Environment

# Windows
uv run <command>

# Or activate manually
.venv\Scripts\Activate.ps1

# macOS/Linux
source .venv/bin/activate

3. Verify Database Schema (Optional)

The database schema is automatically initialized when Docker containers start. You can verify it's working:

# Check if all tables exist
docker exec dashboard_postgres psql -U dashboard -d dashboard -c "SELECT table_name FROM information_schema.tables WHERE table_schema = 'public' ORDER BY table_name;"

# Verify sample data was inserted
docker exec dashboard_postgres psql -U dashboard -d dashboard -c "SELECT * FROM supported_timeframes;"

Running the Application

1. Start the Dashboard

uv run python main.py

2. Access the Application

Open your browser and navigate to:

• Local: http://localhost:8050
• Network: http://0.0.0.0:8050 (if accessible from other machines)

Configuration

Environment Variables

Key configuration options in .env:

# Database Configuration
POSTGRES_HOST=localhost
POSTGRES_PORT=5434
POSTGRES_DB=dashboard
POSTGRES_USER=dashboard
POSTGRES_PASSWORD=your_secure_password_here

# Redis Configuration  
REDIS_HOST=localhost
REDIS_PORT=6379
REDIS_PASSWORD=your_redis_password_here

# Application Configuration
DASH_HOST=0.0.0.0
DASH_PORT=8050
DEBUG=true

# OKX API Configuration (for real trading)
OKX_API_KEY=your_okx_api_key_here
OKX_SECRET_KEY=your_okx_secret_key_here
OKX_PASSPHRASE=your_okx_passphrase_here
OKX_SANDBOX=true

Port Configuration

If you need to change ports due to conflicts:

1. PostgreSQL Port: Update POSTGRES_PORT in .env and the port mapping in docker-compose.yml
2. Redis Port: Update REDIS_PORT in .env and docker-compose.yml
3. Dashboard Port: Update DASH_PORT in .env

Development Workflow

1. Daily Development Setup

# Start databases
docker-compose up -d

# Start development server  
uv run python main.py

2. Stop Services

# Stop application: Ctrl+C in terminal

# Stop databases
docker-compose down

3. Reset Database (if needed)

# WARNING: This will delete all data
docker-compose down -v
docker-compose up -d

Testing

Run Unit Tests

# Run all tests
uv run pytest

# Run specific test file
uv run pytest tests/test_database.py

# Run with coverage
uv run pytest --cov=. --cov-report=html

Test Database Connection

Create a quick test script:

# test_connection.py
import os
import psycopg2
import redis
from dotenv import load_dotenv

load_dotenv()

# Test PostgreSQL
try:
    conn = psycopg2.connect(
        host=os.getenv('POSTGRES_HOST'),
        port=os.getenv('POSTGRES_PORT'),
        database=os.getenv('POSTGRES_DB'),
        user=os.getenv('POSTGRES_USER'),
        password=os.getenv('POSTGRES_PASSWORD')
    )
    print("✅ PostgreSQL connection successful!")
    conn.close()
except Exception as e:
    print(f"❌ PostgreSQL connection failed: {e}")

# Test Redis
try:
    r = redis.Redis(
        host=os.getenv('REDIS_HOST'),
        port=int(os.getenv('REDIS_PORT')),
        password=os.getenv('REDIS_PASSWORD')
    )
    r.ping()
    print("✅ Redis connection successful!")
except Exception as e:
    print(f"❌ Redis connection failed: {e}")

Run test:

uv run python test_connection.py

Troubleshooting

Common Issues

1. Port Already in Use

Error: Port 5434 is already allocated

Solution:

• Change POSTGRES_PORT in .env to a different port (e.g., 5435)
• Update docker-compose.yml port mapping accordingly
• Restart containers: docker-compose down && docker-compose up -d

2. Docker Permission Issues

Error: permission denied while trying to connect to the Docker daemon

Solution:

• Ensure Docker Desktop is running
• On Linux: Add user to docker group: sudo usermod -aG docker $USER
• Restart terminal/session

3. Database Connection Failed

Error: password authentication failed

Solution:

• Ensure .env password matches docker-compose.yml
• Reset database: docker-compose down -v && docker-compose up -d
• Wait for database initialization (30-60 seconds)

4. Database Schema Not Created

Error: Tables don't exist or \dt shows no tables

Solution:

# Check initialization logs
docker-compose logs postgres

# Use the Python initialization script to create/verify schema
uv run .\scripts\init_database.py

# Verify tables were created
docker exec dashboard_postgres psql -U dashboard -d dashboard -c "\dt"

5. Application Dependencies Issues

Error: Package installation failures

Solution:

# Clear UV cache
uv cache clean

# Reinstall dependencies
rm -rf .venv
uv sync

Log Files

View service logs:

# All services
docker-compose logs

# Specific service
docker-compose logs postgres
docker-compose logs redis

# Follow logs in real-time
docker-compose logs -f

Database Management

Backup Database

docker exec dashboard_postgres pg_dump -U dashboard dashboard > backup.sql

Restore Database

docker exec -i dashboard_postgres psql -U dashboard dashboard < backup.sql

Access Database CLI

docker exec -it dashboard_postgres psql -U dashboard -d dashboard

Access Redis CLI

docker exec -it dashboard_redis redis-cli -a $env:REDIS_PASSWORD

Security Notes

1. Never commit .env file to version control
2. Change default passwords in production environments
3. Use strong passwords for production deployments
4. Enable SSL/TLS for production database connections
5. Restrict network access in production environments

Support

If you encounter issues not covered in this guide:

1. Check the project documentation
2. Review GitHub issues
3. Contact the development team

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Last Updated: 2024-05-30
Version: 1.0
Tested On: Windows 11, Docker Desktop 4.x