OBI Platform

A multifunctional system that includes a Telegram bot, AI API, web interface, and PostgreSQL database – all containerized with Docker.

📦 Tech Stack

• Python
• Docker + Docker Compose
• PostgreSQL
• FastAPI
• Telegram Bot API

🚀 Features

• Telegram bot integration
• AI processing API
• Web client interface
• PostgreSQL database
• Modular architecture with Docker services

📁 Project Structure

.
├── admin/              # Admin panel (currently commented out)
├── bots/               # Telegram & WhatsApp bots
├── core/               # Core logic
├── services/           # AI API and DB init
├── web/                # Web interface
├── adapters/           # Adapter components
├── .env                # Environment variables
├── docker-compose.yml  # Docker Compose config

🛠️ Local Setup (Using Docker)

1. Clone the Repository

git clone https://github.com/DATAGATEWAYS/obi
cd obi

2. Ensure Docker & Docker Compose are Installed

This script will automatically download Docker

chmod +x install_docker.sh
./install_docker.sh

3. Create an .env file

Ensure the .env file exists and contains required environment variables. You can use the provided one or customize as needed.

4. Build and Start the Services

docker compose up --build

This will spin up:

• Telegram bot
• AI API (on port 8000)
• PostgreSQL database
• Web interface

🌐 Deployment on DigitalOcean

Option 1: Using Droplet (Recommended for MVP)

1. Create a Droplet with Ubuntu 22.04
2. SSH into your server:

ssh root@your_droplet_ip

3. Install Docker & Docker Compose:

apt update && apt install -y docker.io curl
curl -sSL https://get.docker.com | sh

4. Upload your project:

git clone https://github.com/DATAGATEWAYS/obi
cd obi

Or use scp to upload your ZIP archive.

5. Start services:

docker compose up --build

to shut down services use:

docker compose down

Option 2: DigitalOcean App Platform (Optional)

This approach supports Git-based deployments, but requires splitting services and may be less flexible.

💡 Recommended Droplet Plan for MVP

• Basic Plan: 1 vCPU, 1 GB RAM, 25 GB SSD — $5/month
  • Ideal for lightweight bots and APIs
• Standard Plan: 2 vCPU, 2 GB RAM — $10/month
  • Recommended if AI processing is heavy or for future scaling

📌 Notes

• WhatsApp bot and Admin panel are currently commented out in docker-compose.yml
• Make sure to review and adjust environment variables in .env
• Consider setting up a domain name and HTTPS using Nginx or Caddy if exposed publicly (for obi website)

✅ TODO

• Enable WhatsApp bot
• Enable Admin panel
• Add monitoring/logging (e.g., Prometheus, Grafana)

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MIT License