aibilly_backend_code/RUNNING.md
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# Running the AI-Detection Project
This project is a FastAPI-based AI application for detection and RAG (Retrieval-Augmented Generation).
## Prerequisites
- **Python 3.11+** (for local setup)
- **Docker and Docker Compose** (for containerized setup - Recommended)
- **PostgreSQL** and **Redis** (if running locally)
---
## 🚀 Option 1: Running with Docker (Recommended)
The easiest way to run the project is using Docker Compose, which sets up the application, database, and Redis automatically.
1. **Configure Environment Variables**:
Copy the example environment file and fill in your keys:
```bash
cp .env.example .env
```
*Note: Open `.env` and provide your `OPENAI_API_KEY` or `ANTHROPIC_API_KEY` if using AI features.*
2. **Start the Services**:
```bash
docker-compose up --build
```
3. **Access the API**:
- **API Documentation (Swagger UI)**: [http://localhost:8000/docs](http://localhost:8000/docs)
- **Health Check**: [http://localhost:8000/health](http://localhost:8000/health)
---
## 🛠️ Option 2: Running Locally
If you prefer to run the application directly on your machine:
1. **Create a Virtual Environment**:
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
2. **Install Dependencies**:
```bash
pip install -r requirements.txt
```
3. **Configure Environment Variables**:
Copy `.env.example` to `.env` and update the settings:
- Set `DATABASE_URL` to point to your local PostgreSQL instance (e.g., `postgresql://user:pass@localhost:5432/dbname`).
- Set `REDIS_HOST` to `localhost`.
4. **Run the Application**:
```bash
uvicorn main:app --host 0.0.0.0 --port 8000 --reload
```
---
## 📂 Project Structure Highlights
- `main.py`: Entry point of the FastAPI application.
- `src/config/`: Configuration management and startup migrations.
- `src/services/`: Core business logic (RAG, JWT, etc.).
- `src/migrations/`: Database schema definitions.
- `docker-compose.yml`: Multi-container orchestration.
## 🧪 Testing
To run tests, ensure dependencies are installed and run:
```bash
pytest
```