FastAPI Image Processing Service

This project is a modular, loosely coupled FastAPI backend that supports:

• Multiple database backends (PostgreSQL or MongoDB)
• Multiple storage backends (Local or S3/MinIO)
• Pluggable image processing services (Pillow and OpenCV)
• REST and GraphQL APIs

Setup

1. Copy .env.example to .env and adjust configuration as needed.
2. Install requirements:

   pip install -r requirements/dev.txt

3. Run migrations and seed data:

   alembic upgrade head

4. Run the server:

   uvicorn app.main:app --reload

Usage

REST API

The REST API is mounted at /rest and supports the following endpoints:

• /rest/process-image: Processes an image using the configured mockup service.

GraphQL API

The GraphQL API is mounted at /graphql and supports the following queries:

• /graphql/templates: Returns a list of templates.

Testing

To run tests, use the following command:

pytest

Deployment

To deploy the application, you can use Docker Compose. Create a docker-compose.override.yml file and adjust the configuration as needed. Then, run:

docker-compose up -d

License

This project is licensed under the MIT License.

Acknowledgements

Developed by Olusegun Ibraheem.