FastAPI Genesis 🧬 - Project Template Generator 🚀

Simple FastAPI project template with Docker, Alembic, PostgreSQL, Poetry and pre-commit to kickstart your new projects.

How to use it 🤓

Go to the directory where you want to create your project and run:

pip install cookiecutter
cookiecutter https://github.com/Lolomgrofl/fastapi-genesis.git

What's included in the template 🎉

• Here is an explanation of the directory structure of the template:

├── .github                 <- GitHub deployment workflow
│
├── alembic                 <- Alembic migrations
│
├── app                     <- Source code of the application (the main package)
│   ├── daos                <- Data Access Objects (DAOs) to interact with the database
│   ├── models              <- SQLAlchemy models (the database schema)
│   ├── routers             <- FastAPI routers (endpoints)
│   ├── schemas             <- Pydantic schemas for request and response models
│   ├── services            <- Business logic layer (services)
│   ├── db.py               <- Database initialization and session management code
│   ├── main.py             <- FastAPI application instance and startup code
│   └── settings.py         <- Settings management code (using pydantic settings)
│
├── scripts                 <- Scripts to perform various tasks like alembic migrations, etc.
│
├── static                  <- Static files like images, documents, etc.
│
├── tests                   <- Unit tests, one subdirectory per application module
│
├── .env                    <- Environment variables. Should not be committed to VCS
│
├── .gitignore              <- Files and directories to be ignored by git
│
├── .pre-commit-config.yaml <- Configuration of pre-commit hooks (see https://pre-commit.com/)
│
├── alembic.ini             <- Alembic configuration file
│
├── docker-compose.yml      <- Docker compose configuration file
│
├── Dockerfile              <- Dockerfile for building the image of the application
│
├── Makefile                <- Makefile with useful commands for development and project setup
│
├── pyproject.toml          <- Python dependencies for Poetry (see https://python-poetry.org/)
│
├── README.md               <- File with useful information about the project and how to use it

Features 🧩

• Docker and docker-compose for local development
• FastAPI application with uvicorn server
• AsyncPG for asynchronous access to PostgreSQL
• Pydantic for data validation
• Poetry for managing Python dependencies
• Alembic for database migrations
• Pre-commit hooks for code formatting and linting
• JWT token authentication
• SQLAlchemy models
• CORS (Cross Origin Resource Sharing)
• GitOps ( GitHub Workflows)

User flow as an example of how to use the template 💡

• It consists of the following steps:

    - Register a new user
    - Login with the new user
    - Change password
    - Get all users
    - Delete user by id
    - Delete all users

• This following example will show you the pattern and good practices to follow in order to continue developing your application.

Cookiecutter parameters explained 🍪

• repo_name: Name of the project repository (e.g. my_project)
• app_container_name: Name of the Docker container for the FastAPI application server inside docker-compose.yaml file
• app_service_port: Port on the host machine to which the FastAPI application will be exposed inside docker-compose.yaml file and Dockerfile
• db_container_name: Name of the Docker container for the PostgreSQL database server inside docker-compose.yaml file
• db_service_port: Port on the host machine to which the PostgreSQL database server will be exposed inside docker-compose.yaml file
• pgadmin_container_name: Name of the Docker container for the pgAdmin web interface inside docker-compose.yaml file
• pgadmin_service_port: Port on the host machine to which the pgAdmin web interface will be exposed inside docker-compose.yaml file
• network_name: Name of the Docker network that will be created inside docker-compose.yaml file

GLHF 🚀

License

This project is licensed under the terms of the MIT license.