hatchback 0.1.6

A CLI to generate a FastAPI + Alembic + SQLAlchemy boilerplate

The high-performance, drift-ready boilerplate for FastAPI.

Hatchback is a powerful CLI tool designed to bootstrap and manage production-ready FastAPI applications. It comes pre-loaded with best practices, security hardening, and a modular architecture that scales.

✨ Features

• 🚀 Production Ready: SQLAlchemy 2.0, Pydantic v2, and Alembic pre-configured.
• 🛡️ Secure by Default: Rate limiting (SlowAPI), hardened Auth (JWT), secure secret generation, and non-root Docker containers.
• ⚡ Blazing Fast: Optional uv support for lightning-fast dependency management.
• 🏗️ Clean Architecture: Service-Repository pattern for maintainable code.
• ✅ Testing Ready: Integrated pytest setup with hatchback test.
• 🐳 Dockerized: Ready-to-deploy docker-compose setup with healthchecks.
• 🏎️ Drift Mode: A CLI that drives as good as it looks.

📦 Installation

pip install hatchback

🏁 Quick Start

1. Initialize a new project

hatchback init my_project_name

You will be prompted for:

• Database Name
• Docker inclusion
• uv usage (if installed, for faster setup)

Options:

• --use-uv: Force usage of uv for virtualenv creation.
• --no-docker: Skip Docker file generation.

2. Start the Engine

Before hitting the gas, ensure your database is running and the schema is initialized.

1. Start Database:

cd my_project_name
docker-compose up -d db

(Or configure a local Postgres instance in .env)

2. Initialize Database: Create and apply the first migration for the built-in models (User, Tenant).

hatchback migrate create -m "initial_setup"
hatchback migrate apply

3. Run Server: Start the development server with hot-reloading.

hatchback run

🎉 Success! Your API is now live.

• API Docs: http://localhost:8000/docs
• ReDoc: http://localhost:8000/redoc

3. Scaffold Resources

Don't write boilerplate. Generate Models, Schemas, Repositories, Services, and Routes in one go. Hatchback automatically registers your new routes and services, so they are ready to use immediately.

hatchback make Product

4. Manage Migrations

Wrapper around Alembic to keep your database in sync.

# Create a migration
hatchback migrate create -m "add products table"

# Apply migrations
hatchback migrate apply

5. Seed Data

Populate your database with initial data (default tenant and admin user).

hatchback seed

🏗️ Architecture Explained

Hatchback follows a Service-Repository pattern to keep your code modular and testable.

1. Routes (app/routes/): Handle HTTP requests/responses and dependency injection. They delegate business logic to Services.
2. Services (app/services/): Contain the business logic. They orchestrate data operations using Repositories.
3. Repositories (app/repositories/): Handle direct database interactions (CRUD). They abstract the SQL/ORM details from the rest of the app.
4. Models (app/models/): SQLAlchemy database definitions. hatchback test

Run with coverage (pass arguments to pytest)

hatchback test -- Hatchback projects come with pytest configured.

# Run all tests
pytest

# Run with coverage
pytest --cov=app

📂 Project Structure

my_project/
├── app/
│   ├── config/       # Database, Security, Limiter config
│   ├── models/       # SQLAlchemy Database Models
│   ├── schemas/      # Pydantic Data Schemas
│   ├── repositories/ # Data Access Layer (CRUD)
│   ├── services/     # Business Logic
│   ├── routes/       # API Endpoints
│   ├── dependencies.py
│   └── main.py
├── alembic/          # Database Migrations
├── tests/            # Pytest Suite
├── docker-compose.yml
└── requirements.txt

🛡️ Security Features

• Rate Limiting: Built-in protection against brute-force attacks.
• Secure Headers: Trusted host middleware configuration.
• Password Hashing: Argon2/Bcrypt support via Passlib.
• Docker Security: Runs as a non-root user to prevent container breakout.

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Built with 💖 and 🏎️ by Ignacio Bares(nachovoss) and the Hatchback Team.