FastAPI Learning

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📌 About This Repository

This repository is dedicated to learning and practicing FastAPI concepts, backend architecture, and modern Python development. It serves as a hands-on playground for building APIs, working with databases, authentication, and deployment workflows.

The project focuses on:

• Building REST APIs with FastAPI
• Modeling and validating data with Pydantic
• Working with SQLAlchemy and Alembic
• Implementing authentication and authorization
• Writing tests with pytest
• Preparing applications for containerized deployment

"The best way to learn a framework is to build something real with it."

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🧱 Project Structure

fastapi_learning/
  app.py
  database.py
  security.py
  settings.py
  models/
  routers/
  schemas/

tests/
  conftest.py
  test_app.py
  test_auth.py
  test_todos.py
  test_users.py

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🚀 Getting Started

1. Clone the repository

git clone https://github.com/LyanKaleu/fastapi_learning.git
cd fastapi_learning

2. Create and activate the virtual environment

poetry install
poetry shell

3. Run the application

Before starting the app, make sure you have a .env file with the required environment variables, such as:

DATABASE_URL=...
SECRET_KEY=...
ALGORITHM=HS256
ACCESS_TOKEN_EXPIRE_MINUTES=30

If you prefer the development-style command, you can use:

poetry run fastapi dev fastapi_learning/app.py

4. Run the tests

pytest -q

5. Use Taskipy for common commands

If you prefer a shorter workflow, Taskipy is already configured in pyproject.toml.

task run

task test
task lint
task format
task migrate
task migration-create "Describe your change"

Here is what each task does:

• task run — starts the FastAPI development server
• task test — runs the test suite with pytest and coverage
• task lint — checks the codebase with Ruff
• task format — formats the code with Ruff
• task migrate — applies the latest Alembic migrations
• task migration-create "..." — creates a new Alembic migration with an autogenerated message
• task migrate-down — reverts the last migration

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🗄️ Database and Migrations

This project uses Alembic for schema evolution.

poetry run alembic upgrade head
poetry run alembic revision --autogenerate -m "Describe your change"

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🧪 Testing

The test suite covers API behavior, authentication, database access, and core application flows.

pytest -q

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🐳 Docker

You can also run the project in a container.

docker build -t fastapi-learning .
docker run -p 8000:8000 fastapi-learning

🚀 Deploy on Fly.io

The project is also prepared for deployment on Fly.io through the GitHub Actions workflow in .github/workflows/fly-deploy.yml.

Before deploying, make sure you have the Fly CLI installed. You can install it from: https://fly.io/docs/hands-on/install-flyctl/

Typical flow:

flyctl deploy

The application image uses the entrypoint defined in entrypoint.sh, so migrations are applied automatically when the container starts.

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🌱 Why FastAPI?

FastAPI combines Python simplicity with modern API development practices:

• Clean and expressive route definitions
• Automatic request and response validation
• Excellent editor support and type hints
• Strong async support for scalable services
• Great fit for learning backend architecture in practice

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👤 Author

Lyan Kaleu

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// Learning backend development one concept at a time.