Fastapi Project Template

A FastAPI project template using Make, Docker Compose and Github Actions, that includes SQLAlchemy, Alembic and an integration test setup.

Installation

The only requirements to develop are Docker and Make. Docker makes it easy to get started and enables easier switching between projects, operating systems and machines.

To start up the project locally you first clone the project, and then run the following command in the cloned directory:

$ git clone https://github.com/BiteStreams/fastapi-template.git
$ cd fastapi-template
$ make up

Then to update the schema using alembic, in another shell:

$ make migrate

That's it. The app is set up and should be running at localhost:5000/docs. Code changes are automatically detected using a mounted docker volume.

Makefile

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The Makefile is the 'entrypoint' for the tools in this structure, such that you can easily run different commands without remembering the exact arguments. Run make help to get an overview of the available commands:

$ make help
up: 
 Run the application
done: lint test 
 Prepare for a commit
test: utest itest  
 Run unit and integration tests
check: 
 Check the code base
lint: 
 Check the code base, and fix it
clean_test:  
 Clean up test containers
migrations: 
 Generate a migration using alembic
migrate: 
 Run migrations upgrade using alembic
downgrade: 
 Run migrations downgrade using alembic
help: 
 Display this help message

Make allows you to collect common scripts and commands for the project. Other projects using different programming languages and frameworks get the same development interface by using Make.

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Installation without Docker

To install a local copy of the python environment (to get code-completion for example), you must have Poetry installed. Create a poetry environment by running poetry install at the root of the project. To start up the server in the poetry environment and talk to a test sqlite database in ./test.db, run

$ export DB_STRING=sqlite:///test.db/
$ poetry run alembic upgrade head && poetry run uvicorn api.main:app --port 5000 --reload

Again, the app should be all set up and running at localhost:5000/docs.

Tests

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The tests are containerized and the Docker setup can be found in the .ci/ folder. They are written using Pytest. You can run the tests using:

$ make test

This runs the integration & unit tests. If you want to run them separately, use make itest to run the integration tests and make utest to run the unit tests.

Further reading

To read about the benefits of using this template, check out our blog post.