This a template project, to demonstrate using FastAPI in a bigger application. The same file structure has been followed as per FastAPI docs.
This repository is intended as a quick-start and includes the following:
- A
Dockerfile
to build the FastAPI application following guidelines docker-compose.yml
file to build and start the application- GitHub Action workflow to run linting and unit tests
- Pre-commit hooks to run on each commit
- Pydantic models as response models for endpoints
- Unit and integration feature tests for endpoints
-
Install python packages used for the service
pip install -r requirements.txt
-
Run the FastAPI server, which will run on port 8000
python app/main.py
Endpoint documentation are available on http://127.0.0.1:8000/docs
Running the docker-compose.yml
, will build a new image python-fastapi-bigger-applications-template-fastapi:latest
which will be used for the fastapi
service within the container.
docker-compose up -d
Unit tests are located in /tests/unit
directory, run unit tests using:
pytest tests/unit
Additionally, a coverage report can be generated using pytest-cov
:
pytest --cov=app tests/unit --cov-report=html:coverage_report
Will generate a coverage HTML file, in the /coverage_report/
directory, simply open the index.html
in your chosen
web browser.
Integration tests are located in /tests/integration
directory, run integration using:
pytest tests/integration
Git hook scripts are very helpful for identifying simple issues before pushing any changes. Hooks will run on every commit automatically pointing out issues in the code e.g. trailing whitespace.
To help with the maintenance of these hooks, pre-commit is used, along with pre-commit-hooks.
Please following these instructions to install pre-commit
locally and ensure that
you have run
pre-commit install
to install the hooks for this project.
Additionally, once installed, the hooks can be updated to the latest available version with pre-commit autoupdate
.
GitHub project has three workflow set up, found in .github/workflows/
: