/fastapi-realworld-example-app

Backend logic implementation for https://github.com/gothinkster/realworld with awesome FastAPI

Primary LanguagePythonMIT LicenseMIT

./.github/assets/logo.png


Quickstart

First, run PostgreSQL, set environment variables and create database. For example using docker:

export POSTGRES_DB=rwdb POSTGRES_PORT=5432 POSTGRES_USER=postgres POSTGRES_PASSWORD=postgres
docker run --name pgdb --rm -e POSTGRES_USER="$POSTGRES_USER" -e POSTGRES_PASSWORD="$POSTGRES_PASSWORD" -e POSTGRES_DB="$POSTGRES_DB" postgres
export POSTGRES_HOST=$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' pgdb)
createdb --host=$POSTGRES_HOST --port=$POSTGRES_PORT --username=$POSTGRES_USER $POSTGRES_DB

Then run the following commands to bootstrap your environment with poetry:

git clone https://github.com/nsidnev/fastapi-realworld-example-app
cd fastapi-realworld-example-app
poetry install
poetry shell

Then create .env file (or rename and modify .env.example) in project root and set environment variables for application:

touch .env
echo DB_CONNECTION=postgresql://$POSTGRES_USER:$POSTGRES_PASSWORD@$POSTGRES_HOST:$POSTGRES_PORT/$POSTGRES_DB >> .env
echo SECRET_KEY=$(openssl rand -hex 32) >> .env

To run the web application in debug use:

alembic upgrade head
uvicorn app.main:app --reload

If you run into the following error in your docker container:

sqlalchemy.exc.OperationalError: (psycopg2.OperationalError) could not connect to server: No such file or directory Is the server running locally and accepting connections on Unix domain socket "/tmp/.s.PGSQL.5432"?

Ensure the DB_CONNECTION variable is set correctly in the .env file. It is most likely caused by POSTGRES_HOST not pointing to its localhost.

DB_CONNECTION=postgresql://postgres:postgres@0.0.0.0:5432/rwdb

Run tests

Tests for this project are defined in the tests/ folder.

This project uses pytest to define tests because it allows you to use the assert keyword with good formatting for failed assertations.

To run all the tests of a project, simply run the pytest command:

$ pytest
================================================= test session starts ==================================================
platform linux -- Python 3.8.3, pytest-5.4.2, py-1.8.1, pluggy-0.13.1
rootdir: /home/some-user/user-projects/fastapi-realworld-example-app, inifile: setup.cfg, testpaths: tests
plugins: env-0.6.2, cov-2.9.0, asyncio-0.12.0
collected 90 items

tests/test_api/test_errors/test_422_error.py .                                                                   [  1%]
tests/test_api/test_errors/test_error.py .                                                                       [  2%]
tests/test_api/test_routes/test_articles.py .................................                                    [ 38%]
tests/test_api/test_routes/test_authentication.py ..                                                             [ 41%]
tests/test_api/test_routes/test_comments.py ....                                                                 [ 45%]
tests/test_api/test_routes/test_login.py ...                                                                     [ 48%]
tests/test_api/test_routes/test_profiles.py ............                                                         [ 62%]
tests/test_api/test_routes/test_registration.py ...                                                              [ 65%]
tests/test_api/test_routes/test_tags.py ..                                                                       [ 67%]
tests/test_api/test_routes/test_users.py ....................                                                    [ 90%]
tests/test_db/test_queries/test_tables.py ...                                                                    [ 93%]
tests/test_schemas/test_rw_model.py .                                                                            [ 94%]
tests/test_services/test_jwt.py .....                                                                            [100%]

============================================ 90 passed in 70.50s (0:01:10) =============================================
$

This project does not use your local PostgreSQL by default, but creates it in docker as a container (you can see it if you type docker ps when the tests are executed, the docker container for PostgreSQL should be launched with with a name like test-postgres-725b4bd4-04f5-4c59-9870-af747d3b182f). But there are cases when you don't want to use docker for tests as a database provider (which takes an additional +- 5-10 seconds for its bootstrap before executing the tests), for example, in CI, or if you have problems with the docker driver or for any other reason. In this case, you can run the tests using your already running database with the following command:

$ USE_LOCAL_DB_FOR_TEST=True pytest

Which will use your local database with DSN from the environment variable DB_CONNECTION.

If you want to run a specific test, you can do this with this pytest feature:

$ pytest tests/test_api/test_routes/test_users.py::test_user_can_not_take_already_used_credentials

Deployment with Docker

You must have docker and docker-compose tools installed to work with material in this section. First, create .env file like in Quickstart section or modify .env.example. POSTGRES_HOST must be specified as db or modified in docker-compose.yml also. Then just run:

docker-compose up -d db
docker-compose up -d app

Application will be available on localhost in your browser.

Web routes

All routes are available on /docs or /redoc paths with Swagger or ReDoc.

Project structure

Files related to application are in the app or tests directories. Application parts are:

app
├── api              - web related stuff.
│   ├── dependencies - dependencies for routes definition.
│   ├── errors       - definition of error handlers.
│   └── routes       - web routes.
├── core             - application configuration, startup events, logging.
├── db               - db related stuff.
│   ├── migrations   - manually written alembic migrations.
│   └── repositories - all crud stuff.
├── models           - pydantic models for this application.
│   ├── domain       - main models that are used almost everywhere.
│   └── schemas      - schemas for using in web routes.
├── resources        - strings that are used in web responses.
├── services         - logic that is not just crud related.
└── main.py          - FastAPI application creation and configuration.