The base to start an openapi project featuring: SQLModel, Typer, FastAPI, JWT Token Auth, Interactive Shell, Management Commands.

Overview

FastAPI Project Template

The base to start an openapi project featuring: SQLModel, Typer, FastAPI, JWT Token Auth, Interactive Shell, Management Commands.

See also

HOW TO USE THIS TEMPLATE

DO NOT FORK this is meant to be used from Use this template feature.

  1. Click on Use this template
  2. Give a name to your project
    (e.g. my_awesome_project recommendation is to use all lowercase and underscores separation for repo names.)
  3. Wait until the first run of CI finishes
    (Github Actions will process the template and commit to your new repo)
  4. If you want codecov Reports and Automatic Release to PyPI
    On the new repository settings->secrets add your PIPY_API_TOKEN and CODECOV_TOKEN (get the tokens on respective websites)
  5. Read the file CONTRIBUTING.md
  6. Then clone your new project and happy coding!

NOTE: WAIT until first CI run on github actions before cloning your new project.

What is included on this template?

  • πŸ–ΌοΈ The base to start an openapi project featuring: SQLModel, Typer, FastAPI, VueJS.
  • πŸ“¦ A basic setup.py file to provide installation, packaging and distribution for your project.
    Template uses setuptools because it's the de-facto standard for Python packages, you can run make switch-to-poetry later if you want.
  • πŸ€– A Makefile with the most useful commands to install, test, lint, format and release your project.
  • πŸ“ƒ Documentation structure using mkdocs
  • πŸ’¬ Auto generation of change log using gitchangelog to keep a HISTORY.md file automatically based on your commit history on every release.
  • πŸ‹ A simple Containerfile to build a container image for your project.
    Containerfile is a more open standard for building container images than Dockerfile, you can use buildah or docker with this file.
  • πŸ§ͺ Testing structure using pytest
  • βœ… Code linting using flake8
  • πŸ“Š Code coverage reports using codecov
  • πŸ›³οΈ Automatic release to PyPI using twine and github actions.
  • 🎯 Entry points to execute your program using python -m or $ project_name with basic CLI argument parsing.
  • πŸ”„ Continuous integration using Github Actions with jobs to lint, test and release your project on Linux, Mac and Windows environments.

Curious about architectural decisions on this template? read ABOUT_THIS_TEMPLATE.md
If you want to contribute to this template please open an issue or fork and send a PULL REQUEST.

❀️ Sponsor this project


project_name

codecov CI

project_description

Install

from source

git clone https://github.com/author_name/project_urlname project_name
cd project_name
make install

from pypi

pip install project_name

Executing

$ project_name run --port 8080

or

python -m project_name run --port 8080

or

$ uvicorn project_name:app

CLI

❯ project_name --help
Usage: project_name [OPTIONS] COMMAND [ARGS]...

Options:
  --install-completion [bash|zsh|fish|powershell|pwsh]
                                  Install completion for the specified shell.
  --show-completion [bash|zsh|fish|powershell|pwsh]
                                  Show completion for the specified shell, to
                                  copy it or customize the installation.
  --help                          Show this message and exit.

Commands:
  create-user  Create user
  run          Run the API server.
  shell        Opens an interactive shell with objects auto imported

Creating a user

❯ project_name create-user --help
Usage: project_name create-user [OPTIONS] USERNAME PASSWORD

  Create user

Arguments:
  USERNAME  [required]
  PASSWORD  [required]

Options:
  --superuser / --no-superuser  [default: no-superuser]
  --help 

IMPORTANT To create an admin user on the first run:

project_name create-user admin admin --superuser

The Shell

You can enter an interactive shell with all the objects imported.

❯ project_name shell       
Auto imports: ['app', 'settings', 'User', 'engine', 'cli', 'create_user', 'select', 'session', 'Content']

In [1]: session.query(Content).all()
Out[1]: [Content(text='string', title='string', created_time='2021-09-14T19:25:00.050441', user_id=1, slug='string', id=1, published=False, tags='string')]

In [2]: user = session.get(User, 1)

In [3]: user.contents
Out[3]: [Content(text='string', title='string', created_time='2021-09-14T19:25:00.050441', user_id=1, slug='string', id=1, published=False, tags='string')]

API

Run with project_name run and access http://127.0.0.1:8000/docs

For some api calls you must authenticate using the user created with project_name create-user.

Testing

❯ make test
Black All done! ✨ 🍰 ✨
13 files would be left unchanged.
Isort All done! ✨ 🍰 ✨
6 files would be left unchanged.
Success: no issues found in 13 source files
================================ test session starts ===========================
platform linux -- Python 3.9.6, pytest-6.2.5, py-1.10.0, pluggy-1.0.0 -- 
/fastapi-project-template/.venv/bin/python3
cachedir: .pytest_cache
rootdir: /fastapi-project-template
plugins: cov-2.12.1
collected 10 items                                                                                                                               

tests/test_app.py::test_using_testing_db PASSED                           [ 10%]
tests/test_app.py::test_index PASSED                                      [ 20%]
tests/test_cli.py::test_help PASSED                                       [ 30%]
tests/test_cli.py::test_cmds_help[run-args0---port] PASSED                [ 40%]
tests/test_cli.py::test_cmds_help[create-user-args1-create-user] PASSED   [ 50%]
tests/test_cli.py::test_cmds[create-user-args0-created admin2 user] PASSED[ 60%]
tests/test_content_api.py::test_content_create PASSED                     [ 70%]
tests/test_content_api.py::test_content_list PASSED                       [ 80%]
tests/test_user_api.py::test_user_list PASSED                             [ 90%]
tests/test_user_api.py::test_user_create PASSED                           [100%]

----------- coverage: platform linux, python 3.9.6-final-0 -----------
Name                              Stmts   Miss  Cover
-----------------------------------------------------
project_name/__init__.py              4      0   100%
project_name/app.py                  16      1    94%
project_name/cli.py                  21      0   100%
project_name/config.py                5      0   100%
project_name/db.py                   10      0   100%
project_name/models/__init__.py       0      0   100%
project_name/models/content.py       47      1    98%
project_name/routes/__init__.py      11      0   100%
project_name/routes/content.py       52     25    52%
project_name/routes/security.py      15      1    93%
project_name/routes/user.py          52     26    50%
project_name/security.py            103     12    88%
-----------------------------------------------------
TOTAL                               336     66    80%


========================== 10 passed in 2.34s ==================================

Linting and Formatting

make lint  # checks for linting errors
make fmt   # formats the code

Configuration

This project uses Dynaconf to manage configuration.

from project_name.config import settings

Acessing variables

settings.get("SECRET_KEY", default="sdnfjbnfsdf")
settings["SECRET_KEY"]
settings.SECRET_KEY
settings.db.uri
settings["db"]["uri"]
settings["db.uri"]
settings.DB__uri

Defining variables

On files

settings.toml

[development]
dynaconf_merge = true

[development.db]
echo = true

dynaconf_merge is a boolean that tells if the settings should be merged with the default settings defined in project_name/default.toml.

As environment variables

export PROJECT_NAME_KEY=value
export PROJECT_NAME_KEY="@int 42"
export PROJECT_NAME_KEY="@jinja {{ this.db.uri }}"
export PROJECT_NAME_DB__uri="@jinja {{ this.db.uri | replace('db', 'data') }}"

Secrets

There is a file .secrets.toml where your sensitive variables are stored, that file must be ignored by git. (add that to .gitignore)

Or store your secrets in environment variables or a vault service, Dynaconf can read those variables.

Switching environments

PROJECT_NAME_ENV=production project_name run

Read more on https://dynaconf.com

Development

Read the CONTRIBUTING.md file.

Owner
Bruno Rocha
Programmer at @RedHatOfficial. #Python #Rust . Working on: @ansible @python #dynaconf @codeshow
Bruno Rocha
Async and Sync wrapper client around httpx, fastapi, date stuff

lazyapi Async and Sync wrapper client around httpx, fastapi, and datetime stuff. Motivation This library is forked from an internal project that works

2 Apr 19, 2022
Basic FastAPI starter with GraphQL, Docker, and MongoDB configurations.

FastAPI + GraphQL Starter A python starter project using FastAPI and GraphQL. This project leverages docker for containerization and provides the scri

Cloud Bytes Collection 1 Nov 24, 2022
Publish Xarray Datasets via a REST API.

Xpublish Publish Xarray Datasets via a REST API. Serverside: Publish a Xarray Dataset through a rest API ds.rest.serve(host="0.0.0.0", port=9000) Clie

xarray-contrib 106 Jan 06, 2023
[rewrite 쀑] μ½”λ‘œλ‚˜λ°”μ΄λŸ¬μŠ€κ°μ—Όμ¦-19(COVID-19)의 κ΅­λ‚΄/κ΅­μ™Έ λ°œμƒ 동ν–₯ 쑰회 API | Coronavirus Infectious Disease-19 (COVID-19) outbreak trend inquiry API

COVID-19API μ½”λ‘œλ‚˜ λ°”μ΄λŸ¬μŠ€ 감염증-19(COVID-19, SARS-CoV-2)의 κ΅­λ‚΄/μ™Έ λ°œμƒ 동ν–₯ 쑰회 API Corona Virus Infectious Disease-19 (COVID-19, SARS-CoV-2) outbreak trend inquiry

Euiseo Cha 28 Oct 29, 2022
API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.

This open source project serves two purposes. Collection and evaluation of a Question Answering dataset to improve existing QA/search methods - COVID-

deepset 329 Nov 10, 2022
asgi-server-timing-middleware

ASGI Server-Timing middleware An ASGI middleware that wraps the excellent yappi profiler to let you measure the execution time of any function or coro

33 Dec 15, 2022
Mnist API server w/ FastAPI

Mnist API server w/ FastAPI

Jinwoo Park (Curt) 8 Feb 08, 2022
EML analyzer is an application to analyze the EML file

EML analyzer EML analyzer is an application to analyze the EML file which can: Analyze headers. Analyze bodies. Extract IOCs (URLs, domains, IP addres

Manabu Niseki 162 Dec 28, 2022
Backend, modern REST API for obtaining match and odds data crawled from multiple sites. Using FastAPI, MongoDB as database, Motor as async MongoDB client, Scrapy as crawler and Docker.

Introduction Apiestas is a project composed of a backend powered by the awesome framework FastAPI and a crawler powered by Scrapy. This project has fo

Fran Lozano 54 Dec 13, 2022
signal-cli-rest-api is a wrapper around signal-cli and allows you to interact with it through http requests

signal-cli-rest-api signal-cli-rest-api is a wrapper around signal-cli and allows you to interact with it through http requests. Features register/ver

Sebastian Noel LΓΌbke 31 Dec 09, 2022
Code for my JWT auth for FastAPI tutorial

FastAPI tutorial Code for my video tutorial FastAPI tutorial What is FastAPI? FastAPI is a high-performant REST API framework for Python. It's built o

JosΓ© Haro Peralta 8 Dec 16, 2022
An extension for GINO to support Starlette server.

gino-starlette Introduction An extension for GINO to support starlette server. Usage The common usage looks like this: from starlette.applications imp

GINO Community 75 Dec 08, 2022
I'm curious if pydantic + fast api can be sensibly used with DDD + hex arch methodology

pydantic-ddd-exploration I'm curious if pydantic + fast api can be sensibly used with DDD + hex arch methodology Prerequisites nix direnv (nix-env -i

Olgierd Kasprowicz 2 Nov 17, 2021
TODO aplication made with Python's FastAPI framework and Hexagonal Architecture

FastAPI Todolist Description Todolist aplication made with Python's FastAPI framework and Hexagonal Architecture. This is a test repository for the pu

Giovanni Armane 91 Dec 31, 2022
A simple docker-compose app for orchestrating a fastapi application, a celery queue with rabbitmq(broker) and redis(backend)

fastapi - celery - rabbitmq - redis - Docker A simple docker-compose app for orchestrating a fastapi application, a celery queue with rabbitmq(broker

Kartheekasasanka Kaipa 83 Dec 19, 2022
πŸ“¦ Autowiring dependency injection container for python 3

Lagom - Dependency injection container What Lagom is a dependency injection container designed to give you "just enough" help with building your depen

Steve B 146 Dec 29, 2022
An image validator using FastAPI.

fast_api_image_validator An image validator using FastAPI.

Kevin Zehnder 7 Jan 06, 2022
Auth for use with FastAPI

FastAPI Auth Pluggable auth for use with FastAPI Supports OAuth2 Password Flow Uses JWT access and refresh tokens 100% mypy and test coverage Supports

David Montague 95 Jan 02, 2023
ReST based network device broker

The Open API Platform for Network Devices netpalm makes it easy to push and pull state from your apps to your network by providing multiple southbound

368 Dec 31, 2022
A Prometheus Python client library for asyncio-based applications

aioprometheus aioprometheus is a Prometheus Python client library for asyncio-based applications. It provides metrics collection and serving capabilit

132 Dec 28, 2022