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?

  • 🖼️ The base to start an openapi project featuring: SQLModel, Typer, FastAPI, VueJS.
  • 📦 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.
  • 🤖 A Makefile with the most useful commands to install, test, lint, format and release your project.
  • 📃 Documentation structure using mkdocs
  • 💬 Auto generation of change log using gitchangelog to keep a HISTORY.md file automatically based on your commit history on every release.
  • 🐋 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.
  • 🧪 Testing structure using pytest
  • Code linting using flake8
  • 📊 Code coverage reports using codecov
  • 🛳️ 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.
  • 🔄 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
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

José Haro Peralta 8 Dec 16, 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
python fastapi example connection to mysql

Quickstart Then run the following commands to bootstrap your environment with poetry: git clone https://github.com/xiaozl/fastapi-realworld-example-ap

55 Dec 15, 2022
Recommend recipes based on what ingredients you have at home

🌱 MyChef 📦 Overview MyChef is an application that helps you decide what meal to make based on what you have at home. Simply enter in ingredients you

Logan Connolly 44 Nov 08, 2022
Example of integrating Poetry with Docker leveraging multi-stage builds.

Poetry managed Python FastAPI application with Docker multi-stage builds This repo serves as a minimal reference on setting up docker multi-stage buil

Michael Oliver 266 Dec 27, 2022
An image validator using FastAPI.

fast_api_image_validator An image validator using FastAPI.

Kevin Zehnder 7 Jan 06, 2022
a lightweight web framework based on fastapi

start-fastapi Version 2021, based on FastAPI, an easy-to-use web app developed upon Starlette Framework Version 2020 中文文档 Requirements python 3.6+ (fo

HiKari 71 Dec 30, 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
Python supercharged for the fastai library

Welcome to fastcore Python goodies to make your coding faster, easier, and more maintainable Python is a powerful, dynamic language. Rather than bake

fast.ai 810 Jan 06, 2023
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
The base to start an openapi project featuring: SQLModel, Typer, FastAPI, JWT Token Auth, Interactive Shell, Management Commands.

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

Bruno Rocha 251 Jan 09, 2023
REST API with FastAPI and SQLite3.

REST API with FastAPI and SQLite3

Luis Quiñones Requelme 2 Mar 14, 2022
Adds integration of the Jinja template language to FastAPI.

fastapi-jinja Adds integration of the Jinja template language to FastAPI. This is inspired and based off fastapi-chamelon by Mike Kennedy. Check that

Marc Brooks 58 Nov 29, 2022
官方文档已经有翻译的人在做了,

FastAPI 框架,高性能,易学,快速编码,随时可供生产 文档:https://fastapi.tiangolo.com 源码:https://github.com/tiangolo/fastapi FastAPI 是一个现代、快速(高性能)的 Web 框架,基于标准 Python 类型提示,使用

ApacheCN 27 Nov 11, 2022
Piccolo Admin provides a simple yet powerful admin interface on top of Piccolo tables

Piccolo Admin Piccolo Admin provides a simple yet powerful admin interface on top of Piccolo tables - allowing you to easily add / edit / filter your

188 Jan 09, 2023
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
基于Pytorch的脚手架项目,Celery+FastAPI+Gunicorn+Nginx+Supervisor实现服务部署,支持Docker发布

cookiecutter-pytorch-fastapi 基于Pytorch的 脚手架项目 按规范添加推理函数即可实现Celery+FastAPI+Gunicorn+Nginx+Supervisor+Docker的快速部署 Requirements Python = 3.6 with pip in

17 Dec 23, 2022
FastAPI Boilerplate

FastAPI Boilerplate Features SQlAlchemy session Custom user class Top-level dependency Dependencies for specific permissions Celery SQLAlchemy for asy

Hide 417 Jan 07, 2023
JSON-RPC server based on fastapi

Description JSON-RPC server based on fastapi: https://fastapi.tiangolo.com Motivation Autogenerated OpenAPI and Swagger (thanks to fastapi) for JSON-R

199 Dec 30, 2022
volunteer-database

This is the official CSM (Crowd source medical) database The What Now? We created this in light of the COVID-19 pandemic to allow volunteers to work t

32 Jun 21, 2022