flask extension for integration with the awesome pydantic package

Overview

Flask-Pydantic

Actions Status PyPI Language grade: Python License Code style

Flask extension for integration of the awesome pydantic package with Flask.

Installation

python3 -m pip install Flask-Pydantic

Basics

validate decorator validates query and body request parameters and makes them accessible two ways:

  1. Using validate arguments, via flask's request variable
parameter type request attribute name
query query_params
body body_params
  1. Using the decorated function argument parameters type hints

  • Success response status code can be modified via on_success_status parameter of validate decorator.
  • response_many parameter set to True enables serialization of multiple models (route function should therefore return iterable of models).
  • request_body_many parameter set to False analogically enables serialization of multiple models inside of the root level of request body. If the request body doesn't contain an array of objects 400 response is returned,
  • If validation fails, 400 response is returned with failure explanation.

For more details see in-code docstring or example app.

Usage

Example 1: Query parameters only

Simply use validate decorator on route function.

Be aware that @app.route decorator must precede @validate (i. e. @validate must be closer to the function declaration).

from typing import Optional
from flask import Flask, request
from pydantic import BaseModel

from flask_pydantic import validate

app = Flask("flask_pydantic_app")

class QueryModel(BaseModel):
  age: int

class ResponseModel(BaseModel):
  id: int
  age: int
  name: str
  nickname: Optional[str]

# Example 1: query parameters only
@app.route("/", methods=["GET"])
@validate()
def get(query:QueryModel):
  age = query.age
  return ResponseModel(
    age=age,
    id=0, name="abc", nickname="123"
    )
See the full example app here
  • age query parameter is a required int
    • curl --location --request GET 'http://127.0.0.1:5000/'
    • if none is provided the response contains:
      {
        "validation_error": {
          "query_params": [
            {
              "loc": ["age"],
              "msg": "field required",
              "type": "value_error.missing"
            }
          ]
        }
      }
    • for incompatible type (e. g. string /?age=not_a_number)
    • curl --location --request GET 'http://127.0.0.1:5000/?age=abc'
      {
        "validation_error": {
          "query_params": [
            {
              "loc": ["age"],
              "msg": "value is not a valid integer",
              "type": "type_error.integer"
            }
          ]
        }
      }
  • likewise for body parameters
  • example call with valid parameters: curl --location --request GET 'http://127.0.0.1:5000/?age=20'

-> {"id": 0, "age": 20, "name": "abc", "nickname": "123"}

Example 2: Request body only

class RequestBodyModel(BaseModel):
  name: str
  nickname: Optional[str]

# Example2: request body only
@app.route("/", methods=["POST"])
@validate()
def post(body:RequestBodyModel): 
  name = body.name
  nickname = body.nickname
  return ResponseModel(
    name=name, nickname=nickname,id=0, age=1000
    )
See the full example app here

Example 3: BOTH query paramaters and request body

# Example 3: both query paramters and request body
@app.route("/both", methods=["POST"])
@validate()
def get_and_post(body:RequestBodyModel,query:QueryModel):
  name = body.name # From request body
  nickname = body.nickname # From request body
  age = query.age # from query parameters
  return ResponseModel(
    age=age, name=name, nickname=nickname,
    id=0
  )
See the full example app here

Modify response status code

The default success status code is 200. It can be modified in two ways

  • in return statement
# necessary imports, app and models definition
...

@app.route("/", methods=["POST"])
@validate(body=BodyModel, query=QueryModel)
def post():
    return ResponseModel(
            id=id_,
            age=request.query_params.age,
            name=request.body_params.name,
            nickname=request.body_params.nickname,
        ), 201
  • in validate decorator
@app.route("/", methods=["POST"])
@validate(body=BodyModel, query=QueryModel, on_success_status=201)
def post():
    ...

Status code in case of validation error can be modified using FLASK_PYDANTIC_VALIDATION_ERROR_STATUS_CODE flask configuration variable.

Using the decorated function kwargs

Instead of passing body and query to validate, it is possible to directly defined them by using type hinting in the decorated function.

# necessary imports, app and models definition
...

@app.route("/", methods=["POST"])
@validate()
def post(body: BodyModel, query: QueryModel):
    return ResponseModel(
            id=id_,
            age=query.age,
            name=body.name,
            nickname=body.nickname,
        )

This way, the parsed data will be directly available in body and query. Furthermore, your IDE will be able to correctly type them.

Model aliases

Pydantic's alias feature is natively supported for query and body models. To use aliases in response modify response model

def modify_key(text: str) -> str:
    # do whatever you want with model keys
    return text


class MyModel(BaseModel):
    ...
    class Config:
        alias_generator = modify_key
        allow_population_by_field_name = True

and set response_by_alias=True in validate decorator

@app.route(...)
@validate(response_by_alias=True)
def my_route():
    ...
    return MyModel(...)

Example app

For more complete examples see example application.

Configuration

The behaviour can be configured using flask's application config FLASK_PYDANTIC_VALIDATION_ERROR_STATUS_CODE - response status code after validation error (defaults to 400)

Contributing

Feature requests and pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

  • clone repository
    git clone https://github.com/bauerji/flask_pydantic.git
    cd flask_pydantic
  • create virtual environment and activate it
    python3 -m venv venv
    source venv/bin/activate
  • install development requirements
    python3 -m pip install -r requirements/test.pip
  • checkout new branch and make your desired changes (don't forget to update tests)
    git checkout -b <your_branch_name>
  • run tests
    python3 -m pytest
  • if tests fails on Black tests, make sure You have your code compliant with style of Black formatter
  • push your changes and create a pull request to master branch

TODOs:

  • header request parameters
  • cookie request parameters
A template for Flask APIs.

FlaskAPITempate A template for a Flask API. Why tho? I just wanted an easy way to create a Flask API. How to setup First, use the template. You can do

TechStudent10 1 Dec 28, 2021
Library books management program, built with Flask, Python

Library books management program, With many features and good User Interface. built with Flask, Python. (Include Screenshots) and documentation on how to run it! Thank you :)

Thierry Mugisha 1 May 03, 2022
Quick and simple security for Flask applications

Note This project is non maintained anymore. Consider the Flask-Security-Too project as an alternative. Flask-Security It quickly adds security featur

Matt Wright 1.6k Dec 19, 2022
YAML-formatted plain-text file based models for Flask backed by Flask-SQLAlchemy

Flask-FileAlchemy Flask-FileAlchemy is a Flask extension that lets you use Markdown or YAML formatted plain-text files as the main data store for your

Siddhant Goel 20 Dec 14, 2022
Criando um Bot com PYAUTOGUI e utilizando o Flask para Interface para Usuário

Criando um Bot com PYAUTOGUI e utilizando o Flask para Interface para Usuário O pyautogui foi escolhido pela possibilidade de fazer a identificação do

Rodrigo Vital 2 Oct 20, 2021
Are-You-OK is a Flask-based, responsive Web App to monitor whether the Internet Service you care about is still working.

Are-You-OK Are-You-OK is a Flask-based, responsive Web App to monitor whether the Internet Service you care about is still working. Demo-Preview Get S

Tim Qiu 1 Oct 28, 2021
A basic CRUD application built in flask using postgres as database

flask-postgres-CRUD A basic CRUD application built in flask using postgres as database Taks list Dockerfile Initial docker-compose - It is working Dat

Pablo Emídio S.S 9 Sep 25, 2022
Full text search for flask.

flask-msearch Installation To install flask-msearch: pip install flask-msearch # when MSEARCH_BACKEND = "whoosh" pip install whoosh blinker # when MSE

honmaple 197 Dec 29, 2022
Making a simple app using React, Flask and MySQL.

Samys-Cookbook Making a simple app using React and Flask. What This will be a simple site to host my recipes. It will have a react front-end, a flask

Samridh Anand Paatni 1 Jul 07, 2022
Flaskr: Intro to Flask, Test-Driven Development (TDD), and JavaScript

Flaskr - Intro to Flask, Test-Driven Development, and JavaScript Share on Twitter As many of you know, Flaskr -- a mini-blog-like-app -- is the app th

Michael Herman 2.2k Jan 04, 2023
A live chat built with python(flask + gevent + apscheduler) + redis

a live chat room built with python(flask / gevent / apscheduler) + redis Basic Architecture Screenshot Install cd /path/to/source python bootstrap.py

Limboy 309 Nov 13, 2022
A Python, Flask login system

Python Login System This is a basic login + authenticason system for flask using Flask_Login and Flask_SQLAlchemy Get started on your own To use this

MrShoe 0 Feb 02, 2022
Flask-Discord-Bot-Dashboard - A simple discord Bot dashboard created in Flask Python

Flask-Discord-Bot-Dashboard A simple discord Bot dashboard created in Flask Pyth

Ethan 8 Dec 22, 2022
SeCl - A really easy to deploy and use made-on Flask API to manage your files remotely from Terminal

SeCl SeCl it's a really easy to deploy and use made-on Flask API to manage your

ZSendokame 3 Jan 15, 2022
A tool for the game Politics And War. Saving players hours if searching for targets they can engage with.

A tool for the game Politics And War. Saving players hours if searching for targets they can engage with.

1 Dec 19, 2021
PatientDB is a flask app to store patient information.

PatientDB PatientDB on Heroku "PatientDB is a simple web app that stores patient information, able to edit the information, and able to query the data

rbb 2 Jan 31, 2022
A web application that consists of a collection of board games

PyBoardGame About This website contains a collection of board games for users to enjoy, as well as various guides for the games. The web app is built

Larry Shi 0 Aug 11, 2021
Flask webassets integration.

Integrates the webassets library with Flask, adding support for merging, minifying and compiling CSS and Javascript files. Documentation: https://flas

Michael Elsdörfer 433 Dec 29, 2022
A boilerplate Flask API for a Fullstack Project :rocket:

Flask Boilerplate to quickly get started with production grade flask application with some additional packages and configuration prebuilt.

Yasser Tahiri 32 Dec 24, 2022