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

URL query and body parameters

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

URL path parameter

If you use annotated path URL path parameters as follows

@app.route("/users/<user_id>", methods=["GET"])
@validate()
def get_user(user_id: str):
    pass

flask_pydantic will parse and validate user_id variable in the same manner as for body and query parameters.


Additional validate arguments

  • 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,
  • get_json_params - parameters to be passed to flask.Request.get_json function
  • 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: URL path parameter

@app.route("/character/<character_id>/", methods=["GET"])
@validate()
def get_character(character_id: int):
    characters = [
        ResponseModel(id=1, age=95, name="Geralt", nickname="White Wolf"),
        ResponseModel(id=2, age=45, name="Triss Merigold", nickname="sorceress"),
        ResponseModel(id=3, age=42, name="Julian Alfred Pankratz", nickname="Jaskier"),
        ResponseModel(id=4, age=101, name="Yennefer", nickname="Yenn"),
    ]
    try:
        return characters[character_id]
    except IndexError:
        return {"error": "Not found"}, 400

Example 3: 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 4: 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
Another redis monitor by using flask, angular, socket.io

RedisPAPA we use redis info to monitor the redis usage. PAPA means a father who is monitoring the redis. accoding to the redis doc, it is be recommand

no13bus 393 Dec 30, 2022
A simple barcode and QR code generator built in Python with Flask.

✨ Komi - Barcode & QR Generator ✨ A simple barcode and QR code generator built in Python with Flask. 📑 Table of Contents Usage Installation Contribut

Bonnie Fave 2 Nov 04, 2021
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
Heroku Flask Setup

Heroku Flask Setup

Abhimanyu Haralukallu 0 Dec 07, 2021
Flask-Diamond is a batteries-included Flask framework.

Flask-Diamond Flask-Diamond is a batteries-included Python Flask framework, sortof like Django but radically decomposable. Flask-Diamond offers some o

Diamond Methods 173 Dec 22, 2022
This is a simple web application using Python Flask and MySQL database.

Simple Web Application This is a simple web application using Python Flask and MySQL database. This is used in the demonstration of development of Ans

Alaaddin Tarhan 1 Nov 16, 2021
An extension to add support of Plugin in Flask.

An extension to add support of Plugin in Flask.

Doge Gui 31 May 19, 2022
Flask Apps - Open-Source And Paid | AppSeed

Flask Apps Open-Source web apps built with automation tools, HTML parsing and boilerplated code in Flask - - Provided by AppSeed App Generator. What i

App Generator 120 Oct 04, 2022
MongoEngine flask extension with WTF model forms support

Flask-MongoEngine Info: MongoEngine for Flask web applications. Repository: https://github.com/MongoEngine/flask-mongoengine About Flask-MongoEngine i

MongoEngine 815 Jan 03, 2023
Free casino website. Madden just for learning / fun

Website Casino Free casino website. Madden just for learning / fun. Uses Jinja2 (HTML), Flask, JavaScript, etc. Dice game Preview

Kirill Zhosul 0 Jun 22, 2022
Sample Dockerized flask app deployed on Kubernetes on Azure using AKS

Sample Dockerized flask app deployed on Kubernetes on Azure using AKS

Ahmed khémiri 22 Sep 08, 2021
A simple FastAPI web service + Vue.js based UI over a rclip-style clip embedding database.

Explore CLIP Embeddings in a rclip database A simple FastAPI web service + Vue.js based UI over a rclip-style clip embedding database. A live demo of

18 Oct 15, 2022
Curso Desenvolvimento avançado Python com Flask e REST API

Curso Desenvolvimento avançado Python com Flask e REST API Curso da Digital Innovation One Professor: Rafael Galleani Conteudo do curso Introdução ao

Elizeu Barbosa Abreu 1 Nov 14, 2021
The Coodesh Python Backend Challenge (2021) written in Flask

Coodesh Back-end Challenge 🏅 2021 ID: 917 The Python Back-end Coodesh Challenge Description This API automatically retrieves users from the RandomUse

Marcus Vinicius Pereira 1 Oct 20, 2021
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
i18n and l10n support for Flask based on Babel and pytz

Flask Babel Implements i18n and l10n support for Flask. This is based on the Python babel module as well as pytz both of which are installed automatic

397 Dec 15, 2022
Flask app for deploying DigitalOcean droplet using Pulumi.

Droplet Deployer Simple Flask app which deploys a droplet onto Digital ocean. Behind the scenes there's Pulumi being used. Background I have been Terr

Ahmed Sajid 1 Oct 30, 2021
Implement Instagram with flask

Blue club The place where manly men live and breathe. Move to Notion Move to Fig

3 Apr 07, 2022
RestApi_flask_sql.alchemy - Product REST API With Flask & SQL Alchemy

REST API With Flask & SQL Alchemy Products API using Python Flask, SQL Alchemy and Marshmallow Quick Start Using Pipenv # Activate venv $ pipenv shell

amirwahla 1 Jan 01, 2022
Geometry Dash Song Bypass with Python Flask Server

Geometry Dash Song Bypass with Python Flask Server

pixelsuft‮ 1 Nov 16, 2021