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
SQLAlchemy database migrations for Flask applications using Alembic

Flask-Migrate Flask-Migrate is an extension that handles SQLAlchemy database migrations for Flask applications using Alembic. The database operations

Miguel Grinberg 2.2k Dec 28, 2022
Seamlessly serve your static assets of your Flask app from Amazon S3

flask-s3 Seamlessly serve the static assets of your Flask app from Amazon S3. Maintainers Flask-S3 is maintained by @e-dard, @eriktaubeneck and @SunDw

Edd Robinson 188 Aug 24, 2022
Formatting of dates and times in Flask templates using moment.js.

Flask-Moment This extension enhances Jinja2 templates with formatting of dates and times using moment.js. Quick Start Step 1: Initialize the extension

Miguel Grinberg 358 Nov 28, 2022
A flask template with Bootstrap 4, asset bundling+minification with webpack, starter templates, and registration/authentication.

cookiecutter-flask A Flask template for cookiecutter. (Supports Python ≥ 3.6) See this repo for an example project generated from the most recent vers

4.3k Jan 06, 2023
A gRpc server like Flask (像Flask一样的gRpc服务)

Mask A gRpc server just like Flask. Install Mask support pypi packages, you can simply install by: pip install mask Document Mask manual could be fou

吴东 16 Jun 14, 2022
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
Flask extension for Pusher

Flask-Pusher Flask extension for Pusher. It is a thin wrapper around the official client, binding Flask app to Pusher client. Installation Install Fla

Iuri de Silvio 9 May 29, 2021
Flask Sitemapper is a small Python 3 package that generates XML sitemaps for Flask applications.

Flask Sitemapper Flask Sitemapper is a small Python 3 package that generates XML sitemaps for Flask applications. This allows you to create a nice and

6 Jan 06, 2023
Flask-Starter is a boilerplate starter template designed to help you quickstart your Flask web application development.

Flask-Starter Flask-Starter is a boilerplate starter template designed to help you quickstart your Flask web application development. It has all the r

Kundan Singh 259 Dec 26, 2022
Socket.IO integration for Flask applications.

Flask-SocketIO Socket.IO integration for Flask applications. Installation You can install this package as usual with pip: pip install flask-socketio

Miguel Grinberg 4.9k Jan 02, 2023
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
flask extension for integration with the awesome pydantic package

Flask-Pydantic Flask extension for integration of the awesome pydantic package with Flask. Installation python3 -m pip install Flask-Pydantic Basics U

248 Dec 26, 2022
Open-source Flask Sample built on top of flask-dance library

Open-source Flask Sample built on top of flask-dance library. The project implements the social login for Github and Twitter - Originally coded by TestDriven.IO.

App Generator 4 Jul 26, 2022
A web application for a fake pizza store, built in Python with Flask and PostgreSQL.

✨ Pizza Pizza - Pizza Store ✨ A web application for a fake Pizza Store, the app let you create an account and order pizza, complements or drinks. Buil

Bonnie Fave 6 Dec 18, 2022
Map Matching & Weight Completion service - Java (Springboot) & Python(Flask)

Map Matching service to match coordinates to roads using Java and Springboot. Weight Completion service to fill in missing weights in a graph, using Python and Flask.

2 May 13, 2022
Flask-template - A simple template for make an flask api

flask-template By GaGoU :3 a simple template for make an flask api notes: you ca

GaGoU 2 Feb 17, 2022
A simple example using Flask inside a container

This is a simple example of how create a container for a Python Flask Web Application using Docker.

Fazt Web 8 Aug 30, 2022
A Flask wrapper of Starknet state. Similar in purpose to Ganache.

Introduction A Flask wrapper of Starknet state. Similar in purpose to Ganache. Aims to mimic Starknet's Alpha testnet, but with simplified functionali

Shard Labs 159 Jan 04, 2023
Boilerplate template formwork for a Python Flask application with Mysql,Build dynamic websites rapidly.

Overview English | 简体中文 How to Build dynamic web rapidly? We choose Formwork-Flask. Formwork is a highly packaged Flask Demo. It's intergrates various

aswallz 81 May 16, 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