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
Find and notify users in your Active Directory with weak passwords

Crack-O-Matic Find and notify users in your Active Directory with weak passwords. Features: Linux-based Flask-based web app Hashcat or John cracker Au

Adrian Vollmer 92 Dec 31, 2022
Guitar tabs web app for guitar fans, powered by Python/Flask

Guitar123 version 0.8.5 Guitar tabs web app for guitar fans, powered by Python/Flask Features Guitar tabs search and browse Easy to use for end user a

lowrain 48 Dec 27, 2022
Flask-Bcrypt is a Flask extension that provides bcrypt hashing utilities for your application.

Flask-Bcrypt Flask-Bcrypt is a Flask extension that provides bcrypt hashing utilities for your application. Due to the recent increased prevelance of

Max Countryman 310 Dec 14, 2022
Flask Project Template A full feature Flask project template.

Flask Project Template A full feature Flask project template. See also Python-Project-Template for a lean, low dependency Python app. HOW TO USE THIS

Bruno Rocha 96 Dec 23, 2022
Paid roles for discord using Stripe, Python, Flask & Docker

Welcome to Paycord Paid roles for discord using Stripe, Python, Flask & Docker. Setup Production On stripe dashboard, go Developers ➡️ Webhooks ➡️ Add

Ward 12 Dec 28, 2022
The Snoopy boilerplate in flask framework for development enterprise application.

Snoopy What is snoopy! The "Snoopy" boilerplate in flask framework for development enterprise application. Motivation In my 10 years of development ex

Bekhzod 2 Sep 29, 2022
A Flask app template with integrated SQLAlchemy, authentication, and Bootstrap frontend

Flask-Bootstrap Flask-Bootstrap is an Flask app template for users to clone and customize as desired, as opposed to a Flask extension that you can ins

Eric S. Bullington 204 Dec 26, 2022
docker-compose uWSGI nginx flask

docker-compose uWSGI nginx flask Note that this was tested on CentOS 7 Usage sudo yum install docker

Abdolkarim Saeedi 3 Sep 11, 2022
Geometry Dash Song Bypass with Python Flask Server

Geometry Dash Song Bypass with Python Flask Server

pixelsuft‮ 1 Nov 16, 2021
An python flask app with webserver example

python-flask-example-keepalive How it works? Basically its just a python flask webserver which can be used to keep any repl/herokuapp or any other ser

KangersHub 2 Sep 28, 2022
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
API to get the details of the characters in the Money heist TV show.

Project Heist Description: Project Heist is a RESTful API made using Python and Flask. This API is inspired by the popular Spanish TV show Money Heist

Rahul V 5 Dec 19, 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
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 app + (html+css+ajax) contain ability add employee and place where employee work - plant or salon

#Manage your employees! With all employee information stored in one place, you no longer have to sift through hoards of spreadsheets to manually searc

Kateryna 1 Dec 22, 2021
A solid foundation for your flask app

Flask Foundation There is a cookiecutter version of this repo at https://github.com/JackStouffer/cookiecutter-Flask-Foundation. Documentation is locat

Jack Stouffer 1.3k Dec 11, 2022
A YouTube webscraper made with flask.

YouTube Webscraper This website is for you to check all the stats on your favorite Youtube video! Technologies Python Flask HTML CSS Pafy Contributing

Proconsulates 3 Nov 25, 2021
A simple Task todo application built with Flask

Task TODO Table An application built with Flask a Python framework and hosted on Heroku. Important notes GuniCorn (Green Unicorn): is a Python WSGI HT

DCN (Dubem Celestine Nwabuisi) 1 Dec 15, 2021
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
a flask profiler which watches endpoint calls and tries to make some analysis.

Flask-profiler version: 1.8 Flask-profiler measures endpoints defined in your flask application; and provides you fine-grained report through a web in

Mustafa Atik 718 Dec 20, 2022