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 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
Analytics snippets generator extension for the Flask framework.

Flask-Analytics Flask Analytics is an extension for Flask which generates analytics snippets for inclusion in templates. Installation $ pip install Fl

Mihir 80 Nov 30, 2022
REST API with mongoDB and Flask.

Flask REST API with mongoDB py 3.10 First, to install all dependencies: python -m pip install -r requirements.txt Second, into the ./src/ folder, cop

Luis Quiñones Requelme 3 Mar 05, 2022
A Fast API style support for Flask. Gives you MyPy types with the flexibility of flask

Flask-Fastx Flask-Fastx is a Fast API style support for Flask. It Gives you MyPy types with the flexibility of flask. Compatibility Flask-Fastx requir

Tactful.ai 18 Nov 26, 2022
Telegram bot + Flask API ( Make Introduction pages )

Introduction-Page-Maker Setup the api Upload the flask api on your host Setup requirements Make pages file on your host and upload the css and js and

Plugin 9 Feb 11, 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
A weather report application build with Python, Flask, and Geopy.

A weather report application build with Python, Flask, and Geopy. Requirements Python 3

Brandon Wallace 6 May 07, 2022
Learn REST API with Flask, Mysql and Docker

Learn REST API with Flask, Mysql and Docker A project for you to learn to work a flask REST api with docker and the mysql database manager! Table of C

Aldo Matus 0 Jul 31, 2021
Flask starter template for better structuring.

Flask Starter app Flask starter template for better structuring. use the starter plate step 1 : cloning this repo through git clone the repo git clone

Tirtharaj Sinha 1 Jul 26, 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
Rubik's cube assistant on Flask webapp

webcube Rubik's cube assistant on Flask webapp. This webapp accepts the six faces of your cube and gives you the voice instructions as a response. Req

Yash Indane 56 Nov 22, 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
Rate Limiting extension for Flask

Flask-Limiter Flask-Limiter provides rate limiting features to flask routes. It has support for a configurable backend for storage with current implem

Ali-Akber Saifee 922 Jan 08, 2023
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 v

249 Jan 06, 2023
Template for a rest app with flask, flask-rest and more...

Flask REST Template About the project (some comments): The ideia behind the project is to create an useful and simple template for an rest app . Besid

107 Nov 16, 2022
An Instagram Clone using Flask, Python, Redux, Thunk, React

An Instagram Clone using Flask, Python, Redux, Thunk, React

1 Dec 09, 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
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
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
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