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
A python package for integrating ripozo with Flask

flask-ripozo This package provides a dispatcher for ripozo so that you can integrate ripozo with Flask. As with all dispatchers it is simply for getti

Vertical Knowledge 14 Dec 03, 2018
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
Mixer -- Is a fixtures replacement. Supported Django, Flask, SqlAlchemy and custom python objects.

The Mixer is a helper to generate instances of Django or SQLAlchemy models. It's useful for testing and fixture replacement. Fast and convenient test-

Kirill Klenov 870 Jan 08, 2023
Beautiful Interactive tables in your Flask templates.

flask-tables Beautiful interactive tables in your Flask templates Resources Video demonstration: Go to YouTube video. Learn how to use this code: Go t

Miguel Grinberg 209 Jan 05, 2023
A swagger 2.0 spec extractor for flask

flask-swagger A Swagger 2.0 spec extractor for Flask You can now specify base path for yml files: app = Flask(__name__) @app.route("/spec") def spec(

Sling 457 Dec 02, 2022
Force SSL on your Flask app.

Flask-SSLify This is a simple Flask extension that configures your Flask application to redirect all incoming requests to HTTPS. The extension is no l

Kenneth Reitz 26 Dec 07, 2022
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
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
Python Flask API service, backed by DynamoDB, running on AWS Lambda using the traditional Serverless Framework.

Serverless Framework Python Flask API service backed by DynamoDB on AWS Python Flask API service, backed by DynamoDB, running on AWS Lambda using the

Andreu Jové 0 Apr 17, 2022
Alexa Skills Kit for Python

Program the Amazon Echo with Python Flask-Ask is a Flask extension that makes building Alexa skills for the Amazon Echo easier and much more fun. Flas

John Wheeler 1.9k Dec 30, 2022
With Flask. Everything in a JSON.

Little Library REST API py 3.10 The only one requeriment it's to have Flask installed. To run this, in ./src/(if you're in PS): $env:FLASK_APP="app

Luis Quiñones Requelme 1 Dec 15, 2021
This is a small notes web app, with python and flask microframework. Using sqlite3

Python Notes App. This is a small web application maked with flask-python for add notes easily and quickly. Dependencies. You can create a virtual env

Eduard 1 Dec 26, 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
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 demo of using aiogram + async sqlalchemy 1.4+

aiogram-and-sqlalchemy-demo A simple demo of using aiogram + async sqlalchemy 1.4+ Used tech: aiogram SQLAlchemy 1.4+ PostgreSQL as database asyncpg a

Aleksandr 68 Dec 31, 2022
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 web application made with Flask that works with a weather service API to get the current weather from all over the world.

Weather App A web application made with Flask that works with a weather service API to get the current weather from all over the world. Uses data from

Christian Jairo Sarmiento 19 Dec 02, 2022
Implement Instagram with flask

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

3 Apr 07, 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
An Instagram Clone using Flask, Python, Redux, Thunk, React

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

1 Dec 09, 2021