Flask-Pydantic 0.14.0

Flask extension for integration with Pydantic library.

Flask-Pydantic

Flask extension for integration of the awesome pydantic package with Flask.

Pallets Community Ecosystem

[!IMPORTANT]
This project is part of the Pallets Community Ecosystem. Pallets is the open source organization that maintains Flask; Pallets-Eco enables community maintenance of Flask extensions. If you are interested in helping maintain this project, please reach out on the Pallets Discord server.

Installation

python3 -m pip install Flask-Pydantic

Basics

URL query and body parameters

validate decorator validates query, body and form-data 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
form	form_params

2. 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.

:exclamation: 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] = None

# 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

# Example 2: URL path parameter only
@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] = None

# Example 3: 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 4: 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

Example 5: Request form-data only

class RequestFormDataModel(BaseModel):
  name: str
  nickname: Optional[str] = None

# Example 5: request form only
@app.route("/", methods=["POST"])
@validate()
def post(form: RequestFormDataModel):
  name = form.name
  nickname = form.nickname
  return ResponseModel(
    name=name, nickname=nickname,id=0, age=1000
    )

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):
    ...
    model_config = ConfigDict(
        alias_generator=modify_key,
        populate_by_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)

Additionally, you can set FLASK_PYDANTIC_VALIDATION_ERROR_RAISE to True to cause flask_pydantic.ValidationError to be raised with either body_params, form_params, path_params, or query_params set as a list of error dictionaries. You can use flask.Flask.register_error_handler to catch that exception and fully customize the output response for a validation error.

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/pallets-eco/flask_pydantic.git
  cd flask_pydantic
  

• create virtual environment and activate it

  python3 -m venv venv
  source venv/bin/activate
  

• install runtime dependencies

  python3 -m pip install -e .
  

• install development requirements

  python3 -m pip install -r requirements/test.txt
  

• checkout new branch and make your desired changes (don't forget to update tests)

  git checkout -b <your_branch_name>
  

• make sure your code style is compliant with Ruff. Your can check these errors and automatically correct some of them with ruff check --select I --fix .
• run tests and check code format

  python3 -m pytest --ruff --ruff-format
  

• push your changes and create a pull request to master branch

TODOs:

• header request parameters
• cookie request parameters