GitHub - pallets-eco/flask-pydantic: flask extension for integration with the awesome pydantic package (original) (raw)
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:
parameter type | request attribute name |
---|---|
query | query_params |
body | body_params |
form | form_params |
URL path parameter
If you use annotated path URL path parameters as follows
@app.route("/users/", 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 ofvalidate
decorator. response_many
parameter set toTrue
enables serialization of multiple models (route function should therefore return iterable of models).request_body_many
parameter set toFalse
analogically enables serialization of multiple models inside of the root level of request body. If the request body doesn't contain an array of objects400
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] = 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" )
age
query parameter is a requiredint
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//", 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
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 )
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 )
Example 5: Request form-data only
class RequestFormDataModel(BaseModel): name: str nickname: Optional[str] = None
Example2: request body 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 )
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 configFLASK_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 causeflask_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 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 - 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