#FLASK SQLITE JSONIFY INSTALL#

, regex = UUID_REGEX, description = 'ID of the user' ). def create_user (): ''' Request Json to create user that will be validated against UserModel ' class UserPathParamModel ( BaseModel ): user_id : str = Field (. route ( '/user/create', methods = ) ( body = UserCreateModel ) # Pass the model against body kwarg.

from typing import Optional from flask import current_app as flask_app, request from pydantic import BaseModel from flask_dantic import pydantic_validator class UserCreateModel ( BaseModel ): username : str age : Optional = None phone : Optional = None.

#FLASK SQLITE JSONIFY INSTALL#

Install with pip: pip install flask-danticĮxamples Validating body parameters # Using the Pydantic model for request. This package is compatible with Python >= 3.6 Installation There are options to include or exclude certain fields or exclude/include fields with null values. This comes handy if you are using pydantic models for request and response in Flask.Ī single serialize call will take care of validating the returned response as well as serializing it. It can validate the request params, query args and path args.Īlso, the package provides a serializer that serializes the database objects using the pydantic models. Flask-Dantic is a Python package that would enable users to use Pydantic models for validations and serialization, thus making it easy to link Flask with Pydantic.

Flask sqlite jsonify