flask-request-validator 2.1.1

How to install:

$ pip install flask_request_validator

How to use:

There are 4 types of request parameters:

GET - parameter stored in flask.request.args

FORM - parameter stored in flask.request.form

JSON - parameter stored in flask.request.get_json()

PATH - parameter stored in flask.request.view_args. In this case is part of route

Here a list of possible rules for validation:

Pattern(r'^[a-z-_.]{8,10}$') - value checks at regexp. Works only for str values.

MaxLength(6) - value checks at max length. Works for str and list values.

MixLength(6) - value checks at min length. Works for str and list values.

Enum('value1', 'value2') - describes allowed values

AbstractRule - provide possibility to write custom rule

Supported types for values:

str, bool, int, float, dict, list

bool should be sent from client as: 1, 0, or true / false in any register

list should be sent from client as value1,value2,value3.

dict should be sent from client as key1:val1,key2:val2.

Here an example of route with validator:

from flask_request_validator import (
    PATH,
    FORM,
    Param,
    Pattern,
    validate_params
)


@app.route('/<string:uuid>', methods=['POST'])
@validate_params(
    Param('uuid', PATH, str, rules=[Pattern(r'^[a-z-_.]{8,10}$')]),
    Param('price', FORM, float),
)
def route(uuid, price):
    print uuid # str
    print price # float

Param description:

Param(
    param_name_in_request, # str
    request_param_type, # where stored param(GET, FORM, JSON, PATH)
    type_of_value, # str, bool, int, float, dict, list - which type we want to have
    required_or_no, bool - True by default
    default_value, None by default. You can use lambda for this arg - default=lambda: ['test']
    list_of_rules
)

One more example(request /orders?finished=True&amount=100):

@app.route('/orders', methods=['GET'])
@validate_params(
    Param('finished', GET, bool, required=False),
    Param('amount', GET, int, required=False),
)
def route(finished, amount):
    print finished # True (bool)
    print amount # 100 (int)

Also you can create your custom rule. Here is a small example:

from flask_request_validator import AbstractRule


def reserved_values():
    return ['today', 'tomorrow']


class MyRule(AbstractRule):

    def validate(self, value):
        errors = []
        if value in reserved_values():
            errors.append('Value %s is reserved' % value)

        # other errors...
        errors.append('One more error')

        return errors


@app.route('/')
@validate_params(
    Param('day', GET, str, False, rules=[MyRule()])
)
def hi(day):
    return day

Open ?day=today. You will see the exception:

InvalidRequest: Invalid request data. {"day": ["Value today is reserved", "One more error"]}

Also you can combine rules(CompositeRule) for frequent using:

from flask_request_validator import CompositeRule


name_rule = CompositeRule(Pattern(r'^[a-z-_.]{8,10}$'), one_more_rule, your_custom_rule, etc...)


@app.route('/person')
@validate_params(
    Param('first_name', GET, str, rules=name_rule),
    # other params is just example
    Param('streets', GET, list), should be sent as string `street1,stree2`
    Param('city', GET, str, rules=[Enum('Minsk')]),
    Param('meta', GET, dict), # should be sent as string `key1:val1,key2:val2`
)
def route_one(first_name, streets, city, meta):
    # print(first_name) (str)
    # print(streets) (list)
    # print(city) (str)
    # print(meta) (dict)