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Python data validation with web in-mind

Project description

travis coverage pyver

Validation library for processing http endpoint arguments.

from flask import Flask

from covador import split, opt
from covador.flask import query_string

app = Flask(__name__)

@query_string(foo=opt(split(int), []))
def csv_argument(foo):
    return repr(foo)

# GET /?foo=1,2,3 -> [1, 2, 3]

if __name__ == '__main__':
  • Support for flask(0.x, 1.0.x, 1.1.x), django(1.x, 2.x), aiohttp(2.x, 3.x), tornado(3.x, 4.x, 5.x, 6.x) and sanic(0.x, 18.x, 19.x).

  • Simple creating of custom query_string/form/params/json_body/args wrappers.

  • Multi dict support via item multi param.

  • Multi dict keys support via item src param.

  • Simple interface for custom validators/processors it’s just a callable.

  • Maps, typed Maps, Lists, Tuples, Enums.

  • Validation chains: opt(default=[]) | split(separator=' ') | List(int) | (lambda it: it[:10]) or more concise opt(split(int, separator=' '), []) | operator.itemgetter(slice(10)) — an optional argument of space separated integers and we need top 10 items from it and it is empty by default.

  • Literal schema: schema(foo=[{'boo': int}]), validates {'foo': [{'boo': 10}, {'boo': 20}]}.

  • Bytes/unicode aware.

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