covador 0.10.2

Python data validation with web in-mind

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__)

@app.route('/')
@query_string(foo=opt(split(int), []))
def csv_argument(foo):
    return repr(foo)

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

if __name__ == '__main__':
    app.run()

• 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.