covador 0.6

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), default=[]))
def csv_argument(foo):
    return repr(foo)

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

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

• Support for flask, django and tornado.

• Simple creating of custom query_sttring/form/params wrappers.

• Multi dict support via item multi param.

• Multi dict keys support vial item source_key param.

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

• Maps, Lists, Tuples, Enums.

• Validation chains: opt(default=[]) | split(separator=' ') | List(int) | (lambda it: it[:10]) — optional argument space separated integers and we need top 10 items from it.

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

• Build-in splitter.

• byte/unicode aware.

• py2/py3 compatible.