procrustes 0.2.1

Validators

Most simple what you can to do with procrustes is build validator and use it:

>>> from procrustes import validators as v
>>> two_strings_v = v.Tuple(v.String(), v.String())
>>> auth = two_strings_v(['login', 'password'])
>>> auth.data
('login', 'password')
>>> auth.errors
[]
>>> auth = two_strings_v(['login'])
>>> auth.data
>>> auth.errors
['Must be iterable of length 2']

We have very powerful List:

>>> list_of_pairs_v = v.List(two_strings_v)
>>> pairs = list_of_pairs_v([(str(x), str(x)) for x in xrange(10)])
>>> pairs.data
[('0', '0'), ('1', '1'), ('2', '2'), ('3', '3'), ('4', '4'), ('5', '5'), ('6', '6'), ('7', '7'), ('8', '8'), ('9', '9')]
>>> pairs.errors
[]

List, Tuple and Dict are recursive, so you can build any data structure you want.

Dict example:

>>> dict_v = v.Dict({'pair': two_strings_v, 'pairs': list_of_pairs_v})
>>> data = dict_v({'pair': ['a', 'b'], 'pairs': [['a', 'b'], ['c', 'd']]})
>>> data.data
{'pair': ('a', 'b'), 'pairs': [('a', 'b'), ('c', 'd')]}
>>> data.errors
[]

Validators have required keyword argument:

>>> two_strings_v = v.Tuple(v.String(), v.String(), required=False)
>>> dict_v = v.Dict({'pair': two_strings_v, 'pairs': list_of_pairs_v})
>>> data = dict_v({'pairs': [['a', 'b'], ['c', 'd']]})
>>> data.data
{'pair': None, 'pairs': [('a', 'b'), ('c', 'd')]}
>>> data.errors
[]

Flat

Procrustes can flat data:

>>> list(data.flatten())
[('pairs__0__0', 'a'), ('pairs__0__1', 'b'), ('pairs__1__0', 'c'), ('pairs__1__1', 'd')]

And unflat it back:

>>> dict_v.deepen(dict([('pairs__0__0', 'a'), ('pairs__0__1', 'b'), ('pairs__1__0', 'c'), ('pairs__1__1', 'd')]))
{'pair': (None, None), 'pairs': [('c', 'd'), ('a', 'b')]}

Forms

Forms derived from validators and implemented as mixins to them. Every Field can work as form. Your form may consist from one forms.String(). In addition to validators forms adds methods widgets, template_widgets, unflat and is_valid.