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110f60da8e
This sets the regex to [a-zA-Z0-9_.][a-zA-Z0-9_.-]{0,30}[a-zA-Z0-9_.$-]?
Also change the validators to return True/False
450613, 457124
94 lines
2.8 KiB
Python
94 lines
2.8 KiB
Python
# Copyright (C) 2007-2008 Red Hat
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# see file 'COPYING' for use and warranty information
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#
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# This program is free software; you can redistribute it and/or
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# modify it under the terms of the GNU General Public License as
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# published by the Free Software Foundation; version 2 only
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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#
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from formencode.validators import *
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from formencode.compound import *
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from formencode.api import Invalid, NoDefault
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from formencode.schema import Schema
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from formencode import ForEach
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def _(s): return s # dummy
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class UniqueList(FancyValidator):
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"""
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Given a list, ensure that all of the values in it are unique.
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>>> x = UniqueList()
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>>> x.validate_python(['1','1'],'')
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Traceback (most recent call last):
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...
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formencode.api.Invalid: Duplicate values are not allowed
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>>> x.validate_python(['1','2'],'')
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>>>
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"""
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not_empty = None
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messages = {
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'notunique': _('Duplicate values are not allowed'),
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'empty': _('Empty values not allowed'),
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}
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def __initargs__(self, new_attrs):
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if self.not_empty is None:
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self.not_empty = True
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def validate_python(self, value, state):
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if not isinstance(value, list):
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return # just punt for now
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if self.not_empty:
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for v in value:
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if v is None or len(v) == 0:
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raise Invalid(self.message('empty', state),
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value, state)
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orig = len(value)
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check = len(set(value))
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if orig > check:
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raise Invalid(self.message('notunique', state),
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value, state)
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class GoodName(Regex):
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"""
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Test that the field contains only letters, numbers, underscore,
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dash, hyphen and $.
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Examples::
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>>> GoodName.to_python('_this9_')
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'_this9_'
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>>> GoodName.from_python(' this ')
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' this '
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>>> GoodName(accept_python=False).from_python(' this ')
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Traceback (most recent call last):
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...
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Invalid: Enter only letters, numbers, _ (underscore), - (dash) or $')
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>>> GoodName(strip=True).to_python(' this ')
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'this'
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>>> GoodName(strip=True).from_python(' this ')
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'this'
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"""
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regex = r"^[a-zA-Z0-9_.][a-zA-Z0-9_.-]{0,30}[a-zA-Z0-9_.$-]?$"
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messages = {
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'invalid': _('Enter only letters, numbers, _ (underscore), - (dash) or
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$'),
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}
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