/usr/lib/python3/dist-packages/pycadf/credential.py is in python3-pycadf 2.4.0-1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 | # Copyright (c) 2013 IBM Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under
# the License.
import six
from pycadf import cadftype
from pycadf import utils
TYPE_URI_CRED = cadftype.CADF_VERSION_1_0_0 + 'credential'
CRED_KEYNAME_TYPE = "type"
CRED_KEYNAME_TOKEN = "token"
CRED_KEYNAMES = [CRED_KEYNAME_TYPE,
CRED_KEYNAME_TOKEN]
FED_CRED_KEYNAME_IDENTITY_PROVIDER = "identity_provider"
FED_CRED_KEYNAME_USER = "user"
FED_CRED_KEYNAME_GROUPS = "groups"
FED_CRED_KEYNAMES = CRED_KEYNAMES + [FED_CRED_KEYNAME_IDENTITY_PROVIDER,
FED_CRED_KEYNAME_USER,
FED_CRED_KEYNAME_GROUPS]
class Credential(cadftype.CADFAbstractType):
type = cadftype.ValidatorDescriptor(
CRED_KEYNAME_TYPE,
lambda x: isinstance(x, six.string_types))
token = cadftype.ValidatorDescriptor(
CRED_KEYNAME_TOKEN,
lambda x: isinstance(x, six.string_types))
def __init__(self, token, type=None):
"""Create Credential data type
:param token: identity or security token
:param type: type of credential (ie. identity token)
"""
# Credential.token
setattr(self, CRED_KEYNAME_TOKEN, utils.mask_value(token))
# Credential.type
if type is not None:
setattr(self, CRED_KEYNAME_TYPE, type)
# TODO(mrutkows): validate this cadf:Credential type against schema
def is_valid(self):
"""Validation to ensure Credential required attributes are set."""
# TODO(mrutkows): validate specific attribute type/format
return self._isset(CRED_KEYNAME_TOKEN)
class FederatedCredential(Credential):
identity_provider = cadftype.ValidatorDescriptor(
FED_CRED_KEYNAME_IDENTITY_PROVIDER,
lambda x: isinstance(x, six.string_types))
user = cadftype.ValidatorDescriptor(
FED_CRED_KEYNAME_USER,
lambda x: isinstance(x, six.string_types))
groups = cadftype.ValidatorDescriptor(
FED_CRED_KEYNAME_GROUPS,
lambda x: isinstance(x, list))
def __init__(self, token, type, identity_provider, user, groups):
super(FederatedCredential, self).__init__(
token=token,
type=type)
# FederatedCredential.identity_provider
setattr(self, FED_CRED_KEYNAME_IDENTITY_PROVIDER, identity_provider)
# FederatedCredential.user
setattr(self, FED_CRED_KEYNAME_USER, user)
# FederatedCredential.groups
setattr(self, FED_CRED_KEYNAME_GROUPS, groups)
def is_valid(self):
"""Validation to ensure Credential required attributes are set."""
return (
super(FederatedCredential, self).is_valid()
and self._isset(CRED_KEYNAME_TYPE)
and self._isset(FED_CRED_KEYNAME_IDENTITY_PROVIDER)
and self._isset(FED_CRED_KEYNAME_USER)
and self._isset(FED_CRED_KEYNAME_GROUPS))
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