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324 lines
12 KiB
Python
324 lines
12 KiB
Python
# (c) 2012-2014, Michael DeHaan <michael.dehaan@gmail.com>
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#
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# This file is part of Ansible
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#
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# Ansible is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Ansible 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 Ansible. If not, see <http://www.gnu.org/licenses/>.
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# Make coding more python3-ish
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from __future__ import (absolute_import, division, print_function)
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__metaclass__ = type
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import uuid
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from functools import partial
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from inspect import getmembers
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from io import FileIO
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from six import iteritems, string_types
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from jinja2.exceptions import UndefinedError
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from ansible.errors import AnsibleParserError
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from ansible.parsing import DataLoader
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from ansible.playbook.attribute import Attribute, FieldAttribute
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from ansible.template import Templar
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from ansible.utils.boolean import boolean
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from ansible.utils.debug import debug
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from ansible.template import template
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class Base:
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def __init__(self):
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# initialize the data loader and variable manager, which will be provided
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# later when the object is actually loaded
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self._loader = None
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self._variable_manager = None
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# every object gets a random uuid:
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self._uuid = uuid.uuid4()
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# and initialize the base attributes
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self._initialize_base_attributes()
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# The following three functions are used to programatically define data
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# descriptors (aka properties) for the Attributes of all of the playbook
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# objects (tasks, blocks, plays, etc).
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#
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# The function signature is a little strange because of how we define
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# them. We use partial to give each method the name of the Attribute that
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# it is for. Since partial prefills the positional arguments at the
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# beginning of the function we end up with the first positional argument
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# being allocated to the name instead of to the class instance (self) as
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# normal. To deal with that we make the property name field the first
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# positional argument and self the second arg.
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#
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# Because these methods are defined inside of the class, they get bound to
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# the instance when the object is created. After we run partial on them
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# and put the result back into the class as a property, they get bound
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# a second time. This leads to self being placed in the arguments twice.
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# To work around that, we mark the functions as @staticmethod so that the
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# first binding to the instance doesn't happen.
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@staticmethod
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def _generic_g(prop_name, self):
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method = "_get_attr_%s" % prop_name
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if method in dir(self):
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return getattr(self, method)()
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return self._attributes[prop_name]
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@staticmethod
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def _generic_s(prop_name, self, value):
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self._attributes[prop_name] = value
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@staticmethod
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def _generic_d(prop_name, self):
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del self._attributes[prop_name]
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def _get_base_attributes(self):
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'''
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Returns the list of attributes for this class (or any subclass thereof).
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If the attribute name starts with an underscore, it is removed
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'''
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base_attributes = dict()
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for (name, value) in getmembers(self.__class__):
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if isinstance(value, Attribute):
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if name.startswith('_'):
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name = name[1:]
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base_attributes[name] = value
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return base_attributes
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def _initialize_base_attributes(self):
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# each class knows attributes set upon it, see Task.py for example
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self._attributes = dict()
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for (name, value) in self._get_base_attributes().items():
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getter = partial(self._generic_g, name)
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setter = partial(self._generic_s, name)
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deleter = partial(self._generic_d, name)
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# Place the property into the class so that cls.name is the
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# property functions.
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setattr(Base, name, property(getter, setter, deleter))
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# Place the value into the instance so that the property can
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# process and hold that value/
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setattr(self, name, value.default)
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def preprocess_data(self, ds):
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''' infrequently used method to do some pre-processing of legacy terms '''
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for base_class in self.__class__.mro():
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method = getattr(self, "_preprocess_data_%s" % base_class.__name__.lower(), None)
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if method:
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return method(ds)
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return ds
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def load_data(self, ds, variable_manager=None, loader=None):
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''' walk the input datastructure and assign any values '''
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assert ds is not None
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# the variable manager class is used to manage and merge variables
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# down to a single dictionary for reference in templating, etc.
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self._variable_manager = variable_manager
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# the data loader class is used to parse data from strings and files
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if loader is not None:
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self._loader = loader
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else:
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self._loader = DataLoader()
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if isinstance(ds, string_types) or isinstance(ds, FileIO):
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ds = self._loader.load(ds)
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# call the preprocess_data() function to massage the data into
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# something we can more easily parse, and then call the validation
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# function on it to ensure there are no incorrect key values
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ds = self.preprocess_data(ds)
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self._validate_attributes(ds)
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# Walk all attributes in the class.
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#
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# FIXME: we currently don't do anything with private attributes but
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# may later decide to filter them out of 'ds' here.
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for name in self._get_base_attributes():
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# copy the value over unless a _load_field method is defined
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if name in ds:
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method = getattr(self, '_load_%s' % name, None)
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if method:
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self._attributes[name] = method(name, ds[name])
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else:
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self._attributes[name] = ds[name]
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# run early, non-critical validation
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self.validate()
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# cache the datastructure internally
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setattr(self, '_ds', ds)
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# return the constructed object
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return self
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def get_ds(self):
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try:
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return getattr(self, '_ds')
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except AttributeError:
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return None
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def get_loader(self):
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return self._loader
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def get_variable_manager(self):
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return self._variable_manager
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def _validate_attributes(self, ds):
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'''
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Ensures that there are no keys in the datastructure which do
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not map to attributes for this object.
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'''
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valid_attrs = frozenset(name for name in self._get_base_attributes())
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for key in ds:
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if key not in valid_attrs:
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raise AnsibleParserError("'%s' is not a valid attribute for a %s" % (key, self.__class__.__name__), obj=ds)
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def validate(self, all_vars=dict()):
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''' validation that is done at parse time, not load time '''
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# walk all fields in the object
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for (name, attribute) in iteritems(self._get_base_attributes()):
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# run validator only if present
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method = getattr(self, '_validate_%s' % name, None)
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if method:
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method(attribute, name, getattr(self, name))
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def copy(self):
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'''
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Create a copy of this object and return it.
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'''
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new_me = self.__class__()
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for name in self._get_base_attributes():
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setattr(new_me, name, getattr(self, name))
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new_me._loader = self._loader
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new_me._variable_manager = self._variable_manager
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return new_me
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def post_validate(self, all_vars=dict(), fail_on_undefined=True):
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'''
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we can't tell that everything is of the right type until we have
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all the variables. Run basic types (from isa) as well as
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any _post_validate_<foo> functions.
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'''
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basedir = None
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if self._loader is not None:
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basedir = self._loader.get_basedir()
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templar = Templar(loader=self._loader, variables=all_vars, fail_on_undefined=fail_on_undefined)
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for (name, attribute) in iteritems(self._get_base_attributes()):
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if getattr(self, name) is None:
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if not attribute.required:
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continue
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else:
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raise AnsibleParserError("the field '%s' is required but was not set" % name)
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try:
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# if the attribute contains a variable, template it now
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value = templar.template(getattr(self, name))
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# run the post-validator if present
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method = getattr(self, '_post_validate_%s' % name, None)
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if method:
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value = method(attribute, value, all_vars, fail_on_undefined)
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else:
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# otherwise, just make sure the attribute is of the type it should be
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if attribute.isa == 'string':
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value = unicode(value)
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elif attribute.isa == 'int':
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value = int(value)
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elif attribute.isa == 'bool':
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value = boolean(value)
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elif attribute.isa == 'list':
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if not isinstance(value, list):
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value = [ value ]
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elif attribute.isa == 'dict' and not isinstance(value, dict):
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raise TypeError()
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# and assign the massaged value back to the attribute field
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setattr(self, name, value)
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except (TypeError, ValueError), e:
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raise AnsibleParserError("the field '%s' has an invalid value (%s), and could not be converted to an %s. Error was: %s" % (name, value, attribute.isa, e), obj=self.get_ds())
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except UndefinedError, e:
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if fail_on_undefined:
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raise AnsibleParserError("the field '%s' has an invalid value, which appears to include a variable that is undefined. The error was: %s" % (name,e), obj=self.get_ds())
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def serialize(self):
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'''
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Serializes the object derived from the base object into
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a dictionary of values. This only serializes the field
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attributes for the object, so this may need to be overridden
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for any classes which wish to add additional items not stored
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as field attributes.
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'''
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repr = dict()
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for name in self._get_base_attributes():
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repr[name] = getattr(self, name)
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# serialize the uuid field
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repr['uuid'] = getattr(self, '_uuid')
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return repr
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def deserialize(self, data):
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'''
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Given a dictionary of values, load up the field attributes for
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this object. As with serialize(), if there are any non-field
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attribute data members, this method will need to be overridden
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and extended.
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'''
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assert isinstance(data, dict)
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for (name, attribute) in iteritems(self._get_base_attributes()):
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if name in data:
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setattr(self, name, data[name])
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else:
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setattr(self, name, attribute.default)
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# restore the UUID field
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setattr(self, '_uuid', data.get('uuid'))
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def __getstate__(self):
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return self.serialize()
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def __setstate__(self, data):
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self.__init__()
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self.deserialize(data)
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