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570 lines
23 KiB
Python
570 lines
23 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 itertools
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import operator
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from copy import copy as shallowcopy
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from functools import partial
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from jinja2.exceptions import UndefinedError
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from ansible.module_utils.six import iteritems, string_types, with_metaclass
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from ansible.errors import AnsibleParserError, AnsibleUndefinedVariable
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from ansible.module_utils._text import to_text
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from ansible.playbook.attribute import Attribute, FieldAttribute
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from ansible.parsing.dataloader import DataLoader
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from ansible.constants import mk_boolean as boolean
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from ansible.utils.vars import combine_vars, isidentifier, get_unique_id
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try:
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from __main__ import display
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except ImportError:
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from ansible.utils.display import Display
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display = Display()
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def _generic_g(prop_name, self):
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try:
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return self._attributes[prop_name]
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except KeyError:
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raise AttributeError("'%s' object has no attribute '%s'" % (self.__class__.__name__, prop_name))
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def _generic_g_method(prop_name, self):
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try:
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if self._squashed:
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return self._attributes[prop_name]
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method = "_get_attr_%s" % prop_name
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return getattr(self, method)()
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except KeyError:
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raise AttributeError("'%s' object has no attribute '%s'" % (self.__class__.__name__, prop_name))
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def _generic_g_parent(prop_name, self):
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try:
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value = self._attributes[prop_name]
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if value is None and not self._squashed and not self._finalized:
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try:
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value = self._get_parent_attribute(prop_name)
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except AttributeError:
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pass
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except KeyError:
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raise AttributeError("'%s' object has no attribute '%s'" % (self.__class__.__name__, prop_name))
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return value
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def _generic_s(prop_name, self, value):
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self._attributes[prop_name] = value
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def _generic_d(prop_name, self):
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del self._attributes[prop_name]
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class BaseMeta(type):
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"""
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Metaclass for the Base object, which is used to construct the class
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attributes based on the FieldAttributes available.
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"""
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def __new__(cls, name, parents, dct):
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def _create_attrs(src_dict, dst_dict):
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'''
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Helper method which creates the attributes based on those in the
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source dictionary of attributes. This also populates the other
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attributes used to keep track of these attributes and via the
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getter/setter/deleter methods.
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'''
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keys = list(src_dict.keys())
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for attr_name in keys:
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value = src_dict[attr_name]
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if isinstance(value, Attribute):
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if attr_name.startswith('_'):
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attr_name = attr_name[1:]
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# here we selectively assign the getter based on a few
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# things, such as whether we have a _get_attr_<name>
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# method, or if the attribute is marked as not inheriting
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# its value from a parent object
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method = "_get_attr_%s" % attr_name
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if method in src_dict or method in dst_dict:
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getter = partial(_generic_g_method, attr_name)
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elif ('_get_parent_attribute' in dst_dict or '_get_parent_attribute' in src_dict) and value.inherit:
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getter = partial(_generic_g_parent, attr_name)
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else:
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getter = partial(_generic_g, attr_name)
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setter = partial(_generic_s, attr_name)
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deleter = partial(_generic_d, attr_name)
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dst_dict[attr_name] = property(getter, setter, deleter)
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dst_dict['_valid_attrs'][attr_name] = value
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dst_dict['_attributes'][attr_name] = value.default
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def _process_parents(parents, dst_dict):
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'''
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Helper method which creates attributes from all parent objects
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recursively on through grandparent objects
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'''
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for parent in parents:
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if hasattr(parent, '__dict__'):
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_create_attrs(parent.__dict__, dst_dict)
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new_dst_dict = parent.__dict__.copy()
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new_dst_dict.update(dst_dict)
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_process_parents(parent.__bases__, new_dst_dict)
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# create some additional class attributes
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dct['_attributes'] = dict()
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dct['_valid_attrs'] = dict()
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# now create the attributes based on the FieldAttributes
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# available, including from parent (and grandparent) objects
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_create_attrs(dct, dct)
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_process_parents(parents, dct)
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return super(BaseMeta, cls).__new__(cls, name, parents, dct)
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class Base(with_metaclass(BaseMeta, object)):
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# connection/transport
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_connection = FieldAttribute(isa='string')
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_port = FieldAttribute(isa='int')
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_remote_user = FieldAttribute(isa='string')
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# variables
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_vars = FieldAttribute(isa='dict', priority=100, inherit=False)
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# flags and misc. settings
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_environment = FieldAttribute(isa='list')
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_no_log = FieldAttribute(isa='bool')
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_always_run = FieldAttribute(isa='bool')
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_run_once = FieldAttribute(isa='bool')
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_ignore_errors = FieldAttribute(isa='bool')
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_check_mode = FieldAttribute(isa='bool')
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_any_errors_fatal = FieldAttribute(isa='bool', default=False, always_post_validate=True)
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# param names which have been deprecated/removed
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DEPRECATED_ATTRIBUTES = [
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'sudo', 'sudo_user', 'sudo_pass', 'sudo_exe', 'sudo_flags',
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'su', 'su_user', 'su_pass', 'su_exe', 'su_flags',
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]
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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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# other internal params
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self._validated = False
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self._squashed = False
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self._finalized = False
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# every object gets a random uuid:
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self._uuid = get_unique_id()
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# we create a copy of the attributes here due to the fact that
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# it was initialized as a class param in the meta class, so we
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# need a unique object here (all members contained within are
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# unique already).
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self._attributes = self._attributes.copy()
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# and init vars, avoid using defaults in field declaration as it lives across plays
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self.vars = dict()
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def dump_me(self, depth=0):
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if depth == 0:
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print("DUMPING OBJECT ------------------------------------------------------")
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print("%s- %s (%s, id=%s)" % (" " * depth, self.__class__.__name__, self, id(self)))
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if hasattr(self, '_parent') and self._parent:
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self._parent.dump_me(depth + 2)
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dep_chain = self._parent.get_dep_chain()
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if dep_chain:
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for dep in dep_chain:
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dep.dump_me(depth + 2)
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if hasattr(self, '_play') and self._play:
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self._play.dump_me(depth + 2)
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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, 'ds (%s) should not be None but it is.' % ds
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# cache the datastructure internally
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setattr(self, '_ds', ds)
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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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# 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. We sort them based on their priority
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# so that certain fields can be loaded before others, if they are dependent.
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for name, attr in sorted(iteritems(self._valid_attrs), key=operator.itemgetter(1)):
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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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# 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(self._valid_attrs.keys())
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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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if not self._validated:
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# walk all fields in the object
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for (name, attribute) in iteritems(self._valid_attrs):
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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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else:
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# and make sure the attribute is of the type it should be
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value = getattr(self, name)
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if value is not None:
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if attribute.isa == 'string' and isinstance(value, (list, dict)):
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raise AnsibleParserError(
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"The field '%s' is supposed to be a string type,"
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" however the incoming data structure is a %s" % (name, type(value)), obj=self.get_ds()
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)
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self._validated = True
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def squash(self):
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'''
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Evaluates all attributes and sets them to the evaluated version,
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so that all future accesses of attributes do not need to evaluate
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parent attributes.
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'''
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if not self._squashed:
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for name in self._valid_attrs.keys():
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self._attributes[name] = getattr(self, name)
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self._squashed = True
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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._valid_attrs.keys():
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new_me._attributes[name] = shallowcopy(self._attributes[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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new_me._validated = self._validated
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new_me._finalized = self._finalized
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new_me._uuid = self._uuid
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# if the ds value was set on the object, copy it to the new copy too
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if hasattr(self, '_ds'):
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new_me._ds = self._ds
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return new_me
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def post_validate(self, templar):
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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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# save the omit value for later checking
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omit_value = templar._available_variables.get('omit')
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for (name, attribute) in iteritems(self._valid_attrs):
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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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elif not attribute.always_post_validate and self.__class__.__name__ not in ('Task', 'Handler', 'PlayContext'):
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# Intermediate objects like Play() won't have their fields validated by
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# default, as their values are often inherited by other objects and validated
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# later, so we don't want them to fail out early
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continue
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try:
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# Run the post-validator if present. These methods are responsible for
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# using the given templar to template the values, if required.
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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, getattr(self, name), templar)
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elif attribute.isa == 'class':
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value = getattr(self, name)
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else:
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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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# if this evaluated to the omit value, set the value back to
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# the default specified in the FieldAttribute and move on
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if omit_value is not None and value == omit_value:
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setattr(self, name, attribute.default)
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continue
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# and make sure the attribute is of the type it should be
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if value is not None:
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if attribute.isa == 'string':
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value = to_text(value)
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elif attribute.isa == 'int':
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value = int(value)
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elif attribute.isa == 'float':
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value = float(value)
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elif attribute.isa == 'bool':
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value = boolean(value)
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elif attribute.isa == 'percent':
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# special value, which may be an integer or float
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# with an optional '%' at the end
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if isinstance(value, string_types) and '%' in value:
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value = value.replace('%', '')
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value = float(value)
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elif attribute.isa in ('list', 'barelist'):
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if value is None:
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value = []
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elif not isinstance(value, list):
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if isinstance(value, string_types) and attribute.isa == 'barelist':
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display.deprecated(
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"Using comma separated values for a list has been deprecated. "
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"You should instead use the correct YAML syntax for lists. "
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)
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value = value.split(',')
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else:
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value = [value]
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if attribute.listof is not None:
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for item in value:
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if not isinstance(item, attribute.listof):
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raise AnsibleParserError("the field '%s' should be a list of %s, "
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"but the item '%s' is a %s" % (name, attribute.listof, item, type(item)), obj=self.get_ds())
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elif attribute.required and attribute.listof == string_types:
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if item is None or item.strip() == "":
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raise AnsibleParserError("the field '%s' is required, and cannot have empty values" % (name,), obj=self.get_ds())
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elif attribute.isa == 'set':
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if value is None:
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value = set()
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elif not isinstance(value, (list, set)):
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if isinstance(value, string_types):
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value = value.split(',')
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else:
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# Making a list like this handles strings of
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# text and bytes properly
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value = [value]
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if not isinstance(value, set):
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value = set(value)
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elif attribute.isa == 'dict':
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if value is None:
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value = dict()
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elif not isinstance(value, dict):
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raise TypeError("%s is not a dictionary" % value)
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elif attribute.isa == 'class':
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if not isinstance(value, attribute.class_type):
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raise TypeError("%s is not a valid %s (got a %s instead)" % (name, attribute.class_type, type(value)))
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value.post_validate(templar=templar)
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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) as e:
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raise AnsibleParserError("the field '%s' has an invalid value (%s), and could not be converted to an %s."
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"The error was: %s" % (name, value, attribute.isa, e), obj=self.get_ds(), orig_exc=e)
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except (AnsibleUndefinedVariable, UndefinedError) as e:
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if templar._fail_on_undefined_errors and name != 'name':
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raise AnsibleParserError("the field '%s' has an invalid value, which appears to include a variable that is undefined."
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"The error was: %s" % (name, e), obj=self.get_ds(), orig_exc=e)
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self._finalized = True
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def _load_vars(self, attr, ds):
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'''
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Vars in a play can be specified either as a dictionary directly, or
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as a list of dictionaries. If the later, this method will turn the
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list into a single dictionary.
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'''
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def _validate_variable_keys(ds):
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for key in ds:
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if not isidentifier(key):
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raise TypeError("'%s' is not a valid variable name" % key)
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try:
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if isinstance(ds, dict):
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_validate_variable_keys(ds)
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return ds
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elif isinstance(ds, list):
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all_vars = dict()
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for item in ds:
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if not isinstance(item, dict):
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raise ValueError
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_validate_variable_keys(item)
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all_vars = combine_vars(all_vars, item)
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return all_vars
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elif ds is None:
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return {}
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else:
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raise ValueError
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except ValueError as e:
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raise AnsibleParserError("Vars in a %s must be specified as a dictionary, or a list of dictionaries" % self.__class__.__name__,
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obj=ds, orig_exc=e)
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except TypeError as e:
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raise AnsibleParserError("Invalid variable name in vars specified for %s: %s" % (self.__class__.__name__, e), obj=ds, orig_exc=e)
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def _extend_value(self, value, new_value, prepend=False):
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'''
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Will extend the value given with new_value (and will turn both
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into lists if they are not so already). The values are run through
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a set to remove duplicate values.
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'''
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if not isinstance(value, list):
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value = [value]
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if not isinstance(new_value, list):
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new_value = [new_value]
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if prepend:
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combined = new_value + value
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else:
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combined = value + new_value
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|
return [i for i, _ in itertools.groupby(combined) if i is not None]
|
|
|
|
def dump_attrs(self):
|
|
'''
|
|
Dumps all attributes to a dictionary
|
|
'''
|
|
attrs = dict()
|
|
for (name, attribute) in iteritems(self._valid_attrs):
|
|
attr = getattr(self, name)
|
|
if attribute.isa == 'class' and attr is not None and hasattr(attr, 'serialize'):
|
|
attrs[name] = attr.serialize()
|
|
else:
|
|
attrs[name] = attr
|
|
return attrs
|
|
|
|
def from_attrs(self, attrs):
|
|
'''
|
|
Loads attributes from a dictionary
|
|
'''
|
|
for (attr, value) in iteritems(attrs):
|
|
if attr in self._valid_attrs:
|
|
attribute = self._valid_attrs[attr]
|
|
if attribute.isa == 'class' and isinstance(value, dict):
|
|
obj = attribute.class_type()
|
|
obj.deserialize(value)
|
|
setattr(self, attr, obj)
|
|
else:
|
|
setattr(self, attr, value)
|
|
|
|
def serialize(self):
|
|
'''
|
|
Serializes the object derived from the base object into
|
|
a dictionary of values. This only serializes the field
|
|
attributes for the object, so this may need to be overridden
|
|
for any classes which wish to add additional items not stored
|
|
as field attributes.
|
|
'''
|
|
|
|
repr = self.dump_attrs()
|
|
|
|
# serialize the uuid field
|
|
repr['uuid'] = self._uuid
|
|
repr['finalized'] = self._finalized
|
|
repr['squashed'] = self._squashed
|
|
|
|
return repr
|
|
|
|
def deserialize(self, data):
|
|
'''
|
|
Given a dictionary of values, load up the field attributes for
|
|
this object. As with serialize(), if there are any non-field
|
|
attribute data members, this method will need to be overridden
|
|
and extended.
|
|
'''
|
|
|
|
assert isinstance(data, dict), 'data (%s) should be a dict but is a %s' % (data, type(data))
|
|
|
|
for (name, attribute) in iteritems(self._valid_attrs):
|
|
if name in data:
|
|
setattr(self, name, data[name])
|
|
else:
|
|
setattr(self, name, attribute.default)
|
|
|
|
# restore the UUID field
|
|
setattr(self, '_uuid', data.get('uuid'))
|
|
self._finalized = data.get('finalized', False)
|
|
self._squashed = data.get('squashed', False)
|