mirror of
https://github.com/ansible-collections/community.general.git
synced 2024-09-14 20:13:21 +02:00
f4237b2151
Copying the TaskInclude task (which is the parent) before loading the blocks makes the code much more simple and clean, and fixes a bug introduced during the performance improvement changes (and specifically the change which moved things to a single-parent model). Fixes #17064
526 lines
21 KiB
Python
526 lines
21 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 collections
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import itertools
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import operator
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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 ansible.compat.six import iteritems, string_types
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from jinja2.exceptions import UndefinedError
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from ansible.errors import AnsibleParserError, AnsibleUndefinedVariable
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from ansible.parsing.dataloader import DataLoader
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from ansible.playbook.attribute import Attribute, FieldAttribute
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from ansible.utils.boolean import boolean
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from ansible.utils.vars import combine_vars, isidentifier
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from ansible.utils.unicode import to_unicode
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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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BASE_ATTRIBUTES = {}
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class Base:
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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)
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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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# 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._finalized = False
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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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self._cached_parent_attrs = dict()
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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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# 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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try:
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value = getattr(self, method)()
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except AttributeError:
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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._finalized:
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try:
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if prop_name in self._cached_parent_attrs:
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value = self._cached_parent_attrs[prop_name]
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else:
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value = self._get_parent_attribute(prop_name)
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# FIXME: temporarily disabling due to bugs
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#self._cached_parent_attrs[prop_name] = value
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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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@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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# check cache before retrieving attributes
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if self.__class__.__name__ in BASE_ATTRIBUTES:
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return BASE_ATTRIBUTES[self.__class__.__name__]
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# Cache init
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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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BASE_ATTRIBUTES[self.__class__.__name__] = base_attributes
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return base_attributes
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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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#print("%s^ dep chain: %s" % (" "*(depth+2), 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 _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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# 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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base_attributes = self._get_base_attributes()
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for name, attr in sorted(base_attributes.items(), 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(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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if not self._validated:
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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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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 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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attr_val = getattr(self, name)
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if isinstance(attr_val, collections.Sequence):
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setattr(new_me, name, attr_val[:])
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elif isinstance(attr_val, collections.Mapping):
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setattr(new_me, name, attr_val.copy())
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else:
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setattr(new_me, name, attr_val)
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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._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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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_unicode(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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" Error was: %s" % (name, value, attribute.isa, e), obj=self.get_ds())
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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())
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self._finalized = True
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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 _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:
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raise AnsibleParserError("Vars in a %s must be specified as a dictionary, or a list of dictionaries" % self.__class__.__name__, obj=ds)
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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)
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def _extend_value(self, value, new_value):
|
|
'''
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|
Will extend the value given with new_value (and will turn both
|
|
into lists if they are not so already). The values are run through
|
|
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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|
|
|
#return list(set(value + new_value))
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|
return [i for i,_ in itertools.groupby(value + new_value) if i is not None]
|
|
|
|
def __getstate__(self):
|
|
return self.serialize()
|
|
|
|
def __setstate__(self, data):
|
|
self.__init__()
|
|
self.deserialize(data)
|