# (c) 2012-2014, Michael DeHaan # # This file is part of Ansible # # Ansible is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # Ansible is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with Ansible. If not, see . # Make coding more python3-ish from __future__ import (absolute_import, division, print_function) __metaclass__ = type import itertools import operator from copy import copy as shallowcopy from functools import partial from jinja2.exceptions import UndefinedError from ansible import constants as C from ansible.module_utils.six import iteritems, string_types, with_metaclass from ansible.module_utils.parsing.convert_bool import boolean from ansible.errors import AnsibleParserError, AnsibleUndefinedVariable from ansible.module_utils._text import to_text from ansible.playbook.attribute import Attribute, FieldAttribute from ansible.parsing.dataloader import DataLoader from ansible.utils.vars import combine_vars, isidentifier, get_unique_id try: from __main__ import display except ImportError: from ansible.utils.display import Display display = Display() def _generic_g(prop_name, self): try: return self._attributes[prop_name] except KeyError: raise AttributeError("'%s' object has no attribute '%s'" % (self.__class__.__name__, prop_name)) def _generic_g_method(prop_name, self): try: if self._squashed: return self._attributes[prop_name] method = "_get_attr_%s" % prop_name return getattr(self, method)() except KeyError: raise AttributeError("'%s' object has no attribute '%s'" % (self.__class__.__name__, prop_name)) def _generic_g_parent(prop_name, self): try: value = self._attributes[prop_name] if value is None and not self._squashed and not self._finalized: try: value = self._get_parent_attribute(prop_name) except AttributeError: pass except KeyError: raise AttributeError("'%s' object has no attribute '%s'" % (self.__class__.__name__, prop_name)) return value def _generic_s(prop_name, self, value): self._attributes[prop_name] = value def _generic_d(prop_name, self): del self._attributes[prop_name] class BaseMeta(type): """ Metaclass for the Base object, which is used to construct the class attributes based on the FieldAttributes available. """ def __new__(cls, name, parents, dct): def _create_attrs(src_dict, dst_dict): ''' Helper method which creates the attributes based on those in the source dictionary of attributes. This also populates the other attributes used to keep track of these attributes and via the getter/setter/deleter methods. ''' keys = list(src_dict.keys()) for attr_name in keys: value = src_dict[attr_name] if isinstance(value, Attribute): if attr_name.startswith('_'): attr_name = attr_name[1:] # here we selectively assign the getter based on a few # things, such as whether we have a _get_attr_ # method, or if the attribute is marked as not inheriting # its value from a parent object method = "_get_attr_%s" % attr_name if method in src_dict or method in dst_dict: getter = partial(_generic_g_method, attr_name) elif ('_get_parent_attribute' in dst_dict or '_get_parent_attribute' in src_dict) and value.inherit: getter = partial(_generic_g_parent, attr_name) else: getter = partial(_generic_g, attr_name) setter = partial(_generic_s, attr_name) deleter = partial(_generic_d, attr_name) dst_dict[attr_name] = property(getter, setter, deleter) dst_dict['_valid_attrs'][attr_name] = value dst_dict['_attributes'][attr_name] = value.default def _process_parents(parents, dst_dict): ''' Helper method which creates attributes from all parent objects recursively on through grandparent objects ''' for parent in parents: if hasattr(parent, '__dict__'): _create_attrs(parent.__dict__, dst_dict) new_dst_dict = parent.__dict__.copy() new_dst_dict.update(dst_dict) _process_parents(parent.__bases__, new_dst_dict) # create some additional class attributes dct['_attributes'] = dict() dct['_valid_attrs'] = dict() # now create the attributes based on the FieldAttributes # available, including from parent (and grandparent) objects _create_attrs(dct, dct) _process_parents(parents, dct) return super(BaseMeta, cls).__new__(cls, name, parents, dct) class Base(with_metaclass(BaseMeta, object)): # connection/transport _connection = FieldAttribute(isa='string') _port = FieldAttribute(isa='int') _remote_user = FieldAttribute(isa='string') # variables _vars = FieldAttribute(isa='dict', priority=100, inherit=False) # flags and misc. settings _environment = FieldAttribute(isa='list') _no_log = FieldAttribute(isa='bool') _always_run = FieldAttribute(isa='bool') _run_once = FieldAttribute(isa='bool') _ignore_errors = FieldAttribute(isa='bool') _check_mode = FieldAttribute(isa='bool') _any_errors_fatal = FieldAttribute(isa='bool', default=C.ANY_ERRORS_FATAL, always_post_validate=True) # param names which have been deprecated/removed DEPRECATED_ATTRIBUTES = [ 'sudo', 'sudo_user', 'sudo_pass', 'sudo_exe', 'sudo_flags', 'su', 'su_user', 'su_pass', 'su_exe', 'su_flags', ] def __init__(self): # initialize the data loader and variable manager, which will be provided # later when the object is actually loaded self._loader = None self._variable_manager = None # other internal params self._validated = False self._squashed = False self._finalized = False # every object gets a random uuid: self._uuid = get_unique_id() # we create a copy of the attributes here due to the fact that # it was initialized as a class param in the meta class, so we # need a unique object here (all members contained within are # unique already). self._attributes = self._attributes.copy() # and init vars, avoid using defaults in field declaration as it lives across plays self.vars = dict() def dump_me(self, depth=0): if depth == 0: print("DUMPING OBJECT ------------------------------------------------------") print("%s- %s (%s, id=%s)" % (" " * depth, self.__class__.__name__, self, id(self))) if hasattr(self, '_parent') and self._parent: self._parent.dump_me(depth + 2) dep_chain = self._parent.get_dep_chain() if dep_chain: for dep in dep_chain: dep.dump_me(depth + 2) if hasattr(self, '_play') and self._play: self._play.dump_me(depth + 2) def preprocess_data(self, ds): ''' infrequently used method to do some pre-processing of legacy terms ''' for base_class in self.__class__.mro(): method = getattr(self, "_preprocess_data_%s" % base_class.__name__.lower(), None) if method: return method(ds) return ds def load_data(self, ds, variable_manager=None, loader=None): ''' walk the input datastructure and assign any values ''' assert ds is not None, 'ds (%s) should not be None but it is.' % ds # cache the datastructure internally setattr(self, '_ds', ds) # the variable manager class is used to manage and merge variables # down to a single dictionary for reference in templating, etc. self._variable_manager = variable_manager # the data loader class is used to parse data from strings and files if loader is not None: self._loader = loader else: self._loader = DataLoader() # call the preprocess_data() function to massage the data into # something we can more easily parse, and then call the validation # function on it to ensure there are no incorrect key values ds = self.preprocess_data(ds) self._validate_attributes(ds) # Walk all attributes in the class. We sort them based on their priority # so that certain fields can be loaded before others, if they are dependent. for name, attr in sorted(iteritems(self._valid_attrs), key=operator.itemgetter(1)): # copy the value over unless a _load_field method is defined if name in ds: method = getattr(self, '_load_%s' % name, None) if method: self._attributes[name] = method(name, ds[name]) else: self._attributes[name] = ds[name] # run early, non-critical validation self.validate() # return the constructed object return self def get_ds(self): try: return getattr(self, '_ds') except AttributeError: return None def get_loader(self): return self._loader def get_variable_manager(self): return self._variable_manager def _validate_attributes(self, ds): ''' Ensures that there are no keys in the datastructure which do not map to attributes for this object. ''' valid_attrs = frozenset(self._valid_attrs.keys()) for key in ds: if key not in valid_attrs: raise AnsibleParserError("'%s' is not a valid attribute for a %s" % (key, self.__class__.__name__), obj=ds) def validate(self, all_vars=dict()): ''' validation that is done at parse time, not load time ''' if not self._validated: # walk all fields in the object for (name, attribute) in iteritems(self._valid_attrs): # run validator only if present method = getattr(self, '_validate_%s' % name, None) if method: method(attribute, name, getattr(self, name)) else: # and make sure the attribute is of the type it should be value = getattr(self, name) if value is not None: if attribute.isa == 'string' and isinstance(value, (list, dict)): raise AnsibleParserError( "The field '%s' is supposed to be a string type," " however the incoming data structure is a %s" % (name, type(value)), obj=self.get_ds() ) self._validated = True def squash(self): ''' Evaluates all attributes and sets them to the evaluated version, so that all future accesses of attributes do not need to evaluate parent attributes. ''' if not self._squashed: for name in self._valid_attrs.keys(): self._attributes[name] = getattr(self, name) self._squashed = True def copy(self): ''' Create a copy of this object and return it. ''' new_me = self.__class__() for name in self._valid_attrs.keys(): new_me._attributes[name] = shallowcopy(self._attributes[name]) new_me._loader = self._loader new_me._variable_manager = self._variable_manager new_me._validated = self._validated new_me._finalized = self._finalized new_me._uuid = self._uuid # if the ds value was set on the object, copy it to the new copy too if hasattr(self, '_ds'): new_me._ds = self._ds return new_me def post_validate(self, templar): ''' we can't tell that everything is of the right type until we have all the variables. Run basic types (from isa) as well as any _post_validate_ functions. ''' # save the omit value for later checking omit_value = templar._available_variables.get('omit') for (name, attribute) in iteritems(self._valid_attrs): if getattr(self, name) is None: if not attribute.required: continue else: raise AnsibleParserError("the field '%s' is required but was not set" % name) elif not attribute.always_post_validate and self.__class__.__name__ not in ('Task', 'Handler', 'PlayContext'): # Intermediate objects like Play() won't have their fields validated by # default, as their values are often inherited by other objects and validated # later, so we don't want them to fail out early continue try: # Run the post-validator if present. These methods are responsible for # using the given templar to template the values, if required. method = getattr(self, '_post_validate_%s' % name, None) if method: value = method(attribute, getattr(self, name), templar) elif attribute.isa == 'class': value = getattr(self, name) else: # if the attribute contains a variable, template it now value = templar.template(getattr(self, name)) # if this evaluated to the omit value, set the value back to # the default specified in the FieldAttribute and move on if omit_value is not None and value == omit_value: setattr(self, name, attribute.default) continue # and make sure the attribute is of the type it should be if value is not None: if attribute.isa == 'string': value = to_text(value) elif attribute.isa == 'int': value = int(value) elif attribute.isa == 'float': value = float(value) elif attribute.isa == 'bool': value = boolean(value, strict=False) elif attribute.isa == 'percent': # special value, which may be an integer or float # with an optional '%' at the end if isinstance(value, string_types) and '%' in value: value = value.replace('%', '') value = float(value) elif attribute.isa in ('list', 'barelist'): if value is None: value = [] elif not isinstance(value, list): if isinstance(value, string_types) and attribute.isa == 'barelist': display.deprecated( "Using comma separated values for a list has been deprecated. " "You should instead use the correct YAML syntax for lists. " ) value = value.split(',') else: value = [value] if attribute.listof is not None: for item in value: if not isinstance(item, attribute.listof): raise AnsibleParserError("the field '%s' should be a list of %s, " "but the item '%s' is a %s" % (name, attribute.listof, item, type(item)), obj=self.get_ds()) elif attribute.required and attribute.listof == string_types: if item is None or item.strip() == "": raise AnsibleParserError("the field '%s' is required, and cannot have empty values" % (name,), obj=self.get_ds()) elif attribute.isa == 'set': if value is None: value = set() elif not isinstance(value, (list, set)): if isinstance(value, string_types): value = value.split(',') else: # Making a list like this handles strings of # text and bytes properly value = [value] if not isinstance(value, set): value = set(value) elif attribute.isa == 'dict': if value is None: value = dict() elif not isinstance(value, dict): raise TypeError("%s is not a dictionary" % value) elif attribute.isa == 'class': if not isinstance(value, attribute.class_type): raise TypeError("%s is not a valid %s (got a %s instead)" % (name, attribute.class_type, type(value))) value.post_validate(templar=templar) # and assign the massaged value back to the attribute field setattr(self, name, value) except (TypeError, ValueError) as e: raise AnsibleParserError("the field '%s' has an invalid value (%s), and could not be converted to an %s." "The error was: %s" % (name, value, attribute.isa, e), obj=self.get_ds(), orig_exc=e) except (AnsibleUndefinedVariable, UndefinedError) as e: if templar._fail_on_undefined_errors and name != 'name': 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(), orig_exc=e) self._finalized = True def _load_vars(self, attr, ds): ''' Vars in a play can be specified either as a dictionary directly, or as a list of dictionaries. If the later, this method will turn the list into a single dictionary. ''' def _validate_variable_keys(ds): for key in ds: if not isidentifier(key): raise TypeError("'%s' is not a valid variable name" % key) try: if isinstance(ds, dict): _validate_variable_keys(ds) return ds elif isinstance(ds, list): all_vars = dict() for item in ds: if not isinstance(item, dict): raise ValueError _validate_variable_keys(item) all_vars = combine_vars(all_vars, item) return all_vars elif ds is None: return {} else: raise ValueError except ValueError as e: raise AnsibleParserError("Vars in a %s must be specified as a dictionary, or a list of dictionaries" % self.__class__.__name__, obj=ds, orig_exc=e) except TypeError as e: raise AnsibleParserError("Invalid variable name in vars specified for %s: %s" % (self.__class__.__name__, e), obj=ds, orig_exc=e) def _extend_value(self, value, new_value, prepend=False): ''' 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. ''' if not isinstance(value, list): value = [value] if not isinstance(new_value, list): new_value = [new_value] if prepend: combined = new_value + value else: combined = value + new_value 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)