class Base:
# connection/transport
_connection = FieldAttribute(isa='string')
_port = FieldAttribute(isa='int')
_remote_user = FieldAttribute(isa='string')
# vars and flags
_vars = FieldAttribute(isa='dict', default=dict())
_environment = FieldAttribute(isa='dict', default=dict())
_no_log = FieldAttribute(isa='bool', default=False)
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
# every object gets a random uuid:
self._uuid = uuid.uuid4()
# and initialize the base attributes
self._initialize_base_attributes()
# The following three functions are used to programatically define data
# descriptors (aka properties) for the Attributes of all of the playbook
# objects (tasks, blocks, plays, etc).
#
# The function signature is a little strange because of how we define
# them. We use partial to give each method the name of the Attribute that
# it is for. Since partial prefills the positional arguments at the
# beginning of the function we end up with the first positional argument
# being allocated to the name instead of to the class instance (self) as
# normal. To deal with that we make the property name field the first
# positional argument and self the second arg.
#
# Because these methods are defined inside of the class, they get bound to
# the instance when the object is created. After we run partial on them
# and put the result back into the class as a property, they get bound
# a second time. This leads to self being placed in the arguments twice.
# To work around that, we mark the functions as @staticmethod so that the
# first binding to the instance doesn't happen.
@staticmethod
def _generic_g(prop_name, self):
method = "_get_attr_%s" % prop_name
if method in dir(self):
return getattr(self, method)()
return self._attributes[prop_name]
@staticmethod
def _generic_s(prop_name, self, value):
self._attributes[prop_name] = value
@staticmethod
def _generic_d(prop_name, self):
del self._attributes[prop_name]
def _get_base_attributes(self):
'''
Returns the list of attributes for this class (or any subclass thereof).
If the attribute name starts with an underscore, it is removed
'''
base_attributes = dict()
for (name, value) in getmembers(self.__class__):
if isinstance(value, Attribute):
if name.startswith('_'):
name = name[1:]
base_attributes[name] = value
return base_attributes
def _initialize_base_attributes(self):
# each class knows attributes set upon it, see Task.py for example
self._attributes = dict()
for (name, value) in self._get_base_attributes().items():
getter = partial(self._generic_g, name)
setter = partial(self._generic_s, name)
deleter = partial(self._generic_d, name)
# Place the property into the class so that cls.name is the
# property functions.
setattr(Base, name, property(getter, setter, deleter))
# Place the value into the instance so that the property can
# process and hold that value/
setattr(self, name, value.default)
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
# 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()
if isinstance(ds, string_types) or isinstance(ds, FileIO):
ds = self._loader.load(ds)
# 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.
#
# FIXME: we currently don't do anything with private attributes but
# may later decide to filter them out of 'ds' here.
for name in self._get_base_attributes():
# 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()
# cache the datastructure internally
setattr(self, '_ds', ds)
# 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(name for name in self._get_base_attributes())
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 '''
# walk all fields in the object
for (name, attribute) in iteritems(self._get_base_attributes()):
# run validator only if present
method = getattr(self, '_validate_%s' % name, None)
if method:
method(attribute, name, getattr(self, name))
def copy(self):
'''
Create a copy of this object and return it.
'''
new_me = self.__class__()
for name in self._get_base_attributes():
setattr(new_me, name, getattr(self, name))
new_me._loader = self._loader
new_me._variable_manager = self._variable_manager
# 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_<foo> functions.
'''
basedir = None
if self._loader is not None:
basedir = self._loader.get_basedir()
for (name, attribute) in iteritems(self._get_base_attributes()):
if getattr(self, name) is None:
if not attribute.required:
continue
else:
raise AnsibleParserError(
"the field '%s' is required but was not set" % name)
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)
else:
# if the attribute contains a variable, template it now
value = templar.template(getattr(self, name))
# and make sure the attribute is of the type it should be
if value is not None:
if attribute.isa == 'string':
value = unicode(value)
elif attribute.isa == 'int':
value = int(value)
elif attribute.isa == 'bool':
value = boolean(value)
elif attribute.isa == 'list':
if not isinstance(value, list):
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.isa == 'dict' and not isinstance(
value, dict):
raise TypeError()
# 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. Error was: %s"
% (name, value, attribute.isa, e),
obj=self.get_ds())
except 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())
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 = dict()
for name in self._get_base_attributes():
repr[name] = getattr(self, name)
# serialize the uuid field
repr['uuid'] = getattr(self, '_uuid')
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)
for (name, attribute) in iteritems(self._get_base_attributes()):
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'))
def _extend_value(self, value, new_value):
'''
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]
#return list(set(value + new_value))
return [i for i, _ in itertools.groupby(value + new_value)]
def __getstate__(self):
return self.serialize()
def __setstate__(self, data):
self.__init__()
self.deserialize(data)
class Base:
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
# every object gets a random uuid:
self._uuid = uuid.uuid4()
# each class knows attributes set upon it, see Task.py for example
self._attributes = dict()
for (name, value) in iteritems(self._get_base_attributes()):
self._attributes[name] = value.default
def _get_base_attributes(self):
'''
Returns the list of attributes for this class (or any subclass thereof).
If the attribute name starts with an underscore, it is removed
'''
base_attributes = dict()
for (name, value) in getmembers(self.__class__):
if isinstance(value, Attribute):
if name.startswith('_'):
name = name[1:]
base_attributes[name] = value
return base_attributes
def munge(self, ds):
''' infrequently used method to do some pre-processing of legacy terms '''
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
# 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()
if isinstance(ds, string_types) or isinstance(ds, FileIO):
ds = self._loader.load(ds)
# call the munge() 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.munge(ds)
self._validate_attributes(ds)
# Walk all attributes in the class.
#
# FIXME: we currently don't do anything with private attributes but
# may later decide to filter them out of 'ds' here.
for (name, attribute) in iteritems(self._get_base_attributes()):
# 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()
# cache the datastructure internally
setattr(self, '_ds', ds)
# 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 = [name for (name, attribute) in iteritems(self._get_base_attributes())]
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 '''
# walk all fields in the object
for (name, attribute) in iteritems(self._get_base_attributes()):
# run validator only if present
method = getattr(self, '_validate_%s' % name, None)
if method:
method(attribute, name, getattr(self, name))
def copy(self):
'''
Create a copy of this object and return it.
'''
new_me = self.__class__()
for (name, attribute) in iteritems(self._get_base_attributes()):
setattr(new_me, name, getattr(self, name))
new_me._loader = self._loader
new_me._variable_manager = self._variable_manager
return new_me
def post_validate(self, all_vars=dict(), fail_on_undefined=True):
'''
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_<foo> functions.
'''
basedir = None
if self._loader is not None:
basedir = self._loader.get_basedir()
templar = Templar(loader=self._loader, variables=all_vars, fail_on_undefined=fail_on_undefined)
for (name, attribute) in iteritems(self._get_base_attributes()):
if getattr(self, name) is None:
if not attribute.required:
continue
else:
raise AnsibleParserError("the field '%s' is required but was not set" % name)
try:
# if the attribute contains a variable, template it now
value = templar.template(getattr(self, name))
# run the post-validator if present
method = getattr(self, '_post_validate_%s' % name, None)
if method:
value = method(attribute, value, all_vars, fail_on_undefined)
else:
# otherwise, just make sure the attribute is of the type it should be
if attribute.isa == 'string':
value = unicode(value)
elif attribute.isa == 'int':
value = int(value)
elif attribute.isa == 'bool':
value = boolean(value)
elif attribute.isa == 'list':
if not isinstance(value, list):
value = [ value ]
elif attribute.isa == 'dict' and not isinstance(value, dict):
raise TypeError()
# and assign the massaged value back to the attribute field
setattr(self, name, value)
except (TypeError, ValueError), e:
raise AnsibleParserError("the field '%s' has an invalid value (%s), and could not be converted to an %s. Error was: %s" % (name, value, attribute.isa, e), obj=self.get_ds())
except UndefinedError, e:
if fail_on_undefined:
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())
class Base:
# connection/transport
_connection = FieldAttribute(isa='string')
_port = FieldAttribute(isa='int')
_remote_user = FieldAttribute(isa='string')
# variables
_vars = FieldAttribute(isa='dict', default=dict(), priority=100)
# flags and misc. settings
_environment = FieldAttribute(isa='list')
_no_log = FieldAttribute(isa='bool')
# 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
# every object gets a random uuid:
self._uuid = uuid.uuid4()
# and initialize the base attributes
self._initialize_base_attributes()
try:
from __main__ import display
self._display = display
except ImportError:
from ansible.utils.display import Display
self._display = Display()
# The following three functions are used to programatically define data
# descriptors (aka properties) for the Attributes of all of the playbook
# objects (tasks, blocks, plays, etc).
#
# The function signature is a little strange because of how we define
# them. We use partial to give each method the name of the Attribute that
# it is for. Since partial prefills the positional arguments at the
# beginning of the function we end up with the first positional argument
# being allocated to the name instead of to the class instance (self) as
# normal. To deal with that we make the property name field the first
# positional argument and self the second arg.
#
# Because these methods are defined inside of the class, they get bound to
# the instance when the object is created. After we run partial on them
# and put the result back into the class as a property, they get bound
# a second time. This leads to self being placed in the arguments twice.
# To work around that, we mark the functions as @staticmethod so that the
# first binding to the instance doesn't happen.
@staticmethod
def _generic_g(prop_name, self):
method = "_get_attr_%s" % prop_name
if hasattr(self, method):
return getattr(self, method)()
return self._attributes[prop_name]
@staticmethod
def _generic_s(prop_name, self, value):
self._attributes[prop_name] = value
@staticmethod
def _generic_d(prop_name, self):
del self._attributes[prop_name]
def _get_base_attributes(self):
'''
Returns the list of attributes for this class (or any subclass thereof).
If the attribute name starts with an underscore, it is removed
'''
base_attributes = dict()
for (name, value) in getmembers(self.__class__):
if isinstance(value, Attribute):
if name.startswith('_'):
name = name[1:]
base_attributes[name] = value
return base_attributes
def _initialize_base_attributes(self):
# each class knows attributes set upon it, see Task.py for example
self._attributes = dict()
for (name, value) in self._get_base_attributes().items():
getter = partial(self._generic_g, name)
setter = partial(self._generic_s, name)
deleter = partial(self._generic_d, name)
# Place the property into the class so that cls.name is the
# property functions.
setattr(Base, name, property(getter, setter, deleter))
# Place the value into the instance so that the property can
# process and hold that value/
setattr(self, name, value.default)
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
# 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.
# FIXME: we currently don't do anything with private attributes but
# may later decide to filter them out of 'ds' here.
base_attributes = self._get_base_attributes()
for name, attr in sorted(base_attributes.items(), 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()
# cache the datastructure internally
setattr(self, '_ds', ds)
# 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(name for name in self._get_base_attributes())
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 '''
# walk all fields in the object
for (name, attribute) in iteritems(self._get_base_attributes()):
# run validator only if present
method = getattr(self, '_validate_%s' % name, None)
if method:
method(attribute, name, getattr(self, name))
def copy(self):
'''
Create a copy of this object and return it.
'''
new_me = self.__class__()
for name in self._get_base_attributes():
setattr(new_me, name, getattr(self, name))
new_me._loader = self._loader
new_me._variable_manager = self._variable_manager
# 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_<foo> functions.
'''
basedir = None
if self._loader is not None:
basedir = self._loader.get_basedir()
# save the omit value for later checking
omit_value = templar._available_variables.get('omit')
for (name, attribute) in iteritems(self._get_base_attributes()):
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)
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:
value = 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 = text_type(value)
elif attribute.isa == 'int':
value = int(value)
elif attribute.isa == 'float':
value = float(value)
elif attribute.isa == 'bool':
value = boolean(value)
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 == 'list':
if value is None:
value = []
elif not isinstance(value, list):
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()
else:
if not isinstance(value, (list, set)):
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)
# 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. Error was: %s" % (name, value, attribute.isa, e), obj=self.get_ds())
except 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())
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 = dict()
for name in self._get_base_attributes():
repr[name] = getattr(self, name)
# serialize the uuid field
repr['uuid'] = getattr(self, '_uuid')
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)
for (name, attribute) in iteritems(self._get_base_attributes()):
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'))
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:
raise AnsibleParserError("Vars in a %s must be specified as a dictionary, or a list of dictionaries" % self.__class__.__name__, obj=ds)
except TypeError as e:
raise AnsibleParserError("Invalid variable name in vars specified for %s: %s" % (self.__class__.__name__, e), obj=ds)
def _extend_value(self, value, new_value):
'''
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 ]
#return list(set(value + new_value))
return [i for i,_ in itertools.groupby(value + new_value)]
def __getstate__(self):
return self.serialize()
def __setstate__(self, data):
self.__init__()
self.deserialize(data)
class Base:
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
# every object gets a random uuid:
self._uuid = uuid.uuid4()
# and initialize the base attributes
self._initialize_base_attributes()
@staticmethod
def _generic_g(key, self):
method = "_get_attr_%s" % key
if method in dir(self):
return getattr(self, method)()
return self._attributes[key]
@staticmethod
def _generic_s(key, self, value):
self._attributes[key] = value
@staticmethod
def _generic_d(key, self):
del self._attributes[key]
def _get_base_attributes(self):
'''
Returns the list of attributes for this class (or any subclass thereof).
If the attribute name starts with an underscore, it is removed
'''
base_attributes = dict()
for (name, value) in getmembers(self.__class__):
if isinstance(value, Attribute):
if name.startswith('_'):
name = name[1:]
base_attributes[name] = value
return base_attributes
def _initialize_base_attributes(self):
# each class knows attributes set upon it, see Task.py for example
self._attributes = dict()
for (name, value) in self._get_base_attributes().items():
getter = partial(self._generic_g, name)
setter = partial(self._generic_s, name)
deleter = partial(self._generic_d, name)
setattr(Base, name, property(getter, setter, deleter))
setattr(self, name, value.default)
def munge(self, ds):
''' infrequently used method to do some pre-processing of legacy terms '''
for base_class in self.__class__.mro():
method = getattr(self, "_munge_%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
# 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()
if isinstance(ds, string_types) or isinstance(ds, FileIO):
ds = self._loader.load(ds)
# call the munge() 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.munge(ds)
self._validate_attributes(ds)
# Walk all attributes in the class.
#
# FIXME: we currently don't do anything with private attributes but
# may later decide to filter them out of 'ds' here.
for name in self._get_base_attributes():
# 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()
# cache the datastructure internally
setattr(self, '_ds', ds)
# 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(name for name in self._get_base_attributes())
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 '''
# walk all fields in the object
for (name, attribute) in iteritems(self._get_base_attributes()):
# run validator only if present
method = getattr(self, '_validate_%s' % name, None)
if method:
method(attribute, name, getattr(self, name))
def copy(self):
'''
Create a copy of this object and return it.
'''
new_me = self.__class__()
for name in self._get_base_attributes():
setattr(new_me, name, getattr(self, name))
new_me._loader = self._loader
new_me._variable_manager = self._variable_manager
return new_me
def post_validate(self, all_vars=dict(), fail_on_undefined=True):
'''
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_<foo> functions.
'''
basedir = None
if self._loader is not None:
basedir = self._loader.get_basedir()
templar = Templar(loader=self._loader,
variables=all_vars,
fail_on_undefined=fail_on_undefined)
for (name, attribute) in iteritems(self._get_base_attributes()):
if getattr(self, name) is None:
if not attribute.required:
continue
else:
raise AnsibleParserError(
"the field '%s' is required but was not set" % name)
try:
# if the attribute contains a variable, template it now
value = templar.template(getattr(self, name))
# run the post-validator if present
method = getattr(self, '_post_validate_%s' % name, None)
if method:
value = method(attribute, value, all_vars,
fail_on_undefined)
else:
# otherwise, just make sure the attribute is of the type it should be
if attribute.isa == 'string':
value = unicode(value)
elif attribute.isa == 'int':
value = int(value)
elif attribute.isa == 'bool':
value = boolean(value)
elif attribute.isa == 'list':
if not isinstance(value, list):
value = [value]
elif attribute.isa == 'dict' and not isinstance(
value, dict):
raise TypeError()
# and assign the massaged value back to the attribute field
setattr(self, name, value)
except (TypeError, ValueError), e:
raise AnsibleParserError(
"the field '%s' has an invalid value (%s), and could not be converted to an %s. Error was: %s"
% (name, value, attribute.isa, e),
obj=self.get_ds())
except UndefinedError, e:
if fail_on_undefined:
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())
class Base:
# connection/transport
_connection = FieldAttribute(isa="string")
_port = FieldAttribute(isa="int")
_remote_user = FieldAttribute(isa="string")
# vars and flags
_vars = FieldAttribute(isa="dict", default=dict())
_environment = FieldAttribute(isa="dict", default=dict())
_no_log = FieldAttribute(isa="bool", default=False)
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
# every object gets a random uuid:
self._uuid = uuid.uuid4()
# and initialize the base attributes
self._initialize_base_attributes()
# The following three functions are used to programatically define data
# descriptors (aka properties) for the Attributes of all of the playbook
# objects (tasks, blocks, plays, etc).
#
# The function signature is a little strange because of how we define
# them. We use partial to give each method the name of the Attribute that
# it is for. Since partial prefills the positional arguments at the
# beginning of the function we end up with the first positional argument
# being allocated to the name instead of to the class instance (self) as
# normal. To deal with that we make the property name field the first
# positional argument and self the second arg.
#
# Because these methods are defined inside of the class, they get bound to
# the instance when the object is created. After we run partial on them
# and put the result back into the class as a property, they get bound
# a second time. This leads to self being placed in the arguments twice.
# To work around that, we mark the functions as @staticmethod so that the
# first binding to the instance doesn't happen.
@staticmethod
def _generic_g(prop_name, self):
method = "_get_attr_%s" % prop_name
if method in dir(self):
return getattr(self, method)()
return self._attributes[prop_name]
@staticmethod
def _generic_s(prop_name, self, value):
self._attributes[prop_name] = value
@staticmethod
def _generic_d(prop_name, self):
del self._attributes[prop_name]
def _get_base_attributes(self):
"""
Returns the list of attributes for this class (or any subclass thereof).
If the attribute name starts with an underscore, it is removed
"""
base_attributes = dict()
for (name, value) in getmembers(self.__class__):
if isinstance(value, Attribute):
if name.startswith("_"):
name = name[1:]
base_attributes[name] = value
return base_attributes
def _initialize_base_attributes(self):
# each class knows attributes set upon it, see Task.py for example
self._attributes = dict()
for (name, value) in self._get_base_attributes().items():
getter = partial(self._generic_g, name)
setter = partial(self._generic_s, name)
deleter = partial(self._generic_d, name)
# Place the property into the class so that cls.name is the
# property functions.
setattr(Base, name, property(getter, setter, deleter))
# Place the value into the instance so that the property can
# process and hold that value/
setattr(self, name, value.default)
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
# 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()
if isinstance(ds, string_types) or isinstance(ds, FileIO):
ds = self._loader.load(ds)
# 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.
#
# FIXME: we currently don't do anything with private attributes but
# may later decide to filter them out of 'ds' here.
for name in self._get_base_attributes():
# 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()
# cache the datastructure internally
setattr(self, "_ds", ds)
# 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(name for name in self._get_base_attributes())
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 """
# walk all fields in the object
for (name, attribute) in iteritems(self._get_base_attributes()):
# run validator only if present
method = getattr(self, "_validate_%s" % name, None)
if method:
method(attribute, name, getattr(self, name))
def copy(self):
"""
Create a copy of this object and return it.
"""
new_me = self.__class__()
for name in self._get_base_attributes():
setattr(new_me, name, getattr(self, name))
new_me._loader = self._loader
new_me._variable_manager = self._variable_manager
# 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_<foo> functions.
"""
basedir = None
if self._loader is not None:
basedir = self._loader.get_basedir()
for (name, attribute) in iteritems(self._get_base_attributes()):
if getattr(self, name) is None:
if not attribute.required:
continue
else:
raise AnsibleParserError("the field '%s' is required but was not set" % name)
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)
else:
# if the attribute contains a variable, template it now
value = templar.template(getattr(self, name))
# and make sure the attribute is of the type it should be
if value is not None:
if attribute.isa == "string":
value = unicode(value)
elif attribute.isa == "int":
value = int(value)
elif attribute.isa == "bool":
value = boolean(value)
elif attribute.isa == "list":
if not isinstance(value, list):
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.isa == "dict" and not isinstance(value, dict):
raise TypeError()
# 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. Error was: %s"
% (name, value, attribute.isa, e),
obj=self.get_ds(),
)
except 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(),
)
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 = dict()
for name in self._get_base_attributes():
repr[name] = getattr(self, name)
# serialize the uuid field
repr["uuid"] = getattr(self, "_uuid")
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)
for (name, attribute) in iteritems(self._get_base_attributes()):
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"))
def _extend_value(self, value, new_value):
"""
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]
# return list(set(value + new_value))
return [i for i, _ in itertools.groupby(value + new_value)]
def __getstate__(self):
return self.serialize()
def __setstate__(self, data):
self.__init__()
self.deserialize(data)
class Base:
# connection/transport
_connection = FieldAttribute(isa='string')
_port = FieldAttribute(isa='int')
_remote_user = FieldAttribute(isa='string')
# variables
_vars = FieldAttribute(isa='dict', default=dict(), priority=100)
# flags and misc. settings
_environment = FieldAttribute(isa='list')
_no_log = FieldAttribute(isa='bool')
# 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
# every object gets a random uuid:
self._uuid = uuid.uuid4()
# and initialize the base attributes
self._initialize_base_attributes()
try:
from __main__ import display
self._display = display
except ImportError:
from ansible.utils.display import Display
self._display = Display()
# The following three functions are used to programatically define data
# descriptors (aka properties) for the Attributes of all of the playbook
# objects (tasks, blocks, plays, etc).
#
# The function signature is a little strange because of how we define
# them. We use partial to give each method the name of the Attribute that
# it is for. Since partial prefills the positional arguments at the
# beginning of the function we end up with the first positional argument
# being allocated to the name instead of to the class instance (self) as
# normal. To deal with that we make the property name field the first
# positional argument and self the second arg.
#
# Because these methods are defined inside of the class, they get bound to
# the instance when the object is created. After we run partial on them
# and put the result back into the class as a property, they get bound
# a second time. This leads to self being placed in the arguments twice.
# To work around that, we mark the functions as @staticmethod so that the
# first binding to the instance doesn't happen.
@staticmethod
def _generic_g(prop_name, self):
method = "_get_attr_%s" % prop_name
if hasattr(self, method):
return getattr(self, method)()
value = self._attributes[prop_name]
if value is None and hasattr(self, '_get_parent_attribute'):
value = self._get_parent_attribute(prop_name)
return value
@staticmethod
def _generic_s(prop_name, self, value):
self._attributes[prop_name] = value
@staticmethod
def _generic_d(prop_name, self):
del self._attributes[prop_name]
def _get_base_attributes(self):
'''
Returns the list of attributes for this class (or any subclass thereof).
If the attribute name starts with an underscore, it is removed
'''
base_attributes = dict()
for (name, value) in getmembers(self.__class__):
if isinstance(value, Attribute):
if name.startswith('_'):
name = name[1:]
base_attributes[name] = value
return base_attributes
def _initialize_base_attributes(self):
# each class knows attributes set upon it, see Task.py for example
self._attributes = dict()
for (name, value) in self._get_base_attributes().items():
getter = partial(self._generic_g, name)
setter = partial(self._generic_s, name)
deleter = partial(self._generic_d, name)
# Place the property into the class so that cls.name is the
# property functions.
setattr(Base, name, property(getter, setter, deleter))
# Place the value into the instance so that the property can
# process and hold that value/
setattr(self, name, value.default)
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
# 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.
base_attributes = self._get_base_attributes()
for name, attr in sorted(base_attributes.items(),
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(name for name in self._get_base_attributes())
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 '''
# walk all fields in the object
for (name, attribute) in iteritems(self._get_base_attributes()):
# 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())
def copy(self):
'''
Create a copy of this object and return it.
'''
new_me = self.__class__()
for name in self._get_base_attributes():
attr_val = getattr(self, name)
if isinstance(attr_val, collections.Sequence):
setattr(new_me, name, attr_val[:])
elif isinstance(attr_val, collections.Mapping):
setattr(new_me, name, attr_val.copy())
else:
setattr(new_me, name, attr_val)
new_me._loader = self._loader
new_me._variable_manager = self._variable_manager
# 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_<foo> functions.
'''
basedir = None
if self._loader is not None:
basedir = self._loader.get_basedir()
# save the omit value for later checking
omit_value = templar._available_variables.get('omit')
for (name, attribute) in iteritems(self._get_base_attributes()):
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)
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 = text_type(value)
elif attribute.isa == 'int':
value = int(value)
elif attribute.isa == 'float':
value = float(value)
elif attribute.isa == 'bool':
value = boolean(value)
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 == 'list':
if value is None:
value = []
elif not isinstance(value, list):
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()
else:
if not isinstance(value, (list, set)):
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)
# 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. Error was: %s"
% (name, value, attribute.isa, e),
obj=self.get_ds())
except 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())
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 = dict()
for name in self._get_base_attributes():
repr[name] = getattr(self, name)
# serialize the uuid field
repr['uuid'] = getattr(self, '_uuid')
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)
for (name, attribute) in iteritems(self._get_base_attributes()):
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'))
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:
raise AnsibleParserError(
"Vars in a %s must be specified as a dictionary, or a list of dictionaries"
% self.__class__.__name__,
obj=ds)
except TypeError as e:
raise AnsibleParserError(
"Invalid variable name in vars specified for %s: %s" %
(self.__class__.__name__, e),
obj=ds)
def _extend_value(self, value, new_value):
'''
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]
#return list(set(value + new_value))
return [i for i, _ in itertools.groupby(value + new_value)]
def __getstate__(self):
return self.serialize()
def __setstate__(self, data):
self.__init__()
self.deserialize(data)
