>>> import yaml
>>> yaml.dump(b, default_flow_style=True)
'!munch.Munch {foo: [bar, !munch.Munch {lol: true}], hello: 42}\\n'
"""
return dumper.represent_mapping(u('!munch.Munch'), data)
for loader_name in ("BaseLoader", "FullLoader", "SafeLoader", "Loader", "UnsafeLoader", "DangerLoader"):
LoaderCls = getattr(yaml, loader_name, None)
if LoaderCls is None:
# This code supports both PyYAML 4.x and 5.x versions
continue
yaml.add_constructor(u('!munch'), from_yaml, Loader=LoaderCls)
yaml.add_constructor(u('!munch.Munch'), from_yaml, Loader=LoaderCls)
SafeRepresenter.add_representer(Munch, to_yaml_safe)
SafeRepresenter.add_multi_representer(Munch, to_yaml_safe)
Representer.add_representer(Munch, to_yaml)
Representer.add_multi_representer(Munch, to_yaml)
# Instance methods for YAML conversion
def toYAML(self, **options):
""" Serializes this Munch to YAML, using `yaml.safe_dump()` if
no `Dumper` is provided. See the PyYAML documentation for more info.
>>> b = Munch(foo=['bar', Munch(lol=True)], hello=42)
>>> import yaml
>>> yaml.safe_dump(b, default_flow_style=True)
'{foo: [bar, {lol: true}], hello: 42}\\n'
>>> b.toYAML(default_flow_style=True)
'{foo: [bar, {lol: true}], hello: 42}\\n'
def to_yaml(dumper, data):
""" Converts OrderedBunch to a representation node.
>>> b = OrderedBunch(foo=['bar', OrderedBunch(lol=True)], hello=42)
>>> import yaml
>>> yaml.dump(b, default_flow_style=True)
'!bunch.OrderedBunch {foo: [bar, !bunch.OrderedBunch {lol: true}], hello: 42}\\n'
"""
return dumper.represent_mapping(u'!orderedbunch.OrderedBunch', data)
yaml.add_constructor(u'!orderedbunch', from_yaml)
yaml.add_constructor(u'!orderedbunch.OrderedBunch', from_yaml)
SafeRepresenter.add_representer(OrderedBunch, to_yaml_safe)
SafeRepresenter.add_multi_representer(OrderedBunch, to_yaml_safe)
Representer.add_representer(OrderedBunch, to_yaml)
Representer.add_multi_representer(OrderedBunch, to_yaml)
# Instance methods for YAML conversion
def toYAML(self, **options):
""" Serializes this OrderedBunch to YAML, using `yaml.safe_dump()` if
no `Dumper` is provided. See the PyYAML documentation for more info.
>>> b = OrderedBunch(foo=['bar', OrderedBunch(lol=True)], hello=42)
>>> import yaml
>>> yaml.safe_dump(b, default_flow_style=True)
'{foo: [bar, {lol: true}], hello: 42}\\n'
>>> b.toYAML(default_flow_style=True)
'{foo: [bar, {lol: true}], hello: 42}\\n'
def to_yaml(dumper, data):
""" Converts OrderedBunch to a representation node.
>>> b = OrderedBunch(foo=['bar', OrderedBunch(lol=True)], hello=42)
>>> import yaml
>>> yaml.dump(b, default_flow_style=True)
'!bunch.OrderedBunch {foo: [bar, !bunch.OrderedBunch {lol: true}], hello: 42}\\n'
"""
return dumper.represent_mapping(u'!orderedbunch.OrderedBunch', data)
yaml.add_constructor(u'!orderedbunch', from_yaml)
yaml.add_constructor(u'!orderedbunch.OrderedBunch', from_yaml)
SafeRepresenter.add_representer(OrderedBunch, to_yaml_safe)
SafeRepresenter.add_multi_representer(OrderedBunch, to_yaml_safe)
Representer.add_representer(OrderedBunch, to_yaml)
Representer.add_multi_representer(OrderedBunch, to_yaml)
# Instance methods for YAML conversion
def toYAML(self, **options):
""" Serializes this OrderedBunch to YAML, using `yaml.safe_dump()` if
no `Dumper` is provided. See the PyYAML documentation for more info.
>>> b = OrderedBunch(foo=['bar', OrderedBunch(lol=True)], hello=42)
>>> import yaml
>>> yaml.safe_dump(b, default_flow_style=True)
'{foo: [bar, {lol: true}], hello: 42}\\n'
>>> b.toYAML(default_flow_style=True)
def to_yaml(dumper, data):
""" Converts Munch to a representation node.
>>> b = Munch(foo=['bar', Munch(lol=True)], hello=42)
>>> import yaml
>>> yaml.dump(b, default_flow_style=True)
'!munch.Munch {foo: [bar, !munch.Munch {lol: true}], hello: 42}\\n'
"""
return dumper.represent_mapping(u('!munch.Munch'), data)
yaml.add_constructor(u('!munch'), from_yaml)
yaml.add_constructor(u('!munch.Munch'), from_yaml)
SafeRepresenter.add_representer(Munch, to_yaml_safe)
SafeRepresenter.add_multi_representer(Munch, to_yaml_safe)
Representer.add_representer(Munch, to_yaml)
Representer.add_multi_representer(Munch, to_yaml)
# Instance methods for YAML conversion
def toYAML(self, **options):
""" Serializes this Munch to YAML, using `yaml.safe_dump()` if
no `Dumper` is provided. See the PyYAML documentation for more info.
>>> b = Munch(foo=['bar', Munch(lol=True)], hello=42)
>>> import yaml
>>> yaml.safe_dump(b, default_flow_style=True)
'{foo: [bar, {lol: true}], hello: 42}\\n'
>>> b.toYAML(default_flow_style=True)
'{foo: [bar, {lol: true}], hello: 42}\\n'
}
def toyaml(*records, **kw):
if kw: records += (kw,)
# SafeDumper will not emit python/foo tags for unicode or objects
return yaml.safe_dump_all(records, **DEFAULT_OPTIONS)
def write_yaml(*records, **options):
options = merge({}, DEFAULT_OPTIONS, options)
return yaml.safe_dump_all(records, **options)
from path import path
from yaml.representer import Representer, SafeRepresenter
SafeRepresenter.add_representer(path, SafeRepresenter.represent_unicode)
SafeRepresenter.add_multi_representer(path, SafeRepresenter.represent_unicode)
Representer.add_representer(path, Representer.represent_unicode)
Representer.add_multi_representer(path, Representer.represent_unicode)
import types
from yaml import Dumper, SafeDumper
class PPDumper(SafeDumper, Dumper):
pass
# PPDumper.add_representer(unicode, SafeDumper.represent_unicode)
# PPDumper.add_representer(types.ClassType, Dumper.represent_name)
# PPDumper.add_representer(types.FunctionType, Dumper.represent_name)
# PPDumper.add_representer(types.BuiltinFunctionType, Dumper.represent_name)
def dict_dump(self):
return unstitch(self)
def from_yaml(loader, node):
data = Threads()
yield data
value = loader.construct_mapping(node)
data.update(value)
def to_yaml(dumper, data):
return dumper.represent_mapping(six.u('!threads.Threads'), data)
def to_yaml_safe(dumper, data):
return dumper.represent_dict(data)
yaml.add_constructor(six.u('!threads'), from_yaml)
yaml.add_constructor(six.u('!threads.Threads'), from_yaml)
Representer.add_representer(Threads, to_yaml)
Representer.add_multi_representer(Threads, to_yaml)
SafeRepresenter.add_representer(Threads, to_yaml_safe)
SafeRepresenter.add_multi_representer(Threads, to_yaml_safe)
items = Threads(a=0, b=1, c=[0, 2], d=Threads(x=0, y=1, z=2))
print items.yaml_dump()
raise ConstructorError(
'while constructing a mapping', node.start_mark,
'found unacceptable key (%s)' % exc, key_node.start_mark)
attrdict[key] = loader.construct_object(value_node, deep=False)
class AttrDictYAMLLoader(Loader):
'''A YAML loader that loads mappings into ordered AttrDict.
>>> attrdict = yaml.load('x: 1\ny: 2', Loader=AttrDictYAMLLoader)
'''
def __init__(self, *args, **kwargs):
super(AttrDictYAMLLoader, self).__init__(*args, **kwargs)
self.add_constructor(u'tag:yaml.org,2002:map', from_yaml)
self.add_constructor(u'tag:yaml.org,2002:omap', from_yaml)
def to_yaml(dumper, data):
'Convert AttrDict to dictionary, preserving order'
# yaml.representer.BaseRepresenter.represent_mapping sorts keys if the
# object has .items(). So instead, pass the items directly.
return dumper.represent_mapping(u'tag:yaml.org,2002:map', data.items())
SafeRepresenter.add_representer(AttrDict, to_yaml)
SafeRepresenter.add_multi_representer(AttrDict, to_yaml)
Representer.add_representer(AttrDict, to_yaml)
Representer.add_multi_representer(AttrDict, to_yaml)
def to_yaml(dumper, data):
""" Converts Chunk to a representation node.
>>> b = Chunk(foo=['bar', Chunk(lol=True)], hello=42)
>>> import yaml
>>> yaml.dump(b, default_flow_style=True)
'!chunk.Chunk {foo: [bar, !chunk.Chunk {lol: true}], hello: 42}\\n'
"""
return dumper.represent_mapping(u('!chunk.Chunk'), data)
yaml.add_constructor(u('!chunk'), from_yaml)
yaml.add_constructor(u('!chunk.Chunk'), from_yaml)
SafeRepresenter.add_representer(Chunk, to_yaml_safe)
SafeRepresenter.add_multi_representer(Chunk, to_yaml_safe)
Representer.add_representer(Chunk, to_yaml)
Representer.add_multi_representer(Chunk, to_yaml)
# Instance methods for YAML conversion
def toYAML(self, **options):
""" Serializes this Chunk to YAML, using `yaml.safe_dump()` if
no `Dumper` is provided. See the PyYAML documentation for more info.
>>> b = Chunk(foo=['bar', Chunk(lol=True)], hello=42)
>>> import yaml
>>> yaml.safe_dump(b, default_flow_style=True)
'{foo: [bar, {lol: true}], hello: 42}\\n'
>>> b.toYAML(default_flow_style=True)
'{foo: [bar, {lol: true}], hello: 42}\\n'
for item in result[c.name]:
if isinstance(item, SAModelMixin):
item = copy(item)
item._embedded_as = c
l.append(item)
result[c.name] = l
return result
@staticmethod
def yaml_safe_representer(dumper, data):
return dumper.represent_mapping(
u'tag:yaml.org,2002:map', data.as_dict().items(), flow_style=False)
try:
from yaml.representer import SafeRepresenter
SafeRepresenter.add_multi_representer(
SAModelMixin, SAModelMixin.yaml_safe_representer)
del SafeRepresenter
except ImportError: # pragma: no cover
pass
def hasUserMixin(owner_id_field):
"""
Quite specific helper, that was made to ease working with permissions
for models referencing Django-like user objects.
"""
class HasUserMixin(object):
@classmethod
def check_class_permissions(cls, user=None):
if user is None and hasattr(g, "user"):
user = g.user
raise ConstructorError('while constructing a mapping',
node.start_mark,
'found unacceptable key (%s)' % exc,
key_node.start_mark)
attrdict[key] = loader.construct_object(value_node, deep=False)
class AttrDictYAMLLoader(Loader):
'''A YAML loader that loads mappings into ordered AttrDict.
>>> attrdict = yaml.load('x: 1\ny: 2', Loader=AttrDictYAMLLoader)
'''
def __init__(self, *args, **kwargs):
super(AttrDictYAMLLoader, self).__init__(*args, **kwargs)
self.add_constructor(u'tag:yaml.org,2002:map', from_yaml)
self.add_constructor(u'tag:yaml.org,2002:omap', from_yaml)
def to_yaml(dumper, data):
'Convert AttrDict to dictionary, preserving order'
# yaml.representer.BaseRepresenter.represent_mapping sorts keys if the
# object has .items(). So instead, pass the items directly.
return dumper.represent_mapping(u'tag:yaml.org,2002:map', data.items())
SafeRepresenter.add_representer(AttrDict, to_yaml)
SafeRepresenter.add_multi_representer(AttrDict, to_yaml)
Representer.add_representer(AttrDict, to_yaml)
Representer.add_multi_representer(AttrDict, to_yaml)
def dict_dump(self):
return unstitch(self)
def from_yaml(loader, node):
data = Threads()
yield data
value = loader.construct_mapping(node)
data.update(value)
def to_yaml(dumper, data):
return dumper.represent_mapping(six.u('!threads.Threads'), data)
def to_yaml_safe(dumper, data):
return dumper.represent_dict(data)
yaml.add_constructor(six.u('!threads'), from_yaml)
yaml.add_constructor(six.u('!threads.Threads'), from_yaml)
Representer.add_representer(Threads, to_yaml)
Representer.add_multi_representer(Threads, to_yaml)
SafeRepresenter.add_representer(Threads, to_yaml_safe)
SafeRepresenter.add_multi_representer(Threads, to_yaml_safe)
items = Threads(a=0, b=1, c=[0, 2], d=Threads(x=0, y=1, z=2))
print items.yaml_dump()