390 lines
14 KiB
Python
390 lines
14 KiB
Python
|
|
||
|
|
__all__ = ['BaseRepresenter', 'SafeRepresenter', 'Representer',
|
||
|
|
'RepresenterError']
|
||
|
|
|
||
|
|
from .error import *
|
||
|
|
from .nodes import *
|
||
|
|
|
||
|
|
import datetime, copyreg, types, base64, collections
|
||
|
|
|
||
|
|
class RepresenterError(YAMLError):
|
||
|
|
pass
|
||
|
|
|
||
|
|
class BaseRepresenter:
|
||
|
|
|
||
|
|
yaml_representers = {}
|
||
|
|
yaml_multi_representers = {}
|
||
|
|
|
||
|
|
def __init__(self, default_style=None, default_flow_style=False, sort_keys=True):
|
||
|
|
self.default_style = default_style
|
||
|
|
self.sort_keys = sort_keys
|
||
|
|
self.default_flow_style = default_flow_style
|
||
|
|
self.represented_objects = {}
|
||
|
|
self.object_keeper = []
|
||
|
|
self.alias_key = None
|
||
|
|
|
||
|
|
def represent(self, data):
|
||
|
|
node = self.represent_data(data)
|
||
|
|
self.serialize(node)
|
||
|
|
self.represented_objects = {}
|
||
|
|
self.object_keeper = []
|
||
|
|
self.alias_key = None
|
||
|
|
|
||
|
|
def represent_data(self, data):
|
||
|
|
if self.ignore_aliases(data):
|
||
|
|
self.alias_key = None
|
||
|
|
else:
|
||
|
|
self.alias_key = id(data)
|
||
|
|
if self.alias_key is not None:
|
||
|
|
if self.alias_key in self.represented_objects:
|
||
|
|
node = self.represented_objects[self.alias_key]
|
||
|
|
#if node is None:
|
||
|
|
# raise RepresenterError("recursive objects are not allowed: %r" % data)
|
||
|
|
return node
|
||
|
|
#self.represented_objects[alias_key] = None
|
||
|
|
self.object_keeper.append(data)
|
||
|
|
data_types = type(data).__mro__
|
||
|
|
if data_types[0] in self.yaml_representers:
|
||
|
|
node = self.yaml_representers[data_types[0]](self, data)
|
||
|
|
else:
|
||
|
|
for data_type in data_types:
|
||
|
|
if data_type in self.yaml_multi_representers:
|
||
|
|
node = self.yaml_multi_representers[data_type](self, data)
|
||
|
|
break
|
||
|
|
else:
|
||
|
|
if None in self.yaml_multi_representers:
|
||
|
|
node = self.yaml_multi_representers[None](self, data)
|
||
|
|
elif None in self.yaml_representers:
|
||
|
|
node = self.yaml_representers[None](self, data)
|
||
|
|
else:
|
||
|
|
node = ScalarNode(None, str(data))
|
||
|
|
#if alias_key is not None:
|
||
|
|
# self.represented_objects[alias_key] = node
|
||
|
|
return node
|
||
|
|
|
||
|
|
@classmethod
|
||
|
|
def add_representer(cls, data_type, representer):
|
||
|
|
if not 'yaml_representers' in cls.__dict__:
|
||
|
|
cls.yaml_representers = cls.yaml_representers.copy()
|
||
|
|
cls.yaml_representers[data_type] = representer
|
||
|
|
|
||
|
|
@classmethod
|
||
|
|
def add_multi_representer(cls, data_type, representer):
|
||
|
|
if not 'yaml_multi_representers' in cls.__dict__:
|
||
|
|
cls.yaml_multi_representers = cls.yaml_multi_representers.copy()
|
||
|
|
cls.yaml_multi_representers[data_type] = representer
|
||
|
|
|
||
|
|
def represent_scalar(self, tag, value, style=None):
|
||
|
|
if style is None:
|
||
|
|
style = self.default_style
|
||
|
|
node = ScalarNode(tag, value, style=style)
|
||
|
|
if self.alias_key is not None:
|
||
|
|
self.represented_objects[self.alias_key] = node
|
||
|
|
return node
|
||
|
|
|
||
|
|
def represent_sequence(self, tag, sequence, flow_style=None):
|
||
|
|
value = []
|
||
|
|
node = SequenceNode(tag, value, flow_style=flow_style)
|
||
|
|
if self.alias_key is not None:
|
||
|
|
self.represented_objects[self.alias_key] = node
|
||
|
|
best_style = True
|
||
|
|
for item in sequence:
|
||
|
|
node_item = self.represent_data(item)
|
||
|
|
if not (isinstance(node_item, ScalarNode) and not node_item.style):
|
||
|
|
best_style = False
|
||
|
|
value.append(node_item)
|
||
|
|
if flow_style is None:
|
||
|
|
if self.default_flow_style is not None:
|
||
|
|
node.flow_style = self.default_flow_style
|
||
|
|
else:
|
||
|
|
node.flow_style = best_style
|
||
|
|
return node
|
||
|
|
|
||
|
|
def represent_mapping(self, tag, mapping, flow_style=None):
|
||
|
|
value = []
|
||
|
|
node = MappingNode(tag, value, flow_style=flow_style)
|
||
|
|
if self.alias_key is not None:
|
||
|
|
self.represented_objects[self.alias_key] = node
|
||
|
|
best_style = True
|
||
|
|
if hasattr(mapping, 'items'):
|
||
|
|
mapping = list(mapping.items())
|
||
|
|
if self.sort_keys:
|
||
|
|
try:
|
||
|
|
mapping = sorted(mapping)
|
||
|
|
except TypeError:
|
||
|
|
pass
|
||
|
|
for item_key, item_value in mapping:
|
||
|
|
node_key = self.represent_data(item_key)
|
||
|
|
node_value = self.represent_data(item_value)
|
||
|
|
if not (isinstance(node_key, ScalarNode) and not node_key.style):
|
||
|
|
best_style = False
|
||
|
|
if not (isinstance(node_value, ScalarNode) and not node_value.style):
|
||
|
|
best_style = False
|
||
|
|
value.append((node_key, node_value))
|
||
|
|
if flow_style is None:
|
||
|
|
if self.default_flow_style is not None:
|
||
|
|
node.flow_style = self.default_flow_style
|
||
|
|
else:
|
||
|
|
node.flow_style = best_style
|
||
|
|
return node
|
||
|
|
|
||
|
|
def ignore_aliases(self, data):
|
||
|
|
return False
|
||
|
|
|
||
|
|
class SafeRepresenter(BaseRepresenter):
|
||
|
|
|
||
|
|
def ignore_aliases(self, data):
|
||
|
|
if data is None:
|
||
|
|
return True
|
||
|
|
if isinstance(data, tuple) and data == ():
|
||
|
|
return True
|
||
|
|
if isinstance(data, (str, bytes, bool, int, float)):
|
||
|
|
return True
|
||
|
|
|
||
|
|
def represent_none(self, data):
|
||
|
|
return self.represent_scalar('tag:yaml.org,2002:null', 'null')
|
||
|
|
|
||
|
|
def represent_str(self, data):
|
||
|
|
return self.represent_scalar('tag:yaml.org,2002:str', data)
|
||
|
|
|
||
|
|
def represent_binary(self, data):
|
||
|
|
if hasattr(base64, 'encodebytes'):
|
||
|
|
data = base64.encodebytes(data).decode('ascii')
|
||
|
|
else:
|
||
|
|
data = base64.encodestring(data).decode('ascii')
|
||
|
|
return self.represent_scalar('tag:yaml.org,2002:binary', data, style='|')
|
||
|
|
|
||
|
|
def represent_bool(self, data):
|
||
|
|
if data:
|
||
|
|
value = 'true'
|
||
|
|
else:
|
||
|
|
value = 'false'
|
||
|
|
return self.represent_scalar('tag:yaml.org,2002:bool', value)
|
||
|
|
|
||
|
|
def represent_int(self, data):
|
||
|
|
return self.represent_scalar('tag:yaml.org,2002:int', str(data))
|
||
|
|
|
||
|
|
inf_value = 1e300
|
||
|
|
while repr(inf_value) != repr(inf_value*inf_value):
|
||
|
|
inf_value *= inf_value
|
||
|
|
|
||
|
|
def represent_float(self, data):
|
||
|
|
if data != data or (data == 0.0 and data == 1.0):
|
||
|
|
value = '.nan'
|
||
|
|
elif data == self.inf_value:
|
||
|
|
value = '.inf'
|
||
|
|
elif data == -self.inf_value:
|
||
|
|
value = '-.inf'
|
||
|
|
else:
|
||
|
|
value = repr(data).lower()
|
||
|
|
# Note that in some cases `repr(data)` represents a float number
|
||
|
|
# without the decimal parts. For instance:
|
||
|
|
# >>> repr(1e17)
|
||
|
|
# '1e17'
|
||
|
|
# Unfortunately, this is not a valid float representation according
|
||
|
|
# to the definition of the `!!float` tag. We fix this by adding
|
||
|
|
# '.0' before the 'e' symbol.
|
||
|
|
if '.' not in value and 'e' in value:
|
||
|
|
value = value.replace('e', '.0e', 1)
|
||
|
|
return self.represent_scalar('tag:yaml.org,2002:float', value)
|
||
|
|
|
||
|
|
def represent_list(self, data):
|
||
|
|
#pairs = (len(data) > 0 and isinstance(data, list))
|
||
|
|
#if pairs:
|
||
|
|
# for item in data:
|
||
|
|
# if not isinstance(item, tuple) or len(item) != 2:
|
||
|
|
# pairs = False
|
||
|
|
# break
|
||
|
|
#if not pairs:
|
||
|
|
return self.represent_sequence('tag:yaml.org,2002:seq', data)
|
||
|
|
#value = []
|
||
|
|
#for item_key, item_value in data:
|
||
|
|
# value.append(self.represent_mapping(u'tag:yaml.org,2002:map',
|
||
|
|
# [(item_key, item_value)]))
|
||
|
|
#return SequenceNode(u'tag:yaml.org,2002:pairs', value)
|
||
|
|
|
||
|
|
def represent_dict(self, data):
|
||
|
|
return self.represent_mapping('tag:yaml.org,2002:map', data)
|
||
|
|
|
||
|
|
def represent_set(self, data):
|
||
|
|
value = {}
|
||
|
|
for key in data:
|
||
|
|
value[key] = None
|
||
|
|
return self.represent_mapping('tag:yaml.org,2002:set', value)
|
||
|
|
|
||
|
|
def represent_date(self, data):
|
||
|
|
value = data.isoformat()
|
||
|
|
return self.represent_scalar('tag:yaml.org,2002:timestamp', value)
|
||
|
|
|
||
|
|
def represent_datetime(self, data):
|
||
|
|
value = data.isoformat(' ')
|
||
|
|
return self.represent_scalar('tag:yaml.org,2002:timestamp', value)
|
||
|
|
|
||
|
|
def represent_yaml_object(self, tag, data, cls, flow_style=None):
|
||
|
|
if hasattr(data, '__getstate__'):
|
||
|
|
state = data.__getstate__()
|
||
|
|
else:
|
||
|
|
state = data.__dict__.copy()
|
||
|
|
return self.represent_mapping(tag, state, flow_style=flow_style)
|
||
|
|
|
||
|
|
def represent_undefined(self, data):
|
||
|
|
raise RepresenterError("cannot represent an object", data)
|
||
|
|
|
||
|
|
SafeRepresenter.add_representer(type(None),
|
||
|
|
SafeRepresenter.represent_none)
|
||
|
|
|
||
|
|
SafeRepresenter.add_representer(str,
|
||
|
|
SafeRepresenter.represent_str)
|
||
|
|
|
||
|
|
SafeRepresenter.add_representer(bytes,
|
||
|
|
SafeRepresenter.represent_binary)
|
||
|
|
|
||
|
|
SafeRepresenter.add_representer(bool,
|
||
|
|
SafeRepresenter.represent_bool)
|
||
|
|
|
||
|
|
SafeRepresenter.add_representer(int,
|
||
|
|
SafeRepresenter.represent_int)
|
||
|
|
|
||
|
|
SafeRepresenter.add_representer(float,
|
||
|
|
SafeRepresenter.represent_float)
|
||
|
|
|
||
|
|
SafeRepresenter.add_representer(list,
|
||
|
|
SafeRepresenter.represent_list)
|
||
|
|
|
||
|
|
SafeRepresenter.add_representer(tuple,
|
||
|
|
SafeRepresenter.represent_list)
|
||
|
|
|
||
|
|
SafeRepresenter.add_representer(dict,
|
||
|
|
SafeRepresenter.represent_dict)
|
||
|
|
|
||
|
|
SafeRepresenter.add_representer(set,
|
||
|
|
SafeRepresenter.represent_set)
|
||
|
|
|
||
|
|
SafeRepresenter.add_representer(datetime.date,
|
||
|
|
SafeRepresenter.represent_date)
|
||
|
|
|
||
|
|
SafeRepresenter.add_representer(datetime.datetime,
|
||
|
|
SafeRepresenter.represent_datetime)
|
||
|
|
|
||
|
|
SafeRepresenter.add_representer(None,
|
||
|
|
SafeRepresenter.represent_undefined)
|
||
|
|
|
||
|
|
class Representer(SafeRepresenter):
|
||
|
|
|
||
|
|
def represent_complex(self, data):
|
||
|
|
if data.imag == 0.0:
|
||
|
|
data = '%r' % data.real
|
||
|
|
elif data.real == 0.0:
|
||
|
|
data = '%rj' % data.imag
|
||
|
|
elif data.imag > 0:
|
||
|
|
data = '%r+%rj' % (data.real, data.imag)
|
||
|
|
else:
|
||
|
|
data = '%r%rj' % (data.real, data.imag)
|
||
|
|
return self.represent_scalar('tag:yaml.org,2002:python/complex', data)
|
||
|
|
|
||
|
|
def represent_tuple(self, data):
|
||
|
|
return self.represent_sequence('tag:yaml.org,2002:python/tuple', data)
|
||
|
|
|
||
|
|
def represent_name(self, data):
|
||
|
|
name = '%s.%s' % (data.__module__, data.__name__)
|
||
|
|
return self.represent_scalar('tag:yaml.org,2002:python/name:'+name, '')
|
||
|
|
|
||
|
|
def represent_module(self, data):
|
||
|
|
return self.represent_scalar(
|
||
|
|
'tag:yaml.org,2002:python/module:'+data.__name__, '')
|
||
|
|
|
||
|
|
def represent_object(self, data):
|
||
|
|
# We use __reduce__ API to save the data. data.__reduce__ returns
|
||
|
|
# a tuple of length 2-5:
|
||
|
|
# (function, args, state, listitems, dictitems)
|
||
|
|
|
||
|
|
# For reconstructing, we calls function(*args), then set its state,
|
||
|
|
# listitems, and dictitems if they are not None.
|
||
|
|
|
||
|
|
# A special case is when function.__name__ == '__newobj__'. In this
|
||
|
|
# case we create the object with args[0].__new__(*args).
|
||
|
|
|
||
|
|
# Another special case is when __reduce__ returns a string - we don't
|
||
|
|
# support it.
|
||
|
|
|
||
|
|
# We produce a !!python/object, !!python/object/new or
|
||
|
|
# !!python/object/apply node.
|
||
|
|
|
||
|
|
cls = type(data)
|
||
|
|
if cls in copyreg.dispatch_table:
|
||
|
|
reduce = copyreg.dispatch_table[cls](data)
|
||
|
|
elif hasattr(data, '__reduce_ex__'):
|
||
|
|
reduce = data.__reduce_ex__(2)
|
||
|
|
elif hasattr(data, '__reduce__'):
|
||
|
|
reduce = data.__reduce__()
|
||
|
|
else:
|
||
|
|
raise RepresenterError("cannot represent an object", data)
|
||
|
|
reduce = (list(reduce)+[None]*5)[:5]
|
||
|
|
function, args, state, listitems, dictitems = reduce
|
||
|
|
args = list(args)
|
||
|
|
if state is None:
|
||
|
|
state = {}
|
||
|
|
if listitems is not None:
|
||
|
|
listitems = list(listitems)
|
||
|
|
if dictitems is not None:
|
||
|
|
dictitems = dict(dictitems)
|
||
|
|
if function.__name__ == '__newobj__':
|
||
|
|
function = args[0]
|
||
|
|
args = args[1:]
|
||
|
|
tag = 'tag:yaml.org,2002:python/object/new:'
|
||
|
|
newobj = True
|
||
|
|
else:
|
||
|
|
tag = 'tag:yaml.org,2002:python/object/apply:'
|
||
|
|
newobj = False
|
||
|
|
function_name = '%s.%s' % (function.__module__, function.__name__)
|
||
|
|
if not args and not listitems and not dictitems \
|
||
|
|
and isinstance(state, dict) and newobj:
|
||
|
|
return self.represent_mapping(
|
||
|
|
'tag:yaml.org,2002:python/object:'+function_name, state)
|
||
|
|
if not listitems and not dictitems \
|
||
|
|
and isinstance(state, dict) and not state:
|
||
|
|
return self.represent_sequence(tag+function_name, args)
|
||
|
|
value = {}
|
||
|
|
if args:
|
||
|
|
value['args'] = args
|
||
|
|
if state or not isinstance(state, dict):
|
||
|
|
value['state'] = state
|
||
|
|
if listitems:
|
||
|
|
value['listitems'] = listitems
|
||
|
|
if dictitems:
|
||
|
|
value['dictitems'] = dictitems
|
||
|
|
return self.represent_mapping(tag+function_name, value)
|
||
|
|
|
||
|
|
def represent_ordered_dict(self, data):
|
||
|
|
# Provide uniform representation across different Python versions.
|
||
|
|
data_type = type(data)
|
||
|
|
tag = 'tag:yaml.org,2002:python/object/apply:%s.%s' \
|
||
|
|
% (data_type.__module__, data_type.__name__)
|
||
|
|
items = [[key, value] for key, value in data.items()]
|
||
|
|
return self.represent_sequence(tag, [items])
|
||
|
|
|
||
|
|
Representer.add_representer(complex,
|
||
|
|
Representer.represent_complex)
|
||
|
|
|
||
|
|
Representer.add_representer(tuple,
|
||
|
|
Representer.represent_tuple)
|
||
|
|
|
||
|
|
Representer.add_representer(type,
|
||
|
|
Representer.represent_name)
|
||
|
|
|
||
|
|
Representer.add_representer(collections.OrderedDict,
|
||
|
|
Representer.represent_ordered_dict)
|
||
|
|
|
||
|
|
Representer.add_representer(types.FunctionType,
|
||
|
|
Representer.represent_name)
|
||
|
|
|
||
|
|
Representer.add_representer(types.BuiltinFunctionType,
|
||
|
|
Representer.represent_name)
|
||
|
|
|
||
|
|
Representer.add_representer(types.ModuleType,
|
||
|
|
Representer.represent_module)
|
||
|
|
|
||
|
|
Representer.add_multi_representer(object,
|
||
|
|
Representer.represent_object)
|
||
|
|
|