D7net
Home
Console
Upload
information
Create File
Create Folder
About
Tools
:
/
proc
/
3
/
root
/
opt
/
imh-python
/
lib
/
python2.7
/
site-packages
/
yaml
/
Filename :
representer.py
back
Copy
__all__ = ['BaseRepresenter', 'SafeRepresenter', 'Representer', 'RepresenterError'] from error import * from nodes import * import datetime import sys, copy_reg, types class RepresenterError(YAMLError): pass class BaseRepresenter(object): yaml_representers = {} yaml_multi_representers = {} def __init__(self, default_style=None, default_flow_style=None): self.default_style = default_style 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 get_classobj_bases(self, cls): bases = [cls] for base in cls.__bases__: bases.extend(self.get_classobj_bases(base)) return bases 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 type(data) is types.InstanceType: data_types = self.get_classobj_bases(data.__class__)+list(data_types) 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, unicode(data)) #if alias_key is not None: # self.represented_objects[alias_key] = node return node 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 add_representer = classmethod(add_representer) 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 add_multi_representer = classmethod(add_multi_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 = mapping.items() mapping.sort() 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, unicode, bool, int, float)): return True def represent_none(self, data): return self.represent_scalar(u'tag:yaml.org,2002:null', u'null') def represent_str(self, data): tag = None style = None try: data = unicode(data, 'ascii') tag = u'tag:yaml.org,2002:str' except UnicodeDecodeError: try: data = unicode(data, 'utf-8') tag = u'tag:yaml.org,2002:str' except UnicodeDecodeError: data = data.encode('base64') tag = u'tag:yaml.org,2002:binary' style = '|' return self.represent_scalar(tag, data, style=style) def represent_unicode(self, data): return self.represent_scalar(u'tag:yaml.org,2002:str', data) def represent_bool(self, data): if data: value = u'true' else: value = u'false' return self.represent_scalar(u'tag:yaml.org,2002:bool', value) def represent_int(self, data): return self.represent_scalar(u'tag:yaml.org,2002:int', unicode(data)) def represent_long(self, data): return self.represent_scalar(u'tag:yaml.org,2002:int', unicode(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 = u'.nan' elif data == self.inf_value: value = u'.inf' elif data == -self.inf_value: value = u'-.inf' else: value = unicode(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 u'.' not in value and u'e' in value: value = value.replace(u'e', u'.0e', 1) return self.represent_scalar(u'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(u'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(u'tag:yaml.org,2002:map', data) def represent_set(self, data): value = {} for key in data: value[key] = None return self.represent_mapping(u'tag:yaml.org,2002:set', value) def represent_date(self, data): value = unicode(data.isoformat()) return self.represent_scalar(u'tag:yaml.org,2002:timestamp', value) def represent_datetime(self, data): value = unicode(data.isoformat(' ')) return self.represent_scalar(u'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: %s" % data) SafeRepresenter.add_representer(type(None), SafeRepresenter.represent_none) SafeRepresenter.add_representer(str, SafeRepresenter.represent_str) SafeRepresenter.add_representer(unicode, SafeRepresenter.represent_unicode) SafeRepresenter.add_representer(bool, SafeRepresenter.represent_bool) SafeRepresenter.add_representer(int, SafeRepresenter.represent_int) SafeRepresenter.add_representer(long, SafeRepresenter.represent_long) 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_str(self, data): tag = None style = None try: data = unicode(data, 'ascii') tag = u'tag:yaml.org,2002:str' except UnicodeDecodeError: try: data = unicode(data, 'utf-8') tag = u'tag:yaml.org,2002:python/str' except UnicodeDecodeError: data = data.encode('base64') tag = u'tag:yaml.org,2002:binary' style = '|' return self.represent_scalar(tag, data, style=style) def represent_unicode(self, data): tag = None try: data.encode('ascii') tag = u'tag:yaml.org,2002:python/unicode' except UnicodeEncodeError: tag = u'tag:yaml.org,2002:str' return self.represent_scalar(tag, data) def represent_long(self, data): tag = u'tag:yaml.org,2002:int' if int(data) is not data: tag = u'tag:yaml.org,2002:python/long' return self.represent_scalar(tag, unicode(data)) def represent_complex(self, data): if data.imag == 0.0: data = u'%r' % data.real elif data.real == 0.0: data = u'%rj' % data.imag elif data.imag > 0: data = u'%r+%rj' % (data.real, data.imag) else: data = u'%r%rj' % (data.real, data.imag) return self.represent_scalar(u'tag:yaml.org,2002:python/complex', data) def represent_tuple(self, data): return self.represent_sequence(u'tag:yaml.org,2002:python/tuple', data) def represent_name(self, data): name = u'%s.%s' % (data.__module__, data.__name__) return self.represent_scalar(u'tag:yaml.org,2002:python/name:'+name, u'') def represent_module(self, data): return self.represent_scalar( u'tag:yaml.org,2002:python/module:'+data.__name__, u'') def represent_instance(self, data): # For instances of classic classes, we use __getinitargs__ and # __getstate__ to serialize the data. # If data.__getinitargs__ exists, the object must be reconstructed by # calling cls(**args), where args is a tuple returned by # __getinitargs__. Otherwise, the cls.__init__ method should never be # called and the class instance is created by instantiating a trivial # class and assigning to the instance's __class__ variable. # If data.__getstate__ exists, it returns the state of the object. # Otherwise, the state of the object is data.__dict__. # We produce either a !!python/object or !!python/object/new node. # If data.__getinitargs__ does not exist and state is a dictionary, we # produce a !!python/object node . Otherwise we produce a # !!python/object/new node. cls = data.__class__ class_name = u'%s.%s' % (cls.__module__, cls.__name__) args = None state = None if hasattr(data, '__getinitargs__'): args = list(data.__getinitargs__()) if hasattr(data, '__getstate__'): state = data.__getstate__() else: state = data.__dict__ if args is None and isinstance(state, dict): return self.represent_mapping( u'tag:yaml.org,2002:python/object:'+class_name, state) if isinstance(state, dict) and not state: return self.represent_sequence( u'tag:yaml.org,2002:python/object/new:'+class_name, args) value = {} if args: value['args'] = args value['state'] = state return self.represent_mapping( u'tag:yaml.org,2002:python/object/new:'+class_name, value) 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 copy_reg.dispatch_table: reduce = copy_reg.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 object: %r" % 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 = u'tag:yaml.org,2002:python/object/new:' newobj = True else: tag = u'tag:yaml.org,2002:python/object/apply:' newobj = False function_name = u'%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( u'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) Representer.add_representer(str, Representer.represent_str) Representer.add_representer(unicode, Representer.represent_unicode) Representer.add_representer(long, Representer.represent_long) Representer.add_representer(complex, Representer.represent_complex) Representer.add_representer(tuple, Representer.represent_tuple) Representer.add_representer(type, Representer.represent_name) Representer.add_representer(types.ClassType, Representer.represent_name) 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(types.InstanceType, Representer.represent_instance) Representer.add_multi_representer(object, Representer.represent_object)