netdata/python.d/python_modules/pyyaml3/representer.py at master · jackycheng86/netdata · GitHub

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__all__ = ['BaseRepresenter', 'SafeRepresenter', 'Representer',

'RepresenterError']

from .error import *

from .nodes import *

import datetime, sys, copyreg, types, base64

class RepresenterError(YAMLError):

pass

class BaseRepresenter:

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 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())

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 in [None, ()]:

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: %s" % 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 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 = '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)

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.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)

netdata/python.d/python_modules/pyyaml3/representer.py at master · jackycheng86/netdata · GitHub

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