from __future__ import annotations import base64 import collections import copyreg import datetime import types from ruyaml.anchor import Anchor from ruyaml.comments import ( CommentedKeyMap, CommentedKeySeq, CommentedMap, CommentedOrderedMap, CommentedSeq, CommentedSet, TaggedScalar, comment_attrib, merge_attrib, ) from ruyaml.compat import nprint, nprintf, ordereddict # NOQA from ruyaml.error import * # NOQA from ruyaml.nodes import * # NOQA from ruyaml.scalarbool import ScalarBoolean from ruyaml.scalarfloat import ScalarFloat from ruyaml.scalarint import BinaryInt, HexCapsInt, HexInt, OctalInt, ScalarInt from ruyaml.scalarstring import ( DoubleQuotedScalarString, FoldedScalarString, LiteralScalarString, PlainScalarString, SingleQuotedScalarString, ) from ruyaml.timestamp import TimeStamp if False: # MYPY from typing import Any, Dict, List, Optional, Text, Union # NOQA # fmt: off __all__ = ['BaseRepresenter', 'SafeRepresenter', 'Representer', 'RepresenterError', 'RoundTripRepresenter'] # fmt: on class RepresenterError(YAMLError): pass class BaseRepresenter: yaml_representers: Dict[Any, Any] = {} yaml_multi_representers: Dict[Any, Any] = {} def __init__( self: Any, default_style: Any = None, default_flow_style: Any = None, dumper: Any = None, ) -> None: self.dumper = dumper if self.dumper is not None: self.dumper._representer = self self.default_style = default_style self.default_flow_style = default_flow_style self.represented_objects: Dict[Any, Any] = {} self.object_keeper: List[Any] = [] self.alias_key: Optional[int] = None self.sort_base_mapping_type_on_output = True @property def serializer(self) -> Any: try: if hasattr(self.dumper, 'typ'): return self.dumper.serializer # type: ignore return self.dumper._serializer # type: ignore except AttributeError: return self # cyaml def represent(self, data: Any) -> None: node = self.represent_data(data) self.serializer.serialize(node) self.represented_objects = {} self.object_keeper = [] self.alias_key = None def represent_data(self, data: Any) -> Any: 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( # f"recursive objects are not allowed: {data!r}") 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 def represent_key(self, data: Any) -> Any: """ David Fraser: Extract a method to represent keys in mappings, so that a subclass can choose not to quote them (for example) used in represent_mapping https://bitbucket.org/davidfraser/pyyaml/commits/d81df6eb95f20cac4a79eed95ae553b5c6f77b8c """ return self.represent_data(data) @classmethod def add_representer(cls, data_type: Any, representer: Any) -> None: if 'yaml_representers' not in cls.__dict__: cls.yaml_representers = cls.yaml_representers.copy() cls.yaml_representers[data_type] = representer @classmethod def add_multi_representer(cls, data_type: Any, representer: Any) -> None: if 'yaml_multi_representers' not in cls.__dict__: cls.yaml_multi_representers = cls.yaml_multi_representers.copy() cls.yaml_multi_representers[data_type] = representer def represent_scalar( self, tag: Any, value: Any, style: Any = None, anchor: Any = None, ) -> ScalarNode: if style is None: style = self.default_style comment = None if style and style[0] in '|>': comment = getattr(value, 'comment', None) if comment: comment = [None, [comment]] if isinstance(tag, str): tag = Tag(suffix=tag) node = ScalarNode(tag, value, style=style, comment=comment, anchor=anchor) if self.alias_key is not None: self.represented_objects[self.alias_key] = node return node def represent_sequence( self, tag: Any, sequence: Any, flow_style: Any = None, ) -> SequenceNode: value: List[Any] = [] if isinstance(tag, str): tag = Tag(suffix=tag) 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_omap( self, tag: Any, omap: Any, flow_style: Any = None ) -> SequenceNode: value: List[Any] = [] if isinstance(tag, str): tag = Tag(suffix=tag) 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_key in omap: item_val = omap[item_key] node_item = self.represent_data({item_key: item_val}) # 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: Any, mapping: Any, flow_style: Any = None ) -> MappingNode: value: List[Any] = [] if isinstance(tag, str): tag = Tag(suffix=tag) 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_base_mapping_type_on_output: try: mapping = sorted(mapping) except TypeError: pass for item_key, item_value in mapping: node_key = self.represent_key(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: Any) -> bool: return False class SafeRepresenter(BaseRepresenter): def ignore_aliases(self, data: Any) -> bool: # https://docs.python.org/3/reference/expressions.html#parenthesized-forms : # "i.e. two occurrences of the empty tuple may or may not yield the same object" # so "data is ()" should not be used if data is None or (isinstance(data, tuple) and data == ()): return True if isinstance(data, (bytes, str, bool, int, float)): return True return False def represent_none(self, data: Any) -> ScalarNode: return self.represent_scalar('tag:yaml.org,2002:null', 'null') def represent_str(self, data: Any) -> Any: return self.represent_scalar('tag:yaml.org,2002:str', data) def represent_binary(self, data: Any) -> ScalarNode: if hasattr(base64, 'encodebytes'): data = base64.encodebytes(data).decode('ascii') else: # check py2 only? data = base64.encodestring(data).decode('ascii') # type: ignore return self.represent_scalar('tag:yaml.org,2002:binary', data, style='|') def represent_bool(self, data: Any, anchor: Optional[Any] = None) -> ScalarNode: try: value = self.dumper.boolean_representation[bool(data)] # type: ignore except AttributeError: if data: value = 'true' else: value = 'false' return self.represent_scalar('tag:yaml.org,2002:bool', value, anchor=anchor) def represent_int(self, data: Any) -> ScalarNode: 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: Any) -> ScalarNode: 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() if getattr(self.serializer, 'use_version', None) == (1, 1): if '.' not in value and 'e' in value: # 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 in YAML 1.1. We fix # this by adding '.0' before the 'e' symbol. value = value.replace('e', '.0e', 1) return self.represent_scalar('tag:yaml.org,2002:float', value) def represent_list(self, data: Any) -> SequenceNode: # 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('tag:yaml.org,2002:map', # [(item_key, item_value)])) # return SequenceNode('tag:yaml.org,2002:pairs', value) def represent_dict(self, data: Any) -> MappingNode: return self.represent_mapping('tag:yaml.org,2002:map', data) def represent_ordereddict(self, data: Any) -> SequenceNode: return self.represent_omap('tag:yaml.org,2002:omap', data) def represent_set(self, data: Any) -> MappingNode: value: Dict[Any, None] = {} for key in data: value[key] = None return self.represent_mapping('tag:yaml.org,2002:set', value) def represent_date(self, data: Any) -> ScalarNode: value = data.isoformat() return self.represent_scalar('tag:yaml.org,2002:timestamp', value) def represent_datetime(self, data: Any) -> ScalarNode: value = data.isoformat(' ') return self.represent_scalar('tag:yaml.org,2002:timestamp', value) def represent_yaml_object( self, tag: Any, data: Any, cls: Any, flow_style: Any = None, ) -> MappingNode: 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: Any) -> None: raise RepresenterError( f'cannot represent {data.__class__.__name__!r}: {data!s}' ) 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(ordereddict, SafeRepresenter.represent_ordereddict) SafeRepresenter.add_representer( collections.OrderedDict, SafeRepresenter.represent_ordereddict, ) 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: Any) -> Any: if data.imag == 0.0: data = repr(data.real) elif data.real == 0.0: data = f'{data.imag!r}j' elif data.imag > 0: data = f'{data.real!r}+{data.imag!r}j' else: data = f'{data.real!r}{data.imag!r}j' return self.represent_scalar('tag:yaml.org,2002:python/complex', data) def represent_tuple(self, data: Any) -> SequenceNode: return self.represent_sequence('tag:yaml.org,2002:python/tuple', data) def represent_name(self, data: Any) -> ScalarNode: try: name = f'{data.__module__!s}.{data.__qualname__!s}' except AttributeError: # ToDo: check if this can be reached in Py3 name = f'{data.__module__!s}.{data.__name__!s}' return self.represent_scalar('tag:yaml.org,2002:python/name:' + name, "") def represent_module(self, data: Any) -> ScalarNode: return self.represent_scalar( 'tag:yaml.org,2002:python/module:' + data.__name__, "" ) def represent_object(self, data: Any) -> Union[SequenceNode, MappingNode]: # 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: Any = 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(f'cannot represent object: {data!r}') 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 try: function_name = f'{function.__module__!s}.{function.__qualname__!s}' except AttributeError: # ToDo: check if this can be reached in Py3 function_name = f'{function.__module__!s}.{function.__name__!s}' 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) Representer.add_multi_representer(type, Representer.represent_name) class RoundTripRepresenter(SafeRepresenter): # need to add type here and write out the .comment # in serializer and emitter def __init__( self, default_style: Any = None, default_flow_style: Any = None, dumper: Any = None, ) -> None: if not hasattr(dumper, 'typ') and default_flow_style is None: default_flow_style = False SafeRepresenter.__init__( self, default_style=default_style, default_flow_style=default_flow_style, dumper=dumper, ) def ignore_aliases(self, data: Any) -> bool: try: if data.anchor is not None and data.anchor.value is not None: return False except AttributeError: pass return SafeRepresenter.ignore_aliases(self, data) def represent_none(self, data: Any) -> ScalarNode: if ( len(self.represented_objects) == 0 and not self.serializer.use_explicit_start ): # this will be open ended (although it is not yet) return self.represent_scalar('tag:yaml.org,2002:null', 'null') return self.represent_scalar('tag:yaml.org,2002:null', "") def represent_literal_scalarstring(self, data: Any) -> ScalarNode: tag = None style = '|' anchor = data.yaml_anchor(any=True) tag = 'tag:yaml.org,2002:str' return self.represent_scalar(tag, data, style=style, anchor=anchor) represent_preserved_scalarstring = represent_literal_scalarstring def represent_folded_scalarstring(self, data: Any) -> ScalarNode: tag = None style = '>' anchor = data.yaml_anchor(any=True) for fold_pos in reversed(getattr(data, 'fold_pos', [])): if ( data[fold_pos] == ' ' and (fold_pos > 0 and not data[fold_pos - 1].isspace()) and (fold_pos < len(data) and not data[fold_pos + 1].isspace()) ): data = data[:fold_pos] + '\a' + data[fold_pos:] tag = 'tag:yaml.org,2002:str' return self.represent_scalar(tag, data, style=style, anchor=anchor) def represent_single_quoted_scalarstring(self, data: Any) -> ScalarNode: tag = None style = "'" anchor = data.yaml_anchor(any=True) tag = 'tag:yaml.org,2002:str' return self.represent_scalar(tag, data, style=style, anchor=anchor) def represent_double_quoted_scalarstring(self, data: Any) -> ScalarNode: tag = None style = '"' anchor = data.yaml_anchor(any=True) tag = 'tag:yaml.org,2002:str' return self.represent_scalar(tag, data, style=style, anchor=anchor) def represent_plain_scalarstring(self, data: Any) -> ScalarNode: tag = None style = '' anchor = data.yaml_anchor(any=True) tag = 'tag:yaml.org,2002:str' return self.represent_scalar(tag, data, style=style, anchor=anchor) def insert_underscore( self, prefix: Any, s: Any, underscore: Any, anchor: Any = None, ) -> ScalarNode: if underscore is None: return self.represent_scalar( 'tag:yaml.org,2002:int', prefix + s, anchor=anchor ) if underscore[0]: sl = list(s) pos = len(s) - underscore[0] while pos > 0: sl.insert(pos, '_') pos -= underscore[0] s = "".join(sl) if underscore[1]: s = '_' + s if underscore[2]: s += '_' return self.represent_scalar('tag:yaml.org,2002:int', prefix + s, anchor=anchor) def represent_scalar_int(self, data: Any) -> ScalarNode: if data._width is not None: s = f'{data:0{data._width}d}' else: s = format(data, 'd') anchor = data.yaml_anchor(any=True) return self.insert_underscore("", s, data._underscore, anchor=anchor) def represent_binary_int(self, data: Any) -> ScalarNode: if data._width is not None: # cannot use '{:#0{}b}', that strips the zeros s = f'{data:0{data._width}b}' else: s = format(data, 'b') anchor = data.yaml_anchor(any=True) return self.insert_underscore('0b', s, data._underscore, anchor=anchor) def represent_octal_int(self, data: Any) -> ScalarNode: if data._width is not None: # cannot use '{:#0{}o}', that strips the zeros s = f'{data:0{data._width}o}' else: s = format(data, 'o') anchor = data.yaml_anchor(any=True) prefix = '0o' if getattr(self.serializer, 'use_version', None) == (1, 1): prefix = '0' return self.insert_underscore(prefix, s, data._underscore, anchor=anchor) def represent_hex_int(self, data: Any) -> ScalarNode: if data._width is not None: # cannot use '{:#0{}x}', that strips the zeros s = f'{data:0{data._width}x}' else: s = format(data, 'x') anchor = data.yaml_anchor(any=True) return self.insert_underscore('0x', s, data._underscore, anchor=anchor) def represent_hex_caps_int(self, data: Any) -> ScalarNode: if data._width is not None: # cannot use '{:#0{}X}', that strips the zeros s = f'{data:0{data._width}X}' else: s = format(data, 'X') anchor = data.yaml_anchor(any=True) return self.insert_underscore('0x', s, data._underscore, anchor=anchor) def represent_scalar_float(self, data: Any) -> ScalarNode: """this is way more complicated""" value = None anchor = data.yaml_anchor(any=True) 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' if value: return self.represent_scalar( 'tag:yaml.org,2002:float', value, anchor=anchor ) if data._exp is None and data._prec > 0 and data._prec == data._width - 1: # no exponent, but trailing dot value = f'{data._m_sign if data._m_sign else ""}{abs(int(data)):d}.' elif data._exp is None: # no exponent, "normal" dot prec = data._prec ms = data._m_sign if data._m_sign else "" if prec < 0: value = f'{ms}{abs(int(data)):0{data._width - len(ms)}d}' else: # -1 for the dot value = f'{ms}{abs(data):0{data._width - len(ms)}.{data._width - prec - 1}f}' if prec == 0 or (prec == 1 and ms != ""): value = value.replace('0.', '.') while len(value) < data._width: value += '0' else: # exponent ( m, es, ) = f'{data:{data._width}.{data._width + (1 if data._m_sign else 0)}e}'.split( 'e' ) w = data._width if data._prec > 0 else (data._width + 1) if data < 0: w += 1 m = m[:w] e = int(es) m1, m2 = m.split('.') # always second? while len(m1) + len(m2) < data._width - (1 if data._prec >= 0 else 0): m2 += '0' if data._m_sign and data > 0: m1 = '+' + m1 esgn = '+' if data._e_sign else "" if data._prec < 0: # mantissa without dot if m2 != '0': e -= len(m2) else: m2 = "" while (len(m1) + len(m2) - (1 if data._m_sign else 0)) < data._width: m2 += '0' e -= 1 value = m1 + m2 + data._exp + f'{e:{esgn}0{data._e_width}d}' elif data._prec == 0: # mantissa with trailing dot e -= len(m2) value = m1 + m2 + '.' + data._exp + f'{e:{esgn}0{data._e_width}d}' else: if data._m_lead0 > 0: m2 = '0' * (data._m_lead0 - 1) + m1 + m2 m1 = '0' m2 = m2[: -data._m_lead0] # these should be zeros e += data._m_lead0 while len(m1) < data._prec: m1 += m2[0] m2 = m2[1:] e -= 1 value = m1 + '.' + m2 + data._exp + f'{e:{esgn}0{data._e_width}d}' if value is None: value = repr(data).lower() return self.represent_scalar('tag:yaml.org,2002:float', value, anchor=anchor) def represent_sequence( self, tag: Any, sequence: Any, flow_style: Any = None, ) -> SequenceNode: value: List[Any] = [] # if the flow_style is None, the flow style tacked on to the object # explicitly will be taken. If that is None as well the default flow # style rules try: flow_style = sequence.fa.flow_style(flow_style) except AttributeError: flow_style = flow_style try: anchor = sequence.yaml_anchor() except AttributeError: anchor = None if isinstance(tag, str): tag = Tag(suffix=tag) node = SequenceNode(tag, value, flow_style=flow_style, anchor=anchor) if self.alias_key is not None: self.represented_objects[self.alias_key] = node best_style = True try: comment = getattr(sequence, comment_attrib) node.comment = comment.comment # reset any comment already printed information if node.comment and node.comment[1]: for ct in node.comment[1]: ct.reset() item_comments = comment.items for v in item_comments.values(): if v and v[1]: for ct in v[1]: ct.reset() item_comments = comment.items if node.comment is None: node.comment = comment.comment else: # as we are potentially going to extend this, make a new list node.comment = comment.comment[:] try: node.comment.append(comment.end) except AttributeError: pass except AttributeError: item_comments = {} for idx, item in enumerate(sequence): node_item = self.represent_data(item) self.merge_comments(node_item, item_comments.get(idx)) if not (isinstance(node_item, ScalarNode) and not node_item.style): best_style = False value.append(node_item) if flow_style is None: if len(sequence) != 0 and self.default_flow_style is not None: node.flow_style = self.default_flow_style else: node.flow_style = best_style return node def merge_comments(self, node: Any, comments: Any) -> Any: if comments is None: assert hasattr(node, 'comment') return node if getattr(node, 'comment', None) is not None: for idx, val in enumerate(comments): if idx >= len(node.comment): continue nc = node.comment[idx] if nc is not None: assert val is None or val == nc comments[idx] = nc node.comment = comments return node def represent_key(self, data: Any) -> Any: if isinstance(data, CommentedKeySeq): self.alias_key = None return self.represent_sequence( 'tag:yaml.org,2002:seq', data, flow_style=True ) if isinstance(data, CommentedKeyMap): self.alias_key = None return self.represent_mapping( 'tag:yaml.org,2002:map', data, flow_style=True ) return SafeRepresenter.represent_key(self, data) def represent_mapping( self, tag: Any, mapping: Any, flow_style: Any = None ) -> MappingNode: value: List[Any] = [] try: flow_style = mapping.fa.flow_style(flow_style) except AttributeError: flow_style = flow_style try: anchor = mapping.yaml_anchor() except AttributeError: anchor = None if isinstance(tag, str): tag = Tag(suffix=tag) node = MappingNode(tag, value, flow_style=flow_style, anchor=anchor) if self.alias_key is not None: self.represented_objects[self.alias_key] = node best_style = True # no sorting! !! try: comment = getattr(mapping, comment_attrib) if node.comment is None: node.comment = comment.comment else: # as we are potentially going to extend this, make a new list node.comment = comment.comment[:] if node.comment and node.comment[1]: for ct in node.comment[1]: ct.reset() item_comments = comment.items if self.dumper.comment_handling is None: # type: ignore for v in item_comments.values(): if v and v[1]: for ct in v[1]: ct.reset() try: node.comment.append(comment.end) except AttributeError: pass else: # NEWCMNT pass except AttributeError: item_comments = {} merge_value = getattr(mapping, merge_attrib, []) # merge_list = [m[1] for m in merge_value] # merge_list = [m for m in merge_value] try: # merge_pos = getattr(mapping, merge_attrib, [[0]])[0][0] # print('merge_pos', merge_pos, merge_value.merge_pos) merge_pos = merge_value.merge_pos # type: ignore except (AttributeError, IndexError): merge_pos = 0 item_count = 0 # if bool(merge_list): if len(merge_value) > 0: items = mapping.non_merged_items() else: items = mapping.items() for item_key, item_value in items: item_count += 1 node_key = self.represent_key(item_key) node_value = self.represent_data(item_value) item_comment = item_comments.get(item_key) if item_comment: # assert getattr(node_key, 'comment', None) is None # issue 351 did throw this because the comment from the list item was # moved to the dict node_key.comment = item_comment[:2] nvc = getattr(node_value, 'comment', None) if nvc is not None: # end comment already there nvc[0] = item_comment[2] nvc[1] = item_comment[3] else: node_value.comment = item_comment[2:] 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 ( (item_count != 0) or (len(merge_value) > 0) ) and self.default_flow_style is not None: # NOQA node.flow_style = self.default_flow_style else: node.flow_style = best_style if len(merge_value) > 0: # because of the call to represent_data here, the anchors # are marked as being used and thereby created # if len(merge_list) == 1: if merge_value.sequence is None: # type: ignore arg = self.represent_data(merge_value[0]) else: # arg = self.represent_data(merge_list) # arg.flow_style = True arg = self.represent_data(merge_value.sequence) # type: ignore value.insert( merge_pos, (ScalarNode(Tag(suffix='tag:yaml.org,2002:merge'), '<<'), arg), ) return node def represent_omap( self, tag: Any, omap: Any, flow_style: Any = None ) -> SequenceNode: value: List[Any] = [] try: flow_style = omap.fa.flow_style(flow_style) except AttributeError: flow_style = flow_style try: anchor = omap.yaml_anchor() except AttributeError: anchor = None if isinstance(tag, str): tag = Tag(suffix=tag) node = SequenceNode(tag, value, flow_style=flow_style, anchor=anchor) if self.alias_key is not None: self.represented_objects[self.alias_key] = node best_style = True try: comment = getattr(omap, comment_attrib) if node.comment is None: node.comment = comment.comment else: # as we are potentially going to extend this, make a new list node.comment = comment.comment[:] if node.comment and node.comment[1]: for ct in node.comment[1]: ct.reset() item_comments = comment.items for v in item_comments.values(): if v and v[1]: for ct in v[1]: ct.reset() try: node.comment.append(comment.end) except AttributeError: pass except AttributeError: item_comments = {} for item_key in omap: item_val = omap[item_key] node_item = self.represent_data({item_key: item_val}) # node_item.flow_style = False # node item has two scalars in value: node_key and node_value item_comment = item_comments.get(item_key) if item_comment: if item_comment[1]: node_item.comment = [None, item_comment[1]] assert getattr(node_item.value[0][0], 'comment', None) is None node_item.value[0][0].comment = [item_comment[0], None] nvc = getattr(node_item.value[0][1], 'comment', None) if nvc is not None: # end comment already there nvc[0] = item_comment[2] nvc[1] = item_comment[3] else: node_item.value[0][1].comment = item_comment[2:] # 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_set(self, setting: Any) -> MappingNode: flow_style = False tag = Tag(suffix='tag:yaml.org,2002:set') # return self.represent_mapping(tag, value) value: List[Any] = [] flow_style = setting.fa.flow_style(flow_style) try: anchor = setting.yaml_anchor() except AttributeError: anchor = None node = MappingNode(tag, value, flow_style=flow_style, anchor=anchor) if self.alias_key is not None: self.represented_objects[self.alias_key] = node best_style = True # no sorting! !! try: comment = getattr(setting, comment_attrib) if node.comment is None: node.comment = comment.comment else: # as we are potentially going to extend this, make a new list node.comment = comment.comment[:] if node.comment and node.comment[1]: for ct in node.comment[1]: ct.reset() item_comments = comment.items for v in item_comments.values(): if v and v[1]: for ct in v[1]: ct.reset() try: node.comment.append(comment.end) except AttributeError: pass except AttributeError: item_comments = {} for item_key in setting.odict: node_key = self.represent_key(item_key) node_value = self.represent_data(None) item_comment = item_comments.get(item_key) if item_comment: assert getattr(node_key, 'comment', None) is None node_key.comment = item_comment[:2] node_key.style = '?' node_value.style = '-' if flow_style else '?' 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)) best_style = best_style return node def represent_dict(self, data: Any) -> MappingNode: """write out tag if saved on loading""" try: _ = data.tag except AttributeError: tag = Tag(suffix='tag:yaml.org,2002:map') else: if data.tag.trval: if data.tag.startswith('!!'): tag = Tag(suffix='tag:yaml.org,2002:' + data.tag.trval[2:]) else: tag = data.tag else: tag = Tag(suffix='tag:yaml.org,2002:map') return self.represent_mapping(tag, data) def represent_list(self, data: Any) -> SequenceNode: try: _ = data.tag except AttributeError: tag = Tag(suffix='tag:yaml.org,2002:seq') else: if data.tag.trval: if data.tag.startswith('!!'): tag = Tag(suffix='tag:yaml.org,2002:' + data.tag.trval[2:]) else: tag = data.tag else: tag = Tag(suffix='tag:yaml.org,2002:seq') return self.represent_sequence(tag, data) def represent_datetime(self, data: Any) -> ScalarNode: inter = 'T' if data._yaml['t'] else ' ' _yaml = data._yaml if False and _yaml['delta']: data += _yaml['delta'] value = data.isoformat(inter) else: value = data.isoformat(inter).strip() if False and _yaml['tz']: value += _yaml['tz'] if data.tzinfo and str(data.tzinfo): if value[-6] in '+-': value = value[:-6] + str(data.tzinfo) return self.represent_scalar('tag:yaml.org,2002:timestamp', value) def represent_tagged_scalar(self, data: Any) -> ScalarNode: try: if data.tag.handle == '!!': tag = f'{data.tag.handle} {data.tag.suffix}' else: tag = data.tag except AttributeError: tag = None try: anchor = data.yaml_anchor() except AttributeError: anchor = None return self.represent_scalar(tag, data.value, style=data.style, anchor=anchor) def represent_scalar_bool(self, data: Any) -> ScalarNode: try: anchor = data.yaml_anchor() except AttributeError: anchor = None return SafeRepresenter.represent_bool(self, data, anchor=anchor) def represent_yaml_object( self, tag: Any, data: Any, cls: Any, flow_style: Optional[Any] = None, ) -> MappingNode: if hasattr(data, '__getstate__'): state = data.__getstate__() else: state = data.__dict__.copy() anchor = state.pop(Anchor.attrib, None) res = self.represent_mapping(tag, state, flow_style=flow_style) if anchor is not None: res.anchor = anchor return res RoundTripRepresenter.add_representer(type(None), RoundTripRepresenter.represent_none) RoundTripRepresenter.add_representer( LiteralScalarString, RoundTripRepresenter.represent_literal_scalarstring, ) RoundTripRepresenter.add_representer( FoldedScalarString, RoundTripRepresenter.represent_folded_scalarstring, ) RoundTripRepresenter.add_representer( SingleQuotedScalarString, RoundTripRepresenter.represent_single_quoted_scalarstring, ) RoundTripRepresenter.add_representer( DoubleQuotedScalarString, RoundTripRepresenter.represent_double_quoted_scalarstring, ) RoundTripRepresenter.add_representer( PlainScalarString, RoundTripRepresenter.represent_plain_scalarstring, ) # RoundTripRepresenter.add_representer(tuple, Representer.represent_tuple) RoundTripRepresenter.add_representer( ScalarInt, RoundTripRepresenter.represent_scalar_int ) RoundTripRepresenter.add_representer( BinaryInt, RoundTripRepresenter.represent_binary_int ) RoundTripRepresenter.add_representer(OctalInt, RoundTripRepresenter.represent_octal_int) RoundTripRepresenter.add_representer(HexInt, RoundTripRepresenter.represent_hex_int) RoundTripRepresenter.add_representer( HexCapsInt, RoundTripRepresenter.represent_hex_caps_int ) RoundTripRepresenter.add_representer( ScalarFloat, RoundTripRepresenter.represent_scalar_float ) RoundTripRepresenter.add_representer( ScalarBoolean, RoundTripRepresenter.represent_scalar_bool ) RoundTripRepresenter.add_representer(CommentedSeq, RoundTripRepresenter.represent_list) RoundTripRepresenter.add_representer(CommentedMap, RoundTripRepresenter.represent_dict) RoundTripRepresenter.add_representer( CommentedOrderedMap, RoundTripRepresenter.represent_ordereddict, ) RoundTripRepresenter.add_representer( collections.OrderedDict, RoundTripRepresenter.represent_ordereddict, ) RoundTripRepresenter.add_representer(CommentedSet, RoundTripRepresenter.represent_set) RoundTripRepresenter.add_representer( TaggedScalar, RoundTripRepresenter.represent_tagged_scalar, ) RoundTripRepresenter.add_representer(TimeStamp, RoundTripRepresenter.represent_datetime)