# Copyright 2009-present MongoDB, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tools for creating and manipulating SON, the Serialized Ocument Notation. Regular dictionaries can be used instead of SON objects, but not when the order of keys is important. A SON object can be used just like a normal Python dictionary. """ from __future__ import annotations import copy import re from collections.abc import Mapping as _Mapping from typing import ( Any, Dict, Iterable, Iterator, Mapping, Optional, Pattern, Tuple, Type, TypeVar, Union, cast, ) # This sort of sucks, but seems to be as good as it gets... # This is essentially the same as re._pattern_type RE_TYPE: Type[Pattern[Any]] = type(re.compile("")) _Key = TypeVar("_Key") _Value = TypeVar("_Value") _T = TypeVar("_T") class SON(Dict[_Key, _Value]): """SON data. A subclass of dict that maintains ordering of keys and provides a few extra niceties for dealing with SON. SON provides an API similar to collections.OrderedDict. """ __keys: list[Any] def __init__( self, data: Optional[Union[Mapping[_Key, _Value], Iterable[Tuple[_Key, _Value]]]] = None, **kwargs: Any, ) -> None: self.__keys = [] dict.__init__(self) self.update(data) self.update(kwargs) def __new__(cls: Type[SON[_Key, _Value]], *args: Any, **kwargs: Any) -> SON[_Key, _Value]: instance = super().__new__(cls, *args, **kwargs) # type: ignore[type-var] instance.__keys = [] return instance def __repr__(self) -> str: result = [] for key in self.__keys: result.append(f"({key!r}, {self[key]!r})") return "SON([%s])" % ", ".join(result) def __setitem__(self, key: _Key, value: _Value) -> None: if key not in self.__keys: self.__keys.append(key) dict.__setitem__(self, key, value) def __delitem__(self, key: _Key) -> None: self.__keys.remove(key) dict.__delitem__(self, key) def copy(self) -> SON[_Key, _Value]: other: SON[_Key, _Value] = SON() other.update(self) return other # TODO this is all from UserDict.DictMixin. it could probably be made more # efficient. # second level definitions support higher levels def __iter__(self) -> Iterator[_Key]: yield from self.__keys def has_key(self, key: _Key) -> bool: return key in self.__keys def iterkeys(self) -> Iterator[_Key]: return self.__iter__() # fourth level uses definitions from lower levels def itervalues(self) -> Iterator[_Value]: for _, v in self.items(): yield v def values(self) -> list[_Value]: # type: ignore[override] return [v for _, v in self.items()] def clear(self) -> None: self.__keys = [] super().clear() def setdefault(self, key: _Key, default: _Value) -> _Value: try: return self[key] except KeyError: self[key] = default return default def pop(self, key: _Key, *args: Union[_Value, _T]) -> Union[_Value, _T]: if len(args) > 1: raise TypeError("pop expected at most 2 arguments, got " + repr(1 + len(args))) try: value = self[key] except KeyError: if args: return args[0] raise del self[key] return value def popitem(self) -> Tuple[_Key, _Value]: try: k, v = next(iter(self.items())) except StopIteration: raise KeyError("container is empty") from None del self[k] return (k, v) def update(self, other: Optional[Any] = None, **kwargs: _Value) -> None: # type: ignore[override] # Make progressively weaker assumptions about "other" if other is None: pass elif hasattr(other, "items"): for k, v in other.items(): self[k] = v elif hasattr(other, "keys"): for k in other: self[k] = other[k] else: for k, v in other: self[k] = v if kwargs: self.update(kwargs) def get( # type: ignore[override] self, key: _Key, default: Optional[Union[_Value, _T]] = None ) -> Union[_Value, _T, None]: try: return self[key] except KeyError: return default def __eq__(self, other: Any) -> bool: """Comparison to another SON is order-sensitive while comparison to a regular dictionary is order-insensitive. """ if isinstance(other, SON): return len(self) == len(other) and list(self.items()) == list(other.items()) return cast(bool, self.to_dict() == other) def __ne__(self, other: Any) -> bool: return not self == other def __len__(self) -> int: return len(self.__keys) def to_dict(self) -> dict[_Key, _Value]: """Convert a SON document to a normal Python dictionary instance. This is trickier than just *dict(...)* because it needs to be recursive. """ def transform_value(value: Any) -> Any: if isinstance(value, list): return [transform_value(v) for v in value] elif isinstance(value, _Mapping): return {k: transform_value(v) for k, v in value.items()} else: return value return cast("dict[_Key, _Value]", transform_value(dict(self))) def __deepcopy__(self, memo: dict[int, SON[_Key, _Value]]) -> SON[_Key, _Value]: out: SON[_Key, _Value] = SON() val_id = id(self) if val_id in memo: return memo[val_id] memo[val_id] = out for k, v in self.items(): if not isinstance(v, RE_TYPE): v = copy.deepcopy(v, memo) # noqa: PLW2901 out[k] = v return out