miniconda3/lib/python3.13/site-packages/conda/auxlib/entity.py

"""
This module provides serializable, validatable, type-enforcing domain objects and data
transfer objects. It has many of the same motivations as the python
`Marshmallow <http://marshmallow.readthedocs.org/en/latest/why.html>`_ package. It is most
similar to `Schematics <http://schematics.readthedocs.io/>`_.

========
Tutorial
========

Chapter 1: Entity and Field Basics
----------------------------------

    >>> class Color(Enum):
    ...     blue = 0
    ...     black = 1
    ...     red = 2
    >>> class Car(Entity):
    ...     weight = NumberField(required=False)
    ...     wheels = IntField(default=4, validation=lambda x: 3 <= x <= 4)
    ...     color = EnumField(Color)

    >>> # create a new car object
    >>> car = Car(color=Color.blue, weight=4242.46)
    >>> car
    Car(weight=4242.46, color=0)

    >>> # it has 4 wheels, all by default
    >>> car.wheels
    4

    >>> # but a car can't have 5 wheels!
    >>> #  the `validation=` field is a simple callable that returns a
    >>> #  boolean based on validity
    >>> car.wheels = 5
    Traceback (most recent call last):
    ValidationError: Invalid value 5 for wheels

    >>> # we can call .dump() on car, and just get back a standard
    >>> #  python dict actually, it's an ordereddict to match attribute
    >>> #  declaration order
    >>> type(car.dump())
    <class '...OrderedDict'>
    >>> car.dump()
    OrderedDict([('weight', 4242.46), ('wheels', 4), ('color', 0)])

    >>> # and json too (note the order!)
    >>> car.json()
    '{"weight": 4242.46, "wheels": 4, "color": 0}'

    >>> # green cars aren't allowed
    >>> car.color = "green"
    Traceback (most recent call last):
    ValidationError: 'green' is not a valid Color

    >>> # but black cars are!
    >>> car.color = "black"
    >>> car.color
    <Color.black: 1>

    >>> # car.color really is an enum, promise
    >>> type(car.color)
    <enum 'Color'>

    >>> # enum assignment can be with any of (and preferentially)
    >>> #   (1) an enum literal,
    >>> #   (2) a valid enum value, or
    >>> #   (3) a valid enum name
    >>> car.color = Color.blue; car.color.value
    0
    >>> car.color = 1; car.color.name
    'black'

    >>> # let's do a round-trip marshalling of this thing
    >>> same_car = Car.from_json(car.json())  # or equally Car.from_json(json.dumps(car.dump()))
    >>> same_car == car
    True

    >>> # actually, they're two different instances
    >>> same_car is not car
    True

    >>> # this works too
    >>> cloned_car = Car(**car.dump())
    >>> cloned_car == car
    True

    >>> # while we're at it, these are all equivalent too
    >>> car == Car.from_objects(car)
    True
    >>> car == Car.from_objects({"weight": 4242.46, "wheels": 4, "color": 1})
    True
    >>> car == Car.from_json('{"weight": 4242.46, "color": 1}')
    True

    >>> # .from_objects() even lets you stack and combine objects
    >>> class DumbClass:
    ...     color = 0
    ...     wheels = 3
    >>> Car.from_objects(DumbClass(), dict(weight=2222, color=1))
    Car(weight=2222, wheels=3, color=0)
    >>> # and also pass kwargs that override properties pulled
    >>> #  off any objects
    >>> Car.from_objects(DumbClass(), {'weight': 2222, 'color': 1}, color=2, weight=33)
    Car(weight=33, wheels=3, color=2)


Chapter 2: Entity and Field Composition
---------------------------------------

    >>> # now let's get fancy
    >>> # a ComposableField "nests" another valid Entity
    >>> # a ListField's first argument is a "generic" type,
    >>> #   which can be a valid Entity, any python primitive
    >>> #   type, or a list of Entities/types
    >>> class Fleet(Entity):
    ...     boss_car = ComposableField(Car)
    ...     cars = ListField(Car)

    >>> # here's our fleet of company cars
    >>> company_fleet = Fleet(boss_car=Car(color='red'), cars=[car, same_car, cloned_car])
    >>> company_fleet.pretty_json()  #doctest: +SKIP
    {
      "boss_car": {
        "wheels": 4
        "color": 2,
      },
      "cars": [
        {
          "weight": 4242.46,
          "wheels": 4
          "color": 1,
        },
        {
          "weight": 4242.46,
          "wheels": 4
          "color": 1,
        },
        {
          "weight": 4242.46,
          "wheels": 4
          "color": 1,
        }
      ]
    }

    >>> # the boss' car is red of course (and it's still an Enum)
    >>> company_fleet.boss_car.color.name
    'red'

    >>> # and there are three cars left for the employees
    >>> len(company_fleet.cars)
    3


Chapter 3: Immutability
-----------------------

    >>> class ImmutableCar(ImmutableEntity):
    ...     wheels = IntField(default=4, validation=lambda x: 3 <= x <= 4)
    ...     color = EnumField(Color)
    >>> icar = ImmutableCar.from_objects({'wheels': 3, 'color': 'blue'})
    >>> icar
    ImmutableCar(wheels=3, color=0)

    >>> icar.wheels = 4
    Traceback (most recent call last):
    AttributeError: Assignment not allowed. ImmutableCar is immutable.

    >>> class FixedWheelCar(Entity):
    ...     wheels = IntField(default=4, immutable=True)
    ...     color = EnumField(Color)
    >>> fwcar = FixedWheelCar.from_objects(icar)
    >>> fwcar.json()
    '{"wheels": 3, "color": 0}'

    >>> # repainting the car is easy
    >>> fwcar.color = Color.red
    >>> fwcar.color.name
    'red'

    >>> # can't really change the number of wheels though
    >>> fwcar.wheels = 18
    Traceback (most recent call last):
    AttributeError: The wheels field is immutable.


Chapter X: The del and null Weeds
---------------------------------

    >>> old_date = lambda: isoparse('1982-02-17')
    >>> class CarBattery(Entity):
    ...     # NOTE: default value can be a callable!
    ...     first_charge = DateField(required=False)  # default=None, nullable=False
    ...     latest_charge = DateField(default=old_date, nullable=True)  # required=True
    ...     expiration = DateField(default=old_date, required=False, nullable=False)

    >>> # starting point
    >>> battery = CarBattery()
    >>> battery
    CarBattery()
    >>> battery.json()
    '{"latest_charge": "1982-02-17T00:00:00", "expiration": "1982-02-17T00:00:00"}'

    >>> # first_charge is not assigned a default value. Once one is assigned, it can be deleted,
    >>> #   but it can't be made null.
    >>> battery.first_charge = isoparse('2016-03-23')
    >>> battery
    CarBattery(first_charge=datetime.datetime(2016, 3, 23, 0, 0))
    >>> battery.first_charge = None
    Traceback (most recent call last):
    ValidationError: Value for first_charge not given or invalid.
    >>> del battery.first_charge
    >>> battery
    CarBattery()

    >>> # latest_charge can be null, but it can't be deleted. The default value is a callable.
    >>> del battery.latest_charge
    Traceback (most recent call last):
    AttributeError: The latest_charge field is required and cannot be deleted.
    >>> battery.latest_charge = None
    >>> battery.json()
    '{"latest_charge": null, "expiration": "1982-02-17T00:00:00"}'

    >>> # expiration is assigned by default, can't be made null, but can be deleted.
    >>> battery.expiration
    datetime.datetime(1982, 2, 17, 0, 0)
    >>> battery.expiration = None
    Traceback (most recent call last):
    ValidationError: Value for expiration not given or invalid.
    >>> del battery.expiration
    >>> battery.json()
    '{"latest_charge": null}'


"""

from collections.abc import Mapping, Sequence
from datetime import datetime
from enum import Enum
from functools import reduce
from logging import getLogger
from pathlib import Path

from boltons.timeutils import isoparse
from frozendict import deepfreeze, frozendict
from frozendict import getFreezeConversionMap as _getFreezeConversionMap
from frozendict import register as _register

from . import NULL
from .compat import odict
from ..common.compat import isiterable
from .collection import AttrDict
from .exceptions import Raise, ValidationError
from .ish import find_or_raise
from .type_coercion import maybecall
from ..common.serialize import json
from ..deprecations import deprecated

if Enum not in _getFreezeConversionMap():
    # leave enums as is, deepfreeze will flatten it into a dict
    # see https://github.com/Marco-Sulla/python-frozendict/issues/98
    _register(Enum, lambda x : x)

del _getFreezeConversionMap
del _register

log = getLogger(__name__)

__all__ = [
    "Entity", "ImmutableEntity", "Field",
    "BooleanField", "BoolField", "IntegerField", "IntField",
    "NumberField", "StringField", "DateField",
    "EnumField", "ListField", "MapField", "ComposableField",
]

KEY_OVERRIDES_MAP = "__key_overrides__"


NOTES = """

Current deficiencies to schematics:
  - no get_mock_object method
  - no context-dependent serialization or MultilingualStringType
  - name = StringType(serialized_name='person_name', alternate_names=['human_name'])
  - name = StringType(serialize_when_none=False)
  - more flexible validation error messages
  - field validation can depend on other fields
  - 'roles' containing denylists for .dump() and .json()
    __roles__ = {
        EntityRole.registered_name: Denylist('field1', 'field2'),
        EntityRole.another_registered_name: Allowlist('field3', 'field4'),
    }


TODO:
  - alternate field names
  - add dump_if_null field option
  - add help/description parameter to Field
  - consider leveraging slots
  - collect all validation errors before raising
  - Allow returning string error message for validation instead of False
  - profile and optimize
  - use boltons instead of dateutil
  - correctly implement copy and deepcopy on fields and Entity, DictSafeMixin
    http://stackoverflow.com/questions/1500718/what-is-the-right-way-to-override-the-copy-deepcopy-operations-on-an-object-in-p


Optional Field Properties:
  - validation = None
  - default = None
  - required = True
  - in_dump = True
  - nullable = False

Behaviors:
  - Nullable is a "hard" setting, in that the value is either always or never allowed to be None.
  - What happens then if required=False and nullable=False?
      - The object can be init'd without a value (though not with a None value).
        getattr throws AttributeError
      - Any assignment must be not None.


  - Setting a value to None doesn't "unset" a value.  (That's what del is for.)  And you can't
    del a value if required=True, nullable=False, default=None.

  - If a field is not required, del does *not* "unmask" the default value.  Instead, del
    removes the value from the object entirely.  To get back the default value, need to recreate
    the object.  Entity.from_objects(old_object)


  - Disabling in_dump is a "hard" setting, in that with it disabled the field will never get
    dumped.  With it enabled, the field may or may not be dumped depending on its value and other
    settings.

  - Required is a "hard" setting, in that if True, a valid value or default must be provided. None
    is only a valid value or default if nullable is True.

  - In general, nullable means that None is a valid value.
    - getattr returns None instead of raising Attribute error
    - If in_dump, field is given with null value.
    - If default is not None, assigning None clears a previous assignment. Future getattrs return
      the default value.
    - What does nullable mean with default=None and required=True? Does instantiation raise
      an error if assignment not made on init? Can IntField(nullable=True) be init'd?

  - If required=False and nullable=False, field will only be in dump if field!=None.
    Also, getattr raises AttributeError.
  - If required=False and nullable=True, field will be in dump if field==None.

  - If in_dump is True, does default value get dumped:
    - if no assignment, default exists
    - if nullable, and assigned None
  - How does optional validation work with nullable and assigning None?
  - When does gettattr throw AttributeError, and when does it return None?



"""


class Field:
    """
    Fields are doing something very similar to boxing and unboxing
    of c#/java primitives.  __set__ should take a "primitive" or "raw" value and create a "boxed"
    or "programmatically usable" value of it.  While __get__ should return the boxed value,
    dump in turn should unbox the value into a primitive or raw value.

    Arguments:
        types_ (primitive literal or type or sequence of types):
        default (any, callable, optional):  If default is callable, it's guaranteed to return a
            valid value at the time of Entity creation.
        required (boolean, optional):
        validation (callable, optional):
        dump (boolean, optional):
    """

    # Used to track order of field declarations. Supporting python 2.7, so can't rely
    #   on __prepare__.  Strategy lifted from http://stackoverflow.com/a/4460034/2127762
    _order_helper = 0

    def __init__(self, default=NULL, required=True, validation=None,
                 in_dump=True, default_in_dump=True, nullable=False, immutable=False, aliases=()):
        self._required = required
        self._validation = validation
        self._in_dump = in_dump
        self._default_in_dump = default_in_dump
        self._nullable = nullable
        self._immutable = immutable
        self._aliases = aliases
        if default is NULL:
            self._default = NULL
        else:
            self._default = default if callable(default) else self.box(None, None, default)
            self.validate(None, self.box(None, None, maybecall(default)))

        self._order_helper = Field._order_helper
        Field._order_helper += 1

    @property
    def name(self):
        try:
            return self._name
        except AttributeError:
            log.error("The name attribute has not been set for this field. "
                      "Call set_name at class creation time.")
            raise

    def set_name(self, name):
        self._name = name
        return self

    def __get__(self, instance, instance_type):
        try:
            if instance is None:  # if calling from the class object
                val = getattr(instance_type, KEY_OVERRIDES_MAP)[self.name]
            else:
                val = instance.__dict__[self.name]
        except AttributeError:
            log.error("The name attribute has not been set for this field.")
            raise AttributeError("The name attribute has not been set for this field.")
        except KeyError:
            if self.default is NULL:
                raise AttributeError(f"A value for {self.name} has not been set")
            else:
                val = maybecall(self.default)  # default *can* be a callable
        if val is None and not self.nullable:
            # means the "tricky edge case" was activated in __delete__
            raise AttributeError(f"The {self.name} field has been deleted.")
        return self.unbox(instance, instance_type, val)

    def __set__(self, instance, val):
        if self.immutable and instance._initd:
            raise AttributeError(f"The {self.name} field is immutable.")
        # validate will raise an exception if invalid
        # validate will return False if the value should be removed
        instance.__dict__[self.name] = self.validate(
            instance,
            self.box(instance, instance.__class__, val),
        )

    def __delete__(self, instance):
        if self.immutable and instance._initd:
            raise AttributeError(f"The {self.name} field is immutable.")
        elif self.required:
            raise AttributeError(f"The {self.name} field is required and cannot be deleted.")
        elif not self.nullable:
            # tricky edge case
            # given a field Field(default='some value', required=False, nullable=False)
            # works together with Entity.dump() logic for selecting fields to include in dump
            # `if value is not None or field.nullable`
            instance.__dict__[self.name] = None
        else:
            instance.__dict__.pop(self.name, None)

    def box(self, instance, instance_type, val):
        return val

    def unbox(self, instance, instance_type, val):
        return val

    def dump(self, instance, instance_type, val):
        return val

    def validate(self, instance, val):
        """

        Returns:
            True: if val is valid

        Raises:
            ValidationError
        """
        # note here calling, but not assigning; could lead to unexpected behavior
        if isinstance(val, self._type) and (self._validation is None or self._validation(val)):
            return val
        elif val is NULL and not self.required:
            return val
        elif val is None and self.nullable:
            return val
        else:
            raise ValidationError(getattr(self, 'name', 'undefined name'), val)

    @property
    def required(self):
        return self._required

    @property
    def type(self):
        return self._type

    @property
    def default(self):
        return self._default

    @property
    def in_dump(self):
        return self._in_dump

    @property
    def default_in_dump(self):
        return self._default_in_dump

    @property
    def nullable(self):
        return self.is_nullable

    @property
    def is_nullable(self):
        return self._nullable

    @property
    def immutable(self):
        return self._immutable


class BooleanField(Field):
    _type = bool

    def box(self, instance, instance_type, val):
        return None if val is None else bool(val)


BoolField = BooleanField


class IntegerField(Field):
    _type = int


IntField = IntegerField


class NumberField(Field):
    _type = (int, float, complex)


class StringField(Field):
    _type = str

    def box(self, instance, instance_type, val):
        return str(val) if isinstance(val, NumberField._type) else val


class DateField(Field):
    _type = datetime

    def box(self, instance, instance_type, val):
        try:
            return isoparse(val) if isinstance(val, str) else val
        except ValueError as e:
            raise ValidationError(val, msg=e)

    def dump(self, instance, instance_type, val):
        return None if val is None else val.isoformat()


class EnumField(Field):

    def __init__(self, enum_class, default=NULL, required=True, validation=None,
                 in_dump=True, default_in_dump=True, nullable=False, immutable=False, aliases=()):
        if not issubclass(enum_class, Enum):
            raise ValidationError(None, msg="enum_class must be an instance of Enum")
        self._type = enum_class
        super().__init__(
            default, required, validation, in_dump, default_in_dump, nullable, immutable, aliases
        )

    def box(self, instance, instance_type, val):
        if val is None:
            # let the required/nullable logic handle validation for this case
            return None
        try:
            # try to box using val as an Enum name
            return self._type(val)
        except ValueError as e1:
            try:
                # try to box using val as an Enum value
                return self._type[val]
            except KeyError:
                raise ValidationError(val, msg=e1)

    def dump(self, instance, instance_type, val):
        return None if val in (None, NULL) else val.value


class ListField(Field):
    _type = tuple

    def __init__(self, element_type, default=NULL, required=True, validation=None,
                 in_dump=True, default_in_dump=True, nullable=False, immutable=False, aliases=()):
        self._element_type = element_type
        super().__init__(
            default, required, validation, in_dump, default_in_dump, nullable, immutable, aliases
        )

    def box(self, instance, instance_type, val):
        if val is None:
            return None
        elif isinstance(val, str):
            raise ValidationError(
                f"Attempted to assign a string to ListField {self.name}"
            )
        elif isiterable(val):
            et = self._element_type
            if isinstance(et, type) and issubclass(et, Entity):
                return self._type(v if isinstance(v, et) else et(**v) for v in val)
            else:
                return deepfreeze(val) if self.immutable else self._type(val)
        else:
            raise ValidationError(
                val, msg=f"Cannot assign a non-iterable value to {self.name}"
            )

    def unbox(self, instance, instance_type, val):
        return self._type() if val is None and not self.nullable else val

    def dump(self, instance, instance_type, val):
        if isinstance(self._element_type, type) and issubclass(self._element_type, Entity):
            return self._type(v.dump() for v in val)
        else:
            return val

    def validate(self, instance, val):
        val = super().validate(instance, val)
        if val:
            et = self._element_type
            self._type(Raise(ValidationError(self.name, el, et)) for el in val
                       if not isinstance(el, et))
        return val


class MutableListField(ListField):
    _type = list


class MapField(Field):
    _type = frozendict

    def __init__(
        self,
        default=NULL,
        required=True,
        validation=None,
        in_dump=True,
        default_in_dump=True,
        nullable=False,
        immutable=True,
        aliases=(),
    ):
        super().__init__(
            default, required, validation, in_dump, default_in_dump, nullable, immutable, aliases
        )

    def box(self, instance, instance_type, val):
        # TODO: really need to make this recursive to make any lists or maps immutable
        if val is None:
            return self._type()
        elif isiterable(val):
            val = deepfreeze(val)
            if not isinstance(val, Mapping):
                raise ValidationError(
                    val, msg=f"Cannot assign a non-iterable value to {self.name}"
                )
            return val
        else:
            raise ValidationError(
                val, msg=f"Cannot assign a non-iterable value to {self.name}"
            )


class ComposableField(Field):

    def __init__(self, field_class, default=NULL, required=True, validation=None,
                 in_dump=True, default_in_dump=True, nullable=False, immutable=False, aliases=()):
        self._type = field_class
        super().__init__(
            default, required, validation, in_dump, default_in_dump, nullable, immutable, aliases
        )

    def box(self, instance, instance_type, val):
        if val is None:
            return None
        if isinstance(val, self._type):
            return val
        else:
            # assuming val is a dict now
            try:
                # if there is a key named 'self', have to rename it
                if hasattr(val, 'pop'):
                    val['slf'] = val.pop('self')
            except KeyError:
                pass  # no key of 'self', so no worries
            if isinstance(val, self._type):
                return val if isinstance(val, self._type) else self._type(**val)
            elif isinstance(val, Mapping):
                return self._type(**val)
            elif isinstance(val, Sequence) and not isinstance(val, str):
                return self._type(*val)
            else:
                return self._type(val)

    def dump(self, instance, instance_type, val):
        return None if val is None else val.dump()


class EntityType(type):

    @staticmethod
    def __get_entity_subclasses(bases):
        try:
            return [base for base in bases if issubclass(base, Entity) and base is not Entity]
        except NameError:
            # NameError: global name 'Entity' is not defined
            return ()

    def __new__(mcs, name, bases, dct):
        # if we're about to mask a field that's already been created with something that's
        #  not a field, then assign it to an alternate variable name
        non_field_keys = (
            key
            for key, value in dct.items()
            if not isinstance(value, Field) and not key.startswith("__")
        )
        entity_subclasses = EntityType.__get_entity_subclasses(bases)
        if entity_subclasses:
            keys_to_override = [key for key in non_field_keys
                                if any(isinstance(base.__dict__.get(key), Field)
                                       for base in entity_subclasses)]
            dct[KEY_OVERRIDES_MAP] = {key: dct.pop(key) for key in keys_to_override}
        else:
            dct[KEY_OVERRIDES_MAP] = {}

        return super().__new__(mcs, name, bases, dct)

    def __init__(cls, name, bases, attr):
        super().__init__(name, bases, attr)

        fields = odict()
        _field_sort_key = lambda x: x[1]._order_helper
        for clz in reversed(type.mro(cls)):
            clz_fields = (
                (name, field.set_name(name))
                for name, field in clz.__dict__.items()
                if isinstance(field, Field)
            )
            fields.update(sorted(clz_fields, key=_field_sort_key))

        cls.__fields__ = frozendict(fields)
        if hasattr(cls, '__register__'):
            cls.__register__()

    def __call__(cls, *args, **kwargs):
        instance = super().__call__(*args, **kwargs)
        setattr(instance, f"_{cls.__name__}__initd", True)
        return instance

    @property
    def fields(cls):
        return cls.__fields__.keys()


class Entity(metaclass=EntityType):
    __fields__ = odict()
    _lazy_validate = False

    def __init__(self, **kwargs):
        for key, field in self.__fields__.items():
            try:
                setattr(self, key, kwargs[key])
            except KeyError:
                alias = next((ls for ls in field._aliases if ls in kwargs), None)
                if alias is not None:
                    setattr(self, key, kwargs[alias])
                elif key in getattr(self, KEY_OVERRIDES_MAP):
                    # handle case of fields inherited from subclass but overrode on class object
                    setattr(self, key, getattr(self, KEY_OVERRIDES_MAP)[key])
                elif field.required and field.default is NULL:
                    raise ValidationError(
                        key,
                        msg="{} requires a {} field. Instantiated with "
                        "{}".format(self.__class__.__name__, key, kwargs),
                    )
            except ValidationError:
                if kwargs[key] is not None or field.required:
                    raise
        if not self._lazy_validate:
            self.validate()

    @classmethod
    def from_objects(cls, *objects, **override_fields):
        """Construct a new object of type ``cls`` from existing objects or dicts.

        Allows the creation of new objects of concrete :class:`Entity` subclasses by
        combining information from several sources. This can be any combination of
        objects and dictionaries passed in as positional arguments. When looking for
        the value of the fields of the :class:`Entity` subclass, the first object
        that provides an attribute (or, in the case of a dict an entry) that has the
        name of the field or one of its aliases will take precedence. Any keyword
        arguments passed in will override this and take precedence.

        Args:
            cls(:class:`Entity` subclass): The class to create, usually determined by call, e.g. ``PrefixRecord.from_objects(...)``.
            *objects(tuple(object or dict)): Any combination of objects and dicts in order of decending precedence.
            **override_fields(dict(str, object)): Any individual fields overriding possible contents from ``*objects``.
        """
        init_vars = {}
        search_maps = tuple(AttrDict(o) if isinstance(o, dict) else o
                            for o in ((override_fields,) + objects))
        for key, field in cls.__fields__.items():
            try:
                init_vars[key] = find_or_raise(key, search_maps, field._aliases)
            except AttributeError:
                pass

        return cls(**init_vars)

    @classmethod
    def from_json(cls, json_str):
        return cls(**json.loads(json_str))

    @classmethod
    def load(cls, data_dict):
        return cls(**data_dict)

    def validate(self):
        # TODO: here, validate should only have to determine if the required keys are set
        try:
            reduce(
                lambda _, name: getattr(self, name),
                (name for name, field in self.__fields__.items() if field.required),
            )
        except TypeError as e:
            if str(e) == "reduce() of empty sequence with no initial value":
                pass
        except AttributeError as e:
            raise ValidationError(None, msg=e)

    def __repr__(self):
        def _valid(key):
            # TODO: re-enable once aliases are implemented
            # if key.startswith('_'):
            #     return False
            if '__' in key:
                return False
            try:
                getattr(self, key)
                return True
            except AttributeError:
                return False

        def _val(key):
            val = getattr(self, key)
            return repr(val.value) if isinstance(val, Enum) else repr(val)

        def _sort_helper(key):
            field = self.__fields__.get(key)
            return field._order_helper if field is not None else -1

        kwarg_str = ", ".join(
            f"{key}={_val(key)}" for key in sorted(self.__dict__, key=_sort_helper) if _valid(key)
        )
        return f"{self.__class__.__name__}({kwarg_str})"

    @classmethod
    def __register__(cls):
        pass

    def json(self, indent=None, separators=None, **kwargs):
        return json.dumps(self, indent=indent, separators=separators, **kwargs)

    def pretty_json(self, indent=2, separators=(',', ': '), **kwargs):
        return json.dumps(self, indent=indent, separators=separators, **kwargs)

    def dump(self):
        return odict((field.name, field.dump(self, self.__class__, value))
                     for field, value in ((field, getattr(self, field.name, NULL))
                                          for field in self.__dump_fields())
                     if value is not NULL and not (value is field.default
                                                   and not field.default_in_dump))

    @classmethod
    def __dump_fields(cls):
        if "__dump_fields_cache" not in cls.__dict__:
            cls.__dump_fields_cache = tuple(
                field for field in cls.__fields__.values() if field.in_dump
            )
        return cls.__dump_fields_cache

    def __eq__(self, other):
        if self.__class__ != other.__class__:
            return False
        rando_default = 19274656290  # need an arbitrary but definite value if field does not exist
        return all(getattr(self, field, rando_default) == getattr(other, field, rando_default)
                   for field in self.__fields__)

    def __hash__(self):
        return sum(hash(getattr(self, field, None)) for field in self.__fields__)

    @property
    def _initd(self):
        return getattr(self, f"_{self.__class__.__name__}__initd", None)


class ImmutableEntity(Entity):

    def __setattr__(self, attribute, value):
        if self._initd:
            raise AttributeError(
                f"Assignment not allowed. {self.__class__.__name__} is immutable."
            )
        super().__setattr__(attribute, value)

    def __delattr__(self, item):
        if self._initd:
            raise AttributeError(f"Deletion not allowed. {self.__class__.__name__} is immutable.")
        super().__delattr__(item)


class DictSafeMixin:

    def __getitem__(self, item):
        return getattr(self, item)

    def __setitem__(self, key, value):
        setattr(self, key, value)

    def __delitem__(self, key):
        delattr(self, key)

    def get(self, item, default=None):
        return getattr(self, item, default)

    def __contains__(self, item):
        value = getattr(self, item, None)
        if value is None:
            return False
        field = self.__fields__[item]
        if isinstance(field, (MapField, ListField)):
            return len(value) > 0
        return True

    def __iter__(self):
        for key in self.__fields__:
            if key in self:
                yield key

    def items(self):
        for key in self.__fields__:
            if key in self:
                yield key, getattr(self, key)

    def copy(self):
        return self.__class__(**self.dump())

    def setdefault(self, key, default_value):
        if key not in self:
            setattr(self, key, default_value)

    def update(self, E=None, **F):
        # D.update([E, ]**F) -> None.  Update D from dict/iterable E and F.
        # If E present and has a .keys() method, does:     for k in E: D[k] = E[k]
        # If E present and lacks .keys() method, does:     for (k, v) in E: D[k] = v
        # In either case, this is followed by: for k in F: D[k] = F[k]
        if E is not None:
            try:
                for k, v in E.items():
                    self[k] = v
            except AttributeError:
                for k, v in E:
                    self[k] = v
        for k in F:
            self[k] = F[k]


deprecated.constant(
    "26.3",
    "26.9",
    "EntityEncoder",
    json.CondaJSONEncoder,
    addendum="Use `conda.common.serialize.json.CondaJSONEncoder` instead.",
)