kittycad.models.customer_balance.CustomerBalance

class kittycad.models.customer_balance.CustomerBalance(**data)[source][source]

Bases: BaseModel

A balance for a customer.

This holds information about the financial balance for the customer.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__init__(**data)[source]

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Methods

`__init__`(**data)	Create a new model by parsing and validating input data from keyword arguments.
`construct`([_fields_set])	rtype: `Self`
`copy`(*[, include, exclude, update, deep])	Returns a copy of the model.
`dict`(*[, include, exclude, by_alias, ...])	rtype: `Dict`[`str`, `Any`]
`from_orm`(obj)	rtype: `Self`
`json`(*[, include, exclude, by_alias, ...])	rtype: `str`
`model_construct`([_fields_set])	Creates a new instance of the `Model` class with validated data.
`model_copy`(*[, update, deep])	Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy
`model_dump`(*[, mode, include, exclude, ...])	Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump
`model_dump_json`(*[, indent, include, ...])	Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json
`model_json_schema`([by_alias, ref_template, ...])	Generates a JSON schema for a model class.
`model_parametrized_name`(params)	Compute the class name for parametrizations of generic classes.
`model_post_init`(_BaseModel__context)	Override this method to perform additional initialization after `__init__` and `model_construct`.
`model_rebuild`(*[, force, raise_errors, ...])	Try to rebuild the pydantic-core schema for the model.
`model_validate`(obj, *[, strict, ...])	Validate a pydantic model instance.
`model_validate_json`(json_data, *[, strict, ...])	Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing
`model_validate_strings`(obj, *[, strict, context])	Validate the given object with string data against the Pydantic model.
`parse_file`(path, *[, content_type, ...])	rtype: `Self`
`parse_obj`(obj)	rtype: `Self`
`parse_raw`(b, *[, content_type, encoding, ...])	rtype: `Self`
`schema`([by_alias, ref_template])	rtype: `Dict`[`str`, `Any`]
`schema_json`(*[, by_alias, ref_template])	rtype: `str`
`update_forward_refs`(**localns)	rtype: `None`
`validate`(value)	rtype: `Self`

Attributes

`model_computed_fields`	A dictionary of computed field names and their corresponding `ComputedFieldInfo` objects.
`model_config`	Configuration for the model, should be a dictionary conforming to [`ConfigDict`][pydantic.config.ConfigDict].
`model_extra`	Get extra fields set during validation.
`model_fields`	Metadata about the fields defined on the model, mapping of field names to [`FieldInfo`][pydantic.fields.FieldInfo].
`model_fields_set`	Returns the set of fields that have been explicitly set on this model instance.
`created_at`
`id`
`map_id`
`modeling_app_enterprise_price`
`monthly_credits_remaining`
`pre_pay_cash_remaining`
`pre_pay_credits_remaining`
`subscription_details`
`subscription_id`
`total_due`
`updated_at`

__abstractmethods__ = frozenset({})[source]

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'created_at': <class 'datetime.datetime'>, 'id': <class 'kittycad.models.uuid.Uuid'>, 'map_id': <class 'kittycad.models.uuid.Uuid'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'modeling_app_enterprise_price': typing.Optional[pydantic.root_model.RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]], 'monthly_credits_remaining': <class 'float'>, 'pre_pay_cash_remaining': <class 'float'>, 'pre_pay_credits_remaining': <class 'float'>, 'subscription_details': typing.Optional[kittycad.models.zoo_product_subscriptions.ZooProductSubscriptions], 'subscription_id': typing.Optional[str], 'total_due': <class 'float'>, 'updated_at': <class 'datetime.datetime'>}[source]

classmethod __class_getitem__(typevar_values)[source]

Return type:: type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}[source]

__copy__()[source]

Returns a shallow copy of the model.

Return type:: Self

__deepcopy__(memo=None)[source]

Returns a deep copy of the model.

Return type:: Self

__delattr__(item)[source]

Implement delattr(self, name).

Return type:: Any

__dict__[source]

__eq__(other)[source]

Return self==value.

Return type:: bool

property __fields_set__: set[str][source]

classmethod __get_pydantic_core_schema__(source, handler, /)[source]

Hook into generating the model’s CoreSchema.

Parameters:

source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.
handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]

Hook into generating the model’s JSON schema.

Parameters:

core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.
handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)[source]

Return type:: Any

__getstate__()[source]

Helper for pickle.

Return type:: dict[Any, Any]

__hash__ = None[source]

__init__(**data)[source]

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

__iter__()[source]

So dict(model) works.

Return type:: Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.customer_balance'[source]

__pretty__(fmt, **kwargs)[source]

Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.

Return type:: Generator[Any, None, None]

__private_attributes__: ClassVar[dict[str, ModelPrivateAttr]] = {}[source]

__pydantic_complete__: ClassVar[bool] = True[source]

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.subscription_tier_price.flat'>, 'config': {'title': 'flat'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.subscription_tier_price.flat'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.subscription_tier_price.flat'>>]}, 'ref': 'kittycad.models.subscription_tier_price.flat:93909455141344', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'interval': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.plan_interval.PlanInterval:93909455158288', 'type': 'definition-ref'}, 'type': 'model-field'}, 'price': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'flat', 'schema': {'expected': ['flat'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'flat', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <enum 'PlanInterval'>, 'members': [PlanInterval.DAY, PlanInterval.MONTH, PlanInterval.WEEK, PlanInterval.YEAR], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.plan_interval.PlanInterval:93909455158288', 'sub_type': 'str', 'type': 'enum'}, {'cls': <class 'kittycad.models.subscription_tier_price.per_user'>, 'config': {'title': 'per_user'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.subscription_tier_price.per_user'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.subscription_tier_price.per_user'>>]}, 'ref': 'kittycad.models.subscription_tier_price.per_user:93909455149504', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'interval': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.plan_interval.PlanInterval:93909455158288', 'type': 'definition-ref'}, 'type': 'model-field'}, 'price': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'per_user', 'schema': {'expected': ['per_user'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'per_user', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'kittycad.models.subscription_tier_price.enterprise'>, 'config': {'title': 'enterprise'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.subscription_tier_price.enterprise'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.subscription_tier_price.enterprise'>>]}, 'ref': 'kittycad.models.subscription_tier_price.enterprise:93909455163392', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'enterprise', 'schema': {'expected': ['enterprise'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'enterprise', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'pydantic.root_model.RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]"}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'pydantic.root_model.RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'pydantic.root_model.RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:93909453116928[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:139693207726528]", 'root_model': True, 'schema': {'choices': {'enterprise': {'schema_ref': 'kittycad.models.subscription_tier_price.enterprise:93909455163392', 'type': 'definition-ref'}, 'flat': {'schema_ref': 'kittycad.models.subscription_tier_price.flat:93909455141344', 'type': 'definition-ref'}, 'per_user': {'schema_ref': 'kittycad.models.subscription_tier_price.per_user:93909455149504', 'type': 'definition-ref'}}, 'discriminator': 'type', 'from_attributes': True, 'metadata': {}, 'strict': False, 'type': 'tagged-union'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.customer_balance.CustomerBalance'>, 'config': {'title': 'CustomerBalance'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.customer_balance.CustomerBalance'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.customer_balance.CustomerBalance'>>]}, 'ref': 'kittycad.models.customer_balance.CustomerBalance:93909455806800', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'created_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'map_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'modeling_app_enterprise_price': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'schema_ref': "pydantic.root_model.RootModel:93909453116928[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:139693207726528]", 'type': 'definition-ref'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'monthly_credits_remaining': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'pre_pay_cash_remaining': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'pre_pay_credits_remaining': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'subscription_details': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'cls': <class 'kittycad.models.zoo_product_subscriptions.ZooProductSubscriptions'>, 'config': {'title': 'ZooProductSubscriptions'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.zoo_product_subscriptions.ZooProductSubscriptions'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.zoo_product_subscriptions.ZooProductSubscriptions'>>]}, 'ref': 'kittycad.models.zoo_product_subscriptions.ZooProductSubscriptions:93909458405248', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'modeling_app': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.modeling_app_subscription_tier.ModelingAppSubscriptionTier'>, 'config': {'title': 'ModelingAppSubscriptionTier'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.modeling_app_subscription_tier.ModelingAppSubscriptionTier'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.modeling_app_subscription_tier.ModelingAppSubscriptionTier'>>]}, 'ref': 'kittycad.models.modeling_app_subscription_tier.ModelingAppSubscriptionTier:93909458307984', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'description': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'features': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'items_schema': {'cls': <class 'kittycad.models.subscription_tier_feature.SubscriptionTierFeature'>, 'config': {'title': 'SubscriptionTierFeature'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.subscription_tier_feature.SubscriptionTierFeature'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.subscription_tier_feature.SubscriptionTierFeature'>>]}, 'ref': 'kittycad.models.subscription_tier_feature.SubscriptionTierFeature:93909458263456', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'info': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}}, 'model_name': 'SubscriptionTierFeature', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'list'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'name': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'ModelingAppSubscriptionTierName'>, 'members': [ModelingAppSubscriptionTierName.FREE, ModelingAppSubscriptionTierName.PRO, ModelingAppSubscriptionTierName.TEAM, ModelingAppSubscriptionTierName.ENTERPRISE], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.modeling_app_subscription_tier_name.ModelingAppSubscriptionTierName:93909458259392', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'pay_as_you_go_credits': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'price': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': "pydantic.root_model.RootModel:93909453116928[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:139693207726528]", 'type': 'definition-ref'}, 'type': 'model-field'}, 'support_tier': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'SupportTier'>, 'members': [SupportTier.COMMUNITY, SupportTier.STANDARD, SupportTier.PREMIUM, SupportTier.PRIORITY], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.support_tier.SupportTier:93909458302048', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'training_data_behavior': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'SubscriptionTrainingDataBehavior'>, 'members': [SubscriptionTrainingDataBehavior.ALWAYS, SubscriptionTrainingDataBehavior.DEFAULT_ON, SubscriptionTrainingDataBehavior.DEFAULT_OFF], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.subscription_training_data_behavior.SubscriptionTrainingDataBehavior:93909458301056', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'pydantic.root_model.RootModel[Annotated[Union[individual, organization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[individual, organization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]"}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'pydantic.root_model.RootModel[Annotated[Union[individual, organization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'pydantic.root_model.RootModel[Annotated[Union[individual, organization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:93909453116928[Annotated[Union[individual, organization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:139693216269328]", 'root_model': True, 'schema': {'choices': {'individual': {'cls': <class 'kittycad.models.subscription_tier_type.individual'>, 'config': {'title': 'individual'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.subscription_tier_type.individual'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.subscription_tier_type.individual'>>]}, 'ref': 'kittycad.models.subscription_tier_type.individual:93909458276848', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'individual', 'schema': {'expected': ['individual'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'individual', 'type': 'model-fields'}, 'type': 'model'}, 'organization': {'cls': <class 'kittycad.models.subscription_tier_type.organization'>, 'config': {'title': 'organization'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.subscription_tier_type.organization'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.subscription_tier_type.organization'>>]}, 'ref': 'kittycad.models.subscription_tier_type.organization:93909458282160', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'saml_sso': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'bool'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'organization', 'schema': {'expected': ['organization'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'organization', 'type': 'model-fields'}, 'type': 'model'}}, 'discriminator': 'type', 'from_attributes': True, 'metadata': {}, 'strict': False, 'type': 'tagged-union'}, 'type': 'model'}, 'type': 'model-field'}, 'zoo_tools_included': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'items_schema': {'cls': <enum 'ZooTool'>, 'members': [ZooTool.MODELING_APP, ZooTool.TEXT_TO_CAD, ZooTool.DIFF_CHROME_EXTENSION], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.zoo_tool.ZooTool:93909458306208', 'sub_type': 'str', 'type': 'enum'}, 'type': 'list'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'ModelingAppSubscriptionTier', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}}, 'model_name': 'ZooProductSubscriptions', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'subscription_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'total_due': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'updated_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}}, 'model_name': 'CustomerBalance', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}[source]

__pydantic_custom_init__: ClassVar[bool] = False[source]

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})[source]

__pydantic_extra__: dict[str, Any] | None[source]

__pydantic_fields_set__: set[str][source]

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}[source]

classmethod __pydantic_init_subclass__(**kwargs)[source]

This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.

This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.

This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.

Parameters:: **kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.
Return type:: None

__pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Optional': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SubscriptionTierPrice': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ZooProductSubscriptions': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved. Copyright (c) 2000 BeOpen.com. All Rights Reserved. Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved. Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits': Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands for supporting Python development. See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/customer_balance.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/customer_balance.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.customer_balance', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'datetime': <pydantic._internal._model_construction._PydanticWeakRef object>}[source]

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None[source]

__pydantic_private__: dict[str, Any] | None[source]

__pydantic_root_model__: ClassVar[bool] = False[source]

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model( ModelSerializer { class: Py( 0x00005568ffc12150, ), serializer: Fields( GeneralFieldsSerializer { fields: { "modeling_app_enterprise_price": SerField { key_py: Py( 0x00007f0cdc0552f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f0cef347100, ), ), serializer: Nullable( NullableSerializer { serializer: Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), }, ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007f0cdc1e7c70, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007f0cef439688, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "monthly_credits_remaining": SerField { key_py: Py( 0x00007f0cdc055570, ), alias: None, alias_py: None, serializer: Some( Float( FloatSerializer { inf_nan_mode: Null, }, ), ), required: true, }, "pre_pay_cash_remaining": SerField { key_py: Py( 0x00007f0cdc053df0, ), alias: None, alias_py: None, serializer: Some( Float( FloatSerializer { inf_nan_mode: Null, }, ), ), required: true, }, "subscription_details": SerField { key_py: Py( 0x00007f0cdc053eb0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f0cef347100, ), ), serializer: Nullable( NullableSerializer { serializer: Model( ModelSerializer { class: Py( 0x00005568ffe8c780, ), serializer: Fields( GeneralFieldsSerializer { fields: { "modeling_app": SerField { key_py: Py( 0x00007f0cdc04d1b0, ), alias: None, alias_py: None, serializer: Some( Model( ModelSerializer { class: Py( 0x00005568ffe74b90, ), serializer: Fields( GeneralFieldsSerializer { fields: { "price": SerField { key_py: Py( 0x00007f0cdcb7f780, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "description": SerField { key_py: Py( 0x00007f0cee423fb0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "training_data_behavior": SerField { key_py: Py( 0x00007f0cdc03b3b0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x00005568ffe73080, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "support_tier": SerField { key_py: Py( 0x00007f0cdca07fb0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x00005568ffe73460, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "features": SerField { key_py: Py( 0x00007f0cdfedcff0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f0cef347100, ), ), serializer: Nullable( NullableSerializer { serializer: List( ListSerializer { item_serializer: Model( ModelSerializer { class: Py( 0x00005568ffe69da0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "info": SerField { key_py: Py( 0x00007f0cef419bc0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 1, }, ), has_extra: false, root_model: false, name: "SubscriptionTierFeature", }, ), filter: SchemaFilter { include: None, exclude: None, }, name: "list[SubscriptionTierFeature]", }, ), }, ), }, ), ), required: true, }, "pay_as_you_go_credits": SerField { key_py: Py( 0x00007f0cdc03b4b0, ), alias: None, alias_py: None, serializer: Some( Float( FloatSerializer { inf_nan_mode: Null, }, ), ), required: true, }, "zoo_tools_included": SerField { key_py: Py( 0x00007f0cdc039330, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f0cef347100, ), ), serializer: Nullable( NullableSerializer { serializer: List( ListSerializer { item_serializer: Enum( EnumSerializer { class: Py( 0x00005568ffe744a0, ), serializer: Some( Str( StrSerializer, ), ), }, ), filter: SchemaFilter { include: None, exclude: None, }, name: "list[enum]", }, ), }, ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f0cef43cbf8, ), alias: None, alias_py: None, serializer: Some( Model( ModelSerializer { class: Py( 0x00005568ffe6c990, ), serializer: Union( UnionSerializer { choices: [ Model( ModelSerializer { class: Py( 0x00005568ffe6d1f0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007f0cef43cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f0cdc04cc30, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "individual", }, expected_py: None, name: "literal['individual']", }, ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 1, }, ), has_extra: false, root_model: false, name: "individual", }, ), Model( ModelSerializer { class: Py( 0x00005568ffe6e6b0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007f0cef43cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f0cee0b9170, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "organization", }, expected_py: None, name: "literal['organization']", }, ), }, ), ), required: true, }, "saml_sso": SerField { key_py: Py( 0x00007f0cdc0397b0, ), alias: None, alias_py: None, serializer: Some( Bool( BoolSerializer, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 2, }, ), has_extra: false, root_model: false, name: "organization", }, ), ], name: "Union[individual, organization]", }, ), has_extra: false, root_model: true, name: "RootModel[Annotated[Union[individual, organization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), ), required: true, }, "name": SerField { key_py: Py( 0x00007f0cef43a950, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x00005568ffe68dc0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 9, }, ), has_extra: false, root_model: false, name: "ModelingAppSubscriptionTier", }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 1, }, ), has_extra: false, root_model: false, name: "ZooProductSubscriptions", }, ), }, ), }, ), ), required: true, }, "total_due": SerField { key_py: Py( 0x00007f0cdc053f30, ), alias: None, alias_py: None, serializer: Some( Float( FloatSerializer { inf_nan_mode: Null, }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007f0cdc0ffdb0, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "map_id": SerField { key_py: Py( 0x00007f0cdc062490, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "subscription_id": SerField { key_py: Py( 0x00007f0cdc053d30, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f0cef347100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "pre_pay_credits_remaining": SerField { key_py: Py( 0x00007f0cdc0554d0, ), alias: None, alias_py: None, serializer: Some( Float( FloatSerializer { inf_nan_mode: Null, }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 11, }, ), has_extra: false, root_model: false, name: "CustomerBalance", }, ), definitions=[Model(ModelSerializer { class: Py(0x5568ffb6f9e0), serializer: Fields(GeneralFieldsSerializer { fields: {"interval": SerField { key_py: Py(0x7f0cee547a30), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: false })), required: true }, "type": SerField { key_py: Py(0x7f0cef43cbf8), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f0ceda712c0)), serializer: Literal(LiteralSerializer { expected_int: {}, expected_str: {"flat"}, expected_py: None, name: "literal['flat']" }) })), required: true }, "price": SerField { key_py: Py(0x7f0cdcb7f780), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 3 }), has_extra: false, root_model: false, name: "flat" }), Model(ModelSerializer { class: Py(0x5568ffb719c0), serializer: Fields(GeneralFieldsSerializer { fields: {"type": SerField { key_py: Py(0x7f0cef43cbf8), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f0cdc053fb0)), serializer: Literal(LiteralSerializer { expected_int: {}, expected_str: {"per_user"}, expected_py: None, name: "literal['per_user']" }) })), required: true }, "interval": SerField { key_py: Py(0x7f0cee547a30), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: false })), required: true }, "price": SerField { key_py: Py(0x7f0cdcb7f780), alias: None, alias_py: None, serializer: Some(Float(FloatSerializer { inf_nan_mode: Null })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 3 }), has_extra: false, root_model: false, name: "per_user" }), Model(ModelSerializer { class: Py(0x5568ffb77350), serializer: Union(UnionSerializer { choices: [Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true }), Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true }), Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true })], name: "Union[definition-ref, definition-ref, definition-ref]" }), has_extra: false, root_model: true, name: "RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]" }), Enum(EnumSerializer { class: Py(0x5568ffb73c10), serializer: Some(Str(StrSerializer)) }), Model(ModelSerializer { class: Py(0x5568ffb75000), serializer: Fields(GeneralFieldsSerializer { fields: {"type": SerField { key_py: Py(0x7f0cef43cbf8), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f0cdc04fef0)), serializer: Literal(LiteralSerializer { expected_int: {}, expected_str: {"enterprise"}, expected_py: None, name: "literal['enterprise']" }) })), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 1 }), has_extra: false, root_model: false, name: "enterprise" })])[source]

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="CustomerBalance", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007f0cdc050af0, ), path: LookupPath( [ S( "created_at", Py( 0x00007f0cdc03a630, ), ), ], ), }, name_py: Py( 0x00007f0cdc1e7c70, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007f0cdc1cd8f0, ), path: LookupPath( [ S( "id", Py( 0x00007f0cdc1cd920, ), ), ], ), }, name_py: Py( 0x00007f0cef439688, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x00005568ff76dea0, ), config: Py( 0x00007f0cd7f06100, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "map_id", lookup_key: Simple { key: "map_id", py_key: Py( 0x00007f0cdc1cd860, ), path: LookupPath( [ S( "map_id", Py( 0x00007f0cdc1cd800, ), ), ], ), }, name_py: Py( 0x00007f0cdc062490, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x00005568ff76dea0, ), config: Py( 0x00007f0cd7f06100, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "modeling_app_enterprise_price", lookup_key: Simple { key: "modeling_app_enterprise_price", py_key: Py( 0x00007f0cdc046f10, ), path: LookupPath( [ S( "modeling_app_enterprise_price", Py( 0x00007f0cdc046f60, ), ), ], ), }, name_py: Py( 0x00007f0cdc0552f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f0cef347100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: DefinitionRef( DefinitionRefValidator { definition: "RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), name: "nullable[RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]]]", undefined: Py( 0x00007f0cde289e70, ), }, ), frozen: false, }, Field { name: "monthly_credits_remaining", lookup_key: Simple { key: "monthly_credits_remaining", py_key: Py( 0x00007f0cdc125bb0, ), path: LookupPath( [ S( "monthly_credits_remaining", Py( 0x00007f0cdc125c00, ), ), ], ), }, name_py: Py( 0x00007f0cdc055570, ), validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), frozen: false, }, Field { name: "pre_pay_cash_remaining", lookup_key: Simple { key: "pre_pay_cash_remaining", py_key: Py( 0x00007f0cdc03a530, ), path: LookupPath( [ S( "pre_pay_cash_remaining", Py( 0x00007f0cdc029a70, ), ), ], ), }, name_py: Py( 0x00007f0cdc053df0, ), validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), frozen: false, }, Field { name: "pre_pay_credits_remaining", lookup_key: Simple { key: "pre_pay_credits_remaining", py_key: Py( 0x00007f0cdc011f20, ), path: LookupPath( [ S( "pre_pay_credits_remaining", Py( 0x00007f0cdc011b60, ), ), ], ), }, name_py: Py( 0x00007f0cdc0554d0, ), validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), frozen: false, }, Field { name: "subscription_details", lookup_key: Simple { key: "subscription_details", py_key: Py( 0x00007f0cdc029970, ), path: LookupPath( [ S( "subscription_details", Py( 0x00007f0cdc0299f0, ), ), ], ), }, name_py: Py( 0x00007f0cdc053eb0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f0cef347100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "modeling_app", lookup_key: Simple { key: "modeling_app", py_key: Py( 0x00007f0cdc02bdb0, ), path: LookupPath( [ S( "modeling_app", Py( 0x00007f0cdc02be30, ), ), ], ), }, name_py: Py( 0x00007f0cdc04d1b0, ), validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "description", lookup_key: Simple { key: "description", py_key: Py( 0x00007f0cdc028ab0, ), path: LookupPath( [ S( "description", Py( 0x00007f0cdc02bcf0, ), ), ], ), }, name_py: Py( 0x00007f0cee423fb0, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "features", lookup_key: Simple { key: "features", py_key: Py( 0x00007f0cdc028170, ), path: LookupPath( [ S( "features", Py( 0x00007f0cdc028a30, ), ), ], ), }, name_py: Py( 0x00007f0cdfedcff0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f0cef347100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: List( ListValidator { strict: false, item_validator: Some( Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "info", lookup_key: Simple { key: "info", py_key: Py( 0x00007f0cdc03db90, ), path: LookupPath( [ S( "info", Py( 0x00007f0cdc03d9b0, ), ), ], ), }, name_py: Py( 0x00007f0cef419bc0, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, ], model_name: "SubscriptionTierFeature", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x00005568ffe69da0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f0cde289e70, ), name: "SubscriptionTierFeature", }, ), ), min_length: None, max_length: None, name: OnceLock( "list[SubscriptionTierFeature]", ), fail_fast: false, }, ), name: "nullable[list[SubscriptionTierFeature]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[list[SubscriptionTierFeature]]]", undefined: Py( 0x00007f0cde289e70, ), }, ), frozen: false, }, Field { name: "name", lookup_key: Simple { key: "name", py_key: Py( 0x00007f0cdc03db60, ), path: LookupPath( [ S( "name", Py( 0x00007f0cdc03dbf0, ), ), ], ), }, name_py: Py( 0x00007f0cef43a950, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x00005568ffe68dc0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "free": 0, "pro": 1, "team": 2, "enterprise": 3, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f0cdc058e90, ), Py( 0x00007f0cdc058ef0, ), Py( 0x00007f0cdc058f50, ), Py( 0x00007f0cdc058fb0, ), ], }, missing: None, expected_repr: "'free', 'pro', 'team' or 'enterprise'", strict: false, class_repr: "ModelingAppSubscriptionTierName", name: "str-enum[ModelingAppSubscriptionTierName]", }, ), frozen: false, }, Field { name: "pay_as_you_go_credits", lookup_key: Simple { key: "pay_as_you_go_credits", py_key: Py( 0x00007f0cdc02bd30, ), path: LookupPath( [ S( "pay_as_you_go_credits", Py( 0x00007f0cdc02bfb0, ), ), ], ), }, name_py: Py( 0x00007f0cdc03b4b0, ), validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), frozen: false, }, Field { name: "price", lookup_key: Simple { key: "price", py_key: Py( 0x00007f0cdc03d830, ), path: LookupPath( [ S( "price", Py( 0x00007f0cdc03daa0, ), ), ], ), }, name_py: Py( 0x00007f0cdcb7f780, ), validator: DefinitionRef( DefinitionRefValidator { definition: "RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), frozen: false, }, Field { name: "support_tier", lookup_key: Simple { key: "support_tier", py_key: Py( 0x00007f0cdc029270, ), path: LookupPath( [ S( "support_tier", Py( 0x00007f0cdc029170, ), ), ], ), }, name_py: Py( 0x00007f0cdca07fb0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x00005568ffe73460, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "standard": 1, "priority": 3, "premium": 2, "community": 0, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f0cdc059670, ), Py( 0x00007f0cdc059730, ), Py( 0x00007f0cdc059790, ), Py( 0x00007f0cdc0597f0, ), ], }, missing: None, expected_repr: "'community', 'standard', 'premium' or 'priority'", strict: false, class_repr: "SupportTier", name: "str-enum[SupportTier]", }, ), frozen: false, }, Field { name: "training_data_behavior", lookup_key: Simple { key: "training_data_behavior", py_key: Py( 0x00007f0cdc028df0, ), path: LookupPath( [ S( "training_data_behavior", Py( 0x00007f0cdc028570, ), ), ], ), }, name_py: Py( 0x00007f0cdc03b3b0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x00005568ffe73080, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "default_off": 2, "always": 0, "default_on": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f0cdc0593d0, ), Py( 0x00007f0cdc059490, ), Py( 0x00007f0cdc0594f0, ), ], }, missing: None, expected_repr: "'always', 'default_on' or 'default_off'", strict: false, class_repr: "SubscriptionTrainingDataBehavior", name: "str-enum[SubscriptionTrainingDataBehavior]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f0cdc03d800, ), path: LookupPath( [ S( "type", Py( 0x00007f0cdc03c390, ), ), ], ), }, name_py: Py( 0x00007f0cef43cbf8, ), validator: Model( ModelValidator { revalidate: Never, validator: TaggedUnion( TaggedUnionValidator { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007f0cef43cbf8, ), path: LookupPath( [ S( "type", Py( 0x00007f0cef43cbf8, ), ), ], ), }, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "individual": 0, "organization": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f0cdc03c420, ), path: LookupPath( [ S( "type", Py( 0x00007f0cdc03c1e0, ), ), ], ), }, name_py: Py( 0x00007f0cef43cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f0cdc04cc30, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "individual": 0, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f0cdc04cc30, ), ], }, expected_repr: "'individual'", name: "literal['individual']", }, ), validate_default: false, copy_default: false, name: "default[literal['individual']]", undefined: Py( 0x00007f0cde289e70, ), }, ), frozen: false, }, ], model_name: "individual", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x00005568ffe6d1f0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f0cde289e70, ), name: "individual", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "saml_sso", lookup_key: Simple { key: "saml_sso", py_key: Py( 0x00007f0cdc029930, ), path: LookupPath( [ S( "saml_sso", Py( 0x00007f0cdc028470, ), ), ], ), }, name_py: Py( 0x00007f0cdc0397b0, ), validator: Bool( BoolValidator { strict: false, }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f0cdc03c180, ), path: LookupPath( [ S( "type", Py( 0x00007f0cdc03dce0, ), ), ], ), }, name_py: Py( 0x00007f0cef43cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f0cee0b9170, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "organization": 0, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f0cee0b9170, ), ], }, expected_repr: "'organization'", name: "literal['organization']", }, ), validate_default: false, copy_default: false, name: "default[literal['organization']]", undefined: Py( 0x00007f0cde289e70, ), }, ), frozen: false, }, ], model_name: "organization", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x00005568ffe6e6b0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f0cde289e70, ), name: "organization", }, ), ], }, from_attributes: true, strict: false, custom_error: None, tags_repr: "'individual', 'organization'", discriminator_repr: "'type'", name: "tagged-union[individual,organization]", }, ), class: Py( 0x00005568ffe6c990, ), post_init: None, frozen: false, custom_init: false, root_model: true, undefined: Py( 0x00007f0cde289e70, ), name: "RootModel[Annotated[Union[individual, organization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), frozen: false, }, Field { name: "zoo_tools_included", lookup_key: Simple { key: "zoo_tools_included", py_key: Py( 0x00007f0cdc0281b0, ), path: LookupPath( [ S( "zoo_tools_included", Py( 0x00007f0cdc028f70, ), ), ], ), }, name_py: Py( 0x00007f0cdc039330, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f0cef347100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: List( ListValidator { strict: false, item_validator: Some( StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x00005568ffe744a0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "text_to_cad": 1, "modeling_app": 0, "diff_chrome_extension": 2, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f0cdc0596d0, ), Py( 0x00007f0cdc059850, ), Py( 0x00007f0cdc0598b0, ), ], }, missing: None, expected_repr: "'modeling_app', 'text_to_cad' or 'diff_chrome_extension'", strict: false, class_repr: "ZooTool", name: "str-enum[ZooTool]", }, ), ), min_length: None, max_length: None, name: OnceLock( "list[str-enum[ZooTool]]", ), fail_fast: false, }, ), name: "nullable[list[str-enum[ZooTool]]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[list[str-enum[ZooTool]]]]", undefined: Py( 0x00007f0cde289e70, ), }, ), frozen: false, }, ], model_name: "ModelingAppSubscriptionTier", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x00005568ffe74b90, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f0cde289e70, ), name: "ModelingAppSubscriptionTier", }, ), frozen: false, }, ], model_name: "ZooProductSubscriptions", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x00005568ffe8c780, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f0cde289e70, ), name: "ZooProductSubscriptions", }, ), name: "nullable[ZooProductSubscriptions]", }, ), validate_default: false, copy_default: false, name: "default[nullable[ZooProductSubscriptions]]", undefined: Py( 0x00007f0cde289e70, ), }, ), frozen: false, }, Field { name: "subscription_id", lookup_key: Simple { key: "subscription_id", py_key: Py( 0x00007f0cdc028930, ), path: LookupPath( [ S( "subscription_id", Py( 0x00007f0cdc02bf30, ), ), ], ), }, name_py: Py( 0x00007f0cdc053d30, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f0cef347100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), name: "nullable[str]", }, ), validate_default: false, copy_default: false, name: "default[nullable[str]]", undefined: Py( 0x00007f0cde289e70, ), }, ), frozen: false, }, Field { name: "total_due", lookup_key: Simple { key: "total_due", py_key: Py( 0x00007f0cdc028670, ), path: LookupPath( [ S( "total_due", Py( 0x00007f0cdc028b30, ), ), ], ), }, name_py: Py( 0x00007f0cdc053f30, ), validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007f0cdc0286f0, ), path: LookupPath( [ S( "updated_at", Py( 0x00007f0cd7f050f0, ), ), ], ), }, name_py: Py( 0x00007f0cdc0ffdb0, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, ], model_name: "CustomerBalance", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x00005568ffc12150, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f0cde289e70, ), name: "CustomerBalance", }, ), definitions=[StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x5568ffb73c10), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"month": 1, "year": 3, "day": 0, "week": 2}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f0cdc0586b0), Py(0x7f0cdc058710), Py(0x7f0cdc058770), Py(0x7f0cdc0587d0)] }, missing: None, expected_repr: "'day', 'month', 'week' or 'year'", strict: false, class_repr: "PlanInterval", name: "str-enum[PlanInterval]" }), Model(ModelValidator { revalidate: Never, validator: TaggedUnion(TaggedUnionValidator { discriminator: LookupKey(Simple { key: "type", py_key: Py(0x7f0cef43cbf8), path: LookupPath([S("type", Py(0x7f0cef43cbf8))]) }), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"enterprise": 2, "per_user": 1, "flat": 0}), expected_py_dict: None, expected_py_values: None, values: [DefinitionRef(DefinitionRefValidator { definition: "flat" }), DefinitionRef(DefinitionRefValidator { definition: "per_user" }), DefinitionRef(DefinitionRefValidator { definition: "enterprise" })] }, from_attributes: true, strict: false, custom_error: None, tags_repr: "'flat', 'per_user', 'enterprise'", discriminator_repr: "'type'", name: "tagged-union[flat,per_user,enterprise]" }), class: Py(0x5568ffb77350), post_init: None, frozen: false, custom_init: false, root_model: true, undefined: Py(0x7f0cde289e70), name: "RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "interval", lookup_key: Simple { key: "interval", py_key: Py(0x7f0cdc004070), path: LookupPath([S("interval", Py(0x7f0cdc0040f0))]) }, name_py: Py(0x7f0cee547a30), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "price", lookup_key: Simple { key: "price", py_key: Py(0x7f0cdcb7bb10), path: LookupPath([S("price", Py(0x7f0cdcb7bc60))]) }, name_py: Py(0x7f0cdcb7f780), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7f0cde70ff60), path: LookupPath([S("type", Py(0x7f0cdc1cd830))]) }, name_py: Py(0x7f0cef43cbf8), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f0cdc053fb0)), on_error: Raise, validator: Literal(LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"per_user": 0}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f0cdc053fb0)] }, expected_repr: "'per_user'", name: "literal['per_user']" }), validate_default: false, copy_default: false, name: "default[literal['per_user']]", undefined: Py(0x7f0cde289e70) }), frozen: false }], model_name: "per_user", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x5568ffb719c0), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f0cde289e70), name: "per_user" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7f0cdc1cd8c0), path: LookupPath([S("type", Py(0x7f0cdc1cd890))]) }, name_py: Py(0x7f0cef43cbf8), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f0cdc04fef0)), on_error: Raise, validator: Literal(LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"enterprise": 0}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f0cdc04fef0)] }, expected_repr: "'enterprise'", name: "literal['enterprise']" }), validate_default: false, copy_default: false, name: "default[literal['enterprise']]", undefined: Py(0x7f0cde289e70) }), frozen: false }], model_name: "enterprise", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x5568ffb75000), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f0cde289e70), name: "enterprise" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "interval", lookup_key: Simple { key: "interval", py_key: Py(0x7f0cde5f10b0), path: LookupPath([S("interval", Py(0x7f0cdc04de30))]) }, name_py: Py(0x7f0cee547a30), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "price", lookup_key: Simple { key: "price", py_key: Py(0x7f0cdc062ac0), path: LookupPath([S("price", Py(0x7f0cdc0633c0))]) }, name_py: Py(0x7f0cdcb7f780), validator: Float(FloatValidator { strict: false, allow_inf_nan: true }), frozen: false }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7f0cdc0634e0), path: LookupPath([S("type", Py(0x7f0cdc063780))]) }, name_py: Py(0x7f0cef43cbf8), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f0ceda712c0)), on_error: Raise, validator: Literal(LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"flat": 0}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f0ceda712c0)] }, expected_repr: "'flat'", name: "literal['flat']" }), validate_default: false, copy_default: false, name: "default[literal['flat']]", undefined: Py(0x7f0cde289e70) }), frozen: false }], model_name: "flat", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x5568ffb6f9e0), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f0cde289e70), name: "flat" })], cache_strings=True)[source]

__repr__()[source]

Return repr(self).

Return type:: str

__repr_args__()[source]

Return type:: Iterable[tuple[Optional[str], Any]]

__repr_name__()[source]

Name of the instance’s class, used in __repr__.

Return type:: str

__repr_str__(join_str)[source]

Return type:: str

__rich_repr__()[source]

Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.

Return type:: Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)[source]

Implement setattr(self, name, value).

Return type:: None

__setstate__(state)[source]

Return type:: None

__signature__: ClassVar[Signature] = <Signature (*, created_at: datetime.datetime, id: kittycad.models.uuid.Uuid, map_id: kittycad.models.uuid.Uuid, modeling_app_enterprise_price: Optional[pydantic.root_model.RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]] = None, monthly_credits_remaining: float, pre_pay_cash_remaining: float, pre_pay_credits_remaining: float, subscription_details: Optional[kittycad.models.zoo_product_subscriptions.ZooProductSubscriptions] = None, subscription_id: Optional[str] = None, total_due: float, updated_at: datetime.datetime) -> None>[source]

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')[source]

__str__()[source]

Return str(self).

Return type:: str

_abc_impl = <_abc._abc_data object>[source]

_calculate_keys(*args, **kwargs)[source]

Return type:: Any

_check_frozen(name, value)[source]

Return type:: None

_copy_and_set_values(*args, **kwargs)[source]

Return type:: Any

classmethod _get_value(*args, **kwargs)[source]

Return type:: Any

_iter(*args, **kwargs)[source]

Return type:: Any

classmethod construct(_fields_set=None, **values)[source]

Return type:: Self

copy(*, include=None, exclude=None, update=None, deep=False)[source]

Returns a copy of the model.

!!! warning “Deprecated”: This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `

Parameters:

include – Optional set or mapping specifying which fields to include in the copied model.
exclude – Optional set or mapping specifying which fields to exclude in the copied model.
update – Optional dictionary of field-value pairs to override field values in the copied model.
deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

A copy of the model with included, excluded and updated fields as specified.

created_at: datetime[source]

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)[source]

Return type:: Dict[str, Any]

classmethod from_orm(obj)[source]

Return type:: Self

id: Uuid[source]

json(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=PydanticUndefined, models_as_dict=PydanticUndefined, **dumps_kwargs)[source]

Return type:: str

map_id: Uuid[source]

model_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}[source]: A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}[source]: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)[source]

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note: model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

_fields_set (Optional[set[str]]) – The set of field names accepted for the Model instance.
values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)[source]

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

update (Optional[dict[str, Any]]) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.
deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)[source]

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.
include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to include in the output.
exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – A set of fields to exclude from the output.
context (Optional[Any]) – Additional context to pass to the serializer.
by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.
exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.
exclude_defaults (bool) – Whether to exclude fields that are set to their default value.
exclude_none (bool) – Whether to exclude fields that have a value of None.
round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].
warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].
serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

model_dump_json(*, indent=None, include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)[source]

Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

indent (Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.
include (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to include in the JSON output.
exclude (Union[Set[int], Set[str], Dict[int, Any], Dict[str, Any], None]) – Field(s) to exclude from the JSON output.
context (Optional[Any]) – Additional context to pass to the serializer.
by_alias (bool) – Whether to serialize using field aliases.
exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.
exclude_defaults (bool) – Whether to exclude fields that are set to their default value.
exclude_none (bool) – Whether to exclude fields that have a value of None.
round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].
warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].
serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None[source]

Get extra fields set during validation.

Returns:: A dictionary of extra fields, or None if config.extra is not set to "allow".

model_fields: ClassVar[dict[str, FieldInfo]] = {'created_at': FieldInfo(annotation=datetime, required=True), 'id': FieldInfo(annotation=Uuid, required=True), 'map_id': FieldInfo(annotation=Uuid, required=True), 'modeling_app_enterprise_price': FieldInfo(annotation=Union[RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], NoneType], required=False, default=None), 'monthly_credits_remaining': FieldInfo(annotation=float, required=True), 'pre_pay_cash_remaining': FieldInfo(annotation=float, required=True), 'pre_pay_credits_remaining': FieldInfo(annotation=float, required=True), 'subscription_details': FieldInfo(annotation=Union[ZooProductSubscriptions, NoneType], required=False, default=None), 'subscription_id': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'total_due': FieldInfo(annotation=float, required=True), 'updated_at': FieldInfo(annotation=datetime, required=True)}[source]

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str][source]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,: i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')[source]

Generates a JSON schema for a model class.

Parameters:

by_alias (bool) – Whether to use attribute aliases or not.
ref_template (str) – The reference template.
schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications
mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)[source]

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:: params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.
Return type:: str
Returns:: String representing the new class where params are passed to cls as type variables.
Raises:: TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)[source]

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

Return type:: None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)[source]

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

force (bool) – Whether to force the rebuilding of the model schema, defaults to False.
raise_errors (bool) – Whether to raise errors, defaults to True.
_parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.
_types_namespace (Optional[dict[str, Any]]) – The types namespace, defaults to None.

Return type:

Optional[bool]

Returns:

Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)[source]

Validate a pydantic model instance.

Parameters:

obj (Any) – The object to validate.
strict (Optional[bool]) – Whether to enforce types strictly.
from_attributes (Optional[bool]) – Whether to extract data from object attributes.
context (Optional[Any]) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)[source]

Usage docs: https://docs.pydantic.dev/2.8/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

json_data (str | bytes | bytearray) – The JSON data to validate.
strict (Optional[bool]) – Whether to enforce types strictly.
context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValueError – If json_data is not a JSON string.

classmethod model_validate_strings(obj, *, strict=None, context=None)[source]

Validate the given object with string data against the Pydantic model.

Parameters:

obj (Any) – The object containing string data to validate.
strict (Optional[bool]) – Whether to enforce types strictly.
context (Optional[Any]) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

modeling_app_enterprise_price: Optional[RootModel[Annotated[Union[flat, per_user, enterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]][source]

monthly_credits_remaining: float[source]

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]

Return type:: Self

classmethod parse_obj(obj)[source]

Return type:: Self

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]

Return type:: Self

pre_pay_cash_remaining: float[source]

pre_pay_credits_remaining: float[source]

classmethod schema(by_alias=True, ref_template='#/$defs/{model}')[source]

Return type:: Dict[str, Any]

classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)[source]

Return type:: str

subscription_details: Optional[ZooProductSubscriptions][source]

subscription_id: Optional[str][source]

total_due: float[source]

classmethod update_forward_refs(**localns)[source]

Return type:: None

updated_at: datetime[source]

classmethod validate(value)[source]

Return type:: Self