kittycad.models.zoo_product_subscription

Classes

ZooProductSubscription(**data)

A subscription to the modeling app.

class kittycad.models.zoo_product_subscription.ZooProductSubscription(**data)[source][source]

A subscription to the modeling app.

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.

__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]', 'description': <class 'str'>, 'features': typing.Optional[typing.List[kittycad.models.subscription_tier_feature.SubscriptionTierFeature]], 'model_computed_fields': 'ClassVar[Dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[Dict[str, FieldInfo]]', 'name': <enum 'ModelingAppSubscriptionTierName'>, 'pay_as_you_go_credits': <class 'float'>, 'price': <class 'pydantic.root_model.RootModel[Annotated[Union[OptionFlat, OptionPerUser, OptionEnterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'support_tier': <enum 'SupportTier'>, 'training_data_behavior': <enum 'SubscriptionTrainingDataBehavior'>, 'type': <class 'pydantic.root_model.RootModel[Annotated[Union[OptionIndividual, OptionOrganization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'zoo_tools_included': typing.Optional[typing.List[kittycad.models.zoo_tool.ZooTool]]}[source]

classmethod __class_getitem__(typevar_values)[source]

Return type:: type[BaseModel] | PydanticRecursiveRef

__class_vars__: ClassVar[set[str]] = {}[source]: The names of the class variables defined on the model.

__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, ComplexSchema]

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, ComplexSchema]) – 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.zoo_product_subscription'[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]: Metadata about the private attributes of the model.

__pydantic_complete__: ClassVar[bool] = True[source]: Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <enum 'PlanInterval'>, 'members': [PlanInterval.DAY, PlanInterval.MONTH, PlanInterval.WEEK, PlanInterval.YEAR], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.plan_interval.PlanInterval:93932743433024', 'sub_type': 'str', 'type': 'enum'}], 'schema': {'cls': <class 'kittycad.models.zoo_product_subscription.ZooProductSubscription'>, 'config': {'title': 'ZooProductSubscription'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.zoo_product_subscription.ZooProductSubscription'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.zoo_product_subscription.ZooProductSubscription'>>]}, 'ref': 'kittycad.models.zoo_product_subscription.ZooProductSubscription:93932774610352', '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:93932743493120', '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 GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.modeling_app_subscription_tier_name.ModelingAppSubscriptionTierName:93932743488960', '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': {'cls': <class 'pydantic.root_model.RootModel[Annotated[Union[OptionFlat, OptionPerUser, OptionEnterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[OptionFlat, OptionPerUser, OptionEnterprise], 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[OptionFlat, OptionPerUser, OptionEnterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'pydantic.root_model.RootModel[Annotated[Union[OptionFlat, OptionPerUser, OptionEnterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:93932755993712[Annotated[Union[OptionFlat, OptionPerUser, OptionEnterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:140544176730816]", 'root_model': True, 'schema': {'choices': {'enterprise': {'cls': <class 'kittycad.models.subscription_tier_price.OptionEnterprise'>, 'config': {'title': 'OptionEnterprise'}, '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.OptionEnterprise'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.subscription_tier_price.OptionEnterprise'>>]}, 'ref': 'kittycad.models.subscription_tier_price.OptionEnterprise:93932743454848', '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': 'OptionEnterprise', 'type': 'model-fields'}, 'type': 'model'}, 'flat': {'cls': <class 'kittycad.models.subscription_tier_price.OptionFlat'>, 'config': {'title': 'OptionFlat'}, '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.OptionFlat'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.subscription_tier_price.OptionFlat'>>]}, 'ref': 'kittycad.models.subscription_tier_price.OptionFlat:93932743436928', '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:93932743433024', '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': 'OptionFlat', 'type': 'model-fields'}, 'type': 'model'}, 'per_user': {'cls': <class 'kittycad.models.subscription_tier_price.OptionPerUser'>, 'config': {'title': 'OptionPerUser'}, '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.OptionPerUser'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.subscription_tier_price.OptionPerUser'>>]}, 'ref': 'kittycad.models.subscription_tier_price.OptionPerUser:93932743444896', '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:93932743433024', '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': 'OptionPerUser', 'type': 'model-fields'}, 'type': 'model'}}, 'discriminator': 'type', 'from_attributes': True, 'metadata': {}, 'strict': False, 'type': 'tagged-union'}, 'type': 'model'}, '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 GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.support_tier.SupportTier:93932743532304', '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 GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.subscription_training_data_behavior.SubscriptionTrainingDataBehavior:93932743531312', '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[OptionIndividual, OptionOrganization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[OptionIndividual, OptionOrganization], 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[OptionIndividual, OptionOrganization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'pydantic.root_model.RootModel[Annotated[Union[OptionIndividual, OptionOrganization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:93932755993712[Annotated[Union[OptionIndividual, OptionOrganization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:140544167155840]", 'root_model': True, 'schema': {'choices': {'individual': {'cls': <class 'kittycad.models.subscription_tier_type.OptionIndividual'>, 'config': {'title': 'OptionIndividual'}, '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.OptionIndividual'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.subscription_tier_type.OptionIndividual'>>]}, 'ref': 'kittycad.models.subscription_tier_type.OptionIndividual:93932743496176', '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': 'OptionIndividual', 'type': 'model-fields'}, 'type': 'model'}, 'organization': {'cls': <class 'kittycad.models.subscription_tier_type.OptionOrganization'>, 'config': {'title': 'OptionOrganization'}, '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.OptionOrganization'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.subscription_tier_type.OptionOrganization'>>]}, 'ref': 'kittycad.models.subscription_tier_type.OptionOrganization:93932743502080', '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': 'OptionOrganization', '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 GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.zoo_tool.ZooTool:93932743535680', 'sub_type': 'str', 'type': 'enum'}, 'type': 'list'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'ZooProductSubscription', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}[source]: The core schema of the model.

__pydantic_custom_init__: ClassVar[bool] = False[source]: Whether the model has a custom __init__ method.

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})[source]: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_extra__: dict[str, Any] | None[source]: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.

__pydantic_fields_set__: set[str][source]: The names of fields explicitly set during instantiation.

__pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}[source]: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

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] = None[source]: Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__: ClassVar[None | Literal['model_post_init']] = None[source]: The name of the post-init method for the model, if defined.

__pydantic_private__: dict[str, Any] | None[source]: Values of private attributes set on the model instance.

__pydantic_root_model__: ClassVar[bool] = False[source]: Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model( ModelSerializer { class: Py( 0x0000556e6da9d5b0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "pay_as_you_go_credits": SerField { key_py: Py( 0x00007fd2fd1e7070, ), alias: None, alias_py: None, serializer: Some( Float( FloatSerializer { inf_nan_mode: Null, }, ), ), required: true, }, "support_tier": SerField { key_py: Py( 0x00007fd2fddc91f0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556e6bcf9f10, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "description": SerField { key_py: Py( 0x00007fd300ffc930, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "features": SerField { key_py: Py( 0x00007fd2fea121f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd301948100, ), ), serializer: Nullable( NullableSerializer { serializer: List( ListSerializer { item_serializer: Model( ModelSerializer { class: Py( 0x0000556e6bcf0600, ), serializer: Fields( GeneralFieldsSerializer { fields: { "info": SerField { key_py: Py( 0x00007fd301a1aa20, ), 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, }, "price": SerField { key_py: Py( 0x00007fd2fde00a80, ), alias: None, alias_py: None, serializer: Some( Model( ModelSerializer { class: Py( 0x0000556e6bce9400, ), serializer: TaggedUnion( TaggedUnionSerializer { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007fd301a3da58, ), path: LookupPath( [ S( "type", Py( 0x00007fd301a3da58, ), ), ], ), }, ), lookup: { "enterprise": 2, "flat": 0, "per_user": 1, }, choices: [ Model( ModelSerializer { class: Py( 0x0000556e6bce2a80, ), serializer: Fields( GeneralFieldsSerializer { fields: { "price": SerField { key_py: Py( 0x00007fd2fde00a80, ), alias: None, alias_py: None, serializer: Some( Float( FloatSerializer { inf_nan_mode: Null, }, ), ), required: true, }, "interval": SerField { key_py: Py( 0x00007fd300a01f70, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: false, }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd301a3da58, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd2fffb6a30, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "flat", }, expected_py: None, name: "literal['flat']", }, ), }, ), ), 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: "OptionFlat", }, ), Model( ModelSerializer { class: Py( 0x0000556e6bce49a0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "interval": SerField { key_py: Py( 0x00007fd300a01f70, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: false, }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd301a3da58, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd2fd1d9df0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "per_user", }, expected_py: None, name: "literal['per_user']", }, ), }, ), ), required: true, }, "price": SerField { key_py: Py( 0x00007fd2fde00a80, ), 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: "OptionPerUser", }, ), Model( ModelSerializer { class: Py( 0x0000556e6bce7080, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fd301a3da58, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd2fd1d9f70, ), ), 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: "OptionEnterprise", }, ), ], name: "TaggedUnion[OptionFlat, OptionPerUser, OptionEnterprise]", }, ), has_extra: false, root_model: true, name: "RootModel[Annotated[Union[OptionFlat, OptionPerUser, OptionEnterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), ), required: true, }, "training_data_behavior": SerField { key_py: Py( 0x00007fd2fd1e7170, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556e6bcf9b30, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd301a3da58, ), alias: None, alias_py: None, serializer: Some( Model( ModelSerializer { class: Py( 0x0000556e6bcf5bd0, ), serializer: TaggedUnion( TaggedUnionSerializer { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007fd301a3da58, ), path: LookupPath( [ S( "type", Py( 0x00007fd301a3da58, ), ), ], ), }, ), lookup: { "individual": 0, "organization": 1, }, choices: [ Model( ModelSerializer { class: Py( 0x0000556e6bcf11f0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fd301a3da58, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd2fd1e61f0, ), ), 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: "OptionIndividual", }, ), Model( ModelSerializer { class: Py( 0x0000556e6bcf2900, ), serializer: Fields( GeneralFieldsSerializer { fields: { "saml_sso": SerField { key_py: Py( 0x00007fd2fd1e60f0, ), alias: None, alias_py: None, serializer: Some( Bool( BoolSerializer, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd301a3da58, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd300817170, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "organization", }, expected_py: None, name: "literal['organization']", }, ), }, ), ), 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: "OptionOrganization", }, ), ], name: "TaggedUnion[OptionIndividual, OptionOrganization]", }, ), has_extra: false, root_model: true, name: "RootModel[Annotated[Union[OptionIndividual, OptionOrganization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), ), required: true, }, "zoo_tools_included": SerField { key_py: Py( 0x00007fd2fd1e9230, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd301948100, ), ), serializer: Nullable( NullableSerializer { serializer: List( ListSerializer { item_serializer: Enum( EnumSerializer { class: Py( 0x0000556e6bcfac40, ), serializer: Some( Str( StrSerializer, ), ), }, ), filter: SchemaFilter { include: None, exclude: None, }, name: "list[enum]", }, ), }, ), }, ), ), required: true, }, "name": SerField { key_py: Py( 0x00007fd301a3b7b0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556e6bcef5c0, ), 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: "ZooProductSubscription", }, ), definitions=[Enum(EnumSerializer { class: Py(0x556e6bce1b40), serializer: Some(Str(StrSerializer)) })])[source]: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="ZooProductSubscription", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "description", lookup_key: Simple { key: "description", py_key: Py( 0x00007fd2fc80e6b0, ), path: LookupPath( [ S( "description", Py( 0x00007fd2fc80cdb0, ), ), ], ), }, name_py: Py( 0x00007fd300ffc930, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "features", lookup_key: Simple { key: "features", py_key: Py( 0x00007fd2fc80e3b0, ), path: LookupPath( [ S( "features", Py( 0x00007fd2fc80cf70, ), ), ], ), }, name_py: Py( 0x00007fd2fea121f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd301948100, ), ), 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( 0x00007fd2fc7d1530, ), path: LookupPath( [ S( "info", Py( 0x00007fd2fc7d1020, ), ), ], ), }, name_py: Py( 0x00007fd301a1aa20, ), 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( 0x0000556e6bcf0600, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd2ff99e310, ), 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( 0x00007fd2ff99e310, ), }, ), frozen: false, }, Field { name: "name", lookup_key: Simple { key: "name", py_key: Py( 0x00007fd2fc7d10b0, ), path: LookupPath( [ S( "name", Py( 0x00007fd2fc7d1080, ), ), ], ), }, name_py: Py( 0x00007fd301a3b7b0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556e6bcef5c0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "free": 0, "team": 2, "pro": 1, "enterprise": 3, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007fd2fd303410, ), Py( 0x00007fd2fd303470, ), Py( 0x00007fd2fd3034d0, ), Py( 0x00007fd2fd303530, ), ], }, 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( 0x00007fd2fceedb70, ), path: LookupPath( [ S( "pay_as_you_go_credits", Py( 0x00007fd2fc80daf0, ), ), ], ), }, name_py: Py( 0x00007fd2fd1e7070, ), validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), frozen: false, }, Field { name: "price", lookup_key: Simple { key: "price", py_key: Py( 0x00007fd2fc7d16b0, ), path: LookupPath( [ S( "price", Py( 0x00007fd2fc7d1680, ), ), ], ), }, name_py: Py( 0x00007fd2fde00a80, ), validator: Model( ModelValidator { revalidate: Never, validator: TaggedUnion( TaggedUnionValidator { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007fd301a3da58, ), path: LookupPath( [ S( "type", Py( 0x00007fd301a3da58, ), ), ], ), }, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "enterprise": 2, "flat": 0, "per_user": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "interval", lookup_key: Simple { key: "interval", py_key: Py( 0x00007fd2fc80d730, ), path: LookupPath( [ S( "interval", Py( 0x00007fd2fc80e570, ), ), ], ), }, name_py: Py( 0x00007fd300a01f70, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "price", lookup_key: Simple { key: "price", py_key: Py( 0x00007fd2fc7d0f60, ), path: LookupPath( [ S( "price", Py( 0x00007fd2fc7d0fc0, ), ), ], ), }, name_py: Py( 0x00007fd2fde00a80, ), validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd2fc7d15f0, ), path: LookupPath( [ S( "type", Py( 0x00007fd2fc7d15c0, ), ), ], ), }, name_py: Py( 0x00007fd301a3da58, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd2fffb6a30, ), ), 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( 0x00007fd2fffb6a30, ), ], }, expected_repr: "'flat'", name: "literal['flat']", }, ), validate_default: false, copy_default: false, name: "default[literal['flat']]", undefined: Py( 0x00007fd2ff99e310, ), }, ), frozen: false, }, ], model_name: "OptionFlat", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556e6bce2a80, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd2ff99e310, ), name: "OptionFlat", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "interval", lookup_key: Simple { key: "interval", py_key: Py( 0x00007fd2fc80dfb0, ), path: LookupPath( [ S( "interval", Py( 0x00007fd2fc80d4b0, ), ), ], ), }, name_py: Py( 0x00007fd300a01f70, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "price", lookup_key: Simple { key: "price", py_key: Py( 0x00007fd2fc7d1200, ), path: LookupPath( [ S( "price", Py( 0x00007fd2fc7d1500, ), ), ], ), }, name_py: Py( 0x00007fd2fde00a80, ), validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd2fc7d1410, ), path: LookupPath( [ S( "type", Py( 0x00007fd2fc7d14a0, ), ), ], ), }, name_py: Py( 0x00007fd301a3da58, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd2fd1d9df0, ), ), 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( 0x00007fd2fd1d9df0, ), ], }, expected_repr: "'per_user'", name: "literal['per_user']", }, ), validate_default: false, copy_default: false, name: "default[literal['per_user']]", undefined: Py( 0x00007fd2ff99e310, ), }, ), frozen: false, }, ], model_name: "OptionPerUser", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556e6bce49a0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd2ff99e310, ), name: "OptionPerUser", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd2fc7d1740, ), path: LookupPath( [ S( "type", Py( 0x00007fd2fc7d1770, ), ), ], ), }, name_py: Py( 0x00007fd301a3da58, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd2fd1d9f70, ), ), 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( 0x00007fd2fd1d9f70, ), ], }, expected_repr: "'enterprise'", name: "literal['enterprise']", }, ), validate_default: false, copy_default: false, name: "default[literal['enterprise']]", undefined: Py( 0x00007fd2ff99e310, ), }, ), frozen: false, }, ], model_name: "OptionEnterprise", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556e6bce7080, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd2ff99e310, ), name: "OptionEnterprise", }, ), ], }, from_attributes: true, strict: false, custom_error: None, tags_repr: "'flat', 'per_user', 'enterprise'", discriminator_repr: "'type'", name: "tagged-union[OptionFlat,OptionPerUser,OptionEnterprise]", }, ), class: Py( 0x0000556e6bce9400, ), post_init: None, frozen: false, custom_init: false, root_model: true, undefined: Py( 0x00007fd2ff99e310, ), name: "RootModel[Annotated[Union[OptionFlat, OptionPerUser, OptionEnterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), frozen: false, }, Field { name: "support_tier", lookup_key: Simple { key: "support_tier", py_key: Py( 0x00007fd2fc80e1b0, ), path: LookupPath( [ S( "support_tier", Py( 0x00007fd2fc80d870, ), ), ], ), }, name_py: Py( 0x00007fd2fddc91f0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556e6bcf9f10, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "standard": 1, "premium": 2, "community": 0, "priority": 3, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007fd2fd303bf0, ), Py( 0x00007fd2fd303cb0, ), Py( 0x00007fd2fd303d10, ), Py( 0x00007fd2fd303d70, ), ], }, 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( 0x00007fd2fc80e9f0, ), path: LookupPath( [ S( "training_data_behavior", Py( 0x00007fd2fc80e4f0, ), ), ], ), }, name_py: Py( 0x00007fd2fd1e7170, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556e6bcf9b30, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "default_on": 1, "always": 0, "default_off": 2, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007fd2fd303950, ), Py( 0x00007fd2fd303a10, ), Py( 0x00007fd2fd303a70, ), ], }, 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( 0x00007fd2fc7d14d0, ), path: LookupPath( [ S( "type", Py( 0x00007fd2fc7d1710, ), ), ], ), }, name_py: Py( 0x00007fd301a3da58, ), validator: Model( ModelValidator { revalidate: Never, validator: TaggedUnion( TaggedUnionValidator { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007fd301a3da58, ), path: LookupPath( [ S( "type", Py( 0x00007fd301a3da58, ), ), ], ), }, ), 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( 0x00007fd2fc7d1560, ), path: LookupPath( [ S( "type", Py( 0x00007fd2fc7d1620, ), ), ], ), }, name_py: Py( 0x00007fd301a3da58, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd2fd1e61f0, ), ), 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( 0x00007fd2fd1e61f0, ), ], }, expected_repr: "'individual'", name: "literal['individual']", }, ), validate_default: false, copy_default: false, name: "default[literal['individual']]", undefined: Py( 0x00007fd2ff99e310, ), }, ), frozen: false, }, ], model_name: "OptionIndividual", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556e6bcf11f0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd2ff99e310, ), name: "OptionIndividual", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "saml_sso", lookup_key: Simple { key: "saml_sso", py_key: Py( 0x00007fd2fc80e2b0, ), path: LookupPath( [ S( "saml_sso", Py( 0x00007fd2fc80e0f0, ), ), ], ), }, name_py: Py( 0x00007fd2fd1e60f0, ), validator: Bool( BoolValidator { strict: false, }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd2fc7d1440, ), path: LookupPath( [ S( "type", Py( 0x00007fd2fc7d1590, ), ), ], ), }, name_py: Py( 0x00007fd301a3da58, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd300817170, ), ), 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( 0x00007fd300817170, ), ], }, expected_repr: "'organization'", name: "literal['organization']", }, ), validate_default: false, copy_default: false, name: "default[literal['organization']]", undefined: Py( 0x00007fd2ff99e310, ), }, ), frozen: false, }, ], model_name: "OptionOrganization", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556e6bcf2900, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd2ff99e310, ), name: "OptionOrganization", }, ), ], }, from_attributes: true, strict: false, custom_error: None, tags_repr: "'individual', 'organization'", discriminator_repr: "'type'", name: "tagged-union[OptionIndividual,OptionOrganization]", }, ), class: Py( 0x0000556e6bcf5bd0, ), post_init: None, frozen: false, custom_init: false, root_model: true, undefined: Py( 0x00007fd2ff99e310, ), name: "RootModel[Annotated[Union[OptionIndividual, OptionOrganization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), frozen: false, }, Field { name: "zoo_tools_included", lookup_key: Simple { key: "zoo_tools_included", py_key: Py( 0x00007fd2fc80e830, ), path: LookupPath( [ S( "zoo_tools_included", Py( 0x00007fd2fc80e670, ), ), ], ), }, name_py: Py( 0x00007fd2fd1e9230, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd301948100, ), ), 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( 0x0000556e6bcfac40, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "modeling_app": 0, "text_to_cad": 1, "diff_chrome_extension": 2, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007fd2fd303c50, ), Py( 0x00007fd2fd303dd0, ), Py( 0x00007fd2fd303e30, ), ], }, 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( 0x00007fd2ff99e310, ), }, ), frozen: false, }, ], model_name: "ZooProductSubscription", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556e6da9d5b0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd2ff99e310, ), name: "ZooProductSubscription", }, ), definitions=[StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x556e6bce1b40), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"month": 1, "day": 0, "year": 3, "week": 2}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7fd2fd302c30), Py(0x7fd2fd302c90), Py(0x7fd2fd302cf0), Py(0x7fd2fd302d50)] }, missing: None, expected_repr: "'day', 'month', 'week' or 'year'", strict: false, class_repr: "PlanInterval", name: "str-enum[PlanInterval]" })], cache_strings=True)[source]: The pydantic-core SchemaValidator used to validate instances of the model.

__repr__()[source]

Return repr(self).

Return type:: str

__repr_args__()[source]

Return type:: Iterable[tuple[str | None, 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 (*, description: str, features: Optional[List[kittycad.models.subscription_tier_feature.SubscriptionTierFeature]] = None, name: kittycad.models.modeling_app_subscription_tier_name.ModelingAppSubscriptionTierName, pay_as_you_go_credits: float, price: pydantic.root_model.RootModel[Annotated[Union[OptionFlat, OptionPerUser, OptionEnterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], support_tier: kittycad.models.support_tier.SupportTier, training_data_behavior: kittycad.models.subscription_training_data_behavior.SubscriptionTrainingDataBehavior, type: pydantic.root_model.RootModel[Annotated[Union[OptionIndividual, OptionOrganization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], zoo_tools_included: Optional[List[kittycad.models.zoo_tool.ZooTool]] = None) -> None>[source]: The synthesized __init__ [Signature][inspect.Signature] of the model.

__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.

description: str[source]

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

Return type:: Dict[str, Any]

features: Optional[List[SubscriptionTierFeature]][source]

classmethod from_orm(obj)[source]

Return type:: Self

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

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 (set[str] | None) – A set of field names that were originally explicitly set during instantiation. If provided, this is directly used for the [model_fields_set][pydantic.BaseModel.model_fields_set] attribute. Otherwise, the field names from the values argument will be used.
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/2.9/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

update (dict[str, Any] | None) – 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/2.9/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, Union[Set[int], Set[str], Dict[int, Union[IncEx, bool]], Dict[str, Union[IncEx, bool]], bool]], Dict[str, Union[Set[int], Set[str], Dict[int, Union[IncEx, bool]], Dict[str, Union[IncEx, bool]], bool]], None]) – A set of fields to include in the output.
exclude (Union[Set[int], Set[str], Dict[int, Union[Set[int], Set[str], Dict[int, Union[IncEx, bool]], Dict[str, Union[IncEx, bool]], bool]], Dict[str, Union[Set[int], Set[str], Dict[int, Union[IncEx, bool]], Dict[str, Union[IncEx, bool]], bool]], None]) – A set of fields to exclude from the output.
context (Any | None) – 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/2.9/concepts/serialization/#modelmodel_dump_json

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

Parameters:

indent (int | None) – Indentation to use in the JSON output. If None is passed, the output will be compact.
include (Union[Set[int], Set[str], Dict[int, Union[Set[int], Set[str], Dict[int, Union[IncEx, bool]], Dict[str, Union[IncEx, bool]], bool]], Dict[str, Union[Set[int], Set[str], Dict[int, Union[IncEx, bool]], Dict[str, Union[IncEx, bool]], bool]], None]) – Field(s) to include in the JSON output.
exclude (Union[Set[int], Set[str], Dict[int, Union[Set[int], Set[str], Dict[int, Union[IncEx, bool]], Dict[str, Union[IncEx, bool]], bool]], Dict[str, Union[Set[int], Set[str], Dict[int, Union[IncEx, bool]], Dict[str, Union[IncEx, bool]], bool]], None]) – Field(s) to exclude from the JSON output.
context (Any | None) – 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]] = {'description': FieldInfo(annotation=str, required=True), 'features': FieldInfo(annotation=Union[List[SubscriptionTierFeature], NoneType], required=False, default=None), 'name': FieldInfo(annotation=ModelingAppSubscriptionTierName, required=True), 'pay_as_you_go_credits': FieldInfo(annotation=float, required=True), 'price': FieldInfo(annotation=RootModel[Annotated[Union[OptionFlat, OptionPerUser, OptionEnterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], required=True), 'support_tier': FieldInfo(annotation=SupportTier, required=True), 'training_data_behavior': FieldInfo(annotation=SubscriptionTrainingDataBehavior, required=True), 'type': FieldInfo(annotation=RootModel[Annotated[Union[OptionIndividual, OptionOrganization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], required=True), 'zoo_tools_included': FieldInfo(annotation=Union[List[ZooTool], NoneType], required=False, default=None)}[source]

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

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 (dict[str, Any] | None) – The types namespace, defaults to None.

Return type:

bool | None

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 (bool | None) – Whether to enforce types strictly.
from_attributes (bool | None) – Whether to extract data from object attributes.
context (Any | None) – 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/2.9/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 (bool | None) – Whether to enforce types strictly.
context (Any | None) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

ValidationError – If json_data is not a JSON string or the object could not be validated.

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 (bool | None) – Whether to enforce types strictly.
context (Any | None) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

name: ModelingAppSubscriptionTierName[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

pay_as_you_go_credits: float[source]

price: RootModel[Annotated[Union[OptionFlat, OptionPerUser, OptionEnterprise], FieldInfo(annotation=NoneType, required=True, discriminator='type')]][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

support_tier: SupportTier[source]

training_data_behavior: SubscriptionTrainingDataBehavior[source]

type: RootModel[Annotated[Union[OptionIndividual, OptionOrganization], FieldInfo(annotation=NoneType, required=True, discriminator='type')]][source]

classmethod update_forward_refs(**localns)[source]

Return type:: None

classmethod validate(value)[source]

Return type:: Self

zoo_tools_included: Optional[List[ZooTool]][source]