kittycad.models.async_api_call_output
Classes
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File center of mass. |
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A file conversion. |
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A file density. |
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A file mass. |
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A file surface area. |
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A file volume. |
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Text to CAD. |
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Text to CAD iteration. |
- class kittycad.models.async_api_call_output.OptionFileCenterOfMass(**data)[source][source]
File center of mass.
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.selfis explicitly positional-only to allowselfas a field name.- __annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[Dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_computed_fields__': 'ClassVar[Dict[str, ComputedFieldInfo]]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields__': 'ClassVar[Dict[str, FieldInfo]]', '__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]', 'center_of_mass': typing.Optional[kittycad.models.point3d.Point3d], 'completed_at': typing.Optional[datetime.datetime], 'created_at': <class 'datetime.datetime'>, 'error': typing.Optional[str], 'id': <class 'kittycad.models.uuid.Uuid'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'output_unit': <enum 'UnitLength'>, 'src_format': <enum 'FileImportFormat'>, 'started_at': typing.Optional[datetime.datetime], 'status': <enum 'ApiCallStatus'>, 'type': typing.Literal['file_center_of_mass'], 'updated_at': <class 'datetime.datetime'>, 'user_id': <class 'kittycad.models.uuid.Uuid'>}[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.
- 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 theclsargument if this is a classmethod.handler (
GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.
- Return type:
Union[InvalidSchema,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-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[InvalidSchema,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]) – Apydantic-coreCoreSchema. 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 apydantic.errors.PydanticInvalidForJsonSchemaif JSON schema generation fails. Since this gets called byBaseModel.model_json_schemayou can override theschema_generatorargument to that function to change JSON schema generation globally for a type.
- Return type:
- Returns:
A JSON schema, as a Python object.
- __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.selfis explicitly positional-only to allowselfas a field name.
- __pretty__(fmt, **kwargs)[source]
Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.
- __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_computed_fields__: ClassVar[Dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding [
ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.async_api_call_output.OptionFileCenterOfMass'>, 'config': {'title': 'OptionFileCenterOfMass'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.OptionFileCenterOfMass'>>]}, 'ref': 'kittycad.models.async_api_call_output.OptionFileCenterOfMass:94092194136272', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'center_of_mass': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:94092181057744', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'completed_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'error': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'output_unit': {'metadata': {}, 'schema': {'cls': <enum 'UnitLength'>, 'members': [UnitLength.CM, UnitLength.FT, UnitLength.IN, UnitLength.M, UnitLength.MM, UnitLength.YD], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_length.UnitLength:94092190564816', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'src_format': {'metadata': {}, 'schema': {'cls': <enum 'FileImportFormat'>, 'members': [FileImportFormat.FBX, FileImportFormat.GLTF, FileImportFormat.OBJ, FileImportFormat.PLY, FileImportFormat.SLDPRT, FileImportFormat.STEP, FileImportFormat.STL], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_import_format.FileImportFormat:94092193082944', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'started_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:94092195505552', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'file_center_of_mass', 'schema': {'expected': ['file_center_of_mass'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'OptionFileCenterOfMass', 'type': 'model-fields'}, 'type': 'model'}[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__andModel.__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__: ClassVar[Dict[str, FieldInfo]] = {'center_of_mass': FieldInfo(annotation=Union[Point3d, NoneType], required=False, default=None), 'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'output_unit': FieldInfo(annotation=UnitLength, required=True), 'src_format': FieldInfo(annotation=FileImportFormat, required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['file_center_of_mass'], required=False, default='file_center_of_mass'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
A dictionary of field names and their corresponding [
FieldInfo][pydantic.fields.FieldInfo] objects. This replacesModel.__fields__from Pydantic V1.
- __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 byModelMetaclassonly after the class is actually fully initialized. In particular, attributes likemodel_fieldswill be present when this is called.This is necessary because
__init_subclass__will always be called bytype.__new__, and it would require a prohibitively large refactor to theModelMetaclassto ensure thattype.__new__was called in such a manner that the class would already be sufficiently initialized.This will receive the same
kwargsthat would be passed to the standard__init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.
- __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( 0x000055938bcec0d0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "src_format": SerField { key_py: Py( 0x00007fd3737ecbf0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bbeae40, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007fd3735f1ff0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007fd3735f1e70, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007fd3741451a0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007fd377d7b040, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "center_of_mass": SerField { key_py: Py( 0x00007fd37481fdf0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Model( ModelSerializer { class: Py( 0x000055938b0730d0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "y": SerField { key_py: Py( 0x00007fd377e24450, ), alias: None, alias_py: None, serializer: Some( Float( FloatSerializer { inf_nan_mode: Null, }, ), ), required: true, }, "z": SerField { key_py: Py( 0x00007fd377e24480, ), alias: None, alias_py: None, serializer: Some( Float( FloatSerializer { inf_nan_mode: Null, }, ), ), required: true, }, "x": SerField { key_py: Py( 0x00007fd377e24420, ), 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: "Point3d", }, ), }, ), }, ), ), required: true, }, "output_unit": SerField { key_py: Py( 0x00007fd3740c7eb0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938b9841d0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007fd373601430, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007fd373601470, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007fd377e22030, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938be3a590, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd3746af070, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "file_center_of_mass", }, expected_py: None, name: "literal['file_center_of_mass']", }, ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007fd377e1f3d0, ), 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: 12, }, ), has_extra: false, root_model: false, name: "OptionFileCenterOfMass", }, ), definitions=[])[source]
The
pydantic-coreSchemaSerializerused to dump instances of the model.
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="OptionFileCenterOfMass", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "center_of_mass", lookup_key: Simple { key: "center_of_mass", py_key: Py( 0x00007fd373fb7370, ), path: LookupPath( [ S( "center_of_mass", Py( 0x00007fd373fb4fb0, ), ), ], ), }, name_py: Py( 0x00007fd37481fdf0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "x", lookup_key: Simple { key: "x", py_key: Py( 0x00007fd377e24420, ), path: LookupPath( [ S( "x", Py( 0x00007fd377e24420, ), ), ], ), }, name_py: Py( 0x00007fd377e24420, ), validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), frozen: false, }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py( 0x00007fd377e24450, ), path: LookupPath( [ S( "y", Py( 0x00007fd377e24450, ), ), ], ), }, name_py: Py( 0x00007fd377e24450, ), validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), frozen: false, }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py( 0x00007fd377e24480, ), path: LookupPath( [ S( "z", Py( 0x00007fd377e24480, ), ), ], ), }, name_py: Py( 0x00007fd377e24480, ), validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), frozen: false, }, ], model_name: "Point3d", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938b0730d0, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "Point3d", }, ), name: "nullable[Point3d]", }, ), validate_default: false, copy_default: false, name: "default[nullable[Point3d]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007fd373fb5df0, ), path: LookupPath( [ S( "completed_at", Py( 0x00007fd373fb5d30, ), ), ], ), }, name_py: Py( 0x00007fd373601470, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007fd373fb5eb0, ), path: LookupPath( [ S( "created_at", Py( 0x00007fd373fb6ff0, ), ), ], ), }, name_py: Py( 0x00007fd373601430, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007fd374054f90, ), path: LookupPath( [ S( "error", Py( 0x00007fd374055020, ), ), ], ), }, name_py: Py( 0x00007fd377d7b040, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), 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( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007fd374055050, ), path: LookupPath( [ S( "id", Py( 0x00007fd374055080, ), ), ], ), }, name_py: Py( 0x00007fd377e1f3d0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd373fb5f80, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "output_unit", lookup_key: Simple { key: "output_unit", py_key: Py( 0x00007fd373fb64b0, ), path: LookupPath( [ S( "output_unit", Py( 0x00007fd373fb47b0, ), ), ], ), }, name_py: Py( 0x00007fd3740c7eb0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938b9841d0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "cm": 0, "in": 2, "m": 3, "yd": 5, "ft": 1, "mm": 4, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd373fb67c0, ), ), values: [ Py( 0x00007fd37380f2f0, ), Py( 0x00007fd37380f8f0, ), Py( 0x00007fd37380f950, ), Py( 0x00007fd37380f890, ), Py( 0x00007fd37380fa70, ), Py( 0x00007fd37380fad0, ), ], }, missing: None, expected_repr: "'cm', 'ft', 'in', 'm', 'mm' or 'yd'", strict: false, class_repr: "UnitLength", name: "str-enum[UnitLength]", }, ), frozen: false, }, Field { name: "src_format", lookup_key: Simple { key: "src_format", py_key: Py( 0x00007fd373fb72b0, ), path: LookupPath( [ S( "src_format", Py( 0x00007fd373fb5070, ), ), ], ), }, name_py: Py( 0x00007fd3737ecbf0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bbeae40, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "step": 5, "obj": 2, "ply": 3, "fbx": 0, "gltf": 1, "sldprt": 4, "stl": 6, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd373fb4f80, ), ), values: [ Py( 0x00007fd37380eed0, ), Py( 0x00007fd37380ef30, ), Py( 0x00007fd37380ef90, ), Py( 0x00007fd37380eff0, ), Py( 0x00007fd37380f050, ), Py( 0x00007fd37380f0b0, ), Py( 0x00007fd37380f110, ), ], }, missing: None, expected_repr: "'fbx', 'gltf', 'obj', 'ply', 'sldprt', 'step' or 'stl'", strict: false, class_repr: "FileImportFormat", name: "str-enum[FileImportFormat]", }, ), frozen: false, }, Field { name: "started_at", lookup_key: Simple { key: "started_at", py_key: Py( 0x00007fd373fb53b0, ), path: LookupPath( [ S( "started_at", Py( 0x00007fd373fb6830, ), ), ], ), }, name_py: Py( 0x00007fd3735f1ff0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007fd3740550b0, ), path: LookupPath( [ S( "status", Py( 0x00007fd3740550e0, ), ), ], ), }, name_py: Py( 0x00007fd377e22030, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938be3a590, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "failed": 4, "in_progress": 2, "queued": 0, "completed": 3, "uploaded": 1, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd373fb6980, ), ), values: [ Py( 0x00007fd37380d130, ), Py( 0x00007fd37380d190, ), Py( 0x00007fd37380d250, ), Py( 0x00007fd37380d2b0, ), Py( 0x00007fd37380d310, ), ], }, missing: None, expected_repr: "'queued', 'uploaded', 'in_progress', 'completed' or 'failed'", strict: false, class_repr: "ApiCallStatus", name: "str-enum[ApiCallStatus]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd374055110, ), path: LookupPath( [ S( "type", Py( 0x00007fd374055140, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd3746af070, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "file_center_of_mass": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd373fb6380, ), ), values: [ Py( 0x00007fd3746af070, ), ], }, expected_repr: "'file_center_of_mass'", name: "literal['file_center_of_mass']", }, ), validate_default: false, copy_default: false, name: "default[literal['file_center_of_mass']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007fd373fb4e30, ), path: LookupPath( [ S( "updated_at", Py( 0x00007fd373fb70b0, ), ), ], ), }, name_py: Py( 0x00007fd3735f1e70, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "user_id", lookup_key: Simple { key: "user_id", py_key: Py( 0x00007fd374055170, ), path: LookupPath( [ S( "user_id", Py( 0x00007fd3740551a0, ), ), ], ), }, name_py: Py( 0x00007fd3741451a0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd373fb5f80, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "OptionFileCenterOfMass", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938bcec0d0, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionFileCenterOfMass", }, ), definitions=[], cache_strings=True)[source]
The
pydantic-coreSchemaValidatorused to validate instances of the model.
- __repr_recursion__(object)[source]
Returns the string representation of a recursive object.
- Return type:
- __rich_repr__()[source]
Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.
- __signature__: ClassVar[Signature] = <Signature (*, center_of_mass: Optional[kittycad.models.point3d.Point3d] = None, completed_at: Optional[datetime.datetime] = None, created_at: datetime.datetime, error: Optional[str] = None, id: kittycad.models.uuid.Uuid, output_unit: kittycad.models.unit_length.UnitLength, src_format: kittycad.models.file_import_format.FileImportFormat, started_at: Optional[datetime.datetime] = None, status: kittycad.models.api_call_status.ApiCallStatus, type: Literal['file_center_of_mass'] = 'file_center_of_mass', updated_at: datetime.datetime, user_id: kittycad.models.uuid.Uuid) -> None>[source]
The synthesized
__init__[Signature][inspect.Signature] of the model.
- __slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')[source]
- 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_copyinstead.
If you need
includeorexclude, use:`python {test="skip" lint="skip"} 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.
- dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)[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:
- 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
Modelclass 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 themodel_config.extrasetting on the provided model. That is, ifmodel_config.extra == 'allow', then all extra passed values are added to the model instance’s__dict__and__pydantic_extra__fields. Ifmodel_config.extra == 'ignore'(the default), then all extra passed values are ignored. Because no validation is performed with a call tomodel_construct(), havingmodel_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 thevaluesargument will be used.values (
Any) – Trusted or pre-validated data dictionary.
- Return type:
Self- Returns:
A new instance of the
Modelclass with validated data.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#model_copy
Returns a copy of the model.
- 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/2.10/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 whichto_pythonshould 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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/2.10/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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
Noneifconfig.extrais not set to"allow".
- model_fields: ClassVar[dict[str, FieldInfo]] = {'center_of_mass': FieldInfo(annotation=Union[Point3d, NoneType], required=False, default=None), 'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'output_unit': FieldInfo(annotation=UnitLength, required=True), 'src_format': FieldInfo(annotation=FileImportFormat, required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['file_center_of_mass'], required=False, default='file_center_of_mass'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
- 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 ofGenerateJsonSchemawith your desired modificationsmode (
Literal['validation','serialization']) – The mode in which to generate the schema.
- Return type:
- 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 classModelwith 2 type variables and a concrete modelModel[str, int], the value(str, int)would be passed toparams.- Return type:
- Returns:
String representing the new class where
paramsare passed toclsas 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__andmodel_construct. This is useful if you want to do some validation that requires the entire model to be initialized.- Return type:
- 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 toFalse.raise_errors (
bool) – Whether to raise errors, defaults toTrue._parent_namespace_depth (
int) – The depth level of the parent namespace, defaults to 2._types_namespace (
Optional[Mapping[str,Any]]) – The types namespace, defaults toNone.
- Return type:
- Returns:
Returns
Noneif the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returnsTrueif rebuilding was successful, otherwiseFalse.
- classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)[source]
Validate a pydantic model instance.
- Parameters:
- 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/2.10/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValidationError – If
json_datais 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.
-
output_unit:
UnitLength[source]
- classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)[source]
- Return type:
-
src_format:
FileImportFormat[source]
-
status:
ApiCallStatus[source]
- class kittycad.models.async_api_call_output.OptionFileConversion(**data)[source][source]
A file conversion.
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.selfis explicitly positional-only to allowselfas a field name.- __annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[Dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_computed_fields__': 'ClassVar[Dict[str, ComputedFieldInfo]]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields__': 'ClassVar[Dict[str, FieldInfo]]', '__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]', 'completed_at': typing.Optional[datetime.datetime], 'created_at': <class 'datetime.datetime'>, 'error': typing.Optional[str], 'id': <class 'kittycad.models.uuid.Uuid'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'output_format': <enum 'FileExportFormat'>, 'output_format_options': typing.Optional[pydantic.root_model.RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]], 'outputs': typing.Optional[typing.Dict[str, kittycad.models.base64data.Base64Data]], 'src_format': <enum 'FileImportFormat'>, 'src_format_options': typing.Optional[pydantic.root_model.RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]], 'started_at': typing.Optional[datetime.datetime], 'status': <enum 'ApiCallStatus'>, 'type': typing.Literal['file_conversion'], 'updated_at': <class 'datetime.datetime'>, 'user_id': <class 'kittycad.models.uuid.Uuid'>}[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.
- 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 theclsargument if this is a classmethod.handler (
GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.
- Return type:
Union[InvalidSchema,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-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[InvalidSchema,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]) – Apydantic-coreCoreSchema. 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 apydantic.errors.PydanticInvalidForJsonSchemaif JSON schema generation fails. Since this gets called byBaseModel.model_json_schemayou can override theschema_generatorargument to that function to change JSON schema generation globally for a type.
- Return type:
- Returns:
A JSON schema, as a Python object.
- __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.selfis explicitly positional-only to allowselfas a field name.
- __pretty__(fmt, **kwargs)[source]
Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.
- __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_computed_fields__: ClassVar[Dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding [
ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>, 'config': {'title': 'AxisDirectionPair'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>>]}, 'ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:94092195755632', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'axis': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.axis.Axis:94092193081312', 'type': 'definition-ref'}, 'type': 'model-field'}, 'direction': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.direction.Direction:94092195753072', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'AxisDirectionPair', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <enum 'Axis'>, 'members': [Axis.Y, Axis.Z], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.axis.Axis:94092193081312', 'sub_type': 'str', 'type': 'enum'}, {'cls': <enum 'Direction'>, 'members': [Direction.POSITIVE, Direction.NEGATIVE], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.direction.Direction:94092195753072', 'sub_type': 'str', 'type': 'enum'}, {'cls': <class 'kittycad.models.system.System'>, 'config': {'title': 'System'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.system.System'>>]}, 'ref': 'kittycad.models.system.System:94092195761664', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'forward': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:94092195755632', 'type': 'definition-ref'}, 'type': 'model-field'}, 'up': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:94092195755632', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'System', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <enum 'UnitLength'>, 'members': [UnitLength.CM, UnitLength.FT, UnitLength.IN, UnitLength.M, UnitLength.MM, UnitLength.YD], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_length.UnitLength:94092190564816', 'sub_type': 'str', 'type': 'enum'}, {'cls': <class 'kittycad.models.selection.OptionDefaultScene'>, 'config': {'title': 'OptionDefaultScene'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.OptionDefaultScene'>>]}, 'ref': 'kittycad.models.selection.OptionDefaultScene:94092191890560', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'type': {'metadata': {}, 'schema': {'default': 'default_scene', 'schema': {'expected': ['default_scene'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionDefaultScene', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'kittycad.models.selection.OptionSceneByIndex'>, 'config': {'title': 'OptionSceneByIndex'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.OptionSceneByIndex'>>]}, 'ref': 'kittycad.models.selection.OptionSceneByIndex:94092191887728', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'index': {'metadata': {}, 'schema': {'type': 'int'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'scene_by_index', 'schema': {'expected': ['scene_by_index'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionSceneByIndex', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'kittycad.models.selection.OptionSceneByName'>, 'config': {'title': 'OptionSceneByName'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.OptionSceneByName'>>]}, 'ref': 'kittycad.models.selection.OptionSceneByName:94092191873328', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'name': {'metadata': {}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'scene_by_name', 'schema': {'expected': ['scene_by_name'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionSceneByName', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'kittycad.models.selection.OptionMeshByIndex'>, 'config': {'title': 'OptionMeshByIndex'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.OptionMeshByIndex'>>]}, 'ref': 'kittycad.models.selection.OptionMeshByIndex:94092191894352', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'index': {'metadata': {}, 'schema': {'type': 'int'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'mesh_by_index', 'schema': {'expected': ['mesh_by_index'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionMeshByIndex', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'kittycad.models.selection.OptionMeshByName'>, 'config': {'title': 'OptionMeshByName'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.OptionMeshByName'>>]}, 'ref': 'kittycad.models.selection.OptionMeshByName:94092191902608', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'name': {'metadata': {}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'mesh_by_name', 'schema': {'expected': ['mesh_by_name'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionMeshByName', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'pydantic.root_model.RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]"}, 'custom_init': False, 'generic_origin': <class 'pydantic.root_model.RootModel'>, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'pydantic.root_model.RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:94092193072080[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:140546161288896]", 'root_model': True, 'schema': {'choices': {'default_scene': {'schema_ref': 'kittycad.models.selection.OptionDefaultScene:94092191890560', 'type': 'definition-ref'}, 'mesh_by_index': {'schema_ref': 'kittycad.models.selection.OptionMeshByIndex:94092191894352', 'type': 'definition-ref'}, 'mesh_by_name': {'schema_ref': 'kittycad.models.selection.OptionMeshByName:94092191902608', 'type': 'definition-ref'}, 'scene_by_index': {'schema_ref': 'kittycad.models.selection.OptionSceneByIndex:94092191887728', 'type': 'definition-ref'}, 'scene_by_name': {'schema_ref': 'kittycad.models.selection.OptionSceneByName:94092191873328', 'type': 'definition-ref'}}, 'discriminator': 'type', 'from_attributes': True, 'metadata': {}, 'strict': False, 'type': 'tagged-union'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.async_api_call_output.OptionFileConversion'>, 'config': {'title': 'OptionFileConversion'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.OptionFileConversion'>>]}, 'ref': 'kittycad.models.async_api_call_output.OptionFileConversion:94092196015104', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'completed_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'error': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'output_format': {'metadata': {}, 'schema': {'cls': <enum 'FileExportFormat'>, 'members': [FileExportFormat.FBX, FileExportFormat.GLB, FileExportFormat.GLTF, FileExportFormat.OBJ, FileExportFormat.PLY, FileExportFormat.STEP, FileExportFormat.STL], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_export_format.FileExportFormat:94092193076288', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'output_format_options': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'cls': <class 'pydantic.root_model.RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]"}, 'custom_init': False, 'generic_origin': <class 'pydantic.root_model.RootModel'>, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'pydantic.root_model.RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:94092193072080[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:140546166453216]", 'root_model': True, 'schema': {'choices': {'fbx': {'cls': <class 'kittycad.models.output_format.OptionFbx'>, 'config': {'title': 'OptionFbx'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.output_format.OptionFbx'>>]}, 'ref': 'kittycad.models.output_format.OptionFbx:94092192293760', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'storage': {'metadata': {}, 'schema': {'cls': <enum 'FbxStorage'>, 'members': [FbxStorage.ASCII, FbxStorage.BINARY], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.fbx_storage.FbxStorage:94092192269056', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'fbx', 'schema': {'expected': ['fbx'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionFbx', 'type': 'model-fields'}, 'type': 'model'}, 'gltf': {'cls': <class 'kittycad.models.output_format.OptionGltf'>, 'config': {'title': 'OptionGltf'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.output_format.OptionGltf'>>]}, 'ref': 'kittycad.models.output_format.OptionGltf:94092192304144', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'presentation': {'metadata': {}, 'schema': {'cls': <enum 'GltfPresentation'>, 'members': [GltfPresentation.COMPACT, GltfPresentation.PRETTY], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.gltf_presentation.GltfPresentation:94092191863584', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'storage': {'metadata': {}, 'schema': {'cls': <enum 'GltfStorage'>, 'members': [GltfStorage.BINARY, GltfStorage.STANDARD, GltfStorage.EMBEDDED], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.gltf_storage.GltfStorage:94092191865360', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'gltf', 'schema': {'expected': ['gltf'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionGltf', 'type': 'model-fields'}, 'type': 'model'}, 'obj': {'cls': <class 'kittycad.models.output_format.OptionObj'>, 'config': {'title': 'OptionObj'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.output_format.OptionObj'>>]}, 'ref': 'kittycad.models.output_format.OptionObj:94092192321088', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'coords': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.system.System:94092195761664', 'type': 'definition-ref'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'obj', 'schema': {'expected': ['obj'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'units': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.unit_length.UnitLength:94092190564816', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'OptionObj', 'type': 'model-fields'}, 'type': 'model'}, 'ply': {'cls': <class 'kittycad.models.output_format.OptionPly'>, 'config': {'title': 'OptionPly'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.output_format.OptionPly'>>]}, 'ref': 'kittycad.models.output_format.OptionPly:94092192344192', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'coords': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.system.System:94092195761664', 'type': 'definition-ref'}, 'type': 'model-field'}, 'selection': {'metadata': {}, 'schema': {'schema_ref': "pydantic.root_model.RootModel:94092193072080[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:140546161288896]", 'type': 'definition-ref'}, 'type': 'model-field'}, 'storage': {'metadata': {}, 'schema': {'cls': <enum 'PlyStorage'>, 'members': [PlyStorage.ASCII, PlyStorage.BINARY_LITTLE_ENDIAN, PlyStorage.BINARY_BIG_ENDIAN], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.ply_storage.PlyStorage:94092191883888', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'ply', 'schema': {'expected': ['ply'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'units': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.unit_length.UnitLength:94092190564816', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'OptionPly', 'type': 'model-fields'}, 'type': 'model'}, 'step': {'cls': <class 'kittycad.models.output_format.OptionStep'>, 'config': {'title': 'OptionStep'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.output_format.OptionStep'>>]}, 'ref': 'kittycad.models.output_format.OptionStep:94092195637856', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'coords': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.system.System:94092195761664', 'type': 'definition-ref'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'step', 'schema': {'expected': ['step'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionStep', 'type': 'model-fields'}, 'type': 'model'}, 'stl': {'cls': <class 'kittycad.models.output_format.OptionStl'>, 'config': {'title': 'OptionStl'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.output_format.OptionStl'>>]}, 'ref': 'kittycad.models.output_format.OptionStl:94092195659296', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'coords': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.system.System:94092195761664', 'type': 'definition-ref'}, 'type': 'model-field'}, 'selection': {'metadata': {}, 'schema': {'schema_ref': "pydantic.root_model.RootModel:94092193072080[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:140546161288896]", 'type': 'definition-ref'}, 'type': 'model-field'}, 'storage': {'metadata': {}, 'schema': {'cls': <enum 'StlStorage'>, 'members': [StlStorage.ASCII, StlStorage.BINARY], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.stl_storage.StlStorage:94092192317872', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'stl', 'schema': {'expected': ['stl'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'units': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.unit_length.UnitLength:94092190564816', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'OptionStl', 'type': 'model-fields'}, 'type': 'model'}}, 'discriminator': 'type', 'from_attributes': True, 'metadata': {}, 'strict': False, 'type': 'tagged-union'}, 'type': 'model'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'outputs': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'keys_schema': {'type': 'str'}, 'type': 'dict', 'values_schema': {'function': {'function': <bound method Base64Data.validate of <class 'kittycad.models.base64data.Base64Data'>>, 'type': 'no-info'}, 'schema': {'choices': [{'type': 'str'}, {'type': 'bytes'}], 'type': 'union'}, 'serialization': {'function': <bound method Base64Data.serialize of <class 'kittycad.models.base64data.Base64Data'>>, 'type': 'function-plain'}, 'type': 'function-after'}}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'src_format': {'metadata': {}, 'schema': {'cls': <enum 'FileImportFormat'>, 'members': [FileImportFormat.FBX, FileImportFormat.GLTF, FileImportFormat.OBJ, FileImportFormat.PLY, FileImportFormat.SLDPRT, FileImportFormat.STEP, FileImportFormat.STL], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_import_format.FileImportFormat:94092193082944', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'src_format_options': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'cls': <class 'pydantic.root_model.RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]"}, 'custom_init': False, 'generic_origin': <class 'pydantic.root_model.RootModel'>, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'pydantic.root_model.RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:94092193072080[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:140546161283280]", 'root_model': True, 'schema': {'choices': {'fbx': {'cls': <class 'kittycad.models.input_format.OptionFbx'>, 'config': {'title': 'OptionFbx'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.OptionFbx'>>]}, 'ref': 'kittycad.models.input_format.OptionFbx:94092190561440', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'type': {'metadata': {}, 'schema': {'default': 'fbx', 'schema': {'expected': ['fbx'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionFbx', 'type': 'model-fields'}, 'type': 'model'}, 'gltf': {'cls': <class 'kittycad.models.input_format.OptionGltf'>, 'config': {'title': 'OptionGltf'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.OptionGltf'>>]}, 'ref': 'kittycad.models.input_format.OptionGltf:94092193098880', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'type': {'metadata': {}, 'schema': {'default': 'gltf', 'schema': {'expected': ['gltf'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionGltf', 'type': 'model-fields'}, 'type': 'model'}, 'obj': {'cls': <class 'kittycad.models.input_format.OptionObj'>, 'config': {'title': 'OptionObj'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.OptionObj'>>]}, 'ref': 'kittycad.models.input_format.OptionObj:94092193086080', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'coords': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.system.System:94092195761664', 'type': 'definition-ref'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'obj', 'schema': {'expected': ['obj'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'units': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.unit_length.UnitLength:94092190564816', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'OptionObj', 'type': 'model-fields'}, 'type': 'model'}, 'ply': {'cls': <class 'kittycad.models.input_format.OptionPly'>, 'config': {'title': 'OptionPly'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.OptionPly'>>]}, 'ref': 'kittycad.models.input_format.OptionPly:94092190494432', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'coords': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.system.System:94092195761664', 'type': 'definition-ref'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'ply', 'schema': {'expected': ['ply'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'units': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.unit_length.UnitLength:94092190564816', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'OptionPly', 'type': 'model-fields'}, 'type': 'model'}, 'sldprt': {'cls': <class 'kittycad.models.input_format.OptionSldprt'>, 'config': {'title': 'OptionSldprt'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.OptionSldprt'>>]}, 'ref': 'kittycad.models.input_format.OptionSldprt:94092190516096', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'split_closed_faces': {'metadata': {}, 'schema': {'default': False, 'schema': {'type': 'bool'}, 'type': 'default'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'sldprt', 'schema': {'expected': ['sldprt'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionSldprt', 'type': 'model-fields'}, 'type': 'model'}, 'step': {'cls': <class 'kittycad.models.input_format.OptionStep'>, 'config': {'title': 'OptionStep'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.OptionStep'>>]}, 'ref': 'kittycad.models.input_format.OptionStep:94092190526624', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'split_closed_faces': {'metadata': {}, 'schema': {'default': False, 'schema': {'type': 'bool'}, 'type': 'default'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'step', 'schema': {'expected': ['step'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionStep', 'type': 'model-fields'}, 'type': 'model'}, 'stl': {'cls': <class 'kittycad.models.input_format.OptionStl'>, 'config': {'title': 'OptionStl'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.OptionStl'>>]}, 'ref': 'kittycad.models.input_format.OptionStl:94092190535824', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'coords': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.system.System:94092195761664', 'type': 'definition-ref'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'stl', 'schema': {'expected': ['stl'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'units': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.unit_length.UnitLength:94092190564816', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'OptionStl', 'type': 'model-fields'}, 'type': 'model'}}, 'discriminator': 'type', 'from_attributes': True, 'metadata': {}, 'strict': False, 'type': 'tagged-union'}, 'type': 'model'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'started_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:94092195505552', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'file_conversion', 'schema': {'expected': ['file_conversion'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'OptionFileConversion', '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__andModel.__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__: ClassVar[Dict[str, FieldInfo]] = {'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'output_format': FieldInfo(annotation=FileExportFormat, required=True), 'output_format_options': FieldInfo(annotation=Union[RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], NoneType], required=False, default=None), 'outputs': FieldInfo(annotation=Union[Dict[str, Base64Data], NoneType], required=False, default=None), 'src_format': FieldInfo(annotation=FileImportFormat, required=True), 'src_format_options': FieldInfo(annotation=Union[RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], NoneType], required=False, default=None), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['file_conversion'], required=False, default='file_conversion'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
A dictionary of field names and their corresponding [
FieldInfo][pydantic.fields.FieldInfo] objects. This replacesModel.__fields__from Pydantic V1.
- __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 byModelMetaclassonly after the class is actually fully initialized. In particular, attributes likemodel_fieldswill be present when this is called.This is necessary because
__init_subclass__will always be called bytype.__new__, and it would require a prohibitively large refactor to theModelMetaclassto ensure thattype.__new__was called in such a manner that the class would already be sufficiently initialized.This will receive the same
kwargsthat would be passed to the standard__init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.
- __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( 0x000055938beb6c00, ), serializer: Fields( GeneralFieldsSerializer { fields: { "created_at": SerField { key_py: Py( 0x00007fd373601430, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007fd3735f1ff0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007fd3735f1e70, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007fd3741451a0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007fd377e22030, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938be3a590, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007fd377d7b040, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007fd377e1f3d0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "output_format": SerField { key_py: Py( 0x00007fd37414c870, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bbe9440, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "outputs": SerField { key_py: Py( 0x00007fd3740487e0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Dict( DictSerializer { key_serializer: Str( StrSerializer, ), value_serializer: Function( FunctionPlainSerializer { func: Py( 0x00007fd373f35c40, ), name: "plain_function[serialize]", function_name: "serialize", return_serializer: Any( AnySerializer, ), fallback_serializer: None, when_used: Always, is_field_serializer: false, info_arg: false, }, ), filter: SchemaFilter { include: None, exclude: None, }, name: "dict[str, plain_function[serialize]]", }, ), }, ), }, ), ), required: true, }, "src_format": SerField { key_py: Py( 0x00007fd3737ecbf0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bbeae40, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd3746af230, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "file_conversion", }, expected_py: None, name: "literal['file_conversion']", }, ), }, ), ), required: true, }, "output_format_options": SerField { key_py: Py( 0x00007fd3737ecc70, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Model( ModelSerializer { class: Py( 0x000055938bd64f60, ), serializer: TaggedUnion( TaggedUnionSerializer { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007fd377e22880, ), path: LookupPath( [ S( "type", Py( 0x00007fd377e22880, ), ), ], ), }, ), lookup: { "gltf": 1, "fbx": 0, "step": 4, "ply": 3, "obj": 2, "stl": 5, }, choices: [ Model( ModelSerializer { class: Py( 0x000055938bb2a380, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd374147900, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "fbx", }, expected_py: None, name: "literal['fbx']", }, ), }, ), ), required: true, }, "storage": SerField { key_py: Py( 0x00007fd375debe10, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bb24300, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), 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: "OptionFbx", }, ), Model( ModelSerializer { class: Py( 0x000055938bb2cc10, ), serializer: Fields( GeneralFieldsSerializer { fields: { "presentation": SerField { key_py: Py( 0x00007fd373ef1db0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bac1320, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "storage": SerField { key_py: Py( 0x00007fd375debe10, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bac1a10, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd374147ae0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "gltf", }, expected_py: None, name: "literal['gltf']", }, ), }, ), ), 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: "OptionGltf", }, ), Model( ModelSerializer { class: Py( 0x000055938bb30e40, ), serializer: Fields( GeneralFieldsSerializer { fields: { "coords": SerField { key_py: Py( 0x00007fd374048630, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377e20a40, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "obj", }, expected_py: None, name: "literal['obj']", }, ), }, ), ), required: true, }, "units": SerField { key_py: Py( 0x00007fd376bfafa0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: false, }, ), ), 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: "OptionObj", }, ), Model( ModelSerializer { class: Py( 0x000055938bb36880, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd374147cc0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "ply", }, expected_py: None, name: "literal['ply']", }, ), }, ), ), required: true, }, "selection": SerField { key_py: Py( 0x00007fd37414e270, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "coords": SerField { key_py: Py( 0x00007fd374048630, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "units": SerField { key_py: Py( 0x00007fd376bfafa0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: false, }, ), ), required: true, }, "storage": SerField { key_py: Py( 0x00007fd375debe10, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bac6270, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 5, }, ), has_extra: false, root_model: false, name: "OptionPly", }, ), Model( ModelSerializer { class: Py( 0x000055938be5aa60, ), serializer: Fields( GeneralFieldsSerializer { fields: { "coords": SerField { key_py: Py( 0x00007fd374048630, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377e220f0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "step", }, expected_py: None, name: "literal['step']", }, ), }, ), ), 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: "OptionStep", }, ), Model( ModelSerializer { class: Py( 0x000055938be5fe20, ), serializer: Fields( GeneralFieldsSerializer { fields: { "storage": SerField { key_py: Py( 0x00007fd375debe10, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bb301b0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "units": SerField { key_py: Py( 0x00007fd376bfafa0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: false, }, ), ), required: true, }, "coords": SerField { key_py: Py( 0x00007fd374048630, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "selection": SerField { key_py: Py( 0x00007fd37414e270, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd374147ed0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "stl", }, expected_py: None, name: "literal['stl']", }, ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 5, }, ), has_extra: false, root_model: false, name: "OptionStl", }, ), ], name: "TaggedUnion[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl]", }, ), has_extra: false, root_model: true, name: "RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), }, ), }, ), ), required: true, }, "src_format_options": SerField { key_py: Py( 0x00007fd3737ecbb0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Model( ModelSerializer { class: Py( 0x000055938bd8f610, ), serializer: TaggedUnion( TaggedUnionSerializer { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007fd377e22880, ), path: LookupPath( [ S( "type", Py( 0x00007fd377e22880, ), ), ], ), }, ), lookup: { "fbx": 0, "gltf": 1, "obj": 2, "step": 5, "stl": 6, "sldprt": 4, "ply": 3, }, choices: [ Model( ModelSerializer { class: Py( 0x000055938b9834a0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd374147900, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "fbx", }, expected_py: None, name: "literal['fbx']", }, ), }, ), ), 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: "OptionFbx", }, ), Model( ModelSerializer { class: Py( 0x000055938bbeec80, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd374147ae0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "gltf", }, expected_py: None, name: "literal['gltf']", }, ), }, ), ), 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: "OptionGltf", }, ), Model( ModelSerializer { class: Py( 0x000055938bbeba80, ), serializer: Fields( GeneralFieldsSerializer { fields: { "coords": SerField { key_py: Py( 0x00007fd374048630, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377e20a40, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "obj", }, expected_py: None, name: "literal['obj']", }, ), }, ), ), required: true, }, "units": SerField { key_py: Py( 0x00007fd376bfafa0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: false, }, ), ), 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: "OptionObj", }, ), Model( ModelSerializer { class: Py( 0x000055938b972ee0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd374147cc0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "ply", }, expected_py: None, name: "literal['ply']", }, ), }, ), ), required: true, }, "coords": SerField { key_py: Py( 0x00007fd374048630, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "units": SerField { key_py: Py( 0x00007fd376bfafa0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: false, }, ), ), 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: "OptionPly", }, ), Model( ModelSerializer { class: Py( 0x000055938b978380, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd374147f90, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "sldprt", }, expected_py: None, name: "literal['sldprt']", }, ), }, ), ), required: true, }, "split_closed_faces": SerField { key_py: Py( 0x00007fd374139a70, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d16d20, ), ), serializer: 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: "OptionSldprt", }, ), Model( ModelSerializer { class: Py( 0x000055938b97aca0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "split_closed_faces": SerField { key_py: Py( 0x00007fd374139a70, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d16d20, ), ), serializer: Bool( BoolSerializer, ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377e220f0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "step", }, expected_py: None, name: "literal['step']", }, ), }, ), ), 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: "OptionStep", }, ), Model( ModelSerializer { class: Py( 0x000055938b97d090, ), serializer: Fields( GeneralFieldsSerializer { fields: { "coords": SerField { key_py: Py( 0x00007fd374048630, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd374147ed0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "stl", }, expected_py: None, name: "literal['stl']", }, ), }, ), ), required: true, }, "units": SerField { key_py: Py( 0x00007fd376bfafa0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: false, }, ), ), 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: "OptionStl", }, ), ], name: "TaggedUnion[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl]", }, ), has_extra: false, root_model: true, name: "RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), }, ), }, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007fd373601470, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 14, }, ), has_extra: false, root_model: false, name: "OptionFileConversion", }, ), definitions=[Model(ModelSerializer { class: Py(0x55938bac8b50), serializer: Fields(GeneralFieldsSerializer { fields: {"type": SerField { key_py: Py(0x7fd377e22880), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7fd3740be330)), serializer: Literal(LiteralSerializer { expected_int: {}, expected_str: {"mesh_by_index"}, expected_py: None, name: "literal['mesh_by_index']" }) })), required: true }, "index": SerField { key_py: Py(0x7fd377de0cc0), alias: None, alias_py: None, serializer: Some(Int(IntSerializer)), 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: "OptionMeshByIndex" }), Model(ModelSerializer { class: Py(0x55938bac7170), serializer: Fields(GeneralFieldsSerializer { fields: {"index": SerField { key_py: Py(0x7fd377de0cc0), alias: None, alias_py: None, serializer: Some(Int(IntSerializer)), required: true }, "type": SerField { key_py: Py(0x7fd377e22880), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7fd373ef33f0)), serializer: Literal(LiteralSerializer { expected_int: {}, expected_str: {"scene_by_index"}, expected_py: None, name: "literal['scene_by_index']" }) })), 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: "OptionSceneByIndex" }), Model(ModelSerializer { class: Py(0x55938bac7c80), serializer: Fields(GeneralFieldsSerializer { fields: {"type": SerField { key_py: Py(0x7fd377e22880), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7fd373ef1e70)), serializer: Literal(LiteralSerializer { expected_int: {}, expected_str: {"default_scene"}, expected_py: None, name: "literal['default_scene']" }) })), 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: "OptionDefaultScene" }), Enum(EnumSerializer { class: Py(0x55938b9841d0), serializer: Some(Str(StrSerializer)) }), Model(ModelSerializer { class: Py(0x55938bacab90), serializer: Fields(GeneralFieldsSerializer { fields: {"type": SerField { key_py: Py(0x7fd377e22880), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7fd3740bf330)), serializer: Literal(LiteralSerializer { expected_int: {}, expected_str: {"mesh_by_name"}, expected_py: None, name: "literal['mesh_by_name']" }) })), required: true }, "name": SerField { key_py: Py(0x7fd377e20668), 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: 2 }), has_extra: false, root_model: false, name: "OptionMeshByName" }), Enum(EnumSerializer { class: Py(0x55938bbea7e0), serializer: Some(Str(StrSerializer)) }), Model(ModelSerializer { class: Py(0x55938be77670), serializer: Fields(GeneralFieldsSerializer { fields: {"direction": SerField { key_py: Py(0x7fd3769694f0), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: false })), required: true }, "axis": SerField { key_py: Py(0x7fd374509380), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: false })), 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: "AxisDirectionPair" }), Model(ModelSerializer { class: Py(0x55938be78e00), serializer: Fields(GeneralFieldsSerializer { fields: {"up": SerField { key_py: Py(0x7fd376481350), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true })), required: true }, "forward": SerField { key_py: Py(0x7fd37441edf0), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true })), 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: "System" }), Enum(EnumSerializer { class: Py(0x55938be76c70), serializer: Some(Str(StrSerializer)) }), Model(ModelSerializer { class: Py(0x55938bacd8c0), serializer: TaggedUnion(TaggedUnionSerializer { discriminator: LookupKey(Simple { key: "type", py_key: Py(0x7fd377e22880), path: LookupPath([S("type", Py(0x7fd377e22880))]) }), lookup: {"mesh_by_name": 4, "mesh_by_index": 3, "default_scene": 0, "scene_by_index": 1, "scene_by_name": 2}, 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 }), Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true }), Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true })], name: "TaggedUnion[definition-ref, definition-ref, definition-ref, definition-ref, definition-ref]" }), has_extra: false, root_model: true, name: "RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]" }), Model(ModelSerializer { class: Py(0x55938bac3930), serializer: Fields(GeneralFieldsSerializer { fields: {"name": SerField { key_py: Py(0x7fd377e20668), alias: None, alias_py: None, serializer: Some(Str(StrSerializer)), required: true }, "type": SerField { key_py: Py(0x7fd377e22880), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7fd373ef30f0)), serializer: Literal(LiteralSerializer { expected_int: {}, expected_str: {"scene_by_name"}, expected_py: None, name: "literal['scene_by_name']" }) })), 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: "OptionSceneByName" })])[source]
The
pydantic-coreSchemaSerializerused to dump instances of the model.
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="OptionFileConversion", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007fd37361d630, ), path: LookupPath( [ S( "completed_at", Py( 0x00007fd37361d670, ), ), ], ), }, name_py: Py( 0x00007fd373601470, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007fd37361d6b0, ), path: LookupPath( [ S( "created_at", Py( 0x00007fd37361d6f0, ), ), ], ), }, name_py: Py( 0x00007fd373601430, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007fd374146490, ), path: LookupPath( [ S( "error", Py( 0x00007fd374145080, ), ), ], ), }, name_py: Py( 0x00007fd377d7b040, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), 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( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007fd374143b10, ), path: LookupPath( [ S( "id", Py( 0x00007fd374048180, ), ), ], ), }, name_py: Py( 0x00007fd377e1f3d0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd373799c00, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "output_format", lookup_key: Simple { key: "output_format", py_key: Py( 0x00007fd37361d730, ), path: LookupPath( [ S( "output_format", Py( 0x00007fd37361d770, ), ), ], ), }, name_py: Py( 0x00007fd37414c870, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bbe9440, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "obj": 3, "fbx": 0, "ply": 4, "glb": 1, "gltf": 2, "step": 5, "stl": 6, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361d600, ), ), values: [ Py( 0x00007fd37380ebd0, ), Py( 0x00007fd37380ec30, ), Py( 0x00007fd37380ec90, ), Py( 0x00007fd37380ecf0, ), Py( 0x00007fd37380ed50, ), Py( 0x00007fd37380edb0, ), Py( 0x00007fd37380ee10, ), ], }, missing: None, expected_repr: "'fbx', 'glb', 'gltf', 'obj', 'ply', 'step' or 'stl'", strict: false, class_repr: "FileExportFormat", name: "str-enum[FileExportFormat]", }, ), frozen: false, }, Field { name: "output_format_options", lookup_key: Simple { key: "output_format_options", py_key: Py( 0x00007fd37361dc70, ), path: LookupPath( [ S( "output_format_options", Py( 0x00007fd37361dcb0, ), ), ], ), }, name_py: Py( 0x00007fd3737ecc70, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Model( ModelValidator { revalidate: Never, validator: TaggedUnion( TaggedUnionValidator { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007fd377e22880, ), path: LookupPath( [ S( "type", Py( 0x00007fd377e22880, ), ), ], ), }, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "ply": 3, "step": 4, "stl": 5, "fbx": 0, "obj": 2, "gltf": 1, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361dc00, ), ), values: [ Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "storage", lookup_key: Simple { key: "storage", py_key: Py( 0x00007fd37404ab20, ), path: LookupPath( [ S( "storage", Py( 0x00007fd374049890, ), ), ], ), }, name_py: Py( 0x00007fd375debe10, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bb24300, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "ascii": 0, "binary": 1, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361d800, ), ), values: [ Py( 0x00007fd3737c46b0, ), Py( 0x00007fd3737c4830, ), ], }, missing: None, expected_repr: "'ascii' or 'binary'", strict: false, class_repr: "FbxStorage", name: "str-enum[FbxStorage]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd37404ad60, ), path: LookupPath( [ S( "type", Py( 0x00007fd37404bc60, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd374147900, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "fbx": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361d840, ), ), values: [ Py( 0x00007fd374147900, ), ], }, expected_repr: "'fbx'", name: "literal['fbx']", }, ), validate_default: false, copy_default: false, name: "default[literal['fbx']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, ], model_name: "OptionFbx", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938bb2a380, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionFbx", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "presentation", lookup_key: Simple { key: "presentation", py_key: Py( 0x00007fd37361d8f0, ), path: LookupPath( [ S( "presentation", Py( 0x00007fd37361d8b0, ), ), ], ), }, name_py: Py( 0x00007fd373ef1db0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bac1320, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "pretty": 1, "compact": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361d880, ), ), values: [ Py( 0x00007fd3737c48f0, ), Py( 0x00007fd3737c49b0, ), ], }, missing: None, expected_repr: "'compact' or 'pretty'", strict: false, class_repr: "GltfPresentation", name: "str-enum[GltfPresentation]", }, ), frozen: false, }, Field { name: "storage", lookup_key: Simple { key: "storage", py_key: Py( 0x00007fd3740496b0, ), path: LookupPath( [ S( "storage", Py( 0x00007fd374049ce0, ), ), ], ), }, name_py: Py( 0x00007fd375debe10, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bac1a10, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "binary": 0, "standard": 1, "embedded": 2, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361d940, ), ), values: [ Py( 0x00007fd3737c4a70, ), Py( 0x00007fd3737c4b30, ), Py( 0x00007fd3737c4bf0, ), ], }, missing: None, expected_repr: "'binary', 'standard' or 'embedded'", strict: false, class_repr: "GltfStorage", name: "str-enum[GltfStorage]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd374d66d90, ), path: LookupPath( [ S( "type", Py( 0x00007fd374054030, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd374147ae0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "gltf": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361d980, ), ), values: [ Py( 0x00007fd374147ae0, ), ], }, expected_repr: "'gltf'", name: "literal['gltf']", }, ), validate_default: false, copy_default: false, name: "default[literal['gltf']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, ], model_name: "OptionGltf", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938bb2cc10, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionGltf", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007fd3740542d0, ), path: LookupPath( [ S( "coords", Py( 0x00007fd374054060, ), ), ], ), }, name_py: Py( 0x00007fd374048630, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd374054090, ), path: LookupPath( [ S( "type", Py( 0x00007fd374057f30, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377e20a40, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "obj": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361d9c0, ), ), values: [ Py( 0x00007fd377e20a40, ), ], }, expected_repr: "'obj'", name: "literal['obj']", }, ), validate_default: false, copy_default: false, name: "default[literal['obj']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007fd374054390, ), path: LookupPath( [ S( "units", Py( 0x00007fd374054270, ), ), ], ), }, name_py: Py( 0x00007fd376bfafa0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "OptionObj", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938bb30e40, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionObj", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007fd374054240, ), path: LookupPath( [ S( "coords", Py( 0x00007fd374054150, ), ), ], ), }, name_py: Py( 0x00007fd374048630, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "selection", lookup_key: Simple { key: "selection", py_key: Py( 0x00007fd37361d9f0, ), path: LookupPath( [ S( "selection", Py( 0x00007fd37361da30, ), ), ], ), }, name_py: Py( 0x00007fd37414e270, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "storage", lookup_key: Simple { key: "storage", py_key: Py( 0x00007fd3740541e0, ), path: LookupPath( [ S( "storage", Py( 0x00007fd3740540c0, ), ), ], ), }, name_py: Py( 0x00007fd375debe10, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bac6270, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "binary_big_endian": 2, "binary_little_endian": 1, "ascii": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361da80, ), ), values: [ Py( 0x00007fd3737c4c50, ), Py( 0x00007fd3737c4cb0, ), Py( 0x00007fd3737c4d10, ), ], }, missing: None, expected_repr: "'ascii', 'binary_little_endian' or 'binary_big_endian'", strict: false, class_repr: "PlyStorage", name: "str-enum[PlyStorage]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd3740540f0, ), path: LookupPath( [ S( "type", Py( 0x00007fd374054180, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd374147cc0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "ply": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361dac0, ), ), values: [ Py( 0x00007fd374147cc0, ), ], }, expected_repr: "'ply'", name: "literal['ply']", }, ), validate_default: false, copy_default: false, name: "default[literal['ply']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007fd374054480, ), path: LookupPath( [ S( "units", Py( 0x00007fd3740542a0, ), ), ], ), }, name_py: Py( 0x00007fd376bfafa0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "OptionPly", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938bb36880, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionPly", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007fd374054210, ), path: LookupPath( [ S( "coords", Py( 0x00007fd3740541b0, ), ), ], ), }, name_py: Py( 0x00007fd374048630, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd3740545a0, ), path: LookupPath( [ S( "type", Py( 0x00007fd374054540, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377e220f0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "step": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361db00, ), ), values: [ Py( 0x00007fd377e220f0, ), ], }, expected_repr: "'step'", name: "literal['step']", }, ), validate_default: false, copy_default: false, name: "default[literal['step']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, ], model_name: "OptionStep", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938be5aa60, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionStep", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007fd3740545d0, ), path: LookupPath( [ S( "coords", Py( 0x00007fd374054600, ), ), ], ), }, name_py: Py( 0x00007fd374048630, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "selection", lookup_key: Simple { key: "selection", py_key: Py( 0x00007fd37361db30, ), path: LookupPath( [ S( "selection", Py( 0x00007fd37361db70, ), ), ], ), }, name_py: Py( 0x00007fd37414e270, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "storage", lookup_key: Simple { key: "storage", py_key: Py( 0x00007fd374054660, ), path: LookupPath( [ S( "storage", Py( 0x00007fd374054690, ), ), ], ), }, name_py: Py( 0x00007fd375debe10, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bb301b0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "binary": 1, "ascii": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361dbc0, ), ), values: [ Py( 0x00007fd3737c5250, ), Py( 0x00007fd3737c52b0, ), ], }, missing: None, expected_repr: "'ascii' or 'binary'", strict: false, class_repr: "StlStorage", name: "str-enum[StlStorage]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd3740546c0, ), path: LookupPath( [ S( "type", Py( 0x00007fd3740546f0, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd374147ed0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "stl": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361dc40, ), ), values: [ Py( 0x00007fd374147ed0, ), ], }, expected_repr: "'stl'", name: "literal['stl']", }, ), validate_default: false, copy_default: false, name: "default[literal['stl']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007fd374054720, ), path: LookupPath( [ S( "units", Py( 0x00007fd374054750, ), ), ], ), }, name_py: Py( 0x00007fd376bfafa0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "OptionStl", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938be5fe20, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionStl", }, ), ], }, from_attributes: true, strict: false, custom_error: None, tags_repr: "'fbx', 'gltf', 'obj', 'ply', 'step', 'stl'", discriminator_repr: "'type'", name: "tagged-union[OptionFbx,OptionGltf,OptionObj,OptionPly,OptionStep,OptionStl]", }, ), class: Py( 0x000055938bd64f60, ), generic_origin: Some( Py( 0x000055938bbe83d0, ), ), post_init: None, frozen: false, custom_init: false, root_model: true, undefined: Py( 0x00007fd375de63d0, ), name: "RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), name: "nullable[RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "outputs", lookup_key: Simple { key: "outputs", py_key: Py( 0x00007fd374054780, ), path: LookupPath( [ S( "outputs", Py( 0x00007fd3740547b0, ), ), ], ), }, name_py: Py( 0x00007fd3740487e0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Dict( DictValidator { strict: false, key_validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), value_validator: FunctionAfter( FunctionAfterValidator { validator: Union( UnionValidator { mode: Smart, choices: [ ( Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), None, ), ( Bytes( BytesValidator { strict: false, bytes_mode: ValBytesMode { ser: Utf8, }, }, ), None, ), ], custom_error: None, strict: false, name: "union[str,bytes]", }, ), func: Py( 0x00007fd373f359c0, ), config: Py( 0x00007fd373799c00, ), name: "function-after[validate(), union[str,bytes]]", field_name: None, info_arg: false, }, ), min_length: None, max_length: None, name: "dict[str,function-after[validate(), union[str,bytes]]]", }, ), name: "nullable[dict[str,function-after[validate(), union[str,bytes]]]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[dict[str,function-after[validate(), union[str,bytes]]]]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "src_format", lookup_key: Simple { key: "src_format", py_key: Py( 0x00007fd37361dcf0, ), path: LookupPath( [ S( "src_format", Py( 0x00007fd37361dd30, ), ), ], ), }, name_py: Py( 0x00007fd3737ecbf0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bbeae40, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "gltf": 1, "sldprt": 4, "step": 5, "obj": 2, "stl": 6, "fbx": 0, "ply": 3, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361d7c0, ), ), values: [ Py( 0x00007fd37380eed0, ), Py( 0x00007fd37380ef30, ), Py( 0x00007fd37380ef90, ), Py( 0x00007fd37380eff0, ), Py( 0x00007fd37380f050, ), Py( 0x00007fd37380f0b0, ), Py( 0x00007fd37380f110, ), ], }, missing: None, expected_repr: "'fbx', 'gltf', 'obj', 'ply', 'sldprt', 'step' or 'stl'", strict: false, class_repr: "FileImportFormat", name: "str-enum[FileImportFormat]", }, ), frozen: false, }, Field { name: "src_format_options", lookup_key: Simple { key: "src_format_options", py_key: Py( 0x00007fd37361e0b0, ), path: LookupPath( [ S( "src_format_options", Py( 0x00007fd37361e0f0, ), ), ], ), }, name_py: Py( 0x00007fd3737ecbb0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Model( ModelValidator { revalidate: Never, validator: TaggedUnion( TaggedUnionValidator { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007fd377e22880, ), path: LookupPath( [ S( "type", Py( 0x00007fd377e22880, ), ), ], ), }, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "step": 5, "ply": 3, "sldprt": 4, "stl": 6, "gltf": 1, "fbx": 0, "obj": 2, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361e080, ), ), values: [ Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd3740547e0, ), path: LookupPath( [ S( "type", Py( 0x00007fd374054810, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd374147900, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "fbx": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361ddc0, ), ), values: [ Py( 0x00007fd374147900, ), ], }, expected_repr: "'fbx'", name: "literal['fbx']", }, ), validate_default: false, copy_default: false, name: "default[literal['fbx']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, ], model_name: "OptionFbx", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938b9834a0, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionFbx", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd374054840, ), path: LookupPath( [ S( "type", Py( 0x00007fd374054870, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd374147ae0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "gltf": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361de00, ), ), values: [ Py( 0x00007fd374147ae0, ), ], }, expected_repr: "'gltf'", name: "literal['gltf']", }, ), validate_default: false, copy_default: false, name: "default[literal['gltf']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, ], model_name: "OptionGltf", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938bbeec80, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionGltf", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007fd3740548a0, ), path: LookupPath( [ S( "coords", Py( 0x00007fd3740548d0, ), ), ], ), }, name_py: Py( 0x00007fd374048630, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd374054900, ), path: LookupPath( [ S( "type", Py( 0x00007fd374054930, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377e20a40, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "obj": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361de40, ), ), values: [ Py( 0x00007fd377e20a40, ), ], }, expected_repr: "'obj'", name: "literal['obj']", }, ), validate_default: false, copy_default: false, name: "default[literal['obj']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007fd374054960, ), path: LookupPath( [ S( "units", Py( 0x00007fd374054990, ), ), ], ), }, name_py: Py( 0x00007fd376bfafa0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "OptionObj", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938bbeba80, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionObj", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007fd3740549c0, ), path: LookupPath( [ S( "coords", Py( 0x00007fd3740549f0, ), ), ], ), }, name_py: Py( 0x00007fd374048630, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd374054a20, ), path: LookupPath( [ S( "type", Py( 0x00007fd374054a50, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd374147cc0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "ply": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361de80, ), ), values: [ Py( 0x00007fd374147cc0, ), ], }, expected_repr: "'ply'", name: "literal['ply']", }, ), validate_default: false, copy_default: false, name: "default[literal['ply']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007fd374054a80, ), path: LookupPath( [ S( "units", Py( 0x00007fd374054ab0, ), ), ], ), }, name_py: Py( 0x00007fd376bfafa0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "OptionPly", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938b972ee0, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionPly", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "split_closed_faces", lookup_key: Simple { key: "split_closed_faces", py_key: Py( 0x00007fd37361deb0, ), path: LookupPath( [ S( "split_closed_faces", Py( 0x00007fd37361df30, ), ), ], ), }, name_py: Py( 0x00007fd374139a70, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d16d20, ), ), on_error: Raise, validator: Bool( BoolValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[bool]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd374054ae0, ), path: LookupPath( [ S( "type", Py( 0x00007fd374054b10, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd374147f90, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "sldprt": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361df00, ), ), values: [ Py( 0x00007fd374147f90, ), ], }, expected_repr: "'sldprt'", name: "literal['sldprt']", }, ), validate_default: false, copy_default: false, name: "default[literal['sldprt']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, ], model_name: "OptionSldprt", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938b978380, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionSldprt", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "split_closed_faces", lookup_key: Simple { key: "split_closed_faces", py_key: Py( 0x00007fd37361df70, ), path: LookupPath( [ S( "split_closed_faces", Py( 0x00007fd37361dfb0, ), ), ], ), }, name_py: Py( 0x00007fd374139a70, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d16d20, ), ), on_error: Raise, validator: Bool( BoolValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[bool]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd374054b40, ), path: LookupPath( [ S( "type", Py( 0x00007fd374054b70, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377e220f0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "step": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361e000, ), ), values: [ Py( 0x00007fd377e220f0, ), ], }, expected_repr: "'step'", name: "literal['step']", }, ), validate_default: false, copy_default: false, name: "default[literal['step']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, ], model_name: "OptionStep", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938b97aca0, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionStep", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007fd374054ba0, ), path: LookupPath( [ S( "coords", Py( 0x00007fd374054bd0, ), ), ], ), }, name_py: Py( 0x00007fd374048630, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd374054c00, ), path: LookupPath( [ S( "type", Py( 0x00007fd374054c30, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd374147ed0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "stl": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361e040, ), ), values: [ Py( 0x00007fd374147ed0, ), ], }, expected_repr: "'stl'", name: "literal['stl']", }, ), validate_default: false, copy_default: false, name: "default[literal['stl']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007fd374054c60, ), path: LookupPath( [ S( "units", Py( 0x00007fd374054c90, ), ), ], ), }, name_py: Py( 0x00007fd376bfafa0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "OptionStl", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938b97d090, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionStl", }, ), ], }, from_attributes: true, strict: false, custom_error: None, tags_repr: "'fbx', 'gltf', 'obj', 'ply', 'sldprt', 'step', 'stl'", discriminator_repr: "'type'", name: "tagged-union[OptionFbx,OptionGltf,OptionObj,OptionPly,OptionSldprt,OptionStep,OptionStl]", }, ), class: Py( 0x000055938bd8f610, ), generic_origin: Some( Py( 0x000055938bbe83d0, ), ), post_init: None, frozen: false, custom_init: false, root_model: true, undefined: Py( 0x00007fd375de63d0, ), name: "RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), name: "nullable[RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "started_at", lookup_key: Simple { key: "started_at", py_key: Py( 0x00007fd37361e130, ), path: LookupPath( [ S( "started_at", Py( 0x00007fd37361e170, ), ), ], ), }, name_py: Py( 0x00007fd3735f1ff0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007fd374054cc0, ), path: LookupPath( [ S( "status", Py( 0x00007fd374054cf0, ), ), ], ), }, name_py: Py( 0x00007fd377e22030, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938be3a590, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "queued": 0, "in_progress": 2, "completed": 3, "failed": 4, "uploaded": 1, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361dd80, ), ), values: [ Py( 0x00007fd37380d130, ), Py( 0x00007fd37380d190, ), Py( 0x00007fd37380d250, ), Py( 0x00007fd37380d2b0, ), Py( 0x00007fd37380d310, ), ], }, missing: None, expected_repr: "'queued', 'uploaded', 'in_progress', 'completed' or 'failed'", strict: false, class_repr: "ApiCallStatus", name: "str-enum[ApiCallStatus]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd374054d20, ), path: LookupPath( [ S( "type", Py( 0x00007fd374054d50, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd3746af230, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "file_conversion": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361e1c0, ), ), values: [ Py( 0x00007fd3746af230, ), ], }, expected_repr: "'file_conversion'", name: "literal['file_conversion']", }, ), validate_default: false, copy_default: false, name: "default[literal['file_conversion']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007fd37361e1f0, ), path: LookupPath( [ S( "updated_at", Py( 0x00007fd37361e230, ), ), ], ), }, name_py: Py( 0x00007fd3735f1e70, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "user_id", lookup_key: Simple { key: "user_id", py_key: Py( 0x00007fd374054d80, ), path: LookupPath( [ S( "user_id", Py( 0x00007fd374054db0, ), ), ], ), }, name_py: Py( 0x00007fd3741451a0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd373799c00, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "OptionFileConversion", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938beb6c00, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionFileConversion", }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "name", lookup_key: Simple { key: "name", py_key: Py(0x7fd37404ee80), path: LookupPath([S("name", Py(0x7fd37404ebb0))]) }, name_py: Py(0x7fd377e20668), validator: Str(StrValidator { strict: false, coerce_numbers_to_str: false }), frozen: false }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7fd37404ee50), path: LookupPath([S("type", Py(0x7fd37404eeb0))]) }, name_py: Py(0x7fd377e22880), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7fd373ef30f0)), on_error: Raise, validator: Literal(LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"scene_by_name": 0}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7fd37361d500)), values: [Py(0x7fd373ef30f0)] }, expected_repr: "'scene_by_name'", name: "literal['scene_by_name']" }), validate_default: false, copy_default: false, name: "default[literal['scene_by_name']]", undefined: Py(0x7fd375de63d0) }), frozen: false }], model_name: "OptionSceneByName", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x55938bac3930), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7fd375de63d0), name: "OptionSceneByName" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "forward", lookup_key: Simple { key: "forward", py_key: Py(0x7fd37404fea0), path: LookupPath([S("forward", Py(0x7fd37404e760))]) }, name_py: Py(0x7fd37441edf0), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "up", lookup_key: Simple { key: "up", py_key: Py(0x7fd37404ff90), path: LookupPath([S("up", Py(0x7fd37404fed0))]) }, name_py: Py(0x7fd376481350), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }], model_name: "System", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x55938be78e00), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7fd375de63d0), name: "System" }), StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x55938bbea7e0), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"z": 1, "y": 0}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7fd37361d400)), values: [Py(0x7fd37380f530), Py(0x7fd37380f590)] }, missing: None, expected_repr: "'y' or 'z'", strict: false, class_repr: "Axis", name: "str-enum[Axis]" }), StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x55938be76c70), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"positive": 0, "negative": 1}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7fd37361d3c0)), values: [Py(0x7fd37380f6b0), Py(0x7fd37380f710)] }, missing: None, expected_repr: "'positive' or 'negative'", strict: false, class_repr: "Direction", name: "str-enum[Direction]" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "axis", lookup_key: Simple { key: "axis", py_key: Py(0x7fd37404fe40), path: LookupPath([S("axis", Py(0x7fd37404fe70))]) }, name_py: Py(0x7fd374509380), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "direction", lookup_key: Simple { key: "direction", py_key: Py(0x7fd37361d370), path: LookupPath([S("direction", Py(0x7fd37361d330))]) }, name_py: Py(0x7fd3769694f0), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }], model_name: "AxisDirectionPair", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x55938be77670), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7fd375de63d0), name: "AxisDirectionPair" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7fd37404ff60), path: LookupPath([S("type", Py(0x7fd37404e8e0))]) }, name_py: Py(0x7fd377e22880), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7fd373ef1e70)), on_error: Raise, validator: Literal(LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"default_scene": 0}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7fd37361d480)), values: [Py(0x7fd373ef1e70)] }, expected_repr: "'default_scene'", name: "literal['default_scene']" }), validate_default: false, copy_default: false, name: "default[literal['default_scene']]", undefined: Py(0x7fd375de63d0) }), frozen: false }], model_name: "OptionDefaultScene", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x55938bac7c80), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7fd375de63d0), name: "OptionDefaultScene" }), StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x55938b9841d0), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"mm": 4, "ft": 1, "yd": 5, "in": 2, "cm": 0, "m": 3}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7fd37361d440)), values: [Py(0x7fd37380f2f0), Py(0x7fd37380f8f0), Py(0x7fd37380f950), Py(0x7fd37380f890), Py(0x7fd37380fa70), Py(0x7fd37380fad0)] }, missing: None, expected_repr: "'cm', 'ft', 'in', 'm', 'mm' or 'yd'", strict: false, class_repr: "UnitLength", name: "str-enum[UnitLength]" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "name", lookup_key: Simple { key: "name", py_key: Py(0x7fd37404ed60), path: LookupPath([S("name", Py(0x7fd374145e00))]) }, name_py: Py(0x7fd377e20668), validator: Str(StrValidator { strict: false, coerce_numbers_to_str: false }), frozen: false }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7fd374145dd0), path: LookupPath([S("type", Py(0x7fd374147ab0))]) }, name_py: Py(0x7fd377e22880), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7fd3740bf330)), on_error: Raise, validator: Literal(LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"mesh_by_name": 0}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7fd37361d580)), values: [Py(0x7fd3740bf330)] }, expected_repr: "'mesh_by_name'", name: "literal['mesh_by_name']" }), validate_default: false, copy_default: false, name: "default[literal['mesh_by_name']]", undefined: Py(0x7fd375de63d0) }), frozen: false }], model_name: "OptionMeshByName", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x55938bacab90), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7fd375de63d0), name: "OptionMeshByName" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "index", lookup_key: Simple { key: "index", py_key: Py(0x7fd37404ee20), path: LookupPath([S("index", Py(0x7fd37404eee0))]) }, name_py: Py(0x7fd377de0cc0), validator: Int(IntValidator { strict: false }), frozen: false }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7fd37404ed30), path: LookupPath([S("type", Py(0x7fd37404ef10))]) }, name_py: Py(0x7fd377e22880), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7fd3740be330)), on_error: Raise, validator: Literal(LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"mesh_by_index": 0}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7fd37361d540)), values: [Py(0x7fd3740be330)] }, expected_repr: "'mesh_by_index'", name: "literal['mesh_by_index']" }), validate_default: false, copy_default: false, name: "default[literal['mesh_by_index']]", undefined: Py(0x7fd375de63d0) }), frozen: false }], model_name: "OptionMeshByIndex", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x55938bac8b50), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7fd375de63d0), name: "OptionMeshByIndex" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "index", lookup_key: Simple { key: "index", py_key: Py(0x7fd37404edf0), path: LookupPath([S("index", Py(0x7fd37404ecd0))]) }, name_py: Py(0x7fd377de0cc0), validator: Int(IntValidator { strict: false }), frozen: false }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7fd37404e6a0), path: LookupPath([S("type", Py(0x7fd37404ef40))]) }, name_py: Py(0x7fd377e22880), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7fd373ef33f0)), on_error: Raise, validator: Literal(LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"scene_by_index": 0}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7fd37361d4c0)), values: [Py(0x7fd373ef33f0)] }, expected_repr: "'scene_by_index'", name: "literal['scene_by_index']" }), validate_default: false, copy_default: false, name: "default[literal['scene_by_index']]", undefined: Py(0x7fd375de63d0) }), frozen: false }], model_name: "OptionSceneByIndex", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x55938bac7170), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7fd375de63d0), name: "OptionSceneByIndex" }), Model(ModelValidator { revalidate: Never, validator: TaggedUnion(TaggedUnionValidator { discriminator: LookupKey(Simple { key: "type", py_key: Py(0x7fd377e22880), path: LookupPath([S("type", Py(0x7fd377e22880))]) }), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"mesh_by_index": 3, "default_scene": 0, "scene_by_name": 2, "mesh_by_name": 4, "scene_by_index": 1}), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some(Py(0x7fd37361d5c0)), values: [DefinitionRef(DefinitionRefValidator { definition: "OptionDefaultScene" }), DefinitionRef(DefinitionRefValidator { definition: "OptionSceneByIndex" }), DefinitionRef(DefinitionRefValidator { definition: "OptionSceneByName" }), DefinitionRef(DefinitionRefValidator { definition: "OptionMeshByIndex" }), DefinitionRef(DefinitionRefValidator { definition: "OptionMeshByName" })] }, from_attributes: true, strict: false, custom_error: None, tags_repr: "'default_scene', 'scene_by_index', 'scene_by_name', 'mesh_by_index', 'mesh_by_name'", discriminator_repr: "'type'", name: "tagged-union[OptionDefaultScene,OptionSceneByIndex,OptionSceneByName,OptionMeshByIndex,OptionMeshByName]" }), class: Py(0x55938bacd8c0), generic_origin: Some(Py(0x55938bbe83d0)), post_init: None, frozen: false, custom_init: false, root_model: true, undefined: Py(0x7fd375de63d0), name: "RootModel[Annotated[Union[OptionDefaultScene, OptionSceneByIndex, OptionSceneByName, OptionMeshByIndex, OptionMeshByName], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]" })], cache_strings=True)[source]
The
pydantic-coreSchemaValidatorused to validate instances of the model.
- __repr_recursion__(object)[source]
Returns the string representation of a recursive object.
- Return type:
- __rich_repr__()[source]
Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.
- __signature__: ClassVar[Signature] = <Signature (*, completed_at: Optional[datetime.datetime] = None, created_at: datetime.datetime, error: Optional[str] = None, id: kittycad.models.uuid.Uuid, output_format: kittycad.models.file_export_format.FileExportFormat, output_format_options: Optional[pydantic.root_model.RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]] = None, outputs: Optional[Dict[str, kittycad.models.base64data.Base64Data]] = None, src_format: kittycad.models.file_import_format.FileImportFormat, src_format_options: Optional[pydantic.root_model.RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]] = None, started_at: Optional[datetime.datetime] = None, status: kittycad.models.api_call_status.ApiCallStatus, type: Literal['file_conversion'] = 'file_conversion', updated_at: datetime.datetime, user_id: kittycad.models.uuid.Uuid) -> None>[source]
The synthesized
__init__[Signature][inspect.Signature] of the model.
- __slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')[source]
- 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_copyinstead.
If you need
includeorexclude, use:`python {test="skip" lint="skip"} 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.
- dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)[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:
- 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
Modelclass 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 themodel_config.extrasetting on the provided model. That is, ifmodel_config.extra == 'allow', then all extra passed values are added to the model instance’s__dict__and__pydantic_extra__fields. Ifmodel_config.extra == 'ignore'(the default), then all extra passed values are ignored. Because no validation is performed with a call tomodel_construct(), havingmodel_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 thevaluesargument will be used.values (
Any) – Trusted or pre-validated data dictionary.
- Return type:
Self- Returns:
A new instance of the
Modelclass with validated data.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#model_copy
Returns a copy of the model.
- 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/2.10/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 whichto_pythonshould 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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/2.10/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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
Noneifconfig.extrais not set to"allow".
- model_fields: ClassVar[dict[str, FieldInfo]] = {'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'output_format': FieldInfo(annotation=FileExportFormat, required=True), 'output_format_options': FieldInfo(annotation=Union[RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], NoneType], required=False, default=None), 'outputs': FieldInfo(annotation=Union[Dict[str, Base64Data], NoneType], required=False, default=None), 'src_format': FieldInfo(annotation=FileImportFormat, required=True), 'src_format_options': FieldInfo(annotation=Union[RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], NoneType], required=False, default=None), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['file_conversion'], required=False, default='file_conversion'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
- 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 ofGenerateJsonSchemawith your desired modificationsmode (
Literal['validation','serialization']) – The mode in which to generate the schema.
- Return type:
- 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 classModelwith 2 type variables and a concrete modelModel[str, int], the value(str, int)would be passed toparams.- Return type:
- Returns:
String representing the new class where
paramsare passed toclsas 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__andmodel_construct. This is useful if you want to do some validation that requires the entire model to be initialized.- Return type:
- 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 toFalse.raise_errors (
bool) – Whether to raise errors, defaults toTrue._parent_namespace_depth (
int) – The depth level of the parent namespace, defaults to 2._types_namespace (
Optional[Mapping[str,Any]]) – The types namespace, defaults toNone.
- Return type:
- Returns:
Returns
Noneif the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returnsTrueif rebuilding was successful, otherwiseFalse.
- classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)[source]
Validate a pydantic model instance.
- Parameters:
- 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/2.10/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValidationError – If
json_datais 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.
-
output_format:
FileExportFormat[source]
-
output_format_options:
Optional[RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]][source]
- classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)[source]
- Return type:
-
src_format:
FileImportFormat[source]
-
src_format_options:
Optional[RootModel[Annotated[Union[OptionFbx, OptionGltf, OptionObj, OptionPly, OptionSldprt, OptionStep, OptionStl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]][source]
-
status:
ApiCallStatus[source]
- class kittycad.models.async_api_call_output.OptionFileDensity(**data)[source][source]
A file density.
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.selfis explicitly positional-only to allowselfas a field name.- __annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[Dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_computed_fields__': 'ClassVar[Dict[str, ComputedFieldInfo]]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields__': 'ClassVar[Dict[str, FieldInfo]]', '__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]', 'completed_at': typing.Optional[datetime.datetime], 'created_at': <class 'datetime.datetime'>, 'density': typing.Optional[float], 'error': typing.Optional[str], 'id': <class 'kittycad.models.uuid.Uuid'>, 'material_mass': <class 'float'>, 'material_mass_unit': <enum 'UnitMass'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'output_unit': <enum 'UnitDensity'>, 'src_format': <enum 'FileImportFormat'>, 'started_at': typing.Optional[datetime.datetime], 'status': <enum 'ApiCallStatus'>, 'type': typing.Literal['file_density'], 'updated_at': <class 'datetime.datetime'>, 'user_id': <class 'kittycad.models.uuid.Uuid'>}[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.
- 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 theclsargument if this is a classmethod.handler (
GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.
- Return type:
Union[InvalidSchema,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-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[InvalidSchema,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]) – Apydantic-coreCoreSchema. 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 apydantic.errors.PydanticInvalidForJsonSchemaif JSON schema generation fails. Since this gets called byBaseModel.model_json_schemayou can override theschema_generatorargument to that function to change JSON schema generation globally for a type.
- Return type:
- Returns:
A JSON schema, as a Python object.
- __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.selfis explicitly positional-only to allowselfas a field name.
- __pretty__(fmt, **kwargs)[source]
Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.
- __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_computed_fields__: ClassVar[Dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding [
ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.async_api_call_output.OptionFileDensity'>, 'config': {'title': 'OptionFileDensity'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.OptionFileDensity'>>]}, 'ref': 'kittycad.models.async_api_call_output.OptionFileDensity:94092195474832', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'completed_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'density': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'error': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'material_mass': {'metadata': {}, 'schema': {'default': 0.0, 'schema': {'type': 'float'}, 'type': 'default'}, 'type': 'model-field'}, 'material_mass_unit': {'metadata': {}, 'schema': {'cls': <enum 'UnitMass'>, 'members': [UnitMass.G, UnitMass.KG, UnitMass.LB], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_mass.UnitMass:94092195507328', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'output_unit': {'metadata': {}, 'schema': {'cls': <enum 'UnitDensity'>, 'members': [UnitDensity.LB_FT3, UnitDensity.KG_M3], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_density.UnitDensity:94092194321136', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'src_format': {'metadata': {}, 'schema': {'cls': <enum 'FileImportFormat'>, 'members': [FileImportFormat.FBX, FileImportFormat.GLTF, FileImportFormat.OBJ, FileImportFormat.PLY, FileImportFormat.SLDPRT, FileImportFormat.STEP, FileImportFormat.STL], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_import_format.FileImportFormat:94092193082944', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'started_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:94092195505552', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'file_density', 'schema': {'expected': ['file_density'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'OptionFileDensity', 'type': 'model-fields'}, 'type': 'model'}[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__andModel.__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__: ClassVar[Dict[str, FieldInfo]] = {'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'density': FieldInfo(annotation=Union[float, NoneType], required=False, default=None), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'material_mass': FieldInfo(annotation=float, required=False, default=0.0), 'material_mass_unit': FieldInfo(annotation=UnitMass, required=True), 'output_unit': FieldInfo(annotation=UnitDensity, required=True), 'src_format': FieldInfo(annotation=FileImportFormat, required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['file_density'], required=False, default='file_density'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
A dictionary of field names and their corresponding [
FieldInfo][pydantic.fields.FieldInfo] objects. This replacesModel.__fields__from Pydantic V1.
- __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 byModelMetaclassonly after the class is actually fully initialized. In particular, attributes likemodel_fieldswill be present when this is called.This is necessary because
__init_subclass__will always be called bytype.__new__, and it would require a prohibitively large refactor to theModelMetaclassto ensure thattype.__new__was called in such a manner that the class would already be sufficiently initialized.This will receive the same
kwargsthat would be passed to the standard__init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.
- __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( 0x000055938be32d90, ), serializer: Fields( GeneralFieldsSerializer { fields: { "status": SerField { key_py: Py( 0x00007fd377e22030, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938be3a590, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd3746af270, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "file_density", }, expected_py: None, name: "literal['file_density']", }, ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007fd3735f1e70, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007fd3741451a0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "material_mass": SerField { key_py: Py( 0x00007fd373ef3d70, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd3741b7050, ), ), serializer: Float( FloatSerializer { inf_nan_mode: Null, }, ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007fd373601430, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "density": SerField { key_py: Py( 0x00007fd374f89530, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Float( FloatSerializer { inf_nan_mode: Null, }, ), }, ), }, ), ), required: true, }, "src_format": SerField { key_py: Py( 0x00007fd3737ecbf0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bbeae40, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "output_unit": SerField { key_py: Py( 0x00007fd3740c7eb0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bd192f0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "material_mass_unit": SerField { key_py: Py( 0x00007fd373ef3c70, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938be3ac80, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007fd373601470, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007fd377d7b040, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007fd377e1f3d0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007fd3735f1ff0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 14, }, ), has_extra: false, root_model: false, name: "OptionFileDensity", }, ), definitions=[])[source]
The
pydantic-coreSchemaSerializerused to dump instances of the model.
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="OptionFileDensity", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007fd3735c9430, ), path: LookupPath( [ S( "completed_at", Py( 0x00007fd3735c9470, ), ), ], ), }, name_py: Py( 0x00007fd373601470, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007fd3735c93b0, ), path: LookupPath( [ S( "created_at", Py( 0x00007fd3735c93f0, ), ), ], ), }, name_py: Py( 0x00007fd373601430, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "density", lookup_key: Simple { key: "density", py_key: Py( 0x00007fd374055f20, ), path: LookupPath( [ S( "density", Py( 0x00007fd374056010, ), ), ], ), }, name_py: Py( 0x00007fd374f89530, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), name: "nullable[float]", }, ), validate_default: false, copy_default: false, name: "default[nullable[float]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007fd374056040, ), path: LookupPath( [ S( "error", Py( 0x00007fd374056070, ), ), ], ), }, name_py: Py( 0x00007fd377d7b040, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), 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( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007fd3740560a0, ), path: LookupPath( [ S( "id", Py( 0x00007fd3740560d0, ), ), ], ), }, name_py: Py( 0x00007fd377e1f3d0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd3735c9500, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "material_mass", lookup_key: Simple { key: "material_mass", py_key: Py( 0x00007fd3735c9370, ), path: LookupPath( [ S( "material_mass", Py( 0x00007fd3735c9330, ), ), ], ), }, name_py: Py( 0x00007fd373ef3d70, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd3741b7050, ), ), on_error: Raise, validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), validate_default: false, copy_default: false, name: "default[float]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "material_mass_unit", lookup_key: Simple { key: "material_mass_unit", py_key: Py( 0x00007fd3735c9270, ), path: LookupPath( [ S( "material_mass_unit", Py( 0x00007fd3735c9230, ), ), ], ), }, name_py: Py( 0x00007fd373ef3c70, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938be3ac80, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "lb": 2, "kg": 1, "g": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735c92c0, ), ), values: [ Py( 0x00007fd3737c65d0, ), Py( 0x00007fd3737c6630, ), Py( 0x00007fd3737c6690, ), ], }, missing: None, expected_repr: "'g', 'kg' or 'lb'", strict: false, class_repr: "UnitMass", name: "str-enum[UnitMass]", }, ), frozen: false, }, Field { name: "output_unit", lookup_key: Simple { key: "output_unit", py_key: Py( 0x00007fd3735c91b0, ), path: LookupPath( [ S( "output_unit", Py( 0x00007fd3735c9170, ), ), ], ), }, name_py: Py( 0x00007fd3740c7eb0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bd192f0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "kg:m3": 1, "lb:ft3": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735c9200, ), ), values: [ Py( 0x00007fd3737c64b0, ), Py( 0x00007fd3737c6510, ), ], }, missing: None, expected_repr: "'lb:ft3' or 'kg:m3'", strict: false, class_repr: "UnitDensity", name: "str-enum[UnitDensity]", }, ), frozen: false, }, Field { name: "src_format", lookup_key: Simple { key: "src_format", py_key: Py( 0x00007fd3735c90f0, ), path: LookupPath( [ S( "src_format", Py( 0x00007fd3735c90b0, ), ), ], ), }, name_py: Py( 0x00007fd3737ecbf0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bbeae40, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "stl": 6, "gltf": 1, "step": 5, "ply": 3, "fbx": 0, "obj": 2, "sldprt": 4, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735c9140, ), ), values: [ Py( 0x00007fd37380eed0, ), Py( 0x00007fd37380ef30, ), Py( 0x00007fd37380ef90, ), Py( 0x00007fd37380eff0, ), Py( 0x00007fd37380f050, ), Py( 0x00007fd37380f0b0, ), Py( 0x00007fd37380f110, ), ], }, missing: None, expected_repr: "'fbx', 'gltf', 'obj', 'ply', 'sldprt', 'step' or 'stl'", strict: false, class_repr: "FileImportFormat", name: "str-enum[FileImportFormat]", }, ), frozen: false, }, Field { name: "started_at", lookup_key: Simple { key: "started_at", py_key: Py( 0x00007fd3735c9070, ), path: LookupPath( [ S( "started_at", Py( 0x00007fd3735c9030, ), ), ], ), }, name_py: Py( 0x00007fd3735f1ff0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007fd374056130, ), path: LookupPath( [ S( "status", Py( 0x00007fd374056160, ), ), ], ), }, name_py: Py( 0x00007fd377e22030, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938be3a590, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "in_progress": 2, "completed": 3, "failed": 4, "queued": 0, "uploaded": 1, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735c9000, ), ), values: [ Py( 0x00007fd37380d130, ), Py( 0x00007fd37380d190, ), Py( 0x00007fd37380d250, ), Py( 0x00007fd37380d2b0, ), Py( 0x00007fd37380d310, ), ], }, missing: None, expected_repr: "'queued', 'uploaded', 'in_progress', 'completed' or 'failed'", strict: false, class_repr: "ApiCallStatus", name: "str-enum[ApiCallStatus]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd374056190, ), path: LookupPath( [ S( "type", Py( 0x00007fd3740561c0, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd3746af270, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "file_density": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735c8fc0, ), ), values: [ Py( 0x00007fd3746af270, ), ], }, expected_repr: "'file_density'", name: "literal['file_density']", }, ), validate_default: false, copy_default: false, name: "default[literal['file_density']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007fd3735c8f70, ), path: LookupPath( [ S( "updated_at", Py( 0x00007fd3735c8f30, ), ), ], ), }, name_py: Py( 0x00007fd3735f1e70, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "user_id", lookup_key: Simple { key: "user_id", py_key: Py( 0x00007fd3740561f0, ), path: LookupPath( [ S( "user_id", Py( 0x00007fd374056220, ), ), ], ), }, name_py: Py( 0x00007fd3741451a0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd3735c9500, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "OptionFileDensity", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938be32d90, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionFileDensity", }, ), definitions=[], cache_strings=True)[source]
The
pydantic-coreSchemaValidatorused to validate instances of the model.
- __repr_recursion__(object)[source]
Returns the string representation of a recursive object.
- Return type:
- __rich_repr__()[source]
Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.
- __signature__: ClassVar[Signature] = <Signature (*, completed_at: Optional[datetime.datetime] = None, created_at: datetime.datetime, density: Optional[float] = None, error: Optional[str] = None, id: kittycad.models.uuid.Uuid, material_mass: float = 0.0, material_mass_unit: kittycad.models.unit_mass.UnitMass, output_unit: kittycad.models.unit_density.UnitDensity, src_format: kittycad.models.file_import_format.FileImportFormat, started_at: Optional[datetime.datetime] = None, status: kittycad.models.api_call_status.ApiCallStatus, type: Literal['file_density'] = 'file_density', updated_at: datetime.datetime, user_id: kittycad.models.uuid.Uuid) -> None>[source]
The synthesized
__init__[Signature][inspect.Signature] of the model.
- __slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')[source]
- 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_copyinstead.
If you need
includeorexclude, use:`python {test="skip" lint="skip"} 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.
- dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)[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:
- 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
Modelclass 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 themodel_config.extrasetting on the provided model. That is, ifmodel_config.extra == 'allow', then all extra passed values are added to the model instance’s__dict__and__pydantic_extra__fields. Ifmodel_config.extra == 'ignore'(the default), then all extra passed values are ignored. Because no validation is performed with a call tomodel_construct(), havingmodel_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 thevaluesargument will be used.values (
Any) – Trusted or pre-validated data dictionary.
- Return type:
Self- Returns:
A new instance of the
Modelclass with validated data.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#model_copy
Returns a copy of the model.
- 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/2.10/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 whichto_pythonshould 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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/2.10/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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
Noneifconfig.extrais not set to"allow".
- model_fields: ClassVar[dict[str, FieldInfo]] = {'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'density': FieldInfo(annotation=Union[float, NoneType], required=False, default=None), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'material_mass': FieldInfo(annotation=float, required=False, default=0.0), 'material_mass_unit': FieldInfo(annotation=UnitMass, required=True), 'output_unit': FieldInfo(annotation=UnitDensity, required=True), 'src_format': FieldInfo(annotation=FileImportFormat, required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['file_density'], required=False, default='file_density'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
- 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 ofGenerateJsonSchemawith your desired modificationsmode (
Literal['validation','serialization']) – The mode in which to generate the schema.
- Return type:
- 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 classModelwith 2 type variables and a concrete modelModel[str, int], the value(str, int)would be passed toparams.- Return type:
- Returns:
String representing the new class where
paramsare passed toclsas 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__andmodel_construct. This is useful if you want to do some validation that requires the entire model to be initialized.- Return type:
- 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 toFalse.raise_errors (
bool) – Whether to raise errors, defaults toTrue._parent_namespace_depth (
int) – The depth level of the parent namespace, defaults to 2._types_namespace (
Optional[Mapping[str,Any]]) – The types namespace, defaults toNone.
- Return type:
- Returns:
Returns
Noneif the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returnsTrueif rebuilding was successful, otherwiseFalse.
- classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)[source]
Validate a pydantic model instance.
- Parameters:
- 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/2.10/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValidationError – If
json_datais 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.
-
output_unit:
UnitDensity[source]
- classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)[source]
- Return type:
-
src_format:
FileImportFormat[source]
-
status:
ApiCallStatus[source]
- class kittycad.models.async_api_call_output.OptionFileMass(**data)[source][source]
A file mass.
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.selfis explicitly positional-only to allowselfas a field name.- __annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[Dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_computed_fields__': 'ClassVar[Dict[str, ComputedFieldInfo]]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields__': 'ClassVar[Dict[str, FieldInfo]]', '__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]', 'completed_at': typing.Optional[datetime.datetime], 'created_at': <class 'datetime.datetime'>, 'error': typing.Optional[str], 'id': <class 'kittycad.models.uuid.Uuid'>, 'mass': typing.Optional[float], 'material_density': <class 'float'>, 'material_density_unit': <enum 'UnitDensity'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'output_unit': <enum 'UnitMass'>, 'src_format': <enum 'FileImportFormat'>, 'started_at': typing.Optional[datetime.datetime], 'status': <enum 'ApiCallStatus'>, 'type': typing.Literal['file_mass'], 'updated_at': <class 'datetime.datetime'>, 'user_id': <class 'kittycad.models.uuid.Uuid'>}[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.
- 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 theclsargument if this is a classmethod.handler (
GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.
- Return type:
Union[InvalidSchema,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-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[InvalidSchema,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]) – Apydantic-coreCoreSchema. 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 apydantic.errors.PydanticInvalidForJsonSchemaif JSON schema generation fails. Since this gets called byBaseModel.model_json_schemayou can override theschema_generatorargument to that function to change JSON schema generation globally for a type.
- Return type:
- Returns:
A JSON schema, as a Python object.
- __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.selfis explicitly positional-only to allowselfas a field name.
- __pretty__(fmt, **kwargs)[source]
Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.
- __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_computed_fields__: ClassVar[Dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding [
ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.async_api_call_output.OptionFileMass'>, 'config': {'title': 'OptionFileMass'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.OptionFileMass'>>]}, 'ref': 'kittycad.models.async_api_call_output.OptionFileMass:94092195396272', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'completed_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'error': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'mass': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'material_density': {'metadata': {}, 'schema': {'default': 0.0, 'schema': {'type': 'float'}, 'type': 'default'}, 'type': 'model-field'}, 'material_density_unit': {'metadata': {}, 'schema': {'cls': <enum 'UnitDensity'>, 'members': [UnitDensity.LB_FT3, UnitDensity.KG_M3], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_density.UnitDensity:94092194321136', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'output_unit': {'metadata': {}, 'schema': {'cls': <enum 'UnitMass'>, 'members': [UnitMass.G, UnitMass.KG, UnitMass.LB], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_mass.UnitMass:94092195507328', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'src_format': {'metadata': {}, 'schema': {'cls': <enum 'FileImportFormat'>, 'members': [FileImportFormat.FBX, FileImportFormat.GLTF, FileImportFormat.OBJ, FileImportFormat.PLY, FileImportFormat.SLDPRT, FileImportFormat.STEP, FileImportFormat.STL], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_import_format.FileImportFormat:94092193082944', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'started_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:94092195505552', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'file_mass', 'schema': {'expected': ['file_mass'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'OptionFileMass', 'type': 'model-fields'}, 'type': 'model'}[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__andModel.__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__: ClassVar[Dict[str, FieldInfo]] = {'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'mass': FieldInfo(annotation=Union[float, NoneType], required=False, default=None), 'material_density': FieldInfo(annotation=float, required=False, default=0.0), 'material_density_unit': FieldInfo(annotation=UnitDensity, required=True), 'output_unit': FieldInfo(annotation=UnitMass, required=True), 'src_format': FieldInfo(annotation=FileImportFormat, required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['file_mass'], required=False, default='file_mass'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
A dictionary of field names and their corresponding [
FieldInfo][pydantic.fields.FieldInfo] objects. This replacesModel.__fields__from Pydantic V1.
- __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 byModelMetaclassonly after the class is actually fully initialized. In particular, attributes likemodel_fieldswill be present when this is called.This is necessary because
__init_subclass__will always be called bytype.__new__, and it would require a prohibitively large refactor to theModelMetaclassto ensure thattype.__new__was called in such a manner that the class would already be sufficiently initialized.This will receive the same
kwargsthat would be passed to the standard__init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.
- __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( 0x000055938be1fab0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "mass": SerField { key_py: Py( 0x00007fd3745295c0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Float( FloatSerializer { inf_nan_mode: Null, }, ), }, ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007fd377e1f3d0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "material_density": SerField { key_py: Py( 0x00007fd3740c7530, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd3741b7050, ), ), serializer: Float( FloatSerializer { inf_nan_mode: Null, }, ), }, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007fd3735f1ff0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007fd377e22030, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938be3a590, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "src_format": SerField { key_py: Py( 0x00007fd3737ecbf0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bbeae40, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd3746af8b0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "file_mass", }, expected_py: None, name: "literal['file_mass']", }, ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007fd3735f1e70, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007fd3741451a0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "output_unit": SerField { key_py: Py( 0x00007fd3740c7eb0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938be3ac80, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "material_density_unit": SerField { key_py: Py( 0x00007fd3740c6fb0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bd192f0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007fd377d7b040, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007fd373601470, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007fd373601430, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 14, }, ), has_extra: false, root_model: false, name: "OptionFileMass", }, ), definitions=[])[source]
The
pydantic-coreSchemaSerializerused to dump instances of the model.
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="OptionFileMass", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007fd373f37df0, ), path: LookupPath( [ S( "completed_at", Py( 0x00007fd373f36c30, ), ), ], ), }, name_py: Py( 0x00007fd373601470, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007fd373f37f30, ), path: LookupPath( [ S( "created_at", Py( 0x00007fd373f37670, ), ), ], ), }, name_py: Py( 0x00007fd373601430, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007fd3740485d0, ), path: LookupPath( [ S( "error", Py( 0x00007fd37404fa80, ), ), ], ), }, name_py: Py( 0x00007fd377d7b040, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), 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( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007fd37404f7b0, ), path: LookupPath( [ S( "id", Py( 0x00007fd37404fb70, ), ), ], ), }, name_py: Py( 0x00007fd377e1f3d0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd3735daac0, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "mass", lookup_key: Simple { key: "mass", py_key: Py( 0x00007fd37404fc90, ), path: LookupPath( [ S( "mass", Py( 0x00007fd37404fae0, ), ), ], ), }, name_py: Py( 0x00007fd3745295c0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), name: "nullable[float]", }, ), validate_default: false, copy_default: false, name: "default[nullable[float]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "material_density", lookup_key: Simple { key: "material_density", py_key: Py( 0x00007fd37361fc30, ), path: LookupPath( [ S( "material_density", Py( 0x00007fd37361fbf0, ), ), ], ), }, name_py: Py( 0x00007fd3740c7530, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd3741b7050, ), ), on_error: Raise, validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), validate_default: false, copy_default: false, name: "default[float]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "material_density_unit", lookup_key: Simple { key: "material_density_unit", py_key: Py( 0x00007fd37361fbb0, ), path: LookupPath( [ S( "material_density_unit", Py( 0x00007fd37361ff30, ), ), ], ), }, name_py: Py( 0x00007fd3740c6fb0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bd192f0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "kg:m3": 1, "lb:ft3": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361ff80, ), ), values: [ Py( 0x00007fd3737c64b0, ), Py( 0x00007fd3737c6510, ), ], }, missing: None, expected_repr: "'lb:ft3' or 'kg:m3'", strict: false, class_repr: "UnitDensity", name: "str-enum[UnitDensity]", }, ), frozen: false, }, Field { name: "output_unit", lookup_key: Simple { key: "output_unit", py_key: Py( 0x00007fd373780170, ), path: LookupPath( [ S( "output_unit", Py( 0x00007fd37361feb0, ), ), ], ), }, name_py: Py( 0x00007fd3740c7eb0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938be3ac80, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "g": 0, "kg": 1, "lb": 2, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735dbfc0, ), ), values: [ Py( 0x00007fd3737c65d0, ), Py( 0x00007fd3737c6630, ), Py( 0x00007fd3737c6690, ), ], }, missing: None, expected_repr: "'g', 'kg' or 'lb'", strict: false, class_repr: "UnitMass", name: "str-enum[UnitMass]", }, ), frozen: false, }, Field { name: "src_format", lookup_key: Simple { key: "src_format", py_key: Py( 0x00007fd37361ffb0, ), path: LookupPath( [ S( "src_format", Py( 0x00007fd37361fdf0, ), ), ], ), }, name_py: Py( 0x00007fd3737ecbf0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bbeae40, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "obj": 2, "sldprt": 4, "ply": 3, "gltf": 1, "step": 5, "fbx": 0, "stl": 6, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361fd80, ), ), values: [ Py( 0x00007fd37380eed0, ), Py( 0x00007fd37380ef30, ), Py( 0x00007fd37380ef90, ), Py( 0x00007fd37380eff0, ), Py( 0x00007fd37380f050, ), Py( 0x00007fd37380f0b0, ), Py( 0x00007fd37380f110, ), ], }, missing: None, expected_repr: "'fbx', 'gltf', 'obj', 'ply', 'sldprt', 'step' or 'stl'", strict: false, class_repr: "FileImportFormat", name: "str-enum[FileImportFormat]", }, ), frozen: false, }, Field { name: "started_at", lookup_key: Simple { key: "started_at", py_key: Py( 0x00007fd373fb7db0, ), path: LookupPath( [ S( "started_at", Py( 0x00007fd3735db9f0, ), ), ], ), }, name_py: Py( 0x00007fd3735f1ff0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007fd37404e6d0, ), path: LookupPath( [ S( "status", Py( 0x00007fd37404f990, ), ), ], ), }, name_py: Py( 0x00007fd377e22030, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938be3a590, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "failed": 4, "queued": 0, "in_progress": 2, "uploaded": 1, "completed": 3, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361fcc0, ), ), values: [ Py( 0x00007fd37380d130, ), Py( 0x00007fd37380d190, ), Py( 0x00007fd37380d250, ), Py( 0x00007fd37380d2b0, ), Py( 0x00007fd37380d310, ), ], }, missing: None, expected_repr: "'queued', 'uploaded', 'in_progress', 'completed' or 'failed'", strict: false, class_repr: "ApiCallStatus", name: "str-enum[ApiCallStatus]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd37404f9f0, ), path: LookupPath( [ S( "type", Py( 0x00007fd37404fcf0, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd3746af8b0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "file_mass": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd37361fd40, ), ), values: [ Py( 0x00007fd3746af8b0, ), ], }, expected_repr: "'file_mass'", name: "literal['file_mass']", }, ), validate_default: false, copy_default: false, name: "default[literal['file_mass']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007fd3735db8f0, ), path: LookupPath( [ S( "updated_at", Py( 0x00007fd3735db870, ), ), ], ), }, name_py: Py( 0x00007fd3735f1e70, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "user_id", lookup_key: Simple { key: "user_id", py_key: Py( 0x00007fd37404f900, ), path: LookupPath( [ S( "user_id", Py( 0x00007fd374055530, ), ), ], ), }, name_py: Py( 0x00007fd3741451a0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd3735daac0, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "OptionFileMass", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938be1fab0, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionFileMass", }, ), definitions=[], cache_strings=True)[source]
The
pydantic-coreSchemaValidatorused to validate instances of the model.
- __repr_recursion__(object)[source]
Returns the string representation of a recursive object.
- Return type:
- __rich_repr__()[source]
Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.
- __signature__: ClassVar[Signature] = <Signature (*, completed_at: Optional[datetime.datetime] = None, created_at: datetime.datetime, error: Optional[str] = None, id: kittycad.models.uuid.Uuid, mass: Optional[float] = None, material_density: float = 0.0, material_density_unit: kittycad.models.unit_density.UnitDensity, output_unit: kittycad.models.unit_mass.UnitMass, src_format: kittycad.models.file_import_format.FileImportFormat, started_at: Optional[datetime.datetime] = None, status: kittycad.models.api_call_status.ApiCallStatus, type: Literal['file_mass'] = 'file_mass', updated_at: datetime.datetime, user_id: kittycad.models.uuid.Uuid) -> None>[source]
The synthesized
__init__[Signature][inspect.Signature] of the model.
- __slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')[source]
- 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_copyinstead.
If you need
includeorexclude, use:`python {test="skip" lint="skip"} 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.
- dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)[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:
-
material_density_unit:
UnitDensity[source]
- 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
Modelclass 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 themodel_config.extrasetting on the provided model. That is, ifmodel_config.extra == 'allow', then all extra passed values are added to the model instance’s__dict__and__pydantic_extra__fields. Ifmodel_config.extra == 'ignore'(the default), then all extra passed values are ignored. Because no validation is performed with a call tomodel_construct(), havingmodel_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 thevaluesargument will be used.values (
Any) – Trusted or pre-validated data dictionary.
- Return type:
Self- Returns:
A new instance of the
Modelclass with validated data.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#model_copy
Returns a copy of the model.
- 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/2.10/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 whichto_pythonshould 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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/2.10/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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
Noneifconfig.extrais not set to"allow".
- model_fields: ClassVar[dict[str, FieldInfo]] = {'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'mass': FieldInfo(annotation=Union[float, NoneType], required=False, default=None), 'material_density': FieldInfo(annotation=float, required=False, default=0.0), 'material_density_unit': FieldInfo(annotation=UnitDensity, required=True), 'output_unit': FieldInfo(annotation=UnitMass, required=True), 'src_format': FieldInfo(annotation=FileImportFormat, required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['file_mass'], required=False, default='file_mass'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
- 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 ofGenerateJsonSchemawith your desired modificationsmode (
Literal['validation','serialization']) – The mode in which to generate the schema.
- Return type:
- 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 classModelwith 2 type variables and a concrete modelModel[str, int], the value(str, int)would be passed toparams.- Return type:
- Returns:
String representing the new class where
paramsare passed toclsas 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__andmodel_construct. This is useful if you want to do some validation that requires the entire model to be initialized.- Return type:
- 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 toFalse.raise_errors (
bool) – Whether to raise errors, defaults toTrue._parent_namespace_depth (
int) – The depth level of the parent namespace, defaults to 2._types_namespace (
Optional[Mapping[str,Any]]) – The types namespace, defaults toNone.
- Return type:
- Returns:
Returns
Noneif the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returnsTrueif rebuilding was successful, otherwiseFalse.
- classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)[source]
Validate a pydantic model instance.
- Parameters:
- 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/2.10/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValidationError – If
json_datais 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.
- classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)[source]
- Return type:
-
src_format:
FileImportFormat[source]
-
status:
ApiCallStatus[source]
- class kittycad.models.async_api_call_output.OptionFileSurfaceArea(**data)[source][source]
A file surface area.
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.selfis explicitly positional-only to allowselfas a field name.- __annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[Dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_computed_fields__': 'ClassVar[Dict[str, ComputedFieldInfo]]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields__': 'ClassVar[Dict[str, FieldInfo]]', '__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]', 'completed_at': typing.Optional[datetime.datetime], 'created_at': <class 'datetime.datetime'>, 'error': typing.Optional[str], 'id': <class 'kittycad.models.uuid.Uuid'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'output_unit': <enum 'UnitArea'>, 'src_format': <enum 'FileImportFormat'>, 'started_at': typing.Optional[datetime.datetime], 'status': <enum 'ApiCallStatus'>, 'surface_area': typing.Optional[float], 'type': typing.Literal['file_surface_area'], 'updated_at': <class 'datetime.datetime'>, 'user_id': <class 'kittycad.models.uuid.Uuid'>}[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.
- 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 theclsargument if this is a classmethod.handler (
GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.
- Return type:
Union[InvalidSchema,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-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[InvalidSchema,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]) – Apydantic-coreCoreSchema. 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 apydantic.errors.PydanticInvalidForJsonSchemaif JSON schema generation fails. Since this gets called byBaseModel.model_json_schemayou can override theschema_generatorargument to that function to change JSON schema generation globally for a type.
- Return type:
- Returns:
A JSON schema, as a Python object.
- __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.selfis explicitly positional-only to allowselfas a field name.
- __pretty__(fmt, **kwargs)[source]
Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.
- __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_computed_fields__: ClassVar[Dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding [
ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.async_api_call_output.OptionFileSurfaceArea'>, 'config': {'title': 'OptionFileSurfaceArea'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.OptionFileSurfaceArea'>>]}, 'ref': 'kittycad.models.async_api_call_output.OptionFileSurfaceArea:94092182731360', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'completed_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'error': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'output_unit': {'metadata': {}, 'schema': {'cls': <enum 'UnitArea'>, 'members': [UnitArea.CM2, UnitArea.DM2, UnitArea.FT2, UnitArea.IN2, UnitArea.KM2, UnitArea.M2, UnitArea.MM2, UnitArea.YD2], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_area.UnitArea:94092194316544', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'src_format': {'metadata': {}, 'schema': {'cls': <enum 'FileImportFormat'>, 'members': [FileImportFormat.FBX, FileImportFormat.GLTF, FileImportFormat.OBJ, FileImportFormat.PLY, FileImportFormat.SLDPRT, FileImportFormat.STEP, FileImportFormat.STL], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_import_format.FileImportFormat:94092193082944', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'started_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:94092195505552', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'surface_area': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'file_surface_area', 'schema': {'expected': ['file_surface_area'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'OptionFileSurfaceArea', 'type': 'model-fields'}, 'type': 'model'}[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__andModel.__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__: ClassVar[Dict[str, FieldInfo]] = {'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'output_unit': FieldInfo(annotation=UnitArea, required=True), 'src_format': FieldInfo(annotation=FileImportFormat, required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'surface_area': FieldInfo(annotation=Union[float, NoneType], required=False, default=None), 'type': FieldInfo(annotation=Literal['file_surface_area'], required=False, default='file_surface_area'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
A dictionary of field names and their corresponding [
FieldInfo][pydantic.fields.FieldInfo] objects. This replacesModel.__fields__from Pydantic V1.
- __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 byModelMetaclassonly after the class is actually fully initialized. In particular, attributes likemodel_fieldswill be present when this is called.This is necessary because
__init_subclass__will always be called bytype.__new__, and it would require a prohibitively large refactor to theModelMetaclassto ensure thattype.__new__was called in such a manner that the class would already be sufficiently initialized.This will receive the same
kwargsthat would be passed to the standard__init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.
- __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( 0x000055938b20ba60, ), serializer: Fields( GeneralFieldsSerializer { fields: { "src_format": SerField { key_py: Py( 0x00007fd3737ecbf0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bbeae40, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007fd373601470, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd3746aef70, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "file_surface_area", }, expected_py: None, name: "literal['file_surface_area']", }, ), }, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007fd3741451a0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007fd377e1f3d0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "surface_area": SerField { key_py: Py( 0x00007fd37414fdb0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Float( FloatSerializer { inf_nan_mode: Null, }, ), }, ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007fd373601430, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007fd377d7b040, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007fd377e22030, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938be3a590, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007fd3735f1e70, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007fd3735f1ff0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "output_unit": SerField { key_py: Py( 0x00007fd3740c7eb0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bd18100, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 12, }, ), has_extra: false, root_model: false, name: "OptionFileSurfaceArea", }, ), definitions=[])[source]
The
pydantic-coreSchemaSerializerused to dump instances of the model.
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="OptionFileSurfaceArea", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007fd3735c3830, ), path: LookupPath( [ S( "completed_at", Py( 0x00007fd3735c3870, ), ), ], ), }, name_py: Py( 0x00007fd373601470, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007fd3735c37b0, ), path: LookupPath( [ S( "created_at", Py( 0x00007fd3735c37f0, ), ), ], ), }, name_py: Py( 0x00007fd373601430, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007fd374055b90, ), path: LookupPath( [ S( "error", Py( 0x00007fd374055f80, ), ), ], ), }, name_py: Py( 0x00007fd377d7b040, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), 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( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007fd374054e10, ), path: LookupPath( [ S( "id", Py( 0x00007fd374054e40, ), ), ], ), }, name_py: Py( 0x00007fd377e1f3d0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd3735c3900, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "output_unit", lookup_key: Simple { key: "output_unit", py_key: Py( 0x00007fd3735c3730, ), path: LookupPath( [ S( "output_unit", Py( 0x00007fd3735c36f0, ), ), ], ), }, name_py: Py( 0x00007fd3740c7eb0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bd18100, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "km2": 4, "cm2": 0, "in2": 3, "dm2": 1, "mm2": 6, "yd2": 7, "m2": 5, "ft2": 2, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735c3780, ), ), values: [ Py( 0x00007fd3737c6150, ), Py( 0x00007fd3737c61b0, ), Py( 0x00007fd3737c6210, ), Py( 0x00007fd3737c6270, ), Py( 0x00007fd3737c62d0, ), Py( 0x00007fd3737c6330, ), Py( 0x00007fd3737c6390, ), Py( 0x00007fd3737c63f0, ), ], }, missing: None, expected_repr: "'cm2', 'dm2', 'ft2', 'in2', 'km2', 'm2', 'mm2' or 'yd2'", strict: false, class_repr: "UnitArea", name: "str-enum[UnitArea]", }, ), frozen: false, }, Field { name: "src_format", lookup_key: Simple { key: "src_format", py_key: Py( 0x00007fd3735c3670, ), path: LookupPath( [ S( "src_format", Py( 0x00007fd3735c3630, ), ), ], ), }, name_py: Py( 0x00007fd3737ecbf0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bbeae40, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "ply": 3, "sldprt": 4, "step": 5, "stl": 6, "obj": 2, "fbx": 0, "gltf": 1, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735c36c0, ), ), values: [ Py( 0x00007fd37380eed0, ), Py( 0x00007fd37380ef30, ), Py( 0x00007fd37380ef90, ), Py( 0x00007fd37380eff0, ), Py( 0x00007fd37380f050, ), Py( 0x00007fd37380f0b0, ), Py( 0x00007fd37380f110, ), ], }, missing: None, expected_repr: "'fbx', 'gltf', 'obj', 'ply', 'sldprt', 'step' or 'stl'", strict: false, class_repr: "FileImportFormat", name: "str-enum[FileImportFormat]", }, ), frozen: false, }, Field { name: "started_at", lookup_key: Simple { key: "started_at", py_key: Py( 0x00007fd3735c35f0, ), path: LookupPath( [ S( "started_at", Py( 0x00007fd3735c35b0, ), ), ], ), }, name_py: Py( 0x00007fd3735f1ff0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007fd3740552f0, ), path: LookupPath( [ S( "status", Py( 0x00007fd374055380, ), ), ], ), }, name_py: Py( 0x00007fd377e22030, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938be3a590, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "completed": 3, "in_progress": 2, "queued": 0, "uploaded": 1, "failed": 4, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735c3580, ), ), values: [ Py( 0x00007fd37380d130, ), Py( 0x00007fd37380d190, ), Py( 0x00007fd37380d250, ), Py( 0x00007fd37380d2b0, ), Py( 0x00007fd37380d310, ), ], }, missing: None, expected_repr: "'queued', 'uploaded', 'in_progress', 'completed' or 'failed'", strict: false, class_repr: "ApiCallStatus", name: "str-enum[ApiCallStatus]", }, ), frozen: false, }, Field { name: "surface_area", lookup_key: Simple { key: "surface_area", py_key: Py( 0x00007fd3735c3530, ), path: LookupPath( [ S( "surface_area", Py( 0x00007fd3735c34f0, ), ), ], ), }, name_py: Py( 0x00007fd37414fdb0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), name: "nullable[float]", }, ), validate_default: false, copy_default: false, name: "default[nullable[float]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd3740553b0, ), path: LookupPath( [ S( "type", Py( 0x00007fd3740553e0, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd3746aef70, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "file_surface_area": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735c34c0, ), ), values: [ Py( 0x00007fd3746aef70, ), ], }, expected_repr: "'file_surface_area'", name: "literal['file_surface_area']", }, ), validate_default: false, copy_default: false, name: "default[literal['file_surface_area']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007fd3735c3470, ), path: LookupPath( [ S( "updated_at", Py( 0x00007fd3735c3430, ), ), ], ), }, name_py: Py( 0x00007fd3735f1e70, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "user_id", lookup_key: Simple { key: "user_id", py_key: Py( 0x00007fd374055350, ), path: LookupPath( [ S( "user_id", Py( 0x00007fd3740554d0, ), ), ], ), }, name_py: Py( 0x00007fd3741451a0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd3735c3900, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "OptionFileSurfaceArea", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938b20ba60, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionFileSurfaceArea", }, ), definitions=[], cache_strings=True)[source]
The
pydantic-coreSchemaValidatorused to validate instances of the model.
- __repr_recursion__(object)[source]
Returns the string representation of a recursive object.
- Return type:
- __rich_repr__()[source]
Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.
- __signature__: ClassVar[Signature] = <Signature (*, completed_at: Optional[datetime.datetime] = None, created_at: datetime.datetime, error: Optional[str] = None, id: kittycad.models.uuid.Uuid, output_unit: kittycad.models.unit_area.UnitArea, src_format: kittycad.models.file_import_format.FileImportFormat, started_at: Optional[datetime.datetime] = None, status: kittycad.models.api_call_status.ApiCallStatus, surface_area: Optional[float] = None, type: Literal['file_surface_area'] = 'file_surface_area', updated_at: datetime.datetime, user_id: kittycad.models.uuid.Uuid) -> None>[source]
The synthesized
__init__[Signature][inspect.Signature] of the model.
- __slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')[source]
- 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_copyinstead.
If you need
includeorexclude, use:`python {test="skip" lint="skip"} 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.
- dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)[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:
- 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
Modelclass 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 themodel_config.extrasetting on the provided model. That is, ifmodel_config.extra == 'allow', then all extra passed values are added to the model instance’s__dict__and__pydantic_extra__fields. Ifmodel_config.extra == 'ignore'(the default), then all extra passed values are ignored. Because no validation is performed with a call tomodel_construct(), havingmodel_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 thevaluesargument will be used.values (
Any) – Trusted or pre-validated data dictionary.
- Return type:
Self- Returns:
A new instance of the
Modelclass with validated data.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#model_copy
Returns a copy of the model.
- 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/2.10/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 whichto_pythonshould 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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/2.10/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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
Noneifconfig.extrais not set to"allow".
- model_fields: ClassVar[dict[str, FieldInfo]] = {'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'output_unit': FieldInfo(annotation=UnitArea, required=True), 'src_format': FieldInfo(annotation=FileImportFormat, required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'surface_area': FieldInfo(annotation=Union[float, NoneType], required=False, default=None), 'type': FieldInfo(annotation=Literal['file_surface_area'], required=False, default='file_surface_area'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
- 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 ofGenerateJsonSchemawith your desired modificationsmode (
Literal['validation','serialization']) – The mode in which to generate the schema.
- Return type:
- 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 classModelwith 2 type variables and a concrete modelModel[str, int], the value(str, int)would be passed toparams.- Return type:
- Returns:
String representing the new class where
paramsare passed toclsas 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__andmodel_construct. This is useful if you want to do some validation that requires the entire model to be initialized.- Return type:
- 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 toFalse.raise_errors (
bool) – Whether to raise errors, defaults toTrue._parent_namespace_depth (
int) – The depth level of the parent namespace, defaults to 2._types_namespace (
Optional[Mapping[str,Any]]) – The types namespace, defaults toNone.
- Return type:
- Returns:
Returns
Noneif the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returnsTrueif rebuilding was successful, otherwiseFalse.
- classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)[source]
Validate a pydantic model instance.
- Parameters:
- 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/2.10/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValidationError – If
json_datais 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.
- classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)[source]
- Return type:
-
src_format:
FileImportFormat[source]
-
status:
ApiCallStatus[source]
- class kittycad.models.async_api_call_output.OptionFileVolume(**data)[source][source]
A file volume.
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.selfis explicitly positional-only to allowselfas a field name.- __annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[Dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_computed_fields__': 'ClassVar[Dict[str, ComputedFieldInfo]]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields__': 'ClassVar[Dict[str, FieldInfo]]', '__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]', 'completed_at': typing.Optional[datetime.datetime], 'created_at': <class 'datetime.datetime'>, 'error': typing.Optional[str], 'id': <class 'kittycad.models.uuid.Uuid'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'output_unit': <enum 'UnitVolume'>, 'src_format': <enum 'FileImportFormat'>, 'started_at': typing.Optional[datetime.datetime], 'status': <enum 'ApiCallStatus'>, 'type': typing.Literal['file_volume'], 'updated_at': <class 'datetime.datetime'>, 'user_id': <class 'kittycad.models.uuid.Uuid'>, 'volume': typing.Optional[float]}[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.
- 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 theclsargument if this is a classmethod.handler (
GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.
- Return type:
Union[InvalidSchema,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-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[InvalidSchema,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]) – Apydantic-coreCoreSchema. 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 apydantic.errors.PydanticInvalidForJsonSchemaif JSON schema generation fails. Since this gets called byBaseModel.model_json_schemayou can override theschema_generatorargument to that function to change JSON schema generation globally for a type.
- Return type:
- Returns:
A JSON schema, as a Python object.
- __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.selfis explicitly positional-only to allowselfas a field name.
- __pretty__(fmt, **kwargs)[source]
Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.
- __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_computed_fields__: ClassVar[Dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding [
ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.async_api_call_output.OptionFileVolume'>, 'config': {'title': 'OptionFileVolume'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.OptionFileVolume'>>]}, 'ref': 'kittycad.models.async_api_call_output.OptionFileVolume:94092195438848', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'completed_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'error': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'output_unit': {'metadata': {}, 'schema': {'cls': <enum 'UnitVolume'>, 'members': [UnitVolume.CM3, UnitVolume.FT3, UnitVolume.IN3, UnitVolume.M3, UnitVolume.YD3, UnitVolume.USFLOZ, UnitVolume.USGAL, UnitVolume.L, UnitVolume.ML], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_volume.UnitVolume:94092196011552', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'src_format': {'metadata': {}, 'schema': {'cls': <enum 'FileImportFormat'>, 'members': [FileImportFormat.FBX, FileImportFormat.GLTF, FileImportFormat.OBJ, FileImportFormat.PLY, FileImportFormat.SLDPRT, FileImportFormat.STEP, FileImportFormat.STL], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_import_format.FileImportFormat:94092193082944', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'started_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:94092195505552', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'file_volume', 'schema': {'expected': ['file_volume'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'volume': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'OptionFileVolume', 'type': 'model-fields'}, 'type': 'model'}[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__andModel.__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__: ClassVar[Dict[str, FieldInfo]] = {'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'output_unit': FieldInfo(annotation=UnitVolume, required=True), 'src_format': FieldInfo(annotation=FileImportFormat, required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['file_volume'], required=False, default='file_volume'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True), 'volume': FieldInfo(annotation=Union[float, NoneType], required=False, default=None)}[source]
A dictionary of field names and their corresponding [
FieldInfo][pydantic.fields.FieldInfo] objects. This replacesModel.__fields__from Pydantic V1.
- __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 byModelMetaclassonly after the class is actually fully initialized. In particular, attributes likemodel_fieldswill be present when this is called.This is necessary because
__init_subclass__will always be called bytype.__new__, and it would require a prohibitively large refactor to theModelMetaclassto ensure thattype.__new__was called in such a manner that the class would already be sufficiently initialized.This will receive the same
kwargsthat would be passed to the standard__init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.
- __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( 0x000055938be2a100, ), serializer: Fields( GeneralFieldsSerializer { fields: { "output_unit": SerField { key_py: Py( 0x00007fd3740c7eb0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938beb5e20, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007fd373601470, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007fd3741451a0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "volume": SerField { key_py: Py( 0x00007fd377e22ad8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Float( FloatSerializer { inf_nan_mode: Null, }, ), }, ), }, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007fd377d7b040, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007fd3735f1e70, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007fd377e1f3d0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007fd377e22030, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938be3a590, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007fd3735f1ff0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007fd373601430, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "src_format": SerField { key_py: Py( 0x00007fd3737ecbf0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bbeae40, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd37424fef0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "file_volume", }, expected_py: None, name: "literal['file_volume']", }, ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 12, }, ), has_extra: false, root_model: false, name: "OptionFileVolume", }, ), definitions=[])[source]
The
pydantic-coreSchemaSerializerused to dump instances of the model.
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="OptionFileVolume", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007fd3735d8f70, ), path: LookupPath( [ S( "completed_at", Py( 0x00007fd3735d8fb0, ), ), ], ), }, name_py: Py( 0x00007fd373601470, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007fd3735d8ef0, ), path: LookupPath( [ S( "created_at", Py( 0x00007fd3735d8f30, ), ), ], ), }, name_py: Py( 0x00007fd373601430, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007fd374054fc0, ), path: LookupPath( [ S( "error", Py( 0x00007fd374055560, ), ), ], ), }, name_py: Py( 0x00007fd377d7b040, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), 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( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007fd374055800, ), path: LookupPath( [ S( "id", Py( 0x00007fd374055830, ), ), ], ), }, name_py: Py( 0x00007fd377e1f3d0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd3735d9040, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "output_unit", lookup_key: Simple { key: "output_unit", py_key: Py( 0x00007fd3735d8e30, ), path: LookupPath( [ S( "output_unit", Py( 0x00007fd3735d8df0, ), ), ], ), }, name_py: Py( 0x00007fd3740c7eb0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938beb5e20, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "in3": 2, "l": 7, "yd3": 4, "ft3": 1, "cm3": 0, "m3": 3, "usgal": 6, "ml": 8, "usfloz": 5, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735d8e80, ), ), values: [ Py( 0x00007fd3737c6750, ), Py( 0x00007fd3737c67b0, ), Py( 0x00007fd3737c6810, ), Py( 0x00007fd3737c6870, ), Py( 0x00007fd3737c68d0, ), Py( 0x00007fd3737c6930, ), Py( 0x00007fd3737c6990, ), Py( 0x00007fd3737c69f0, ), Py( 0x00007fd3737c6a50, ), ], }, missing: None, expected_repr: "'cm3', 'ft3', 'in3', 'm3', 'yd3', 'usfloz', 'usgal', 'l' or 'ml'", strict: false, class_repr: "UnitVolume", name: "str-enum[UnitVolume]", }, ), frozen: false, }, Field { name: "src_format", lookup_key: Simple { key: "src_format", py_key: Py( 0x00007fd3735d8d70, ), path: LookupPath( [ S( "src_format", Py( 0x00007fd3735d8d30, ), ), ], ), }, name_py: Py( 0x00007fd3737ecbf0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bbeae40, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "gltf": 1, "obj": 2, "ply": 3, "sldprt": 4, "step": 5, "fbx": 0, "stl": 6, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735d8dc0, ), ), values: [ Py( 0x00007fd37380eed0, ), Py( 0x00007fd37380ef30, ), Py( 0x00007fd37380ef90, ), Py( 0x00007fd37380eff0, ), Py( 0x00007fd37380f050, ), Py( 0x00007fd37380f0b0, ), Py( 0x00007fd37380f110, ), ], }, missing: None, expected_repr: "'fbx', 'gltf', 'obj', 'ply', 'sldprt', 'step' or 'stl'", strict: false, class_repr: "FileImportFormat", name: "str-enum[FileImportFormat]", }, ), frozen: false, }, Field { name: "started_at", lookup_key: Simple { key: "started_at", py_key: Py( 0x00007fd3735d8cf0, ), path: LookupPath( [ S( "started_at", Py( 0x00007fd3735d8cb0, ), ), ], ), }, name_py: Py( 0x00007fd3735f1ff0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007fd374055860, ), path: LookupPath( [ S( "status", Py( 0x00007fd374055890, ), ), ], ), }, name_py: Py( 0x00007fd377e22030, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938be3a590, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "in_progress": 2, "completed": 3, "uploaded": 1, "failed": 4, "queued": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735d8c80, ), ), values: [ Py( 0x00007fd37380d130, ), Py( 0x00007fd37380d190, ), Py( 0x00007fd37380d250, ), Py( 0x00007fd37380d2b0, ), Py( 0x00007fd37380d310, ), ], }, missing: None, expected_repr: "'queued', 'uploaded', 'in_progress', 'completed' or 'failed'", strict: false, class_repr: "ApiCallStatus", name: "str-enum[ApiCallStatus]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd3740558c0, ), path: LookupPath( [ S( "type", Py( 0x00007fd3740558f0, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd37424fef0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "file_volume": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735d8c40, ), ), values: [ Py( 0x00007fd37424fef0, ), ], }, expected_repr: "'file_volume'", name: "literal['file_volume']", }, ), validate_default: false, copy_default: false, name: "default[literal['file_volume']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007fd3735d8bf0, ), path: LookupPath( [ S( "updated_at", Py( 0x00007fd3735d8bb0, ), ), ], ), }, name_py: Py( 0x00007fd3735f1e70, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "user_id", lookup_key: Simple { key: "user_id", py_key: Py( 0x00007fd374055920, ), path: LookupPath( [ S( "user_id", Py( 0x00007fd374055950, ), ), ], ), }, name_py: Py( 0x00007fd3741451a0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd3735d9040, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "volume", lookup_key: Simple { key: "volume", py_key: Py( 0x00007fd374055980, ), path: LookupPath( [ S( "volume", Py( 0x00007fd3740559b0, ), ), ], ), }, name_py: Py( 0x00007fd377e22ad8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), name: "nullable[float]", }, ), validate_default: false, copy_default: false, name: "default[nullable[float]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, ], model_name: "OptionFileVolume", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938be2a100, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionFileVolume", }, ), definitions=[], cache_strings=True)[source]
The
pydantic-coreSchemaValidatorused to validate instances of the model.
- __repr_recursion__(object)[source]
Returns the string representation of a recursive object.
- Return type:
- __rich_repr__()[source]
Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.
- __signature__: ClassVar[Signature] = <Signature (*, completed_at: Optional[datetime.datetime] = None, created_at: datetime.datetime, error: Optional[str] = None, id: kittycad.models.uuid.Uuid, output_unit: kittycad.models.unit_volume.UnitVolume, src_format: kittycad.models.file_import_format.FileImportFormat, started_at: Optional[datetime.datetime] = None, status: kittycad.models.api_call_status.ApiCallStatus, type: Literal['file_volume'] = 'file_volume', updated_at: datetime.datetime, user_id: kittycad.models.uuid.Uuid, volume: Optional[float] = None) -> None>[source]
The synthesized
__init__[Signature][inspect.Signature] of the model.
- __slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')[source]
- 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_copyinstead.
If you need
includeorexclude, use:`python {test="skip" lint="skip"} 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.
- dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)[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:
- 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
Modelclass 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 themodel_config.extrasetting on the provided model. That is, ifmodel_config.extra == 'allow', then all extra passed values are added to the model instance’s__dict__and__pydantic_extra__fields. Ifmodel_config.extra == 'ignore'(the default), then all extra passed values are ignored. Because no validation is performed with a call tomodel_construct(), havingmodel_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 thevaluesargument will be used.values (
Any) – Trusted or pre-validated data dictionary.
- Return type:
Self- Returns:
A new instance of the
Modelclass with validated data.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#model_copy
Returns a copy of the model.
- 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/2.10/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 whichto_pythonshould 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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/2.10/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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
Noneifconfig.extrais not set to"allow".
- model_fields: ClassVar[dict[str, FieldInfo]] = {'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'output_unit': FieldInfo(annotation=UnitVolume, required=True), 'src_format': FieldInfo(annotation=FileImportFormat, required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['file_volume'], required=False, default='file_volume'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True), 'volume': FieldInfo(annotation=Union[float, NoneType], required=False, default=None)}[source]
- 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 ofGenerateJsonSchemawith your desired modificationsmode (
Literal['validation','serialization']) – The mode in which to generate the schema.
- Return type:
- 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 classModelwith 2 type variables and a concrete modelModel[str, int], the value(str, int)would be passed toparams.- Return type:
- Returns:
String representing the new class where
paramsare passed toclsas 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__andmodel_construct. This is useful if you want to do some validation that requires the entire model to be initialized.- Return type:
- 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 toFalse.raise_errors (
bool) – Whether to raise errors, defaults toTrue._parent_namespace_depth (
int) – The depth level of the parent namespace, defaults to 2._types_namespace (
Optional[Mapping[str,Any]]) – The types namespace, defaults toNone.
- Return type:
- Returns:
Returns
Noneif the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returnsTrueif rebuilding was successful, otherwiseFalse.
- classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)[source]
Validate a pydantic model instance.
- Parameters:
- 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/2.10/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValidationError – If
json_datais 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.
-
output_unit:
UnitVolume[source]
- classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)[source]
- Return type:
-
src_format:
FileImportFormat[source]
-
status:
ApiCallStatus[source]
- class kittycad.models.async_api_call_output.OptionTextToCad(**data)[source][source]
Text to CAD.
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.selfis explicitly positional-only to allowselfas a field name.- __annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[Dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_computed_fields__': 'ClassVar[Dict[str, ComputedFieldInfo]]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields__': 'ClassVar[Dict[str, FieldInfo]]', '__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]', 'code': typing.Optional[str], 'completed_at': typing.Optional[datetime.datetime], 'created_at': <class 'datetime.datetime'>, 'error': typing.Optional[str], 'feedback': typing.Optional[kittycad.models.ml_feedback.MlFeedback], 'id': <class 'kittycad.models.uuid.Uuid'>, 'model': <enum 'TextToCadModel'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'model_version': <class 'str'>, 'output_format': <enum 'FileExportFormat'>, 'outputs': typing.Optional[typing.Dict[str, kittycad.models.base64data.Base64Data]], 'prompt': <class 'str'>, 'started_at': typing.Optional[datetime.datetime], 'status': <enum 'ApiCallStatus'>, 'type': typing.Literal['text_to_cad'], 'updated_at': <class 'datetime.datetime'>, 'user_id': <class 'kittycad.models.uuid.Uuid'>}[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.
- 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 theclsargument if this is a classmethod.handler (
GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.
- Return type:
Union[InvalidSchema,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-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[InvalidSchema,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]) – Apydantic-coreCoreSchema. 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 apydantic.errors.PydanticInvalidForJsonSchemaif JSON schema generation fails. Since this gets called byBaseModel.model_json_schemayou can override theschema_generatorargument to that function to change JSON schema generation globally for a type.
- Return type:
- Returns:
A JSON schema, as a Python object.
- __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.selfis explicitly positional-only to allowselfas a field name.
- __pretty__(fmt, **kwargs)[source]
Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.
- __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_computed_fields__: ClassVar[Dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding [
ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.async_api_call_output.OptionTextToCad'>, 'config': {'title': 'OptionTextToCad'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.OptionTextToCad'>>]}, 'ref': 'kittycad.models.async_api_call_output.OptionTextToCad:94092182765136', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'code': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'completed_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'error': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'feedback': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'cls': <enum 'MlFeedback'>, 'members': [MlFeedback.THUMBS_UP, MlFeedback.THUMBS_DOWN, MlFeedback.ACCEPTED, MlFeedback.REJECTED], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.ml_feedback.MlFeedback:94092191859472', 'sub_type': 'str', 'type': 'enum'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'model': {'metadata': {}, 'schema': {'cls': <enum 'TextToCadModel'>, 'members': [TextToCadModel.CAD, TextToCadModel.KCL, TextToCadModel.KCL_ITERATION], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.text_to_cad_model.TextToCadModel:94092194315552', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'model_version': {'metadata': {}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'output_format': {'metadata': {}, 'schema': {'cls': <enum 'FileExportFormat'>, 'members': [FileExportFormat.FBX, FileExportFormat.GLB, FileExportFormat.GLTF, FileExportFormat.OBJ, FileExportFormat.PLY, FileExportFormat.STEP, FileExportFormat.STL], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_export_format.FileExportFormat:94092193076288', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'outputs': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'keys_schema': {'type': 'str'}, 'type': 'dict', 'values_schema': {'function': {'function': <bound method Base64Data.validate of <class 'kittycad.models.base64data.Base64Data'>>, 'type': 'no-info'}, 'schema': {'choices': [{'type': 'str'}, {'type': 'bytes'}], 'type': 'union'}, 'serialization': {'function': <bound method Base64Data.serialize of <class 'kittycad.models.base64data.Base64Data'>>, 'type': 'function-plain'}, 'type': 'function-after'}}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'prompt': {'metadata': {}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'started_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:94092195505552', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'text_to_cad', 'schema': {'expected': ['text_to_cad'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'OptionTextToCad', 'type': 'model-fields'}, 'type': 'model'}[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__andModel.__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__: ClassVar[Dict[str, FieldInfo]] = {'code': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'feedback': FieldInfo(annotation=Union[MlFeedback, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'model': FieldInfo(annotation=TextToCadModel, required=True), 'model_version': FieldInfo(annotation=str, required=True), 'output_format': FieldInfo(annotation=FileExportFormat, required=True), 'outputs': FieldInfo(annotation=Union[Dict[str, Base64Data], NoneType], required=False, default=None), 'prompt': FieldInfo(annotation=str, required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['text_to_cad'], required=False, default='text_to_cad'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
A dictionary of field names and their corresponding [
FieldInfo][pydantic.fields.FieldInfo] objects. This replacesModel.__fields__from Pydantic V1.
- __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 byModelMetaclassonly after the class is actually fully initialized. In particular, attributes likemodel_fieldswill be present when this is called.This is necessary because
__init_subclass__will always be called bytype.__new__, and it would require a prohibitively large refactor to theModelMetaclassto ensure thattype.__new__was called in such a manner that the class would already be sufficiently initialized.This will receive the same
kwargsthat would be passed to the standard__init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.
- __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( 0x000055938b213e50, ), serializer: Fields( GeneralFieldsSerializer { fields: { "status": SerField { key_py: Py( 0x00007fd377e22030, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938be3a590, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "output_format": SerField { key_py: Py( 0x00007fd37414c870, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bbe9440, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "outputs": SerField { key_py: Py( 0x00007fd3740487e0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Dict( DictSerializer { key_serializer: Str( StrSerializer, ), value_serializer: Function( FunctionPlainSerializer { func: Py( 0x00007fd373f34740, ), name: "plain_function[serialize]", function_name: "serialize", return_serializer: Any( AnySerializer, ), fallback_serializer: None, when_used: Always, is_field_serializer: false, info_arg: false, }, ), filter: SchemaFilter { include: None, exclude: None, }, name: "dict[str, plain_function[serialize]]", }, ), }, ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007fd3735f1e70, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "model_version": SerField { key_py: Py( 0x00007fd373ef3130, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007fd373601470, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "prompt": SerField { key_py: Py( 0x00007fd377d96ba0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007fd377d7b040, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007fd377e1f3d0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007fd3735f1ff0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007fd3741451a0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007fd373601430, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "feedback": SerField { key_py: Py( 0x00007fd373ef3170, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Enum( EnumSerializer { class: Py( 0x000055938bac0310, ), serializer: Some( Str( StrSerializer, ), ), }, ), }, ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd37414feb0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "text_to_cad", }, expected_py: None, name: "literal['text_to_cad']", }, ), }, ), ), required: true, }, "code": SerField { key_py: Py( 0x00007fd377e1dcf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "model": SerField { key_py: Py( 0x00007fd374f681e0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bd17d20, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 16, }, ), has_extra: false, root_model: false, name: "OptionTextToCad", }, ), definitions=[])[source]
The
pydantic-coreSchemaSerializerused to dump instances of the model.
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="OptionTextToCad", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "code", lookup_key: Simple { key: "code", py_key: Py( 0x00007fd374055ce0, ), path: LookupPath( [ S( "code", Py( 0x00007fd374055d40, ), ), ], ), }, name_py: Py( 0x00007fd377e1dcf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), 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( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007fd3735bacb0, ), path: LookupPath( [ S( "completed_at", Py( 0x00007fd3735bacf0, ), ), ], ), }, name_py: Py( 0x00007fd373601470, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007fd3735bac30, ), path: LookupPath( [ S( "created_at", Py( 0x00007fd3735bac70, ), ), ], ), }, name_py: Py( 0x00007fd373601430, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007fd374055b00, ), path: LookupPath( [ S( "error", Py( 0x00007fd374055d10, ), ), ], ), }, name_py: Py( 0x00007fd377d7b040, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), 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( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "feedback", lookup_key: Simple { key: "feedback", py_key: Py( 0x00007fd3735bab70, ), path: LookupPath( [ S( "feedback", Py( 0x00007fd3735bab30, ), ), ], ), }, name_py: Py( 0x00007fd373ef3170, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bac0310, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "thumbs_down": 1, "thumbs_up": 0, "rejected": 3, "accepted": 2, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735babc0, ), ), values: [ Py( 0x00007fd3737c4530, ), Py( 0x00007fd3737c4590, ), Py( 0x00007fd3737c45f0, ), Py( 0x00007fd3737c4650, ), ], }, missing: None, expected_repr: "'thumbs_up', 'thumbs_down', 'accepted' or 'rejected'", strict: false, class_repr: "MlFeedback", name: "str-enum[MlFeedback]", }, ), name: "nullable[str-enum[MlFeedback]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[str-enum[MlFeedback]]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007fd374055cb0, ), path: LookupPath( [ S( "id", Py( 0x00007fd374055c50, ), ), ], ), }, name_py: Py( 0x00007fd377e1f3d0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd3735bad80, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "model", lookup_key: Simple { key: "model", py_key: Py( 0x00007fd3740562e0, ), path: LookupPath( [ S( "model", Py( 0x00007fd374055a70, ), ), ], ), }, name_py: Py( 0x00007fd374f681e0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bd17d20, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "cad": 0, "kcl_iteration": 2, "kcl": 1, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735bab00, ), ), values: [ Py( 0x00007fd3737c4770, ), Py( 0x00007fd3737c5df0, ), Py( 0x00007fd3737c6090, ), ], }, missing: None, expected_repr: "'cad', 'kcl' or 'kcl_iteration'", strict: false, class_repr: "TextToCadModel", name: "str-enum[TextToCadModel]", }, ), frozen: false, }, Field { name: "model_version", lookup_key: Simple { key: "model_version", py_key: Py( 0x00007fd3735baab0, ), path: LookupPath( [ S( "model_version", Py( 0x00007fd3735baa70, ), ), ], ), }, name_py: Py( 0x00007fd373ef3130, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "output_format", lookup_key: Simple { key: "output_format", py_key: Py( 0x00007fd3735ba9f0, ), path: LookupPath( [ S( "output_format", Py( 0x00007fd3735ba9b0, ), ), ], ), }, name_py: Py( 0x00007fd37414c870, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bbe9440, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "obj": 3, "glb": 1, "fbx": 0, "ply": 4, "step": 5, "stl": 6, "gltf": 2, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735baa40, ), ), values: [ Py( 0x00007fd37380ebd0, ), Py( 0x00007fd37380ec30, ), Py( 0x00007fd37380ec90, ), Py( 0x00007fd37380ecf0, ), Py( 0x00007fd37380ed50, ), Py( 0x00007fd37380edb0, ), Py( 0x00007fd37380ee10, ), ], }, missing: None, expected_repr: "'fbx', 'glb', 'gltf', 'obj', 'ply', 'step' or 'stl'", strict: false, class_repr: "FileExportFormat", name: "str-enum[FileExportFormat]", }, ), frozen: false, }, Field { name: "outputs", lookup_key: Simple { key: "outputs", py_key: Py( 0x00007fd3740564f0, ), path: LookupPath( [ S( "outputs", Py( 0x00007fd374056520, ), ), ], ), }, name_py: Py( 0x00007fd3740487e0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Dict( DictValidator { strict: false, key_validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), value_validator: FunctionAfter( FunctionAfterValidator { validator: Union( UnionValidator { mode: Smart, choices: [ ( Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), None, ), ( Bytes( BytesValidator { strict: false, bytes_mode: ValBytesMode { ser: Utf8, }, }, ), None, ), ], custom_error: None, strict: false, name: "union[str,bytes]", }, ), func: Py( 0x00007fd3735c09c0, ), config: Py( 0x00007fd3735bad80, ), name: "function-after[validate(), union[str,bytes]]", field_name: None, info_arg: false, }, ), min_length: None, max_length: None, name: "dict[str,function-after[validate(), union[str,bytes]]]", }, ), name: "nullable[dict[str,function-after[validate(), union[str,bytes]]]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[dict[str,function-after[validate(), union[str,bytes]]]]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "prompt", lookup_key: Simple { key: "prompt", py_key: Py( 0x00007fd374056550, ), path: LookupPath( [ S( "prompt", Py( 0x00007fd374056490, ), ), ], ), }, name_py: Py( 0x00007fd377d96ba0, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "started_at", lookup_key: Simple { key: "started_at", py_key: Py( 0x00007fd3735ba970, ), path: LookupPath( [ S( "started_at", Py( 0x00007fd3735ba930, ), ), ], ), }, name_py: Py( 0x00007fd3735f1ff0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007fd374056430, ), path: LookupPath( [ S( "status", Py( 0x00007fd3740566d0, ), ), ], ), }, name_py: Py( 0x00007fd377e22030, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938be3a590, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "queued": 0, "completed": 3, "failed": 4, "in_progress": 2, "uploaded": 1, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735ba900, ), ), values: [ Py( 0x00007fd37380d130, ), Py( 0x00007fd37380d190, ), Py( 0x00007fd37380d250, ), Py( 0x00007fd37380d2b0, ), Py( 0x00007fd37380d310, ), ], }, missing: None, expected_repr: "'queued', 'uploaded', 'in_progress', 'completed' or 'failed'", strict: false, class_repr: "ApiCallStatus", name: "str-enum[ApiCallStatus]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd374056580, ), path: LookupPath( [ S( "type", Py( 0x00007fd3740565b0, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd37414feb0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "text_to_cad": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735ba8c0, ), ), values: [ Py( 0x00007fd37414feb0, ), ], }, expected_repr: "'text_to_cad'", name: "literal['text_to_cad']", }, ), validate_default: false, copy_default: false, name: "default[literal['text_to_cad']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007fd3735ba870, ), path: LookupPath( [ S( "updated_at", Py( 0x00007fd3735ba830, ), ), ], ), }, name_py: Py( 0x00007fd3735f1e70, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "user_id", lookup_key: Simple { key: "user_id", py_key: Py( 0x00007fd374056760, ), path: LookupPath( [ S( "user_id", Py( 0x00007fd374056790, ), ), ], ), }, name_py: Py( 0x00007fd3741451a0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd3735bad80, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "OptionTextToCad", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938b213e50, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionTextToCad", }, ), definitions=[], cache_strings=True)[source]
The
pydantic-coreSchemaValidatorused to validate instances of the model.
- __repr_recursion__(object)[source]
Returns the string representation of a recursive object.
- Return type:
- __rich_repr__()[source]
Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.
- __signature__: ClassVar[Signature] = <Signature (*, code: Optional[str] = None, completed_at: Optional[datetime.datetime] = None, created_at: datetime.datetime, error: Optional[str] = None, feedback: Optional[kittycad.models.ml_feedback.MlFeedback] = None, id: kittycad.models.uuid.Uuid, model: kittycad.models.text_to_cad_model.TextToCadModel, model_version: str, output_format: kittycad.models.file_export_format.FileExportFormat, outputs: Optional[Dict[str, kittycad.models.base64data.Base64Data]] = None, prompt: str, started_at: Optional[datetime.datetime] = None, status: kittycad.models.api_call_status.ApiCallStatus, type: Literal['text_to_cad'] = 'text_to_cad', updated_at: datetime.datetime, user_id: kittycad.models.uuid.Uuid) -> None>[source]
The synthesized
__init__[Signature][inspect.Signature] of the model.
- __slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')[source]
- 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_copyinstead.
If you need
includeorexclude, use:`python {test="skip" lint="skip"} 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.
- dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)[source]
-
feedback:
Optional[MlFeedback][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:
-
model:
TextToCadModel[source]
- 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
Modelclass 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 themodel_config.extrasetting on the provided model. That is, ifmodel_config.extra == 'allow', then all extra passed values are added to the model instance’s__dict__and__pydantic_extra__fields. Ifmodel_config.extra == 'ignore'(the default), then all extra passed values are ignored. Because no validation is performed with a call tomodel_construct(), havingmodel_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 thevaluesargument will be used.values (
Any) – Trusted or pre-validated data dictionary.
- Return type:
Self- Returns:
A new instance of the
Modelclass with validated data.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#model_copy
Returns a copy of the model.
- 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/2.10/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 whichto_pythonshould 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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/2.10/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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
Noneifconfig.extrais not set to"allow".
- model_fields: ClassVar[dict[str, FieldInfo]] = {'code': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'feedback': FieldInfo(annotation=Union[MlFeedback, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'model': FieldInfo(annotation=TextToCadModel, required=True), 'model_version': FieldInfo(annotation=str, required=True), 'output_format': FieldInfo(annotation=FileExportFormat, required=True), 'outputs': FieldInfo(annotation=Union[Dict[str, Base64Data], NoneType], required=False, default=None), 'prompt': FieldInfo(annotation=str, required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['text_to_cad'], required=False, default='text_to_cad'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
- 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 ofGenerateJsonSchemawith your desired modificationsmode (
Literal['validation','serialization']) – The mode in which to generate the schema.
- Return type:
- 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 classModelwith 2 type variables and a concrete modelModel[str, int], the value(str, int)would be passed toparams.- Return type:
- Returns:
String representing the new class where
paramsare passed toclsas 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__andmodel_construct. This is useful if you want to do some validation that requires the entire model to be initialized.- Return type:
- 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 toFalse.raise_errors (
bool) – Whether to raise errors, defaults toTrue._parent_namespace_depth (
int) – The depth level of the parent namespace, defaults to 2._types_namespace (
Optional[Mapping[str,Any]]) – The types namespace, defaults toNone.
- Return type:
- Returns:
Returns
Noneif the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returnsTrueif rebuilding was successful, otherwiseFalse.
- classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)[source]
Validate a pydantic model instance.
- Parameters:
- 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/2.10/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValidationError – If
json_datais 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.
-
output_format:
FileExportFormat[source]
- classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)[source]
- Return type:
-
status:
ApiCallStatus[source]
- class kittycad.models.async_api_call_output.OptionTextToCadIteration(**data)[source][source]
Text to CAD iteration.
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.selfis explicitly positional-only to allowselfas a field name.- __annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[Dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_computed_fields__': 'ClassVar[Dict[str, ComputedFieldInfo]]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields__': 'ClassVar[Dict[str, FieldInfo]]', '__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]', 'code': <class 'str'>, 'completed_at': typing.Optional[datetime.datetime], 'created_at': <class 'datetime.datetime'>, 'error': typing.Optional[str], 'feedback': typing.Optional[kittycad.models.ml_feedback.MlFeedback], 'id': <class 'kittycad.models.uuid.Uuid'>, 'model': <enum 'TextToCadModel'>, 'model_computed_fields': 'ClassVar[dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'model_version': <class 'str'>, 'original_source_code': <class 'str'>, 'prompt': typing.Optional[str], 'source_ranges': typing.List[kittycad.models.source_range_prompt.SourceRangePrompt], 'started_at': typing.Optional[datetime.datetime], 'status': <enum 'ApiCallStatus'>, 'type': typing.Literal['text_to_cad_iteration'], 'updated_at': <class 'datetime.datetime'>, 'user_id': <class 'kittycad.models.uuid.Uuid'>}[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.
- 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 theclsargument if this is a classmethod.handler (
GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.
- Return type:
Union[InvalidSchema,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-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[InvalidSchema,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]) – Apydantic-coreCoreSchema. 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 apydantic.errors.PydanticInvalidForJsonSchemaif JSON schema generation fails. Since this gets called byBaseModel.model_json_schemayou can override theschema_generatorargument to that function to change JSON schema generation globally for a type.
- Return type:
- Returns:
A JSON schema, as a Python object.
- __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.selfis explicitly positional-only to allowselfas a field name.
- __pretty__(fmt, **kwargs)[source]
Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.
- __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_computed_fields__: ClassVar[Dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding [
ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.source_position.SourcePosition'>, 'config': {'title': 'SourcePosition'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.source_position.SourcePosition'>>]}, 'ref': 'kittycad.models.source_position.SourcePosition:94092194281712', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'column': {'metadata': {}, 'schema': {'type': 'int'}, 'type': 'model-field'}, 'line': {'metadata': {}, 'schema': {'type': 'int'}, 'type': 'model-field'}}, 'model_name': 'SourcePosition', 'type': 'model-fields'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.async_api_call_output.OptionTextToCadIteration'>, 'config': {'title': 'OptionTextToCadIteration'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.OptionTextToCadIteration'>>]}, 'ref': 'kittycad.models.async_api_call_output.OptionTextToCadIteration:94092182819984', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'code': {'metadata': {}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'completed_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'error': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'feedback': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'cls': <enum 'MlFeedback'>, 'members': [MlFeedback.THUMBS_UP, MlFeedback.THUMBS_DOWN, MlFeedback.ACCEPTED, MlFeedback.REJECTED], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.ml_feedback.MlFeedback:94092191859472', 'sub_type': 'str', 'type': 'enum'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'model': {'metadata': {}, 'schema': {'cls': <enum 'TextToCadModel'>, 'members': [TextToCadModel.CAD, TextToCadModel.KCL, TextToCadModel.KCL_ITERATION], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.text_to_cad_model.TextToCadModel:94092194315552', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'model_version': {'metadata': {}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'original_source_code': {'metadata': {}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'prompt': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'source_ranges': {'metadata': {}, 'schema': {'items_schema': {'cls': <class 'kittycad.models.source_range_prompt.SourceRangePrompt'>, 'config': {'title': 'SourceRangePrompt'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.source_range_prompt.SourceRangePrompt'>>]}, 'ref': 'kittycad.models.source_range_prompt.SourceRangePrompt:94092194299760', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'prompt': {'metadata': {}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'range': {'metadata': {}, 'schema': {'cls': <class 'kittycad.models.source_range.SourceRange'>, 'config': {'title': 'SourceRange'}, 'custom_init': False, 'metadata': {'pydantic_js_functions': [<bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.source_range.SourceRange'>>]}, 'ref': 'kittycad.models.source_range.SourceRange:94092194287504', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'end': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.source_position.SourcePosition:94092194281712', 'type': 'definition-ref'}, 'type': 'model-field'}, 'start': {'metadata': {}, 'schema': {'schema_ref': 'kittycad.models.source_position.SourcePosition:94092194281712', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'SourceRange', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}}, 'model_name': 'SourceRangePrompt', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'list'}, 'type': 'model-field'}, 'started_at': {'metadata': {}, 'schema': {'default': None, 'schema': {'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:94092195505552', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {}, 'schema': {'default': 'text_to_cad_iteration', 'schema': {'expected': ['text_to_cad_iteration'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {}, 'schema': {'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'OptionTextToCadIteration', '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__andModel.__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__: ClassVar[Dict[str, FieldInfo]] = {'code': FieldInfo(annotation=str, required=True), 'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'feedback': FieldInfo(annotation=Union[MlFeedback, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'model': FieldInfo(annotation=TextToCadModel, required=True), 'model_version': FieldInfo(annotation=str, required=True), 'original_source_code': FieldInfo(annotation=str, required=True), 'prompt': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'source_ranges': FieldInfo(annotation=List[SourceRangePrompt], required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['text_to_cad_iteration'], required=False, default='text_to_cad_iteration'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
A dictionary of field names and their corresponding [
FieldInfo][pydantic.fields.FieldInfo] objects. This replacesModel.__fields__from Pydantic V1.
- __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 byModelMetaclassonly after the class is actually fully initialized. In particular, attributes likemodel_fieldswill be present when this is called.This is necessary because
__init_subclass__will always be called bytype.__new__, and it would require a prohibitively large refactor to theModelMetaclassto ensure thattype.__new__was called in such a manner that the class would already be sufficiently initialized.This will receive the same
kwargsthat would be passed to the standard__init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.
- __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( 0x000055938b221490, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fd377e22880, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd3741500b0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "text_to_cad_iteration", }, expected_py: None, name: "literal['text_to_cad_iteration']", }, ), }, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007fd3741451a0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "model_version": SerField { key_py: Py( 0x00007fd373ef3130, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007fd377d7b040, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007fd3735f1ff0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "model": SerField { key_py: Py( 0x00007fd374f681e0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938bd17d20, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007fd377e1f3d0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007fd3735f1e70, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "feedback": SerField { key_py: Py( 0x00007fd373ef3170, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Enum( EnumSerializer { class: Py( 0x000055938bac0310, ), serializer: Some( Str( StrSerializer, ), ), }, ), }, ), }, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007fd373601470, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "prompt": SerField { key_py: Py( 0x00007fd377d96ba0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fd377d2d100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007fd377e22030, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x000055938be3a590, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007fd373601430, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "original_source_code": SerField { key_py: Py( 0x00007fd373f32c30, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "source_ranges": SerField { key_py: Py( 0x00007fd374070c70, ), alias: None, alias_py: None, serializer: Some( List( ListSerializer { item_serializer: Model( ModelSerializer { class: Py( 0x000055938bd13f70, ), serializer: Fields( GeneralFieldsSerializer { fields: { "prompt": SerField { key_py: Py( 0x00007fd377d96ba0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "range": SerField { key_py: Py( 0x00007fd377d9db80, ), alias: None, alias_py: None, serializer: Some( Model( ModelSerializer { class: Py( 0x000055938bd10f90, ), serializer: Fields( GeneralFieldsSerializer { fields: { "start": SerField { key_py: Py( 0x00007fd377e21fc8, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "end": SerField { key_py: Py( 0x00007fd377e1e648, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), 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: "SourceRange", }, ), ), 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: "SourceRangePrompt", }, ), filter: SchemaFilter { include: None, exclude: None, }, name: "list[SourceRangePrompt]", }, ), ), required: true, }, "code": SerField { key_py: Py( 0x00007fd377e1dcf8, ), 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: 16, }, ), has_extra: false, root_model: false, name: "OptionTextToCadIteration", }, ), definitions=[Model(ModelSerializer { class: Py(0x55938bd0f8f0), serializer: Fields(GeneralFieldsSerializer { fields: {"line": SerField { key_py: Py(0x7fd377e1ff18), alias: None, alias_py: None, serializer: Some(Int(IntSerializer)), required: true }, "column": SerField { key_py: Py(0x7fd376f8f4e0), alias: None, alias_py: None, serializer: Some(Int(IntSerializer)), 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: "SourcePosition" })])[source]
The
pydantic-coreSchemaSerializerused to dump instances of the model.
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="OptionTextToCadIteration", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "code", lookup_key: Simple { key: "code", py_key: Py( 0x00007fd374056dc0, ), path: LookupPath( [ S( "code", Py( 0x00007fd374056df0, ), ), ], ), }, name_py: Py( 0x00007fd377e1dcf8, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007fd373f312b0, ), path: LookupPath( [ S( "completed_at", Py( 0x00007fd3735aa4f0, ), ), ], ), }, name_py: Py( 0x00007fd373601470, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007fd3735aa470, ), path: LookupPath( [ S( "created_at", Py( 0x00007fd3735aa4b0, ), ), ], ), }, name_py: Py( 0x00007fd373601430, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007fd374056e20, ), path: LookupPath( [ S( "error", Py( 0x00007fd374056e50, ), ), ], ), }, name_py: Py( 0x00007fd377d7b040, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), 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( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "feedback", lookup_key: Simple { key: "feedback", py_key: Py( 0x00007fd3735aa3f0, ), path: LookupPath( [ S( "feedback", Py( 0x00007fd3735aa3b0, ), ), ], ), }, name_py: Py( 0x00007fd373ef3170, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bac0310, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "rejected": 3, "thumbs_up": 0, "thumbs_down": 1, "accepted": 2, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735aa440, ), ), values: [ Py( 0x00007fd3737c4530, ), Py( 0x00007fd3737c4590, ), Py( 0x00007fd3737c45f0, ), Py( 0x00007fd3737c4650, ), ], }, missing: None, expected_repr: "'thumbs_up', 'thumbs_down', 'accepted' or 'rejected'", strict: false, class_repr: "MlFeedback", name: "str-enum[MlFeedback]", }, ), name: "nullable[str-enum[MlFeedback]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[str-enum[MlFeedback]]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007fd374056e80, ), path: LookupPath( [ S( "id", Py( 0x00007fd374056eb0, ), ), ], ), }, name_py: Py( 0x00007fd377e1f3d0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd3735aa840, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "model", lookup_key: Simple { key: "model", py_key: Py( 0x00007fd374056ee0, ), path: LookupPath( [ S( "model", Py( 0x00007fd374056f10, ), ), ], ), }, name_py: Py( 0x00007fd374f681e0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938bd17d20, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "kcl": 1, "kcl_iteration": 2, "cad": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735aa380, ), ), values: [ Py( 0x00007fd3737c4770, ), Py( 0x00007fd3737c5df0, ), Py( 0x00007fd3737c6090, ), ], }, missing: None, expected_repr: "'cad', 'kcl' or 'kcl_iteration'", strict: false, class_repr: "TextToCadModel", name: "str-enum[TextToCadModel]", }, ), frozen: false, }, Field { name: "model_version", lookup_key: Simple { key: "model_version", py_key: Py( 0x00007fd3735aa330, ), path: LookupPath( [ S( "model_version", Py( 0x00007fd3735aa2f0, ), ), ], ), }, name_py: Py( 0x00007fd373ef3130, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "original_source_code", lookup_key: Simple { key: "original_source_code", py_key: Py( 0x00007fd3735aa2b0, ), path: LookupPath( [ S( "original_source_code", Py( 0x00007fd3735aa270, ), ), ], ), }, name_py: Py( 0x00007fd373f32c30, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "prompt", lookup_key: Simple { key: "prompt", py_key: Py( 0x00007fd374056f40, ), path: LookupPath( [ S( "prompt", Py( 0x00007fd374056f70, ), ), ], ), }, name_py: Py( 0x00007fd377d96ba0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), 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( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "source_ranges", lookup_key: Simple { key: "source_ranges", py_key: Py( 0x00007fd3735aa230, ), path: LookupPath( [ S( "source_ranges", Py( 0x00007fd3735aa1f0, ), ), ], ), }, name_py: Py( 0x00007fd374070c70, ), validator: List( ListValidator { strict: false, item_validator: Some( Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "prompt", lookup_key: Simple { key: "prompt", py_key: Py( 0x00007fd374056fa0, ), path: LookupPath( [ S( "prompt", Py( 0x00007fd374056fd0, ), ), ], ), }, name_py: Py( 0x00007fd377d96ba0, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "range", lookup_key: Simple { key: "range", py_key: Py( 0x00007fd3740570c0, ), path: LookupPath( [ S( "range", Py( 0x00007fd3740570f0, ), ), ], ), }, name_py: Py( 0x00007fd377d9db80, ), validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "end", lookup_key: Simple { key: "end", py_key: Py( 0x00007fd374057000, ), path: LookupPath( [ S( "end", Py( 0x00007fd374057030, ), ), ], ), }, name_py: Py( 0x00007fd377e1e648, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "start", lookup_key: Simple { key: "start", py_key: Py( 0x00007fd374057060, ), path: LookupPath( [ S( "start", Py( 0x00007fd374057090, ), ), ], ), }, name_py: Py( 0x00007fd377e21fc8, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "SourceRange", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938bd10f90, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "SourceRange", }, ), frozen: false, }, ], model_name: "SourceRangePrompt", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938bd13f70, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "SourceRangePrompt", }, ), ), min_length: None, max_length: None, name: OnceLock( <uninit>, ), fail_fast: false, }, ), frozen: false, }, Field { name: "started_at", lookup_key: Simple { key: "started_at", py_key: Py( 0x00007fd3735aa1b0, ), path: LookupPath( [ S( "started_at", Py( 0x00007fd3735aa170, ), ), ], ), }, name_py: Py( 0x00007fd3735f1ff0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd377d2d100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), name: "nullable[datetime]", }, ), validate_default: false, copy_default: false, name: "default[nullable[datetime]]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007fd374057120, ), path: LookupPath( [ S( "status", Py( 0x00007fd374057150, ), ), ], ), }, name_py: Py( 0x00007fd377e22030, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x000055938be3a590, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "completed": 3, "failed": 4, "uploaded": 1, "in_progress": 2, "queued": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735aa140, ), ), values: [ Py( 0x00007fd37380d130, ), Py( 0x00007fd37380d190, ), Py( 0x00007fd37380d250, ), Py( 0x00007fd37380d2b0, ), Py( 0x00007fd37380d310, ), ], }, missing: None, expected_repr: "'queued', 'uploaded', 'in_progress', 'completed' or 'failed'", strict: false, class_repr: "ApiCallStatus", name: "str-enum[ApiCallStatus]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fd374057180, ), path: LookupPath( [ S( "type", Py( 0x00007fd3740571b0, ), ), ], ), }, name_py: Py( 0x00007fd377e22880, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fd3741500b0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "text_to_cad_iteration": 0, }, ), expected_py_dict: None, expected_py_values: None, expected_py_primitives: Some( Py( 0x00007fd3735aa100, ), ), values: [ Py( 0x00007fd3741500b0, ), ], }, expected_repr: "'text_to_cad_iteration'", name: "literal['text_to_cad_iteration']", }, ), validate_default: false, copy_default: false, name: "default[literal['text_to_cad_iteration']]", undefined: Py( 0x00007fd375de63d0, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007fd3735aa0b0, ), path: LookupPath( [ S( "updated_at", Py( 0x00007fd3735aa070, ), ), ], ), }, name_py: Py( 0x00007fd3735f1e70, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "user_id", lookup_key: Simple { key: "user_id", py_key: Py( 0x00007fd3740571e0, ), path: LookupPath( [ S( "user_id", Py( 0x00007fd374057210, ), ), ], ), }, name_py: Py( 0x00007fd3741451a0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x000055938b2365c0, ), config: Py( 0x00007fd3735aa840, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "OptionTextToCadIteration", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000055938b221490, ), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007fd375de63d0, ), name: "OptionTextToCadIteration", }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "column", lookup_key: Simple { key: "column", py_key: Py(0x7fd374056ca0), path: LookupPath([S("column", Py(0x7fd374056be0))]) }, name_py: Py(0x7fd376f8f4e0), validator: Int(IntValidator { strict: false }), frozen: false }, Field { name: "line", lookup_key: Simple { key: "line", py_key: Py(0x7fd374056d60), path: LookupPath([S("line", Py(0x7fd374056d90))]) }, name_py: Py(0x7fd377e1ff18), validator: Int(IntValidator { strict: false }), frozen: false }], model_name: "SourcePosition", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x55938bd0f8f0), generic_origin: None, post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7fd375de63d0), name: "SourcePosition" })], cache_strings=True)[source]
The
pydantic-coreSchemaValidatorused to validate instances of the model.
- __repr_recursion__(object)[source]
Returns the string representation of a recursive object.
- Return type:
- __rich_repr__()[source]
Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.
- __signature__: ClassVar[Signature] = <Signature (*, code: str, completed_at: Optional[datetime.datetime] = None, created_at: datetime.datetime, error: Optional[str] = None, feedback: Optional[kittycad.models.ml_feedback.MlFeedback] = None, id: kittycad.models.uuid.Uuid, model: kittycad.models.text_to_cad_model.TextToCadModel, model_version: str, original_source_code: str, prompt: Optional[str] = None, source_ranges: List[kittycad.models.source_range_prompt.SourceRangePrompt], started_at: Optional[datetime.datetime] = None, status: kittycad.models.api_call_status.ApiCallStatus, type: Literal['text_to_cad_iteration'] = 'text_to_cad_iteration', updated_at: datetime.datetime, user_id: kittycad.models.uuid.Uuid) -> None>[source]
The synthesized
__init__[Signature][inspect.Signature] of the model.
- __slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')[source]
- 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_copyinstead.
If you need
includeorexclude, use:`python {test="skip" lint="skip"} 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.
- dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)[source]
-
feedback:
Optional[MlFeedback][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:
-
model:
TextToCadModel[source]
- 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
Modelclass 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 themodel_config.extrasetting on the provided model. That is, ifmodel_config.extra == 'allow', then all extra passed values are added to the model instance’s__dict__and__pydantic_extra__fields. Ifmodel_config.extra == 'ignore'(the default), then all extra passed values are ignored. Because no validation is performed with a call tomodel_construct(), havingmodel_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 thevaluesargument will be used.values (
Any) – Trusted or pre-validated data dictionary.
- Return type:
Self- Returns:
A new instance of the
Modelclass with validated data.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#model_copy
Returns a copy of the model.
- 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/2.10/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 whichto_pythonshould 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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/2.10/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- 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],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Mapping[int,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[str,Union[IncEx,bool]],bool]],Mapping[str,Union[Set[int],Set[str],Mapping[int,Union[IncEx,bool]],Mapping[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 ofNone.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:
- 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
Noneifconfig.extrais not set to"allow".
- model_fields: ClassVar[dict[str, FieldInfo]] = {'code': FieldInfo(annotation=str, required=True), 'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'error': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'feedback': FieldInfo(annotation=Union[MlFeedback, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'model': FieldInfo(annotation=TextToCadModel, required=True), 'model_version': FieldInfo(annotation=str, required=True), 'original_source_code': FieldInfo(annotation=str, required=True), 'prompt': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'source_ranges': FieldInfo(annotation=List[SourceRangePrompt], required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'type': FieldInfo(annotation=Literal['text_to_cad_iteration'], required=False, default='text_to_cad_iteration'), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}[source]
- 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 ofGenerateJsonSchemawith your desired modificationsmode (
Literal['validation','serialization']) – The mode in which to generate the schema.
- Return type:
- 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 classModelwith 2 type variables and a concrete modelModel[str, int], the value(str, int)would be passed toparams.- Return type:
- Returns:
String representing the new class where
paramsare passed toclsas 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__andmodel_construct. This is useful if you want to do some validation that requires the entire model to be initialized.- Return type:
- 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 toFalse.raise_errors (
bool) – Whether to raise errors, defaults toTrue._parent_namespace_depth (
int) – The depth level of the parent namespace, defaults to 2._types_namespace (
Optional[Mapping[str,Any]]) – The types namespace, defaults toNone.
- Return type:
- Returns:
Returns
Noneif the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returnsTrueif rebuilding was successful, otherwiseFalse.
- classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)[source]
Validate a pydantic model instance.
- Parameters:
- 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/2.10/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValidationError – If
json_datais 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.
- classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Self
- classmethod schema_json(*, by_alias=True, ref_template='#/$defs/{model}', **dumps_kwargs)[source]
- Return type:
-
source_ranges:
List[SourceRangePrompt][source]
-
status:
ApiCallStatus[source]