kittycad.models.modeling_cmd.import_files
- class kittycad.models.modeling_cmd.import_files(**data)[source][source]
Bases:
BaseModelImport files to the current model.
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.
__init__ uses __pydantic_self__ instead of the more common self for the first arg to allow self as a field name.
- __init__(**data)[source]
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
__init__ uses __pydantic_self__ instead of the more common self for the first arg to allow self as a field name.
Methods
__init__(**data)Create a new model by parsing and validating input data from keyword arguments.
construct(cls[, _fields_set])- rtype:
Model
copy(*[, include, exclude, update, deep])Returns a copy of the model.
dict(*[, include, exclude, by_alias, ...])- rtype:
typing.Dict[str, Any]
from_orm(cls, obj)- rtype:
Model
json(*[, include, exclude, by_alias, ...])- rtype:
str
model_construct([_fields_set])Creates a new instance of the Model class with validated data.
model_copy(*[, update, deep])Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy
model_dump(*[, mode, include, exclude, ...])Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump
model_dump_json(*[, indent, include, ...])Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json
model_json_schema([by_alias, ref_template, ...])Generates a JSON schema for a model class.
model_parametrized_name(params)Compute the class name for parametrizations of generic classes.
model_post_init(_BaseModel__context)Override this method to perform additional initialization after __init__ and model_construct.
model_rebuild(*[, force, raise_errors, ...])Try to rebuild the pydantic-core schema for the model.
model_validate(obj, *[, strict, ...])Validate a pydantic model instance.
model_validate_json(json_data, *[, strict, ...])Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing
model_validate_strings(obj, *[, strict, context])Validate the given object contains string data against the Pydantic model.
parse_file(cls, path, *[, content_type, ...])- rtype:
Model
parse_obj(cls, obj)- rtype:
Model
parse_raw(cls, b, *[, content_type, ...])- rtype:
Model
schema(cls[, by_alias, ref_template])schema_json(cls, *[, by_alias, ref_template])- rtype:
update_forward_refs(cls, **localns)- rtype:
validate(cls, value)- rtype:
Model
Attributes
Get the computed fields of this model instance.
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
Get extra fields set during validation.
Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].
Returns the set of fields that have been explicitly set on this model instance.
- __annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator]', '__signature__': 'ClassVar[Signature]', 'files': typing.List[kittycad.models.import_file.ImportFile], 'format': <class 'pydantic.root_model.RootModel[Annotated[Union[kittycad.models.input_format.fbx, kittycad.models.input_format.gltf, kittycad.models.input_format.obj, kittycad.models.input_format.ply, kittycad.models.input_format.sldprt, kittycad.models.input_format.step, kittycad.models.input_format.stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[dict[str, FieldInfo]]', 'type': typing.Literal['import_files']}[source]
- __fields__ = {'files': FieldInfo(annotation=List[kittycad.models.import_file.ImportFile], required=True), 'format': FieldInfo(annotation=RootModel[Annotated[Union[kittycad.models.input_format.fbx, kittycad.models.input_format.gltf, kittycad.models.input_format.obj, kittycad.models.input_format.ply, kittycad.models.input_format.sldprt, kittycad.models.input_format.step, kittycad.models.input_format.stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], required=True), 'type': FieldInfo(annotation=Literal['import_files'], required=False, default='import_files')}[source]
- classmethod __get_pydantic_core_schema__(_BaseModel__source, _BaseModel__handler)[source]
Hook into generating the model’s CoreSchema.
- Parameters:
__source – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.
__handler – Call into Pydantic’s internal JSON schema generation. A callable that calls into Pydantic’s internal CoreSchema generation logic.
- Return type:
Union[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TuplePositionalSchema,TupleVariableSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]- Returns:
A pydantic-core CoreSchema.
- classmethod __get_pydantic_json_schema__(_BaseModel__core_schema, _BaseModel__handler)[source]
Hook into generating the model’s JSON schema.
- Parameters:
__core_schema – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({‘type’: ‘nullable’, ‘schema’: current_schema}), or just call the handler with the original schema.
__handler – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.
- Return type:
- 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.
__init__ uses __pydantic_self__ instead of the more common self for the first arg to allow self as a field name.
- __pretty__(fmt, **kwargs)[source]
Used by devtools (https://python-devtools.helpmanual.io/) to pretty print objects.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'type': 'model', 'cls': <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>, 'schema': {'type': 'model-fields', 'fields': {'axis': {'type': 'model-field', 'schema': {'type': 'definition-ref', 'schema_ref': 'kittycad.models.axis.Axis:93825014567168'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}, 'direction': {'type': 'model-field', 'schema': {'type': 'definition-ref', 'schema_ref': 'kittycad.models.direction.Direction:93825014568112'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}}, 'model_name': 'AxisDirectionPair', 'computed_fields': []}, 'custom_init': False, 'root_model': False, 'config': {'title': 'AxisDirectionPair'}, 'ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93825014569648', 'metadata': {'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>>], 'pydantic_js_annotation_functions': [], 'pydantic.internal.needs_apply_discriminated_union': False}}, {'type': 'lax-or-strict', 'lax_schema': {'type': 'chain', 'steps': [{'type': 'str'}, {'type': 'function-plain', 'function': {'type': 'no-info', 'function': <function get_enum_core_schema.<locals>.to_enum>}}]}, 'strict_schema': {'type': 'json-or-python', 'json_schema': {'function': {'type': 'no-info', 'function': <function get_enum_core_schema.<locals>.to_enum>}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'python_schema': {'type': 'is-instance', 'cls': <enum 'Axis'>}}, 'ref': 'kittycad.models.axis.Axis:93825014567168', 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>], 'pydantic.internal.needs_apply_discriminated_union': False}}, {'type': 'lax-or-strict', 'lax_schema': {'type': 'chain', 'steps': [{'type': 'str'}, {'type': 'function-plain', 'function': {'type': 'no-info', 'function': <function get_enum_core_schema.<locals>.to_enum>}}]}, 'strict_schema': {'type': 'json-or-python', 'json_schema': {'function': {'type': 'no-info', 'function': <function get_enum_core_schema.<locals>.to_enum>}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'python_schema': {'type': 'is-instance', 'cls': <enum 'Direction'>}}, 'ref': 'kittycad.models.direction.Direction:93825014568112', 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>], 'pydantic.internal.needs_apply_discriminated_union': False}}, {'type': 'model', 'cls': <class 'kittycad.models.system.System'>, 'schema': {'type': 'model-fields', 'fields': {'forward': {'type': 'model-field', 'schema': {'type': 'definition-ref', 'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93825014569648'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}, 'up': {'type': 'model-field', 'schema': {'type': 'definition-ref', 'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93825014569648'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}}, 'model_name': 'System', 'computed_fields': []}, 'custom_init': False, 'root_model': False, 'config': {'title': 'System'}, 'ref': 'kittycad.models.system.System:93825014588992', 'metadata': {'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.system.System'>), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.system.System'>>], 'pydantic_js_annotation_functions': [], 'pydantic.internal.needs_apply_discriminated_union': False}}, {'type': 'lax-or-strict', 'lax_schema': {'type': 'chain', 'steps': [{'type': 'str'}, {'type': 'function-plain', 'function': {'type': 'no-info', 'function': <function get_enum_core_schema.<locals>.to_enum>}}]}, 'strict_schema': {'type': 'json-or-python', 'json_schema': {'function': {'type': 'no-info', 'function': <function get_enum_core_schema.<locals>.to_enum>}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'python_schema': {'type': 'is-instance', 'cls': <enum 'UnitLength'>}}, 'ref': 'kittycad.models.unit_length.UnitLength:93825014613552', 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>], 'pydantic.internal.needs_apply_discriminated_union': False}}], 'schema': {'cls': <class 'kittycad.models.modeling_cmd.import_files'>, 'config': {'title': 'import_files'}, 'custom_init': False, 'metadata': {'pydantic.internal.needs_apply_discriminated_union': False, 'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.modeling_cmd.import_files'>), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.modeling_cmd.import_files'>>]}, 'ref': 'kittycad.models.modeling_cmd.import_files:93825019993504', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'files': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'cls': <class 'kittycad.models.import_file.ImportFile'>, 'config': {'title': 'ImportFile'}, 'custom_init': False, 'metadata': {'pydantic.internal.needs_apply_discriminated_union': False, 'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.import_file.ImportFile'>), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.import_file.ImportFile'>>]}, 'ref': 'kittycad.models.import_file.ImportFile:93825018071696', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'data': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic.internal.needs_apply_discriminated_union': False}, 'type': 'bytes'}, 'type': 'model-field'}, 'path': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic.internal.needs_apply_discriminated_union': False}, 'type': 'str'}, 'type': 'model-field'}}, 'model_name': 'ImportFile', 'type': 'model-fields'}, 'type': 'model'}, 'strict': False, 'type': 'list'}, 'type': 'model-field'}, 'format': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'pydantic.root_model.RootModel[Annotated[Union[kittycad.models.input_format.fbx, kittycad.models.input_format.gltf, kittycad.models.input_format.obj, kittycad.models.input_format.ply, kittycad.models.input_format.sldprt, kittycad.models.input_format.step, kittycad.models.input_format.stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[kittycad.models.input_format.fbx, kittycad.models.input_format.gltf, kittycad.models.input_format.obj, kittycad.models.input_format.ply, kittycad.models.input_format.sldprt, kittycad.models.input_format.step, kittycad.models.input_format.stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]"}, 'custom_init': False, 'metadata': {'pydantic.internal.needs_apply_discriminated_union': False, 'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'pydantic.root_model.RootModel[Annotated[Union[kittycad.models.input_format.fbx, kittycad.models.input_format.gltf, kittycad.models.input_format.obj, kittycad.models.input_format.ply, kittycad.models.input_format.sldprt, kittycad.models.input_format.step, kittycad.models.input_format.stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'pydantic.root_model.RootModel[Annotated[Union[kittycad.models.input_format.fbx, kittycad.models.input_format.gltf, kittycad.models.input_format.obj, kittycad.models.input_format.ply, kittycad.models.input_format.sldprt, kittycad.models.input_format.step, kittycad.models.input_format.stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:93825014829600[Annotated[Union[kittycad.models.input_format.fbx, kittycad.models.input_format.gltf, kittycad.models.input_format.obj, kittycad.models.input_format.ply, kittycad.models.input_format.sldprt, kittycad.models.input_format.step, kittycad.models.input_format.stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:140736972009584]", 'root_model': True, 'schema': {'choices': [{'type': 'model', 'cls': <class 'kittycad.models.input_format.fbx'>, 'schema': {'type': 'model-fields', 'fields': {'type': {'type': 'model-field', 'schema': {'type': 'default', 'schema': {'type': 'literal', 'expected': ['fbx'], 'metadata': {'pydantic.internal.needs_apply_discriminated_union': False}}, 'default': 'fbx'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}}, 'model_name': 'fbx', 'computed_fields': []}, 'custom_init': False, 'root_model': False, 'config': {'title': 'fbx'}, 'ref': 'kittycad.models.input_format.fbx:93825014614496', 'metadata': {'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.input_format.fbx'>), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.fbx'>>], 'pydantic_js_annotation_functions': [], 'pydantic.internal.needs_apply_discriminated_union': False}}, {'type': 'model', 'cls': <class 'kittycad.models.input_format.gltf'>, 'schema': {'type': 'model-fields', 'fields': {'type': {'type': 'model-field', 'schema': {'type': 'default', 'schema': {'type': 'literal', 'expected': ['gltf'], 'metadata': {'pydantic.internal.needs_apply_discriminated_union': False}}, 'default': 'gltf'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}}, 'model_name': 'gltf', 'computed_fields': []}, 'custom_init': False, 'root_model': False, 'config': {'title': 'gltf'}, 'ref': 'kittycad.models.input_format.gltf:93825014623968', 'metadata': {'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.input_format.gltf'>), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.gltf'>>], 'pydantic_js_annotation_functions': [], 'pydantic.internal.needs_apply_discriminated_union': False}}, {'type': 'model', 'cls': <class 'kittycad.models.input_format.obj'>, 'schema': {'type': 'model-fields', 'fields': {'coords': {'type': 'model-field', 'schema': {'type': 'definition-ref', 'schema_ref': 'kittycad.models.system.System:93825014588992'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}, 'type': {'type': 'model-field', 'schema': {'type': 'default', 'schema': {'type': 'literal', 'expected': ['obj'], 'metadata': {'pydantic.internal.needs_apply_discriminated_union': False}}, 'default': 'obj'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}, 'units': {'type': 'model-field', 'schema': {'type': 'definition-ref', 'schema_ref': 'kittycad.models.unit_length.UnitLength:93825014613552'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}}, 'model_name': 'obj', 'computed_fields': []}, 'custom_init': False, 'root_model': False, 'config': {'title': 'obj'}, 'ref': 'kittycad.models.input_format.obj:93825014631616', 'metadata': {'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.input_format.obj'>), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.obj'>>], 'pydantic_js_annotation_functions': [], 'pydantic.internal.needs_apply_discriminated_union': False}}, {'type': 'model', 'cls': <class 'kittycad.models.input_format.ply'>, 'schema': {'type': 'model-fields', 'fields': {'coords': {'type': 'model-field', 'schema': {'type': 'definition-ref', 'schema_ref': 'kittycad.models.system.System:93825014588992'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}, 'type': {'type': 'model-field', 'schema': {'type': 'default', 'schema': {'type': 'literal', 'expected': ['ply'], 'metadata': {'pydantic.internal.needs_apply_discriminated_union': False}}, 'default': 'ply'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}, 'units': {'type': 'model-field', 'schema': {'type': 'definition-ref', 'schema_ref': 'kittycad.models.unit_length.UnitLength:93825014613552'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}}, 'model_name': 'ply', 'computed_fields': []}, 'custom_init': False, 'root_model': False, 'config': {'title': 'ply'}, 'ref': 'kittycad.models.input_format.ply:93825014670816', 'metadata': {'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.input_format.ply'>), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.ply'>>], 'pydantic_js_annotation_functions': [], 'pydantic.internal.needs_apply_discriminated_union': False}}, {'type': 'model', 'cls': <class 'kittycad.models.input_format.sldprt'>, 'schema': {'type': 'model-fields', 'fields': {'type': {'type': 'model-field', 'schema': {'type': 'default', 'schema': {'type': 'literal', 'expected': ['sldprt'], 'metadata': {'pydantic.internal.needs_apply_discriminated_union': False}}, 'default': 'sldprt'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}}, 'model_name': 'sldprt', 'computed_fields': []}, 'custom_init': False, 'root_model': False, 'config': {'title': 'sldprt'}, 'ref': 'kittycad.models.input_format.sldprt:93825014708240', 'metadata': {'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.input_format.sldprt'>), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.sldprt'>>], 'pydantic_js_annotation_functions': [], 'pydantic.internal.needs_apply_discriminated_union': False}}, {'type': 'model', 'cls': <class 'kittycad.models.input_format.step'>, 'schema': {'type': 'model-fields', 'fields': {'type': {'type': 'model-field', 'schema': {'type': 'default', 'schema': {'type': 'literal', 'expected': ['step'], 'metadata': {'pydantic.internal.needs_apply_discriminated_union': False}}, 'default': 'step'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}}, 'model_name': 'step', 'computed_fields': []}, 'custom_init': False, 'root_model': False, 'config': {'title': 'step'}, 'ref': 'kittycad.models.input_format.step:93825014715072', 'metadata': {'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.input_format.step'>), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.step'>>], 'pydantic_js_annotation_functions': [], 'pydantic.internal.needs_apply_discriminated_union': False}}, {'type': 'model', 'cls': <class 'kittycad.models.input_format.stl'>, 'schema': {'type': 'model-fields', 'fields': {'coords': {'type': 'model-field', 'schema': {'type': 'definition-ref', 'schema_ref': 'kittycad.models.system.System:93825014588992'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}, 'type': {'type': 'model-field', 'schema': {'type': 'default', 'schema': {'type': 'literal', 'expected': ['stl'], 'metadata': {'pydantic.internal.needs_apply_discriminated_union': False}}, 'default': 'stl'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}, 'units': {'type': 'model-field', 'schema': {'type': 'definition-ref', 'schema_ref': 'kittycad.models.unit_length.UnitLength:93825014613552'}, 'metadata': {'pydantic_js_functions': [], 'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>]}}}, 'model_name': 'stl', 'computed_fields': []}, 'custom_init': False, 'root_model': False, 'config': {'title': 'stl'}, 'ref': 'kittycad.models.input_format.stl:93825014722912', 'metadata': {'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.input_format.stl'>), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.stl'>>], 'pydantic_js_annotation_functions': [], 'pydantic.internal.needs_apply_discriminated_union': False}}], 'metadata': {'pydantic.internal.needs_apply_discriminated_union': True, 'pydantic.internal.union_discriminator': 'type'}, 'type': 'union'}, 'type': 'model'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'import_files', 'schema': {'expected': ['import_files'], 'metadata': {'pydantic.internal.needs_apply_discriminated_union': False}, 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'import_files', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}[source]
- __pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})[source]
- __pydantic_generic_metadata__: ClassVar[_generics.PydanticGenericMetadata] = {'args': (), 'origin': None, 'parameters': ()}[source]
- classmethod __pydantic_init_subclass__(**kwargs)[source]
This is intended to behave just like __init_subclass__, but is called by ModelMetaclass only after the class is actually fully initialized. In particular, attributes like model_fields will be present when this is called.
This is necessary because __init_subclass__ will always be called by type.__new__, and it would require a prohibitively large refactor to the ModelMetaclass to ensure that type.__new__ was called in such a manner that the class would already be sufficiently initialized.
This will receive the same kwargs that would be passed to the standard __init_subclass__, namely, any kwargs passed to the class definition that aren’t used internally by pydantic.
- __pydantic_parent_namespace__: ClassVar[dict[str, Any] | None] = {'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'AnnotationOptions': <pydantic._internal._model_construction._PydanticWeakRef object>, 'AnnotationType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'CameraDragInteractionType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Color': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImageFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ImportFile': <pydantic._internal._model_construction._PydanticWeakRef object>, 'InputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'List': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ModelingCmdId': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Optional': <pydantic._internal._model_construction._PydanticWeakRef object>, 'OutputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathComponentConstraintBound': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathComponentConstraintType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'PathSegment': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Point2d': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Point3d': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SceneSelectionType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'SceneToolType': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Union': <pydantic._internal._model_construction._PydanticWeakRef object>, 'UnitArea': <pydantic._internal._model_construction._PydanticWeakRef object>, 'UnitDensity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'UnitLength': <pydantic._internal._model_construction._PydanticWeakRef object>, 'UnitMass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'UnitVolume': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, exceptions, and other objects.\n\nNoteworthy: None is the `nil' object; Ellipsis represents `...' in slices.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'all': <built-in function all>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved. Copyright (c) 2000 BeOpen.com. All Rights Reserved. Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved. Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits': Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands for supporting Python development. See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/user/src/kittycad/models/__pycache__/modeling_cmd.cpython-39.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/user/src/kittycad/models/modeling_cmd.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.modeling_cmd', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'camera_drag_start': <pydantic._internal._model_construction._PydanticWeakRef object>, 'close_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_control_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_end_points': <pydantic._internal._model_construction._PydanticWeakRef object>, 'curve_get_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_disable_sketch_mode': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_enable_sketch_mode': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_focus_on': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_look_at': <pydantic._internal._model_construction._PydanticWeakRef object>, 'default_camera_zoom': <pydantic._internal._model_construction._PydanticWeakRef object>, 'edit_mode_enter': <pydantic._internal._model_construction._PydanticWeakRef object>, 'edit_mode_exit': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_fade': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_all_child_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_child_uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_num_children': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_get_parent_id': <pydantic._internal._model_construction._PydanticWeakRef object>, 'entity_set_opacity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'export': <pydantic._internal._model_construction._PydanticWeakRef object>, 'extend_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'extrude': <pydantic._internal._model_construction._PydanticWeakRef object>, 'get_entity_type': <pydantic._internal._model_construction._PydanticWeakRef object>, 'handle_mouse_drag_end': <pydantic._internal._model_construction._PydanticWeakRef object>, 'handle_mouse_drag_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'handle_mouse_drag_start': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entities': <pydantic._internal._model_construction._PydanticWeakRef object>, 'highlight_set_entity': <pydantic._internal._model_construction._PydanticWeakRef object>, 'make_axes_gizmo': <pydantic._internal._model_construction._PydanticWeakRef object>, 'make_plane': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_click': <pydantic._internal._model_construction._PydanticWeakRef object>, 'mouse_move': <pydantic._internal._model_construction._PydanticWeakRef object>, 'move_path_pen': <pydantic._internal._model_construction._PydanticWeakRef object>, 'new_annotation': <pydantic._internal._model_construction._PydanticWeakRef object>, 'object_bring_to_front': <pydantic._internal._model_construction._PydanticWeakRef object>, 'object_visible': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_curve_uuids_for_vertices': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_info': <pydantic._internal._model_construction._PydanticWeakRef object>, 'path_get_vertex_uuids': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_intersect_and_project': <pydantic._internal._model_construction._PydanticWeakRef object>, 'plane_set_color': <pydantic._internal._model_construction._PydanticWeakRef object>, 'reconfigure_stream': <pydantic._internal._model_construction._PydanticWeakRef object>, 'remove_scene_objects': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_add': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_clear': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_get': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_remove': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_replace': <pydantic._internal._model_construction._PydanticWeakRef object>, 'select_with_point': <pydantic._internal._model_construction._PydanticWeakRef object>, 'send_object': <pydantic._internal._model_construction._PydanticWeakRef object>, 'set_tool': <pydantic._internal._model_construction._PydanticWeakRef object>, 'sketch_mode_disable': <pydantic._internal._model_construction._PydanticWeakRef object>, 'sketch_mode_enable': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid2d_add_hole': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_edge_faces': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_all_opposite_edges': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_next_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_opposite_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'solid3d_get_prev_adjacent_edge': <pydantic._internal._model_construction._PydanticWeakRef object>, 'start_path': <pydantic._internal._model_construction._PydanticWeakRef object>, 'take_snapshot': <pydantic._internal._model_construction._PydanticWeakRef object>, 'update_annotation': <pydantic._internal._model_construction._PydanticWeakRef object>}[source]
- __pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model( ModelSerializer { class: Py( 0x0000555556fcdda0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "files": SerField { key_py: Py( 0x00007fffff8c9930, ), alias: None, alias_py: None, serializer: Some( List( ListSerializer { item_serializer: Model( ModelSerializer { class: Py( 0x0000555556df8a90, ), serializer: Fields( GeneralFieldsSerializer { fields: { "data": SerField { key_py: Py( 0x00007fffff90df30, ), alias: None, alias_py: None, serializer: Some( Bytes( BytesSerializer, ), ), required: true, }, "path": SerField { key_py: Py( 0x00007fffff952230, ), 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: "ImportFile", }, ), filter: SchemaFilter { include: None, exclude: None, }, name: "list[ImportFile]", }, ), ), required: true, }, "format": SerField { key_py: Py( 0x00007fffff932bf0, ), alias: None, alias_py: None, serializer: Some( Model( ModelSerializer { class: Py( 0x0000555556ac7ba0, ), serializer: Union( UnionSerializer { choices: [ Model( ModelSerializer { class: Py( 0x0000555556aac9e0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fffff8ebef0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fffe14d8f70, ), ), 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: "fbx", }, ), Model( ModelSerializer { class: Py( 0x0000555556aaeee0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fffff8ebef0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fffe137ba30, ), ), 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: "gltf", }, ), Model( ModelSerializer { class: Py( 0x0000555556ab0cc0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fffff8ebef0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fffff93a970, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "obj", }, expected_py: None, name: "literal['obj']", }, ), }, ), ), required: true, }, "units": SerField { key_py: Py( 0x00007fffff2402b0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "kittycad.models.unit_length.UnitLength:93825014613552", }, ), ), required: true, }, "coords": SerField { key_py: Py( 0x00007ffffcb0d8f0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "kittycad.models.system.System:93825014588992", }, ), ), 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: "obj", }, ), Model( ModelSerializer { class: Py( 0x0000555556aba5e0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "units": SerField { key_py: Py( 0x00007fffff2402b0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "kittycad.models.unit_length.UnitLength:93825014613552", }, ), ), required: true, }, "coords": SerField { key_py: Py( 0x00007ffffcb0d8f0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "kittycad.models.system.System:93825014588992", }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fffff8ebef0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fffe137bab0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "ply", }, expected_py: None, name: "literal['ply']", }, ), }, ), ), 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: "ply", }, ), Model( ModelSerializer { class: Py( 0x0000555556ac3810, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fffff8ebef0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fffe1ef6430, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "sldprt", }, expected_py: None, name: "literal['sldprt']", }, ), }, ), ), 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: "sldprt", }, ), Model( ModelSerializer { class: Py( 0x0000555556ac52c0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fffff8ebef0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fffff929d30, ), ), 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: 1, }, ), has_extra: false, root_model: false, name: "step", }, ), Model( ModelSerializer { class: Py( 0x0000555556ac7160, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007fffff8ebef0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fffe137bb30, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "stl", }, expected_py: None, name: "literal['stl']", }, ), }, ), ), required: true, }, "coords": SerField { key_py: Py( 0x00007ffffcb0d8f0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "kittycad.models.system.System:93825014588992", }, ), ), required: true, }, "units": SerField { key_py: Py( 0x00007fffff2402b0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "kittycad.models.unit_length.UnitLength:93825014613552", }, ), ), 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: "stl", }, ), ], name: "Union[fbx, gltf, obj, ply, sldprt, step, stl]", }, ), has_extra: false, root_model: true, name: "RootModel[Annotated[Union[kittycad.models.input_format.fbx, kittycad.models.input_format.gltf, kittycad.models.input_format.obj, kittycad.models.input_format.ply, kittycad.models.input_format.sldprt, kittycad.models.input_format.step, kittycad.models.input_format.stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007fffff8ebef0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007fffe1c7b3b0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "import_files", }, expected_py: None, name: "literal['import_files']", }, ), }, ), ), 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: "import_files", }, ), definitions=[JsonOrPython(JsonOrPythonSerializer { json: Str(StrSerializer), python: Any(AnySerializer), name: "json-or-python[json=str, python=any]" }), Model(ModelSerializer { class: Py(0x555556aa1ab0), serializer: Fields(GeneralFieldsSerializer { fields: {"axis": SerField { key_py: Py(0x7ffffcb74b30), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "kittycad.models.axis.Axis:93825014567168" })), required: true }, "direction": SerField { key_py: Py(0x7fffff77c7f0), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "kittycad.models.direction.Direction:93825014568112" })), 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" }), JsonOrPython(JsonOrPythonSerializer { json: Str(StrSerializer), python: Any(AnySerializer), name: "json-or-python[json=str, python=any]" }), Model(ModelSerializer { class: Py(0x555556aa6640), serializer: Fields(GeneralFieldsSerializer { fields: {"up": SerField { key_py: Py(0x7ffffdc55170), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "kittycad.models.axis_direction_pair.AxisDirectionPair:93825014569648" })), required: true }, "forward": SerField { key_py: Py(0x7ffffddd9770), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "kittycad.models.axis_direction_pair.AxisDirectionPair:93825014569648" })), 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" }), JsonOrPython(JsonOrPythonSerializer { json: Str(StrSerializer), python: Any(AnySerializer), name: "json-or-python[json=str, python=any]" })])[source]
- __pydantic_validator__: ClassVar[SchemaValidator] = SchemaValidator(title="import_files", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "files", lookup_key: Simple { key: "files", py_key: Py( 0x00007fffff8c9930, ), path: LookupPath( [ S( "files", Py( 0x00007fffff8c9930, ), ), ], ), }, name_py: Py( 0x00007fffff8c9930, ), validator: List( ListValidator { strict: false, item_validator: Some( Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "data", lookup_key: Simple { key: "data", py_key: Py( 0x00007fffff90df30, ), path: LookupPath( [ S( "data", Py( 0x00007fffff90df30, ), ), ], ), }, name_py: Py( 0x00007fffff90df30, ), validator: Bytes( BytesValidator { strict: false, }, ), frozen: false, }, Field { name: "path", lookup_key: Simple { key: "path", py_key: Py( 0x00007fffff952230, ), path: LookupPath( [ S( "path", Py( 0x00007fffff952230, ), ), ], ), }, name_py: Py( 0x00007fffff952230, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, ], model_name: "ImportFile", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000555556df8a90, ), post_init: None, frozen: false, custom_init: false, root_model: false, name: "ImportFile", }, ), ), min_length: None, max_length: None, name: OnceLock( <uninit>, ), }, ), frozen: false, }, Field { name: "format", lookup_key: Simple { key: "format", py_key: Py( 0x00007fffff932bf0, ), path: LookupPath( [ S( "format", Py( 0x00007fffff932bf0, ), ), ], ), }, name_py: Py( 0x00007fffff932bf0, ), validator: Model( ModelValidator { revalidate: Never, validator: Union( UnionValidator { mode: Smart, choices: [ ( Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fffff8ebef0, ), path: LookupPath( [ S( "type", Py( 0x00007fffff8ebef0, ), ), ], ), }, name_py: Py( 0x00007fffff8ebef0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fffe14d8f70, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "fbx": 0, }, ), expected_py: None, values: [ Py( 0x00007fffe14d8f70, ), ], }, expected_repr: "'fbx'", name: "literal['fbx']", }, ), validate_default: false, copy_default: false, name: "default[literal['fbx']]", }, ), frozen: false, }, ], model_name: "fbx", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000555556aac9e0, ), post_init: None, frozen: false, custom_init: false, root_model: false, name: "fbx", }, ), None, ), ( Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fffff8ebef0, ), path: LookupPath( [ S( "type", Py( 0x00007fffff8ebef0, ), ), ], ), }, name_py: Py( 0x00007fffff8ebef0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fffe137ba30, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "gltf": 0, }, ), expected_py: None, values: [ Py( 0x00007fffe137ba30, ), ], }, expected_repr: "'gltf'", name: "literal['gltf']", }, ), validate_default: false, copy_default: false, name: "default[literal['gltf']]", }, ), frozen: false, }, ], model_name: "gltf", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000555556aaeee0, ), post_init: None, frozen: false, custom_init: false, root_model: false, name: "gltf", }, ), None, ), ( Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007ffffcb0d8f0, ), path: LookupPath( [ S( "coords", Py( 0x00007ffffcb0d8f0, ), ), ], ), }, name_py: Py( 0x00007ffffcb0d8f0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "kittycad.models.system.System:93825014588992", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fffff8ebef0, ), path: LookupPath( [ S( "type", Py( 0x00007fffff8ebef0, ), ), ], ), }, name_py: Py( 0x00007fffff8ebef0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fffff93a970, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "obj": 0, }, ), expected_py: None, values: [ Py( 0x00007fffff93a970, ), ], }, expected_repr: "'obj'", name: "literal['obj']", }, ), validate_default: false, copy_default: false, name: "default[literal['obj']]", }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007fffff2402b0, ), path: LookupPath( [ S( "units", Py( 0x00007fffff2402b0, ), ), ], ), }, name_py: Py( 0x00007fffff2402b0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "kittycad.models.unit_length.UnitLength:93825014613552", }, ), frozen: false, }, ], model_name: "obj", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000555556ab0cc0, ), post_init: None, frozen: false, custom_init: false, root_model: false, name: "obj", }, ), None, ), ( Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007ffffcb0d8f0, ), path: LookupPath( [ S( "coords", Py( 0x00007ffffcb0d8f0, ), ), ], ), }, name_py: Py( 0x00007ffffcb0d8f0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "kittycad.models.system.System:93825014588992", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fffff8ebef0, ), path: LookupPath( [ S( "type", Py( 0x00007fffff8ebef0, ), ), ], ), }, name_py: Py( 0x00007fffff8ebef0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fffe137bab0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "ply": 0, }, ), expected_py: None, values: [ Py( 0x00007fffe137bab0, ), ], }, expected_repr: "'ply'", name: "literal['ply']", }, ), validate_default: false, copy_default: false, name: "default[literal['ply']]", }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007fffff2402b0, ), path: LookupPath( [ S( "units", Py( 0x00007fffff2402b0, ), ), ], ), }, name_py: Py( 0x00007fffff2402b0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "kittycad.models.unit_length.UnitLength:93825014613552", }, ), frozen: false, }, ], model_name: "ply", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000555556aba5e0, ), post_init: None, frozen: false, custom_init: false, root_model: false, name: "ply", }, ), None, ), ( Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fffff8ebef0, ), path: LookupPath( [ S( "type", Py( 0x00007fffff8ebef0, ), ), ], ), }, name_py: Py( 0x00007fffff8ebef0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fffe1ef6430, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "sldprt": 0, }, ), expected_py: None, values: [ Py( 0x00007fffe1ef6430, ), ], }, expected_repr: "'sldprt'", name: "literal['sldprt']", }, ), validate_default: false, copy_default: false, name: "default[literal['sldprt']]", }, ), frozen: false, }, ], model_name: "sldprt", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000555556ac3810, ), post_init: None, frozen: false, custom_init: false, root_model: false, name: "sldprt", }, ), None, ), ( Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fffff8ebef0, ), path: LookupPath( [ S( "type", Py( 0x00007fffff8ebef0, ), ), ], ), }, name_py: Py( 0x00007fffff8ebef0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fffff929d30, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "step": 0, }, ), expected_py: None, values: [ Py( 0x00007fffff929d30, ), ], }, expected_repr: "'step'", name: "literal['step']", }, ), validate_default: false, copy_default: false, name: "default[literal['step']]", }, ), frozen: false, }, ], model_name: "step", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000555556ac52c0, ), post_init: None, frozen: false, custom_init: false, root_model: false, name: "step", }, ), None, ), ( Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007ffffcb0d8f0, ), path: LookupPath( [ S( "coords", Py( 0x00007ffffcb0d8f0, ), ), ], ), }, name_py: Py( 0x00007ffffcb0d8f0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "kittycad.models.system.System:93825014588992", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fffff8ebef0, ), path: LookupPath( [ S( "type", Py( 0x00007fffff8ebef0, ), ), ], ), }, name_py: Py( 0x00007fffff8ebef0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fffe137bb30, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "stl": 0, }, ), expected_py: None, values: [ Py( 0x00007fffe137bb30, ), ], }, expected_repr: "'stl'", name: "literal['stl']", }, ), validate_default: false, copy_default: false, name: "default[literal['stl']]", }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007fffff2402b0, ), path: LookupPath( [ S( "units", Py( 0x00007fffff2402b0, ), ), ], ), }, name_py: Py( 0x00007fffff2402b0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "kittycad.models.unit_length.UnitLength:93825014613552", }, ), frozen: false, }, ], model_name: "stl", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000555556ac7160, ), post_init: None, frozen: false, custom_init: false, root_model: false, name: "stl", }, ), None, ), ], custom_error: None, strict: false, name: "union[fbx,gltf,obj,ply,sldprt,step,stl]", }, ), class: Py( 0x0000555556ac7ba0, ), post_init: None, frozen: false, custom_init: false, root_model: true, name: "RootModel[Annotated[Union[kittycad.models.input_format.fbx, kittycad.models.input_format.gltf, kittycad.models.input_format.obj, kittycad.models.input_format.ply, kittycad.models.input_format.sldprt, kittycad.models.input_format.step, kittycad.models.input_format.stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007fffff8ebef0, ), path: LookupPath( [ S( "type", Py( 0x00007fffff8ebef0, ), ), ], ), }, name_py: Py( 0x00007fffff8ebef0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007fffe1c7b3b0, ), ), on_error: Raise, validator: Literal( LiteralValidator { lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "import_files": 0, }, ), expected_py: None, values: [ Py( 0x00007fffe1c7b3b0, ), ], }, expected_repr: "'import_files'", name: "literal['import_files']", }, ), validate_default: false, copy_default: false, name: "default[literal['import_files']]", }, ), frozen: false, }, ], model_name: "import_files", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000555556fcdda0, ), post_init: None, frozen: false, custom_init: false, root_model: false, name: "import_files", }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "forward", lookup_key: Simple { key: "forward", py_key: Py(0x7ffffddd9770), path: LookupPath([S("forward", Py(0x7ffffddd9770))]) }, name_py: Py(0x7ffffddd9770), validator: DefinitionRef(DefinitionRefValidator { definition: "kittycad.models.axis_direction_pair.AxisDirectionPair:93825014569648" }), frozen: false }, Field { name: "up", lookup_key: Simple { key: "up", py_key: Py(0x7ffffdc55170), path: LookupPath([S("up", Py(0x7ffffdc55170))]) }, name_py: Py(0x7ffffdc55170), validator: DefinitionRef(DefinitionRefValidator { definition: "kittycad.models.axis_direction_pair.AxisDirectionPair:93825014569648" }), frozen: false }], model_name: "System", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x555556aa6640), post_init: None, frozen: false, custom_init: false, root_model: false, name: "System" }), LaxOrStrict(LaxOrStrictValidator { strict: false, lax_validator: Chain(ChainValidator { steps: [Str(StrValidator { strict: false, coerce_numbers_to_str: false }), FunctionPlain(FunctionPlainValidator { func: Py(0x7fffe139e4c0), config: Py(0x7fffe0eadbc0), name: "function-plain[to_enum()]", field_name: None, info_arg: false })], name: "chain[str,function-plain[to_enum()]]" }), strict_validator: JsonOrPython(JsonOrPython { json: FunctionAfter(FunctionAfterValidator { validator: Str(StrValidator { strict: false, coerce_numbers_to_str: false }), func: Py(0x7fffe139e4c0), config: Py(0x7fffe0eadbc0), name: "function-after[to_enum(), str]", field_name: None, info_arg: false }), python: IsInstance(IsInstanceValidator { class: Py(0x555556aac630), class_repr: "UnitLength", name: "is-instance[UnitLength]" }), name: "json-or-python[json=function-after[to_enum(), str],python=is-instance[UnitLength]]" }), name: "lax-or-strict[lax=chain[str,function-plain[to_enum()]],strict=json-or-python[json=function-after[to_enum(), str],python=is-instance[UnitLength]]]" }), LaxOrStrict(LaxOrStrictValidator { strict: false, lax_validator: Chain(ChainValidator { steps: [Str(StrValidator { strict: false, coerce_numbers_to_str: false }), FunctionPlain(FunctionPlainValidator { func: Py(0x7fffe14d0ca0), config: Py(0x7fffe0eadbc0), name: "function-plain[to_enum()]", field_name: None, info_arg: false })], name: "chain[str,function-plain[to_enum()]]" }), strict_validator: JsonOrPython(JsonOrPython { json: FunctionAfter(FunctionAfterValidator { validator: Str(StrValidator { strict: false, coerce_numbers_to_str: false }), func: Py(0x7fffe14d0ca0), config: Py(0x7fffe0eadbc0), name: "function-after[to_enum(), str]", field_name: None, info_arg: false }), python: IsInstance(IsInstanceValidator { class: Py(0x555556aa1100), class_repr: "Axis", name: "is-instance[Axis]" }), name: "json-or-python[json=function-after[to_enum(), str],python=is-instance[Axis]]" }), name: "lax-or-strict[lax=chain[str,function-plain[to_enum()]],strict=json-or-python[json=function-after[to_enum(), str],python=is-instance[Axis]]]" }), LaxOrStrict(LaxOrStrictValidator { strict: false, lax_validator: Chain(ChainValidator { steps: [Str(StrValidator { strict: false, coerce_numbers_to_str: false }), FunctionPlain(FunctionPlainValidator { func: Py(0x7fffe14d0160), config: Py(0x7fffe0eadbc0), name: "function-plain[to_enum()]", field_name: None, info_arg: false })], name: "chain[str,function-plain[to_enum()]]" }), strict_validator: JsonOrPython(JsonOrPython { json: FunctionAfter(FunctionAfterValidator { validator: Str(StrValidator { strict: false, coerce_numbers_to_str: false }), func: Py(0x7fffe14d0160), config: Py(0x7fffe0eadbc0), name: "function-after[to_enum(), str]", field_name: None, info_arg: false }), python: IsInstance(IsInstanceValidator { class: Py(0x555556aa14b0), class_repr: "Direction", name: "is-instance[Direction]" }), name: "json-or-python[json=function-after[to_enum(), str],python=is-instance[Direction]]" }), name: "lax-or-strict[lax=chain[str,function-plain[to_enum()]],strict=json-or-python[json=function-after[to_enum(), str],python=is-instance[Direction]]]" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "axis", lookup_key: Simple { key: "axis", py_key: Py(0x7ffffcb74b30), path: LookupPath([S("axis", Py(0x7ffffcb74b30))]) }, name_py: Py(0x7ffffcb74b30), validator: DefinitionRef(DefinitionRefValidator { definition: "kittycad.models.axis.Axis:93825014567168" }), frozen: false }, Field { name: "direction", lookup_key: Simple { key: "direction", py_key: Py(0x7fffff77c7f0), path: LookupPath([S("direction", Py(0x7fffff77c7f0))]) }, name_py: Py(0x7fffff77c7f0), validator: DefinitionRef(DefinitionRefValidator { definition: "kittycad.models.direction.Direction:93825014568112" }), frozen: false }], model_name: "AxisDirectionPair", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x555556aa1ab0), post_init: None, frozen: false, custom_init: false, root_model: false, name: "AxisDirectionPair" })])[source]
- __rich_repr__()[source]
Used by Rich (https://rich.readthedocs.io/en/stable/pretty.html) to pretty print objects.
- __signature__: ClassVar[Signature] = <Signature (*, files: List[kittycad.models.import_file.ImportFile], format: pydantic.root_model.RootModel[Annotated[Union[kittycad.models.input_format.fbx, kittycad.models.input_format.gltf, kittycad.models.input_format.obj, kittycad.models.input_format.ply, kittycad.models.input_format.sldprt, kittycad.models.input_format.step, kittycad.models.input_format.stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], type: Literal['import_files'] = 'import_files') -> None>[source]
- __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_copy instead.
If you need include or exclude, use:
`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `- Parameters:
include (AbstractSetIntStr | MappingIntStrAny | None) – Optional set or mapping specifying which fields to include in the copied model.
exclude (AbstractSetIntStr | MappingIntStrAny | None) – Optional set or mapping specifying which fields to exclude in the copied model.
update (Dict[str, Any] | None) – Optional dictionary of field-value pairs to override field values in the copied model.
deep (bool) – If True, the values of fields that are Pydantic models will be deep copied.
- Return type:
Model
- 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]
-
files:
List[ImportFile][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:
- property model_computed_fields: dict[str, ComputedFieldInfo][source]
Get the computed fields of this model instance.
- Returns:
A dictionary of computed field names and their corresponding ComputedFieldInfo objects.
- model_config: ClassVar[ConfigDict] = {}[source]
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
- classmethod model_construct(_fields_set=None, **values)[source]
Creates a new instance of the Model class with validated data.
Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#model_copy
Returns a copy of the model.
- model_dump(*, mode='python', include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True)[source]
Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- Parameters:
mode – The mode in which to_python should run. If mode is ‘json’, the dictionary will only contain JSON serializable types. If mode is ‘python’, the dictionary may contain any Python objects.
include – A list of fields to include in the output.
exclude – A list of fields to exclude from the output.
by_alias – Whether to use the field’s alias in the dictionary key if defined.
exclude_unset – Whether to exclude fields that have not been explicitly set.
exclude_defaults – Whether to exclude fields that are set to their default value from the output.
exclude_none – Whether to exclude fields that have a value of None from the output.
round_trip – Whether to enable serialization and deserialization round-trip support.
warnings – Whether to log warnings when invalid fields are encountered.
- Returns:
A dictionary representation of the model.
- model_dump_json(*, indent=None, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True)[source]
Usage docs: https://docs.pydantic.dev/2.5/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s to_json method.
- Parameters:
indent – Indentation to use in the JSON output. If None is passed, the output will be compact.
include – Field(s) to include in the JSON output. Can take either a string or set of strings.
exclude – Field(s) to exclude from the JSON output. Can take either a string or set of strings.
by_alias – Whether to serialize using field aliases.
exclude_unset – Whether to exclude fields that have not been explicitly set.
exclude_defaults – Whether to exclude fields that have the default value.
exclude_none – Whether to exclude fields that have a value of None.
round_trip – Whether to use serialization/deserialization between JSON and class instance.
warnings – Whether to show any warnings that occurred during serialization.
- Returns:
A JSON string representation of the model.
- property model_extra[source]
Get extra fields set during validation.
- Returns:
A dictionary of extra fields, or None if config.extra is not set to “allow”.
- model_fields: ClassVar[dict[str, FieldInfo]] = {'files': FieldInfo(annotation=List[kittycad.models.import_file.ImportFile], required=True), 'format': FieldInfo(annotation=RootModel[Annotated[Union[kittycad.models.input_format.fbx, kittycad.models.input_format.gltf, kittycad.models.input_format.obj, kittycad.models.input_format.ply, kittycad.models.input_format.sldprt, kittycad.models.input_format.step, kittycad.models.input_format.stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]], required=True), 'type': FieldInfo(annotation=Literal['import_files'], required=False, default='import_files')}[source]
Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].
This replaces Model.__fields__ from Pydantic V1.
- property model_fields_set: set[str][source]
Returns the set of fields that have been explicitly set on this model instance.
- Returns:
- A set of strings representing the fields that have been set,
i.e. that were not filled from defaults.
- classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')[source]
Generates a JSON schema for a model class.
- Parameters:
by_alias (
bool) – Whether to use attribute aliases or not.ref_template (
str) – The reference template.schema_generator (
type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired 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 class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.- Return type:
- Returns:
String representing the new class where params are passed to cls as type variables.
- Raises:
TypeError – Raised when trying to generate concrete names for non-generic models.
- model_post_init(_BaseModel__context)[source]
Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.
- Return type:
- 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 – Whether to force the rebuilding of the model schema, defaults to False.
raise_errors – Whether to raise errors, defaults to True.
_parent_namespace_depth – The depth level of the parent namespace, defaults to 2.
_types_namespace – The types namespace, defaults to None.
- Returns:
Returns None if the schema is already “complete” and rebuilding was not required. If rebuilding _was_ required, returns True if rebuilding was successful, otherwise False.
- classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)[source]
Validate a pydantic model instance.
- Parameters:
- Raises:
ValidationError – If the object could not be validated.
- Return type:
Model
- Returns:
The validated model instance.
- classmethod model_validate_json(json_data, *, strict=None, context=None)[source]
Usage docs: https://docs.pydantic.dev/2.5/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Model
- Returns:
The validated Pydantic model.
- Raises:
ValueError – If json_data is not a JSON string.
- classmethod model_validate_strings(obj, *, strict=None, context=None)[source]
Validate the given object contains string data against the Pydantic model.
- classmethod parse_file(cls, path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Model
- classmethod parse_raw(cls, b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)[source]
- Return type:
Model