kittycad.models.async_api_call_output
Classes
|
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. |
- class kittycad.models.async_api_call_output.file_center_of_mass(**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_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', '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
- 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[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]- Returns:
A
pydantic-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]) – 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.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.async_api_call_output.file_center_of_mass'>, 'config': {'title': 'file_center_of_mass'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.async_api_call_output.file_center_of_mass'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.file_center_of_mass'>>]}, 'ref': 'kittycad.models.async_api_call_output.file_center_of_mass:93929002970784', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'center_of_mass': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'cls': <class 'kittycad.models.point3d.Point3d'>, 'config': {'title': 'Point3d'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.point3d.Point3d'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.point3d.Point3d'>>]}, 'ref': 'kittycad.models.point3d.Point3d:93928994992000', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'x': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'y': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}, 'z': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'float'}, 'type': 'model-field'}}, 'model_name': 'Point3d', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'completed_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'error': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'output_unit': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'UnitLength'>, 'members': [UnitLength.CM, UnitLength.FT, UnitLength.IN, UnitLength.M, UnitLength.MM, UnitLength.YD], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_length.UnitLength:93929004525904', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'src_format': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'FileImportFormat'>, 'members': [FileImportFormat.FBX, FileImportFormat.GLTF, FileImportFormat.OBJ, FileImportFormat.PLY, FileImportFormat.SLDPRT, FileImportFormat.STEP, FileImportFormat.STL], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_import_format.FileImportFormat:93928993693856', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'started_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:93929000223776', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'file_center_of_mass', 'schema': {'expected': ['file_center_of_mass'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'file_center_of_mass', 'type': 'model-fields'}, 'type': 'model'}[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 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] = {'AiFeedback': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ApiCallStatus': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Base64Data': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Dict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileExportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileImportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'InputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Optional': <pydantic._internal._model_construction._PydanticWeakRef object>, 'OutputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Point3d': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TextToCadModel': <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>, 'Uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved. Copyright (c) 2000 BeOpen.com. All Rights Reserved. Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved. Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits': Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands for supporting Python development. See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/async_api_call_output.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/async_api_call_output.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.async_api_call_output', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'datetime': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_conversion': <pydantic._internal._model_construction._PydanticWeakRef object>}[source]
- __pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model( ModelSerializer { class: Py( 0x0000556d8cdb2ea0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "error": SerField { key_py: Py( 0x00007f80f1994fc0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007f80de6cbcf0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007f80de6cbd30, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df4d89b0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "file_center_of_mass", }, expected_py: None, name: "literal['file_center_of_mass']", }, ), }, ), ), required: true, }, "center_of_mass": SerField { key_py: Py( 0x00007f80df29df30, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Model( ModelSerializer { class: Py( 0x0000556d8c616f80, ), serializer: Fields( GeneralFieldsSerializer { fields: { "y": SerField { key_py: Py( 0x00007f80f1a3e7f8, ), alias: None, alias_py: None, serializer: Some( Float( FloatSerializer { inf_nan_mode: Null, }, ), ), required: true, }, "x": SerField { key_py: Py( 0x00007f80f1a3d0b8, ), alias: None, alias_py: None, serializer: Some( Float( FloatSerializer { inf_nan_mode: Null, }, ), ), required: true, }, "z": SerField { key_py: Py( 0x00007f80f1a3e828, ), 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, }, "src_format": SerField { key_py: Py( 0x00007f80def40cf0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8c4da0a0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007f80f1a3c3a8, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb14420, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007f80f1a39688, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007f80df1d3630, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007f80de7ad8b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "output_unit": SerField { key_py: Py( 0x00007f80dedc5eb0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cf2e950, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007f80de7ae7b0, ), 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: 12, }, ), has_extra: false, root_model: false, name: "file_center_of_mass", }, ), definitions=[])[source]
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="file_center_of_mass", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "center_of_mass", lookup_key: Simple { key: "center_of_mass", py_key: Py( 0x00007f80df01e830, ), path: LookupPath( [ S( "center_of_mass", Py( 0x00007f80df153030, ), ), ], ), }, name_py: Py( 0x00007f80df29df30, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80f1a3e7c8, ), path: LookupPath( [ S( "x", Py( 0x00007f80f1a3e7c8, ), ), ], ), }, name_py: Py( 0x00007f80f1a3d0b8, ), validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), frozen: false, }, Field { name: "y", lookup_key: Simple { key: "y", py_key: Py( 0x00007f80f1a3e7f8, ), path: LookupPath( [ S( "y", Py( 0x00007f80f1a3e7f8, ), ), ], ), }, name_py: Py( 0x00007f80f1a3e7f8, ), validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), frozen: false, }, Field { name: "z", lookup_key: Simple { key: "z", py_key: Py( 0x00007f80f1a3e828, ), path: LookupPath( [ S( "z", Py( 0x00007f80f1a3e828, ), ), ], ), }, name_py: Py( 0x00007f80f1a3e828, ), 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( 0x0000556d8c616f80, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "Point3d", }, ), name: "nullable[Point3d]", }, ), validate_default: false, copy_default: false, name: "default[nullable[Point3d]]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007f80df1515b0, ), path: LookupPath( [ S( "completed_at", Py( 0x00007f80df153430, ), ), ], ), }, name_py: Py( 0x00007f80de7ad8b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007f80df151af0, ), path: LookupPath( [ S( "created_at", Py( 0x00007f80df151830, ), ), ], ), }, name_py: Py( 0x00007f80de7ae7b0, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007f80dedd51a0, ), path: LookupPath( [ S( "error", Py( 0x00007f80dedd52c0, ), ), ], ), }, name_py: Py( 0x00007f80f1994fc0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007f80dedd5350, ), path: LookupPath( [ S( "id", Py( 0x00007f80dedd5380, ), ), ], ), }, name_py: Py( 0x00007f80f1a39688, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80df153c80, ), 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( 0x00007f80df153370, ), path: LookupPath( [ S( "output_unit", Py( 0x00007f80df1534f0, ), ), ], ), }, name_py: Py( 0x00007f80dedc5eb0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cf2e950, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "ft": 1, "m": 3, "mm": 4, "yd": 5, "cm": 0, "in": 2, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee79af0, ), Py( 0x00007f80dee7a030, ), Py( 0x00007f80dee7a090, ), Py( 0x00007f80dee79fd0, ), Py( 0x00007f80dee7a1b0, ), Py( 0x00007f80dee7a270, ), ], }, 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( 0x00007f80df151870, ), path: LookupPath( [ S( "src_format", Py( 0x00007f80df1518b0, ), ), ], ), }, name_py: Py( 0x00007f80def40cf0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8c4da0a0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "fbx": 0, "obj": 2, "stl": 6, "gltf": 1, "sldprt": 4, "ply": 3, "step": 5, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee796d0, ), Py( 0x00007f80dee79730, ), Py( 0x00007f80dee79790, ), Py( 0x00007f80dee797f0, ), Py( 0x00007f80dee79850, ), Py( 0x00007f80dee798b0, ), Py( 0x00007f80dee79910, ), ], }, 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( 0x00007f80df1539f0, ), path: LookupPath( [ S( "started_at", Py( 0x00007f80df152df0, ), ), ], ), }, name_py: Py( 0x00007f80de6cbcf0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007f80dedd4ff0, ), path: LookupPath( [ S( "status", Py( 0x00007f80dedd5470, ), ), ], ), }, name_py: Py( 0x00007f80f1a3c3a8, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb14420, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "queued": 0, "uploaded": 1, "completed": 3, "in_progress": 2, "failed": 4, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dede6750, ), Py( 0x00007f80dede67b0, ), Py( 0x00007f80dede6870, ), Py( 0x00007f80dede68d0, ), Py( 0x00007f80dede6930, ), ], }, 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( 0x00007f80dedd5440, ), path: LookupPath( [ S( "type", Py( 0x00007f80dedd5410, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df4d89b0, ), ), 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, values: [ Py( 0x00007f80df4d89b0, ), ], }, 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007f80df1527f0, ), path: LookupPath( [ S( "updated_at", Py( 0x00007f80df152fb0, ), ), ], ), }, name_py: Py( 0x00007f80de6cbd30, ), 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( 0x00007f80dedd5170, ), path: LookupPath( [ S( "user_id", Py( 0x00007f80dedd54a0, ), ), ], ), }, name_py: Py( 0x00007f80df1d3630, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80df153c80, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "file_center_of_mass", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cdb2ea0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "file_center_of_mass", }, ), definitions=[], cache_strings=True)[source]
- __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]
- __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:`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `- Parameters:
include – Optional set or mapping specifying which fields to include in the copied model.
exclude – Optional set or mapping specifying which fields to exclude in the copied model.
update – Optional dictionary of field-value pairs to override field values in the copied model.
deep – If True, the values of fields that are Pydantic models will be deep-copied.
- Returns:
A copy of the model with included, excluded and updated fields as specified.
- 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_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding
ComputedFieldInfoobjects.
- 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.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy
Returns a copy of the model.
- model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- Parameters:
mode (
Union[Literal['json','python'],str]) – The mode in 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],Dict[int,Any],Dict[str,Any],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – A set of fields to exclude from the output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to use the field’s alias in the dictionary key if defined.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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/2.8/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- Parameters:
indent (
Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.include (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to exclude from the JSON output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to serialize using field aliases.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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]
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 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[dict[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/2.8/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValueError – If
json_datais not a JSON string.
- classmethod model_validate_strings(obj, *, strict=None, context=None)[source]
Validate the given object with string data against the Pydantic model.
-
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.file_conversion(**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_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', '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[fbx, gltf, obj, ply, step, stl], 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[fbx, gltf, obj, ply, sldprt, step, stl], 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
- 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[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]- Returns:
A
pydantic-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]) – 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.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>, 'config': {'title': 'AxisDirectionPair'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.axis_direction_pair.AxisDirectionPair'>>]}, 'ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93928999891072', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'axis': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis.Axis:93928999906112', 'type': 'definition-ref'}, 'type': 'model-field'}, 'direction': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.direction.Direction:93928999957200', '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 get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.axis.Axis:93928999906112', 'sub_type': 'str', 'type': 'enum'}, {'cls': <enum 'Direction'>, 'members': [Direction.POSITIVE, Direction.NEGATIVE], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.direction.Direction:93928999957200', 'sub_type': 'str', 'type': 'enum'}, {'cls': <class 'kittycad.models.system.System'>, 'config': {'title': 'System'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.system.System'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.system.System'>>]}, 'ref': 'kittycad.models.system.System:93928999901504', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'forward': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93928999891072', 'type': 'definition-ref'}, 'type': 'model-field'}, 'up': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.axis_direction_pair.AxisDirectionPair:93928999891072', '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 get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_length.UnitLength:93929004525904', 'sub_type': 'str', 'type': 'enum'}, {'cls': <class 'kittycad.models.selection.default_scene'>, 'config': {'title': 'default_scene'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.default_scene'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.default_scene'>>]}, 'ref': 'kittycad.models.selection.default_scene:93929003016528', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'default_scene', 'schema': {'expected': ['default_scene'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'default_scene', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'kittycad.models.selection.scene_by_index'>, 'config': {'title': 'scene_by_index'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.scene_by_index'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.scene_by_index'>>]}, 'ref': 'kittycad.models.selection.scene_by_index:93929003022560', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'index': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'int'}, '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': 'scene_by_index', 'schema': {'expected': ['scene_by_index'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'scene_by_index', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'kittycad.models.selection.scene_by_name'>, 'config': {'title': 'scene_by_name'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.scene_by_name'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.scene_by_name'>>]}, 'ref': 'kittycad.models.selection.scene_by_name:93929003055600', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'name': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'scene_by_name', 'schema': {'expected': ['scene_by_name'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'scene_by_name', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'kittycad.models.selection.mesh_by_index'>, 'config': {'title': 'mesh_by_index'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.mesh_by_index'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.mesh_by_index'>>]}, 'ref': 'kittycad.models.selection.mesh_by_index:93929003062496', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'index': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'int'}, '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': 'mesh_by_index', 'schema': {'expected': ['mesh_by_index'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'mesh_by_index', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'kittycad.models.selection.mesh_by_name'>, 'config': {'title': 'mesh_by_name'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.selection.mesh_by_name'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.selection.mesh_by_name'>>]}, 'ref': 'kittycad.models.selection.mesh_by_name:93929003069392', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'name': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'mesh_by_name', 'schema': {'expected': ['mesh_by_name'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'mesh_by_name', 'type': 'model-fields'}, 'type': 'model'}, {'cls': <class 'pydantic.root_model.RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, 'config': {'title': "RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]"}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'pydantic.root_model.RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'pydantic.root_model.RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]'>>]}, 'ref': "pydantic.root_model.RootModel:93929004761328[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]:140191472402304]", 'root_model': True, 'schema': {'choices': {'default_scene': {'schema_ref': 'kittycad.models.selection.default_scene:93929003016528', 'type': 'definition-ref'}, 'mesh_by_index': {'schema_ref': 'kittycad.models.selection.mesh_by_index:93929003062496', 'type': 'definition-ref'}, 'mesh_by_name': {'schema_ref': 'kittycad.models.selection.mesh_by_name:93929003069392', 'type': 'definition-ref'}, 'scene_by_index': {'schema_ref': 'kittycad.models.selection.scene_by_index:93929003022560', 'type': 'definition-ref'}, 'scene_by_name': {'schema_ref': 'kittycad.models.selection.scene_by_name:93929003055600', '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.file_conversion'>, 'config': {'title': 'file_conversion'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.async_api_call_output.file_conversion'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.file_conversion'>>]}, 'ref': 'kittycad.models.async_api_call_output.file_conversion:93929000514736', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'completed_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method 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'kittycad.models.input_format.stl'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.input_format.stl'>>]}, 'ref': 'kittycad.models.input_format.stl:93928999934416', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'coords': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.system.System:93928999901504', 'type': 'definition-ref'}, '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': 'stl', 'schema': {'expected': ['stl'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'units': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.unit_length.UnitLength:93929004525904', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'stl', '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': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:93929000223776', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'file_conversion', 'schema': {'expected': ['file_conversion'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'file_conversion', '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 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] = {'AiFeedback': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ApiCallStatus': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Base64Data': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Dict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileExportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileImportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'InputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Optional': <pydantic._internal._model_construction._PydanticWeakRef object>, 'OutputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Point3d': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TextToCadModel': <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>, 'Uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved. Copyright (c) 2000 BeOpen.com. All Rights Reserved. Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved. Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits': Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands for supporting Python development. See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/async_api_call_output.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/async_api_call_output.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.async_api_call_output', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'datetime': <pydantic._internal._model_construction._PydanticWeakRef object>}[source]
- __pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model( ModelSerializer { class: Py( 0x0000556d8cb5b4b0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "src_format_options": SerField { key_py: Py( 0x00007f80def40d70, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Model( ModelSerializer { class: Py( 0x0000556d8cf0d1b0, ), serializer: Union( UnionSerializer { choices: [ Model( ModelSerializer { class: Py( 0x0000556d8cad60d0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df1e3a20, ), ), 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( 0x0000556d8cf17360, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df1e3c00, ), ), 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( 0x0000556d8cf18780, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1a3ad28, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "obj", }, expected_py: None, name: "literal['obj']", }, ), }, ), ), required: true, }, "coords": SerField { key_py: Py( 0x00007f80f00b9380, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "units": SerField { key_py: Py( 0x00007f80f08618f0, ), 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: "obj", }, ), Model( ModelSerializer { class: Py( 0x0000556d8cf1daa0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "coords": SerField { key_py: Py( 0x00007f80f00b9380, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df1e3db0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "ply", }, expected_py: None, name: "literal['ply']", }, ), }, ), ), required: true, }, "units": SerField { key_py: Py( 0x00007f80f08618f0, ), 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: "ply", }, ), Model( ModelSerializer { class: Py( 0x0000556d8cac8e80, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df1e3fc0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "sldprt", }, expected_py: None, name: "literal['sldprt']", }, ), }, ), ), required: true, }, "split_closed_faces": SerField { key_py: Py( 0x00007f80def3fbf0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { 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: "sldprt", }, ), Model( ModelSerializer { class: Py( 0x0000556d8cacb3e0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1a3c468, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "step", }, expected_py: None, name: "literal['step']", }, ), }, ), ), required: true, }, "split_closed_faces": SerField { key_py: Py( 0x00007f80def3fbf0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { 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: "step", }, ), Model( ModelSerializer { class: Py( 0x0000556d8cacd9d0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df1e3f60, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "stl", }, expected_py: None, name: "literal['stl']", }, ), }, ), ), required: true, }, "units": SerField { key_py: Py( 0x00007f80f08618f0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: false, }, ), ), required: true, }, "coords": SerField { key_py: Py( 0x00007f80f00b9380, ), 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: 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[fbx, gltf, obj, ply, sldprt, step, stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), }, ), }, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007f80f1a3c3a8, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb14420, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007f80f1a39688, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007f80de6cbcf0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "output_format_options": SerField { key_py: Py( 0x00007f80def40c30, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Model( ModelSerializer { class: Py( 0x0000556d8cde7f00, ), serializer: Union( UnionSerializer { choices: [ Model( ModelSerializer { class: Py( 0x0000556d8c818bd0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df1e3a20, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "fbx", }, expected_py: None, name: "literal['fbx']", }, ), }, ), ), required: true, }, "storage": SerField { key_py: Py( 0x00007f80e2696cd0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cad7ae0, ), 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: "fbx", }, ), Model( ModelSerializer { class: Py( 0x0000556d8cb6f3f0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "storage": SerField { key_py: Py( 0x00007f80e2696cd0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cdc6670, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df1e3c00, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "gltf", }, expected_py: None, name: "literal['gltf']", }, ), }, ), ), required: true, }, "presentation": SerField { key_py: Py( 0x00007f80dedda370, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cdbcce0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), 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: "gltf", }, ), Model( ModelSerializer { class: Py( 0x0000556d8cb71480, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1a3ad28, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "obj", }, expected_py: None, name: "literal['obj']", }, ), }, ), ), required: true, }, "units": SerField { key_py: Py( 0x00007f80f08618f0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: false, }, ), ), required: true, }, "coords": SerField { key_py: Py( 0x00007f80f00b9380, ), 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: 3, }, ), has_extra: false, root_model: false, name: "obj", }, ), Model( ModelSerializer { class: Py( 0x0000556d8cb75940, ), serializer: Fields( GeneralFieldsSerializer { fields: { "units": SerField { key_py: Py( 0x00007f80f08618f0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: false, }, ), ), required: true, }, "coords": SerField { key_py: Py( 0x00007f80f00b9380, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "selection": SerField { key_py: Py( 0x00007f80df1545f0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df1e3db0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "ply", }, expected_py: None, name: "literal['ply']", }, ), }, ), ), required: true, }, "storage": SerField { key_py: Py( 0x00007f80e2696cd0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cdbd750, ), 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: "ply", }, ), Model( ModelSerializer { class: Py( 0x0000556d8cdd7f50, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1a3c468, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "step", }, expected_py: None, name: "literal['step']", }, ), }, ), ), required: true, }, "coords": SerField { key_py: Py( 0x00007f80f00b9380, ), 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: "step", }, ), Model( ModelSerializer { class: Py( 0x0000556d8cddbbc0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "units": SerField { key_py: Py( 0x00007f80f08618f0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: false, }, ), ), required: true, }, "storage": SerField { key_py: Py( 0x00007f80e2696cd0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb6c740, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "selection": SerField { key_py: Py( 0x00007f80df1545f0, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df1e3f60, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "stl", }, expected_py: None, name: "literal['stl']", }, ), }, ), ), required: true, }, "coords": SerField { key_py: Py( 0x00007f80f00b9380, ), 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: 5, }, ), has_extra: false, root_model: false, name: "stl", }, ), ], name: "Union[fbx, gltf, obj, ply, step, stl]", }, ), has_extra: false, root_model: true, name: "RootModel[Annotated[Union[fbx, gltf, obj, ply, step, stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), }, ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007f80de7ae7b0, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "output_format": SerField { key_py: Py( 0x00007f80df19b330, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cad1230, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "outputs": SerField { key_py: Py( 0x00007f80ecb389f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Dict( DictSerializer { key_serializer: Str( StrSerializer, ), value_serializer: Bytes( BytesSerializer { bytes_mode: Utf8, }, ), filter: SchemaFilter { include: None, exclude: None, }, name: "dict[str, bytes]", }, ), }, ), }, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007f80de7ad8b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df4d9ab0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "file_conversion", }, expected_py: None, name: "literal['file_conversion']", }, ), }, ), ), required: true, }, "src_format": SerField { key_py: Py( 0x00007f80def40cf0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8c4da0a0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007f80de6cbd30, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007f80df1d3630, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007f80f1994fc0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), 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: "file_conversion", }, ), definitions=[Model(ModelSerializer { class: Py(0x556d8cdc94e0), serializer: Fields(GeneralFieldsSerializer { fields: {"type": SerField { key_py: Py(0x7f80f1a3cbf8), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f80dedd9630)), 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(0x7f80f19fae20), 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: "mesh_by_index" }), Enum(EnumSerializer { class: Py(0x556d8cad32d0), serializer: Some(Str(StrSerializer)) }), Model(ModelSerializer { class: Py(0x556d8cdbf8e0), serializer: Fields(GeneralFieldsSerializer { fields: {"index": SerField { key_py: Py(0x7f80f19fae20), alias: None, alias_py: None, serializer: Some(Int(IntSerializer)), required: true }, "type": SerField { key_py: Py(0x7f80f1a3cbf8), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f80df02edb0)), 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: "scene_by_index" }), Enum(EnumSerializer { class: Py(0x556d8cf2e950), serializer: Some(Str(StrSerializer)) }), Model(ModelSerializer { class: Py(0x556d8cdbe150), serializer: Fields(GeneralFieldsSerializer { fields: {"type": SerField { key_py: Py(0x7f80f1a3cbf8), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f80df02f3b0)), 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: "default_scene" }), Model(ModelSerializer { class: Py(0x556d8cac5940), serializer: Fields(GeneralFieldsSerializer { fields: {"forward": SerField { key_py: Py(0x7f80e155ae80), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true })), required: true }, "up": SerField { key_py: Py(0x7f80f06ab0f0), 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(0x556d8cac6b40), serializer: Some(Str(StrSerializer)) }), Model(ModelSerializer { class: Py(0x556d8cdc79f0), serializer: Fields(GeneralFieldsSerializer { fields: {"type": SerField { key_py: Py(0x7f80f1a3cbf8), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f80deddb730)), serializer: Literal(LiteralSerializer { expected_int: {}, expected_str: {"scene_by_name"}, expected_py: None, name: "literal['scene_by_name']" }) })), required: true }, "name": SerField { key_py: Py(0x7f80f1a3a950), 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: "scene_by_name" }), Model(ModelSerializer { class: Py(0x556d8cac3080), serializer: Fields(GeneralFieldsSerializer { fields: {"axis": SerField { key_py: Py(0x7f80f00bca80), alias: None, alias_py: None, serializer: Some(Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: false })), required: true }, "direction": SerField { key_py: Py(0x7f80f06faaf0), 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(0x556d8cdcafd0), serializer: Fields(GeneralFieldsSerializer { fields: {"name": SerField { key_py: Py(0x7f80f1a3a950), alias: None, alias_py: None, serializer: Some(Str(StrSerializer)), required: true }, "type": SerField { key_py: Py(0x7f80f1a3cbf8), alias: None, alias_py: None, serializer: Some(WithDefault(WithDefaultSerializer { default: Default(Py(0x7f80df1d8db0)), serializer: Literal(LiteralSerializer { expected_int: {}, expected_str: {"mesh_by_name"}, expected_py: None, name: "literal['mesh_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: "mesh_by_name" }), Model(ModelSerializer { class: Py(0x556d8cdc2c90), serializer: Union(UnionSerializer { choices: [Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true }), Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true }), Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true }), Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true }), Recursive(DefinitionRefSerializer { definition: "...", retry_with_lax_check: true })], name: "Union[definition-ref, definition-ref, definition-ref, definition-ref, definition-ref]" }), has_extra: false, root_model: true, name: "RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]" })])[source]
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="file_conversion", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007f80df19cdf0, ), path: LookupPath( [ S( "completed_at", Py( 0x00007f80df19d930, ), ), ], ), }, name_py: Py( 0x00007f80de7ad8b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007f80df19c7f0, ), path: LookupPath( [ S( "created_at", Py( 0x00007f80df19cbf0, ), ), ], ), }, name_py: Py( 0x00007f80de7ae7b0, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007f80def50750, ), path: LookupPath( [ S( "error", Py( 0x00007f80def50840, ), ), ], ), }, name_py: Py( 0x00007f80f1994fc0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007f80def50540, ), path: LookupPath( [ S( "id", Py( 0x00007f80def506c0, ), ), ], ), }, name_py: Py( 0x00007f80f1a39688, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80dedb4680, ), 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( 0x00007f80df19ce70, ), path: LookupPath( [ S( "output_format", Py( 0x00007f80df19c070, ), ), ], ), }, name_py: Py( 0x00007f80df19b330, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cad1230, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "fbx": 0, "gltf": 2, "glb": 1, "obj": 3, "ply": 4, "step": 5, "stl": 6, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee793d0, ), Py( 0x00007f80dee79430, ), Py( 0x00007f80dee79490, ), Py( 0x00007f80dee794f0, ), Py( 0x00007f80dee79550, ), Py( 0x00007f80dee795b0, ), Py( 0x00007f80dee79610, ), ], }, 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( 0x00007f80df19d430, ), path: LookupPath( [ S( "output_format_options", Py( 0x00007f80df19d770, ), ), ], ), }, name_py: Py( 0x00007f80def40c30, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Model( ModelValidator { revalidate: Never, validator: TaggedUnion( TaggedUnionValidator { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007f80f1a3cbf8, ), path: LookupPath( [ S( "type", Py( 0x00007f80f1a3cbf8, ), ), ], ), }, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "fbx": 0, "ply": 3, "step": 4, "stl": 5, "obj": 2, "gltf": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "storage", lookup_key: Simple { key: "storage", py_key: Py( 0x00007f80def509c0, ), path: LookupPath( [ S( "storage", Py( 0x00007f80def50960, ), ), ], ), }, name_py: Py( 0x00007f80e2696cd0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cad7ae0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "ascii": 0, "binary": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee7ac30, ), Py( 0x00007f80dee7acf0, ), ], }, 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( 0x00007f80def50900, ), path: LookupPath( [ S( "type", Py( 0x00007f80def50990, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df1e3a20, ), ), 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, values: [ Py( 0x00007f80df1e3a20, ), ], }, expected_repr: "'fbx'", name: "literal['fbx']", }, ), validate_default: false, copy_default: false, name: "default[literal['fbx']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, ], model_name: "fbx", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8c818bd0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "fbx", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "presentation", lookup_key: Simple { key: "presentation", py_key: Py( 0x00007f80df19f4f0, ), path: LookupPath( [ S( "presentation", Py( 0x00007f80df19daf0, ), ), ], ), }, name_py: Py( 0x00007f80dedda370, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cdbcce0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "compact": 0, "pretty": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee7adb0, ), Py( 0x00007f80dee7ae70, ), ], }, 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( 0x00007f80def509f0, ), path: LookupPath( [ S( "storage", Py( 0x00007f80def50a20, ), ), ], ), }, name_py: Py( 0x00007f80e2696cd0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cdc6670, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "embedded": 2, "standard": 1, "binary": 0, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee7af30, ), Py( 0x00007f80dee7aff0, ), Py( 0x00007f80dee7b0b0, ), ], }, 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( 0x00007f80def50a50, ), path: LookupPath( [ S( "type", Py( 0x00007f80def50a80, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df1e3c00, ), ), 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, values: [ Py( 0x00007f80df1e3c00, ), ], }, expected_repr: "'gltf'", name: "literal['gltf']", }, ), validate_default: false, copy_default: false, name: "default[literal['gltf']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, ], model_name: "gltf", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cb6f3f0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "gltf", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007f80def50ab0, ), path: LookupPath( [ S( "coords", Py( 0x00007f80def50b70, ), ), ], ), }, name_py: Py( 0x00007f80f00b9380, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f80def50c60, ), path: LookupPath( [ S( "type", Py( 0x00007f80def50c90, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1a3ad28, ), ), 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, values: [ Py( 0x00007f80f1a3ad28, ), ], }, expected_repr: "'obj'", name: "literal['obj']", }, ), validate_default: false, copy_default: false, name: "default[literal['obj']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007f80def50cc0, ), path: LookupPath( [ S( "units", Py( 0x00007f80def50cf0, ), ), ], ), }, name_py: Py( 0x00007f80f08618f0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "obj", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cb71480, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "obj", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007f80def50d20, ), path: LookupPath( [ S( "coords", Py( 0x00007f80def50d50, ), ), ], ), }, name_py: Py( 0x00007f80f00b9380, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "selection", lookup_key: Simple { key: "selection", py_key: Py( 0x00007f80df19d7b0, ), path: LookupPath( [ S( "selection", Py( 0x00007f80df19c9f0, ), ), ], ), }, name_py: Py( 0x00007f80df1545f0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "storage", lookup_key: Simple { key: "storage", py_key: Py( 0x00007f80def50d80, ), path: LookupPath( [ S( "storage", Py( 0x00007f80def50db0, ), ), ], ), }, name_py: Py( 0x00007f80e2696cd0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cdbd750, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "binary_big_endian": 2, "ascii": 0, "binary_little_endian": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee7b110, ), Py( 0x00007f80dee7b170, ), Py( 0x00007f80dee7b1d0, ), ], }, 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( 0x00007f80def50de0, ), path: LookupPath( [ S( "type", Py( 0x00007f80def50e10, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df1e3db0, ), ), 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, values: [ Py( 0x00007f80df1e3db0, ), ], }, expected_repr: "'ply'", name: "literal['ply']", }, ), validate_default: false, copy_default: false, name: "default[literal['ply']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007f80def50e40, ), path: LookupPath( [ S( "units", Py( 0x00007f80def50e70, ), ), ], ), }, name_py: Py( 0x00007f80f08618f0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "ply", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cb75940, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "ply", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007f80def50ea0, ), path: LookupPath( [ S( "coords", Py( 0x00007f80def50ed0, ), ), ], ), }, name_py: Py( 0x00007f80f00b9380, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f80def50f00, ), path: LookupPath( [ S( "type", Py( 0x00007f80def50f30, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1a3c468, ), ), 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, values: [ Py( 0x00007f80f1a3c468, ), ], }, expected_repr: "'step'", name: "literal['step']", }, ), validate_default: false, copy_default: false, name: "default[literal['step']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, ], model_name: "step", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cdd7f50, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "step", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007f80def50f60, ), path: LookupPath( [ S( "coords", Py( 0x00007f80def50f90, ), ), ], ), }, name_py: Py( 0x00007f80f00b9380, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "selection", lookup_key: Simple { key: "selection", py_key: Py( 0x00007f80df19c8b0, ), path: LookupPath( [ S( "selection", Py( 0x00007f80df19c230, ), ), ], ), }, name_py: Py( 0x00007f80df1545f0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "storage", lookup_key: Simple { key: "storage", py_key: Py( 0x00007f80def50fc0, ), path: LookupPath( [ S( "storage", Py( 0x00007f80def50ff0, ), ), ], ), }, name_py: Py( 0x00007f80e2696cd0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb6c740, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "ascii": 0, "binary": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee7b8f0, ), Py( 0x00007f80dee7b950, ), ], }, 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( 0x00007f80def51020, ), path: LookupPath( [ S( "type", Py( 0x00007f80def51050, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df1e3f60, ), ), 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, values: [ Py( 0x00007f80df1e3f60, ), ], }, expected_repr: "'stl'", name: "literal['stl']", }, ), validate_default: false, copy_default: false, name: "default[literal['stl']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007f80def51080, ), path: LookupPath( [ S( "units", Py( 0x00007f80def510b0, ), ), ], ), }, name_py: Py( 0x00007f80f08618f0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "stl", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cddbbc0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "stl", }, ), ], }, from_attributes: true, strict: false, custom_error: None, tags_repr: "'fbx', 'gltf', 'obj', 'ply', 'step', 'stl'", discriminator_repr: "'type'", name: "tagged-union[fbx,gltf,obj,ply,step,stl]", }, ), class: Py( 0x0000556d8cde7f00, ), post_init: None, frozen: false, custom_init: false, root_model: true, undefined: Py( 0x00007f80e0935e70, ), name: "RootModel[Annotated[Union[fbx, gltf, obj, ply, step, stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), name: "nullable[RootModel[Annotated[Union[fbx, gltf, obj, ply, step, stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[RootModel[Annotated[Union[fbx, gltf, obj, ply, step, stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]]]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "outputs", lookup_key: Simple { key: "outputs", py_key: Py( 0x00007f80def510e0, ), path: LookupPath( [ S( "outputs", Py( 0x00007f80def51110, ), ), ], ), }, name_py: Py( 0x00007f80ecb389f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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: Bytes( BytesValidator { strict: false, }, ), func: Py( 0x0000556d8cb5b0d0, ), config: Py( 0x00007f80dedb4680, ), name: "function-after[Base64Data(), bytes]", field_name: None, info_arg: false, }, ), min_length: None, max_length: None, name: "dict[str,function-after[Base64Data(), bytes]]", }, ), name: "nullable[dict[str,function-after[Base64Data(), bytes]]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[dict[str,function-after[Base64Data(), bytes]]]]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "src_format", lookup_key: Simple { key: "src_format", py_key: Py( 0x00007f80df19d6b0, ), path: LookupPath( [ S( "src_format", Py( 0x00007f80df19c830, ), ), ], ), }, name_py: Py( 0x00007f80def40cf0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8c4da0a0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "sldprt": 4, "obj": 2, "fbx": 0, "step": 5, "stl": 6, "ply": 3, "gltf": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee796d0, ), Py( 0x00007f80dee79730, ), Py( 0x00007f80dee79790, ), Py( 0x00007f80dee797f0, ), Py( 0x00007f80dee79850, ), Py( 0x00007f80dee798b0, ), Py( 0x00007f80dee79910, ), ], }, 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( 0x00007f80df19da70, ), path: LookupPath( [ S( "src_format_options", Py( 0x00007f80df19c0b0, ), ), ], ), }, name_py: Py( 0x00007f80def40d70, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Model( ModelValidator { revalidate: Never, validator: TaggedUnion( TaggedUnionValidator { discriminator: LookupKey( Simple { key: "type", py_key: Py( 0x00007f80f1a3cbf8, ), path: LookupPath( [ S( "type", Py( 0x00007f80f1a3cbf8, ), ), ], ), }, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "stl": 6, "obj": 2, "sldprt": 4, "fbx": 0, "gltf": 1, "ply": 3, "step": 5, }, ), expected_py_dict: None, expected_py_values: None, values: [ Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f80def51140, ), path: LookupPath( [ S( "type", Py( 0x00007f80def51170, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df1e3a20, ), ), 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, values: [ Py( 0x00007f80df1e3a20, ), ], }, expected_repr: "'fbx'", name: "literal['fbx']", }, ), validate_default: false, copy_default: false, name: "default[literal['fbx']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, ], model_name: "fbx", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cad60d0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "fbx", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f80def511a0, ), path: LookupPath( [ S( "type", Py( 0x00007f80def511d0, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df1e3c00, ), ), 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, values: [ Py( 0x00007f80df1e3c00, ), ], }, expected_repr: "'gltf'", name: "literal['gltf']", }, ), validate_default: false, copy_default: false, name: "default[literal['gltf']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, ], model_name: "gltf", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cf17360, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "gltf", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007f80def51200, ), path: LookupPath( [ S( "coords", Py( 0x00007f80def51230, ), ), ], ), }, name_py: Py( 0x00007f80f00b9380, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f80def51260, ), path: LookupPath( [ S( "type", Py( 0x00007f80def51290, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1a3ad28, ), ), 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, values: [ Py( 0x00007f80f1a3ad28, ), ], }, expected_repr: "'obj'", name: "literal['obj']", }, ), validate_default: false, copy_default: false, name: "default[literal['obj']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007f80def512c0, ), path: LookupPath( [ S( "units", Py( 0x00007f80def512f0, ), ), ], ), }, name_py: Py( 0x00007f80f08618f0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "obj", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cf18780, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "obj", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007f80def51320, ), path: LookupPath( [ S( "coords", Py( 0x00007f80def51350, ), ), ], ), }, name_py: Py( 0x00007f80f00b9380, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f80def51380, ), path: LookupPath( [ S( "type", Py( 0x00007f80def513b0, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df1e3db0, ), ), 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, values: [ Py( 0x00007f80df1e3db0, ), ], }, expected_repr: "'ply'", name: "literal['ply']", }, ), validate_default: false, copy_default: false, name: "default[literal['ply']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007f80def513e0, ), path: LookupPath( [ S( "units", Py( 0x00007f80def51410, ), ), ], ), }, name_py: Py( 0x00007f80f08618f0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "ply", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cf1daa0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "ply", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "split_closed_faces", lookup_key: Simple { key: "split_closed_faces", py_key: Py( 0x00007f80df19c2b0, ), path: LookupPath( [ S( "split_closed_faces", Py( 0x00007f80df19c430, ), ), ], ), }, name_py: Py( 0x00007f80def3fbf0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Bool( BoolValidator { strict: false, }, ), name: "nullable[bool]", }, ), validate_default: false, copy_default: false, name: "default[nullable[bool]]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f80def51440, ), path: LookupPath( [ S( "type", Py( 0x00007f80def51470, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df1e3fc0, ), ), 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, values: [ Py( 0x00007f80df1e3fc0, ), ], }, expected_repr: "'sldprt'", name: "literal['sldprt']", }, ), validate_default: false, copy_default: false, name: "default[literal['sldprt']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, ], model_name: "sldprt", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cac8e80, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "sldprt", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "split_closed_faces", lookup_key: Simple { key: "split_closed_faces", py_key: Py( 0x00007f80df19e1f0, ), path: LookupPath( [ S( "split_closed_faces", Py( 0x00007f80df19c1b0, ), ), ], ), }, name_py: Py( 0x00007f80def3fbf0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Bool( BoolValidator { strict: false, }, ), name: "nullable[bool]", }, ), validate_default: false, copy_default: false, name: "default[nullable[bool]]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f80def514a0, ), path: LookupPath( [ S( "type", Py( 0x00007f80def514d0, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1a3c468, ), ), 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, values: [ Py( 0x00007f80f1a3c468, ), ], }, expected_repr: "'step'", name: "literal['step']", }, ), validate_default: false, copy_default: false, name: "default[literal['step']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, ], model_name: "step", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cacb3e0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "step", }, ), Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "coords", lookup_key: Simple { key: "coords", py_key: Py( 0x00007f80def51500, ), path: LookupPath( [ S( "coords", Py( 0x00007f80def51530, ), ), ], ), }, name_py: Py( 0x00007f80f00b9380, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f80def51560, ), path: LookupPath( [ S( "type", Py( 0x00007f80def51590, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df1e3f60, ), ), 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, values: [ Py( 0x00007f80df1e3f60, ), ], }, expected_repr: "'stl'", name: "literal['stl']", }, ), validate_default: false, copy_default: false, name: "default[literal['stl']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "units", lookup_key: Simple { key: "units", py_key: Py( 0x00007f80def515c0, ), path: LookupPath( [ S( "units", Py( 0x00007f80def515f0, ), ), ], ), }, name_py: Py( 0x00007f80f08618f0, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "stl", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cacd9d0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "stl", }, ), ], }, from_attributes: true, strict: false, custom_error: None, tags_repr: "'fbx', 'gltf', 'obj', 'ply', 'sldprt', 'step', 'stl'", discriminator_repr: "'type'", name: "tagged-union[fbx,gltf,obj,ply,sldprt,step,stl]", }, ), class: Py( 0x0000556d8cf0d1b0, ), post_init: None, frozen: false, custom_init: false, root_model: true, undefined: Py( 0x00007f80e0935e70, ), name: "RootModel[Annotated[Union[fbx, gltf, obj, ply, sldprt, step, stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]", }, ), name: "nullable[RootModel[Annotated[Union[fbx, gltf, obj, ply, sldprt, step, stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[RootModel[Annotated[Union[fbx, gltf, obj, ply, sldprt, step, stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]]]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "started_at", lookup_key: Simple { key: "started_at", py_key: Py( 0x00007f80df19cdb0, ), path: LookupPath( [ S( "started_at", Py( 0x00007f80df19cd30, ), ), ], ), }, name_py: Py( 0x00007f80de6cbcf0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007f80def51620, ), path: LookupPath( [ S( "status", Py( 0x00007f80def51650, ), ), ], ), }, name_py: Py( 0x00007f80f1a3c3a8, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb14420, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "failed": 4, "uploaded": 1, "in_progress": 2, "completed": 3, "queued": 0, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dede6750, ), Py( 0x00007f80dede67b0, ), Py( 0x00007f80dede6870, ), Py( 0x00007f80dede68d0, ), Py( 0x00007f80dede6930, ), ], }, 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( 0x00007f80def516e0, ), path: LookupPath( [ S( "type", Py( 0x00007f80def51710, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df4d9ab0, ), ), 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, values: [ Py( 0x00007f80df4d9ab0, ), ], }, expected_repr: "'file_conversion'", name: "literal['file_conversion']", }, ), validate_default: false, copy_default: false, name: "default[literal['file_conversion']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007f80df19c170, ), path: LookupPath( [ S( "updated_at", Py( 0x00007f80df19e170, ), ), ], ), }, name_py: Py( 0x00007f80de6cbd30, ), 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( 0x00007f80def51dd0, ), path: LookupPath( [ S( "user_id", Py( 0x00007f80def51980, ), ), ], ), }, name_py: Py( 0x00007f80df1d3630, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80dedb4680, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "file_conversion", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cb5b4b0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "file_conversion", }, ), definitions=[Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "forward", lookup_key: Simple { key: "forward", py_key: Py(0x7f80df0ffed0), path: LookupPath([S("forward", Py(0x7f80df0ffd80))]) }, name_py: Py(0x7f80e155ae80), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "up", lookup_key: Simple { key: "up", py_key: Py(0x7f80df0fffc0), path: LookupPath([S("up", Py(0x7f80df0fff00))]) }, name_py: Py(0x7f80f06ab0f0), 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(0x556d8cac5940), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f80e0935e70), name: "System" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "index", lookup_key: Simple { key: "index", py_key: Py(0x7f80def50930), path: LookupPath([S("index", Py(0x7f80def50870))]) }, name_py: Py(0x7f80f19fae20), validator: Int(IntValidator { strict: false }), frozen: false }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7f80def501b0), path: LookupPath([S("type", Py(0x7f80def504b0))]) }, name_py: Py(0x7f80f1a3cbf8), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f80dedd9630)), 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, values: [Py(0x7f80dedd9630)] }, expected_repr: "'mesh_by_index'", name: "literal['mesh_by_index']" }), validate_default: false, copy_default: false, name: "default[literal['mesh_by_index']]", undefined: Py(0x7f80e0935e70) }), frozen: false }], model_name: "mesh_by_index", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x556d8cdc94e0), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f80e0935e70), name: "mesh_by_index" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "name", lookup_key: Simple { key: "name", py_key: Py(0x7f80def508a0), path: LookupPath([S("name", Py(0x7f80def50780))]) }, name_py: Py(0x7f80f1a3a950), validator: Str(StrValidator { strict: false, coerce_numbers_to_str: false }), frozen: false }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7f80def50660), path: LookupPath([S("type", Py(0x7f80def506f0))]) }, name_py: Py(0x7f80f1a3cbf8), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f80df1d8db0)), 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, values: [Py(0x7f80df1d8db0)] }, expected_repr: "'mesh_by_name'", name: "literal['mesh_by_name']" }), validate_default: false, copy_default: false, name: "default[literal['mesh_by_name']]", undefined: Py(0x7f80e0935e70) }), frozen: false }], model_name: "mesh_by_name", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x556d8cdcafd0), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f80e0935e70), name: "mesh_by_name" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "name", lookup_key: Simple { key: "name", py_key: Py(0x7f80def50360), path: LookupPath([S("name", Py(0x7f80def53240))]) }, name_py: Py(0x7f80f1a3a950), validator: Str(StrValidator { strict: false, coerce_numbers_to_str: false }), frozen: false }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7f80def50240), path: LookupPath([S("type", Py(0x7f80def50570))]) }, name_py: Py(0x7f80f1a3cbf8), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f80deddb730)), 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, values: [Py(0x7f80deddb730)] }, expected_repr: "'scene_by_name'", name: "literal['scene_by_name']" }), validate_default: false, copy_default: false, name: "default[literal['scene_by_name']]", undefined: Py(0x7f80e0935e70) }), frozen: false }], model_name: "scene_by_name", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x556d8cdc79f0), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f80e0935e70), name: "scene_by_name" }), Model(ModelValidator { revalidate: Never, validator: TaggedUnion(TaggedUnionValidator { discriminator: LookupKey(Simple { key: "type", py_key: Py(0x7f80f1a3cbf8), path: LookupPath([S("type", Py(0x7f80f1a3cbf8))]) }), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"scene_by_index": 1, "mesh_by_index": 3, "mesh_by_name": 4, "scene_by_name": 2, "default_scene": 0}), expected_py_dict: None, expected_py_values: None, values: [DefinitionRef(DefinitionRefValidator { definition: "default_scene" }), DefinitionRef(DefinitionRefValidator { definition: "scene_by_index" }), DefinitionRef(DefinitionRefValidator { definition: "scene_by_name" }), DefinitionRef(DefinitionRefValidator { definition: "mesh_by_index" }), DefinitionRef(DefinitionRefValidator { definition: "mesh_by_name" })] }, 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[default_scene,scene_by_index,scene_by_name,mesh_by_index,mesh_by_name]" }), class: Py(0x556d8cdc2c90), post_init: None, frozen: false, custom_init: false, root_model: true, undefined: Py(0x7f80e0935e70), name: "RootModel[Annotated[Union[default_scene, scene_by_index, scene_by_name, mesh_by_index, mesh_by_name], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]" }), StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x556d8cf2e950), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"m": 3, "cm": 0, "in": 2, "mm": 4, "ft": 1, "yd": 5}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f80dee79af0), Py(0x7f80dee7a030), Py(0x7f80dee7a090), Py(0x7f80dee79fd0), Py(0x7f80dee7a1b0), Py(0x7f80dee7a270)] }, missing: None, expected_repr: "'cm', 'ft', 'in', 'm', 'mm' or 'yd'", strict: false, class_repr: "UnitLength", name: "str-enum[UnitLength]" }), StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x556d8cac6b40), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"y": 0, "z": 1}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f80dee79d30), Py(0x7f80dee79d90)] }, missing: None, expected_repr: "'y' or 'z'", strict: false, class_repr: "Axis", name: "str-enum[Axis]" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "axis", lookup_key: Simple { key: "axis", py_key: Py(0x7f80df0ffea0), path: LookupPath([S("axis", Py(0x7f80df0fff60))]) }, name_py: Py(0x7f80f00bca80), validator: DefinitionRef(DefinitionRefValidator { definition: "..." }), frozen: false }, Field { name: "direction", lookup_key: Simple { key: "direction", py_key: Py(0x7f80df19ceb0), path: LookupPath([S("direction", Py(0x7f80df19cbb0))]) }, name_py: Py(0x7f80f06faaf0), 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(0x556d8cac3080), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f80e0935e70), name: "AxisDirectionPair" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "index", lookup_key: Simple { key: "index", py_key: Py(0x7f80def507b0), path: LookupPath([S("index", Py(0x7f80def50090))]) }, name_py: Py(0x7f80f19fae20), validator: Int(IntValidator { strict: false }), frozen: false }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7f80def50060), path: LookupPath([S("type", Py(0x7f80def502d0))]) }, name_py: Py(0x7f80f1a3cbf8), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f80df02edb0)), 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, values: [Py(0x7f80df02edb0)] }, expected_repr: "'scene_by_index'", name: "literal['scene_by_index']" }), validate_default: false, copy_default: false, name: "default[literal['scene_by_index']]", undefined: Py(0x7f80e0935e70) }), frozen: false }], model_name: "scene_by_index", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x556d8cdbf8e0), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f80e0935e70), name: "scene_by_index" }), Model(ModelValidator { revalidate: Never, validator: ModelFields(ModelFieldsValidator { fields: [Field { name: "type", lookup_key: Simple { key: "type", py_key: Py(0x7f80df0ffe40), path: LookupPath([S("type", Py(0x7f80df0fff90))]) }, name_py: Py(0x7f80f1a3cbf8), validator: WithDefault(WithDefaultValidator { default: Default(Py(0x7f80df02f3b0)), 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, values: [Py(0x7f80df02f3b0)] }, expected_repr: "'default_scene'", name: "literal['default_scene']" }), validate_default: false, copy_default: false, name: "default[literal['default_scene']]", undefined: Py(0x7f80e0935e70) }), frozen: false }], model_name: "default_scene", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true }), class: Py(0x556d8cdbe150), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py(0x7f80e0935e70), name: "default_scene" }), StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x556d8cad32d0), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"negative": 1, "positive": 0}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7f80dee79eb0), Py(0x7f80dee79f10)] }, missing: None, expected_repr: "'positive' or 'negative'", strict: false, class_repr: "Direction", name: "str-enum[Direction]" })], cache_strings=True)[source]
- __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[fbx, gltf, obj, ply, step, stl], 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[fbx, gltf, obj, ply, sldprt, step, stl], 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]
- __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:`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `- Parameters:
include – Optional set or mapping specifying which fields to include in the copied model.
exclude – Optional set or mapping specifying which fields to exclude in the copied model.
update – Optional dictionary of field-value pairs to override field values in the copied model.
deep – If True, the values of fields that are Pydantic models will be deep-copied.
- Returns:
A copy of the model with included, excluded and updated fields as specified.
- 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_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding
ComputedFieldInfoobjects.
- 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.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy
Returns a copy of the model.
- model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- Parameters:
mode (
Union[Literal['json','python'],str]) – The mode in 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],Dict[int,Any],Dict[str,Any],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – A set of fields to exclude from the output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to use the field’s alias in the dictionary key if defined.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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/2.8/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- Parameters:
indent (
Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.include (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to exclude from the JSON output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to serialize using field aliases.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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[fbx, gltf, obj, ply, step, stl], 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[fbx, gltf, obj, ply, sldprt, step, stl], 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]
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 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[dict[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/2.8/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValueError – If
json_datais not a JSON string.
- classmethod model_validate_strings(obj, *, strict=None, context=None)[source]
Validate the given object with string data against the Pydantic model.
-
output_format:
FileExportFormat[source]
-
output_format_options:
Optional[RootModel[Annotated[Union[fbx, gltf, obj, ply, step, stl], 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[fbx, gltf, obj, ply, sldprt, step, stl], FieldInfo(annotation=NoneType, required=True, discriminator='type')]]][source]
-
status:
ApiCallStatus[source]
- class kittycad.models.async_api_call_output.file_density(**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_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', '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': typing.Optional[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
- 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[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]- Returns:
A
pydantic-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]) – 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.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.async_api_call_output.file_density'>, 'config': {'title': 'file_density'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.async_api_call_output.file_density'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.file_density'>>]}, 'ref': 'kittycad.models.async_api_call_output.file_density:93929000972160', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'completed_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'density': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'error': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'material_mass': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'material_mass_unit': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'UnitMass'>, 'members': [UnitMass.G, UnitMass.KG, UnitMass.LB], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_mass.UnitMass:93929000510400', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'output_unit': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'UnitDensity'>, 'members': [UnitDensity.LB_FT3, UnitDensity.KG_M3], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_density.UnitDensity:93929000508624', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'src_format': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'FileImportFormat'>, 'members': [FileImportFormat.FBX, FileImportFormat.GLTF, FileImportFormat.OBJ, FileImportFormat.PLY, FileImportFormat.SLDPRT, FileImportFormat.STEP, FileImportFormat.STL], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_import_format.FileImportFormat:93928993693856', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'started_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:93929000223776', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'file_density', 'schema': {'expected': ['file_density'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'file_density', 'type': 'model-fields'}, 'type': 'model'}[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 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] = {'AiFeedback': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ApiCallStatus': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Base64Data': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Dict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileExportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileImportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'InputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Optional': <pydantic._internal._model_construction._PydanticWeakRef object>, 'OutputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Point3d': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TextToCadModel': <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>, 'Uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved. Copyright (c) 2000 BeOpen.com. All Rights Reserved. Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved. Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits': Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands for supporting Python development. See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/async_api_call_output.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/async_api_call_output.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.async_api_call_output', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'datetime': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_center_of_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_conversion': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_volume': <pydantic._internal._model_construction._PydanticWeakRef object>}[source]
- __pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model( ModelSerializer { class: Py( 0x0000556d8cbcaf80, ), serializer: Fields( GeneralFieldsSerializer { fields: { "started_at": SerField { key_py: Py( 0x00007f80de6cbcf0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007f80df1d3630, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007f80f1994fc0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007f80f1a39688, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "material_mass": SerField { key_py: Py( 0x00007f80df1d9830, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Float( FloatSerializer { inf_nan_mode: Null, }, ), }, ), }, ), ), required: true, }, "material_mass_unit": SerField { key_py: Py( 0x00007f80df1dbb70, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb5a3c0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "src_format": SerField { key_py: Py( 0x00007f80def40cf0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8c4da0a0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df4d9830, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "file_density", }, expected_py: None, name: "literal['file_density']", }, ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007f80de6cbd30, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "density": SerField { key_py: Py( 0x00007f80efed9980, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Float( FloatSerializer { inf_nan_mode: Null, }, ), }, ), }, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007f80de7ad8b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007f80f1a3c3a8, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb14420, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "output_unit": SerField { key_py: Py( 0x00007f80dedc5eb0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb59cd0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007f80de7ae7b0, ), 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: "file_density", }, ), definitions=[])[source]
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="file_density", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007f80df0169b0, ), path: LookupPath( [ S( "completed_at", Py( 0x00007f80de7ce7f0, ), ), ], ), }, name_py: Py( 0x00007f80de7ad8b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007f80de7ce870, ), path: LookupPath( [ S( "created_at", Py( 0x00007f80de7ce830, ), ), ], ), }, name_py: Py( 0x00007f80de7ae7b0, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "density", lookup_key: Simple { key: "density", py_key: Py( 0x00007f80dedd7e40, ), path: LookupPath( [ S( "density", Py( 0x00007f80dedd7d20, ), ), ], ), }, name_py: Py( 0x00007f80efed9980, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007f80dede0090, ), path: LookupPath( [ S( "error", Py( 0x00007f80dede0060, ), ), ], ), }, name_py: Py( 0x00007f80f1994fc0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007f80dede3240, ), path: LookupPath( [ S( "id", Py( 0x00007f80dede00c0, ), ), ], ), }, name_py: Py( 0x00007f80f1a39688, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80de7ce7c0, ), 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( 0x00007f80de7ce8b0, ), path: LookupPath( [ S( "material_mass", Py( 0x00007f80de7ce8f0, ), ), ], ), }, name_py: Py( 0x00007f80df1d9830, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "material_mass_unit", lookup_key: Simple { key: "material_mass_unit", py_key: Py( 0x00007f80de7ce930, ), path: LookupPath( [ S( "material_mass_unit", Py( 0x00007f80de7ce970, ), ), ], ), }, name_py: Py( 0x00007f80df1dbb70, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb5a3c0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "g": 0, "lb": 2, "kg": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80de79c8f0, ), Py( 0x00007f80de79c950, ), Py( 0x00007f80de79c9b0, ), ], }, 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( 0x00007f80de7ce9b0, ), path: LookupPath( [ S( "output_unit", Py( 0x00007f80de7ce9f0, ), ), ], ), }, name_py: Py( 0x00007f80dedc5eb0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb59cd0, ), 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, values: [ Py( 0x00007f80de79c7d0, ), Py( 0x00007f80de79c830, ), ], }, 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( 0x00007f80de7cea30, ), path: LookupPath( [ S( "src_format", Py( 0x00007f80de7cea70, ), ), ], ), }, name_py: Py( 0x00007f80def40cf0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8c4da0a0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "obj": 2, "gltf": 1, "fbx": 0, "sldprt": 4, "stl": 6, "ply": 3, "step": 5, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee796d0, ), Py( 0x00007f80dee79730, ), Py( 0x00007f80dee79790, ), Py( 0x00007f80dee797f0, ), Py( 0x00007f80dee79850, ), Py( 0x00007f80dee798b0, ), Py( 0x00007f80dee79910, ), ], }, 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( 0x00007f80de7ceab0, ), path: LookupPath( [ S( "started_at", Py( 0x00007f80de7ceaf0, ), ), ], ), }, name_py: Py( 0x00007f80de6cbcf0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007f80dede0030, ), path: LookupPath( [ S( "status", Py( 0x00007f80dede0150, ), ), ], ), }, name_py: Py( 0x00007f80f1a3c3a8, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb14420, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "in_progress": 2, "uploaded": 1, "queued": 0, "completed": 3, "failed": 4, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dede6750, ), Py( 0x00007f80dede67b0, ), Py( 0x00007f80dede6870, ), Py( 0x00007f80dede68d0, ), Py( 0x00007f80dede6930, ), ], }, 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( 0x00007f80dede0120, ), path: LookupPath( [ S( "type", Py( 0x00007f80dede00f0, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df4d9830, ), ), 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, values: [ Py( 0x00007f80df4d9830, ), ], }, expected_repr: "'file_density'", name: "literal['file_density']", }, ), validate_default: false, copy_default: false, name: "default[literal['file_density']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007f80de7ceb30, ), path: LookupPath( [ S( "updated_at", Py( 0x00007f80de7ceb70, ), ), ], ), }, name_py: Py( 0x00007f80de6cbd30, ), 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( 0x00007f80dede0180, ), path: LookupPath( [ S( "user_id", Py( 0x00007f80dede01b0, ), ), ], ), }, name_py: Py( 0x00007f80df1d3630, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80de7ce7c0, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "file_density", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cbcaf80, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "file_density", }, ), definitions=[], cache_strings=True)[source]
- __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: Optional[float] = None, 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]
- __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:`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `- Parameters:
include – Optional set or mapping specifying which fields to include in the copied model.
exclude – Optional set or mapping specifying which fields to exclude in the copied model.
update – Optional dictionary of field-value pairs to override field values in the copied model.
deep – If True, the values of fields that are Pydantic models will be deep-copied.
- Returns:
A copy of the model with included, excluded and updated fields as specified.
- 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_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding
ComputedFieldInfoobjects.
- 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.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy
Returns a copy of the model.
- model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- Parameters:
mode (
Union[Literal['json','python'],str]) – The mode in 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],Dict[int,Any],Dict[str,Any],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – A set of fields to exclude from the output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to use the field’s alias in the dictionary key if defined.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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/2.8/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- Parameters:
indent (
Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.include (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to exclude from the JSON output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to serialize using field aliases.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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=Union[float, NoneType], required=False, default=None), '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]
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 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[dict[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/2.8/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValueError – If
json_datais not a JSON string.
- classmethod model_validate_strings(obj, *, strict=None, context=None)[source]
Validate the given object with string data against the Pydantic model.
-
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.file_mass(**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_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', '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': typing.Optional[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
- 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[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]- Returns:
A
pydantic-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]) – 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.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.async_api_call_output.file_mass'>, 'config': {'title': 'file_mass'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.async_api_call_output.file_mass'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.file_mass'>>]}, 'ref': 'kittycad.models.async_api_call_output.file_mass:93929000910480', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'completed_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'error': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'mass': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'material_density': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'material_density_unit': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'UnitDensity'>, 'members': [UnitDensity.LB_FT3, UnitDensity.KG_M3], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_density.UnitDensity:93929000508624', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'output_unit': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'UnitMass'>, 'members': [UnitMass.G, UnitMass.KG, UnitMass.LB], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_mass.UnitMass:93929000510400', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'src_format': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'FileImportFormat'>, 'members': [FileImportFormat.FBX, FileImportFormat.GLTF, FileImportFormat.OBJ, FileImportFormat.PLY, FileImportFormat.SLDPRT, FileImportFormat.STEP, FileImportFormat.STL], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_import_format.FileImportFormat:93928993693856', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'started_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:93929000223776', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'file_mass', 'schema': {'expected': ['file_mass'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'file_mass', 'type': 'model-fields'}, 'type': 'model'}[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 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] = {'AiFeedback': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ApiCallStatus': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Base64Data': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Dict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileExportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileImportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'InputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Optional': <pydantic._internal._model_construction._PydanticWeakRef object>, 'OutputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Point3d': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TextToCadModel': <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>, 'Uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved. Copyright (c) 2000 BeOpen.com. All Rights Reserved. Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved. Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits': Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands for supporting Python development. See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/async_api_call_output.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/async_api_call_output.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.async_api_call_output', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'datetime': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_center_of_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_conversion': <pydantic._internal._model_construction._PydanticWeakRef object>}[source]
- __pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model( ModelSerializer { class: Py( 0x0000556d8cbbbe90, ), serializer: Fields( GeneralFieldsSerializer { fields: { "updated_at": SerField { key_py: Py( 0x00007f80de6cbd30, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007f80f1994fc0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007f80f1a3c3a8, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb14420, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007f80df1d3630, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007f80de7ae7b0, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "mass": SerField { key_py: Py( 0x00007f80df6e30f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Float( FloatSerializer { inf_nan_mode: Null, }, ), }, ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007f80f1a39688, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007f80de7ad8b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "material_density_unit": SerField { key_py: Py( 0x00007f80dedc5870, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb59cd0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "src_format": SerField { key_py: Py( 0x00007f80def40cf0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8c4da0a0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df4dbaf0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "file_mass", }, expected_py: None, name: "literal['file_mass']", }, ), }, ), ), required: true, }, "material_density": SerField { key_py: Py( 0x00007f80dedc58f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Float( FloatSerializer { inf_nan_mode: Null, }, ), }, ), }, ), ), required: true, }, "output_unit": SerField { key_py: Py( 0x00007f80dedc5eb0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb5a3c0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007f80de6cbcf0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), 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: "file_mass", }, ), definitions=[])[source]
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="file_mass", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007f80dee11ff0, ), path: LookupPath( [ S( "completed_at", Py( 0x00007f80dee119b0, ), ), ], ), }, name_py: Py( 0x00007f80de7ad8b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007f80dee11a70, ), path: LookupPath( [ S( "created_at", Py( 0x00007f80dee11a30, ), ), ], ), }, name_py: Py( 0x00007f80de7ae7b0, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007f80dedd6130, ), path: LookupPath( [ S( "error", Py( 0x00007f80dedd4ae0, ), ), ], ), }, name_py: Py( 0x00007f80f1994fc0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007f80dedd6220, ), path: LookupPath( [ S( "id", Py( 0x00007f80dedd5fb0, ), ), ], ), }, name_py: Py( 0x00007f80f1a39688, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80dee11880, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "mass", lookup_key: Simple { key: "mass", py_key: Py( 0x00007f80dedd61c0, ), path: LookupPath( [ S( "mass", Py( 0x00007f80dedd4ba0, ), ), ], ), }, name_py: Py( 0x00007f80df6e30f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "material_density", lookup_key: Simple { key: "material_density", py_key: Py( 0x00007f80dee12ab0, ), path: LookupPath( [ S( "material_density", Py( 0x00007f80dee12a70, ), ), ], ), }, name_py: Py( 0x00007f80dedc58f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "material_density_unit", lookup_key: Simple { key: "material_density_unit", py_key: Py( 0x00007f80dee12530, ), path: LookupPath( [ S( "material_density_unit", Py( 0x00007f80dee11b70, ), ), ], ), }, name_py: Py( 0x00007f80dedc5870, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb59cd0, ), 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, values: [ Py( 0x00007f80de79c7d0, ), Py( 0x00007f80de79c830, ), ], }, 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( 0x00007f80df3216f0, ), path: LookupPath( [ S( "output_unit", Py( 0x00007f80dee12e70, ), ), ], ), }, name_py: Py( 0x00007f80dedc5eb0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb5a3c0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "lb": 2, "g": 0, "kg": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80de79c8f0, ), Py( 0x00007f80de79c950, ), Py( 0x00007f80de79c9b0, ), ], }, 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( 0x00007f80dee12e30, ), path: LookupPath( [ S( "src_format", Py( 0x00007f80dee12df0, ), ), ], ), }, name_py: Py( 0x00007f80def40cf0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8c4da0a0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "sldprt": 4, "step": 5, "ply": 3, "stl": 6, "fbx": 0, "obj": 2, "gltf": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee796d0, ), Py( 0x00007f80dee79730, ), Py( 0x00007f80dee79790, ), Py( 0x00007f80dee797f0, ), Py( 0x00007f80dee79850, ), Py( 0x00007f80dee798b0, ), Py( 0x00007f80dee79910, ), ], }, 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( 0x00007f80dee12d30, ), path: LookupPath( [ S( "started_at", Py( 0x00007f80dee12ef0, ), ), ], ), }, name_py: Py( 0x00007f80de6cbcf0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007f80dedd6250, ), path: LookupPath( [ S( "status", Py( 0x00007f80dedd6280, ), ), ], ), }, name_py: Py( 0x00007f80f1a3c3a8, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb14420, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "completed": 3, "in_progress": 2, "failed": 4, "queued": 0, "uploaded": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dede6750, ), Py( 0x00007f80dede67b0, ), Py( 0x00007f80dede6870, ), Py( 0x00007f80dede68d0, ), Py( 0x00007f80dede6930, ), ], }, 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( 0x00007f80dedd62b0, ), path: LookupPath( [ S( "type", Py( 0x00007f80dedd4a20, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df4dbaf0, ), ), 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, values: [ Py( 0x00007f80df4dbaf0, ), ], }, expected_repr: "'file_mass'", name: "literal['file_mass']", }, ), validate_default: false, copy_default: false, name: "default[literal['file_mass']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007f80dee11b30, ), path: LookupPath( [ S( "updated_at", Py( 0x00007f80dee12cf0, ), ), ], ), }, name_py: Py( 0x00007f80de6cbd30, ), 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( 0x00007f80dedd5f80, ), path: LookupPath( [ S( "user_id", Py( 0x00007f80dedd62e0, ), ), ], ), }, name_py: Py( 0x00007f80df1d3630, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80dee11880, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "file_mass", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cbbbe90, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "file_mass", }, ), definitions=[], cache_strings=True)[source]
- __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: Optional[float] = None, 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]
- __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:`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `- Parameters:
include – Optional set or mapping specifying which fields to include in the copied model.
exclude – Optional set or mapping specifying which fields to exclude in the copied model.
update – Optional dictionary of field-value pairs to override field values in the copied model.
deep – If True, the values of fields that are Pydantic models will be deep-copied.
- Returns:
A copy of the model with included, excluded and updated fields as specified.
- 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_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding
ComputedFieldInfoobjects.
- 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.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy
Returns a copy of the model.
- model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- Parameters:
mode (
Union[Literal['json','python'],str]) – The mode in 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],Dict[int,Any],Dict[str,Any],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – A set of fields to exclude from the output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to use the field’s alias in the dictionary key if defined.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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/2.8/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- Parameters:
indent (
Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.include (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to exclude from the JSON output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to serialize using field aliases.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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=Union[float, NoneType], required=False, default=None), '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]
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 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[dict[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/2.8/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValueError – If
json_datais not a JSON string.
- classmethod model_validate_strings(obj, *, strict=None, context=None)[source]
Validate the given object with string data against the Pydantic model.
- 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.file_surface_area(**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_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', '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
- 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[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]- Returns:
A
pydantic-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]) – 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.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.async_api_call_output.file_surface_area'>, 'config': {'title': 'file_surface_area'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.async_api_call_output.file_surface_area'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.file_surface_area'>>]}, 'ref': 'kittycad.models.async_api_call_output.file_surface_area:93929001003712', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'completed_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'error': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'output_unit': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, '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 get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_area.UnitArea:93929000502784', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'src_format': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'FileImportFormat'>, 'members': [FileImportFormat.FBX, FileImportFormat.GLTF, FileImportFormat.OBJ, FileImportFormat.PLY, FileImportFormat.SLDPRT, FileImportFormat.STEP, FileImportFormat.STL], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_import_format.FileImportFormat:93928993693856', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'started_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:93929000223776', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'surface_area': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, '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': 'file_surface_area', 'schema': {'expected': ['file_surface_area'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'file_surface_area', 'type': 'model-fields'}, 'type': 'model'}[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 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] = {'AiFeedback': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ApiCallStatus': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Base64Data': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Dict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileExportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileImportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'InputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Optional': <pydantic._internal._model_construction._PydanticWeakRef object>, 'OutputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Point3d': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TextToCadModel': <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>, 'Uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved. Copyright (c) 2000 BeOpen.com. All Rights Reserved. Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved. Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits': Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands for supporting Python development. See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/async_api_call_output.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/async_api_call_output.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.async_api_call_output', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'datetime': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_center_of_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_conversion': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_volume': <pydantic._internal._model_construction._PydanticWeakRef object>}[source]
- __pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model( ModelSerializer { class: Py( 0x0000556d8cbd2ac0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "completed_at": SerField { key_py: Py( 0x00007f80de7ad8b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007f80de7ae7b0, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "surface_area": SerField { key_py: Py( 0x00007f80df19f830, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Float( FloatSerializer { inf_nan_mode: Null, }, ), }, ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df4db9f0, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "file_surface_area", }, expected_py: None, name: "literal['file_surface_area']", }, ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007f80de6cbd30, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007f80df1d3630, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007f80f1994fc0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007f80f1a39688, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "output_unit": SerField { key_py: Py( 0x00007f80dedc5eb0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb58600, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "src_format": SerField { key_py: Py( 0x00007f80def40cf0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8c4da0a0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007f80f1a3c3a8, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb14420, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007f80de6cbcf0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), 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: 12, }, ), has_extra: false, root_model: false, name: "file_surface_area", }, ), definitions=[])[source]
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="file_surface_area", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007f80de7c5ef0, ), path: LookupPath( [ S( "completed_at", Py( 0x00007f80de7c5eb0, ), ), ], ), }, name_py: Py( 0x00007f80de7ad8b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007f80de7c5f70, ), path: LookupPath( [ S( "created_at", Py( 0x00007f80de7c5f30, ), ), ], ), }, name_py: Py( 0x00007f80de7ae7b0, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007f80dede1260, ), path: LookupPath( [ S( "error", Py( 0x00007f80dede0e40, ), ), ], ), }, name_py: Py( 0x00007f80f1994fc0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007f80dede1140, ), path: LookupPath( [ S( "id", Py( 0x00007f80dede1110, ), ), ], ), }, name_py: Py( 0x00007f80f1a39688, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80de7c5e80, ), 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( 0x00007f80dee1ccb0, ), path: LookupPath( [ S( "output_unit", Py( 0x00007f80de7c5fb0, ), ), ], ), }, name_py: Py( 0x00007f80dedc5eb0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb58600, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "dm2": 1, "cm2": 0, "ft2": 2, "km2": 4, "in2": 3, "mm2": 6, "m2": 5, "yd2": 7, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80de79c470, ), Py( 0x00007f80de79c4d0, ), Py( 0x00007f80de79c530, ), Py( 0x00007f80de79c590, ), Py( 0x00007f80de79c5f0, ), Py( 0x00007f80de79c650, ), Py( 0x00007f80de79c6b0, ), Py( 0x00007f80de79c710, ), ], }, 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( 0x00007f80de7c5ff0, ), path: LookupPath( [ S( "src_format", Py( 0x00007f80de7c6030, ), ), ], ), }, name_py: Py( 0x00007f80def40cf0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8c4da0a0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "fbx": 0, "ply": 3, "gltf": 1, "sldprt": 4, "step": 5, "stl": 6, "obj": 2, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee796d0, ), Py( 0x00007f80dee79730, ), Py( 0x00007f80dee79790, ), Py( 0x00007f80dee797f0, ), Py( 0x00007f80dee79850, ), Py( 0x00007f80dee798b0, ), Py( 0x00007f80dee79910, ), ], }, 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( 0x00007f80de7c6070, ), path: LookupPath( [ S( "started_at", Py( 0x00007f80de7c60b0, ), ), ], ), }, name_py: Py( 0x00007f80de6cbcf0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007f80dede11a0, ), path: LookupPath( [ S( "status", Py( 0x00007f80dede0e10, ), ), ], ), }, name_py: Py( 0x00007f80f1a3c3a8, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb14420, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "queued": 0, "uploaded": 1, "in_progress": 2, "completed": 3, "failed": 4, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dede6750, ), Py( 0x00007f80dede67b0, ), Py( 0x00007f80dede6870, ), Py( 0x00007f80dede68d0, ), Py( 0x00007f80dede6930, ), ], }, 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( 0x00007f80de7c60f0, ), path: LookupPath( [ S( "surface_area", Py( 0x00007f80de7c6130, ), ), ], ), }, name_py: Py( 0x00007f80df19f830, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "type", lookup_key: Simple { key: "type", py_key: Py( 0x00007f80dede1080, ), path: LookupPath( [ S( "type", Py( 0x00007f80dede0d20, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df4db9f0, ), ), 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, values: [ Py( 0x00007f80df4db9f0, ), ], }, expected_repr: "'file_surface_area'", name: "literal['file_surface_area']", }, ), validate_default: false, copy_default: false, name: "default[literal['file_surface_area']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007f80de7c6170, ), path: LookupPath( [ S( "updated_at", Py( 0x00007f80de7c61b0, ), ), ], ), }, name_py: Py( 0x00007f80de6cbd30, ), 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( 0x00007f80dede0f30, ), path: LookupPath( [ S( "user_id", Py( 0x00007f80dede0ea0, ), ), ], ), }, name_py: Py( 0x00007f80df1d3630, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80de7c5e80, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "file_surface_area", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cbd2ac0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "file_surface_area", }, ), definitions=[], cache_strings=True)[source]
- __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]
- __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:`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `- Parameters:
include – Optional set or mapping specifying which fields to include in the copied model.
exclude – Optional set or mapping specifying which fields to exclude in the copied model.
update – Optional dictionary of field-value pairs to override field values in the copied model.
deep – If True, the values of fields that are Pydantic models will be deep-copied.
- Returns:
A copy of the model with included, excluded and updated fields as specified.
- 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_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding
ComputedFieldInfoobjects.
- 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.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy
Returns a copy of the model.
- model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- Parameters:
mode (
Union[Literal['json','python'],str]) – The mode in 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],Dict[int,Any],Dict[str,Any],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – A set of fields to exclude from the output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to use the field’s alias in the dictionary key if defined.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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/2.8/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- Parameters:
indent (
Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.include (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to exclude from the JSON output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to serialize using field aliases.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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]
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 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[dict[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/2.8/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValueError – If
json_datais not a JSON string.
- classmethod model_validate_strings(obj, *, strict=None, context=None)[source]
Validate the given object with string data against the Pydantic model.
- 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.file_volume(**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_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', '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
- 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[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]- Returns:
A
pydantic-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]) – 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.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.async_api_call_output.file_volume'>, 'config': {'title': 'file_volume'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.async_api_call_output.file_volume'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.file_volume'>>]}, 'ref': 'kittycad.models.async_api_call_output.file_volume:93929000936560', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'completed_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'error': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'output_unit': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, '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 get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_volume.UnitVolume:93929000520208', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'src_format': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'FileImportFormat'>, 'members': [FileImportFormat.FBX, FileImportFormat.GLTF, FileImportFormat.OBJ, FileImportFormat.PLY, FileImportFormat.SLDPRT, FileImportFormat.STEP, FileImportFormat.STL], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_import_format.FileImportFormat:93928993693856', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'started_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:93929000223776', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'file_volume', 'schema': {'expected': ['file_volume'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'volume': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'float'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'file_volume', 'type': 'model-fields'}, 'type': 'model'}[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 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] = {'AiFeedback': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ApiCallStatus': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Base64Data': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Dict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileExportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileImportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'InputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Optional': <pydantic._internal._model_construction._PydanticWeakRef object>, 'OutputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Point3d': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TextToCadModel': <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>, 'Uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved. Copyright (c) 2000 BeOpen.com. All Rights Reserved. Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved. Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits': Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands for supporting Python development. See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/async_api_call_output.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/async_api_call_output.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.async_api_call_output', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'datetime': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_center_of_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_conversion': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_mass': <pydantic._internal._model_construction._PydanticWeakRef object>}[source]
- __pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model( ModelSerializer { class: Py( 0x0000556d8cbc2470, ), serializer: Fields( GeneralFieldsSerializer { fields: { "created_at": SerField { key_py: Py( 0x00007f80de7ae7b0, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007f80f1994fc0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007f80de7ad8b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007f80de6cbcf0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "src_format": SerField { key_py: Py( 0x00007f80def40cf0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8c4da0a0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007f80f1a39688, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007f80f1a3c3a8, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb14420, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "output_unit": SerField { key_py: Py( 0x00007f80dedc5eb0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb5ca10, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df4db770, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "file_volume", }, expected_py: None, name: "literal['file_volume']", }, ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007f80de6cbd30, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007f80df1d3630, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "volume": SerField { key_py: Py( 0x00007f80f1a3ce50, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: 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: 12, }, ), has_extra: false, root_model: false, name: "file_volume", }, ), definitions=[])[source]
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="file_volume", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007f80de7dbb30, ), path: LookupPath( [ S( "completed_at", Py( 0x00007f80de7dbaf0, ), ), ], ), }, name_py: Py( 0x00007f80de7ad8b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007f80de7dbbb0, ), path: LookupPath( [ S( "created_at", Py( 0x00007f80de7dbb70, ), ), ], ), }, name_py: Py( 0x00007f80de7ae7b0, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007f80dedd7180, ), path: LookupPath( [ S( "error", Py( 0x00007f80dedd7210, ), ), ], ), }, name_py: Py( 0x00007f80f1994fc0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007f80dedd7240, ), path: LookupPath( [ S( "id", Py( 0x00007f80dedd6eb0, ), ), ], ), }, name_py: Py( 0x00007f80f1a39688, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80de7dbac0, ), 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( 0x00007f80de7dbbf0, ), path: LookupPath( [ S( "output_unit", Py( 0x00007f80de7dbc30, ), ), ], ), }, name_py: Py( 0x00007f80dedc5eb0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb5ca10, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "m3": 3, "cm3": 0, "usgal": 6, "usfloz": 5, "ml": 8, "l": 7, "ft3": 1, "yd3": 4, "in3": 2, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80de79ca70, ), Py( 0x00007f80de79cad0, ), Py( 0x00007f80de79cb30, ), Py( 0x00007f80de79cb90, ), Py( 0x00007f80de79cbf0, ), Py( 0x00007f80de79cc50, ), Py( 0x00007f80de79ccb0, ), Py( 0x00007f80de79cd10, ), Py( 0x00007f80de79cd70, ), ], }, 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( 0x00007f80de7dbc70, ), path: LookupPath( [ S( "src_format", Py( 0x00007f80de7dbcb0, ), ), ], ), }, name_py: Py( 0x00007f80def40cf0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8c4da0a0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "fbx": 0, "gltf": 1, "obj": 2, "ply": 3, "sldprt": 4, "step": 5, "stl": 6, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee796d0, ), Py( 0x00007f80dee79730, ), Py( 0x00007f80dee79790, ), Py( 0x00007f80dee797f0, ), Py( 0x00007f80dee79850, ), Py( 0x00007f80dee798b0, ), Py( 0x00007f80dee79910, ), ], }, 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( 0x00007f80de7dbcf0, ), path: LookupPath( [ S( "started_at", Py( 0x00007f80de7dbd30, ), ), ], ), }, name_py: Py( 0x00007f80de6cbcf0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007f80dedd7330, ), path: LookupPath( [ S( "status", Py( 0x00007f80dedd7300, ), ), ], ), }, name_py: Py( 0x00007f80f1a3c3a8, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb14420, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "uploaded": 1, "queued": 0, "completed": 3, "in_progress": 2, "failed": 4, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dede6750, ), Py( 0x00007f80dede67b0, ), Py( 0x00007f80dede6870, ), Py( 0x00007f80dede68d0, ), Py( 0x00007f80dede6930, ), ], }, 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( 0x00007f80dedd72d0, ), path: LookupPath( [ S( "type", Py( 0x00007f80dedd7030, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df4db770, ), ), 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, values: [ Py( 0x00007f80df4db770, ), ], }, expected_repr: "'file_volume'", name: "literal['file_volume']", }, ), validate_default: false, copy_default: false, name: "default[literal['file_volume']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007f80de7dbd70, ), path: LookupPath( [ S( "updated_at", Py( 0x00007f80de7dbdb0, ), ), ], ), }, name_py: Py( 0x00007f80de6cbd30, ), 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( 0x00007f80dedd7360, ), path: LookupPath( [ S( "user_id", Py( 0x00007f80dedd7390, ), ), ], ), }, name_py: Py( 0x00007f80df1d3630, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80de7dbac0, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "volume", lookup_key: Simple { key: "volume", py_key: Py( 0x00007f80dedd73c0, ), path: LookupPath( [ S( "volume", Py( 0x00007f80dedd73f0, ), ), ], ), }, name_py: Py( 0x00007f80f1a3ce50, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, ], model_name: "file_volume", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cbc2470, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "file_volume", }, ), definitions=[], cache_strings=True)[source]
- __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]
- __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:`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `- Parameters:
include – Optional set or mapping specifying which fields to include in the copied model.
exclude – Optional set or mapping specifying which fields to exclude in the copied model.
update – Optional dictionary of field-value pairs to override field values in the copied model.
deep – If True, the values of fields that are Pydantic models will be deep-copied.
- Returns:
A copy of the model with included, excluded and updated fields as specified.
- 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_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding
ComputedFieldInfoobjects.
- 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.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy
Returns a copy of the model.
- model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- Parameters:
mode (
Union[Literal['json','python'],str]) – The mode in 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],Dict[int,Any],Dict[str,Any],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – A set of fields to exclude from the output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to use the field’s alias in the dictionary key if defined.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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/2.8/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- Parameters:
indent (
Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.include (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to exclude from the JSON output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to serialize using field aliases.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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]
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 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[dict[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/2.8/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValueError – If
json_datais not a JSON string.
- classmethod model_validate_strings(obj, *, strict=None, context=None)[source]
Validate the given object with string data against the Pydantic model.
-
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.text_to_cad(**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_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'code': typing.Optional[str], 'completed_at': typing.Optional[datetime.datetime], 'created_at': <class 'datetime.datetime'>, 'error': typing.Optional[str], 'feedback': typing.Optional[kittycad.models.ai_feedback.AiFeedback], '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
- 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[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]- Returns:
A
pydantic-coreCoreSchema.
- classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]
Hook into generating the model’s JSON schema.
- Parameters:
core_schema (
Union[AnySchema,NoneSchema,BoolSchema,IntSchema,FloatSchema,DecimalSchema,StringSchema,BytesSchema,DateSchema,TimeSchema,DatetimeSchema,TimedeltaSchema,LiteralSchema,EnumSchema,IsInstanceSchema,IsSubclassSchema,CallableSchema,ListSchema,TupleSchema,SetSchema,FrozenSetSchema,GeneratorSchema,DictSchema,AfterValidatorFunctionSchema,BeforeValidatorFunctionSchema,WrapValidatorFunctionSchema,PlainValidatorFunctionSchema,WithDefaultSchema,NullableSchema,UnionSchema,TaggedUnionSchema,ChainSchema,LaxOrStrictSchema,JsonOrPythonSchema,TypedDictSchema,ModelFieldsSchema,ModelSchema,DataclassArgsSchema,DataclassSchema,ArgumentsSchema,CallSchema,CustomErrorSchema,JsonSchema,UrlSchema,MultiHostUrlSchema,DefinitionsSchema,DefinitionReferenceSchema,UuidSchema]) – 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.
- __pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.async_api_call_output.text_to_cad'>, 'config': {'title': 'text_to_cad'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.async_api_call_output.text_to_cad'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.async_api_call_output.text_to_cad'>>]}, 'ref': 'kittycad.models.async_api_call_output.text_to_cad:93929000692816', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'code': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'completed_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'created_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'error': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'feedback': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'cls': <enum 'AiFeedback'>, 'members': [AiFeedback.THUMBS_UP, AiFeedback.THUMBS_DOWN], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.ai_feedback.AiFeedback:93929004470624', 'sub_type': 'str', 'type': 'enum'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'model': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'TextToCadModel'>, 'members': [TextToCadModel.CAD, TextToCadModel.KCL], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.text_to_cad_model.TextToCadModel:93929000501792', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'model_version': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'output_format': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'FileExportFormat'>, 'members': [FileExportFormat.FBX, FileExportFormat.GLB, FileExportFormat.GLTF, FileExportFormat.OBJ, FileExportFormat.PLY, FileExportFormat.STEP, FileExportFormat.STL], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.file_export_format.FileExportFormat:93928999948848', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'outputs': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'keys_schema': {'type': 'str'}, 'strict': False, 'type': 'dict', 'values_schema': {'function': {'function': <class 'kittycad.models.base64data.Base64Data'>, 'type': 'no-info'}, 'schema': {'type': 'bytes'}, 'type': 'function-after'}}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'prompt': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'started_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'status': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'ApiCallStatus'>, 'members': [ApiCallStatus.QUEUED, ApiCallStatus.UPLOADED, ApiCallStatus.IN_PROGRESS, ApiCallStatus.COMPLETED, ApiCallStatus.FAILED], 'metadata': {'pydantic_js_functions': [<function get_enum_core_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:93929000223776', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 'text_to_cad', 'schema': {'expected': ['text_to_cad'], 'type': 'literal'}, 'type': 'default'}, 'type': 'model-field'}, 'updated_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of InnerSchemaValidator(core_schema={'type': 'datetime', 'microseconds_precision': 'truncate', 'metadata': {'pydantic_js_annotation_functions': [<bound method InnerSchemaValidator.__get_pydantic_json_schema__ of ...>]}}, js_schema=None, js_core_schema=None, js_schema_update=None)>]}, 'microseconds_precision': 'truncate', 'type': 'datetime'}, 'type': 'model-field'}, 'user_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}}, 'model_name': 'text_to_cad', 'type': 'model-fields'}, 'type': 'model'}[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 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] = {'AiFeedback': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Annotated': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ApiCallStatus': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Base64Data': <pydantic._internal._model_construction._PydanticWeakRef object>, 'BaseModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'ConfigDict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Dict': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Field': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileExportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'FileImportFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'InputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Literal': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Optional': <pydantic._internal._model_construction._PydanticWeakRef object>, 'OutputFormat': <pydantic._internal._model_construction._PydanticWeakRef object>, 'Point3d': <pydantic._internal._model_construction._PydanticWeakRef object>, 'RootModel': <pydantic._internal._model_construction._PydanticWeakRef object>, 'TextToCadModel': <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>, 'Uuid': <pydantic._internal._model_construction._PydanticWeakRef object>, '__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BaseExceptionGroup': <class 'BaseExceptionGroup'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EncodingWarning': <class 'EncodingWarning'>, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'ExceptionGroup': <class 'ExceptionGroup'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': "Built-in functions, types, exceptions, and other objects.\n\nThis module provides direct access to all 'built-in'\nidentifiers of Python; for example, builtins.len is\nthe full name for the built-in function len().\n\nThis module is not normally accessed explicitly by most\napplications, but can be useful in modules that provide\nobjects with the same name as a built-in value, but in\nwhich the built-in of that name is also needed.", '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>, origin='built-in'), 'abs': <built-in function abs>, 'aiter': <built-in function aiter>, 'all': <built-in function all>, 'anext': <built-in function anext>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'classmethod'>, 'compile': <built-in function compile>, 'complex': <class 'complex'>, 'copyright': Copyright (c) 2001-2023 Python Software Foundation. All Rights Reserved. Copyright (c) 2000 BeOpen.com. All Rights Reserved. Copyright (c) 1995-2001 Corporation for National Research Initiatives. All Rights Reserved. Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. All Rights Reserved., 'credits': Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands for supporting Python development. See www.python.org for more information., 'delattr': <built-in function delattr>, 'dict': <class 'dict'>, 'dir': <built-in function dir>, 'divmod': <built-in function divmod>, 'enumerate': <class 'enumerate'>, 'eval': <built-in function eval>, 'exec': <built-in function exec>, 'exit': Use exit() or Ctrl-D (i.e. EOF) to exit, 'filter': <class 'filter'>, 'float': <class 'float'>, 'format': <built-in function format>, 'frozenset': <class 'frozenset'>, 'getattr': <built-in function getattr>, 'globals': <built-in function globals>, 'hasattr': <built-in function hasattr>, 'hash': <built-in function hash>, 'help': Type help() for interactive help, or help(object) for help about object., 'hex': <built-in function hex>, 'id': <built-in function id>, 'input': <built-in function input>, 'int': <class 'int'>, 'isinstance': <built-in function isinstance>, 'issubclass': <built-in function issubclass>, 'iter': <built-in function iter>, 'len': <built-in function len>, 'license': Type license() to see the full license text, 'list': <class 'list'>, 'locals': <built-in function locals>, 'map': <class 'map'>, 'max': <built-in function max>, 'memoryview': <class 'memoryview'>, 'min': <built-in function min>, 'next': <built-in function next>, 'object': <class 'object'>, 'oct': <built-in function oct>, 'open': <built-in function open>, 'ord': <built-in function ord>, 'pow': <built-in function pow>, 'print': <built-in function print>, 'property': <class 'property'>, 'quit': Use quit() or Ctrl-D (i.e. EOF) to exit, 'range': <class 'range'>, 'repr': <built-in function repr>, 'reversed': <class 'reversed'>, 'round': <built-in function round>, 'set': <class 'set'>, 'setattr': <built-in function setattr>, 'slice': <class 'slice'>, 'sorted': <built-in function sorted>, 'staticmethod': <class 'staticmethod'>, 'str': <class 'str'>, 'sum': <built-in function sum>, 'super': <class 'super'>, 'tuple': <class 'tuple'>, 'type': <class 'type'>, 'vars': <built-in function vars>, 'zip': <class 'zip'>}, '__cached__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/__pycache__/async_api_call_output.cpython-312.pyc', '__doc__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__file__': '/home/runner/work/kittycad.py/kittycad.py/kittycad/models/async_api_call_output.py', '__loader__': <pydantic._internal._model_construction._PydanticWeakRef object>, '__name__': 'kittycad.models.async_api_call_output', '__package__': 'kittycad.models', '__spec__': <pydantic._internal._model_construction._PydanticWeakRef object>, 'datetime': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_center_of_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_conversion': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_density': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_mass': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_surface_area': <pydantic._internal._model_construction._PydanticWeakRef object>, 'file_volume': <pydantic._internal._model_construction._PydanticWeakRef object>}[source]
- __pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model( ModelSerializer { class: Py( 0x0000556d8cb86c50, ), serializer: Fields( GeneralFieldsSerializer { fields: { "type": SerField { key_py: Py( 0x00007f80f1a3cbf8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80df19f730, ), ), serializer: Literal( LiteralSerializer { expected_int: {}, expected_str: { "text_to_cad", }, expected_py: None, name: "literal['text_to_cad']", }, ), }, ), ), required: true, }, "prompt": SerField { key_py: Py( 0x00007f80f19b09c0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007f80de6cbcf0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "model_version": SerField { key_py: Py( 0x00007f80de7aeb30, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "feedback": SerField { key_py: Py( 0x00007f80de7aeab0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Enum( EnumSerializer { class: Py( 0x0000556d8cf21160, ), serializer: Some( Str( StrSerializer, ), ), }, ), }, ), }, ), ), required: true, }, "output_format": SerField { key_py: Py( 0x00007f80df19b330, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cad1230, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007f80de6cbd30, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007f80f1994fc0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007f80de7ae7b0, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "outputs": SerField { key_py: Py( 0x00007f80ecb389f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Dict( DictSerializer { key_serializer: Str( StrSerializer, ), value_serializer: Bytes( BytesSerializer { bytes_mode: Utf8, }, ), filter: SchemaFilter { include: None, exclude: None, }, name: "dict[str, bytes]", }, ), }, ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007f80f1a39688, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "model": SerField { key_py: Py( 0x00007f80e1cba5b0, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb58220, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007f80f1a3c3a8, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000556d8cb14420, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007f80de7ad8b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "code": SerField { key_py: Py( 0x00007f80f1a37f50, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f80f1947100, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007f80df1d3630, ), 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: "text_to_cad", }, ), definitions=[])[source]
- __pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="text_to_cad", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "code", lookup_key: Simple { key: "code", py_key: Py( 0x00007f80dedd7f60, ), path: LookupPath( [ S( "code", Py( 0x00007f80dede23a0, ), ), ], ), }, name_py: Py( 0x00007f80f1a37f50, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007f80df4701b0, ), path: LookupPath( [ S( "completed_at", Py( 0x00007f80def3f1f0, ), ), ], ), }, name_py: Py( 0x00007f80de7ad8b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007f80de7dad30, ), path: LookupPath( [ S( "created_at", Py( 0x00007f80de7c6930, ), ), ], ), }, name_py: Py( 0x00007f80de7ae7b0, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007f80dede2100, ), path: LookupPath( [ S( "error", Py( 0x00007f80dede2190, ), ), ], ), }, name_py: Py( 0x00007f80f1994fc0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "feedback", lookup_key: Simple { key: "feedback", py_key: Py( 0x00007f80de7c7170, ), path: LookupPath( [ S( "feedback", Py( 0x00007f80de7c7030, ), ), ], ), }, name_py: Py( 0x00007f80de7aeab0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cf21160, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "thumbs_up": 0, "thumbs_down": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dede6270, ), Py( 0x00007f80dede62d0, ), ], }, missing: None, expected_repr: "'thumbs_up' or 'thumbs_down'", strict: false, class_repr: "AiFeedback", name: "str-enum[AiFeedback]", }, ), name: "nullable[str-enum[AiFeedback]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[str-enum[AiFeedback]]]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007f80dede21c0, ), path: LookupPath( [ S( "id", Py( 0x00007f80dede19e0, ), ), ], ), }, name_py: Py( 0x00007f80f1a39688, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80de7643c0, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "model", lookup_key: Simple { key: "model", py_key: Py( 0x00007f80dede1ec0, ), path: LookupPath( [ S( "model", Py( 0x00007f80dede1830, ), ), ], ), }, name_py: Py( 0x00007f80e1cba5b0, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb58220, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "cad": 0, "kcl": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee7abd0, ), Py( 0x00007f80de79c3b0, ), ], }, missing: None, expected_repr: "'cad' or 'kcl'", strict: false, class_repr: "TextToCadModel", name: "str-enum[TextToCadModel]", }, ), frozen: false, }, Field { name: "model_version", lookup_key: Simple { key: "model_version", py_key: Py( 0x00007f80de7c70b0, ), path: LookupPath( [ S( "model_version", Py( 0x00007f80de7c6fb0, ), ), ], ), }, name_py: Py( 0x00007f80de7aeb30, ), 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( 0x00007f80de7c5070, ), path: LookupPath( [ S( "output_format", Py( 0x00007f80de7c51b0, ), ), ], ), }, name_py: Py( 0x00007f80df19b330, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cad1230, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "obj": 3, "ply": 4, "stl": 6, "fbx": 0, "step": 5, "glb": 1, "gltf": 2, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dee793d0, ), Py( 0x00007f80dee79430, ), Py( 0x00007f80dee79490, ), Py( 0x00007f80dee794f0, ), Py( 0x00007f80dee79550, ), Py( 0x00007f80dee795b0, ), Py( 0x00007f80dee79610, ), ], }, 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( 0x00007f80dede1890, ), path: LookupPath( [ S( "outputs", Py( 0x00007f80dede1860, ), ), ], ), }, name_py: Py( 0x00007f80ecb389f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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: Bytes( BytesValidator { strict: false, }, ), func: Py( 0x0000556d8cb5b0d0, ), config: Py( 0x00007f80de7643c0, ), name: "function-after[Base64Data(), bytes]", field_name: None, info_arg: false, }, ), min_length: None, max_length: None, name: "dict[str,function-after[Base64Data(), bytes]]", }, ), name: "nullable[dict[str,function-after[Base64Data(), bytes]]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[dict[str,function-after[Base64Data(), bytes]]]]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "prompt", lookup_key: Simple { key: "prompt", py_key: Py( 0x00007f80dede19b0, ), path: LookupPath( [ S( "prompt", Py( 0x00007f80dede1980, ), ), ], ), }, name_py: Py( 0x00007f80f19b09c0, ), 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( 0x00007f80de7c5130, ), path: LookupPath( [ S( "started_at", Py( 0x00007f80de7c4f70, ), ), ], ), }, name_py: Py( 0x00007f80de6cbcf0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80f1947100, ), ), 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( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "status", lookup_key: Simple { key: "status", py_key: Py( 0x00007f80dede1920, ), path: LookupPath( [ S( "status", Py( 0x00007f80dede18f0, ), ), ], ), }, name_py: Py( 0x00007f80f1a3c3a8, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000556d8cb14420, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "completed": 3, "uploaded": 1, "queued": 0, "failed": 4, "in_progress": 2, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f80dede6750, ), Py( 0x00007f80dede67b0, ), Py( 0x00007f80dede6870, ), Py( 0x00007f80dede68d0, ), Py( 0x00007f80dede6930, ), ], }, 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( 0x00007f80dede1950, ), path: LookupPath( [ S( "type", Py( 0x00007f80dede0c00, ), ), ], ), }, name_py: Py( 0x00007f80f1a3cbf8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f80df19f730, ), ), 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, values: [ Py( 0x00007f80df19f730, ), ], }, expected_repr: "'text_to_cad'", name: "literal['text_to_cad']", }, ), validate_default: false, copy_default: false, name: "default[literal['text_to_cad']]", undefined: Py( 0x00007f80e0935e70, ), }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007f80de7c4970, ), path: LookupPath( [ S( "updated_at", Py( 0x00007f80de7c4ff0, ), ), ], ), }, name_py: Py( 0x00007f80de6cbd30, ), 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( 0x00007f80dede0db0, ), path: LookupPath( [ S( "user_id", Py( 0x00007f80dede11d0, ), ), ], ), }, name_py: Py( 0x00007f80df1d3630, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x0000556d8c613960, ), config: Py( 0x00007f80de7643c0, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "text_to_cad", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000556d8cb86c50, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f80e0935e70, ), name: "text_to_cad", }, ), definitions=[], cache_strings=True)[source]
- __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.ai_feedback.AiFeedback] = 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]
- __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:`py data = self.model_dump(include=include, exclude=exclude, round_trip=True) data = {**data, **(update or {})} copied = self.model_validate(data) `- Parameters:
include – Optional set or mapping specifying which fields to include in the copied model.
exclude – Optional set or mapping specifying which fields to exclude in the copied model.
update – Optional dictionary of field-value pairs to override field values in the copied model.
deep – If True, the values of fields that are Pydantic models will be deep-copied.
- Returns:
A copy of the model with included, excluded and updated fields as specified.
- dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)[source]
-
feedback:
Optional[AiFeedback][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_computed_fields: ClassVar[dict[str, ComputedFieldInfo]] = {}[source]
A dictionary of computed field names and their corresponding
ComputedFieldInfoobjects.
- 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.
- model_copy(*, update=None, deep=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#model_copy
Returns a copy of the model.
- model_dump(*, mode='python', include=None, exclude=None, context=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False, round_trip=False, warnings=True, serialize_as_any=False)[source]
Usage docs: https://docs.pydantic.dev/2.8/concepts/serialization/#modelmodel_dump
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- Parameters:
mode (
Union[Literal['json','python'],str]) – The mode in 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],Dict[int,Any],Dict[str,Any],None]) – A set of fields to include in the output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – A set of fields to exclude from the output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to use the field’s alias in the dictionary key if defined.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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/2.8/concepts/serialization/#modelmodel_dump_json
Generates a JSON representation of the model using Pydantic’s
to_jsonmethod.- Parameters:
indent (
Optional[int]) – Indentation to use in the JSON output. If None is passed, the output will be compact.include (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to include in the JSON output.exclude (
Union[Set[int],Set[str],Dict[int,Any],Dict[str,Any],None]) – Field(s) to exclude from the JSON output.context (
Optional[Any]) – Additional context to pass to the serializer.by_alias (
bool) – Whether to serialize using field aliases.exclude_unset (
bool) – Whether to exclude fields that have not been explicitly set.exclude_defaults (
bool) – Whether to exclude fields that are set to their default value.exclude_none (
bool) – Whether to exclude fields that have a value 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[AiFeedback, 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]
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 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[dict[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/2.8/concepts/json/#json-parsing
Validate the given JSON data against the Pydantic model.
- Parameters:
- Return type:
Self- Returns:
The validated Pydantic model.
- Raises:
ValueError – If
json_datais not a JSON string.
- classmethod model_validate_strings(obj, *, strict=None, context=None)[source]
Validate the given object with string data against the Pydantic model.
-
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]