kittycad.models.unit_frequency_conversion

Classes

UnitFrequencyConversion(**data)

Result of converting between units.

class kittycad.models.unit_frequency_conversion.UnitFrequencyConversion(**data)

Result of converting between units.

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

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

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

__abstractmethods__ = frozenset({})

__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'>, 'input': <class 'float'>, 'input_unit': <enum 'UnitFrequency'>, 'model_computed_fields': 'ClassVar[Dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[Dict[str, FieldInfo]]', 'output': typing.Optional[float], 'output_unit': <enum 'UnitFrequency'>, 'started_at': typing.Optional[datetime.datetime], 'status': <enum 'ApiCallStatus'>, 'updated_at': <class 'datetime.datetime'>, 'user_id': <class 'kittycad.models.uuid.Uuid'>}

classmethod __class_getitem__(typevar_values)

Return type:

type[BaseModel] | PydanticRecursiveRef

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

The names of the class variables defined on the model.

__copy__()

Returns a shallow copy of the model.

Return type:

Self

__deepcopy__(memo=None)

Returns a deep copy of the model.

Return type:

Self

__delattr__(item)

Implement delattr(self, name).

Return type:

Any

__dict__

__eq__(other)

Return self==value.

Return type:

bool

property __fields_set__: set[str]

classmethod __get_pydantic_core_schema__(source, handler, /)

Hook into generating the model’s CoreSchema.

Parameters:

• source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.

• handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

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

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)

Hook into generating the model’s JSON schema.

Parameters:

• core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema, ComplexSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.

• handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)

Return type:

Any

__getstate__()

Helper for pickle.

Return type:

dict[Any, Any]

__hash__ = None

__init__(**data)

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

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

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

__iter__()

So dict(model) works.

Return type:

Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.unit_frequency_conversion'

__pretty__(fmt, **kwargs)

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

Return type:

Generator[Any, None, None]

__private_attributes__: ClassVar[Dict[str, ModelPrivateAttr]] = {}

Metadata about the private attributes of the model.

__pydantic_complete__: ClassVar[bool] = True

Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__: ClassVar[CoreSchema] = {'definitions': [{'cls': <enum 'UnitFrequency'>, 'members': [UnitFrequency.GIGAHERTZ, UnitFrequency.HERTZ, UnitFrequency.KILOHERTZ, UnitFrequency.MEGAHERTZ, UnitFrequency.MICROHERTZ, UnitFrequency.MILLIHERTZ, UnitFrequency.NANOHERTZ, UnitFrequency.TERAHERTZ], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.unit_frequency.UnitFrequency:94467879715136', 'sub_type': 'str', 'type': 'enum'}], 'schema': {'cls': <class 'kittycad.models.unit_frequency_conversion.UnitFrequencyConversion'>, 'config': {'title': 'UnitFrequencyConversion'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.unit_frequency_conversion.UnitFrequencyConversion'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.unit_frequency_conversion.UnitFrequencyConversion'>>]}, 'ref': 'kittycad.models.unit_frequency_conversion.UnitFrequencyConversion:94467879718320', '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': {'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': {'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'}, 'input': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0.0, 'schema': {'type': 'float'}, 'type': 'default'}, 'type': 'model-field'}, 'input_unit': {'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_frequency.UnitFrequency:94467879715136', 'type': 'definition-ref'}, 'type': 'model-field'}, 'output': {'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'}, 'output_unit': {'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_frequency.UnitFrequency:94467879715136', 'type': 'definition-ref'}, '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': {'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 GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.api_call_status.ApiCallStatus:94467862339920', 'sub_type': 'str', 'type': 'enum'}, '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': {'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': 'UnitFrequencyConversion', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}

The core schema of the model.

__pydantic_custom_init__: ClassVar[bool] = False

Whether the model has a custom __init__ method.

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

Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_extra__: dict[str, Any] | None

A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.

__pydantic_fields_set__: set[str]

The names of fields explicitly set during instantiation.

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

Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

classmethod __pydantic_init_subclass__(**kwargs)

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

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

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

Parameters:

**kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.

Return type:

None

__pydantic_parent_namespace__: ClassVar[Dict[str, Any] | None] = None

Parent namespace of the model, used for automatic rebuilding of models.

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

The name of the post-init method for the model, if defined.

__pydantic_private__: dict[str, Any] | None

Values of private attributes set on the model instance.

__pydantic_root_model__: ClassVar[bool] = False

Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model(     ModelSerializer {         class: Py(             0x000055eb0469cdb0,         ),         serializer: Fields(             GeneralFieldsSerializer {                 fields: {                     "status": SerField {                         key_py: Py(                             0x00007fa14fa3bd50,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Enum(                                 EnumSerializer {                                     class: Py(                                         0x000055eb0360a150,                                     ),                                     serializer: Some(                                         Str(                                             StrSerializer,                                         ),                                     ),                                 },                             ),                         ),                         required: true,                     },                     "created_at": SerField {                         key_py: Py(                             0x00007fa14b1c7eb0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Datetime(                                 DatetimeSerializer,                             ),                         ),                         required: true,                     },                     "completed_at": SerField {                         key_py: Py(                             0x00007fa14b1c7ef0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007fa14f947100,                                         ),                                     ),                                     serializer: Nullable(                                         NullableSerializer {                                             serializer: Datetime(                                                 DatetimeSerializer,                                             ),                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "error": SerField {                         key_py: Py(                             0x00007fa14f995000,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007fa14f947100,                                         ),                                     ),                                     serializer: Nullable(                                         NullableSerializer {                                             serializer: Str(                                                 StrSerializer,                                             ),                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "input": SerField {                         key_py: Py(                             0x00007fa14fa39430,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007fa14a671e70,                                         ),                                     ),                                     serializer: Float(                                         FloatSerializer {                                             inf_nan_mode: Null,                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "input_unit": SerField {                         key_py: Py(                             0x00007fa14a946df0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Recursive(                                 DefinitionRefSerializer {                                     definition: "...",                                     retry_with_lax_check: false,                                 },                             ),                         ),                         required: true,                     },                     "started_at": SerField {                         key_py: Py(                             0x00007fa14b1b5cb0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007fa14f947100,                                         ),                                     ),                                     serializer: Nullable(                                         NullableSerializer {                                             serializer: Datetime(                                                 DatetimeSerializer,                                             ),                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "output_unit": SerField {                         key_py: Py(                             0x00007fa14bb4f470,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Recursive(                                 DefinitionRefSerializer {                                     definition: "...",                                     retry_with_lax_check: false,                                 },                             ),                         ),                         required: true,                     },                     "output": SerField {                         key_py: Py(                             0x00007fa14f9cfc60,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             WithDefault(                                 WithDefaultSerializer {                                     default: Default(                                         Py(                                             0x00007fa14f947100,                                         ),                                     ),                                     serializer: Nullable(                                         NullableSerializer {                                             serializer: Float(                                                 FloatSerializer {                                                     inf_nan_mode: Null,                                                 },                                             ),                                         },                                     ),                                 },                             ),                         ),                         required: true,                     },                     "updated_at": SerField {                         key_py: Py(                             0x00007fa14b1b5bf0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Datetime(                                 DatetimeSerializer,                             ),                         ),                         required: true,                     },                     "user_id": SerField {                         key_py: Py(                             0x00007fa14bd6c840,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Str(                                 StrSerializer,                             ),                         ),                         required: true,                     },                     "id": SerField {                         key_py: Py(                             0x00007fa14fa390f0,                         ),                         alias: None,                         alias_py: None,                         serializer: Some(                             Str(                                 StrSerializer,                             ),                         ),                         required: true,                     },                 },                 computed_fields: Some(                     ComputedFields(                         [],                     ),                 ),                 mode: SimpleDict,                 extra_serializer: None,                 filter: SchemaFilter {                     include: None,                     exclude: None,                 },                 required_fields: 12,             },         ),         has_extra: false,         root_model: false,         name: "UnitFrequencyConversion",     }, ), definitions=[Enum(EnumSerializer { class: Py(0x55eb0469c140), serializer: Some(Str(StrSerializer)) })])

The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="UnitFrequencyConversion", validator=Model(     ModelValidator {         revalidate: Never,         validator: ModelFields(             ModelFieldsValidator {                 fields: [                     Field {                         name: "completed_at",                         lookup_key: Simple {                             key: "completed_at",                             py_key: Py(                                 0x00007fa14a5e6db0,                             ),                             path: LookupPath(                                 [                                     S(                                         "completed_at",                                         Py(                                             0x00007fa14a59f6b0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007fa14b1c7ef0,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007fa14f947100,                                     ),                                 ),                                 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(                                     0x00007fa14d802350,                                 ),                             },                         ),                         frozen: false,                     },                     Field {                         name: "created_at",                         lookup_key: Simple {                             key: "created_at",                             py_key: Py(                                 0x00007fa14ac02ef0,                             ),                             path: LookupPath(                                 [                                     S(                                         "created_at",                                         Py(                                             0x00007fa14ac02e30,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007fa14b1c7eb0,                         ),                         validator: Datetime(                             DateTimeValidator {                                 strict: false,                                 constraints: None,                                 microseconds_precision: Truncate,                             },                         ),                         frozen: false,                     },                     Field {                         name: "error",                         lookup_key: Simple {                             key: "error",                             py_key: Py(                                 0x00007fa14adc60d0,                             ),                             path: LookupPath(                                 [                                     S(                                         "error",                                         Py(                                             0x00007fa14adc4960,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007fa14f995000,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007fa14f947100,                                     ),                                 ),                                 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(                                     0x00007fa14d802350,                                 ),                             },                         ),                         frozen: false,                     },                     Field {                         name: "id",                         lookup_key: Simple {                             key: "id",                             py_key: Py(                                 0x00007fa14adc45a0,                             ),                             path: LookupPath(                                 [                                     S(                                         "id",                                         Py(                                             0x00007fa14bb23630,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007fa14fa390f0,                         ),                         validator: FunctionAfter(                             FunctionAfterValidator {                                 validator: Str(                                     StrValidator {                                         strict: false,                                         coerce_numbers_to_str: false,                                     },                                 ),                                 func: Py(                                     0x000055eb03511b80,                                 ),                                 config: Py(                                     0x00007fa14ac03080,                                 ),                                 name: "function-after[Uuid(), str]",                                 field_name: None,                                 info_arg: false,                             },                         ),                         frozen: false,                     },                     Field {                         name: "input",                         lookup_key: Simple {                             key: "input",                             py_key: Py(                                 0x00007fa14ad57090,                             ),                             path: LookupPath(                                 [                                     S(                                         "input",                                         Py(                                             0x00007fa14ad55020,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007fa14fa39430,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007fa14a671e70,                                     ),                                 ),                                 on_error: Raise,                                 validator: Float(                                     FloatValidator {                                         strict: false,                                         allow_inf_nan: true,                                     },                                 ),                                 validate_default: false,                                 copy_default: false,                                 name: "default[float]",                                 undefined: Py(                                     0x00007fa14d802350,                                 ),                             },                         ),                         frozen: false,                     },                     Field {                         name: "input_unit",                         lookup_key: Simple {                             key: "input_unit",                             py_key: Py(                                 0x00007fa14ac02eb0,                             ),                             path: LookupPath(                                 [                                     S(                                         "input_unit",                                         Py(                                             0x00007fa14ac02e70,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007fa14a946df0,                         ),                         validator: DefinitionRef(                             DefinitionRefValidator {                                 definition: "...",                             },                         ),                         frozen: false,                     },                     Field {                         name: "output",                         lookup_key: Simple {                             key: "output",                             py_key: Py(                                 0x00007fa14ad56490,                             ),                             path: LookupPath(                                 [                                     S(                                         "output",                                         Py(                                             0x00007fa14ad55590,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007fa14f9cfc60,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007fa14f947100,                                     ),                                 ),                                 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(                                     0x00007fa14d802350,                                 ),                             },                         ),                         frozen: false,                     },                     Field {                         name: "output_unit",                         lookup_key: Simple {                             key: "output_unit",                             py_key: Py(                                 0x00007fa14ac02df0,                             ),                             path: LookupPath(                                 [                                     S(                                         "output_unit",                                         Py(                                             0x00007fa14ac02db0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007fa14bb4f470,                         ),                         validator: DefinitionRef(                             DefinitionRefValidator {                                 definition: "...",                             },                         ),                         frozen: false,                     },                     Field {                         name: "started_at",                         lookup_key: Simple {                             key: "started_at",                             py_key: Py(                                 0x00007fa14ac02d30,                             ),                             path: LookupPath(                                 [                                     S(                                         "started_at",                                         Py(                                             0x00007fa14ac02d70,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007fa14b1b5cb0,                         ),                         validator: WithDefault(                             WithDefaultValidator {                                 default: Default(                                     Py(                                         0x00007fa14f947100,                                     ),                                 ),                                 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(                                     0x00007fa14d802350,                                 ),                             },                         ),                         frozen: false,                     },                     Field {                         name: "status",                         lookup_key: Simple {                             key: "status",                             py_key: Py(                                 0x00007fa14ad57930,                             ),                             path: LookupPath(                                 [                                     S(                                         "status",                                         Py(                                             0x00007fa14ad57a50,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007fa14fa3bd50,                         ),                         validator: StrEnum(                             EnumValidator {                                 phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>,                                 class: Py(                                     0x000055eb0360a150,                                 ),                                 lookup: LiteralLookup {                                     expected_bool: None,                                     expected_int: None,                                     expected_str: Some(                                         {                                             "completed": 3,                                             "failed": 4,                                             "uploaded": 1,                                             "queued": 0,                                             "in_progress": 2,                                         },                                     ),                                     expected_py_dict: None,                                     expected_py_values: None,                                     values: [                                         Py(                                             0x00007fa14b362a50,                                         ),                                         Py(                                             0x00007fa14b362ab0,                                         ),                                         Py(                                             0x00007fa14b362b70,                                         ),                                         Py(                                             0x00007fa14b362bd0,                                         ),                                         Py(                                             0x00007fa14b362c30,                                         ),                                     ],                                 },                                 missing: None,                                 expected_repr: "'queued', 'uploaded', 'in_progress', 'completed' or 'failed'",                                 strict: false,                                 class_repr: "ApiCallStatus",                                 name: "str-enum[ApiCallStatus]",                             },                         ),                         frozen: false,                     },                     Field {                         name: "updated_at",                         lookup_key: Simple {                             key: "updated_at",                             py_key: Py(                                 0x00007fa14ac02cf0,                             ),                             path: LookupPath(                                 [                                     S(                                         "updated_at",                                         Py(                                             0x00007fa14ac02cb0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007fa14b1b5bf0,                         ),                         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(                                 0x00007fa14ad574b0,                             ),                             path: LookupPath(                                 [                                     S(                                         "user_id",                                         Py(                                             0x00007fa14ad563d0,                                         ),                                     ),                                 ],                             ),                         },                         name_py: Py(                             0x00007fa14bd6c840,                         ),                         validator: FunctionAfter(                             FunctionAfterValidator {                                 validator: Str(                                     StrValidator {                                         strict: false,                                         coerce_numbers_to_str: false,                                     },                                 ),                                 func: Py(                                     0x000055eb03511b80,                                 ),                                 config: Py(                                     0x00007fa14ac03080,                                 ),                                 name: "function-after[Uuid(), str]",                                 field_name: None,                                 info_arg: false,                             },                         ),                         frozen: false,                     },                 ],                 model_name: "UnitFrequencyConversion",                 extra_behavior: Ignore,                 extras_validator: None,                 strict: false,                 from_attributes: false,                 loc_by_alias: true,             },         ),         class: Py(             0x000055eb0469cdb0,         ),         post_init: None,         frozen: false,         custom_init: false,         root_model: false,         undefined: Py(             0x00007fa14d802350,         ),         name: "UnitFrequencyConversion",     }, ), definitions=[StrEnum(EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py(0x55eb0469c140), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some({"nanohertz": 6, "microhertz": 4, "terahertz": 7, "megahertz": 3, "gigahertz": 0, "kilohertz": 2, "millihertz": 5, "hertz": 1}), expected_py_dict: None, expected_py_values: None, values: [Py(0x7fa14a6762d0), Py(0x7fa14a676330), Py(0x7fa14a676390), Py(0x7fa14a6763f0), Py(0x7fa14a676450), Py(0x7fa14a6764b0), Py(0x7fa14a676510), Py(0x7fa14a676570)] }, missing: None, expected_repr: "'gigahertz', 'hertz', 'kilohertz', 'megahertz', 'microhertz', 'millihertz', 'nanohertz' or 'terahertz'", strict: false, class_repr: "UnitFrequency", name: "str-enum[UnitFrequency]" })], cache_strings=True)

The pydantic-core SchemaValidator used to validate instances of the model.

__repr__()

Return repr(self).

Return type:

str

__repr_args__()

Return type:

Iterable[tuple[str | None, Any]]

__repr_name__()

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

Return type:

str

__repr_str__(join_str)

Return type:

str

__rich_repr__()

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

Return type:

Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)

Implement setattr(self, name, value).

Return type:

None

__setstate__(state)

Return type:

None

__signature__: ClassVar[Signature] = <Signature (*, completed_at: Optional[datetime.datetime] = None, created_at: datetime.datetime, error: Optional[str] = None, id: kittycad.models.uuid.Uuid, input: float = 0.0, input_unit: kittycad.models.unit_frequency.UnitFrequency, output: Optional[float] = None, output_unit: kittycad.models.unit_frequency.UnitFrequency, started_at: Optional[datetime.datetime] = None, status: kittycad.models.api_call_status.ApiCallStatus, updated_at: datetime.datetime, user_id: kittycad.models.uuid.Uuid) -> None>

The synthesized __init__ [Signature][inspect.Signature] of the model.

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')

__str__()

Return str(self).

Return type:

str

_abc_impl = <_abc._abc_data object>

_calculate_keys(*args, **kwargs)

Return type:

Any

_check_frozen(name, value)

Return type:

None

_copy_and_set_values(*args, **kwargs)

Return type:

Any

classmethod _get_value(*args, **kwargs)

Return type:

Any

_iter(*args, **kwargs)

Return type:

Any

completed_at: Optional[datetime]

classmethod construct(_fields_set=None, **values)

Return type:

Self

copy(*, include=None, exclude=None, update=None, deep=False)

Returns a copy of the model.

!!! warning “Deprecated”

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

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

Parameters:

• include – Optional set or mapping specifying which fields to include in the copied model.

• exclude – Optional set or mapping specifying which fields to exclude in the copied model.

• update – Optional dictionary of field-value pairs to override field values in the copied model.

• deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

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

created_at: datetime

dict(*, include=None, exclude=None, by_alias=False, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Return type:

Dict[str, Any]

error: Optional[str]

classmethod from_orm(obj)

Return type:

Self

id: Uuid

input: float

input_unit: UnitFrequency

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)

Return type:

str

model_computed_fields: ClassVar[Dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)

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

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

!!! note

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

Parameters:

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

• values (Any) – Trusted or pre-validated data dictionary.

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)

Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

• update (dict[str, Any] | None) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.

• deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

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

Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump

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

Parameters:

• mode (Union[Literal['json', 'python'], str]) – The mode in which to_python should run. If mode is ‘json’, the output will only contain JSON serializable types. If mode is ‘python’, the output may contain non-JSON-serializable Python objects.

• include (Union[Set[int], Set[str], Mapping[int, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], Mapping[str, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], None]) – A set of fields to include in the output.

• exclude (Union[Set[int], Set[str], Mapping[int, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], Mapping[str, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], None]) – A set of fields to exclude from the output.

• context (Any | None) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to use the field’s alias in the dictionary key if defined.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

dict[str, Any]

Returns:

A dictionary representation of the model.

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

Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump_json

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

Parameters:

• indent (int | None) – Indentation to use in the JSON output. If None is passed, the output will be compact.

• include (Union[Set[int], Set[str], Mapping[int, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], Mapping[str, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], None]) – Field(s) to include in the JSON output.

• exclude (Union[Set[int], Set[str], Mapping[int, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], Mapping[str, Union[Set[int], Set[str], Mapping[int, Union[IncEx, Literal[True]]], Mapping[str, Union[IncEx, Literal[True]]], Literal[True]]], None]) – Field(s) to exclude from the JSON output.

• context (Any | None) – Additional context to pass to the serializer.

• by_alias (bool) – Whether to serialize using field aliases.

• exclude_unset (bool) – Whether to exclude fields that have not been explicitly set.

• exclude_defaults (bool) – Whether to exclude fields that are set to their default value.

• exclude_none (bool) – Whether to exclude fields that have a value of None.

• round_trip (bool) – If True, dumped values should be valid as input for non-idempotent types such as Json[T].

• warnings (Union[bool, Literal['none', 'warn', 'error']]) – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].

• serialize_as_any (bool) – Whether to serialize fields with duck-typing serialization behavior.

Return type:

str

Returns:

A JSON string representation of the model.

property model_extra: dict[str, Any] | None

Get extra fields set during validation.

Returns:

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

model_fields: ClassVar[Dict[str, FieldInfo]] = {'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), 'input': FieldInfo(annotation=float, required=False, default=0.0), 'input_unit': FieldInfo(annotation=UnitFrequency, required=True), 'output': FieldInfo(annotation=Union[float, NoneType], required=False, default=None), 'output_unit': FieldInfo(annotation=UnitFrequency, required=True), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status': FieldInfo(annotation=ApiCallStatus, required=True), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_id': FieldInfo(annotation=Uuid, required=True)}

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

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str]

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')

Generates a JSON schema for a model class.

Parameters:

• by_alias (bool) – Whether to use attribute aliases or not.

• ref_template (str) – The reference template.

• schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications

• mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)

Compute the class name for parametrizations of generic classes.

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

Parameters:

params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.

Return type:

str

Returns:

String representing the new class where params are passed to cls as type variables.

Raises:

TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)

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

Return type:

None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)

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

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

Parameters:

• force (bool) – Whether to force the rebuilding of the model schema, defaults to False.

• raise_errors (bool) – Whether to raise errors, defaults to True.

• _parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.

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

Return type:

bool | None

Returns:

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

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)

Validate a pydantic model instance.

Parameters:

• obj (Any) – The object to validate.

• strict (bool | None) – Whether to enforce types strictly.

• from_attributes (bool | None) – Whether to extract data from object attributes.

• context (Any | None) – Additional context to pass to the validator.

Raises:

ValidationError – If the object could not be validated.

Return type:

Self

Returns:

The validated model instance.

classmethod model_validate_json(json_data, *, strict=None, context=None)

Usage docs: https://docs.pydantic.dev/2.9/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

• json_data (str | bytes | bytearray) – The JSON data to validate.

• strict (bool | None) – Whether to enforce types strictly.

• context (Any | None) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

Raises:

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

classmethod model_validate_strings(obj, *, strict=None, context=None)

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

Parameters:

• obj (Any) – The object containing string data to validate.

• strict (bool | None) – Whether to enforce types strictly.

• context (Any | None) – Extra variables to pass to the validator.

Return type:

Self

Returns:

The validated Pydantic model.

output: Optional[float]

output_unit: UnitFrequency

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

Return type:

Self

classmethod parse_obj(obj)

Return type:

Self

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

Return type:

Self

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

Return type:

Dict[str, Any]

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

Return type:

str

started_at: Optional[datetime]

status: ApiCallStatus

classmethod update_forward_refs(**localns)

Return type:

None

updated_at: datetime

user_id: Uuid

classmethod validate(value)

Return type:

Self