kittycad.models.api_call_with_price

Classes

ApiCallWithPrice(**data)

An API call with the price.

class kittycad.models.api_call_with_price.ApiCallWithPrice(**data)[source][source]

An API call with the price.

This is a join of the ApiCall and ApiCallPrice tables.

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

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

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

__abstractmethods__ = frozenset({})[source]

__annotations__ = {'__class_vars__': 'ClassVar[set[str]]', '__private_attributes__': 'ClassVar[Dict[str, ModelPrivateAttr]]', '__pydantic_complete__': 'ClassVar[bool]', '__pydantic_core_schema__': 'ClassVar[CoreSchema]', '__pydantic_custom_init__': 'ClassVar[bool]', '__pydantic_decorators__': 'ClassVar[_decorators.DecoratorInfos]', '__pydantic_extra__': 'dict[str, Any] | None', '__pydantic_fields_set__': 'set[str]', '__pydantic_generic_metadata__': 'ClassVar[_generics.PydanticGenericMetadata]', '__pydantic_parent_namespace__': 'ClassVar[Dict[str, Any] | None]', '__pydantic_post_init__': "ClassVar[None | Literal['model_post_init']]", '__pydantic_private__': 'dict[str, Any] | None', '__pydantic_root_model__': 'ClassVar[bool]', '__pydantic_serializer__': 'ClassVar[SchemaSerializer]', '__pydantic_validator__': 'ClassVar[SchemaValidator | PluggableSchemaValidator]', '__signature__': 'ClassVar[Signature]', 'completed_at': typing.Optional[datetime.datetime], 'created_at': <class 'datetime.datetime'>, 'duration': typing.Optional[int], 'email': typing.Optional[str], 'endpoint': typing.Optional[str], 'id': <class 'kittycad.models.uuid.Uuid'>, 'ip_address': <class 'str'>, 'litterbox': typing.Optional[bool], 'method': <enum 'Method'>, 'minutes': typing.Optional[int], 'model_computed_fields': 'ClassVar[Dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[Dict[str, FieldInfo]]', 'org_id': typing.Optional[kittycad.models.uuid.Uuid], 'origin': typing.Optional[str], 'price': typing.Optional[float], 'request_body': typing.Optional[str], 'request_query_params': typing.Optional[str], 'response_body': typing.Optional[str], 'started_at': typing.Optional[datetime.datetime], 'status_code': typing.Optional[int], 'stripe_invoice_item_id': typing.Optional[str], 'token': <class 'kittycad.models.uuid.Uuid'>, 'updated_at': <class 'datetime.datetime'>, 'user_agent': <class 'str'>, 'user_id': <class 'kittycad.models.uuid.Uuid'>}[source]

classmethod __class_getitem__(typevar_values)[source]

Return type:: type[BaseModel] | PydanticRecursiveRef

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

__copy__()[source]

Returns a shallow copy of the model.

Return type:: Self

__deepcopy__(memo=None)[source]

Returns a deep copy of the model.

Return type:: Self

__delattr__(item)[source]

Implement delattr(self, name).

Return type:: Any

__dict__[source]

__eq__(other)[source]

Return self==value.

Return type:: bool

property __fields_set__: set[str][source]

classmethod __get_pydantic_core_schema__(source, handler, /)[source]

Hook into generating the model’s CoreSchema.

Parameters:

source (type[BaseModel]) – The class we are generating a schema for. This will generally be the same as the cls argument if this is a classmethod.
handler (GetCoreSchemaHandler) – A callable that calls into Pydantic’s internal CoreSchema generation logic.

Return type:

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

Returns:

A pydantic-core CoreSchema.

classmethod __get_pydantic_json_schema__(core_schema, handler, /)[source]

Hook into generating the model’s JSON schema.

Parameters:

core_schema (Union[AnySchema, NoneSchema, BoolSchema, IntSchema, FloatSchema, DecimalSchema, StringSchema, BytesSchema, DateSchema, TimeSchema, DatetimeSchema, TimedeltaSchema, LiteralSchema, EnumSchema, IsInstanceSchema, IsSubclassSchema, CallableSchema, ListSchema, TupleSchema, SetSchema, FrozenSetSchema, GeneratorSchema, DictSchema, AfterValidatorFunctionSchema, BeforeValidatorFunctionSchema, WrapValidatorFunctionSchema, PlainValidatorFunctionSchema, WithDefaultSchema, NullableSchema, UnionSchema, TaggedUnionSchema, ChainSchema, LaxOrStrictSchema, JsonOrPythonSchema, TypedDictSchema, ModelFieldsSchema, ModelSchema, DataclassArgsSchema, DataclassSchema, ArgumentsSchema, CallSchema, CustomErrorSchema, JsonSchema, UrlSchema, MultiHostUrlSchema, DefinitionsSchema, DefinitionReferenceSchema, UuidSchema, ComplexSchema]) – A pydantic-core CoreSchema. You can ignore this argument and call the handler with a new CoreSchema, wrap this CoreSchema ({'type': 'nullable', 'schema': current_schema}), or just call the handler with the original schema.
handler (GetJsonSchemaHandler) – Call into Pydantic’s internal JSON schema generation. This will raise a pydantic.errors.PydanticInvalidForJsonSchema if JSON schema generation fails. Since this gets called by BaseModel.model_json_schema you can override the schema_generator argument to that function to change JSON schema generation globally for a type.

Return type:

Dict[str, Any]

Returns:

A JSON schema, as a Python object.

__getattr__(item)[source]

Return type:: Any

__getstate__()[source]

Helper for pickle.

Return type:: dict[Any, Any]

__hash__ = None[source]

__init__(**data)[source]

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

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

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

__iter__()[source]

So dict(model) works.

Return type:: Generator[Tuple[str, Any], None, None]

__module__ = 'kittycad.models.api_call_with_price'[source]

__pretty__(fmt, **kwargs)[source]

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

Return type:: Generator[Any, None, None]

__private_attributes__: ClassVar[Dict[str, ModelPrivateAttr]] = {}[source]: Metadata about the private attributes of the model.

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

__pydantic_core_schema__: ClassVar[CoreSchema] = {'cls': <class 'kittycad.models.api_call_with_price.ApiCallWithPrice'>, 'config': {'title': 'ApiCallWithPrice'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.api_call_with_price.ApiCallWithPrice'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.api_call_with_price.ApiCallWithPrice'>>]}, 'ref': 'kittycad.models.api_call_with_price.ApiCallWithPrice:94734216875312', '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'}, 'duration': {'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': 'int'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'email': {'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'}, 'endpoint': {'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'}, 'ip_address': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': '', 'schema': {'type': 'str'}, 'type': 'default'}, 'type': 'model-field'}, 'litterbox': {'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': 'bool'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'method': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'Method'>, 'members': [Method.OPTIONS, Method.GET, Method.POST, Method.PUT, Method.DELETE, Method.HEAD, Method.TRACE, Method.CONNECT, Method.PATCH, Method.EXTENSION], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.method.Method:94734214523312', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'minutes': {'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': 'int'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'org_id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'origin': {'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'}, 'price': {'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'}, 'request_body': {'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'}, 'request_query_params': {'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'}, 'response_body': {'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'}, '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_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': 'int'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'stripe_invoice_item_id': {'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'}, 'token': {'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'}, '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_agent': {'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'}, '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': 'ApiCallWithPrice', 'type': 'model-fields'}, 'type': 'model'}[source]: The core schema of the model.

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

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

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

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

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

classmethod __pydantic_init_subclass__(**kwargs)[source]

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

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

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

Parameters:: **kwargs (Any) – Any keyword arguments passed to the class definition that aren’t used internally by pydantic.
Return type:: None

__pydantic_parent_namespace__: ClassVar[Dict[str, Any] | None] = None[source]: Parent namespace of the model, used for automatic rebuilding of models.

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

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

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

__pydantic_serializer__: ClassVar[SchemaSerializer] = SchemaSerializer(serializer=Model( ModelSerializer { class: Py( 0x0000562907584d30, ), serializer: Fields( GeneralFieldsSerializer { fields: { "updated_at": SerField { key_py: Py( 0x00007f83d26a1770, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007f83d329c630, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "ip_address": SerField { key_py: Py( 0x00007f83d5f1d8b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "started_at": SerField { key_py: Py( 0x00007f83d26a1830, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "response_body": SerField { key_py: Py( 0x00007f83d26a1870, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "duration": SerField { key_py: Py( 0x00007f83d701e200, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Int( IntSerializer, ), }, ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007f83d26bd4f0, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "origin": SerField { key_py: Py( 0x00007f83d7020a78, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "status_code": SerField { key_py: Py( 0x00007f83d3d759b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Int( IntSerializer, ), }, ), }, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007f83d701f0d0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "method": SerField { key_py: Py( 0x00007f83d70200c8, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x00005629073469b0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "minutes": SerField { key_py: Py( 0x00007f83d5ac3c00, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Int( IntSerializer, ), }, ), }, ), ), required: true, }, "request_query_params": SerField { key_py: Py( 0x00007f83d26a18b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "user_agent": SerField { key_py: Py( 0x00007f83d5ba0cb0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "request_body": SerField { key_py: Py( 0x00007f83d38a82f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "endpoint": SerField { key_py: Py( 0x00007f83d26ac030, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "org_id": SerField { key_py: Py( 0x00007f83d329d530, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "completed_at": SerField { key_py: Py( 0x00007f83d26bc330, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Datetime( DatetimeSerializer, ), }, ), }, ), ), required: true, }, "litterbox": SerField { key_py: Py( 0x00007f83d26a3530, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Bool( BoolSerializer, ), }, ), }, ), ), required: true, }, "stripe_invoice_item_id": SerField { key_py: Py( 0x00007f83d26a17b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "email": SerField { key_py: Py( 0x00007f83d5e98600, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "token": SerField { key_py: Py( 0x00007f83d6115ad0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "price": SerField { key_py: Py( 0x00007f83d329d6e0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), 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: 23, }, ), has_extra: false, root_model: false, name: "ApiCallWithPrice", }, ), definitions=[])[source]: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="ApiCallWithPrice", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007f83d26be170, ), path: LookupPath( [ S( "completed_at", Py( 0x00007f83d26bdc30, ), ), ], ), }, name_py: Py( 0x00007f83d26bc330, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), 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( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "created_at", lookup_key: Simple { key: "created_at", py_key: Py( 0x00007f83d27764f0, ), path: LookupPath( [ S( "created_at", Py( 0x00007f83d27775f0, ), ), ], ), }, name_py: Py( 0x00007f83d26bd4f0, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "duration", lookup_key: Simple { key: "duration", py_key: Py( 0x00007f83d2774870, ), path: LookupPath( [ S( "duration", Py( 0x00007f83d27748b0, ), ), ], ), }, name_py: Py( 0x00007f83d701e200, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Int( IntValidator { strict: false, }, ), name: "nullable[int]", }, ), validate_default: false, copy_default: false, name: "default[nullable[int]]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "email", lookup_key: Simple { key: "email", py_key: Py( 0x00007f83d3295e60, ), path: LookupPath( [ S( "email", Py( 0x00007f83d3295440, ), ), ], ), }, name_py: Py( 0x00007f83d5e98600, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), 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( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "endpoint", lookup_key: Simple { key: "endpoint", py_key: Py( 0x00007f83d2774830, ), path: LookupPath( [ S( "endpoint", Py( 0x00007f83d27747f0, ), ), ], ), }, name_py: Py( 0x00007f83d26ac030, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), 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( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007f83d3296580, ), path: LookupPath( [ S( "id", Py( 0x00007f83d3297de0, ), ), ], ), }, name_py: Py( 0x00007f83d701f0d0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x00005629075848a0, ), config: Py( 0x00007f83d2774940, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "ip_address", lookup_key: Simple { key: "ip_address", py_key: Py( 0x00007f83d27747b0, ), path: LookupPath( [ S( "ip_address", Py( 0x00007f83d2774770, ), ), ], ), }, name_py: Py( 0x00007f83d5f1d8b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7019b30, ), ), on_error: Raise, validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), validate_default: false, copy_default: false, name: "default[str]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "litterbox", lookup_key: Simple { key: "litterbox", py_key: Py( 0x00007f83d2774730, ), path: LookupPath( [ S( "litterbox", Py( 0x00007f83d27746f0, ), ), ], ), }, name_py: Py( 0x00007f83d26a3530, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), 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( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "method", lookup_key: Simple { key: "method", py_key: Py( 0x00007f83d3297f90, ), path: LookupPath( [ S( "method", Py( 0x00007f83d3295a10, ), ), ], ), }, name_py: Py( 0x00007f83d70200c8, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x00005629073469b0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "PUT": 3, "PATCH": 8, "CONNECT": 7, "HEAD": 5, "OPTIONS": 0, "GET": 1, "POST": 2, "TRACE": 6, "EXTENSION": 9, "DELETE": 4, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f83d2952bd0, ), Py( 0x00007f83d2952c30, ), Py( 0x00007f83d2952c90, ), Py( 0x00007f83d2952cf0, ), Py( 0x00007f83d2952d50, ), Py( 0x00007f83d2952db0, ), Py( 0x00007f83d2952e10, ), Py( 0x00007f83d2952e70, ), Py( 0x00007f83d2952ed0, ), Py( 0x00007f83d2952f30, ), ], }, missing: None, expected_repr: "'OPTIONS', 'GET', 'POST', 'PUT', 'DELETE', 'HEAD', 'TRACE', 'CONNECT', 'PATCH' or 'EXTENSION'", strict: false, class_repr: "Method", name: "str-enum[Method]", }, ), frozen: false, }, Field { name: "minutes", lookup_key: Simple { key: "minutes", py_key: Py( 0x00007f83d3295b60, ), path: LookupPath( [ S( "minutes", Py( 0x00007f83d329ce40, ), ), ], ), }, name_py: Py( 0x00007f83d5ac3c00, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Int( IntValidator { strict: false, }, ), name: "nullable[int]", }, ), validate_default: false, copy_default: false, name: "default[nullable[int]]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "org_id", lookup_key: Simple { key: "org_id", py_key: Py( 0x00007f83d329da70, ), path: LookupPath( [ S( "org_id", Py( 0x00007f83d329d2c0, ), ), ], ), }, name_py: Py( 0x00007f83d329d530, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x00005629075848a0, ), config: Py( 0x00007f83d2774940, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), name: "nullable[function-after[Uuid(), str]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[function-after[Uuid(), str]]]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "origin", lookup_key: Simple { key: "origin", py_key: Py( 0x00007f83d329d3b0, ), path: LookupPath( [ S( "origin", Py( 0x00007f83d329cea0, ), ), ], ), }, name_py: Py( 0x00007f83d7020a78, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), 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( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "price", lookup_key: Simple { key: "price", py_key: Py( 0x00007f83d329daa0, ), path: LookupPath( [ S( "price", Py( 0x00007f83d329db00, ), ), ], ), }, name_py: Py( 0x00007f83d329d6e0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), 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( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "request_body", lookup_key: Simple { key: "request_body", py_key: Py( 0x00007f83d27746b0, ), path: LookupPath( [ S( "request_body", Py( 0x00007f83d2774670, ), ), ], ), }, name_py: Py( 0x00007f83d38a82f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), 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( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "request_query_params", lookup_key: Simple { key: "request_query_params", py_key: Py( 0x00007f83d2774630, ), path: LookupPath( [ S( "request_query_params", Py( 0x00007f83d27745f0, ), ), ], ), }, name_py: Py( 0x00007f83d26a18b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), 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( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "response_body", lookup_key: Simple { key: "response_body", py_key: Py( 0x00007f83d2774570, ), path: LookupPath( [ S( "response_body", Py( 0x00007f83d27745b0, ), ), ], ), }, name_py: Py( 0x00007f83d26a1870, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), 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( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "started_at", lookup_key: Simple { key: "started_at", py_key: Py( 0x00007f83d2774530, ), path: LookupPath( [ S( "started_at", Py( 0x00007f83d27744f0, ), ), ], ), }, name_py: Py( 0x00007f83d26a1830, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), 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( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "status_code", lookup_key: Simple { key: "status_code", py_key: Py( 0x00007f83d27744b0, ), path: LookupPath( [ S( "status_code", Py( 0x00007f83d2774470, ), ), ], ), }, name_py: Py( 0x00007f83d3d759b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Int( IntValidator { strict: false, }, ), name: "nullable[int]", }, ), validate_default: false, copy_default: false, name: "default[nullable[int]]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "stripe_invoice_item_id", lookup_key: Simple { key: "stripe_invoice_item_id", py_key: Py( 0x00007f83d2774430, ), path: LookupPath( [ S( "stripe_invoice_item_id", Py( 0x00007f83d27743f0, ), ), ], ), }, name_py: Py( 0x00007f83d26a17b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), 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( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "token", lookup_key: Simple { key: "token", py_key: Py( 0x00007f83d329db30, ), path: LookupPath( [ S( "token", Py( 0x00007f83d329db60, ), ), ], ), }, name_py: Py( 0x00007f83d6115ad0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x00005629075848a0, ), config: Py( 0x00007f83d2774940, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "updated_at", lookup_key: Simple { key: "updated_at", py_key: Py( 0x00007f83d27743b0, ), path: LookupPath( [ S( "updated_at", Py( 0x00007f83d2774370, ), ), ], ), }, name_py: Py( 0x00007f83d26a1770, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "user_agent", lookup_key: Simple { key: "user_agent", py_key: Py( 0x00007f83d2774330, ), path: LookupPath( [ S( "user_agent", Py( 0x00007f83d27742f0, ), ), ], ), }, name_py: Py( 0x00007f83d5ba0cb0, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "user_id", lookup_key: Simple { key: "user_id", py_key: Py( 0x00007f83d329db90, ), path: LookupPath( [ S( "user_id", Py( 0x00007f83d329dbc0, ), ), ], ), }, name_py: Py( 0x00007f83d329c630, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x00005629075848a0, ), config: Py( 0x00007f83d2774940, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, ], model_name: "ApiCallWithPrice", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562907584d30, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "ApiCallWithPrice", }, ), definitions=[], cache_strings=True)[source]: The pydantic-core SchemaValidator used to validate instances of the model.

__repr__()[source]

Return repr(self).

Return type:: str

__repr_args__()[source]

Return type:: Iterable[tuple[str | None, Any]]

__repr_name__()[source]

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

Return type:: str

__repr_str__(join_str)[source]

Return type:: str

__rich_repr__()[source]

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

Return type:: Iterable[Any | tuple[Any] | tuple[str, Any] | tuple[str, Any, Any]]

__setattr__(name, value)[source]

Implement setattr(self, name, value).

Return type:: None

__setstate__(state)[source]

Return type:: None

__signature__: ClassVar[Signature] = <Signature (*, completed_at: Optional[datetime.datetime] = None, created_at: datetime.datetime, duration: Optional[int] = None, email: Optional[str] = None, endpoint: Optional[str] = None, id: kittycad.models.uuid.Uuid, ip_address: str = '', litterbox: Optional[bool] = None, method: kittycad.models.method.Method, minutes: Optional[int] = None, org_id: Optional[kittycad.models.uuid.Uuid] = None, origin: Optional[str] = None, price: Optional[float] = None, request_body: Optional[str] = None, request_query_params: Optional[str] = None, response_body: Optional[str] = None, started_at: Optional[datetime.datetime] = None, status_code: Optional[int] = None, stripe_invoice_item_id: Optional[str] = None, token: kittycad.models.uuid.Uuid, updated_at: datetime.datetime, user_agent: str, user_id: kittycad.models.uuid.Uuid) -> None>[source]: The synthesized __init__ [Signature][inspect.Signature] of the model.

__slots__ = ('__dict__', '__pydantic_fields_set__', '__pydantic_extra__', '__pydantic_private__')[source]

__str__()[source]

Return str(self).

Return type:: str

_abc_impl = <_abc._abc_data object>[source]

_calculate_keys(*args, **kwargs)[source]

Return type:: Any

_check_frozen(name, value)[source]

Return type:: None

_copy_and_set_values(*args, **kwargs)[source]

Return type:: Any

classmethod _get_value(*args, **kwargs)[source]

Return type:: Any

_iter(*args, **kwargs)[source]

Return type:: Any

completed_at: Optional[datetime][source]

classmethod construct(_fields_set=None, **values)[source]

Return type:: Self

copy(*, include=None, exclude=None, update=None, deep=False)[source]

Returns a copy of the model.

!!! warning “Deprecated”: This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

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

Parameters:

include – Optional set or mapping specifying which fields to include in the copied model.
exclude – Optional set or mapping specifying which fields to exclude in the copied model.
update – Optional dictionary of field-value pairs to override field values in the copied model.
deep – If True, the values of fields that are Pydantic models will be deep-copied.

Returns:

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

created_at: datetime[source]

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

Return type:: Dict[str, Any]

duration: Optional[int][source]

email: Optional[str][source]

endpoint: Optional[str][source]

classmethod from_orm(obj)[source]

Return type:: Self

id: Uuid[source]

ip_address: str[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:: str

litterbox: Optional[bool][source]

method: Method[source]

minutes: Optional[int][source]

model_computed_fields: ClassVar[Dict[str, ComputedFieldInfo]] = {}[source]: A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {'protected_namespaces': ()}[source]: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

classmethod model_construct(_fields_set=None, **values)[source]

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

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

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

Parameters:

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

Return type:

Self

Returns:

A new instance of the Model class with validated data.

model_copy(*, update=None, deep=False)[source]

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

Returns a copy of the model.

Parameters:

update (dict[str, Any] | None) – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.
deep (bool) – Set to True to make a deep copy of the model.

Return type:

Self

Returns:

New model instance.

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

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

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

Parameters:

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

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

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

Parameters:

indent (int | None) – Indentation to use in the JSON output. If None is passed, the output will be compact.
include (Union[Set[int], Set[str], 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[source]

Get extra fields set during validation.

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

model_fields: ClassVar[Dict[str, FieldInfo]] = {'completed_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'created_at': FieldInfo(annotation=datetime, required=True), 'duration': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'email': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'endpoint': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'id': FieldInfo(annotation=Uuid, required=True), 'ip_address': FieldInfo(annotation=str, required=False, default=''), 'litterbox': FieldInfo(annotation=Union[bool, NoneType], required=False, default=None), 'method': FieldInfo(annotation=Method, required=True), 'minutes': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'org_id': FieldInfo(annotation=Union[Uuid, NoneType], required=False, default=None), 'origin': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'price': FieldInfo(annotation=Union[float, NoneType], required=False, default=None), 'request_body': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'request_query_params': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'response_body': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'started_at': FieldInfo(annotation=Union[datetime, NoneType], required=False, default=None), 'status_code': FieldInfo(annotation=Union[int, NoneType], required=False, default=None), 'stripe_invoice_item_id': FieldInfo(annotation=Union[str, NoneType], required=False, default=None), 'token': FieldInfo(annotation=Uuid, required=True), 'updated_at': FieldInfo(annotation=datetime, required=True), 'user_agent': FieldInfo(annotation=str, 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] objects.

This replaces Model.__fields__ from Pydantic V1.

property model_fields_set: set[str][source]

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,: i.e. that were not filled from defaults.

classmethod model_json_schema(by_alias=True, ref_template='#/$defs/{model}', schema_generator=<class 'pydantic.json_schema.GenerateJsonSchema'>, mode='validation')[source]

Generates a JSON schema for a model class.

Parameters:

by_alias (bool) – Whether to use attribute aliases or not.
ref_template (str) – The reference template.
schema_generator (type[GenerateJsonSchema]) – To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications
mode (Literal['validation', 'serialization']) – The mode in which to generate the schema.

Return type:

dict[str, Any]

Returns:

The JSON schema for the given model class.

classmethod model_parametrized_name(params)[source]

Compute the class name for parametrizations of generic classes.

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

Parameters:: params (tuple[type[Any], ...]) – Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.
Return type:: str
Returns:: String representing the new class where params are passed to cls as type variables.
Raises:: TypeError – Raised when trying to generate concrete names for non-generic models.

model_post_init(_BaseModel__context)[source]

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

Return type:: None

classmethod model_rebuild(*, force=False, raise_errors=True, _parent_namespace_depth=2, _types_namespace=None)[source]

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

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

Parameters:

force (bool) – Whether to force the rebuilding of the model schema, defaults to False.
raise_errors (bool) – Whether to raise errors, defaults to True.
_parent_namespace_depth (int) – The depth level of the parent namespace, defaults to 2.
_types_namespace (dict[str, Any] | None) – The types namespace, defaults to None.

Return type:

bool | None

Returns:

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

classmethod model_validate(obj, *, strict=None, from_attributes=None, context=None)[source]

Validate a pydantic model instance.

Parameters:

obj (Any) – The object to validate.
strict (bool | None) – Whether to enforce types strictly.
from_attributes (bool | None) – Whether to extract data from object attributes.
context (Any | None) – Additional context to pass to the validator.

Raises: