kittycad.models.ml_prompt_results_page

Classes

MlPromptResultsPage(**data)

A single page of results

class kittycad.models.ml_prompt_results_page.MlPromptResultsPage(**data)[source][source]

A single page of results

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]', 'items': typing.List[kittycad.models.ml_prompt.MlPrompt], 'model_computed_fields': 'ClassVar[Dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[Dict[str, FieldInfo]]', 'next_page': typing.Optional[str]}[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.ml_prompt_results_page'[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] = {'definitions': [{'cls': <class 'kittycad.models.source_position.SourcePosition'>, 'config': {'title': 'SourcePosition'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.source_position.SourcePosition'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.source_position.SourcePosition'>>]}, 'ref': 'kittycad.models.source_position.SourcePosition:94734219610080', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'column': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'int'}, 'type': 'model-field'}, 'line': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'int'}, 'type': 'model-field'}}, 'model_name': 'SourcePosition', 'type': 'model-fields'}, 'type': 'model'}], 'schema': {'cls': <class 'kittycad.models.ml_prompt_results_page.MlPromptResultsPage'>, 'config': {'title': 'MlPromptResultsPage'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ml_prompt_results_page.MlPromptResultsPage'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ml_prompt_results_page.MlPromptResultsPage'>>]}, 'ref': 'kittycad.models.ml_prompt_results_page.MlPromptResultsPage:94734222138704', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'items': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'items_schema': {'cls': <class 'kittycad.models.ml_prompt.MlPrompt'>, 'config': {'title': 'MlPrompt'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ml_prompt.MlPrompt'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ml_prompt.MlPrompt'>>]}, 'ref': 'kittycad.models.ml_prompt.MlPrompt:94734222081264', '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'}, 'feedback': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'cls': <enum 'MlFeedback'>, 'members': [MlFeedback.THUMBS_UP, MlFeedback.THUMBS_DOWN, MlFeedback.ACCEPTED, MlFeedback.REJECTED], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.ml_feedback.MlFeedback:94734217922784', 'sub_type': 'str', 'type': 'enum'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'id': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'function': {'function': <class 'kittycad.models.uuid.Uuid'>, 'type': 'no-info'}, 'schema': {'type': 'str'}, 'type': 'function-after'}, 'type': 'model-field'}, 'metadata': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'cls': <class 'kittycad.models.ml_prompt_metadata.MlPromptMetadata'>, 'config': {'title': 'MlPromptMetadata'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.ml_prompt_metadata.MlPromptMetadata'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.ml_prompt_metadata.MlPromptMetadata'>>]}, 'ref': 'kittycad.models.ml_prompt_metadata.MlPromptMetadata:94734222052656', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'code': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'original_source_code': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'type': 'str'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'source_ranges': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'items_schema': {'cls': <class 'kittycad.models.source_range_prompt.SourceRangePrompt'>, 'config': {'title': 'SourceRangePrompt'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.source_range_prompt.SourceRangePrompt'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.source_range_prompt.SourceRangePrompt'>>]}, 'ref': 'kittycad.models.source_range_prompt.SourceRangePrompt:94734219617472', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'prompt': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'range': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <class 'kittycad.models.source_range.SourceRange'>, 'config': {'title': 'SourceRange'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.source_range.SourceRange'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.source_range.SourceRange'>>]}, 'ref': 'kittycad.models.source_range.SourceRange:94734218480304', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'end': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.source_position.SourcePosition:94734219610080', 'type': 'definition-ref'}, 'type': 'model-field'}, 'start': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'schema_ref': 'kittycad.models.source_position.SourcePosition:94734219610080', 'type': 'definition-ref'}, 'type': 'model-field'}}, 'model_name': 'SourceRange', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'model-field'}}, 'model_name': 'SourceRangePrompt', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'list'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'MlPromptMetadata', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'nullable'}, 'type': 'default'}, 'type': 'model-field'}, 'model_version': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'output_file': {'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'}, 'prompt': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'type': 'str'}, 'type': 'model-field'}, 'started_at': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': None, 'schema': {'schema': {'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:94734216892080', 'sub_type': 'str', 'type': 'enum'}, 'type': 'model-field'}, 'type': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'cls': <enum 'MlPromptType'>, 'members': [MlPromptType.TEXT_TO_CAD, MlPromptType.TEXT_TO_KCL, MlPromptType.TEXT_TO_KCL_ITERATION], 'metadata': {'pydantic_js_functions': [<function GenerateSchema._enum_schema.<locals>.get_json_schema>]}, 'ref': 'kittycad.models.ml_prompt_type.MlPromptType:94734222077104', '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': 'MlPrompt', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'list'}, 'type': 'model-field'}, 'next_page': {'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'}}, 'model_name': 'MlPromptResultsPage', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'definitions'}[source]: The core schema of the model.

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

__pydantic_decorators__: ClassVar[_decorators.DecoratorInfos] = DecoratorInfos(validators={}, field_validators={}, root_validators={}, field_serializers={}, model_serializers={}, model_validators={}, computed_fields={})[source]: Metadata containing the decorators defined on the model. This replaces Model.__validators__ 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( 0x0000562907a89d50, ), serializer: Fields( GeneralFieldsSerializer { fields: { "next_page": SerField { key_py: Py( 0x00007f83d26a1d30, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "items": SerField { key_py: Py( 0x00007f83d701f6c0, ), alias: None, alias_py: None, serializer: Some( List( ListSerializer { item_serializer: Model( ModelSerializer { class: Py( 0x0000562907a7bcf0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "output_file": SerField { key_py: Py( 0x00007f83d5daec70, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "status": SerField { key_py: Py( 0x00007f83d7021d30, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000562907588eb0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "created_at": SerField { key_py: Py( 0x00007f83d26bd4f0, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), 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, }, "metadata": SerField { key_py: Py( 0x00007f83d7020090, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Model( ModelSerializer { class: Py( 0x0000562907a74d30, ), serializer: Fields( GeneralFieldsSerializer { fields: { "source_ranges": SerField { key_py: Py( 0x00007f83d32bf9b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: List( ListSerializer { item_serializer: Model( ModelSerializer { class: Py( 0x00005629078224c0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "prompt": SerField { key_py: Py( 0x00007f83d6f96980, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "range": SerField { key_py: Py( 0x00007f83d6f9d960, ), alias: None, alias_py: None, serializer: Some( Model( ModelSerializer { class: Py( 0x000056290770cab0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "end": SerField { key_py: Py( 0x00007f83d701e348, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, "start": SerField { key_py: Py( 0x00007f83d7021cc8, ), alias: None, alias_py: None, serializer: Some( Recursive( DefinitionRefSerializer { definition: "...", retry_with_lax_check: true, }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 2, }, ), has_extra: false, root_model: false, name: "SourceRange", }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 2, }, ), has_extra: false, root_model: false, name: "SourceRangePrompt", }, ), filter: SchemaFilter { include: None, exclude: None, }, name: "list[SourceRangePrompt]", }, ), }, ), }, ), ), required: true, }, "code": SerField { key_py: Py( 0x00007f83d701d9f8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "original_source_code": SerField { key_py: Py( 0x00007f83d29f20f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 3, }, ), has_extra: false, root_model: false, name: "MlPromptMetadata", }, ), }, ), }, ), ), required: true, }, "user_id": SerField { key_py: Py( 0x00007f83d329c630, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "prompt": SerField { key_py: Py( 0x00007f83d6f96980, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "type": SerField { key_py: Py( 0x00007f83d7022580, ), alias: None, alias_py: None, serializer: Some( Enum( EnumSerializer { class: Py( 0x0000562907a7acb0, ), serializer: Some( Str( StrSerializer, ), ), }, ), ), required: true, }, "updated_at": SerField { key_py: Py( 0x00007f83d26a1770, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "feedback": SerField { key_py: Py( 0x00007f83d29f1d30, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Enum( EnumSerializer { class: Py( 0x00005629076848e0, ), serializer: Some( Str( StrSerializer, ), ), }, ), }, ), }, ), ), required: true, }, "error": SerField { key_py: Py( 0x00007f83d6f7afe0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "model_version": SerField { key_py: Py( 0x00007f83d29f1d70, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "id": SerField { key_py: Py( 0x00007f83d701f0d0, ), alias: None, alias_py: None, serializer: Some( 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, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 14, }, ), has_extra: false, root_model: false, name: "MlPrompt", }, ), filter: SchemaFilter { include: None, exclude: None, }, name: "list[MlPrompt]", }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 2, }, ), has_extra: false, root_model: false, name: "MlPromptResultsPage", }, ), definitions=[Model(ModelSerializer { class: Py(0x5629078207e0), serializer: Fields(GeneralFieldsSerializer { fields: {"line": SerField { key_py: Py(0x7f83d701fc18), alias: None, alias_py: None, serializer: Some(Int(IntSerializer)), required: true }, "column": SerField { key_py: Py(0x7f83d618f120), alias: None, alias_py: None, serializer: Some(Int(IntSerializer)), required: true }}, computed_fields: Some(ComputedFields([])), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None }, required_fields: 2 }), has_extra: false, root_model: false, name: "SourcePosition" })])[source]: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="MlPromptResultsPage", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "items", lookup_key: Simple { key: "items", py_key: Py( 0x00007f83d245ed60, ), path: LookupPath( [ S( "items", Py( 0x00007f83d245ed90, ), ), ], ), }, name_py: Py( 0x00007f83d701f6c0, ), validator: List( ListValidator { strict: false, item_validator: Some( Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "completed_at", lookup_key: Simple { key: "completed_at", py_key: Py( 0x00007f83d24a1f70, ), path: LookupPath( [ S( "completed_at", Py( 0x00007f83d24a2eb0, ), ), ], ), }, 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( 0x00007f83d24a2cb0, ), path: LookupPath( [ S( "created_at", Py( 0x00007f83d24a2e70, ), ), ], ), }, name_py: Py( 0x00007f83d26bd4f0, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "error", lookup_key: Simple { key: "error", py_key: Py( 0x00007f83d245e940, ), path: LookupPath( [ S( "error", Py( 0x00007f83d245e970, ), ), ], ), }, name_py: Py( 0x00007f83d6f7afe0, ), 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: "feedback", lookup_key: Simple { key: "feedback", py_key: Py( 0x00007f83d24a2570, ), path: LookupPath( [ S( "feedback", Py( 0x00007f83d24a2870, ), ), ], ), }, name_py: Py( 0x00007f83d29f1d30, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x00005629076848e0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "thumbs_up": 0, "rejected": 3, "accepted": 2, "thumbs_down": 1, }, ), expected_py_dict: None, expected_py_values: None, values: [ Py( 0x00007f83d28b9cd0, ), Py( 0x00007f83d28b9d30, ), Py( 0x00007f83d28b9d90, ), Py( 0x00007f83d28b9df0, ), ], }, missing: None, expected_repr: "'thumbs_up', 'thumbs_down', 'accepted' or 'rejected'", strict: false, class_repr: "MlFeedback", name: "str-enum[MlFeedback]", }, ), name: "nullable[str-enum[MlFeedback]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[str-enum[MlFeedback]]]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "id", lookup_key: Simple { key: "id", py_key: Py( 0x00007f83d245e9a0, ), path: LookupPath( [ S( "id", Py( 0x00007f83d245e9d0, ), ), ], ), }, name_py: Py( 0x00007f83d701f0d0, ), validator: FunctionAfter( FunctionAfterValidator { validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), func: Py( 0x00005629075848a0, ), config: Py( 0x00007f83d24a48c0, ), name: "function-after[Uuid(), str]", field_name: None, info_arg: false, }, ), frozen: false, }, Field { name: "metadata", lookup_key: Simple { key: "metadata", py_key: Py( 0x00007f83d24a4ef0, ), path: LookupPath( [ S( "metadata", Py( 0x00007f83d24a4f30, ), ), ], ), }, name_py: Py( 0x00007f83d7020090, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "code", lookup_key: Simple { key: "code", py_key: Py( 0x00007f83d245ea00, ), path: LookupPath( [ S( "code", Py( 0x00007f83d245ea30, ), ), ], ), }, name_py: Py( 0x00007f83d701d9f8, ), 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: "original_source_code", lookup_key: Simple { key: "original_source_code", py_key: Py( 0x00007f83d24a2670, ), path: LookupPath( [ S( "original_source_code", Py( 0x00007f83d24a2bf0, ), ), ], ), }, name_py: Py( 0x00007f83d29f20f0, ), 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: "source_ranges", lookup_key: Simple { key: "source_ranges", py_key: Py( 0x00007f83d24a16f0, ), path: LookupPath( [ S( "source_ranges", Py( 0x00007f83d24a4eb0, ), ), ], ), }, name_py: Py( 0x00007f83d32bf9b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d6f2d0e0, ), ), on_error: Raise, validator: Nullable( NullableValidator { validator: List( ListValidator { strict: false, item_validator: Some( Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "prompt", lookup_key: Simple { key: "prompt", py_key: Py( 0x00007f83d245ea60, ), path: LookupPath( [ S( "prompt", Py( 0x00007f83d245ea90, ), ), ], ), }, name_py: Py( 0x00007f83d6f96980, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "range", lookup_key: Simple { key: "range", py_key: Py( 0x00007f83d245eb80, ), path: LookupPath( [ S( "range", Py( 0x00007f83d245ebb0, ), ), ], ), }, name_py: Py( 0x00007f83d6f9d960, ), validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "end", lookup_key: Simple { key: "end", py_key: Py( 0x00007f83d245eac0, ), path: LookupPath( [ S( "end", Py( 0x00007f83d245eaf0, ), ), ], ), }, name_py: Py( 0x00007f83d701e348, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, Field { name: "start", lookup_key: Simple { key: "start", py_key: Py( 0x00007f83d245eb20, ), path: LookupPath( [ S( "start", Py( 0x00007f83d245eb50, ), ), ], ), }, name_py: Py( 0x00007f83d7021cc8, ), validator: DefinitionRef( DefinitionRefValidator { definition: "...", }, ), frozen: false, }, ], model_name: "SourceRange", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x000056290770cab0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "SourceRange", }, ), frozen: false, }, ], model_name: "SourceRangePrompt", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x00005629078224c0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "SourceRangePrompt", }, ), ), min_length: None, max_length: None, name: OnceLock( "list[SourceRangePrompt]", ), fail_fast: false, }, ), name: "nullable[list[SourceRangePrompt]]", }, ), validate_default: false, copy_default: false, name: "default[nullable[list[SourceRangePrompt]]]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "MlPromptMetadata", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562907a74d30, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "MlPromptMetadata", }, ), name: "nullable[MlPromptMetadata]", }, ), validate_default: false, copy_default: false, name: "default[nullable[MlPromptMetadata]]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "model_version", lookup_key: Simple { key: "model_version", py_key: Py( 0x00007f83d24a4f70, ), path: LookupPath( [ S( "model_version", Py( 0x00007f83d24a4fb0, ), ), ], ), }, name_py: Py( 0x00007f83d29f1d70, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "output_file", lookup_key: Simple { key: "output_file", py_key: Py( 0x00007f83d24a4ff0, ), path: LookupPath( [ S( "output_file", Py( 0x00007f83d24a5030, ), ), ], ), }, name_py: Py( 0x00007f83d5daec70, ), 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: "prompt", lookup_key: Simple { key: "prompt", py_key: Py( 0x00007f83d245ebe0, ), path: LookupPath( [ S( "prompt", Py( 0x00007f83d245ec10, ), ), ], ), }, name_py: Py( 0x00007f83d6f96980, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "started_at", lookup_key: Simple { key: "started_at", py_key: Py( 0x00007f83d24a5070, ), path: LookupPath( [ S( "started_at", Py( 0x00007f83d24a50b0, ), ), ], ), }, 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", lookup_key: Simple { key: "status", py_key: Py( 0x00007f83d245ec40, ), path: LookupPath( [ S( "status", Py( 0x00007f83d245ec70, ), ), ], ), }, name_py: Py( 0x00007f83d7021d30, ), validator: StrEnum( EnumValidator { phantom: PhantomData<_pydantic_core::validators::enum_::StrEnumValidator>, class: Py( 0x0000562907588eb0, ), lookup: LiteralLookup { expected_bool: None, expected_int: None, expected_str: Some( { "completed": 3, "failed": 4,