kittycad.models.connection.Connection

class kittycad.models.connection.Connection(**data)[source][source]

Bases: BaseModel

Metadata about a pub-sub connection.

This is mostly used for internal purposes and debugging.

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.

__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.

Methods

`__init__`(**data)	Create a new model by parsing and validating input data from keyword arguments.
`construct`([_fields_set])
`copy`(*[, include, exclude, update, deep])	Returns a copy of the model.
`dict`(*[, include, exclude, by_alias, ...])
`from_orm`(obj)
`json`(*[, include, exclude, by_alias, ...])
`model_construct`([_fields_set])	Creates a new instance of the `Model` class with validated data.
`model_copy`(*[, update, deep])	Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#model_copy
`model_dump`(*[, mode, include, exclude, ...])	Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump
`model_dump_json`(*[, indent, include, ...])	Usage docs: https://docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump_json
`model_json_schema`([by_alias, ref_template, ...])	Generates a JSON schema for a model class.
`model_parametrized_name`(params)	Compute the class name for parametrizations of generic classes.
`model_post_init`(_BaseModel__context)	Override this method to perform additional initialization after `__init__` and `model_construct`.
`model_rebuild`(*[, force, raise_errors, ...])	Try to rebuild the pydantic-core schema for the model.
`model_validate`(obj, *[, strict, ...])	Validate a pydantic model instance.
`model_validate_json`(json_data, *[, strict, ...])	Usage docs: https://docs.pydantic.dev/2.9/concepts/json/#json-parsing
`model_validate_strings`(obj, *[, strict, context])	Validate the given object with string data against the Pydantic model.
`parse_file`(path, *[, content_type, ...])
`parse_obj`(obj)
`parse_raw`(b, *[, content_type, encoding, ...])
`schema`([by_alias, ref_template])
`schema_json`(*[, by_alias, ref_template])
`update_forward_refs`(**localns)
`validate`(value)

Attributes

`model_computed_fields`	A dictionary of computed field names and their corresponding `ComputedFieldInfo` objects.
`model_config`	Configuration for the model, should be a dictionary conforming to [`ConfigDict`][pydantic.config.ConfigDict].
`model_extra`	Get extra fields set during validation.
`model_fields`	Metadata about the fields defined on the model, mapping of field names to [`FieldInfo`][pydantic.fields.FieldInfo] objects.
`model_fields_set`	Returns the set of fields that have been explicitly set on this model instance.
`auth_timeout`
`cluster`
`config_load_time`
`connections`
`cores`
`cpu`
`gateway`
`git_commit`
`go`
`gomaxprocs`
`host`
`http_base_path`
`http_host`
`http_port`
`http_req_stats`
`https_port`
`in_bytes`
`in_msgs`
`jetstream`
`leaf`
`leafnodes`
`max_connections`
`max_control_line`
`max_payload`
`max_pending`
`mem`
`now`
`out_bytes`
`out_msgs`
`ping_interval`
`ping_max`
`port`
`proto`
`remotes`
`routes`
`server_id`
`server_name`
`slow_consumers`
`start`
`subscriptions`
`system_account`
`tls_timeout`
`total_connections`
`uptime`
`version`
`write_deadline`

__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]', 'auth_timeout': <class 'int'>, 'cluster': <class 'kittycad.models.cluster.Cluster'>, 'config_load_time': <class 'datetime.datetime'>, 'connections': <class 'int'>, 'cores': <class 'int'>, 'cpu': <class 'float'>, 'gateway': <class 'kittycad.models.gateway.Gateway'>, 'git_commit': <class 'str'>, 'go': <class 'str'>, 'gomaxprocs': <class 'int'>, 'host': <class 'str'>, 'http_base_path': <class 'str'>, 'http_host': <class 'str'>, 'http_port': <class 'int'>, 'http_req_stats': typing.Dict[str, int], 'https_port': <class 'int'>, 'in_bytes': <class 'int'>, 'in_msgs': <class 'int'>, 'jetstream': <class 'kittycad.models.jetstream.Jetstream'>, 'leaf': <class 'kittycad.models.leaf_node.LeafNode'>, 'leafnodes': <class 'int'>, 'max_connections': <class 'int'>, 'max_control_line': <class 'int'>, 'max_payload': <class 'int'>, 'max_pending': <class 'int'>, 'mem': <class 'int'>, 'model_computed_fields': 'ClassVar[Dict[str, ComputedFieldInfo]]', 'model_config': 'ClassVar[ConfigDict]', 'model_fields': 'ClassVar[Dict[str, FieldInfo]]', 'now': <class 'datetime.datetime'>, 'out_bytes': <class 'int'>, 'out_msgs': <class 'int'>, 'ping_interval': <class 'int'>, 'ping_max': <class 'int'>, 'port': <class 'int'>, 'proto': <class 'int'>, 'remotes': <class 'int'>, 'routes': <class 'int'>, 'server_id': <class 'str'>, 'server_name': <class 'str'>, 'slow_consumers': <class 'int'>, 'start': <class 'datetime.datetime'>, 'subscriptions': <class 'int'>, 'system_account': <class 'str'>, 'tls_timeout': <class 'int'>, 'total_connections': <class 'int'>, 'uptime': <class 'str'>, 'version': <class 'str'>, 'write_deadline': <class 'int'>}[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.connection'[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.connection.Connection'>, 'config': {'title': 'Connection'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.connection.Connection'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.connection.Connection'>>]}, 'ref': 'kittycad.models.connection.Connection:94734206933776', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'auth_timeout': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'cluster': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': {'addr': None, 'auth_timeout': 0, 'cluster_port': 0, 'name': '', 'tls_timeout': 0, 'urls': []}, 'schema': {'cls': <class 'kittycad.models.cluster.Cluster'>, 'config': {'title': 'Cluster'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.cluster.Cluster'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.cluster.Cluster'>>]}, 'ref': 'kittycad.models.cluster.Cluster:94734206827584', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'addr': {'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'}, 'auth_timeout': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'cluster_port': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'name': {'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'}, 'tls_timeout': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'urls': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': [], 'schema': {'items_schema': {'type': 'str'}, 'type': 'list'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'Cluster', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'default'}, 'type': 'model-field'}, 'config_load_time': {'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'}, 'connections': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'cores': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'cpu': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0.0, 'schema': {'type': 'float'}, 'type': 'default'}, 'type': 'model-field'}, 'gateway': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': {'auth_timeout': 0, 'host': '', 'name': '', 'port': 0, 'tls_timeout': 0}, 'schema': {'cls': <class 'kittycad.models.gateway.Gateway'>, 'config': {'title': 'Gateway'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.gateway.Gateway'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.gateway.Gateway'>>]}, 'ref': 'kittycad.models.gateway.Gateway:94734206863248', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'auth_timeout': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'host': {'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'}, 'name': {'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'}, 'port': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'tls_timeout': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'Gateway', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'default'}, 'type': 'model-field'}, 'git_commit': {'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'}, 'go': {'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'}, 'gomaxprocs': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'host': {'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'}, 'http_base_path': {'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'}, 'http_host': {'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'}, 'http_port': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'http_req_stats': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'keys_schema': {'type': 'str'}, 'type': 'dict', 'values_schema': {'type': 'int'}}, 'type': 'model-field'}, 'https_port': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'in_bytes': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'in_msgs': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'jetstream': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': {'config': {'domain': '', 'max_memory': 0, 'max_storage': 0, 'store_dir': ''}, 'meta': {'cluster_size': 0, 'leader': '', 'name': ''}, 'stats': {'accounts': 0, 'api': {'errors': 0, 'inflight': 0, 'total': 0}, 'ha_assets': 0, 'memory': 0, 'reserved_memory': 0, 'reserved_store': 0, 'store': 0}}, 'schema': {'cls': <class 'kittycad.models.jetstream.Jetstream'>, 'config': {'title': 'Jetstream'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.jetstream.Jetstream'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.jetstream.Jetstream'>>]}, 'ref': 'kittycad.models.jetstream.Jetstream:94734206994320', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'config': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': {'domain': '', 'max_memory': 0, 'max_storage': 0, 'store_dir': ''}, 'schema': {'cls': <class 'kittycad.models.jetstream_config.JetstreamConfig'>, 'config': {'title': 'JetstreamConfig'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.jetstream_config.JetstreamConfig'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.jetstream_config.JetstreamConfig'>>]}, 'ref': 'kittycad.models.jetstream_config.JetstreamConfig:94734206950576', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'domain': {'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'}, 'max_memory': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'max_storage': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'store_dir': {'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'}}, 'model_name': 'JetstreamConfig', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'default'}, 'type': 'model-field'}, 'meta': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': {'cluster_size': 0, 'leader': '', 'name': ''}, 'schema': {'cls': <class 'kittycad.models.meta_cluster_info.MetaClusterInfo'>, 'config': {'title': 'MetaClusterInfo'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.meta_cluster_info.MetaClusterInfo'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.meta_cluster_info.MetaClusterInfo'>>]}, 'ref': 'kittycad.models.meta_cluster_info.MetaClusterInfo:94734206984848', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'cluster_size': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'leader': {'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'}, 'name': {'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'}}, 'model_name': 'MetaClusterInfo', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'default'}, 'type': 'model-field'}, 'stats': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': {'accounts': 0, 'api': {'errors': 0, 'inflight': 0, 'total': 0}, 'ha_assets': 0, 'memory': 0, 'reserved_memory': 0, 'reserved_store': 0, 'store': 0}, 'schema': {'cls': <class 'kittycad.models.jetstream_stats.JetstreamStats'>, 'config': {'title': 'JetstreamStats'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.jetstream_stats.JetstreamStats'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.jetstream_stats.JetstreamStats'>>]}, 'ref': 'kittycad.models.jetstream_stats.JetstreamStats:94734207015552', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'accounts': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'api': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': {'errors': 0, 'inflight': 0, 'total': 0}, 'schema': {'cls': <class 'kittycad.models.jetstream_api_stats.JetstreamApiStats'>, 'config': {'title': 'JetstreamApiStats'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.jetstream_api_stats.JetstreamApiStats'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.jetstream_api_stats.JetstreamApiStats'>>]}, 'ref': 'kittycad.models.jetstream_api_stats.JetstreamApiStats:94734207005680', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'errors': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'inflight': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'total': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'JetstreamApiStats', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'default'}, 'type': 'model-field'}, 'ha_assets': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'memory': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'reserved_memory': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'reserved_store': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'store': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'JetstreamStats', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'Jetstream', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'default'}, 'type': 'model-field'}, 'leaf': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': {'auth_timeout': 0, 'host': '', 'port': 0, 'tls_timeout': 0}, 'schema': {'cls': <class 'kittycad.models.leaf_node.LeafNode'>, 'config': {'title': 'LeafNode'}, 'custom_init': False, 'metadata': {'pydantic_js_annotation_functions': [], 'pydantic_js_functions': [functools.partial(<function modify_model_json_schema>, cls=<class 'kittycad.models.leaf_node.LeafNode'>, title=None), <bound method BaseModel.__get_pydantic_json_schema__ of <class 'kittycad.models.leaf_node.LeafNode'>>]}, 'ref': 'kittycad.models.leaf_node.LeafNode:94734206915408', 'root_model': False, 'schema': {'computed_fields': [], 'fields': {'auth_timeout': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'host': {'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'}, 'port': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'tls_timeout': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'LeafNode', 'type': 'model-fields'}, 'type': 'model'}, 'type': 'default'}, 'type': 'model-field'}, 'leafnodes': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'max_connections': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'max_control_line': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'max_payload': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'max_pending': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'mem': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'now': {'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'}, 'out_bytes': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'out_msgs': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'ping_interval': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'ping_max': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'port': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'proto': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'remotes': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'routes': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'server_id': {'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'}, 'server_name': {'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'}, 'slow_consumers': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'start': {'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'}, 'subscriptions': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'system_account': {'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'}, 'tls_timeout': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'total_connections': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}, 'uptime': {'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'}, 'version': {'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'}, 'write_deadline': {'metadata': {'pydantic_js_annotation_functions': [<function get_json_schema_update_func.<locals>.json_schema_update_func>], 'pydantic_js_functions': []}, 'schema': {'default': 0, 'schema': {'type': 'int'}, 'type': 'default'}, 'type': 'model-field'}}, 'model_name': 'Connection', '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( 0x0000562906c09b10, ), serializer: Fields( GeneralFieldsSerializer { fields: { "start": SerField { key_py: Py( 0x00007f83d7021cc8, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "proto": SerField { key_py: Py( 0x00007f83d7020fc8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "go": SerField { key_py: Py( 0x00007f83d5ea0540, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "leafnodes": SerField { key_py: Py( 0x00007f83d27ae530, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "out_bytes": SerField { key_py: Py( 0x00007f83d27ae3b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "cores": SerField { key_py: Py( 0x00007f83d2a11d70, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "tls_timeout": SerField { key_py: Py( 0x00007f83d27c4d30, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "version": SerField { key_py: Py( 0x00007f83d70227a8, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "http_host": SerField { key_py: Py( 0x00007f83d27b15f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "in_msgs": SerField { key_py: Py( 0x00007f83d2a120d0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "remotes": SerField { key_py: Py( 0x00007f83d29caf10, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "max_control_line": SerField { key_py: Py( 0x00007f83d27ae470, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "max_payload": SerField { key_py: Py( 0x00007f83d27ae430, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "now": SerField { key_py: Py( 0x00007f83d5c193b0, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "slow_consumers": SerField { key_py: Py( 0x00007f83d27ae230, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "uptime": SerField { key_py: Py( 0x00007f83d29cb1e0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "routes": SerField { key_py: Py( 0x00007f83d29cb720, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "gomaxprocs": SerField { key_py: Py( 0x00007f83d27b8b70, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "https_port": SerField { key_py: Py( 0x00007f83d27b16b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "server_name": SerField { key_py: Py( 0x00007f83d27ae270, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "cpu": SerField { key_py: Py( 0x00007f83d2a11e00, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d342aaf0, ), ), serializer: Float( FloatSerializer { inf_nan_mode: Null, }, ), }, ), ), required: true, }, "http_port": SerField { key_py: Py( 0x00007f83d27b1630, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "gateway": SerField { key_py: Py( 0x00007f83d3695950, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d27af880, ), ), serializer: Model( ModelSerializer { class: Py( 0x0000562906bf8790, ), serializer: Fields( GeneralFieldsSerializer { fields: { "name": SerField { key_py: Py( 0x00007f83d7020368, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "auth_timeout": SerField { key_py: Py( 0x00007f83d27c4df0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "tls_timeout": SerField { key_py: Py( 0x00007f83d27c4d30, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "port": SerField { key_py: Py( 0x00007f83d604de00, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "host": SerField { key_py: Py( 0x00007f83d604dda0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 5, }, ), has_extra: false, root_model: false, name: "Gateway", }, ), }, ), ), required: true, }, "jetstream": SerField { key_py: Py( 0x00007f83d31a7e70, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d275e640, ), ), serializer: Model( ModelSerializer { class: Py( 0x0000562906c18790, ), serializer: Fields( GeneralFieldsSerializer { fields: { "config": SerField { key_py: Py( 0x00007f83d693f7b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d275ec00, ), ), serializer: Model( ModelSerializer { class: Py( 0x0000562906c0dcb0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "max_memory": SerField { key_py: Py( 0x00007f83d27b1730, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "store_dir": SerField { key_py: Py( 0x00007f83d27b17b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "domain": SerField { key_py: Py( 0x00007f83d65f2730, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "max_storage": SerField { key_py: Py( 0x00007f83d27b1770, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 4, }, ), has_extra: false, root_model: false, name: "JetstreamConfig", }, ), }, ), ), required: true, }, "stats": SerField { key_py: Py( 0x00007f83d4011830, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d27b95c0, ), ), serializer: Model( ModelSerializer { class: Py( 0x0000562906c1da80, ), serializer: Fields( GeneralFieldsSerializer { fields: { "reserved_store": SerField { key_py: Py( 0x00007f83d27ae5f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "memory": SerField { key_py: Py( 0x00007f83d29ca730, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "store": SerField { key_py: Py( 0x00007f83d65f0480, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "accounts": SerField { key_py: Py( 0x00007f83d27ae770, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "reserved_memory": SerField { key_py: Py( 0x00007f83d27ae670, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "api": SerField { key_py: Py( 0x00007f83d40464f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d27b3b00, ), ), serializer: Model( ModelSerializer { class: Py( 0x0000562906c1b3f0, ), serializer: Fields( GeneralFieldsSerializer { fields: { "errors": SerField { key_py: Py( 0x00007f83d701e480, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "total": SerField { key_py: Py( 0x00007f83d656e520, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "inflight": SerField { key_py: Py( 0x00007f83d27ae730, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), 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: "JetstreamApiStats", }, ), }, ), ), required: true, }, "ha_assets": SerField { key_py: Py( 0x00007f83d27ae6f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 7, }, ), has_extra: false, root_model: false, name: "JetstreamStats", }, ), }, ), ), required: true, }, "meta": SerField { key_py: Py( 0x00007f83d6534c00, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d27af480, ), ), serializer: Model( ModelSerializer { class: Py( 0x0000562906c16290, ), serializer: Fields( GeneralFieldsSerializer { fields: { "cluster_size": SerField { key_py: Py( 0x00007f83d27b17f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "leader": SerField { key_py: Py( 0x00007f83d29ca400, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "name": SerField { key_py: Py( 0x00007f83d7020368, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), 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: "MetaClusterInfo", }, ), }, ), ), 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: "Jetstream", }, ), }, ), ), required: true, }, "max_connections": SerField { key_py: Py( 0x00007f83d27ae4f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "ping_interval": SerField { key_py: Py( 0x00007f83d27ae330, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "port": SerField { key_py: Py( 0x00007f83d604de00, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "config_load_time": SerField { key_py: Py( 0x00007f83d27b8bb0, ), alias: None, alias_py: None, serializer: Some( Datetime( DatetimeSerializer, ), ), required: true, }, "subscriptions": SerField { key_py: Py( 0x00007f83d3299e70, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "system_account": SerField { key_py: Py( 0x00007f83d27ae1f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "server_id": SerField { key_py: Py( 0x00007f83d27ae2b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "write_deadline": SerField { key_py: Py( 0x00007f83d27ae130, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "http_base_path": SerField { key_py: Py( 0x00007f83d27b15b0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "connections": SerField { key_py: Py( 0x00007f83d3a59f70, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "mem": SerField { key_py: Py( 0x00007f83d43fdb90, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "total_connections": SerField { key_py: Py( 0x00007f83d27ae170, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "in_bytes": SerField { key_py: Py( 0x00007f83d27b16f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "host": SerField { key_py: Py( 0x00007f83d604dda0, ), alias: None, alias_py: None, serializer: Some( Str( StrSerializer, ), ), required: true, }, "cluster": SerField { key_py: Py( 0x00007f83d366eb50, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d27ae8c0, ), ), serializer: Model( ModelSerializer { class: Py( 0x0000562906befc40, ), serializer: Fields( GeneralFieldsSerializer { fields: { "auth_timeout": SerField { key_py: Py( 0x00007f83d27c4df0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "cluster_port": SerField { key_py: Py( 0x00007f83d27c4db0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "addr": SerField { key_py: Py( 0x00007f83d6049d70, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d6f2d0e0, ), ), serializer: Nullable( NullableSerializer { serializer: Str( StrSerializer, ), }, ), }, ), ), required: true, }, "name": SerField { key_py: Py( 0x00007f83d7020368, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "urls": SerField { key_py: Py( 0x00007f83d5777d20, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d27d3740, ), ), serializer: List( ListSerializer { item_serializer: Str( StrSerializer, ), filter: SchemaFilter { include: None, exclude: None, }, name: "list[str]", }, ), }, ), ), required: true, }, "tls_timeout": SerField { key_py: Py( 0x00007f83d27c4d30, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 6, }, ), has_extra: false, root_model: false, name: "Cluster", }, ), }, ), ), required: true, }, "git_commit": SerField { key_py: Py( 0x00007f83d27b1570, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "auth_timeout": SerField { key_py: Py( 0x00007f83d27c4df0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "http_req_stats": SerField { key_py: Py( 0x00007f83d27b1670, ), alias: None, alias_py: None, serializer: Some( Dict( DictSerializer { key_serializer: Str( StrSerializer, ), value_serializer: Int( IntSerializer, ), filter: SchemaFilter { include: None, exclude: None, }, name: "dict[str, int]", }, ), ), required: true, }, "leaf": SerField { key_py: Py( 0x00007f83d29ca820, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d28239c0, ), ), serializer: Model( ModelSerializer { class: Py( 0x0000562906c05350, ), serializer: Fields( GeneralFieldsSerializer { fields: { "host": SerField { key_py: Py( 0x00007f83d604dda0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7019b30, ), ), serializer: Str( StrSerializer, ), }, ), ), required: true, }, "auth_timeout": SerField { key_py: Py( 0x00007f83d27c4df0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "port": SerField { key_py: Py( 0x00007f83d604de00, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "tls_timeout": SerField { key_py: Py( 0x00007f83d27c4d30, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 4, }, ), has_extra: false, root_model: false, name: "LeafNode", }, ), }, ), ), required: true, }, "max_pending": SerField { key_py: Py( 0x00007f83d27ae3f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "out_msgs": SerField { key_py: Py( 0x00007f83d27ae370, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, "ping_max": SerField { key_py: Py( 0x00007f83d27ae2f0, ), alias: None, alias_py: None, serializer: Some( WithDefault( WithDefaultSerializer { default: Default( Py( 0x00007f83d7014828, ), ), serializer: Int( IntSerializer, ), }, ), ), required: true, }, }, computed_fields: Some( ComputedFields( [], ), ), mode: SimpleDict, extra_serializer: None, filter: SchemaFilter { include: None, exclude: None, }, required_fields: 46, }, ), has_extra: false, root_model: false, name: "Connection", }, ), definitions=[])[source]: The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__: ClassVar[SchemaValidator | PluggableSchemaValidator] = SchemaValidator(title="Connection", validator=Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "auth_timeout", lookup_key: Simple { key: "auth_timeout", py_key: Py( 0x00007f83d26a4af0, ), path: LookupPath( [ S( "auth_timeout", Py( 0x00007f83d26a4b70, ), ), ], ), }, name_py: Py( 0x00007f83d27c4df0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "cluster", lookup_key: Simple { key: "cluster", py_key: Py( 0x00007f83d29ca370, ), path: LookupPath( [ S( "cluster", Py( 0x00007f83d29ca850, ), ), ], ), }, name_py: Py( 0x00007f83d366eb50, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d27ae8c0, ), ), on_error: Raise, validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "addr", lookup_key: Simple { key: "addr", py_key: Py( 0x00007f83d2a0bd80, ), path: LookupPath( [ S( "addr", Py( 0x00007f83d2a0a580, ), ), ], ), }, name_py: Py( 0x00007f83d6049d70, ), 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: "auth_timeout", lookup_key: Simple { key: "auth_timeout", py_key: Py( 0x00007f83d26a4ab0, ), path: LookupPath( [ S( "auth_timeout", Py( 0x00007f83d26a4bf0, ), ), ], ), }, name_py: Py( 0x00007f83d27c4df0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "cluster_port", lookup_key: Simple { key: "cluster_port", py_key: Py( 0x00007f83d26a4a30, ), path: LookupPath( [ S( "cluster_port", Py( 0x00007f83d26a4b30, ), ), ], ), }, name_py: Py( 0x00007f83d27c4db0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "name", lookup_key: Simple { key: "name", py_key: Py( 0x00007f83d2a0bab0, ), path: LookupPath( [ S( "name", Py( 0x00007f83d29ca460, ), ), ], ), }, name_py: Py( 0x00007f83d7020368, ), 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: "tls_timeout", lookup_key: Simple { key: "tls_timeout", py_key: Py( 0x00007f83d26a49f0, ), path: LookupPath( [ S( "tls_timeout", Py( 0x00007f83d26a4970, ), ), ], ), }, name_py: Py( 0x00007f83d27c4d30, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "urls", lookup_key: Simple { key: "urls", py_key: Py( 0x00007f83d29ca5b0, ), path: LookupPath( [ S( "urls", Py( 0x00007f83d29ca430, ), ), ], ), }, name_py: Py( 0x00007f83d5777d20, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d27d3740, ), ), on_error: Raise, validator: List( ListValidator { strict: false, item_validator: Some( Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), ), min_length: None, max_length: None, name: OnceLock( "list[str]", ), fail_fast: false, }, ), validate_default: false, copy_default: true, name: "default[list[str]]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "Cluster", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562906befc40, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "Cluster", }, ), validate_default: false, copy_default: true, name: "default[Cluster]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "config_load_time", lookup_key: Simple { key: "config_load_time", py_key: Py( 0x00007f83d26a4a70, ), path: LookupPath( [ S( "config_load_time", Py( 0x00007f83d26a4930, ), ), ], ), }, name_py: Py( 0x00007f83d27b8bb0, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "connections", lookup_key: Simple { key: "connections", py_key: Py( 0x00007f83d26a48b0, ), path: LookupPath( [ S( "connections", Py( 0x00007f83d26a49b0, ), ), ], ), }, name_py: Py( 0x00007f83d3a59f70, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "cores", lookup_key: Simple { key: "cores", py_key: Py( 0x00007f83d29ca490, ), path: LookupPath( [ S( "cores", Py( 0x00007f83d29ca5e0, ), ), ], ), }, name_py: Py( 0x00007f83d2a11d70, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "cpu", lookup_key: Simple { key: "cpu", py_key: Py( 0x00007f83d2a15b90, ), path: LookupPath( [ S( "cpu", Py( 0x00007f83d2a15b00, ), ), ], ), }, name_py: Py( 0x00007f83d2a11e00, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d342aaf0, ), ), on_error: Raise, validator: Float( FloatValidator { strict: false, allow_inf_nan: true, }, ), validate_default: false, copy_default: false, name: "default[float]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "gateway", lookup_key: Simple { key: "gateway", py_key: Py( 0x00007f83d2a15f80, ), path: LookupPath( [ S( "gateway", Py( 0x00007f83d2a15fb0, ), ), ], ), }, name_py: Py( 0x00007f83d3695950, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d27af880, ), ), on_error: Raise, validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "auth_timeout", lookup_key: Simple { key: "auth_timeout", py_key: Py( 0x00007f83d26a4870, ), path: LookupPath( [ S( "auth_timeout", Py( 0x00007f83d26a47f0, ), ), ], ), }, name_py: Py( 0x00007f83d27c4df0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "host", lookup_key: Simple { key: "host", py_key: Py( 0x00007f83d2a15e90, ), path: LookupPath( [ S( "host", Py( 0x00007f83d2a15b30, ), ), ], ), }, name_py: Py( 0x00007f83d604dda0, ), 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: "name", lookup_key: Simple { key: "name", py_key: Py( 0x00007f83d2a15ec0, ), path: LookupPath( [ S( "name", Py( 0x00007f83d2a15ef0, ), ), ], ), }, name_py: Py( 0x00007f83d7020368, ), 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: "port", lookup_key: Simple { key: "port", py_key: Py( 0x00007f83d2a15f20, ), path: LookupPath( [ S( "port", Py( 0x00007f83d2a15f50, ), ), ], ), }, name_py: Py( 0x00007f83d604de00, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "tls_timeout", lookup_key: Simple { key: "tls_timeout", py_key: Py( 0x00007f83d26a48f0, ), path: LookupPath( [ S( "tls_timeout", Py( 0x00007f83d26a47b0, ), ), ], ), }, name_py: Py( 0x00007f83d27c4d30, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "Gateway", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562906bf8790, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "Gateway", }, ), validate_default: false, copy_default: true, name: "default[Gateway]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "git_commit", lookup_key: Simple { key: "git_commit", py_key: Py( 0x00007f83d26a4730, ), path: LookupPath( [ S( "git_commit", Py( 0x00007f83d26a4830, ), ), ], ), }, name_py: Py( 0x00007f83d27b1570, ), 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: "go", lookup_key: Simple { key: "go", py_key: Py( 0x00007f83d2a15fe0, ), path: LookupPath( [ S( "go", Py( 0x00007f83d2a16010, ), ), ], ), }, name_py: Py( 0x00007f83d5ea0540, ), 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: "gomaxprocs", lookup_key: Simple { key: "gomaxprocs", py_key: Py( 0x00007f83d26a46b0, ), path: LookupPath( [ S( "gomaxprocs", Py( 0x00007f83d26a46f0, ), ), ], ), }, name_py: Py( 0x00007f83d27b8b70, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "host", lookup_key: Simple { key: "host", py_key: Py( 0x00007f83d2a16040, ), path: LookupPath( [ S( "host", Py( 0x00007f83d2a16070, ), ), ], ), }, name_py: Py( 0x00007f83d604dda0, ), validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), frozen: false, }, Field { name: "http_base_path", lookup_key: Simple { key: "http_base_path", py_key: Py( 0x00007f83d26a4770, ), path: LookupPath( [ S( "http_base_path", Py( 0x00007f83d26a4670, ), ), ], ), }, name_py: Py( 0x00007f83d27b15b0, ), 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: "http_host", lookup_key: Simple { key: "http_host", py_key: Py( 0x00007f83d26a45f0, ), path: LookupPath( [ S( "http_host", Py( 0x00007f83d26a45b0, ), ), ], ), }, name_py: Py( 0x00007f83d27b15f0, ), 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: "http_port", lookup_key: Simple { key: "http_port", py_key: Py( 0x00007f83d26a4530, ), path: LookupPath( [ S( "http_port", Py( 0x00007f83d26a4630, ), ), ], ), }, name_py: Py( 0x00007f83d27b1630, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "http_req_stats", lookup_key: Simple { key: "http_req_stats", py_key: Py( 0x00007f83d26a44f0, ), path: LookupPath( [ S( "http_req_stats", Py( 0x00007f83d26a4470, ), ), ], ), }, name_py: Py( 0x00007f83d27b1670, ), validator: Dict( DictValidator { strict: false, key_validator: Str( StrValidator { strict: false, coerce_numbers_to_str: false, }, ), value_validator: Int( IntValidator { strict: false, }, ), min_length: None, max_length: None, name: "dict[str,int]", }, ), frozen: false, }, Field { name: "https_port", lookup_key: Simple { key: "https_port", py_key: Py( 0x00007f83d26a4570, ), path: LookupPath( [ S( "https_port", Py( 0x00007f83d26a4430, ), ), ], ), }, name_py: Py( 0x00007f83d27b16b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "in_bytes", lookup_key: Simple { key: "in_bytes", py_key: Py( 0x00007f83d26a43b0, ), path: LookupPath( [ S( "in_bytes", Py( 0x00007f83d26a44b0, ), ), ], ), }, name_py: Py( 0x00007f83d27b16f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "in_msgs", lookup_key: Simple { key: "in_msgs", py_key: Py( 0x00007f83d2a160a0, ), path: LookupPath( [ S( "in_msgs", Py( 0x00007f83d2a160d0, ), ), ], ), }, name_py: Py( 0x00007f83d2a120d0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "jetstream", lookup_key: Simple { key: "jetstream", py_key: Py( 0x00007f83d2734030, ), path: LookupPath( [ S( "jetstream", Py( 0x00007f83d2734070, ), ), ], ), }, name_py: Py( 0x00007f83d31a7e70, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d275e640, ), ), on_error: Raise, validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "config", lookup_key: Simple { key: "config", py_key: Py( 0x00007f83d2a16160, ), path: LookupPath( [ S( "config", Py( 0x00007f83d2a16190, ), ), ], ), }, name_py: Py( 0x00007f83d693f7b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d275ec00, ), ), on_error: Raise, validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "domain", lookup_key: Simple { key: "domain", py_key: Py( 0x00007f83d2a16100, ), path: LookupPath( [ S( "domain", Py( 0x00007f83d2a16130, ), ), ], ), }, name_py: Py( 0x00007f83d65f2730, ), 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: "max_memory", lookup_key: Simple { key: "max_memory", py_key: Py( 0x00007f83d26a4370, ), path: LookupPath( [ S( "max_memory", Py( 0x00007f83d26a42f0, ), ), ], ), }, name_py: Py( 0x00007f83d27b1730, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "max_storage", lookup_key: Simple { key: "max_storage", py_key: Py( 0x00007f83d26a43f0, ), path: LookupPath( [ S( "max_storage", Py( 0x00007f83d26a42b0, ), ), ], ), }, name_py: Py( 0x00007f83d27b1770, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "store_dir", lookup_key: Simple { key: "store_dir", py_key: Py( 0x00007f83d26a4230, ), path: LookupPath( [ S( "store_dir", Py( 0x00007f83d26a4330, ), ), ], ), }, name_py: Py( 0x00007f83d27b17b0, ), 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, }, ], model_name: "JetstreamConfig", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562906c0dcb0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "JetstreamConfig", }, ), validate_default: false, copy_default: true, name: "default[JetstreamConfig]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "meta", lookup_key: Simple { key: "meta", py_key: Py( 0x00007f83d2a16280, ), path: LookupPath( [ S( "meta", Py( 0x00007f83d2a162b0, ), ), ], ), }, name_py: Py( 0x00007f83d6534c00, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d27af480, ), ), on_error: Raise, validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "cluster_size", lookup_key: Simple { key: "cluster_size", py_key: Py( 0x00007f83d26a41f0, ), path: LookupPath( [ S( "cluster_size", Py( 0x00007f83d26a4170, ), ), ], ), }, name_py: Py( 0x00007f83d27b17f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "leader", lookup_key: Simple { key: "leader", py_key: Py( 0x00007f83d2a161c0, ), path: LookupPath( [ S( "leader", Py( 0x00007f83d2a161f0, ), ), ], ), }, name_py: Py( 0x00007f83d29ca400, ), 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: "name", lookup_key: Simple { key: "name", py_key: Py( 0x00007f83d2a16220, ), path: LookupPath( [ S( "name", Py( 0x00007f83d2a16250, ), ), ], ), }, name_py: Py( 0x00007f83d7020368, ), 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, }, ], model_name: "MetaClusterInfo", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562906c16290, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "MetaClusterInfo", }, ), validate_default: false, copy_default: true, name: "default[MetaClusterInfo]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "stats", lookup_key: Simple { key: "stats", py_key: Py( 0x00007f83d2a164c0, ), path: LookupPath( [ S( "stats", Py( 0x00007f83d2a164f0, ), ), ], ), }, name_py: Py( 0x00007f83d4011830, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d27b95c0, ), ), on_error: Raise, validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "accounts", lookup_key: Simple { key: "accounts", py_key: Py( 0x00007f83d26a4270, ), path: LookupPath( [ S( "accounts", Py( 0x00007f83d26a4130, ), ), ], ), }, name_py: Py( 0x00007f83d27ae770, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "api", lookup_key: Simple { key: "api", py_key: Py( 0x00007f83d2a163a0, ), path: LookupPath( [ S( "api", Py( 0x00007f83d2a163d0, ), ), ], ), }, name_py: Py( 0x00007f83d40464f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d27b3b00, ), ), on_error: Raise, validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "errors", lookup_key: Simple { key: "errors", py_key: Py( 0x00007f83d2a162e0, ), path: LookupPath( [ S( "errors", Py( 0x00007f83d2a16310, ), ), ], ), }, name_py: Py( 0x00007f83d701e480, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "inflight", lookup_key: Simple { key: "inflight", py_key: Py( 0x00007f83d26a40b0, ), path: LookupPath( [ S( "inflight", Py( 0x00007f83d26a41b0, ), ), ], ), }, name_py: Py( 0x00007f83d27ae730, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "total", lookup_key: Simple { key: "total", py_key: Py( 0x00007f83d2a16340, ), path: LookupPath( [ S( "total", Py( 0x00007f83d2a16370, ), ), ], ), }, name_py: Py( 0x00007f83d656e520, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "JetstreamApiStats", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562906c1b3f0, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "JetstreamApiStats", }, ), validate_default: false, copy_default: true, name: "default[JetstreamApiStats]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "ha_assets", lookup_key: Simple { key: "ha_assets", py_key: Py( 0x00007f83d26a4070, ), path: LookupPath( [ S( "ha_assets", Py( 0x00007f83d26a40f0, ), ), ], ), }, name_py: Py( 0x00007f83d27ae6f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "memory", lookup_key: Simple { key: "memory", py_key: Py( 0x00007f83d2a16400, ), path: LookupPath( [ S( "memory", Py( 0x00007f83d2a16430, ), ), ], ), }, name_py: Py( 0x00007f83d29ca730, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "reserved_memory", lookup_key: Simple { key: "reserved_memory", py_key: Py( 0x00007f83d26a4030, ), path: LookupPath( [ S( "reserved_memory", Py( 0x00007f83d27b9af0, ), ), ], ), }, name_py: Py( 0x00007f83d27ae670, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "reserved_store", lookup_key: Simple { key: "reserved_store", py_key: Py( 0x00007f83d27b9db0, ), path: LookupPath( [ S( "reserved_store", Py( 0x00007f83d27adab0, ), ), ], ), }, name_py: Py( 0x00007f83d27ae5f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "store", lookup_key: Simple { key: "store", py_key: Py( 0x00007f83d2a16460, ), path: LookupPath( [ S( "store", Py( 0x00007f83d2a16490, ), ), ], ), }, name_py: Py( 0x00007f83d65f0480, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "JetstreamStats", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562906c1da80, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "JetstreamStats", }, ), validate_default: false, copy_default: true, name: "default[JetstreamStats]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "Jetstream", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562906c18790, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "Jetstream", }, ), validate_default: false, copy_default: true, name: "default[Jetstream]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "leaf", lookup_key: Simple { key: "leaf", py_key: Py( 0x00007f83d2a165e0, ), path: LookupPath( [ S( "leaf", Py( 0x00007f83d2a16610, ), ), ], ), }, name_py: Py( 0x00007f83d29ca820, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d28239c0, ), ), on_error: Raise, validator: Model( ModelValidator { revalidate: Never, validator: ModelFields( ModelFieldsValidator { fields: [ Field { name: "auth_timeout", lookup_key: Simple { key: "auth_timeout", py_key: Py( 0x00007f83d27341b0, ), path: LookupPath( [ S( "auth_timeout", Py( 0x00007f83d2734170, ), ), ], ), }, name_py: Py( 0x00007f83d27c4df0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "host", lookup_key: Simple { key: "host", py_key: Py( 0x00007f83d2a16520, ), path: LookupPath( [ S( "host", Py( 0x00007f83d2a16550, ), ), ], ), }, name_py: Py( 0x00007f83d604dda0, ), 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: "port", lookup_key: Simple { key: "port", py_key: Py( 0x00007f83d2a16580, ), path: LookupPath( [ S( "port", Py( 0x00007f83d2a165b0, ), ), ], ), }, name_py: Py( 0x00007f83d604de00, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "tls_timeout", lookup_key: Simple { key: "tls_timeout", py_key: Py( 0x00007f83d27340b0, ), path: LookupPath( [ S( "tls_timeout", Py( 0x00007f83d2734130, ), ), ], ), }, name_py: Py( 0x00007f83d27c4d30, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "LeafNode", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562906c05350, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "LeafNode", }, ), validate_default: false, copy_default: true, name: "default[LeafNode]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "leafnodes", lookup_key: Simple { key: "leafnodes", py_key: Py( 0x00007f83d2734230, ), path: LookupPath( [ S( "leafnodes", Py( 0x00007f83d2734430, ), ), ], ), }, name_py: Py( 0x00007f83d27ae530, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "max_connections", lookup_key: Simple { key: "max_connections", py_key: Py( 0x00007f83d27341f0, ), path: LookupPath( [ S( "max_connections", Py( 0x00007f83d27345b0, ), ), ], ), }, name_py: Py( 0x00007f83d27ae4f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "max_control_line", lookup_key: Simple { key: "max_control_line", py_key: Py( 0x00007f83d27342b0, ), path: LookupPath( [ S( "max_control_line", Py( 0x00007f83d27344f0, ), ), ], ), }, name_py: Py( 0x00007f83d27ae470, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "max_payload", lookup_key: Simple { key: "max_payload", py_key: Py( 0x00007f83d27343b0, ), path: LookupPath( [ S( "max_payload", Py( 0x00007f83d2734670, ), ), ], ), }, name_py: Py( 0x00007f83d27ae430, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "max_pending", lookup_key: Simple { key: "max_pending", py_key: Py( 0x00007f83d2734470, ), path: LookupPath( [ S( "max_pending", Py( 0x00007f83d27346f0, ), ), ], ), }, name_py: Py( 0x00007f83d27ae3f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "mem", lookup_key: Simple { key: "mem", py_key: Py( 0x00007f83d2a16640, ), path: LookupPath( [ S( "mem", Py( 0x00007f83d2a16670, ), ), ], ), }, name_py: Py( 0x00007f83d43fdb90, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "now", lookup_key: Simple { key: "now", py_key: Py( 0x00007f83d2a166a0, ), path: LookupPath( [ S( "now", Py( 0x00007f83d2a166d0, ), ), ], ), }, name_py: Py( 0x00007f83d5c193b0, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "out_bytes", lookup_key: Simple { key: "out_bytes", py_key: Py( 0x00007f83d2734370, ), path: LookupPath( [ S( "out_bytes", Py( 0x00007f83d27348b0, ), ), ], ), }, name_py: Py( 0x00007f83d27ae3b0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "out_msgs", lookup_key: Simple { key: "out_msgs", py_key: Py( 0x00007f83d27347b0, ), path: LookupPath( [ S( "out_msgs", Py( 0x00007f83d27342f0, ), ), ], ), }, name_py: Py( 0x00007f83d27ae370, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "ping_interval", lookup_key: Simple { key: "ping_interval", py_key: Py( 0x00007f83d2734970, ), path: LookupPath( [ S( "ping_interval", Py( 0x00007f83d2734870, ), ), ], ), }, name_py: Py( 0x00007f83d27ae330, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "ping_max", lookup_key: Simple { key: "ping_max", py_key: Py( 0x00007f83d2734b70, ), path: LookupPath( [ S( "ping_max", Py( 0x00007f83d27349f0, ), ), ], ), }, name_py: Py( 0x00007f83d27ae2f0, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "port", lookup_key: Simple { key: "port", py_key: Py( 0x00007f83d2a16700, ), path: LookupPath( [ S( "port", Py( 0x00007f83d2a16730, ), ), ], ), }, name_py: Py( 0x00007f83d604de00, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "proto", lookup_key: Simple { key: "proto", py_key: Py( 0x00007f83d2a16760, ), path: LookupPath( [ S( "proto", Py( 0x00007f83d2a16790, ), ), ], ), }, name_py: Py( 0x00007f83d7020fc8, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "remotes", lookup_key: Simple { key: "remotes", py_key: Py( 0x00007f83d2a167c0, ), path: LookupPath( [ S( "remotes", Py( 0x00007f83d2a167f0, ), ), ], ), }, name_py: Py( 0x00007f83d29caf10, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "routes", lookup_key: Simple { key: "routes", py_key: Py( 0x00007f83d2a16820, ), path: LookupPath( [ S( "routes", Py( 0x00007f83d2a16850, ), ), ], ), }, name_py: Py( 0x00007f83d29cb720, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "server_id", lookup_key: Simple { key: "server_id", py_key: Py( 0x00007f83d2734930, ), path: LookupPath( [ S( "server_id", Py( 0x00007f83d2734ab0, ), ), ], ), }, name_py: Py( 0x00007f83d27ae2b0, ), 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: "server_name", lookup_key: Simple { key: "server_name", py_key: Py( 0x00007f83d2737d30, ), path: LookupPath( [ S( "server_name", Py( 0x00007f83d27375f0, ), ), ], ), }, name_py: Py( 0x00007f83d27ae270, ), 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: "slow_consumers", lookup_key: Simple { key: "slow_consumers", py_key: Py( 0x00007f83d2734770, ), path: LookupPath( [ S( "slow_consumers", Py( 0x00007f83d2734a30, ), ), ], ), }, name_py: Py( 0x00007f83d27ae230, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "start", lookup_key: Simple { key: "start", py_key: Py( 0x00007f83d2a16880, ), path: LookupPath( [ S( "start", Py( 0x00007f83d2a168b0, ), ), ], ), }, name_py: Py( 0x00007f83d7021cc8, ), validator: Datetime( DateTimeValidator { strict: false, constraints: None, microseconds_precision: Truncate, }, ), frozen: false, }, Field { name: "subscriptions", lookup_key: Simple { key: "subscriptions", py_key: Py( 0x00007f83d2737a70, ), path: LookupPath( [ S( "subscriptions", Py( 0x00007f83d2734bb0, ), ), ], ), }, name_py: Py( 0x00007f83d3299e70, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "system_account", lookup_key: Simple { key: "system_account", py_key: Py( 0x00007f83d2734a70, ), path: LookupPath( [ S( "system_account", Py( 0x00007f83d2737770, ), ), ], ), }, name_py: Py( 0x00007f83d27ae1f0, ), 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: "tls_timeout", lookup_key: Simple { key: "tls_timeout", py_key: Py( 0x00007f83d27378b0, ), path: LookupPath( [ S( "tls_timeout", Py( 0x00007f83d2734c70, ), ), ], ), }, name_py: Py( 0x00007f83d27c4d30, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "total_connections", lookup_key: Simple { key: "total_connections", py_key: Py( 0x00007f83d2737e70, ), path: LookupPath( [ S( "total_connections", Py( 0x00007f83d27376f0, ), ), ], ), }, name_py: Py( 0x00007f83d27ae170, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, Field { name: "uptime", lookup_key: Simple { key: "uptime", py_key: Py( 0x00007f83d2a168e0, ), path: LookupPath( [ S( "uptime", Py( 0x00007f83d2a16910, ), ), ], ), }, name_py: Py( 0x00007f83d29cb1e0, ), 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: "version", lookup_key: Simple { key: "version", py_key: Py( 0x00007f83d2a16940, ), path: LookupPath( [ S( "version", Py( 0x00007f83d2a16970, ), ), ], ), }, name_py: Py( 0x00007f83d70227a8, ), 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: "write_deadline", lookup_key: Simple { key: "write_deadline", py_key: Py( 0x00007f83d27374f0, ), path: LookupPath( [ S( "write_deadline", Py( 0x00007f83d2734830, ), ), ], ), }, name_py: Py( 0x00007f83d27ae130, ), validator: WithDefault( WithDefaultValidator { default: Default( Py( 0x00007f83d7014828, ), ), on_error: Raise, validator: Int( IntValidator { strict: false, }, ), validate_default: false, copy_default: false, name: "default[int]", undefined: Py( 0x00007f83d4e0a330, ), }, ), frozen: false, }, ], model_name: "Connection", extra_behavior: Ignore, extras_validator: None, strict: false, from_attributes: false, loc_by_alias: true, }, ), class: Py( 0x0000562906c09b10, ), post_init: None, frozen: false, custom_init: false, root_model: false, undefined: Py( 0x00007f83d4e0a330, ), name: "Connection", }, ), 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 (*, auth_timeout: int = 0, cluster: kittycad.models.cluster.Cluster = {'addr': None, 'auth_timeout': 0, 'cluster_port': 0, 'name': '', 'tls_timeout': 0, 'urls': []}, config_load_time: datetime.datetime, connections: int = 0, cores: int = 0, cpu: float = 0.0, gateway: kittycad.models.gateway.Gateway = {'auth_timeout': 0, 'host': '', 'name': '', 'port': 0, 'tls_timeout': 0}, git_commit: str = '', go: str = '', gomaxprocs: int = 0, host: str, http_base_path: str = '', http_host: str = '', http_port: int = 0, http_req_stats: Dict[str, int], https_port: int = 0, in_bytes: int = 0, in_msgs: int = 0, jetstream: kittycad.models.jetstream.Jetstream = {'config': {'domain': '', 'max_memory': 0, 'max_storage': 0, 'store_dir': ''}, 'meta': {'cluster_size': 0, 'leader': '', 'name': ''}, 'stats': {'accounts': 0, 'api': {'errors': 0, 'inflight': 0, 'total': 0}, 'ha_assets': 0, 'memory': 0, 'reserved_memory': 0, 'reserved_store': 0, 'store': 0}}, leaf: kittycad.models.leaf_node.LeafNode = {'auth_timeout': 0, 'host': '', 'port': 0, 'tls_timeout': 0}, leafnodes: int = 0, max_connections: int = 0, max_control_line: int = 0, max_payload: int = 0, max_pending: int = 0, mem: int = 0, now: datetime.datetime, out_bytes: int = 0, out_msgs: int = 0, ping_interval: int = 0, ping_max: int = 0, port: int = 0, proto: int = 0, remotes: int = 0, routes: int = 0, server_id: str = '', server_name: str = '', slow_consumers: int = 0, start: datetime.datetime, subscriptions: int = 0, system_account: str = '', tls_timeout: int = 0, total_connections: int = 0, uptime: str = '', version: str = '', write_deadline: int = 0) -> 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

auth_timeout: int[source]

cluster: Cluster[source]

config_load_time: datetime[source]

connections: int[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.

cores: int[source]

cpu: float[source]

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

Return type:: Dict[str, Any]

classmethod from_orm(obj)[source]

Return type:: Self

gateway: Gateway[source]

git_commit: str[source]

go: str[source]

gomaxprocs: int[source]

host: str[source]

http_base_path: str[source]

http_host: str[source]

http_port: int[source]

http_req_stats: Dict[str, int][source]

https_port: int[source]

in_bytes: int[source]

in_msgs: int[source]

jetstream: Jetstream[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

leaf: LeafNode[source]

leafnodes: int[source]

max_connections: int[source]

max_control_line: int[source]

max_payload: int[source]

max_pending: int[source]

mem: 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]] = {'auth_timeout': FieldInfo(annotation=int, required=False, default=0), 'cluster': FieldInfo(annotation=Cluster, required=False, default={'addr': None, 'auth_timeout': 0, 'cluster_port': 0, 'name': '', 'tls_timeout': 0, 'urls': []}), 'config_load_time': FieldInfo(annotation=datetime, required=True), 'connections': FieldInfo(annotation=int, required=False, default=0), 'cores': FieldInfo(annotation=int, required=False, default=0), 'cpu': FieldInfo(annotation=float, required=False, default=0.0), 'gateway': FieldInfo(annotation=Gateway, required=False, default={'auth_timeout': 0, 'host': '', 'name': '', 'port': 0, 'tls_timeout': 0}), 'git_commit': FieldInfo(annotation=str, required=False, default=''), 'go': FieldInfo(annotation=str, required=False, default=''), 'gomaxprocs': FieldInfo(annotation=int, required=False, default=0), 'host': FieldInfo(annotation=str, required=True), 'http_base_path': FieldInfo(annotation=str, required=False, default=''), 'http_host': FieldInfo(annotation=str, required=False, default=''), 'http_port': FieldInfo(annotation=int, required=False, default=0), 'http_req_stats': FieldInfo(annotation=Dict[str, int], required=True), 'https_port': FieldInfo(annotation=int, required=False, default=0), 'in_bytes': FieldInfo(annotation=int, required=False, default=0), 'in_msgs': FieldInfo(annotation=int, required=False, default=0), 'jetstream': FieldInfo(annotation=Jetstream, required=False, default={'config': {'domain': '', 'max_memory': 0, 'max_storage': 0, 'store_dir': ''}, 'meta': {'cluster_size': 0, 'leader': '', 'name': ''}, 'stats': {'accounts': 0, 'api': {'errors': 0, 'inflight': 0, 'total': 0}, 'ha_assets': 0, 'memory': 0, 'reserved_memory': 0, 'reserved_store': 0, 'store': 0}}), 'leaf': FieldInfo(annotation=LeafNode, required=False, default={'auth_timeout': 0, 'host': '', 'port': 0, 'tls_timeout': 0}), 'leafnodes': FieldInfo(annotation=int, required=False, default=0), 'max_connections': FieldInfo(annotation=int, required=False, default=0), 'max_control_line': FieldInfo(annotation=int, required=False, default=0), 'max_payload': FieldInfo(annotation=int, required=False, default=0), 'max_pending': FieldInfo(annotation=int, required=False, default=0), 'mem': FieldInfo(annotation=int, required=False, default=0), 'now': FieldInfo(annotation=datetime, required=True), 'out_bytes': FieldInfo(annotation=int, required=False, default=0), 'out_msgs': FieldInfo(annotation=int, required=False, default=0), 'ping_interval': FieldInfo(annotation=int, required=False, default=0), 'ping_max': FieldInfo(annotation=int, required=False, default=0), 'port': FieldInfo(annotation=int, required=False, default=0), 'proto': FieldInfo(annotation=int, required=False, default=0), 'remotes': FieldInfo(annotation=int, required=False, default=0), 'routes': FieldInfo(annotation=int, required=False, default=0), 'server_id': FieldInfo(annotation=str, required=False, default=''), 'server_name': FieldInfo(annotation=str, required=False, default=''), 'slow_consumers': FieldInfo(annotation=int, required=False, default=0), 'start': FieldInfo(annotation=datetime, required=True), 'subscriptions': FieldInfo(annotation=int, required=False, default=0), 'system_account': FieldInfo(annotation=str, required=False, default=''), 'tls_timeout': FieldInfo(annotation=int, required=False, default=0), 'total_connections': FieldInfo(annotation=int, required=False, default=0), 'uptime': FieldInfo(annotation=str, required=False, default=''), 'version': FieldInfo(annotation=str, required=False, default=''), 'write_deadline': FieldInfo(annotation=int, required=False, default=0)}[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: