tidy3d.web.core.task_info.TaskInfo#

class tidy3d.web.core.task_info.TaskInfo(*, taskId: str, taskName: str = None, nodeSize: int = None, completedAt: Optional[datetime.datetime] = None, status: str = None, realCost: float = None, timeSteps: int = None, solverVersion: str = None, createAt: Optional[datetime.datetime] = None, estCostMin: float = None, estCostMax: float = None, realFlexUnit: float = None, oriRealFlexUnit: float = None, estFlexUnit: float = None, estFlexCreditTimeStepping: float = None, estFlexCreditPostProcess: float = None, estFlexCreditMode: float = None, s3Storage: float = None, startSolverTime: Optional[datetime.datetime] = None, finishSolverTime: Optional[datetime.datetime] = None, totalSolverTime: int = None, callbackUrl: str = None, taskType: str = None, metadataStatus: str = None, taskBlockInfo: tidy3d.web.core.task_info.TaskBlockInfo = None)#

Bases: tidy3d.web.core.task_info.TaskBase

General information about task.

__init__(**data: Any) → None#

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

Raises ValidationError if the input data cannot be parsed to form a valid model.

Methods

`__init__`(**data)	Create a new model by parsing and validating input data from keyword arguments.
`construct`([_fields_set])	Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
`copy`(*[, include, exclude, update, deep])	Duplicate a model, optionally choose which fields to include, exclude and change.
`dict`(*[, include, exclude, by_alias, ...])	Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
`from_orm`(obj)
`json`(*[, include, exclude, by_alias, ...])	Generate a JSON representation of the model, include and exclude arguments as per dict().
`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)	Try to update ForwardRefs on fields based on this Model, globalns and localns.
`validate`(value)

Attributes

`taskId`
`taskName`
`nodeSize`
`completedAt`
`status`
`realCost`
`timeSteps`
`solverVersion`
`createAt`
`estCostMin`
`estCostMax`
`realFlexUnit`
`oriRealFlexUnit`
`estFlexUnit`
`estFlexCreditTimeStepping`
`estFlexCreditPostProcess`
`estFlexCreditMode`
`s3Storage`
`startSolverTime`
`finishSolverTime`
`totalSolverTime`
`callbackUrl`
`taskType`
`metadataStatus`
`taskBlockInfo`

class Config#

Bases: object

configure class

__iter__() → TupleGenerator#: so dict(model) works

__pretty__(fmt: Callable[[Any], Any], **kwargs: Any) → Generator[Any, None, None]#: Used by devtools (https://python-devtools.helpmanual.io/) to provide a human readable representations of objects

__repr_name__() → str#: Name of the instance’s class, used in __repr__.

__rich_repr__() → RichReprResult#: Get fields for Rich library

classmethod __try_update_forward_refs__(**localns: Any) → None#: Same as update_forward_refs but will not raise exception when forward references are not defined.

classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model#: Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ‘allow’ was set since it adds all passed values

copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model#

Duplicate a model, optionally choose which fields to include, exclude and change.

Parameters

include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – 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 – set to True to make a deep copy of the model

Returns

new model instance

dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → DictStrAny#: Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Optional[Callable[[Any], Any]] = None, models_as_dict: bool = True, **dumps_kwargs: Any) → str#

Generate a JSON representation of the model, include and exclude arguments as per dict().

encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().

classmethod update_forward_refs(**localns: Any) → None#: Try to update ForwardRefs on fields based on this Model, globalns and localns.