ObservationLite

class ObservationLite(*, dut_field, value, unit, uncertainty=None, invalid=False, observation_id, created_timestamp, modified_timestamp)

Bases: ObservationBase

The lightweight version of the observation data.

This model can be used when not all observation data is needed, to speed up retrieval.

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.

Module: iqm.station_control.interface.models.observation

Attributes

model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
observation_id	Unique identifier of the observation.
created_timestamp	Time when the object was created in the database.
modified_timestamp	Time when the object was last modified in the database.
dut_field	Name of the property the observation is about.
value	Value of the observation.
unit	SI unit of the value.
uncertainty	Uncertainty of the observation value.
invalid	Flag indicating if the object is invalid.

Methods

Parameters:

• dut_field (str) –

• value (bool | str | int | float | complex | ndarray) –

• unit (str) –

• uncertainty (int | float | complex | ndarray | None) –

• invalid (bool) –

• observation_id (int) –

• created_timestamp (datetime) –

• modified_timestamp (datetime) –

observation_id: int

Unique identifier of the observation.

model_config: ClassVar[ConfigDict] = {'extra': 'ignore', 'ser_json_inf_nan': 'constants', 'validate_assignment': True, 'validate_default': True}

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

created_timestamp: datetime

Time when the object was created in the database.

modified_timestamp: datetime

Time when the object was last modified in the database.