ObservationSetWithObservations#
- class ObservationSetWithObservations(*, observation_set_type, observation_ids, describes_id=None, invalid=False, dut_label, observation_set_id, created_timestamp, end_timestamp, observations)#
Bases:
ObservationSetData
The content of the observation set stored in the database, with a list of observations.
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_set
Attributes
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
Observations belonging to the observation set.
dut_label
String representation of the DUT the observation set is associated with.
observation_set_id
Unique identifier of the observation set.
created_timestamp
Time when the object was created in the database.
end_timestamp
Time when the observation set was finalized.
observation_set_type
Indicates the type (i.e. purpose) of the observation set.
observation_ids
Database IDs of the observations belonging to the observation set.
describes_id
Unique identifier of the observation set this observation set describes.
invalid
Flag indicating if the object is invalid.
Methods
- Parameters:
observation_set_type (Literal['calibration-set', 'characterization-set', 'generic-set', 'quality-metric-set']) –
describes_id (UUID | None) –
invalid (bool) –
dut_label (str | None) –
observation_set_id (UUID) –
created_timestamp (datetime) –
end_timestamp (datetime | None) –
observations (list[ObservationLite]) –
- 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].
- observations: list[ObservationLite]#
Observations belonging to the observation set.