ObservationSetData#

class ObservationSetData(*, observation_set_type, observation_ids, describes_id=None, invalid=False, dut_label, observation_set_id, created_timestamp, end_timestamp)#

Bases: ObservationSetBase

The content of the observation set stored in the database.

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

model_config

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

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']) –

  • observation_ids (list[int]) –

  • describes_id (UUID | None) –

  • invalid (bool) –

  • dut_label (str | None) –

  • observation_set_id (UUID) –

  • created_timestamp (datetime) –

  • end_timestamp (datetime | None) –

dut_label: str | None#

String representation of the DUT the observation set is associated with. Can only be None for generic sets.

observation_set_id: UUID#

Unique identifier of the observation set.

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.

end_timestamp: datetime | None#

Time when the observation set was finalized. If None, the set is not finalized yet.