ObservationData

Module: iqm.station_control.interface.models.observation

class ObservationData(*, dut_field, value, unit, uncertainty=None, invalid=False, dut_label, source, tags=[], observation_id, created_timestamp, modified_timestamp, observation_set_ids=[])

Bases: ObservationLite, ObservationDefinition

The content of the observation 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.

Attributes

model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
observation_set_ids	List of observation set UUIDs this observation belongs to.
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_label	DUT label of the device the observation is about.
source	How the observation was made, e.g. experiment analysis or manual specification.
tags	Human-readable tags of the observation.
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 observation is invalid.

Methods

from_observation_lite

Create an observation data from an observation lite, using placeholder values for the missing fields.

Parameters:

• dut_field (str)

• value (Annotated[bool | str | int | float | complex | ndarray, PlainValidator(func=~exa.common.data.value.validate_value, json_schema_input_type=~typing.Any), PlainSerializer(func=~exa.common.data.value.serialize_value, return_type=PydanticUndefined, when_used=always), WithJsonSchema(json_schema={}, mode=None)])

• unit (str)

• uncertainty (Annotated[int | float | complex | ndarray, PlainValidator(func=~exa.common.data.value.validate_value, json_schema_input_type=~typing.Any), PlainSerializer(func=~exa.common.data.value.serialize_value, return_type=PydanticUndefined, when_used=always), WithJsonSchema(json_schema={}, mode=None)] | None)

• invalid (bool)

• dut_label (str)

• source (dict[str, Any])

• tags (list[str])

• observation_id (int)

• created_timestamp (datetime)

• modified_timestamp (datetime)

• observation_set_ids (list[UUID])

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].

observation_set_ids: list[UUID]

List of observation set UUIDs this observation belongs to.

classmethod from_observation_lite(observation, dut_label=None)

Create an observation data from an observation lite, using placeholder values for the missing fields.

Parameters:

• observation (ObservationLite) – Lightweight observation to convert.

• dut_label (str | None) – DUT label of the device the observation is about. A placeholder is used if not given.

Returns:

Observation data corresponding to observation, with placeholder dut_label, source and tags if not otherwise derivable from observation.

Return type:

ObservationData

Inheritance