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SensorStatisticsSummary

Source code in docs_src/capo_lookoutequipment/types/sensor_statistics_summary.py
class SensorStatisticsSummary(TypedDict, closed=True):
    component_name: NotRequired[
        "capo_lookoutequipment.types.component_name.ComponentName"
    ]
    """<p> Name of the component to which the particular sensor belongs for which the statistics belong to. </p>"""
    sensor_name: NotRequired["capo_lookoutequipment.types.sensor_name.SensorName"]
    """<p> Name of the sensor that the statistics belong to. </p>"""
    data_exists: "capo_lookoutequipment.types.boolean.Boolean"
    """<p> Parameter that indicates whether data exists for the sensor that the statistics belong to. </p>"""
    missing_values: NotRequired[
        "capo_lookoutequipment.types.count_percent.CountPercent"
    ]
    """<p> Parameter that describes the total number of, and percentage of, values that are missing for the sensor that the statistics belong to. </p>"""
    invalid_values: NotRequired[
        "capo_lookoutequipment.types.count_percent.CountPercent"
    ]
    """<p> Parameter that describes the total number of, and percentage of, values that are invalid for the sensor that the statistics belong to. </p>"""
    invalid_date_entries: NotRequired[
        "capo_lookoutequipment.types.count_percent.CountPercent"
    ]
    """<p> Parameter that describes the total number of invalid date entries associated with the sensor that the statistics belong to. </p>"""
    duplicate_timestamps: NotRequired[
        "capo_lookoutequipment.types.count_percent.CountPercent"
    ]
    """<p> Parameter that describes the total number of duplicate timestamp records associated with the sensor that the statistics belong to. </p>"""
    categorical_values: NotRequired[
        "capo_lookoutequipment.types.categorical_values.CategoricalValues"
    ]
    """<p> Parameter that describes potential risk about whether data associated with the sensor is categorical. </p>"""
    multiple_operating_modes: NotRequired[
        "capo_lookoutequipment.types.multiple_operating_modes.MultipleOperatingModes"
    ]
    """<p> Parameter that describes potential risk about whether data associated with the sensor has more than one operating mode. </p>"""
    large_timestamp_gaps: NotRequired[
        "capo_lookoutequipment.types.large_timestamp_gaps.LargeTimestampGaps"
    ]
    """<p> Parameter that describes potential risk about whether data associated with the sensor contains one or more large gaps between consecutive timestamps. </p>"""
    monotonic_values: NotRequired[
        "capo_lookoutequipment.types.monotonic_values.MonotonicValues"
    ]
    """<p> Parameter that describes potential risk about whether data associated with the sensor is mostly monotonic. </p>"""
    data_start_time: NotRequired["capo_lookoutequipment.types.timestamp.Timestamp"]
    """<p> Indicates the time reference to indicate the beginning of valid data associated with the sensor that the statistics belong to. </p>"""
    data_end_time: NotRequired["capo_lookoutequipment.types.timestamp.Timestamp"]
    """<p> Indicates the time reference to indicate the end of valid data associated with the sensor that the statistics belong to. </p>"""

categorical_values instance-attribute

categorical_values: NotRequired[CategoricalValues]

Parameter that describes potential risk about whether data associated with the sensor is categorical.

component_name instance-attribute

component_name: NotRequired[ComponentName]

Name of the component to which the particular sensor belongs for which the statistics belong to.

data_end_time instance-attribute

data_end_time: NotRequired[Timestamp]

Indicates the time reference to indicate the end of valid data associated with the sensor that the statistics belong to.

data_exists instance-attribute

data_exists: Boolean

Parameter that indicates whether data exists for the sensor that the statistics belong to.

data_start_time instance-attribute

data_start_time: NotRequired[Timestamp]

Indicates the time reference to indicate the beginning of valid data associated with the sensor that the statistics belong to.

duplicate_timestamps instance-attribute

duplicate_timestamps: NotRequired[CountPercent]

Parameter that describes the total number of duplicate timestamp records associated with the sensor that the statistics belong to.

invalid_date_entries instance-attribute

invalid_date_entries: NotRequired[CountPercent]

Parameter that describes the total number of invalid date entries associated with the sensor that the statistics belong to.

invalid_values instance-attribute

invalid_values: NotRequired[CountPercent]

Parameter that describes the total number of, and percentage of, values that are invalid for the sensor that the statistics belong to.

large_timestamp_gaps instance-attribute

large_timestamp_gaps: NotRequired[LargeTimestampGaps]

Parameter that describes potential risk about whether data associated with the sensor contains one or more large gaps between consecutive timestamps.

missing_values instance-attribute

missing_values: NotRequired[CountPercent]

Parameter that describes the total number of, and percentage of, values that are missing for the sensor that the statistics belong to.

monotonic_values instance-attribute

monotonic_values: NotRequired[MonotonicValues]

Parameter that describes potential risk about whether data associated with the sensor is mostly monotonic.

multiple_operating_modes instance-attribute

multiple_operating_modes: NotRequired[MultipleOperatingModes]

Parameter that describes potential risk about whether data associated with the sensor has more than one operating mode.

sensor_name instance-attribute

sensor_name: NotRequired[SensorName]

Name of the sensor that the statistics belong to.