Module aivis_engine_v2_sd_sdk_python.dto

Classes

class DtoSegmentFloatValue (segment_id: int, value: float)

Tuple containing an ID and a float value. DTO class for output of the segment specific score.

Instance variables

var segment_id

Segment ID of this SegmentFloatValue

var value

Floating point value of this SegmentFloatValue

class DtoSegmentFloatValueWithNextNormal (segment_id: int, value: float, next_normal_value: float, features: List[DtoFeatureValueWithNextNormal])

Triple containing an ID, a float value, and a list of FeatureValueWithNextNormal. DTO class for enhanced output of the segment specific score.

Instance variables

var features

Next normal feature values and rating of underlying features

var next_normal_value

Segment score of the next normal feature values

var segment_id

Segment ID

var value

Segment score

class DtoSegmentsFloatDataPoint (timestamp: int, values: List[DtoSegmentFloatValue])

Single data point consisting of a timestamp and a list of DtoSegmentFloatValue. DTO class for results from all segments pertaining to a specific timestamp

Instance variables

var timestamp

Timestamp of this data point.

var values

SegmentFloatValues of this data point.

class DtoSegmentsFloatDataPointWithNextNormal (timestamp: int, values_with_next_normal: List[DtoSegmentFloatValueWithNextNormal])

Single data point consisting of a timestamp and a list of DtoSegmentFloatValueWithNextNormal. DTO class for results from all segments pertaining to a specific timestamp

Instance variables

var timestamp

Timestamp of this data point.

var values_with_next_normal

List of SegmentFloatValueWithNextNormal of this data point.

class DtoSignalTemperatures (signal_id: str, temperatures: List[DtoFloatDataPoint])

Temperatures for one signal at multiple times. An increase in temperature can be an indicator of an impending incident. DTO class for transferring signal temperatures from the engine.

Instance variables

var signal_id

Signal ID for these temperatures

var temperatures

Temperatures of this signal