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#!/usr/bin/env python
from typing import TypeVar
from dataclasses import dataclass, field
import math
from argaze import PupilFeatures
import numpy
@dataclass
class PupilDiameterAnalyzer(PupilFeatures.PupilDiameterAnalyzer):
"""Periodic average of pupil diameter variations to pupil diameter reference value."""
reference: PupilFeatures.PupilDiameter
""" """
period: int | float = field(default=1)
"""Identification period length."""
def __post_init__(self):
assert(self.reference.valid)
self.__variations_sum = 0.
self.__variations_number = 0
self.__last_ts = 0
def analyze(self, ts, pupil_diameter) -> float:
"""Analyze workload index from successive timestamped pupil diameters."""
# Ignore non valid pupil diameter
if not pupil_diameter.valid:
return None
if ts - self.__last_ts >= self.period:
if self.__variations_number > 0 and self.reference.value > 0.:
workload_index = (self.__variations_sum / self.__variations_number) / self.reference.value
else:
workload_index = 0.
self.__variations_sum = pupil_diameter.value - self.reference.value
self.__variations_number = 1
self.__last_ts = ts
return workload_index
else:
self.__variations_sum += pupil_diameter.value - self.reference.value
self.__variations_number += 1
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