1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
|
#!/usr/bin/env python
""" """
__author__ = "Théo de la Hogue"
__credits__ = []
__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
__license__ = "BSD"
from typing import TypeVar
from dataclasses import dataclass, field
import json
from argaze import DataStructures
@dataclass(frozen=True)
class PupilDiameter():
"""Define pupil diameter as ..."""
value: float = field(default=0.)
"""Pupil diameter value."""
@property
def valid(self) -> bool:
"""Is the value not 0"""
return self.value != 0.
def __repr__(self):
"""String representation"""
return json.dumps(self, ensure_ascii = False, default=vars)
class UnvalidPupilDiameter(PupilDiameter):
"""Unvalid pupil diameter."""
def __init__(self, message=None):
self.message = message
super().__init__(0.)
TimeStampedPupilDiametersType = TypeVar('TimeStampedPupilDiameters', bound="TimeStampedPupilDiameters")
# Type definition for type annotation convenience
class TimeStampedPupilDiameters(DataStructures.TimeStampedBuffer):
"""Define timestamped buffer to store pupil diameters."""
def __setitem__(self, key, value: PupilDiameter|dict):
"""Force PupilDiameter storage."""
# Convert dict into PupilDiameter
if type(value) == dict:
assert(set(['value']).issubset(value.keys()))
if 'message' in value.keys():
value = UnvalidPupilDiameter(value['message'])
else:
value = PupilDiameter(value['value'])
assert(type(value) == PupilDiameter or type(value) == UnvalidPupilDiameter)
super().__setitem__(key, value)
@classmethod
def from_json(self, json_filepath: str) -> TimeStampedPupilDiametersType:
"""Create a TimeStampedPupilDiametersType from .json file."""
with open(json_filepath, encoding='utf-8') as ts_buffer_file:
json_buffer = json.load(ts_buffer_file)
return TimeStampedPupilDiameters({ast.literal_eval(ts_str): json_buffer[ts_str] for ts_str in json_buffer})
TimeStampedBufferType = TypeVar('TimeStampedBuffer', bound="TimeStampedBuffer")
# Type definition for type annotation convenience
class PupilDiameterAnalyzer():
"""Abstract class to define what should provide a pupil diameter analyser."""
def analyze(self, ts, pupil_diameter) -> float:
"""Analyze pupil diameter from successive timestamped pupil diameters."""
raise NotImplementedError('analyze() method not implemented')
def browse(self, ts_pupil_diameters: TimeStampedPupilDiameters) -> TimeStampedBufferType:
"""Analyze by browsing timestamped pupil diameters."""
assert(type(ts_pupil_diameters) == TimeStampedPupilDiameters)
ts_analyzis = DataStructures.TimeStampedBuffer()
# Iterate on pupil diameters
for ts, pupil_diameter in ts_pupil_diameters.items():
analysis = self.analyze(ts, pupil_diameter)
if analysis is not None:
ts_analyzis[ts] = analysis
return ts_analyzis
|
