[5ec3a0b] | 1 | import os |
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| 2 | from io import BytesIO |
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| 3 | from datetime import datetime, timedelta, timezone |
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| 4 | from decimal import Decimal |
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[53bb3e5] | 5 | from unittest.mock import patch, Mock |
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[5ec3a0b] | 6 | |
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| 7 | import pytest |
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[78af3d1] | 8 | from pyramid.security import Allow, Everyone, Deny, ALL_PERMISSIONS |
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[5ec3a0b] | 9 | |
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| 10 | from ow.models.workout import Workout |
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| 11 | from ow.models.user import User |
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| 12 | from ow.models.root import OpenWorkouts |
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[b73ae09] | 13 | from ow.utilities import create_blob |
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[5ec3a0b] | 14 | |
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[ceae158] | 15 | from ow.tests.helpers import join |
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| 16 | |
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[5ec3a0b] | 17 | |
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| 18 | class TestWorkoutModels(object): |
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| 19 | |
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| 20 | @pytest.fixture |
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| 21 | def root(self): |
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| 22 | root = OpenWorkouts() |
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| 23 | root['john'] = User(firstname='John', lastname='Doe', |
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| 24 | email='john.doe@example.net') |
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| 25 | root['john'].password = 's3cr3t' |
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| 26 | root['john']['1'] = Workout( |
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| 27 | start=datetime(2015, 6, 28, 12, 55, tzinfo=timezone.utc), |
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| 28 | duration=timedelta(minutes=60), |
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| 29 | distance=30 |
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| 30 | ) |
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| 31 | return root |
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| 32 | |
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| 33 | def test__acl__(self, root): |
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| 34 | # First check permissions for a workout without parent |
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| 35 | workout = Workout() |
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[78af3d1] | 36 | with pytest.raises(AttributeError): |
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| 37 | workout.__acl__() |
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[5ec3a0b] | 38 | # Now permissions on a workout that has been added to a user |
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| 39 | uid = str(root['john'].uid) |
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[78af3d1] | 40 | workout = root['john']['1'] |
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| 41 | permissions = [ |
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| 42 | (Allow, uid, 'view'), |
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| 43 | (Allow, uid, 'edit'), |
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| 44 | (Allow, uid, 'delete'), |
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| 45 | (Deny, Everyone, ALL_PERMISSIONS) |
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| 46 | ] |
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| 47 | assert workout.__acl__() == permissions |
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[5ec3a0b] | 48 | |
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| 49 | def test_runthrough(self, root): |
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| 50 | """ |
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| 51 | Just a simple run through to see if those objects click |
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| 52 | """ |
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| 53 | root['joe'] = User(firstname='Joe', lastname='Di Maggio') |
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| 54 | assert(u'Joe Di Maggio' == root['joe'].fullname) |
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| 55 | joe = root['joe'] |
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| 56 | start = datetime(2015, 6, 5, 19, 1, tzinfo=timezone.utc) |
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| 57 | duration = timedelta(minutes=20) |
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| 58 | distance = Decimal('0.25') # 250m |
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| 59 | w = Workout(start=start, duration=duration, sport='swimming', |
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| 60 | notes=u'Yay, I swam!', distance=distance) |
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| 61 | joe['1'] = w |
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| 62 | expected = datetime(2015, 6, 5, 19, 21, tzinfo=timezone.utc) |
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| 63 | assert expected == joe['1'].end |
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| 64 | assert 250 == joe['1'].distance * 1000 |
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| 65 | |
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| 66 | def test_workout_id(self, root): |
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| 67 | assert root['john']['1'].workout_id == '1' |
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| 68 | |
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[fe6089a] | 69 | def test_owner(self, root): |
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| 70 | # workout with owner |
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| 71 | assert root['john']['1'].owner == root['john'] |
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| 72 | # workout without owner |
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| 73 | w = Workout() |
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| 74 | assert w.owner is None |
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| 75 | |
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[5ec3a0b] | 76 | def test_end(self, root): |
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| 77 | # workout without duration, it has no end |
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| 78 | workout = Workout() |
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| 79 | assert workout.end is None |
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| 80 | # workout with duration, end is start_time + duration |
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| 81 | expected = datetime(2015, 6, 28, 13, 55, tzinfo=timezone.utc) |
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| 82 | assert root['john']['1'].end == expected |
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| 83 | |
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| 84 | def test_start_date(self): |
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| 85 | start_date = datetime.now() |
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| 86 | workout = Workout(start=start_date) |
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| 87 | assert workout.start_date == start_date.strftime('%d/%m/%Y') |
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| 88 | |
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| 89 | def test_start_time(self): |
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| 90 | start_date = datetime.now() |
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| 91 | workout = Workout(start=start_date) |
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| 92 | assert workout.start_time == start_date.strftime('%H:%M') |
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| 93 | |
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[31adfa5] | 94 | def test_start_in_timezone(self): |
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| 95 | start_date = datetime.now(tz=timezone.utc) |
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| 96 | str_start_date = start_date.strftime('%d/%m/%Y %H:%M (%Z)') |
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| 97 | workout = Workout(start=start_date) |
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| 98 | assert workout.start_in_timezone('UTC') == str_start_date |
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| 99 | assert workout.start_in_timezone('Europe/Madrid') != str_start_date |
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| 100 | assert workout.start_in_timezone('America/Vancouver') != str_start_date |
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| 101 | |
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| 102 | def test_end_in_timezone(self): |
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| 103 | start_date = datetime.now(tz=timezone.utc) |
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| 104 | end_date = start_date + timedelta(minutes=60) |
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| 105 | str_end_date = end_date.strftime('%d/%m/%Y %H:%M (%Z)') |
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| 106 | workout = Workout(start=start_date, duration=timedelta(minutes=60)) |
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| 107 | assert workout.end_in_timezone('UTC') == str_end_date |
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| 108 | assert workout.end_in_timezone('Europe/Madrid') != str_end_date |
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| 109 | assert workout.end_in_timezone('America/Vancouver') != str_end_date |
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| 110 | |
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[5ec3a0b] | 111 | def test_split_duration(self): |
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| 112 | # return the same hours, minutes, seconds we provided when creating |
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| 113 | # the workout instance |
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| 114 | duration = timedelta(hours=1, minutes=30, seconds=15) |
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| 115 | workout = Workout(duration=duration) |
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| 116 | assert workout.split_duration() == (1, 30, 15) |
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| 117 | # If the duration is longer than a day, return the calculation of |
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| 118 | # in hours, minutes, seconds too |
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| 119 | duration = timedelta(days=1, hours=1, minutes=30, seconds=15) |
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| 120 | workout = Workout(duration=duration) |
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| 121 | assert workout.split_duration() == (25, 30, 15) |
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| 122 | |
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| 123 | def test_duration_hours_minutes_seconds(self): |
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| 124 | duration = timedelta(hours=1, minutes=30, seconds=15) |
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| 125 | workout = Workout(duration=duration) |
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| 126 | assert workout.duration_hours == '01' |
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| 127 | assert workout.duration_minutes == '30' |
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| 128 | assert workout.duration_seconds == '15' |
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| 129 | |
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[b73ae09] | 130 | def test__duration(self): |
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| 131 | # covering the property that shows the duration of a workout properly |
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| 132 | # formatted in hours:minutes:seconds |
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| 133 | duration = timedelta(hours=1, minutes=30, seconds=15) |
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| 134 | workout = Workout(duration=duration) |
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| 135 | assert workout._duration == '01:30:15' |
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| 136 | |
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[5ec3a0b] | 137 | def test_rounded_distance_no_value(self): |
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| 138 | workout = Workout() |
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| 139 | assert workout.rounded_distance == '-' |
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| 140 | |
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| 141 | def test_rounded_distance(self): |
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| 142 | workout = Workout() |
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| 143 | workout.distance = 44.44444444 |
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[c9991fed] | 144 | assert workout.rounded_distance == 44.44 |
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[5ec3a0b] | 145 | |
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| 146 | def test_has_hr(self): |
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| 147 | workout = Workout() |
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| 148 | assert not workout.has_hr |
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| 149 | workout.hr_min = 90 |
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| 150 | assert not workout.has_hr |
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| 151 | workout.hr_max = 180 |
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| 152 | assert not workout.has_hr |
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| 153 | workout.hr_avg = 120 |
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| 154 | assert workout.has_hr |
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| 155 | |
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| 156 | def test_hr(self): |
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| 157 | workout = Workout() |
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| 158 | assert workout.hr is None |
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| 159 | workout.hr_min = 90 |
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| 160 | assert workout.hr is None |
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| 161 | workout.hr_max = 180 |
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| 162 | assert workout.hr is None |
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| 163 | workout.hr_avg = 120 |
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| 164 | assert workout.hr['min'] == 90 |
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| 165 | assert workout.hr['max'] == 180 |
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| 166 | assert workout.hr['avg'] == 120 |
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| 167 | |
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| 168 | def test_has_cad(self): |
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| 169 | workout = Workout() |
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| 170 | assert not workout.has_cad |
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| 171 | workout.cad_min = 0 |
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| 172 | assert not workout.has_cad |
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| 173 | workout.cad_max = 110 |
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| 174 | assert not workout.has_cad |
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| 175 | workout.cad_avg = 50 |
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| 176 | assert workout.has_cad |
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| 177 | |
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| 178 | def test_cad(self): |
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| 179 | workout = Workout() |
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| 180 | assert workout.cad is None |
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| 181 | workout.cad_min = 0 |
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| 182 | assert workout.cad is None |
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| 183 | workout.cad_max = 110 |
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| 184 | assert workout.cad is None |
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| 185 | workout.cad_avg = 50 |
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| 186 | assert workout.cad['min'] == 0 |
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| 187 | assert workout.cad['max'] == 110 |
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| 188 | assert workout.cad['avg'] == 50 |
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| 189 | |
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| 190 | def test_has_atemp(self): |
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| 191 | workout = Workout() |
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| 192 | assert not workout.has_atemp |
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| 193 | workout.atemp_min = 0 |
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| 194 | assert not workout.has_atemp |
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| 195 | workout.atemp_max = 12 |
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| 196 | assert not workout.has_atemp |
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| 197 | workout.atemp_avg = 5 |
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| 198 | assert workout.has_atemp |
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| 199 | |
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| 200 | def test_atemp(self): |
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| 201 | workout = Workout() |
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| 202 | assert workout.atemp is None |
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| 203 | workout.atemp_min = 0 |
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| 204 | assert workout.atemp is None |
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| 205 | workout.atemp_max = 12 |
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| 206 | assert workout.atemp is None |
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| 207 | workout.atemp_avg = 5 |
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| 208 | assert workout.atemp['min'] == 0 |
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| 209 | assert workout.atemp['max'] == 12 |
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| 210 | assert workout.atemp['avg'] == 5 |
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| 211 | |
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[53bb3e5] | 212 | def test_tracking_file_path(self): |
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| 213 | workout = Workout() |
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| 214 | # no tracking file, path is None |
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| 215 | assert workout.tracking_file_path is None |
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| 216 | # workout still not saved to the db |
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| 217 | workout.tracking_file = Mock() |
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[b030195] | 218 | workout.tracking_file._uncommitted.return_value = '/tmp/blobtempfile' |
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| 219 | workout.tracking_file.committed.return_value = None |
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[53bb3e5] | 220 | assert workout.tracking_file_path == '/tmp/blobtempfile' |
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[b030195] | 221 | workout.tracking_file._uncommitted.return_value = None |
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| 222 | workout.tracking_file.committed.return_value = '/var/db/blobs/blobfile' |
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[53bb3e5] | 223 | assert workout.tracking_file_path == '/var/db/blobs/blobfile' |
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| 224 | |
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[b73ae09] | 225 | def test_fit_file_path(self): |
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| 226 | workout = Workout() |
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| 227 | # no tracking file, path is None |
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| 228 | assert workout.fit_file_path is None |
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| 229 | # workout still not saved to the db |
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| 230 | workout.fit_file = Mock() |
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[b030195] | 231 | workout.fit_file._uncommitted.return_value = '/tmp/blobtempfile' |
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| 232 | workout.fit_file.committed.return_value = None |
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[b73ae09] | 233 | assert workout.fit_file_path == '/tmp/blobtempfile' |
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[b030195] | 234 | workout.fit_file._uncommitted.return_value = None |
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| 235 | workout.fit_file.committed.return_value = '/var/db/blobs/blobfile' |
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[b73ae09] | 236 | assert workout.fit_file_path == '/var/db/blobs/blobfile' |
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| 237 | |
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[5ec3a0b] | 238 | def test_load_from_file_invalid(self): |
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| 239 | workout = Workout() |
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| 240 | workout.tracking_filetype = 'alf' |
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| 241 | with patch.object(workout, 'load_from_gpx') as lfg: |
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| 242 | workout.load_from_file() |
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| 243 | assert not lfg.called |
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| 244 | |
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| 245 | def test_load_from_file_gpx(self): |
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| 246 | workout = Workout() |
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| 247 | workout.tracking_filetype = 'gpx' |
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| 248 | with patch.object(workout, 'load_from_gpx') as lfg: |
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| 249 | workout.load_from_file() |
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| 250 | assert lfg.called |
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| 251 | |
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[b73ae09] | 252 | def test_load_from_file_fit(self): |
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| 253 | workout = Workout() |
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| 254 | workout.tracking_filetype = 'fit' |
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| 255 | with patch.object(workout, 'load_from_fit') as lff: |
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| 256 | workout.load_from_file() |
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| 257 | assert lff.called |
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| 258 | |
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[5ec3a0b] | 259 | gpx_params = ( |
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| 260 | # GPX 1.0 file, no extensions |
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| 261 | ('fixtures/20131013.gpx', { |
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| 262 | 'start': datetime(2013, 10, 13, 5, 28, 26, tzinfo=timezone.utc), |
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| 263 | 'duration': timedelta(seconds=27652), |
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| 264 | 'distance': Decimal(98.12598431852807), |
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| 265 | 'title': 'A ride I will never forget', |
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| 266 | 'blob': 'path', |
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| 267 | 'hr': {'min': None, 'max': None, 'avg': None}, |
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| 268 | 'cad': {'min': None, 'max': None, 'avg': None}, |
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| 269 | 'atemp': {'min': None, 'max': None, 'avg': None}}), |
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| 270 | # GPX 1.0 file, no extensions, missing elevation |
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| 271 | ('fixtures/20131013-without-elevation.gpx', { |
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| 272 | 'start': datetime(2013, 10, 13, 5, 28, 26, tzinfo=timezone.utc), |
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| 273 | 'duration': timedelta(seconds=27652), |
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| 274 | 'distance': Decimal(98.12598431852807), |
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| 275 | 'title': 'A ride I will never forget', |
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| 276 | 'blob': None, |
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| 277 | 'hr': {'min': None, 'max': None, 'avg': None}, |
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| 278 | 'cad': {'min': None, 'max': None, 'avg': None}, |
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| 279 | 'atemp': {'min': None, 'max': None, 'avg': None}}), |
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| 280 | # GPX 1.1 file with extensions |
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| 281 | ('fixtures/20160129-with-extensions.gpx', { |
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| 282 | 'start': datetime(2016, 1, 29, 8, 12, 9, tzinfo=timezone.utc), |
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| 283 | 'duration': timedelta(seconds=7028), |
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| 284 | 'distance': Decimal(48.37448557752049237024039030), |
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| 285 | 'title': 'Cota counterclockwise + end bonus', |
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| 286 | 'blob': 'path', |
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| 287 | 'hr': {'min': Decimal(100), 'max': Decimal(175), |
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| 288 | 'avg': Decimal(148.365864144454008055618032813072)}, |
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| 289 | 'cad': {'min': Decimal(0), 'max': Decimal(110), |
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| 290 | 'avg': Decimal(67.41745485812553740326741187)}, |
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| 291 | 'atemp': {'min': Decimal(-4), 'max': Decimal(14), |
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| 292 | 'avg': Decimal(-0.3869303525365434221840068788)}}), |
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| 293 | ) |
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| 294 | |
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| 295 | @pytest.mark.parametrize(('filename', 'expected'), gpx_params) |
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| 296 | def test_load_from_gpx(self, filename, expected): |
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| 297 | """ |
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| 298 | Load a gpx file located in tests/fixtures using the load_from_gpx() |
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| 299 | method of the Workout model, then check that certain attrs on the |
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| 300 | workout are updated correctly |
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| 301 | """ |
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| 302 | # expected values |
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| 303 | start = expected['start'] |
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| 304 | duration = expected['duration'] |
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| 305 | distance = expected['distance'] |
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| 306 | title = expected['title'] |
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| 307 | blob = expected['blob'] |
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| 308 | hr = expected['hr'] |
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| 309 | cad = expected['cad'] |
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| 310 | atemp = expected['atemp'] |
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| 311 | |
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| 312 | workout = Workout() |
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| 313 | |
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| 314 | # Check the values are different by default |
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| 315 | assert workout.start != start |
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| 316 | assert workout.duration != duration |
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| 317 | assert workout.distance != distance |
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| 318 | |
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| 319 | gpx_file_path = os.path.join( |
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| 320 | os.path.dirname(os.path.dirname(__file__)), filename) |
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| 321 | with patch.object(workout, 'tracking_file') as tf: |
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| 322 | with open(gpx_file_path, 'r') as gpx_file: |
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| 323 | tf.open.return_value = BytesIO(gpx_file.read().encode('utf-8')) |
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| 324 | # Set the path to the blob object containing the gpx file. |
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| 325 | # more info in models.workout.Workout.parse_gpx() |
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| 326 | tf._p_blob_uncommitted = gpx_file_path |
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| 327 | if blob is None: |
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| 328 | # set the uncommited blob to None, mimicing what happens |
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| 329 | # with a workout saved into the db (transaction.commit()) |
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| 330 | tf._p_blob_uncommitted = None |
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| 331 | tf._p_blob_committed = gpx_file_path |
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| 332 | # Without this, has_gpx() will return False |
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| 333 | workout.tracking_filetype = 'gpx' |
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| 334 | res = workout.load_from_gpx() |
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| 335 | assert res is True |
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| 336 | assert workout.start == start |
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| 337 | assert workout.duration == duration |
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| 338 | assert isinstance(workout.distance, Decimal) |
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| 339 | assert round(workout.distance) == round(distance) |
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| 340 | # The title of the workout is taken from the gpx file |
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| 341 | assert workout.title == title |
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| 342 | for k in hr.keys(): |
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| 343 | # We use 'fail' as the fallback in the getattr call because |
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| 344 | # None is one of the posible values, and we want to be sure |
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| 345 | # those attrs are there |
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| 346 | # |
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| 347 | # The keys are the same for the hr, cad and atemp dicts, so |
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| 348 | # we can do all tests in one loop |
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| 349 | # |
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| 350 | # If the expected value is not None, use round() to avoid |
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| 351 | # problems when comparing long Decimal objects |
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| 352 | value = getattr(workout, 'hr_'+k, 'fail') |
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| 353 | if hr[k] is None: |
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| 354 | assert hr[k] == value |
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| 355 | else: |
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| 356 | assert round(hr[k]) == round(value) |
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| 357 | |
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| 358 | value = getattr(workout, 'cad_'+k, 'fail') |
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| 359 | if cad[k] is None: |
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| 360 | assert cad[k] == value |
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| 361 | else: |
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| 362 | assert round(cad[k]) == round(value) |
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| 363 | |
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| 364 | value = getattr(workout, 'atemp_'+k, 'fail') |
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| 365 | if atemp[k] is None: |
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| 366 | assert atemp[k] == value |
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| 367 | else: |
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| 368 | assert round(atemp[k]) == round(value) |
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| 369 | |
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| 370 | def test_load_from_gpx_no_tracks(self): |
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| 371 | """ |
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| 372 | If we load an empty (but valid) gpx file (i.e., no tracks information) |
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| 373 | the attrs on the workout are not updated, the call to load_from_gpx() |
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| 374 | returns False |
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| 375 | """ |
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| 376 | workout = Workout() |
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| 377 | |
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| 378 | # We do not check the start time, it would need some mocking on the |
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| 379 | # datetime module and there is no need really |
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| 380 | assert workout.duration is None |
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| 381 | assert workout.distance is None |
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| 382 | |
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| 383 | gpx_file_path = os.path.join( |
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| 384 | os.path.dirname(os.path.dirname(__file__)), |
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| 385 | 'fixtures/empty.gpx') |
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| 386 | with patch.object(workout, 'tracking_file') as tf: |
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| 387 | with open(gpx_file_path, 'r') as gpx_file: |
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| 388 | tf.open.return_value = BytesIO(gpx_file.read().encode('utf-8')) |
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| 389 | res = workout.load_from_gpx() |
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| 390 | assert res is False |
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| 391 | assert workout.duration is None |
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| 392 | assert workout.distance is None |
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| 393 | assert workout.title == '' |
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| 394 | for k in ['max', 'min', 'avg']: |
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| 395 | for a in ['hr_', 'cad_', 'atemp_']: |
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| 396 | assert getattr(workout, a+k, 'fail') is None |
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| 397 | |
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| 398 | def test_parse_gpx_no_gpx_file(self): |
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| 399 | """ |
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| 400 | Test the behaviour of parse_gpx() when we call it on a workout without |
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| 401 | a gpx tracking file. The behaviour of such method when the workout has |
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| 402 | a gpx tracking file is covered by the test_load_from_gpx() test above |
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| 403 | """ |
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| 404 | workout = Workout() |
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| 405 | res = workout.parse_gpx() |
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| 406 | assert res == {} |
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| 407 | |
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[b73ae09] | 408 | fit_params = ( |
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| 409 | # complete fit file from a garmin 520 device |
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| 410 | ('fixtures/20181230_101115.fit', { |
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| 411 | 'start': datetime(2018, 12, 30, 9, 11, 15, tzinfo=timezone.utc), |
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| 412 | 'duration': timedelta(0, 13872, 45000), |
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| 413 | 'distance': Decimal('103.4981999999999970896169543'), |
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| 414 | 'title': 'Synapse cycling', |
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| 415 | 'hr': {'min': 93, 'max': 170, 'avg': 144}, |
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| 416 | 'cad': {'min': 0, 'max': 121, 'avg': 87}, |
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| 417 | 'atemp': {'min': -4, 'max': 15, 'avg': 2}, |
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| 418 | 'gpx_file': 'fixtures/20181230_101115.gpx'}), |
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| 419 | # fit file from a garmin 520 without heart rate or cadence data |
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| 420 | ('fixtures/20181231_110728.fit', { |
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| 421 | 'start': datetime(2018, 12, 31, 10, 7, 28, tzinfo=timezone.utc), |
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| 422 | 'duration': timedelta(0, 2373, 142000), |
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| 423 | 'distance': Decimal('6.094909999999999854480847716'), |
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| 424 | 'title': 'Synapse cycling', |
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| 425 | 'hr': None, |
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| 426 | 'cad': None, |
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| 427 | 'atemp': {'min': -1, 'max': 11, 'avg': 1}, |
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| 428 | 'gpx_file': 'fixtures/20181231_110728.gpx'}), |
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| 429 | ) |
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| 430 | |
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| 431 | @pytest.mark.parametrize(('filename', 'expected'), fit_params) |
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| 432 | def test_load_from_fit(self, filename, expected): |
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| 433 | """ |
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| 434 | Load a fit file located in tests/fixtures using the load_from_fit() |
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| 435 | method of the Workout model, then check that certain attrs on the |
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| 436 | workout are updated correctly. |
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| 437 | |
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| 438 | Ensure also that the proper gpx file is created automatically from |
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| 439 | the fit file, with the proper contents (we have a matching gpx file |
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| 440 | in tests/fixtures for each fit file) |
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| 441 | """ |
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| 442 | # expected values |
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| 443 | start = expected['start'] |
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| 444 | duration = expected['duration'] |
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| 445 | distance = expected['distance'] |
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| 446 | title = expected['title'] |
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| 447 | hr = expected['hr'] |
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| 448 | cad = expected['cad'] |
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| 449 | atemp = expected['atemp'] |
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| 450 | # gpx_file = expected['gpx_file'] |
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| 451 | |
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| 452 | workout = Workout() |
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| 453 | |
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| 454 | # Check the values are different by default |
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| 455 | assert workout.start != start |
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| 456 | assert workout.duration != duration |
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| 457 | assert workout.distance != distance |
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| 458 | |
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| 459 | # by default no tracking file and no fit file are associated with this |
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| 460 | # workout. |
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| 461 | assert workout.tracking_file is None |
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| 462 | assert workout.fit_file is None |
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| 463 | assert not workout.has_tracking_file |
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| 464 | assert not workout.has_gpx |
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| 465 | assert not workout.has_fit |
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| 466 | |
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| 467 | fit_file_path = os.path.join( |
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| 468 | os.path.dirname(os.path.dirname(__file__)), filename) |
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| 469 | |
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| 470 | # gpx_file_path = os.path.join( |
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| 471 | # os.path.dirname(os.path.dirname(__file__)), gpx_file) |
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| 472 | |
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| 473 | # add the fit file as a blob to tracking_file |
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| 474 | with open(fit_file_path, 'rb') as fit_file: |
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| 475 | fit_blob = create_blob(fit_file.read(), file_extension='fit', |
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| 476 | binary=True) |
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| 477 | workout.tracking_file = fit_blob |
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| 478 | workout.tracking_filetype = 'fit' |
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| 479 | |
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| 480 | res = workout.load_from_fit() |
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| 481 | |
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| 482 | assert res is True |
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| 483 | assert workout.start == start |
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| 484 | assert workout.duration == duration |
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| 485 | assert isinstance(workout.distance, Decimal) |
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| 486 | assert round(workout.distance) == round(distance) |
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| 487 | # The title of the workout is taken from the gpx file |
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| 488 | assert workout.title == title |
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| 489 | |
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| 490 | if hr is not None: |
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| 491 | for k in hr.keys(): |
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| 492 | # We use 'fail' as the fallback in the getattr call |
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| 493 | # because None is one of the posible values, and we |
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| 494 | # want to be sure those attrs are there |
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| 495 | value = getattr(workout, 'hr_' + k, 'fail') |
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| 496 | # Use round() to avoid problems when comparing long |
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| 497 | # Decimal objects |
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| 498 | assert round(hr[k]) == round(value) |
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| 499 | |
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| 500 | if cad is not None: |
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| 501 | for k in cad.keys(): |
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| 502 | value = getattr(workout, 'cad_' + k, 'fail') |
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| 503 | assert round(cad[k]) == round(value) |
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| 504 | |
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| 505 | if atemp is not None: |
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| 506 | for k in atemp.keys(): |
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| 507 | value = getattr(workout, 'atemp_' + k, 'fail') |
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| 508 | assert round(atemp[k]) == round(value) |
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| 509 | |
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| 510 | assert workout.tracking_file is not None |
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| 511 | # the tracking file type is set back to gpx, as we have |
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| 512 | # automatically generated the gpx version |
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| 513 | assert workout.tracking_filetype == 'gpx' |
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| 514 | assert workout.fit_file is not None |
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| 515 | assert workout.has_tracking_file |
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| 516 | assert workout.has_gpx |
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| 517 | assert workout.has_fit |
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| 518 | |
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[5ec3a0b] | 519 | def test_has_tracking_file(self, root): |
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| 520 | workout = root['john']['1'] |
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| 521 | # without tracking file |
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[b22a9d2] | 522 | assert not workout.has_tracking_file |
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[5ec3a0b] | 523 | # with tracking file |
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| 524 | workout.tracking_file = 'faked tracking file' |
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[b22a9d2] | 525 | assert workout.has_tracking_file |
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[5ec3a0b] | 526 | |
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| 527 | def test_has_gpx(self, root): |
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| 528 | workout = root['john']['1'] |
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| 529 | # without tracking file |
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[b22a9d2] | 530 | assert not workout.has_gpx |
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[5ec3a0b] | 531 | workout.tracking_filetype = 'fit' |
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[b22a9d2] | 532 | assert not workout.has_gpx |
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[5ec3a0b] | 533 | # with non-gpx tracking file |
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| 534 | workout.tracking_file = 'faked tracking file' |
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| 535 | workout.tracking_filetype = 'fit' |
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[b22a9d2] | 536 | assert not workout.has_gpx |
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[5ec3a0b] | 537 | # with gpx tracking file |
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| 538 | workout.tracking_file = 'faked tracking file' |
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| 539 | workout.tracking_filetype = 'gpx' |
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[b22a9d2] | 540 | assert workout.has_gpx |
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| 541 | |
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| 542 | def test_has_fit(self, root): |
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| 543 | workout = root['john']['1'] |
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| 544 | # without tracking file |
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| 545 | assert not workout.has_fit |
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| 546 | # tracking_file is a fit, this should not happen, as uploading a fit |
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| 547 | # puts the fit file into .fit_file and generates a gpx for |
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| 548 | # .tracking_file |
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| 549 | workout.tracking_file = 'faked tracking file' |
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| 550 | workout.tracking_filetype = 'fit' |
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| 551 | assert not workout.has_fit |
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| 552 | # now, having a fit file returns true |
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| 553 | workout.fit_file = 'faked fit file' |
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| 554 | assert workout.has_fit |
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| 555 | # no matter what we have in tracking_file |
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| 556 | workout.tracking_filetype = 'gpx' |
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| 557 | assert workout.has_fit |
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| 558 | workout.tracking_file = None |
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| 559 | workout.tracking_filetype = None |
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| 560 | assert workout.has_fit |
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[ceae158] | 561 | |
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| 562 | @patch('ow.models.workout.os') |
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| 563 | @patch('ow.models.workout.save_map_screenshot') |
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| 564 | def test_map_screenshot_no_gpx(self, sms, os, root): |
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| 565 | workout = root['john']['1'] |
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| 566 | assert workout.map_screenshot is None |
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| 567 | assert not os.path.abspath.called |
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| 568 | assert not os.path.dirname.called |
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| 569 | assert not os.path.join.called |
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| 570 | assert not os.path.exists.called |
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| 571 | assert not sms.called |
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| 572 | |
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| 573 | @patch('ow.models.workout.os') |
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| 574 | @patch('ow.models.workout.save_map_screenshot') |
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| 575 | def test_map_screenshot_save(self, sms, os, root): |
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| 576 | """ |
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| 577 | A workout with a tracking file has no map screenshot, one is |
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| 578 | saved to the filesystem. |
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| 579 | This test simply asserts the calls to the separate methods that |
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| 580 | look for existing screenshots and save a new one |
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| 581 | """ |
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| 582 | os.path.abspath.return_value = 'current_dir' |
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| 583 | os.path.join.side_effect = join |
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| 584 | # This forces the "save screenshot" code to be run |
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| 585 | os.path.exists.return_value = False |
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| 586 | |
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| 587 | workout = root['john']['1'] |
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| 588 | workout.tracking_file = 'faked gpx file' |
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| 589 | workout.tracking_filetype = 'gpx' |
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| 590 | |
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| 591 | uid = str(root['john'].uid) |
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| 592 | assert workout.map_screenshot == 'ow:/static/maps/' + uid + '/1.png' |
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| 593 | assert os.path.abspath.called |
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| 594 | assert os.path.dirname.called |
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| 595 | assert os.path.join.call_count == 2 |
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| 596 | assert os.path.exists.called |
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| 597 | sms.assert_called_once_with(workout) |
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| 598 | |
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| 599 | @patch('ow.models.workout.os') |
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| 600 | @patch('ow.models.workout.save_map_screenshot') |
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| 601 | def test_map_screenshot_do_not_save(self, sms, os, root): |
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| 602 | """ |
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| 603 | A workout with a tracking file has a map screenshot, the path to that |
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| 604 | is returned without doing anything else |
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| 605 | """ |
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| 606 | os.path.abspath.return_value = 'current_dir' |
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| 607 | os.path.join.side_effect = join |
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| 608 | # This forces the "save screenshot" code NOT to be run |
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| 609 | os.path.exists.return_value = True |
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| 610 | |
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| 611 | workout = root['john']['1'] |
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| 612 | workout.tracking_file = 'faked gpx file' |
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| 613 | workout.tracking_filetype = 'gpx' |
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| 614 | |
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| 615 | uid = str(root['john'].uid) |
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| 616 | assert workout.map_screenshot == 'ow:/static/maps/' + uid + '/1.png' |
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| 617 | assert os.path.abspath.called |
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| 618 | assert os.path.dirname.called |
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| 619 | assert os.path.join.call_count == 2 |
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| 620 | assert os.path.exists.called |
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| 621 | assert not sms.called |
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