def test_constant(self):
with TemporaryDirectory() as f:
bootstrap_dir(f, m(V), '5', mm(DEV), configurator=default)
args, data = bootstrap_dir(
f, m(V), '5', mm(DEV), 'read',
'data/test/source/personal/2018-03-04-qdp.fit')
read(args, data)
with data.db.session_context() as s:
stats = Statistics(s, activity_journal='2018-03-04 07:16:33', with_timespan=True). \
by_name(SegmentReader, N.LATITUDE, N.LONGITUDE, N.SPHERICAL_MERCATOR_X,
N.SPHERICAL_MERCATOR_Y, N.DISTANCE, N.ELEVATION, N.SPEED, N.CADENCE, N.HEART_RATE).df
stats.describe()
sepn = pd.Series(stats.index).diff().median() # 7 secs
start = stats.index.min() # 2018-03-04 10:16:33+00:00
finish = stats.index.max() # 2018-03-04 16:34:51+00:00
even = pd.DataFrame({'keep': True},
index=pd.date_range(start=start,
end=finish,
freq=sepn))
both = stats.join(even, how='outer', sort=True)
both.interpolate(method='index',
limit_area='inside',
inplace=True)
both = both.loc[both['keep'] == True].drop(columns=['keep'])
both = both.loc[both[N.TIMESPAN_ID].isin(
stats[N.TIMESPAN_ID].unique())]
both.describe()
def generic_bug(self, files, join=False):
with TemporaryDirectory() as f:
args, data = bootstrap_dir(f, m(V), '5')
bootstrap_dir(f, m(V), '5', mm(DEV), configurator=default)
if join:
files = [
'data/test/source/personal/[email protected]_%s.fit' % file
for file in files
]
args, data = bootstrap_dir(f, mm(DEV), 'read', *files)
read(args, data)
else:
for file in files:
args, data = bootstrap_dir(
f, mm(DEV), 'read',
'data/test/source/personal/[email protected]_%s.fit' %
file)
read(args, data)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
with data.db.session_context() as s:
# steps
summary = s.query(StatisticJournal).join(StatisticName). \
filter(StatisticJournal.time >= local_date_to_time('2018-10-07'),
StatisticJournal.time < local_date_to_time('2018-10-08'),
StatisticName.owner == MonitorCalculator,
StatisticName.name == N.DAILY_STEPS).one()
# connect has 3031 for this date.
self.assertEqual(summary.value, 3031)
def spline(self, smooth=0):
with TemporaryDirectory() as f:
bootstrap_dir(f, m(V), '5', mm(DEV), configurator=default)
args, data = bootstrap_dir(f, m(V), '5', 'constants', 'set',
SRTM1_DIR_CNAME,
'/home/andrew/archive/srtm1', mm(FORCE))
constants(args, data)
with data.db.session_context() as s:
yield spline_elevation_from_constant(s, smooth=smooth)
def test_florian(self):
with TemporaryDirectory() as f:
bootstrap_dir(f, m(V), '5')
bootstrap_dir(f, m(V), '5', mm(DEV), configurator=default)
args, data = bootstrap_dir(f, m(V), '5', mm(DEV), 'read',
'data/test/source/private/florian.fit')
read(args, data)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
run_pipeline(data, PipelineType.CALCULATE, n_cpu=1)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
with data.db.session_context() as s:
self.__assert_basic_stats(s)
def test_920(self):
for src in '920xt-2019-05-16_19-42-54.fit', '920xt-2019-05-16_19-42-54.fit':
with TemporaryDirectory() as f:
bootstrap_dir(f, m(V), '5')
bootstrap_dir(f, m(V), '5', mm(DEV), configurator=default)
args, data = bootstrap_dir(f, m(V), '5', mm(DEV), 'read',
f'data/test/source/other/{src}')
read(args, data)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
run_pipeline(data, PipelineType.CALCULATE, n_cpu=1)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
with data.db.session_context() as s:
self.__assert_basic_stats(s)
def test_constant(self):
with TemporaryDirectory() as f:
args, data = bootstrap_dir(f, m(V), '5')
bootstrap_dir(f, m(V), '5', mm(DEV), configurator=default)
with data.db.session_context() as s:
n = s.query(count(Constant.id)).scalar()
self.assertEqual(n, 14)
args, data = bootstrap_dir(f, m(V), '5', 'constants', 'set',
'fthr:%', '154', mm(FORCE))
constants(args, data)
with data.db.session_context() as s:
n = s.query(count(Constant.id)).scalar()
self.assertEqual(n, 14)
def test_models(self):
with TemporaryDirectory() as f:
args, data = bootstrap_dir(f, m(V), '5', configurator=default)
with data.db.session_context() as s:
start(s, 'bike', 'cotic', '2018-01-01', True)
start(s, 'bike', 'marin', '2018-01-01', False)
change(s, 'cotic', 'chain', 'sram', None, True, True)
change(s, 'cotic', 'chain', 'kcm', '2018-01-01', False, False)
change(s, 'cotic', 'chain', 'sram', '2018-05-01', False, False)
change(s, 'cotic', 'chain', 'kcm', '2018-07-01', False, False)
change(s, 'cotic', 'chain', 'sram', '2018-04-01', False, False)
start(s, 'bike', 'bowman', '2018-01-01', False)
change(s, 'bowman', 'chain', 'sram', None, False, True)
args, data = bootstrap_dir(
f, m(V), '5', mm(DEV), READ,
'data/test/source/personal/2018-08-03-rec.fit', m(K), 'cotic')
read(args, data)
args, data = bootstrap_dir(
f, m(V), '5', mm(DEV), READ,
'data/test/source/personal/2018-08-27-rec.fit', m(K), 'cotic')
read(args, data)
run_pipeline(data,
PipelineType.CALCULATE,
like=['%Activity%'],
n_cpu=1)
run_pipeline(data, PipelineType.CALCULATE, like=['%Kit%'], n_cpu=1)
with data.db.session_context() as s:
bike = get_name(s, 'bike').to_model(s,
depth=3,
statistics=INDIVIDUAL,
own_models=False)
self.assertEqual(bike[TYPE], KitGroup.SIMPLE_NAME)
self.assertEqual(bike[NAME], 'bike')
self.assertEqual(len(bike[ITEMS]), 3)
cotic = [
item for item in bike[ITEMS] if item[NAME] == 'cotic'
][0]
self.assertEqual(cotic[TYPE], KitItem.SIMPLE_NAME)
self.assertEqual(cotic[NAME], 'cotic')
self.assertEqual(len(cotic[COMPONENTS]), 1)
chain = cotic[COMPONENTS][0]
self.assertEqual(chain[TYPE], KitComponent.SIMPLE_NAME)
self.assertEqual(chain[NAME], 'chain')
self.assertEqual(len(chain[MODELS]), 6)
self.assertFalse(STATISTICS in bike)
def test_michael(self):
with TemporaryDirectory() as f:
bootstrap_dir(f, m(V), '5')
bootstrap_dir(f, m(V), '5', mm(DEV), configurator=default)
args, data = bootstrap_dir(
f, m(V), '5', mm(DEV), 'read',
'data/test/source/other/2019-05-09-051352-Running-iWatchSeries3.fit'
)
read(args, data)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
run_pipeline(data, PipelineType.CALCULATE, n_cpu=1)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
with data.db.session_context() as s:
self.__assert_basic_stats(s)
def test_context(self):
with TemporaryDirectory() as f:
args, data = bootstrap_dir(f, m(V), '5')
args, data = bootstrap_dir(f,
m(V),
'5',
mm(DEV),
configurator=default)
with data.db.session_context() as s:
with Timestamp(owner=TestTimestamp).on_success(s):
n = s.query(count(Timestamp.id)).scalar()
self.assertEqual(n, 0)
n = s.query(count(Timestamp.id)).scalar()
self.assertEqual(n, 1)
def test_empty_data(self):
with TemporaryDirectory() as f:
args, data = bootstrap_dir(f, m(V), '5')
bootstrap_dir(f, m(V), '5', mm(DEV), configurator=default)
args, data = bootstrap_dir(
f, m(V), '5', mm(DEV), 'read',
'data/test/source/other/37140810636.fit')
read(args, data)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
run_pipeline(data, PipelineType.CALCULATE, n_cpu=1)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
with data.db.session_context() as s:
n = s.query(func.count(StatisticJournal.id)).scalar()
self.assertEqual(n, 44)
mjournal = s.query(MonitorJournal).one()
self.assertNotEqual(mjournal.start, mjournal.finish)
def test_heart_alarms(self):
with TemporaryDirectory() as f:
bootstrap_dir(f, m(V), '5')
bootstrap_dir(f, m(V), '5', mm(DEV), configurator=default)
args, data = bootstrap_dir(
f, m(V), '5', mm(DEV), 'read',
'data/test/source/personal/2016-07-19-mpu-s-z2.fit')
read(args, data)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
run_pipeline(data, PipelineType.CALCULATE, n_cpu=1)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
with data.db.session_context() as s:
for stat in s.query(StatisticJournal). \
join(StatisticName). \
filter(StatisticName.name == N.ACTIVE_DISTANCE).all():
self.assertGreater(stat.value, 30)
def test_set(self):
with TemporaryDirectory() as f:
args, data = bootstrap_dir(f, m(V), '5')
args, data = bootstrap_dir(f,
m(V),
'5',
mm(DEV),
configurator=default)
with data.db.session_context() as s:
source = add(s, Source())
n = s.query(count(Timestamp.id)).scalar()
self.assertEqual(n, 0)
Timestamp.set(s, TestTimestamp, source=source)
n = s.query(count(Timestamp.id)).scalar()
self.assertEqual(n, 1)
t = s.query(Timestamp).filter(
Timestamp.owner == TestTimestamp).one()
self.assertAlmostEqual(t.time.timestamp(),
dt.datetime.now().timestamp(), 1)
def test_values(self):
with TemporaryDirectory() as f:
bootstrap_dir(f, m(V), '5')
bootstrap_dir(f, m(V), '5', mm(DEV), configurator=default)
for file in ('24696157869', '24696160481', '24696163486'):
args, data = bootstrap_dir(
f, m(V), '5', mm(DEV), 'read', mm(MONITOR),
'data/test/source/personal/[email protected]_%s.fit' %
file)
read(args, data)
# path = args.system_path(subdir='data', file='activity.db')
# run(f'sqlite3 {path} ".dump"', shell=True)
run_pipeline(data,
PipelineType.CALCULATE,
force=True,
like=('%Monitor%', ),
start='2018-01-01',
n_cpu=1)
with data.db.session_context() as s:
mjournals = s.query(MonitorJournal).order_by(
MonitorJournal.start).all()
assert mjournals[2].start == to_time(
'2018-09-06 15:06:00'), mjournals[2].start
# steps
summary = s.query(StatisticJournal).join(StatisticName). \
filter(StatisticJournal.time >= local_date_to_time('2018-09-06'),
StatisticJournal.time < local_date_to_time('2018-09-07'),
StatisticName.owner == MonitorCalculator,
StatisticName.name == N.DAILY_STEPS).one()
if summary.value != 12757:
path = args.system_path(subdir='data', file='activity.db')
run('sqlite3 %s "select * from statistic_journal as j, statistic_journal_integer as i, '
'statistic_name as n where j.id = i.id and j.statistic_name_id = n.id and '
'n.name = \'steps\' order by j.time"' % path,
shell=True)
run('sqlite3 %s "select * from statistic_journal as j, statistic_journal_integer as i, '
'statistic_name as n where j.id = i.id and j.statistic_name_id = n.id and '
'n.name = \'cumulative-steps\' order by j.time"' %
path,
shell=True)
# connect has 12757 for this date,
self.assertEqual(summary.value, 12757)
def test_constant(self):
with TemporaryDirectory() as f:
bootstrap_dir(f, m(V), '5', mm(DEV), configurator=default)
args, data = bootstrap_dir(f, m(V), '5', mm(DEV),
'read', 'data/test/source/personal/2018-03-04-qdp.fit',
'-Kn_cpu=1')
read(args, data)
with data.db.session_context() as s:
model = list(read_date(s, to_date('2018-03-04')))
for i, x in enumerate(model):
print(i, x)
[title, diary, shrimp, activity, database] = model
activity = activity[1][2] # multiple now supported
print(activity)
name = activity[1]
print(name)
self.assertEqual(name[LABEL], 'Name')
self.assertEqual(name[VALUE], '2018-03-04T07:16:33')
route = activity[2]
self.assertEqual(route[LABEL], 'Route')
def test_context_error(self):
with TemporaryDirectory() as f:
args, data = bootstrap_dir(f, m(V), '5')
args, data = bootstrap_dir(f,
m(V),
'5',
mm(DEV),
configurator=default)
with data.db.session_context() as s:
try:
with Timestamp(owner=TestTimestamp).on_success(s):
n = s.query(count(Timestamp.id)).scalar()
self.assertEqual(n, 0)
raise Exception('foo')
except Exception as e:
self.assertEqual(
str(e), 'foo'
) # for some weird reason assertRaisesRegex was not working
n = s.query(count(Timestamp.id)).scalar()
self.assertEqual(n, 0)
def test_segment_bug(self):
with TemporaryDirectory() as f:
args, data = bootstrap_dir(f,
m(V),
'5',
mm(DEV),
configurator=default)
paths = [
'/home/andrew/archive/fit/bike/cotic/2016-07-27-pm-z4.fit'
]
run_pipeline(data,
PipelineType.READ_ACTIVITY,
paths=paths,
force=True)
def test_reftuple(self):
Power = reftuple('Power', 'bike, weight')
power = Power('${bike}', '${weight}')
with TemporaryDirectory() as f:
args, data = bootstrap_dir(f, m(V), '5')
with data.db.session_context() as s:
source = Source(type=SourceType.SOURCE)
s.add(source)
StatisticJournalText.add(s, 'Bike', None, None, self, source,
'{"mass": 42}', '1980-01-01')
StatisticJournalFloat.add(s, 'Weight', None, None, self,
source, 13, '1980-01-01')
p = power.expand(s, '1990-01-01', default_owner=self)
p = p._replace(bike=loads(p.bike))
self.assertEqual(p.weight, 13)
self.assertEqual(p.bike['mass'], 42)
def test_exponential_distance(self):
with TemporaryDirectory() as f:
args, data = bootstrap_dir(f,
m(V),
'5',
mm(DEV),
configurator=default)
plan = exponential_distance('Distance test', 'w[mon,wed,fri]',
'20km', 5, '2018-07-25', '1m')
plan.create(data.db)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
with data.db.session_context() as s:
root = s.query(DiaryTopic).filter(
DiaryTopic.parent_id == None,
DiaryTopic.title == 'Plan').one()
self.assertEqual(len(root.children), 1)
parent = root.children[0]
self.assertEqual(len(parent.children), 14)
for child in parent.children:
print(child)
def test_british(self):
with TemporaryDirectory() as f:
args, data = bootstrap_dir(f,
m(V),
'5',
mm(DEV),
configurator=default)
plan = twelve_week_improver('2018-07-25')
plan.create(data.db)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
with data.db.session_context() as s:
root = s.query(DiaryTopic).filter(
DiaryTopic.parent_id == None,
DiaryTopic.title == 'Plan').one()
self.assertEqual(len(root.children), 1)
self.assertTrue(root.schedule)
self.assertEqual(root.schedule.start, to_date('2018-07-25'))
self.assertEqual(root.schedule.finish,
add_date('2018-07-25', (12, 'w')))
parent = root.children[0]
self.assertEqual(len(parent.children), 7)
for child in parent.children:
print(child)
def test_activities(self):
with TemporaryDirectory() as base:
bootstrap_dir(base, m(V), '5')
bootstrap_dir(base, m(V), '5', mm(DEV), configurator=default)
args, data = bootstrap_dir(base, m(V), '5', 'constants', 'set',
'SRTM1.dir',
'/home/andrew/archive/srtm1', mm(FORCE))
constants(args, data)
args, data = bootstrap_dir(
base, m(V), '5', mm(DEV), 'read',
'data/test/source/personal/2018-08-27-rec.fit')
read(args, data)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
run_pipeline(data,
PipelineType.CALCULATE,
force=True,
start='2018-01-01',
n_cpu=1)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
with data.db.session_context() as s:
n_raw = s.query(count(StatisticJournalFloat.id)). \
join(StatisticName). \
filter(StatisticName.name == N.RAW_ELEVATION).scalar()
self.assertEqual(2099, n_raw)
n_fix = s.query(count(StatisticJournalFloat.id)). \
join(StatisticName). \
filter(StatisticName.name == N.ELEVATION).scalar()
self.assertEqual(2099, n_fix)
# WHY does this jump around?
n = s.query(count(StatisticJournal.id)).scalar()
# self.assertEqual(50403, n)
self.assertTrue(n > 30000)
self.assertTrue(n < 100000)
journal = s.query(ActivityJournal).one()
self.assertNotEqual(journal.start, journal.finish)
def test_sources(self):
with TemporaryDirectory() as f:
args, data = bootstrap_dir(f, m(V), '5', configurator=acooke)
with data.db.session_context() as s:
# add a diary entry
journal = add(s, DiaryTopicJournal(date='2018-09-29'))
cache = journal.cache(s)
diary = s.query(DiaryTopic).filter(DiaryTopic.title == 'Status').one()
fields = diary.fields
self.assertEqual(len(fields), 6, list(enumerate(map(str, fields))))
self.assertEqual(fields[0].statistic_name.name, 'notes')
self.assertEqual(fields[1].statistic_name.name, 'weight', str(fields[1]))
statistics = [cache[field] for field in fields]
for statistic in statistics:
self.assertTrue(statistic.value is None, statistics)
statistics[0].value = 'hello world'
statistics[1].value = 64.5
with data.db.session_context() as s:
# check the diary entry was persisted
journal = DiaryTopicJournal.get_or_add(s, '2018-09-29')
cache = journal.cache(s)
diary = s.query(DiaryTopic).filter(DiaryTopic.title == 'Status').one()
fields = diary.fields
self.assertEqual(len(fields), 6, list(enumerate(map(str, fields))))
self.assertEqual(fields[0].statistic_name.name, 'notes')
self.assertEqual(fields[1].statistic_name.name, 'weight', str(fields[1]))
statistics = [cache[field] for field in fields]
self.assertEqual(statistics[1].value, 64.5)
self.assertEqual(statistics[1].type, StatisticJournalType.FLOAT)
# generate summary stats
SummaryCalculator(data, schedule='m').run()
SummaryCalculator(data, schedule='y').run()
with data.db.session_context() as s:
# check the summary stats
diary = s.query(DiaryTopic).filter(DiaryTopic.title == 'Status').one()
weights = s.query(StatisticJournal).join(StatisticName). \
filter(StatisticName.owner == diary, StatisticName.name == 'weight'). \
order_by(StatisticJournal.time).all()
self.assertEqual(len(weights), 2)
self.assertEqual(weights[1].value, 64.5)
self.assertEqual(len(weights[1].measures), 2, weights[1].measures)
self.assertEqual(weights[1].measures[0].rank, 1)
self.assertEqual(weights[1].measures[0].percentile, 100, weights[1].measures[0].percentile)
n = s.query(count(StatisticJournalFloat.id)).scalar()
self.assertEqual(n, 4, n)
n = s.query(count(StatisticJournalInteger.id)).scalar()
self.assertEqual(n, 6, n)
m_avg = s.query(StatisticJournalFloat).join(StatisticName). \
filter(StatisticName.name == 'avg-month-weight').one()
self.assertEqual(m_avg.value, 64.5)
y_avg = s.query(StatisticJournalFloat).join(StatisticName). \
filter(StatisticName.name == 'avg-year-weight').one()
self.assertEqual(y_avg.value, 64.5)
month = s.query(Interval).filter(Interval.schedule == 'm').first()
self.assertEqual(month.start, to_date('2018-09-01'), month.start)
self.assertEqual(month.finish, to_date('2018-10-01'), month.finish)
with data.db.session_context() as s:
# delete the diary entry
journal = DiaryTopicJournal.get_or_add(s, '2018-09-29')
s.delete(journal)
with data.db.session_context() as s:
# check the delete cascade
self.assertEqual(s.query(count(DiaryTopicJournal.id)).scalar(), 1)
# this should be zero because the Intervals were automatically deleted
# (well, now +1 because there's an original default weight)
for source in s.query(Source).all():
print(source)
for journal in s.query(StatisticJournal).all():
print(journal)
self.assertEqual(s.query(count(Source.id)).scalar(), 37, list(map(str, s.query(Source).all()))) # constants
self.assertEqual(s.query(count(StatisticJournalText.id)).scalar(), 13, s.query(count(StatisticJournalText.id)).scalar())
self.assertEqual(s.query(count(StatisticJournal.id)).scalar(), 22, s.query(count(StatisticJournal.id)).scalar())
def test_bikes(self):
with TemporaryDirectory() as f:
args, data = bootstrap_dir(f, m(V), '5', configurator=default)
with data.db.session_context() as s:
with self.assertRaises(Exception) as ctx:
start(s, 'bike', 'cotic', '2020-03-24', False)
self.assertTrue('--force' in str(ctx.exception), ctx.exception)
start(s, 'bike', 'cotic', '2020-03-24', True)
# run('sqlite3 %s ".dump"' % f.name, shell=True)
with self.assertRaises(Exception) as ctx:
start(s, 'xxxx', 'marin', None, False)
self.assertTrue('--force' in str(ctx.exception), ctx.exception)
start(s, 'bike', 'marin', None, False)
with self.assertRaises(Exception) as ctx:
change(s, 'cotic', 'chain', 'sram', '2018-02-01', False,
False)
self.assertTrue('--force' in str(ctx.exception))
change(s, 'cotic', 'chain', 'sram', None, True, True)
change(s, 'cotic', 'chain', 'kcm', '2018-01-01', False, False)
change(s, 'cotic', 'chain', 'sram', '2018-05-01', False, False)
change(s, 'cotic', 'chain', 'kcm', '2018-07-01', False, False)
change(s, 'cotic', 'chain', 'sram', '2018-04-01', False, False)
with self.assertRaises(Exception) as ctx:
start(s, 'bike', 'bike', None, True)
self.assertTrue('bike' in str(ctx.exception), ctx.exception)
with self.assertRaises(Exception) as ctx:
start(s, 'bike', 'sram', None, True)
self.assertTrue('sram' in str(ctx.exception), ctx.exception)
start(s, 'bike', 'bowman', None, False)
change(s, 'bowman', 'chain', 'sram', None, False, True)
self.assert_command(
'''item: cotic 2020-03-24 -
`-component: chain
+-model: sram 2020-03-24 -
+-model: kcm 2018-01-01 - 2018-04-01
+-model: sram 2018-05-01 - 2018-07-01
+-model: kcm 2018-07-01 - 2020-03-24
`-model: sram 2018-04-01 - 2018-05-01
''', show, s, 'cotic', None)
self.assert_command(
f'''group: bike
+-item: cotic
| +-Age
| | +-n: 1
| | `-sum: {days('2020-03-24')}
| `-component: chain
| +-model: sram
| | `-Age
| | +-n: 1
| | `-sum: {days('2020-03-24')}
| +-model: kcm
| | `-Age
| | +-n: 1
| | `-sum: 90
| +-model: sram
| | `-Age
| | +-n: 1
| | `-sum: 61
| +-model: kcm
| | `-Age
| | +-n: 1
| | `-sum: 631
| `-model: sram
| `-Age
| +-n: 1
| `-sum: 30
+-item: marin
| `-Age
| +-n: 1
| `-sum: 0
`-item: bowman
+-Age
| +-n: 1
| `-sum: 0
`-component: chain
`-model: sram
`-Age
+-n: 1
`-sum: 0
''', statistics, s, 'bike')
self.assert_command(
f'''item: cotic
+-Age
| +-n: 1
| `-sum: {days('2020-03-24')}
`-component: chain
+-model: sram
| `-Age
| +-n: 1
| `-sum: {days('2020-03-24')}
+-model: kcm
| `-Age
| +-n: 1
| `-sum: 90
+-model: sram
| `-Age
| +-n: 1
| `-sum: 61
+-model: kcm
| `-Age
| +-n: 1
| `-sum: 631
`-model: sram
`-Age
+-n: 1
`-sum: 30
''', statistics, s, 'cotic')
self.assert_command(
f'''component: chain
+-model: sram
| `-Age
| +-n: 1
| `-sum: {days('2020-03-24')}
+-model: kcm
| `-Age
| +-n: 1
| `-sum: 90
+-model: sram
| `-Age
| +-n: 1
| `-sum: 61
+-model: kcm
| `-Age
| +-n: 1
| `-sum: 631
+-model: sram
| `-Age
| +-n: 1
| `-sum: 30
`-model: sram
`-Age
+-n: 1
`-sum: 0
''', statistics, s, 'chain')
self.assert_command(
f'''model: sram
`-Age
+-n: 1
`-sum: {days('2020-03-24')}
''', statistics, s, 'sram')
finish(s, 'bowman', None, False)
with self.assertRaises(Exception) as ctx:
finish(s, 'bowman', None, False)
self.assertTrue('retired' in str(ctx.exception), ctx.exception)
self.assertEqual(
len(
KitModel.get_all(s, KitItem.get(s, 'cotic'),
KitComponent.get(s, 'chain'))), 5)
undo(s, 'cotic', 'chain', 'sram', None, True)
self.assertEqual(
len(
KitModel.get_all(s, KitItem.get(s, 'cotic'),
KitComponent.get(s, 'chain'))), 2)
undo(s, 'cotic', 'chain', 'kcm', None, True)
self.assertEqual(
len(
KitModel.get_all(s, KitItem.get(s, 'cotic'),
KitComponent.get(s, 'chain'))), 0)
undo(s, 'bowman', 'chain', 'sram', None, True)
self.assertFalse(KitComponent.get(s, 'chain', require=False))