def test_segment_bug(self):
user = random_test_user()
with TemporaryDirectory() as f:
config = bootstrap_db(user,
mm(BASE),
f,
m(V),
'5',
mm(DEV),
configurator=default)
paths = [
'/home/andrew/archive/fit/bike/cotic/2016-07-27-pm-z4.fit'
]
run_pipeline(config, PipelineType.PROCESS, paths=paths, force=True)
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_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_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_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_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_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)
