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 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_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_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 bilinear(self):
with NamedTemporaryFile() as f:
bootstrap_file(f, m(V), '5', mm(DEV), configurator=default)
args, sys, db = bootstrap_file(f, m(V), '5', 'constants', 'set',
SRTM1_DIR,
'/home/andrew/archive/srtm1')
constants(args, sys, db)
with db.session_context() as s:
yield bilinear_elevation_from_constant(s)
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)
