def test_load_qslang():
from quantifiedme.qslang import load_df, to_series
df = load_df()
assert not df.empty
for tag in ["alcohol"]:
series = to_series(df, tag=tag)
assert not series[series != 0].empty
for subst in ["Caffeine"]:
series = to_series(df, substance=subst)
assert not series[series != 0].empty
# Check that all values in reasonable range
series_nonzero = series[series != 0]
# More than 10mg
assert (10e-6 <= series_nonzero).all()
# Less than 500mg
assert (series_nonzero <= 500e-6).all()
for subst in ["Phenibut"]:
series = to_series(df, substance=subst)
assert not series[series != 0].empty
# Check that all values in reasonable range
series_nonzero = series[series != 0]
# More than 100mg
assert (100e-6 <= series_nonzero).all()
# Less than 5000mg
assert (series_nonzero <= 5000e-6).all()
def test_load_qslang():
df = load_df()
assert not df.empty
for tag in ["alcohol"]:
series = to_series(df, tag=tag)
assert not series[series != 0].empty
for subst in ["Caffeine"]:
series = to_series(df, substance=subst)
assert not series[series != 0].empty
# Check that all values in reasonable range
series_nonzero = series[series != 0]
# More than 10mg
assert (10e-6 <= series_nonzero).all()
# Less than 500mg
assert (series_nonzero <= 500e-6).all()
for subst in ["Phenibut"]:
series = to_series(df, substance=subst)
assert not series[series != 0].empty
# Check that all values in reasonable range
series_nonzero = series[series != 0]
# More than 100mg
assert (100e-6 <= series_nonzero).all()
# Less than 5000mg
# FIXME: Seems some entries have >5000mg?
print(series_nonzero[series_nonzero >= 5000e-6])
def test_qslang_unknown_dose():
events = [
Event(timestamp=now, data={
"substance": "Caffeine",
"amount": "?g"
}),
Event(timestamp=now, data={
"substance": "Caffeine",
"amount": "100mg"
}),
Event(timestamp=now, data={
"substance": "Caffeine",
"amount": "200mg"
}),
]
df = load_df(events)
assert 0.00015 == df.iloc[0]["dose"]
def test_qslang_unknown_dose():
from quantifiedme.qslang import load_df, to_series
events = [
Event(timestamp=now, data={
"substance": "Caffeine",
"amount": "?g"
}),
Event(timestamp=now, data={
"substance": "Caffeine",
"amount": "100mg"
}),
Event(timestamp=now, data={
"substance": "Caffeine",
"amount": "200mg"
}),
]
df = load_df(events)
assert 0.00015 == df.iloc[0]["dose"]
def test_load_habitbull():
from quantifiedme.habitbull import load_df
assert not load_df().empty