def test_read_fit(example):
activity = fit.read_fit(example.path)
assert isinstance(activity, pd.DataFrame)
assert isinstance(activity.index, pd.DatetimeIndex)
included_data = set(i.value for i in example.included_data)
assert included_data <= set(activity.columns.to_list())
assert "lap" in activity.columns
assert activity["lap"].max() == example.laps - 1
assert "session" in activity.columns
assert activity["session"].max() == example.sessions - 1
def test_read_fit_metadata(example):
fit_data = fit.read_fit(example.path, metadata=True, hrv=True)
activity = fit_data["data"]
assert isinstance(activity, pd.DataFrame)
assert isinstance(activity.index, pd.DatetimeIndex)
included_data = set(i.value for i in example.included_data)
assert included_data <= set(activity.columns.to_list())
assert "lap" in activity.columns
assert activity["lap"].max() == example.laps - 1
assert "session" in activity.columns
assert activity["session"].max() == example.sessions - 1
assert "hrv" in fit_data
assert "devices" in fit_data
assert "athlete" in fit_data
def test_read_fit_no_fit():
example_tcx = sweat.examples(path="activity_4078723797.tcx")
with pytest.raises(exceptions.InvalidFitFile):
activity = fit.read_fit(example_tcx.path)
def test_read_fit_no_fit():
example_tcx = sweat.examples(path="activity_4078723797.tcx")
with pytest.raises(FitParseError):
activity = fit.read_fit(example_tcx.path)