def test_parseDate(value, expected, pd_timestamp):
if expected is None:
with pytest.raises(ValueError):
parseDate(value, pd_timestamp=pd_timestamp)
else:
expected = date(expected['year'], expected['month'], expected['day'])
if pd_timestamp:
expected = pd.Timestamp(expected)
assert parseDate(value, pd_timestamp=pd_timestamp) == expected
def removeRows(self, **kwargs):
""" Remove row(s) from the DataFrame by date or index.
Pass either 'dates' or 'index' kwarg.
Note that this assumes dates are unique in the object.
"""
dates = kwargs.get("dates", None)
if dates is not None:
if isinstance(dates, str):
dates = [dates]
if not isinstance(dates, list):
raise TypeError("CycleData.removeRows takes list of dates")
idx = []
for date in dates:
idx += list(self.df[self.df['Date'] == parseDate(
date, pd_timestamp=True)].index)
self.df.drop(idx, inplace=True)
self.dataChanged.emit(None)
index = kwargs.get("index", None)
if index is not None:
self.df.drop(index, inplace=True)
self.dataChanged.emit(None)
def test_tied_data(self, setup, qtbot, monkeypatch):
new = {
'Date': [parseDate("7 May 2021", pd_timestamp=True)],
'Time': [parseDuration("00:42:11")],
'Distance (km)': [25.08],
'Calories': [375.1],
'Gear': [6]
}
# don't need dialog to pop up
monkeypatch.setattr(NewPBDialog, "exec_",
lambda *args: QDialog.Accepted)
with qtbot.waitSignal(self.parent.data.dataChanged):
self.parent.data.append(new)
rowNums = [
self.pb.bestSessions.verticalHeaderItem(i).text()
for i in range(self.pb.bestSessions.rowCount())
]
assert rowNums == ["1=", "1=", "3", "4", "5"]
date0 = self.pb.bestSessions.item(0, 0).text()
assert date0 == "07 May 2021"
date1 = self.pb.bestSessions.item(1, 0).text()
assert date1 == "04 May 2021"
def __lt__(self, other):
item0 = self.text()
item1 = other.text()
item0, item1 = [
parseDate(item).strftime("%d %b %Y") for item in [item0, item1]
]
value0 = dayMonthYearToFloat(item0)
value1 = dayMonthYearToFloat(item1)
return value0 < value1
def getNewData(key):
newDataParams = {
'best month and best session':
({
'Date': [parseDate("6 May 2021", pd_timestamp=True)],
'Time': [parseDuration("00:42:15")],
'Distance (km)': [25.1],
'Calories': [375.4],
'Gear': [6]
},
"<center><span>New #2 avg. speed - </span><span style='color: #f7f13b'>35.64km/h</span>!<br>and<br><span>New best month - </span><span style='color: #f7f13b'>May 2021</span>!<br><span>Congratulations!</span></center>",
"<b>May 2021</b>: <b>150.72</b> km, <b>04:16:35</b> hours, <b>2254.2</b> calories"
),
'best month':
({
'Date': [parseDate("6 May 2021", pd_timestamp=True)],
'Time': [parseDuration("00:45:15")],
'Distance (km)': [25.1],
'Calories': [375.4],
'Gear': [6]
},
"<center><span>New best month - </span><span style='color: #f7f13b'>May 2021</span>!<br><span>Congratulations!</span></center>",
"<b>May 2021</b>: <b>150.72</b> km, <b>04:19:35</b> hours, <b>2254.2</b> calories"
),
'best session':
({
'Date': [parseDate("6 April 2021", pd_timestamp=True)],
'Time': [parseDuration("00:42:15")],
'Distance (km)': [25.1],
'Calories': [375.4],
'Gear': [6]
},
"<center><span>New #2 avg. speed - </span><span style='color: #f7f13b'>35.64km/h</span>!<br><span>Congratulations!</span></center>",
"<b>April 2021</b>: <b>155.93</b> km, <b>04:27:03</b> hours, <b>2332.1</b> calories"
)
}
return newDataParams[key]
def test_new_data_different_column(self, setup, qtbot, monkeypatch,
variables):
# test dialog message when table is sorted by Time
new = {
'Date': [parseDate("7 April 2021", pd_timestamp=True)],
'Time': [parseDuration("01:05:03")],
'Distance (km)': [25.08],
'Calories': [375.1],
'Gear': [6]
}
self.pb.bestSessions.horizontalHeader().sectionClicked.emit(1)
qtbot.wait(variables.shortWait)
# don't need dialog to pop up
monkeypatch.setattr(NewPBDialog, "exec_",
lambda *args: QDialog.Accepted)
with qtbot.waitSignal(self.parent.data.dataChanged):
self.parent.data.append(new)
expected = "<center><span>New #1 time - </span><span style='color: #f7f13b'>01:05:03</span>!<br><span>Congratulations!</span></center>"
assert self.pb.newPBdialog.label.text() == expected
def combineRows(self, date):
""" Combine all rows in the dataframe with the given data. """
i0, *idx = self.df[self.df['Date'] == parseDate(
date, pd_timestamp=True)].index
combinable = ['Time', 'Distance (km)', 'Calories', 'Avg. speed (km/h)']
for i in idx:
for name in combinable:
if name == 'Time':
t0 = hourMinSecToFloat(
parseDuration(self.df.iloc[i0][name]))
t1 = hourMinSecToFloat(parseDuration(
self.df.iloc[i][name]))
newValue = floatToHourMinSec(t0 + t1)
self.df.at[i0, name] = newValue
elif name == 'Avg. speed (km/h)':
self.df.at[i0, name] = self.df['Distance (km)'][
i0] / hourMinSecToFloat(self.df['Time'][i0])
else:
self.df.at[i0, name] += self.df.iloc[i][name]
self.df.drop(idx, inplace=True)
self.dataChanged.emit(i0)
def test_parseDate_value_error():
with pytest.raises(ValueError):
parseDate("25 Jn 2021")
def test_parseDate_type_error():
with pytest.raises(TypeError):
parseDate(25)
