From 380fe1f5b639697ae1b5c7b36e655fc93a8d1d18 Mon Sep 17 00:00:00 2001 From: rwijtvliet Date: Thu, 21 Nov 2024 00:23:42 +0100 Subject: [PATCH] new tests with fixtures --- docs/core/pfline.rst | 50 ++-- docs/savefig/fig_hedge.png | Bin 31038 -> 32380 bytes docs/savefig/fig_offtake.png | Bin 111191 -> 115863 bytes docs/savefig/fig_plot_pfl.png | Bin 39287 -> 43904 bytes portfolyo/core/pfline/interop.py | 2 +- tests/tools/conftest.py | 27 +++ tests/tools/test_duration.py | 376 ++++++++++++++++++++++--------- tests/tools/test_right.py | 28 +-- 8 files changed, 334 insertions(+), 149 deletions(-) create mode 100644 tests/tools/conftest.py diff --git a/docs/core/pfline.rst b/docs/core/pfline.rst index f23b19e..36971f5 100644 --- a/docs/core/pfline.rst +++ b/docs/core/pfline.rst @@ -178,8 +178,9 @@ The properties ``PfLine.w``, ``.q``, ``.p`` and ``.r`` always return the informa # --- hide: stop --- import portfolyo as pf, pandas as pd index = pd.date_range('2024', freq='YS', periods=3) - input_df = pd.DataFrame({'w':[200, 220, 300], 'p': [100, 150, 200]}, index).astype({'w': 'pint[MW]', 'p': 'pint[Eur/MWh]'}) - pfl = pf.PfLine(input_df) + volume = pd.Series([200, 220, 300], index).astype('pint[MW]') + price = pd.Series([100, 150, 200], index).astype('pint[Eur/MWh]') + pfl = pf.PfLine([volume, price]) pfl.r # --- hide: start --- @@ -199,8 +200,9 @@ If we want to extract more than one timeseries, we can use the ``.df`` attribute # --- hide: start --- import portfolyo as pf, pandas as pd index = pd.date_range('2024', freq='YS', periods=3) - input_df = pd.DataFrame({'w':[200, 220, 300], 'p': [100, 150, 200]}, index).astype({'w': 'pint[MW]', 'p': 'pint[Eur/MWh]'}) - pfl = pf.PfLine(input_df) + volume = pd.Series([200, 220, 300], index).astype('pint[MW]') + price = pd.Series([100, 150, 200], index).astype('pint[Eur/MWh]') + pfl = pf.PfLine([volume, price]) # --- hide: stop --- # continuation of previous code example pfl.df @@ -222,8 +224,9 @@ The ``PfLine.index`` property returns the ``pandas.DatetimeIndex`` that applies # --- hide: start --- import portfolyo as pf, pandas as pd index = pd.date_range('2024', freq='YS', periods=3) - input_df = pd.DataFrame({'w':[200, 220, 300], 'p': [100, 150, 200]}, index).astype({'w': 'pint[MW]', 'p': 'pint[Eur/MWh]'}) - pfl = pf.PfLine(input_df) + volume = pd.Series([200, 220, 300], index).astype('pint[MW]') + price = pd.Series([100, 150, 200], index).astype('pint[Eur/MWh]') + pfl = pf.PfLine([volume, price]) # --- hide: stop --- # continuation of previous code example pfl.index @@ -237,8 +240,9 @@ For convenience, ``portfolyo`` adds a ``.duration`` and a ``right`` property to # --- hide: start --- import portfolyo as pf, pandas as pd index = pd.date_range('2024', freq='YS', periods=3) - input_df = pd.DataFrame({'w':[200, 220, 300], 'p': [100, 150, 200]}, index).astype({'w': 'pint[MW]', 'p': 'pint[Eur/MWh]'}) - pfl = pf.PfLine(input_df) + volume = pd.Series([200, 220, 300], index).astype('pint[MW]') + price = pd.Series([100, 150, 200], index).astype('pint[Eur/MWh]') + pfl = pf.PfLine([volume, price]) # --- hide: stop --- # continuation of previous code example pfl.index.duration, pfl.index.right @@ -259,8 +263,9 @@ Another slicing method is implemented with the ``.slice[]`` property. The improv # --- hide: start --- import portfolyo as pf, pandas as pd index = pd.date_range('2024', freq='YS', periods=3) - input_df = pd.DataFrame({'w':[200, 220, 300], 'p': [100, 150, 200]}, index).astype({'w': 'pint[MW]', 'p': 'pint[Eur/MWh]'}) - pfl = pf.PfLine(input_df) + volume = pd.Series([200, 220, 300], index).astype('pint[MW]') + price = pd.Series([100, 150, 200], index).astype('pint[Eur/MWh]') + pfl = pf.PfLine([volume, price]) # --- hide: stop --- # continuation of previous code example pfl.slice['2024':'2026'] # excludes 2026; 2026 interpreted as timestamp 2026-01-01 00:00:00 @@ -278,8 +283,9 @@ A portfolio line can be reindexed with ``.index()``, using another index, e.g. o # --- hide: start --- import portfolyo as pf, pandas as pd index = pd.date_range('2024', freq='YS', periods=3) - input_df = pd.DataFrame({'w':[200, 220, 300], 'p': [100, 150, 200]}, index) - pfl = pf.PfLine(input_df) + volume = pd.Series([200, 220, 300], index).astype('pint[MW]') + price = pd.Series([100, 150, 200], index).astype('pint[Eur/MWh]') + pfl = pf.PfLine([volume, price]) # --- hide: stop --- # continuation of previous code example index2 = pd.date_range('2025', freq='YS', periods=3) @@ -299,8 +305,9 @@ Portfolio lines can be concatenated with the ``portfolio.concat()`` function. Th # --- hide: start --- import portfolyo as pf, pandas as pd index = pd.date_range('2024', freq='YS', periods=3) - input_df = pd.DataFrame({'w':[200, 220, 300], 'p': [100, 150, 200]}, index).astype({'w': 'pint[MW]', 'p': 'pint[Eur/MWh]'}) - pfl = pf.PfLine(input_df) + volume = pd.Series([200, 220, 300], index).astype('pint[MW]') + price = pd.Series([100, 150, 200], index).astype('pint[Eur/MWh]') + pfl = pf.PfLine([volume, price]) # --- hide: stop --- # continuation of previous code example index2 = pd.date_range('2025', freq='YS', periods=3) # 2 years' overlap with pfl @@ -335,8 +342,9 @@ The data can be shown graphically with the ``.plot()`` method: # --- hide: start --- import portfolyo as pf, pandas as pd index = pd.date_range('2024', freq='YS', periods=3) - input_df = pd.DataFrame({'w':[200, 220, 300], 'p': [100, 150, 200]}, index).astype({'w': 'pint[MW]', 'p': 'pint[Eur/MWh]'}) - pfl = pf.PfLine(input_df) + volume = pd.Series([200, 220, 300], index).astype('pint[MW]') + price = pd.Series([100, 150, 200], index).astype('pint[Eur/MWh]') + pfl = pf.PfLine([volume, price]) # --- hide: stop --- # continuation of previous code example pfl.plot() @@ -358,8 +366,9 @@ Alternatively, the data can be saved as an Excel workbook with the ``.to_excel() # --- hide: start --- import portfolyo as pf, pandas as pd index = pd.date_range('2024', freq='YS', periods=3) - input_df = pd.DataFrame({'w':[200, 220, 300], 'p': [100, 150, 200]}, index).astype({'w': 'pint[MW]', 'p': 'pint[Eur/MWh]'}) - pfl = pf.PfLine(input_df) + volume = pd.Series([200, 220, 300], index).astype('pint[MW]') + price = pd.Series([100, 150, 200], index).astype('pint[Eur/MWh]') + pfl = pf.PfLine([volume, price]) # --- hide: stop --- # continuation of previous code example pfl.to_clipboard() @@ -378,8 +387,9 @@ Using the ``.asfreq()`` method, we can quickly and correctly downsample our data # --- hide: start --- import portfolyo as pf, pandas as pd index = pd.date_range('2024', freq='YS', periods=3) - input_df 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_union(inop1: InOp, inop2: InOp | None) -> InOp: """Combine 2 ``InOp`` objects, and raise error if same dimension is supplied twice.""" if inop2 is None: return inop1 diff --git a/tests/tools/conftest.py b/tests/tools/conftest.py new file mode 100644 index 0000000..dd97f89 --- /dev/null +++ b/tests/tools/conftest.py @@ -0,0 +1,27 @@ +import pytest + + +@pytest.fixture(params=[None, "Europe/Berlin", "Asia/Kolkata"]) +def tz(request) -> str | None: + return request.param + + +@pytest.fixture(params=["00:00", "06:00"]) +def startofday(request) -> str: + return request.param + + +@pytest.fixture(params=["15min", "h", "D", "MS", "QS", "YS"]) +def freq(request) -> str: + return request.param + + +@pytest.fixture(params=["30sec", "5min", "MS-FEB", "QS-FEB", "YS-FEB"]) +def uncommon_freq(request) -> str: + """Uncommon, but allowed, freq.""" + return request.param + + +@pytest.fixture(params=["45min", "2h"]) +def disallowed_freq(request) -> str: + return request.param diff --git a/tests/tools/test_duration.py b/tests/tools/test_duration.py index 7a5d26c..82c8789 100644 --- a/tests/tools/test_duration.py +++ b/tests/tools/test_duration.py @@ -1,116 +1,278 @@ import pandas as pd import pytest - from portfolyo import testing, tools -TESTCASES = [ # ts, freq, expected_hours - # First day of X and start of day. - ("2020-01-01", "15min", (0.25, 0.25)), - ("2020-01-01", "h", (1, 1)), - ("2020-01-01", "D", (24, 24)), - ("2020-01-01", "MS", (744, 696)), - ("2020-01-01", "YS", (8784, 8760)), - # First day of X but not start of day. - ("2020-01-01 06:00", "15min", (0.25, 0.25)), - ("2020-01-01 06:00", "h", (1, 1)), - ("2020-01-01 06:00", "D", (24, 24)), - ("2020-01-01 06:00", "MS", (744, 696)), - ("2020-01-01 06:00", "YS", (8784, 8760)), - # Not first day of X but start of day. - ("2020-04-01", "15min", (0.25, 0.25)), - ("2020-04-01", "h", (1, 1)), - ("2020-04-01", "D", (24, 24)), - ("2020-04-01", "MS", (720, 744)), - ("2020-04-01", "QS", (2184, 2208)), - ("2020-04-21", "15min", (0.25, 0.25)), - ("2020-04-21", "h", (1, 1)), - ("2020-04-21", "D", (24, 24)), - # Not first day of X and not start of day. - ("2020-04-01 06:00", "15min", (0.25, 0.25)), - ("2020-04-01 06:00", "h", (1, 1)), - ("2020-04-01 06:00", "D", (24, 24)), - ("2020-04-01 06:00", "MS", (720, 744)), - ("2020-04-01 06:00", "QS", (2184, 2208)), - ("2020-04-21 06:00", "15min", (0.25, 0.25)), - ("2020-04-21 06:00", "h", (1, 1)), - ("2020-04-21 06:00", "D", (24, 24)), -] - -TESTCASES_DST = [ # ts, freq, expected_hours - # Start of DST. - ("2020-03-29 01:00", "15min", (0.25, 0.25)), - ("2020-03-29 01:00", "h", (1, 1)), - ("2020-03-29 00:00", "D", (23, 24)), - ("2020-03-29 01:00", "D", (23, 24)), - ("2020-03-29 03:00", "D", (24, 24)), - ("2020-03-29 06:00", "D", (24, 24)), - ("2020-03-28 01:00", "D", (24, 23)), - ("2020-03-28 03:00", "D", (23, 24)), - ("2020-03-28 06:00", "D", (23, 24)), - ("2020-03-01 00:00", "MS", (743, 720)), - ("2020-03-01 06:00", "MS", (743, 720)), - ("2020-01-01 00:00", "QS", (2183, 2184)), - ("2020-01-01 06:00", "QS", (2183, 2184)), - # End of DST. - ("2020-10-25 01:00", "15min", (0.25, 0.25)), - ("2020-10-25 02:00+0200", "15min", (0.25, 0.25)), - ("2020-10-25 02:00+0100", "15min", (0.25, 0.25)), - ("2020-10-25 03:00", "15min", (0.25, 0.25)), - ("2020-10-25 01:00", "h", (1, 1)), - ("2020-10-25 02:00+0200", "h", (1, 1)), - ("2020-10-25 02:00+0100", "h", (1, 1)), - ("2020-10-25 03:00", "h", (1, 1)), - ("2020-10-25 00:00", "D", (25, 24)), - ("2020-10-25 01:00", "D", (25, 24)), - ("2020-10-25 03:00", "D", (24, 24)), - ("2020-10-25 06:00", "D", (24, 24)), - ("2020-10-24 01:00", "D", (24, 25)), - ("2020-10-24 03:00", "D", (25, 24)), - ("2020-10-24 06:00", "D", (25, 24)), - ("2020-10-01 00:00", "MS", (745, 720)), - ("2020-10-01 06:00", "MS", (745, 720)), - ("2020-10-01 00:00", "QS", (2209, 2159)), - ("2020-10-01 06:00", "QS", (2209, 2159)), -] - - -@pytest.mark.parametrize("tz", [None, "Europe/Berlin", "Asia/Kolkata"]) -@pytest.mark.parametrize(("ts", "freq", "expected_hours"), TESTCASES) -def test_duration_index(ts: str, freq: str, tz: str, expected_hours: str): - """Test if duration is correctly calculated for index.""" - do_test_index(ts, freq, tz, expected_hours) - - -@pytest.mark.parametrize(("ts", "freq", "expected_hours"), TESTCASES_DST) -def test_duration_index_dst(ts: str, freq: str, expected_hours: str): - """Test if duration is correctly calculated for index with dst-transition.""" - do_test_index(ts, freq, "Europe/Berlin", expected_hours) - - -@pytest.mark.parametrize("tz", [None, "Europe/Berlin", "Asia/Kolkata"]) -@pytest.mark.parametrize(("ts", "freq", "expected_hours"), TESTCASES) -def test_duration_stamp(ts, freq, expected_hours, tz): - """Test if duration in correctly calculated for timestamps.""" - do_test_stamp(ts, freq, tz, expected_hours) + +@pytest.fixture(params=["2020-01-01", "2020-04-01"]) +def startdate(request) -> str: + return request.param -@pytest.mark.parametrize(("ts", "freq", "expected_hours"), TESTCASES) -def test_duration_stamp_dst(ts, freq, expected_hours): - """Test if duration in correctly calculated for timestamps with dst-transition.""" - do_test_stamp(ts, freq, "Europe/Berlin", expected_hours) +@pytest.fixture +def startts(startdate, startofday, tz) -> pd.Timestamp: + return pd.Timestamp(f"{startdate} {startofday}", tz=tz) -def do_test_index(ts, freq, tz, expected_hours): +@pytest.fixture +def index(startts, freq) -> pd.DatetimeIndex: # Must specify timezone in timestamp (instead of index) to avoid confusion at DST-changeover. - i = pd.date_range(pd.Timestamp(ts, tz=tz), freq=freq, periods=2) - result = tools.duration.index(i) - float_hours = [float(h) for h in expected_hours] # turn into floats - expected = pd.Series(float_hours, i, dtype="pint[h]", name="duration") - testing.assert_series_equal(result, expected) - - -def do_test_stamp(ts, freq, tz, expected_hours): - ts = pd.Timestamp(ts, tz=tz) - result = tools.duration.stamp(ts, freq) - expected = tools.unit.Q_(expected_hours[0], "h") - assert result == expected + return pd.date_range(startts, freq=freq, periods=2) + + +@pytest.fixture +def durations(freq, startdate) -> tuple[float | int, float | int]: + """Duration in hours of first two periods in index.""" + if freq == "15min": + return (0.25, 0.25) + elif freq == "h": + return (1, 1) + elif freq == "D": + return (24, 24) + elif freq == "MS": + return (744, 696) if startdate == "2020-01-01" else (720, 744) + elif freq == "QS": + if startdate == "2020-01-01": + pytest.skip("Don't include DST start/end in this test.") + return (2184, 2208) # 2020-04-01 + elif freq == "YS": + if startdate == "2020-04-01": + pytest.skip("Only test years starting in Jan.") + return (8784, 8760) + raise ValueError() + + +@pytest.fixture +def index_durations(durations, index) -> pd.Series: + floats = pd.Series(durations, index, dtype=float) + return floats.astype("pint[h]").rename("duration") + + +@pytest.fixture +def expected_duration_stamp(durations) -> tools.unit.Q_: + return tools.unit.Q_(float(durations[0]), "h") + + +def test_index_duration(index, index_durations): + """Test if duration of index timestamps is correctly calculated.""" + result = tools.duration.index(index) + testing.assert_series_equal(result, index_durations) + + +def test_duration_stamp(startts, freq, expected_duration_stamp): + """Test if duration in correctly calculated for timestamps.""" + result = tools.duration.stamp(startts, freq) + assert result == expected_duration_stamp + + +# DST + +# . General + + +@pytest.fixture(params=["15min", "h", "D"]) +def freq_dst(request): + return request.param + + +# . Start of dst (winter -> summer). + + +@pytest.fixture(params=["2020-03-28", "2020-03-29"]) +def startdate_dst1(request) -> str: + return request.param + + +@pytest.fixture(params=["00:00", "01:00", "03:00"]) +def startofday_dst1(request) -> str: + return request.param + + +@pytest.fixture +def startts_dst1(startdate_dst1, startofday_dst1) -> pd.Timestamp: + return pd.Timestamp(f"{startdate_dst1} {startofday_dst1}", tz="Europe/Berlin") + + +@pytest.fixture +def index_dst1(startts_dst1, freq_dst) -> pd.DatetimeIndex: + return pd.date_range(startts_dst1, freq=freq_dst, periods=2) + + +@pytest.fixture +def durations_dst1( + startofday_dst1, startdate_dst1, freq_dst +) -> tuple[float | int, float | int]: + if freq_dst == "15min": + return (0.25, 0.25) + elif freq_dst == "h": + return (1, 1) + elif freq_dst == "D": + if startdate_dst1 == "2020-03-29": + return (24, 24) if startofday_dst1 == "03:00" else (23, 24) + else: # 2020-03-28 + return (23, 24) if startofday_dst1 == "03:00" else (24, 23) + else: + pytest.skip("Don't test DST with longer-than-daily frequency here.") + + +@pytest.fixture +def index_durations_dst1(durations_dst1, index_dst1) -> pd.Series: + floats = pd.Series(durations_dst1, index_dst1, dtype=float) + return floats.astype("pint[h]").rename("duration") + + +@pytest.fixture +def stamp_duration_dst1(durations_dst1) -> tools.unit.Q_: + return tools.unit.Q_(float(durations_dst1[0]), "h") + + +def test_duration_index_dst1(index_dst1, index_durations_dst1): + """Test if duration of index timestamps is correctly calculated for winter->summer dst-transition.""" + result = tools.duration.index(index_dst1) + testing.assert_series_equal(result, index_durations_dst1) + + +def test_duration_stamp_dst1(startts_dst1, freq_dst, stamp_duration_dst1): + """Test if duration in correctly calculated for timestamps winter->summer dst- + transition.""" + result = tools.duration.stamp(startts_dst1, freq_dst) + assert result == stamp_duration_dst1 + + +# . End of dst (summer -> winter). + + +@pytest.fixture(params=["2020-10-24", "2020-10-25"]) +def startdate_dst2(request) -> str: + return request.param + + +@pytest.fixture(params=["00:00", "01:00", "02:00+0200", "02:00+0100", "03:00"]) +def startofday_dst2(request) -> str: + return request.param + + +@pytest.fixture +def startts_dst2(startdate_dst2, startofday_dst2) -> pd.Timestamp: + if startdate_dst2 == "2020-10-24" and startofday_dst2 == "02:00+0100": + pytest.skip("This timestamp does not exist.") + elif startdate_dst2 == "2020-10-24" and startofday_dst2 == "02:00+0200": + pytest.skip("This testcase is too ambiguous.") + elif startdate_dst2 == "2020-10-25" and startofday_dst2 in [ + "02:00+0200", + "02:00+0100", + ]: + pytest.skip( + "Pandas thinks this is ambiguous, even though we have '+0100' or '+0200' in the timestamp." + ) + return pd.Timestamp(f"{startdate_dst2} {startofday_dst2}", tz="Europe/Berlin") + + +@pytest.fixture +def index_dst2(startts_dst2, freq_dst) -> pd.DatetimeIndex: + return pd.date_range(startts_dst2, freq=freq_dst, periods=2) + + +@pytest.fixture +def durations_dst2( + startofday_dst2, startdate_dst2, freq_dst +) -> tuple[float | int, float | int]: + if freq_dst == "15min": + return (0.25, 0.25) + elif freq_dst == "h": + return (1, 1) + elif freq_dst == "D": + if startdate_dst2 == "2020-10-25": + return (24, 24) if startofday_dst2 in ["03:00", "02:00+0100"] else (25, 24) + else: # 2020-10-24 + return (25, 24) if startofday_dst2 == "03:00" else (24, 25) + + +@pytest.fixture +def index_durations_dst2(durations_dst2, index_dst2) -> pd.Series: + floats = pd.Series(durations_dst2, index_dst2, dtype=float) + return floats.astype("pint[h]").rename("duration") + + +@pytest.fixture +def stamp_duration_dst2(durations_dst2) -> tools.unit.Q_: + return tools.unit.Q_(float(durations_dst2[0]), "h") + + +def test_duration_index_dst2(index_dst2, index_durations_dst2): + """Test if duration of index timestamps is correctly calculated for summer->winter dst-transition.""" + result = tools.duration.index(index_dst2) + testing.assert_series_equal(result, index_durations_dst2) + + +def test_duration_stamp_dst2(startts_dst2, freq_dst, stamp_duration_dst2): + """Test if duration in correctly calculated for timestamps summer->winter dst- + transition.""" + result = tools.duration.stamp(startts_dst2, freq_dst) + assert result == stamp_duration_dst2 + + +# DST, monthly values. + + +@pytest.fixture(params=["MS", "QS"]) +def freq_dst3(request) -> str: + return request.param + + +@pytest.fixture(params=["w->s", "s->w"]) +def when_dst3(request) -> str: + return request.param + + +@pytest.fixture(params=["00:00", "01:00", "06:00"]) +def startofday_dst3(request) -> str: + return request.param + + +@pytest.fixture +def startdate_dst3(freq_dst3, when_dst3) -> str: + if when_dst3 == "w->s": + return "2020-03-01" if freq_dst3 == "MS" else "2020-01-01" + return "2020-10-01" + + +@pytest.fixture +def startts_dst3(startdate_dst3, startofday_dst3) -> pd.Timestamp: + return pd.Timestamp(f"{startdate_dst3} {startofday_dst3}", tz="Europe/Berlin") + + +@pytest.fixture +def index_dst3(startts_dst3, freq_dst3) -> pd.DatetimeIndex: + return pd.date_range(startts_dst3, freq=freq_dst3, periods=2) + + +@pytest.fixture +def durations_dst3(when_dst3, freq_dst3) -> tuple[float | int, float | int]: + if when_dst3 == "w->s": + return (743, 720) if freq_dst3 == "MS" else (2183, 2184) + else: + return (745, 720) if freq_dst3 == "MS" else (2209, 2159) + + +@pytest.fixture +def index_durations_dst3(durations_dst3, index_dst3) -> pd.Series: + floats = pd.Series(durations_dst3, index_dst3, dtype=float) + return floats.astype("pint[h]").rename("duration") + + +@pytest.fixture +def stamp_duration_dst3(durations_dst3) -> tools.unit.Q_: + return tools.unit.Q_(float(durations_dst3[0]), "h") + + +def test_duration_index_dst3(index_dst3, index_durations_dst3): + """Test if duration of index timestamps is correctly calculated for dst-transition on monthly/quarterly level.""" + result = tools.duration.index(index_dst3) + testing.assert_series_equal(result, index_durations_dst3) + + +def test_duration_stamp_dst3(startts_dst3, freq_dst3, stamp_duration_dst3): + """Test if duration in correctly calculated for dst- + transition on monthly/quarterly level.""" + result = tools.duration.stamp(startts_dst3, freq_dst3) + assert result == stamp_duration_dst3 diff --git a/tests/tools/test_right.py b/tests/tools/test_right.py index e5333e7..634973e 100644 --- a/tests/tools/test_right.py +++ b/tests/tools/test_right.py @@ -4,23 +4,8 @@ from portfolyo import testing, tools -@pytest.fixture(params=[None, "Europe/Berlin", "Asia/Kolkata"]) -def tz(request) -> str | None: - return request.param - - @pytest.fixture(params=["2020-01-01", "2020-04-01"]) -def startdate(request) -> dt.date: - return dt.date.fromisoformat(request.param) - - -@pytest.fixture(params=["00:00", "06:00"]) -def startofday(request) -> str: - return request.param - - -@pytest.fixture(params=["15min", "h", "D", "MS", "QS", "YS"]) -def freq(request) -> str: +def startdate(request) -> str: return request.param @@ -43,19 +28,20 @@ def index(startts, freq, periods) -> pd.DatetimeIndex: @pytest.fixture def startts_right(startdate, startofday, freq, tz) -> pd.Timestamp: time = dt.time.fromisoformat(startofday) + date = dt.date.fromisoformat(startdate) if freq == "15min": time = time.replace(minute=time.minute + 15) elif freq == "h": time = time.replace(hour=time.hour + 1) elif freq == "D": - startdate = startdate.replace(day=startdate.day + 1) + date = date.replace(day=date.day + 1) elif freq == "MS": - startdate = startdate.replace(month=startdate.month + 1) + date = date.replace(month=date.month + 1) elif freq == "QS": - startdate = startdate.replace(month=startdate.month + 3) + date = date.replace(month=date.month + 3) elif freq == "YS": - startdate = startdate.replace(year=startdate.year + 1) - return pd.Timestamp(f"{startdate} {time}", tz=tz) + date = date.replace(year=date.year + 1) + return pd.Timestamp(f"{date} {time}", tz=tz) @pytest.fixture