import datetime import random from typing import Literal, Mapping, Sequence from fincal.core import AllFrequencies, Frequency, Series, TimeSeriesCore from fincal.fincal import create_date_series class TestFrequency: def test_creation(self): D = Frequency('daily', 'days', 1, 1, 'D') assert D.days == 1 assert D.symbol == 'D' assert D.name == 'daily' assert D.value == 1 assert D.freq_type == 'days' def create_test_data( frequency: str, eomonth: bool, n: int, gaps: float, month_position: Literal["start", "middle", "end"], date_as_str: bool, as_outer_type: Literal["dict", "list"] = "list", as_inner_type: Literal["dict", "list", "tuple"] = "tuple", ) -> Sequence[tuple]: start_dates = { "start": datetime.datetime(2016, 1, 1), "middle": datetime.datetime(2016, 1, 15), "end": datetime.datetime(2016, 1, 31), } end_date = datetime.datetime(2021, 12, 31) dates = create_date_series(start_dates[month_position], end_date, frequency=frequency, eomonth=eomonth) dates = dates[:n] if gaps: num_gaps = int(len(dates) * gaps) to_remove = random.sample(dates, num_gaps) for i in to_remove: dates.remove(i) if date_as_str: dates = [i.strftime("%Y-%m-%d") for i in dates] values = [random.randint(8000, 90000) / 100 for _ in dates] data = list(zip(dates, values)) if as_outer_type == "list": if as_inner_type == "list": data = [list(i) for i in data] elif as_inner_type == "dict[1]": data = [dict((i,)) for i in data] elif as_inner_type == "dict[2]": data = [dict(date=i, value=j) for i, j in data] elif as_outer_type == "dict": data = dict(data) return data class TestAllFrequencies: def test_attributes(self): assert hasattr(AllFrequencies, 'D') assert hasattr(AllFrequencies, 'M') assert hasattr(AllFrequencies, 'Q') def test_days(self): assert AllFrequencies.D.days == 1 assert AllFrequencies.M.days == 30 assert AllFrequencies.Q.days == 91 def test_symbol(self): assert AllFrequencies.H.symbol == 'H' assert AllFrequencies.W.symbol == 'W' def test_values(self): assert AllFrequencies.H.value == 6 assert AllFrequencies.Y.value == 1 def test_type(self): assert AllFrequencies.Q.freq_type == 'months' assert AllFrequencies.W.freq_type == 'days' class TestSeries: def test_creation(self): series = Series([1, 2, 3, 4, 5, 6, 7], data_type='number') assert series.dtype == float assert series[2] == 3 dates = create_date_series('2021-01-01', '2021-01-31', frequency='D') series = Series(dates, data_type='date') assert series.dtype == datetime.datetime class TestTimeSeriesCore: data = [('2021-01-01', 220), ('2021-02-01', 230), ('2021-03-01', 240)] def test_repr_str(self): ts = TimeSeriesCore(self.data, frequency='M') assert str(ts) in repr(ts).replace('\t', ' ') data = create_test_data(frequency="D", eomonth=False, n=50, gaps=0, month_position="start", date_as_str=True) ts = TimeSeriesCore(data, frequency="D") assert '...' in str(ts) assert '...' in repr(ts) def test_creation(self): ts = TimeSeriesCore(self.data, frequency='M') assert isinstance(ts, TimeSeriesCore) assert isinstance(ts, Mapping) def test_getitem(self): ts = TimeSeriesCore(self.data, frequency='M') assert ts.dates[0] == datetime.datetime(2021, 1, 1, 0, 0) assert ts.values[0] == 220 assert ts['2021-01-01'][1] == 220 assert len(ts[ts.dates > '2021-01-01']) == 2 assert ts[ts.dates == '2021-02-01'].iloc[0][1] == 230 assert ts.iloc[2][0] == datetime.datetime(2021, 3, 1) assert len(ts.iloc[:2]) == 2 def test_contains(self): ts = TimeSeriesCore(self.data, frequency='M') assert datetime.datetime(2021, 1, 1) in ts assert '2021-01-01' in ts assert '2021-01-14' not in ts def test_items(self): ts = TimeSeriesCore(self.data, frequency='M') for i, j in ts.items(): assert j == self.data[0][1] break