From 4563a89bc2dd51a730b8c3c485394551b8b643bb Mon Sep 17 00:00:00 2001 From: Gourav Kumar Date: Sun, 20 Feb 2022 16:08:26 +0530 Subject: [PATCH] Added tests for date_series & some for TimeSeries --- tests/test_fincal.py | 164 ++++++++++++++++++++++++++++++++++++++----- 1 file changed, 147 insertions(+), 17 deletions(-) diff --git a/tests/test_fincal.py b/tests/test_fincal.py index df6bd61..2424667 100644 --- a/tests/test_fincal.py +++ b/tests/test_fincal.py @@ -1,21 +1,151 @@ +import datetime +import os +import random +from typing import Literal, Sequence -import unittest +import pytest +from fincal.core import Frequency +from fincal.fincal import TimeSeries, create_date_series -from fincal.fincal import TimeSeries +THIS_DIR = os.path.dirname(os.path.abspath(__file__)) +sample_data_path = os.path.join(THIS_DIR, "data") -class TestFincal(unittest.TestCase): - def test_ts(self): - data = [ - ('2020-01-01', 23), - ('2020-01-02', 24), - ('2020-01-03', 25), - ('2020-01-06', 26), - ('2020-01-07', 27), - ('2020-01-08', 28), - ('2020-01-10', 29), - ('2020-01-11', 30) - ] - time_series = TimeSeries(data) - time_series.ffill(inplace=True) - self.assertEqual(len(time_series.time_series), 11) +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 TestDateSeries: + def test_daily(self): + start_date = datetime.datetime(2020, 1, 1) + end_date = datetime.datetime(2020, 12, 31) + d = create_date_series(start_date, end_date, frequency="D") + assert len(d) == 366 + + start_date = datetime.datetime(2017, 1, 1) + end_date = datetime.datetime(2017, 12, 31) + d = create_date_series(start_date, end_date, frequency="D") + assert len(d) == 365 + + with pytest.raises(ValueError): + create_date_series(start_date, end_date, frequency="D", eomonth=True) + + def test_monthly(self): + start_date = datetime.datetime(2020, 1, 1) + end_date = datetime.datetime(2020, 12, 31) + d = create_date_series(start_date, end_date, frequency="M") + assert len(d) == 12 + + d = create_date_series(start_date, end_date, frequency="M", eomonth=True) + assert datetime.datetime(2020, 2, 29) in d + + start_date = datetime.datetime(2020, 1, 31) + d = create_date_series(start_date, end_date, frequency="M") + assert datetime.datetime(2020, 2, 29) in d + assert datetime.datetime(2020, 8, 31) in d + assert datetime.datetime(2020, 10, 30) not in d + + start_date = datetime.datetime(2020, 2, 29) + d = create_date_series(start_date, end_date, frequency="M") + assert len(d) == 11 + assert datetime.datetime(2020, 2, 29) in d + assert datetime.datetime(2020, 8, 31) not in d + assert datetime.datetime(2020, 10, 29) in d + + def test_quarterly(self): + start_date = datetime.datetime(2018, 1, 1) + end_date = datetime.datetime(2020, 12, 31) + d = create_date_series(start_date, end_date, frequency="Q") + assert len(d) == 12 + + d = create_date_series(start_date, end_date, frequency="Q", eomonth=True) + assert datetime.datetime(2020, 4, 30) in d + + start_date = datetime.datetime(2020, 1, 31) + d = create_date_series(start_date, end_date, frequency="Q") + assert len(d) == 4 + assert datetime.datetime(2020, 2, 29) not in d + assert max(d) == datetime.datetime(2020, 10, 31) + + start_date = datetime.datetime(2020, 2, 29) + d = create_date_series(start_date, end_date, frequency="Q") + assert datetime.datetime(2020, 2, 29) in d + assert datetime.datetime(2020, 8, 31) not in d + assert datetime.datetime(2020, 11, 29) in d + + d = create_date_series(start_date, end_date, frequency="Q", eomonth=True) + assert datetime.datetime(2020, 11, 30) in d + + +class TestFincal: + def test_creation(self): + data = create_test_data(frequency='D', eomonth=False, n=50, gaps=0, month_position='start', date_as_str=True) + time_series = TimeSeries(data, frequency="D") + assert len(time_series) == 50 + assert isinstance(time_series.frequency, Frequency) + assert time_series.frequency.days == 1 + + ffill_data = time_series.ffill() + assert len(ffill_data) == 50 + + data = create_test_data(frequency='D', eomonth=False, n=500, gaps=0.1, month_position='start', date_as_str=True) + time_series = TimeSeries(data, frequency="D") + assert len(time_series) == 450 + + def test_ffill(self): + data = create_test_data(frequency='D', eomonth=False, n=500, gaps=0.1, month_position='start', date_as_str=True) + time_series = TimeSeries(data, frequency="D") + ffill_data = time_series.ffill() + assert len(ffill_data) > 498 + + ffill_data = time_series.ffill(inplace=True) + assert ffill_data is None + assert len(time_series) > 498 + + def test_slicing(self): + data = create_test_data(frequency='D', eomonth=False, n=50, gaps=0, month_position='start', date_as_str=True) + time_series = TimeSeries(data, frequency="D") + assert time_series[0] is not None + assert time_series[:3] is not None + assert time_series[5:7] is not None + assert isinstance(time_series[0], tuple) + assert isinstance(time_series[10:20], list) + assert len(time_series[10:20]) == 10