PyFacts/tests/test_core.py

220 lines
7.2 KiB
Python

import datetime
import random
from typing import Literal, Mapping, Sequence
import pytest
from fincal.core import AllFrequencies, Frequency, Series, TimeSeriesCore
from fincal.fincal import create_date_series
from fincal.utils import FincalOptions
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)
class TestSlicing:
data = [("2021-01-01", 220), ("2021-02-01", 230), ("2021-03-01", 240)]
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
with pytest.raises(KeyError):
ts["2021-02-03"]
subset_ts = ts[["2021-01-01", "2021-03-01"]]
assert len(subset_ts) == 2
assert isinstance(subset_ts, TimeSeriesCore)
assert subset_ts.iloc[1][1] == 240
def test_get(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.get("2021-01-01")[1] == 220
assert ts.get("2021-02-15") is None
assert ts.get("2021-02-23", -1) == -1
assert ts.get("2021-02-10", closest="previous")[1] == 230
assert ts.get("2021-02-10", closest="next")[1] == 240
FincalOptions.get_closest = "previous"
assert ts.get("2021-02-10")[1] == 230
FincalOptions.get_closest = "next"
assert ts.get("2021-02-10")[1] == 240
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
def test_special_keys(self):
ts = TimeSeriesCore(self.data, frequency="M")
dates = ts["dates"]
values = ts["values"]
assert isinstance(dates, Series)
assert isinstance(values, Series)
assert len(dates) == 3
assert len(values) == 3
assert dates[0] == datetime.datetime(2021, 1, 1, 0, 0)
assert values[0] == 220
def test_iloc_slicing(self):
ts = TimeSeriesCore(self.data, frequency="M")
assert ts.iloc[0] == (datetime.datetime(2021, 1, 1), 220)
assert ts.iloc[-1] == (datetime.datetime(2021, 3, 1), 240)
ts_slice = ts.iloc[0:2]
assert isinstance(ts_slice, TimeSeriesCore)
assert len(ts_slice) == 2
class TestTimeSeriesCoreHeadTail:
data = [
("2021-01-01", 220),
("2021-02-01", 230),
("2021-03-01", 240),
("2021-04-01", 250),
("2021-05-01", 260),
("2021-06-01", 270),
("2021-07-01", 280),
("2021-08-01", 290),
("2021-09-01", 300),
("2021-10-01", 310),
("2021-11-01", 320),
("2021-12-01", 330),
]
def test_head(self):
ts = TimeSeriesCore(self.data, frequency="M")
assert len(ts.head()) == 6
assert len(ts.head(3)) == 3
assert isinstance(ts.head(), TimeSeriesCore)
head_ts = ts.head(6)
assert head_ts.iloc[-1][1] == 270
def test_tail(self):
ts = TimeSeriesCore(self.data, frequency="M")
assert len(ts.tail()) == 6
assert len(ts.tail(8)) == 8
assert isinstance(ts.tail(), TimeSeriesCore)
tail_ts = ts.tail(6)
assert tail_ts.iloc[0][1] == 280
def test_head_tail(self):
ts = TimeSeriesCore(self.data, frequency="M")
head_tail_ts = ts.head(8).tail(2)
assert isinstance(head_tail_ts, TimeSeriesCore)
assert "2021-07-01" in head_tail_ts
assert head_tail_ts.iloc[1][1] == 290