def timeindex():
outd = dict(
start="2020-01-01T00:00:00+00:00",
end="2020-12-31T23:59:59+00:00",
step="15:00",
timezone="UTC",
)
return outd, models.JobTimeindex(**outd)
def test_jobtimeindex(start, end, tz):
out = models.JobTimeindex(start=start, end=end, step="15:00", timezone=tz)
assert out.step == dt.timedelta(minutes=15)
assert out.timezone == "UTC"
pd.testing.assert_index_equal(
out._time_range,
pd.date_range(
start="2020-01-01T00:00:00",
end="2020-12-31T23:59:59",
freq="15min",
tz="UTC",
),
)
def new_job(system_id):
return models.CalculatePerformanceJobParameters(
system_id=system_id,
calculate="expected performance",
time_parameters=models.JobTimeindex(
start="2020-01-01T00:00:00+00:00",
end="2020-12-31T23:59:59+00:00",
step="15:00",
timezone="UTC",
),
weather_granularity="system",
irradiance_type="poa",
temperature_type="module",
)
def test_jobtimeindex_validation(start, end, step, tz):
with pytest.raises(ValidationError):
models.JobTimeindex(start=start, end=end, step=step, timezone=tz)
def test_jobtimeindex(start, end, tz, exp):
out = models.JobTimeindex(start=start, end=end, step="15:00", timezone=tz)
assert out.step == dt.timedelta(minutes=15)
assert out.timezone == tz or "UTC"
pd.testing.assert_index_equal(out._time_range, exp)
def test_reindex_timeseries(inp, jti, exp_df, exp_extra, exp_missing):
new, extra, missing = utils.reindex_timeseries(inp,
models.JobTimeindex(**jti))
pd.testing.assert_frame_equal(new, exp_df)
assert extra == exp_extra
assert missing == exp_missing
def test_reindex_shifting(inp, exp, jti, ats):
inpdf = pd.DataFrame({"time": inp, "other": list(range(len(inp)))})
out = utils.reindex_timeseries(inpdf, models.JobTimeindex(**jti), ats)[0]
pd.testing.assert_frame_equal(out, exp)