import pandas as pd
import pytest
from prereise.gather.solardata.helpers import get_plant_id_unique_location, to_reise
[docs]def test_plant_id_unique_location_type():
arg = (1, (1, 2, 3), {"a", "b", "c"})
for a in arg:
with pytest.raises(TypeError, match="plant must be a pandas.DataFrame"):
get_plant_id_unique_location(a)
[docs]def test_plant_id_unique_location_value():
arg = (
pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]}),
pd.DataFrame({"a": [1, 2, 3], "lon": [4, 5, 6]}),
pd.DataFrame({"lat": [1, 2, 3], "b": [4, 5, 6]}),
pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]}).rename_axis("plant_id", axis=0),
pd.DataFrame({"lat": [1, 2], "b": [3, 4]}).rename_axis("plant_id", axis=0),
pd.DataFrame({"a": [1, 2], "lon": [3, 4]}).rename_axis("plant_id", axis=0),
)
for a in arg:
with pytest.raises(
ValueError,
match="data frame must have plant_id as index and lat and lon among columns",
):
get_plant_id_unique_location(a)
[docs]def test_plant_id_unique_location():
plant = pd.DataFrame(
{
"lat": [
46.6451,
35.0609,
45.8849,
37.7033,
37.7033,
35.0609,
46.6451,
46.6451,
35.0609,
46.6451,
37.7033,
45.8849,
35.0609,
46.6451,
],
"lon": [
-119.908,
-118.292,
-109.888,
-102.623,
-102.623,
-118.292,
-119.908,
-119.908,
-118.292,
-119.908,
-102.623,
-109.888,
-118.292,
-119.908,
],
}
).rename_axis("plant_id", axis=0)
result = get_plant_id_unique_location(plant)
expected = {
(-102.623, 37.7033): [3, 4, 10],
(-109.888, 45.8849): [2, 11],
(-118.292, 35.0609): [1, 5, 8, 12],
(-119.908, 46.6451): [0, 6, 7, 9, 13],
}
assert result.keys() == expected.keys()
for k in result:
assert result[k].values.tolist() == expected[k]
[docs]def test_to_reise_type():
arg = (1, (1, 2, 3), {"a", "b", "c"})
for a in arg:
with pytest.raises(TypeError, match="data must be a pandas.DataFrame"):
to_reise(a)
[docs]def test_to_reise_value():
arg = (
pd.DataFrame({"a": [1, 2, 3], "Pout": [4, 5, 6]}),
pd.DataFrame({"plant_id": [1, 2, 3], "Pout": [4, 5, 6]}),
pd.DataFrame({"ts": [1, 2, 3], "plant_id": [4, 5, 6], "ts_id": [7, 8, 9]}),
pd.DataFrame({"Pout": [1, 2, 3], "plant_id": [4, 5, 6], "ts_id": [7, 8, 9]}),
)
for a in arg:
with pytest.raises(
ValueError,
match="data frame must have Pout, plant_id, ts and ts_id among columns",
):
to_reise(a)
[docs]def test_to_reise():
data = pd.DataFrame(
{
"Pout": [
0.6451,
0.0609,
0.8849,
0.7033,
0.2033,
0.3609,
0.1851,
0.4551,
0.6609,
0.7151,
0.5333,
0.3149,
0.2909,
0.3456,
0.8207,
],
"plant_id": [0, 1, 2, 3, 4] * 3,
"ts": sorted(
[t for t in pd.date_range(start="2/4/2019", periods=3, freq="H")] * 5
),
"ts_id": sorted([1, 2, 3] * 5),
}
)
expected = pd.DataFrame(
{i: p for i, p in enumerate(data.Pout.values.reshape(3, 5).T)},
index=pd.date_range(start="2/4/2019", periods=3, freq="H"),
).rename_axis("UTC", axis=0)
assert to_reise(data).equals(expected)
