from unittest.mock import patch
import numpy as np
import pandas as pd
import pytest
from powersimdata.tests.mock_scenario import MockScenario
from postreise.plot.plot_bar_shortfall import plot_bar_shortfall
mock_plant = {
"plant_id": ["A", "B", "C", "D", "E", "F", "G", "H"],
"zone_id": [301, 302, 303, 304, 305, 306, 307, 308],
"Pmax": [100, 75, 150, 30, 50, 300, 200, 80],
"Pmin": [0, 0, 0, 0, 0, 100, 10, 0],
"type": ["solar", "wind", "solar", "hydro", "wind", "solar", "ng", "wind"],
"zone_name": [
"Far West",
"North",
"West",
"South",
"North Central",
"South Central",
"Coast",
"East",
],
}
mock_solar = pd.DataFrame(
{
"A": [95, 95, 96, 94],
"C": [140, 135, 136, 144],
"F": [299, 298, 299, 298],
},
index=pd.date_range(start="2016-01-01", periods=4, freq="H"),
)
mock_wind = pd.DataFrame(
{
"B": [70, 71, 70, 72],
"E": [40, 39, 38, 41],
"H": [71, 74, 68, 69],
},
index=pd.date_range(start="2016-01-01", periods=4, freq="H"),
)
mock_pg = pd.DataFrame(
{
"A": [80, 75, 72, 81],
"B": [22, 22, 25, 20],
"C": [130, 130, 130, 130],
"D": [25, 26, 27, 28],
"E": [10, 11, 9, 12],
"F": [290, 295, 295, 294],
"G": [190, 190, 191, 190],
"H": [61, 63, 65, 67],
},
index=pd.date_range(start="2016-01-01", periods=4, freq="H"),
)
mock_demand = pd.DataFrame(
{
301: [11, 12, 13, 14],
302: [2, 3, 8, 10],
303: [38, 39, 40, 40],
304: [20, 19, 18, 17],
305: [4, 3, 2, 1],
306: [200, 250, 225, 275],
307: [100, 125, 150, 175],
308: [36, 36, 37, 38],
},
index=pd.date_range(start="2016-01-01", periods=4, freq="H"),
)
grid_attrs = {"plant": mock_plant}
scenario = MockScenario(
grid_attrs, pg=mock_pg, solar=mock_solar, wind=mock_wind, demand=mock_demand
)
scenario.info["name"] = "Best Scenario"
scenario.info["interconnect"] = "Texas"
scenario.info["start_date"] = pd.Timestamp(2016, 1, 1)
scenario.info["end_date"] = pd.Timestamp(2016, 1, 1, 3)
scenario.state.grid.interconnect = ["Texas"]
scenario.state.grid.id2zone = {
k: v for k, v in zip(mock_plant["zone_id"], mock_plant["zone_name"])
}
scenario.state.grid.zone2id = {v: k for k, v in scenario.state.grid.id2zone.items()}
target = pd.DataFrame(
{
"ce_target_fraction": [0.2437],
"allowed_resources": ["solar, wind"],
"external_ce_addl_historical_amount": [0.00],
"solar_percentage": [np.nan],
"area_type": [np.nan],
},
index=["Texas"],
)
target.index.name = "region_name"
[docs]@patch("postreise.plot.plot_bar_shortfall.Scenario", return_value=scenario)
def test_plot_bar_shortfall(monkeypatch):
plot_bar_shortfall("Western", 100, target, plot_show=False)
plot_bar_shortfall("all", 200, target, plot_show=False)
plot_bar_shortfall("Texas", 300, target, plot_show=False)
plot_bar_shortfall(
"Texas",
500,
target,
scenario_names="Everything is bigger in Texas",
baseline_scenario=1,
baseline_scenario_name="Baseline",
plot_show=False,
)
[docs]def test_plot_bar_shortfall_argument_type():
with pytest.raises(TypeError) as excinfo:
plot_bar_shortfall(
areas="all",
scenario_ids=[823, 824],
target_df="not a dataframe",
)
assert "target_df must be a pandas.DataFrame" in str(excinfo.value)
with pytest.raises(TypeError) as excinfo:
plot_bar_shortfall(
areas="all",
scenario_ids=[823, 824],
target_df=pd.DataFrame(),
strategy="collaborative",
)
assert "strategy must be a dict" in str(excinfo.value)
with pytest.raises(TypeError) as excinfo:
plot_bar_shortfall(
areas="all",
scenario_ids=[823, 824],
target_df=pd.DataFrame(),
strategy={823: "collaborative"},
scenario_names=["USA 2016", "USA 2020"],
baseline_scenario=["1", "2", "3"],
)
assert "baseline_scenario must be a str or int" in str(excinfo.value)
with pytest.raises(TypeError) as excinfo:
plot_bar_shortfall(
areas="all",
scenario_ids=[823, 824],
target_df=pd.DataFrame(),
strategy={823: "collaborative"},
scenario_names=["USA 2016", "USA 2020"],
baseline_scenario=823,
baseline_scenario_name=888,
)
assert "baseline_scenario_name must be a str" in str(excinfo.value)
[docs]def test_plot_bar_shortfall_argument_value():
with pytest.raises(ValueError) as excinfo:
plot_bar_shortfall(
areas="all",
scenario_ids=[823, 824],
target_df=pd.DataFrame(),
strategy={823: "collaborative"},
scenario_names=["USA 2016"],
)
assert "scenario_names must have same size as scenario_ids" in str(excinfo.value)
