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15b595e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 | """Tests for visualization module.
Tests that all chart generators produce valid HoloViews/hvPlot objects
without requiring a running Panel server.
"""
from __future__ import annotations
import holoviews as hv
import numpy as np
import pandas as pd
import pytest
from solar_intelligence.data_loader import generate_synthetic_solar_data
from solar_intelligence.energy_estimator import EnergyEstimator
from solar_intelligence.financial import FinancialAnalyzer
from solar_intelligence.orientation_simulator import OrientationSimulator
from solar_intelligence.solar_analysis import SolarAnalyzer
from solar_intelligence.visualization import SolarVisualizer
hv.extension("bokeh")
@pytest.fixture
def visualizer():
return SolarVisualizer(width=600, height=350)
@pytest.fixture
def dataset():
return generate_synthetic_solar_data(lat=28.6, lon=77.2, start_year=2023, end_year=2023)
@pytest.fixture
def analyzer(dataset):
return SolarAnalyzer(dataset=dataset, latitude=28.6, longitude=77.2)
@pytest.fixture
def estimator():
return EnergyEstimator(num_panels=10)
@pytest.fixture
def sim_data(dataset):
sim = OrientationSimulator(
latitude=28.6, longitude=77.2,
tilt_angles=[0, 30],
azimuths={"North": 0, "South": 180, "East": 90, "West": 270},
)
ghi = dataset["ALLSKY_SFC_SW_DWN"].values
return sim.simulate_all_orientations(ghi, year=2023)
@pytest.fixture
def sensitivity_data(dataset):
sim = OrientationSimulator(latitude=28.6, longitude=77.2)
ghi = dataset["ALLSKY_SFC_SW_DWN"].values
return sim.tilt_sensitivity_analysis(ghi, tilt_range=[0, 15, 30, 45])
@pytest.fixture
def profile_data(dataset):
sim = OrientationSimulator(
latitude=28.6, longitude=77.2,
azimuths={"South": 180, "East": 90},
)
ghi = dataset["ALLSKY_SFC_SW_DWN"].values
return sim.daily_profile_by_orientation(ghi, date="2023-06-21", directions=["South", "East"])
@pytest.fixture
def seasonal_data(dataset):
sim = OrientationSimulator(
latitude=28.6, longitude=77.2,
tilt_angles=[0, 30],
azimuths={"South": 180, "North": 0, "East": 90, "West": 270},
)
ghi = dataset["ALLSKY_SFC_SW_DWN"].values
return sim.seasonal_comparison(ghi, directions=["South", "North"])
# ---------------------------------------------------------------------------
# Irradiance Charts
# ---------------------------------------------------------------------------
class TestIrradianceCharts:
def test_monthly_irradiance_bar(self, visualizer, analyzer):
monthly = analyzer.monthly_irradiance()
chart = visualizer.monthly_irradiance_bar(monthly)
assert chart is not None
# hvplot returns an object with a plot method or is an HoloViews element
assert hasattr(chart, 'opts') or hasattr(chart, 'data')
def test_daily_irradiance_timeseries(self, visualizer, analyzer):
rolling = analyzer.rolling_average()
chart = visualizer.daily_irradiance_timeseries(rolling)
assert chart is not None
def test_seasonal_heatmap(self, visualizer, dataset):
chart = visualizer.seasonal_heatmap(dataset)
assert chart is not None
def test_clearsky_vs_actual(self, visualizer, dataset):
chart = visualizer.clearsky_vs_actual(dataset)
assert chart is not None
def test_irradiance_distribution(self, visualizer, dataset):
chart = visualizer.irradiance_distribution(dataset)
assert chart is not None
# ---------------------------------------------------------------------------
# Orientation Charts
# ---------------------------------------------------------------------------
class TestOrientationCharts:
def test_orientation_comparison_bar(self, visualizer, sim_data):
chart = visualizer.orientation_comparison_bar(sim_data, tilt=30)
assert chart is not None
def test_tilt_energy_curve(self, visualizer, sensitivity_data):
chart = visualizer.tilt_energy_curve(sensitivity_data)
assert chart is not None
def test_orientation_heatmap(self, visualizer, sim_data):
chart = visualizer.orientation_heatmap(sim_data)
assert chart is not None
def test_daily_profile_overlay(self, visualizer, profile_data):
chart = visualizer.daily_profile_overlay(profile_data)
assert chart is not None
def test_seasonal_orientation_comparison(self, visualizer, seasonal_data):
chart = visualizer.seasonal_orientation_comparison(seasonal_data)
assert chart is not None
# ---------------------------------------------------------------------------
# Energy Charts
# ---------------------------------------------------------------------------
class TestEnergyCharts:
def test_energy_projection_area(self, visualizer, dataset, estimator):
monthly = estimator.estimate_monthly_energy(dataset)
chart = visualizer.energy_projection_area(monthly)
assert chart is not None
def test_annual_energy_summary_table(self, visualizer, dataset, estimator):
summary = estimator.system_summary(dataset)
table = visualizer.annual_energy_summary_table(summary)
assert isinstance(table, hv.Table)
# ---------------------------------------------------------------------------
# Map Visualizations
# ---------------------------------------------------------------------------
class TestMapVisualization:
def test_global_solar_map(self, visualizer):
lats = np.linspace(-60, 60, 120)
lons = np.linspace(-180, 180, 360)
ghi_grid = 7 - 0.08 * np.abs(np.meshgrid(lons, lats)[1])
chart = visualizer.global_solar_map(lats, lons, ghi_grid)
assert isinstance(chart, (hv.Image, hv.Overlay))
def test_location_marker(self, visualizer):
marker = visualizer.location_marker(28.6, 77.2, "Delhi")
assert isinstance(marker, hv.Points)
def test_map_with_marker_overlay(self, visualizer):
lats = np.linspace(10, 40, 30)
lons = np.linspace(60, 100, 40)
ghi = np.random.default_rng(42).uniform(3, 7, (30, 40))
solar_map = visualizer.global_solar_map(lats, lons, ghi)
marker = visualizer.location_marker(28.6, 77.2)
combined = solar_map * marker
assert combined is not None
# ---------------------------------------------------------------------------
# Financial Charts
# ---------------------------------------------------------------------------
class TestFinancialCharts:
def test_payback_timeline(self, visualizer):
fa = FinancialAnalyzer()
savings = fa.lifetime_savings(5000)
chart = visualizer.payback_timeline(savings)
assert chart is not None
def test_carbon_savings_bar(self, visualizer):
fa = FinancialAnalyzer()
savings = fa.lifetime_savings(5000)
chart = visualizer.carbon_savings_bar(savings)
assert chart is not None
# ---------------------------------------------------------------------------
# Composite Layouts
# ---------------------------------------------------------------------------
class TestCompositeLayouts:
def test_overview_layout(self, visualizer, analyzer, dataset):
monthly = analyzer.monthly_irradiance()
rolling = analyzer.rolling_average()
layout = visualizer.create_overview_layout(monthly, rolling, dataset)
assert isinstance(layout, hv.Layout)
def test_orientation_layout(self, visualizer, sim_data, sensitivity_data,
profile_data, seasonal_data):
layout = visualizer.create_orientation_layout(
sim_data, sensitivity_data, profile_data, seasonal_data,
)
assert isinstance(layout, hv.Layout)
# ---------------------------------------------------------------------------
# Datashader Integration
# ---------------------------------------------------------------------------
class TestDatashaderIntegration:
def test_large_grid_renders(self, visualizer):
"""Test that a 1000x2000 grid (2M points) renders without error."""
lats = np.linspace(-90, 90, 1000)
lons = np.linspace(-180, 180, 2000)
lat_grid, lon_grid = np.meshgrid(lats, lons, indexing="ij")
ghi = 7 - 0.08 * np.abs(lat_grid) + np.random.default_rng(42).normal(0, 0.2, lat_grid.shape)
ghi = np.clip(ghi, 0.5, 9)
chart = visualizer.global_solar_map(lats, lons, ghi)
assert isinstance(chart, (hv.Image, hv.Overlay))
def test_datashader_rasterize_points(self):
"""Test Datashader rasterization of point cloud data."""
import datashader as ds
n = 500_000
rng = np.random.default_rng(42)
df = pd.DataFrame({
"lon": rng.uniform(-180, 180, n),
"lat": rng.uniform(-90, 90, n),
"ghi": rng.uniform(1, 9, n),
})
canvas = ds.Canvas(plot_width=400, plot_height=200)
agg = canvas.points(df, "lon", "lat", agg=ds.mean("ghi"))
assert agg.shape == (200, 400)
assert float(agg.mean()) > 0
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