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Commit b679af18 authored by Eric Duminil's avatar Eric Duminil
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Updated tests

parent ec73c2cb
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src/simstadt/results.py
View file @ b679af18
......@@ -481,10 +481,11 @@ class SolarPotentialResults(SimStadtResults):
def kpis(self) -> list[KPI]:
df = self.dataframe
return [
#TODO: Add averages too?
KPI("Annual GHI", df["GHI"].sum() / 1000, "kWh/m²", precision=1),
KPI("Average GHI", df["GHI"].mean(), "W/m²", precision=1),
KPI("Annual DHI", df["DHI"].sum() / 1000, "kWh/m²", precision=1),
KPI("Mean temperature", float(df["Ta"].mean()), "°C", precision=1),
KPI("Average DHI", df["DHI"].mean(), "W/m²", precision=1),
KPI("Average temperature", float(df["Ta"].mean()), "°C", precision=1),
]
......
tests/test_results.py
View file @ b679af18
......@@ -6,9 +6,9 @@ import pandas as pd
import pytest
from simstadt import (
KPI,
GreenWaterResults,
HeatDemandResults,
KPI,
LoadProfileResults,
PhotovoltaicResults,
SimStadtResults,
......@@ -38,12 +38,16 @@ def find_output_files(workflow_name: str) -> list[Path]:
# Heat demand (heating only)
# ---------------------------------------------------------------------------
@pytest.fixture(scope="module")
def heating_results() -> SimStadtResults:
output_files = [
TEST_REPOSITORY / "CGSC.proj/101_HeatDemand.flow/02_WeatherProcessor.step/hourly_GHI_DHI_Ta_meteonorm_Wuerzburg.prn",
TEST_REPOSITORY / "CGSC.proj/101_HeatDemand.flow/04_MonthlyEnergyBalance.step/Grombuehl_mini_Steinheilstrasse_DIN18599_HEATING.csv",
TEST_REPOSITORY / "CGSC.proj/101_HeatDemand.flow/04_MonthlyEnergyBalance.step/Grombuehl_mini_Steinheilstrasse_DIN18599_HEATING.log",
TEST_REPOSITORY
/ "CGSC.proj/101_HeatDemand.flow/02_WeatherProcessor.step/hourly_GHI_DHI_Ta_meteonorm_Wuerzburg.prn",
TEST_REPOSITORY
/ "CGSC.proj/101_HeatDemand.flow/04_MonthlyEnergyBalance.step/Grombuehl_mini_Steinheilstrasse_DIN18599_HEATING.csv",
TEST_REPOSITORY
/ "CGSC.proj/101_HeatDemand.flow/04_MonthlyEnergyBalance.step/Grombuehl_mini_Steinheilstrasse_DIN18599_HEATING.log",
]
return create_simstadt_results("Heat demand simulation for Grombühl", output_files)
......@@ -93,7 +97,10 @@ def test_heating_kpis(heating_results):
assert kpis["Storey number"].value == pytest.approx(4, abs=0.5)
assert kpis["Year of construction"].value == pytest.approx(1963, abs=0.5)
assert heating_results.kpi("Number of buildings").value == 24
assert heating_results.kpi("Specific Heating Demand").value == pytest.approx(100, abs=5)
assert heating_results.kpi("Number of buildings").unit is None
assert heating_results.kpi("Specific Heating Demand").value == pytest.approx(
100, abs=5
)
with pytest.raises(ValueError, match="No 'Not here' KPI found"):
heating_results.kpi("Not here")
assert len(kpis) == 10 # heating only
......@@ -139,33 +146,36 @@ def test_heating_repr(heating_results):
# ---------------------------------------------------------------------------
# Heat + cool demand
# Heating + cooling demand
# ---------------------------------------------------------------------------
@pytest.fixture(scope="module")
def heat_cool_results() -> SimStadtResults:
def heating_and_cooling_results() -> SimStadtResults:
return create_simstadt_results(
"Heating and cooling demand simulation for Grombühl",
find_output_files("104_HeatAndCoolDemand.flow"),
)
def test_heating_cool_result_type(heat_cool_results):
assert isinstance(heat_cool_results, HeatDemandResults)
def test_heating_and_cooling_result_type(heating_and_cooling_results):
assert isinstance(heating_and_cooling_results, HeatDemandResults)
def test_heating_cool_kpis(heat_cool_results):
kpis = kpis_by_name(heat_cool_results)
def test_heating_and_cooling_kpis(heating_and_cooling_results):
kpis = kpis_by_name(heating_and_cooling_results)
assert "Yearly Heating demand" in kpis
assert "Specific Heating Demand" in kpis
assert "Yearly Cooling demand" in kpis
assert "Specific Cooling Demand" in kpis
assert heat_cool_results.kpi("Specific Cooling Demand").value == pytest.approx(20, abs=1)
assert heating_and_cooling_results.kpi("Specific Cooling Demand").value == pytest.approx(
20, abs=1
)
assert len(kpis) == 12
def test_heating_cool_diagrams(heat_cool_results):
diagrams = heat_cool_results.diagrams
def test_heating_and_cooling_diagrams(heating_and_cooling_results):
diagrams = heating_and_cooling_results.diagrams
assert len(diagrams) > 0
assert "Monthly demands" in diagrams
for diagram in diagrams.values():
......@@ -176,6 +186,7 @@ def test_heating_cool_diagrams(heat_cool_results):
# Cooling only
# ---------------------------------------------------------------------------
@pytest.fixture(scope="module")
def cooling_results() -> SimStadtResults:
return create_simstadt_results(
......@@ -203,11 +214,14 @@ def test_cooling_kpis(cooling_results):
# Green water
# ---------------------------------------------------------------------------
@pytest.fixture(scope="module")
def greenwater_results() -> SimStadtResults:
output_files = [
TEST_REPOSITORY / "CGSC.proj/102_GreenWater.flow/02_WeatherProcessor.step/hourly_GHI_DHI_Ta_meteonorm_Wuerzburg.prn",
TEST_REPOSITORY / "CGSC.proj/102_GreenWater.flow/03_GreenWater.step/Grombühl_mini_with_trees_greenwater.csv",
TEST_REPOSITORY
/ "CGSC.proj/102_GreenWater.flow/02_WeatherProcessor.step/hourly_GHI_DHI_Ta_meteonorm_Wuerzburg.prn",
TEST_REPOSITORY
/ "CGSC.proj/102_GreenWater.flow/03_GreenWater.step/Grombühl_mini_with_trees_greenwater.csv",
]
return create_simstadt_results("Green Water simulation for Grombühl", output_files)
......@@ -321,11 +335,14 @@ def test_greenwater_repr(greenwater_results):
# Photovoltaic
# ---------------------------------------------------------------------------
@pytest.fixture(scope="module")
def pv_results() -> SimStadtResults:
output_files = [
TEST_REPOSITORY / "CGSC.proj/103_PV.flow/02_WeatherProcessor.step/hourly_GHI_DHI_Ta_meteonorm_Wuerzburg.prn",
TEST_REPOSITORY / "CGSC.proj/103_PV.flow/04_PhotovoltaicPotential.step/Grombühl_mini_with_trees_meteonorm_Hay_pv_potential.csv",
TEST_REPOSITORY
/ "CGSC.proj/103_PV.flow/02_WeatherProcessor.step/hourly_GHI_DHI_Ta_meteonorm_Wuerzburg.prn",
TEST_REPOSITORY
/ "CGSC.proj/103_PV.flow/04_PhotovoltaicPotential.step/Grombühl_mini_with_trees_meteonorm_Hay_pv_potential.csv",
]
return create_simstadt_results("PV for Grombühl", output_files)
......@@ -409,10 +426,13 @@ def test_pv_no_log(pv_results):
# Edge cases
# ---------------------------------------------------------------------------
def test_greenwater_without_trees():
output_files = [
TEST_REPOSITORY / "CGSC.proj/102_GreenWater.flow/02_WeatherProcessor.step/hourly_GHI_DHI_Ta_meteonorm_Wuerzburg.prn",
TEST_REPOSITORY / "CGSC.proj/102_GreenWater.flow/03_GreenWater.step/Grombühl_mini_greenwater.csv",
TEST_REPOSITORY
/ "CGSC.proj/102_GreenWater.flow/02_WeatherProcessor.step/hourly_GHI_DHI_Ta_meteonorm_Wuerzburg.prn",
TEST_REPOSITORY
/ "CGSC.proj/102_GreenWater.flow/03_GreenWater.step/Grombühl_mini_greenwater.csv",
]
results = create_simstadt_results("Green Water without trees", output_files)
with pytest.raises(ValueError, match="any tree"):
......@@ -425,10 +445,12 @@ def test_greenwater_without_trees():
# Load profile
# ---------------------------------------------------------------------------
@pytest.fixture(scope="module")
def loadprofile_results() -> SimStadtResults:
output_files = [
LOAD_PROFILE_FLOW / "02_LoadProfileGenerator.step/MiniBuchwald_load_profile_Hourly.csv",
LOAD_PROFILE_FLOW
/ "02_LoadProfileGenerator.step/MiniBuchwald_load_profile_Hourly.csv",
]
return create_simstadt_results("Load profile for MiniBuchwald", output_files)
......@@ -475,7 +497,10 @@ def test_loadprofile_project(loadprofile_results):
def test_loadprofile_params(loadprofile_results):
assert loadprofile_results.short_name == "LoadProfile"
assert loadprofile_results.name == "LoadProfile_Template"
assert loadprofile_results.workflow_provider == "de.hftstuttgart.simstadtworkflows.energy.LoadProfileProvider"
assert (
loadprofile_results.workflow_provider
== "de.hftstuttgart.simstadtworkflows.energy.LoadProfileProvider"
)
def test_loadprofile_serialization(loadprofile_results):
......@@ -485,7 +510,9 @@ def test_loadprofile_serialization(loadprofile_results):
assert reconstructed.description == loadprofile_results.description
assert len(reconstructed.output_files) == len(loadprofile_results.output_files)
assert len(reconstructed.kpis) == 3
pd.testing.assert_frame_equal(reconstructed.dataframe, loadprofile_results.dataframe)
pd.testing.assert_frame_equal(
reconstructed.dataframe, loadprofile_results.dataframe
)
def test_loadprofile_repr(loadprofile_results):
......@@ -498,6 +525,7 @@ def test_loadprofile_repr(loadprofile_results):
# Solar potential
# ---------------------------------------------------------------------------
@pytest.fixture(scope="module")
def solar_results() -> SimStadtResults:
output_files = [
......@@ -525,9 +553,18 @@ def test_solar_kpis(solar_results):
kpis = kpis_by_name(solar_results)
assert kpis["Annual GHI"].value == pytest.approx(1143.9, abs=0.1)
assert kpis["Annual GHI"].unit == "kWh/m²"
assert kpis["Average GHI"].value == pytest.approx(130, abs=1)
assert kpis["Average GHI"].unit == "W/m²"
assert kpis["Annual DHI"].value == pytest.approx(685.1, abs=0.1)
assert kpis["Mean temperature"].value == pytest.approx(9.73, abs=0.05)
assert kpis["Mean temperature"].unit == "°C"
assert kpis["Annual DHI"].unit == "kWh/m²"
assert kpis["Average DHI"].value == pytest.approx(78, abs=1)
assert kpis["Average DHI"].unit == "W/m²"
assert kpis["Average temperature"].value == pytest.approx(9.73, abs=0.05)
assert kpis["Average temperature"].unit == "°C"
def test_solar_no_diagrams(solar_results):
......@@ -551,7 +588,7 @@ def test_solar_serialization(solar_results):
reconstructed = SimStadtResults.from_json(json_str)
assert isinstance(reconstructed, SolarPotentialResults)
assert reconstructed.description == solar_results.description
assert len(reconstructed.kpis) == 3
assert len(reconstructed.kpis) == 5
pd.testing.assert_frame_equal(reconstructed.dataframe, solar_results.dataframe)
......@@ -563,8 +600,10 @@ def test_solar_repr(solar_results):
def test_broken_simulation():
output_files = [
TEST_REPOSITORY / "CGSC.proj/103_PV.flow/02_WeatherProcessor.step/notATable.log",
TEST_REPOSITORY / "CGSC.proj/103_PV.flow/04_PhotovoltaicPotential.step/StillNotATable.png",
TEST_REPOSITORY
/ "CGSC.proj/103_PV.flow/02_WeatherProcessor.step/notATable.log",
TEST_REPOSITORY
/ "CGSC.proj/103_PV.flow/04_PhotovoltaicPotential.step/StillNotATable.png",
]
results = create_simstadt_results("FakeTests", output_files)
with pytest.raises(ValueError, match="any CSV file"):
......@@ -572,4 +611,4 @@ def test_broken_simulation():
with pytest.raises(ValueError, match="any CSV file"):
results.to_json()
with pytest.raises(ValueError, match="any CSV file"):
_ = results.kpis
results.kpis
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