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https://github.com/louisleroy5/trnslator.git
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149 lines
3.4 KiB
Python
149 lines
3.4 KiB
Python
import os
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import translater as tr
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import pandas as pd
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import pytest
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from path import Path
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from translater import EnergySeries, get_eplus_dirs, settings
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import numpy as np
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@pytest.fixture(
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scope="module",
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params=[
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get_eplus_dirs(settings.ep_version) / "ExampleFiles" / "5ZoneNightVent1.idf",
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get_eplus_dirs(settings.ep_version)
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/ "ExampleFiles"
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/ "BasicsFiles"
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/ "AdultEducationCenter.idf",
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],
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)
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def energy_series(config, request):
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from translater import ReportData
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outputs = {
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"ep_object": "Output:Variable".upper(),
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"kwargs": {
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"Key_Value": "OCCUPY-1",
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"Variable_Name": "Schedule Value",
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"Reporting_Frequency": "Hourly",
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},
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}
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wf = "tests/input_data/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw"
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sql = tr.run_eplus(
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request.param,
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weather_file=wf,
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output_report="sql_file",
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prep_outputs=[outputs],
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annual=True,
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expandobjects=True,
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)
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report = ReportData.from_sqlite(
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sql,
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table_name=("Heating:Electricity", "Heating:Gas", "Heating:DistrictHeating"),
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)
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hl = EnergySeries.from_sqlite(
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report,
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name="Heating",
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normalize=False,
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sort_values=False,
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concurrent_sort=False,
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to_units="kWh",
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)
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yield hl
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@pytest.fixture(
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params=(["Water Heater Tank Temperature", "WaterSystems:EnergyTransfer"])
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)
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def rd(request):
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from translater import ReportData
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file = Path("tests/input_data/trnsys/HeatPumpWaterHeater.sqlite")
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rd = ReportData.from_sqlite(file, table_name=request.param)
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assert not rd.empty
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yield rd
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def test_EnergySeries(rd):
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import matplotlib.pyplot as plt
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from translater import EnergySeries
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es = EnergySeries.from_sqlite(rd)
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es.plot()
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plt.show()
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print(es)
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@pytest.mark.parametrize("kind", ["polygon", "surface", "contour"])
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def test_plot_3d(energy_series, kind):
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hl = energy_series.copy()
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hl.plot3d(
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save=True,
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axis_off=False,
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kind=kind,
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cmap="Reds",
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fig_width=4,
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fig_height=4,
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edgecolors="grey",
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linewidths=0.01,
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)
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@pytest.mark.skipif(
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os.environ.get("CI", "False").lower() == "true",
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reason="Skipping this test on CI environment.",
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)
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def test_plot_2d(energy_series):
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hl = energy_series.copy()
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hl.plot2d(
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save=True,
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axis_off=False,
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cmap="Reds",
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subplots=False,
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fig_width=6,
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fig_height=2,
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edgecolors="k",
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linewidths=0.5,
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filename=hl.name + "_heatmap",
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)
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@pytest.fixture(scope="module")
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def from_csv(config):
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file = "tests/input_data/test_profile.csv"
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df = pd.read_csv(file, index_col=[0], names=["Heat"])
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ep = tr.EnergySeries(
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df.Heat,
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units="BTU/hour",
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frequency="1H",
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to_units="kW",
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sort_values=False,
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use_timeindex=True,
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)
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# ep = ep.unit_conversion(to_units='kW')
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yield ep
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@pytest.mark.skipif(
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os.environ.get("CI", "False").lower() == "true",
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reason="Skipping this test on CI environment.",
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)
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def test_discretize(from_csv):
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epc = from_csv.copy()
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res = epc.discretize_tsam()
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res.plot()
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def test_discretize_tsam(from_csv):
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ep = from_csv.copy()
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ldc_disc = ep.discretize_tsam(noTypicalPeriods=10)
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ldc_disc.plot2d(subplots=False)
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