import os import pytest from translater import ( Schedule, load_idf, copy_file, run_eplus, config, get_eplus_dirs, settings, ) def test_schedules_in_necb_specific(config): files = [ "tests/input_data/necb/NECB 2011-MediumOffice-NECB HDD Method-CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw.idf" ] idfs = {os.path.basename(file): load_idf(file) for file in files} import matplotlib.pyplot as plt for key in idfs: idf = idfs[key] s = Schedule( Name="NECB-A-Thermostat Setpoint-Heating", idf=idf, start_day_of_the_week=0 ) s.plot(slice=("2018/01/02", "2018/01/03"), drawstyle="steps-post") plt.show() def test_constant_schedule(): const = Schedule.constant_schedule() assert const.__class__.__name__ == "Schedule" idf_file = "tests/input_data/schedules/test_multizone_EP.idf" def schedules_idf(): config(cache_folder="tests/.temp/cache") idf = load_idf( idf_file, include=[ get_eplus_dirs(settings.ep_version) / "DataSets" / "TDV" / "TDV_2008_kBtu_CTZ06.csv" ], ) return idf idf = schedules_idf() schedules = list(idf.get_all_schedules(yearly_only=True).keys()) ids = [i.replace(" ", "_") for i in schedules] schedules = [ pytest.param( schedule, marks=pytest.mark.xfail( reason="Can't quite capture all possibilities " "with special days" ), ) if schedule == "POFF" else pytest.param(schedule, marks=pytest.mark.xfail(raises=NotImplementedError)) if schedule == "Cooling Setpoint Schedule" else schedule for schedule in schedules ] @pytest.fixture(params=schedules, ids=ids) def test_schedules(request, run_schedules_idf): """Create the test_data""" import pandas as pd # read original schedule idf = schedules_idf() schName = request.param orig = Schedule(Name=schName, idf=idf) print( "{name}\tType:{type}\t[{len}]\tValues:{" "values}".format( name=orig.Name, type=orig.schType, values=orig.all_values, len=len(orig.all_values), ) ) # create year:week:day version new_eps = orig.to_year_week_day() new = Schedule(Name=new_eps[0].Name, idf=idf) index = orig.series.index epv = pd.read_csv(run_schedules_idf) epv.columns = epv.columns.str.strip() epv = epv.loc[:, schName.upper() + ":Schedule Value [](Hourly)"].values expected = pd.Series(epv, index=index) print("Year: {}".format(new_eps[0].Name)) print("Weeks: {}".format([obj.Name for obj in new_eps[1]])) print("Days: {}".format([obj.Name for obj in new_eps[2]])) yield orig, new, expected @pytest.fixture(scope="module") def run_schedules_idf(config): files = run_eplus( idf_file, weather_file="tests/input_data/CAN_PQ_Montreal.Intl.AP" ".716270_CWEC.epw", annual=True, readvars=True, include=[ get_eplus_dirs(settings.ep_version) / "DataSets" / "TDV" / "TDV_2008_kBtu_CTZ06.csv" ], return_files=True, ) cache_dir = files[1][0].dirname() csv = next(iter(cache_dir.glob("*out.csv"))) yield csv def test_ep_versus_schedule(test_schedules): """Main test. Will run the idf using EnergyPlus, retrieve the csv file, create the schedules and compare""" orig, new, expected = test_schedules # slice_ = ('2018/01/01 00:00', '2018/01/08 00:00') # first week # slice_ = ('2018/05/20 12:00', '2018/05/22 12:00') slice_ = ("2018-10-05 12:00", "2018-10-07 12:00") # Holiday # slice_ = ('2018/01/01 00:00', '2018/12/31 23:00') # all year # slice_ = ('2018/04/30 12:00', '2018/05/01 12:00') # break mask = expected.values.round(3) != orig.all_values.round(3) # # region Plot # fig, ax = plt.subplots(1, 1, figsize=(5, 4)) # orig.plot(slice=slice_, ax=ax, legend=True, drawstyle='steps-post', # linestyle='dashed') # new.plot(slice=slice_, ax=ax, legend=True, drawstyle='steps-post', # linestyle='dotted') # expected.loc[slice_[0]:slice_[1]].plot(label='E+', legend=True, ax=ax, # drawstyle='steps-post', # linestyle='dashdot') # ax.set_title(orig.Name.capitalize()) # plt.show() # # endregion print(orig.series[mask]) assert ( orig.all_values.round(3)[0 : 52 * 7 * 24] == expected.round(3)[0 : 52 * 7 * 24] ).all() assert ( new.all_values.round(3)[0 : 52 * 7 * 24] == expected.round(3)[0 : 52 * 7 * 24] ).all()