def test_calc(inputdata, expectedvalue):
# 検証用
with open("inputdata.json",'w') as fw:
json.dump(inputdata, fw, indent=4, ensure_ascii=False)
if expectedvalue[0] != "err": # passが期待されるテスト
# 計算実行
resultJson = airconditioning.calc_energy(inputdata)
if convert2number(expectedvalue[0],0) == 0:
diff_Dc = 0
else:
diff_Dc = (abs(resultJson["Qroom"]["1F_room1"]["QroomDc_anual"] - convert2number(expectedvalue[0],0))) / abs( convert2number(expectedvalue[0],0) )
if convert2number(expectedvalue[1],0) == 0:
diff_Dh = 0
else:
diff_Dh = (abs(resultJson["Qroom"]["1F_room1"]["QroomDh_anual"] - convert2number(expectedvalue[1],0))) / abs( convert2number(expectedvalue[1],0) )
# 比較（0.01%まで）
assert diff_Dc < 0.0001
assert diff_Dh < 0.0001
else:
# エラーが期待される場合
with pytest.raises(Exception):
resultJson = airconditioning.calc_energy(inputdata)
def test_calc(inputdata, expectedvalue):
# 計算実行
resultJson = airconditioning.calc_energy(inputdata)
diff_Eac = (abs(resultJson["E_airconditioning"] -
expectedvalue)) / abs(expectedvalue)
# 比較（0.01%まで）
assert diff_Eac < 0.0001
def test_calc(inputdata, expectedvalue):
# 検証用
with open("inputdata.json", 'w') as fw:
json.dump(inputdata, fw, indent=4, ensure_ascii=False)
# 計算実行
resultJson = airconditioning.calc_energy(inputdata)
diff_Eac = (abs(resultJson["E_airconditioning"] -
expectedvalue)) / abs(expectedvalue)
# 比較（0.01%まで）
assert diff_Eac < 0.0001
# 出力
with open(inputfile_name_split[0] + "_input.json",'w') as fw:
json.dump(inputdata, fw, indent=4, ensure_ascii=False, cls = MyEncoder)
#------------------------------------
# 空気調和設備の計算の実行
#------------------------------------
# 実行
resultdata_AC = {}
if exec_calculation:
try:
if inputdata["AirConditioningZone"]: # AirConditioningZone が 空 でなければ
resultdata_AC = airconditioning.calc_energy(inputdata, DEBUG = False)
# CGSの計算に必要となる変数
resultJson_for_CGS["AC"] = resultdata_AC["for_CGS"]
# 設計一次エネ・基準一次エネに追加
calc_reuslt["設計一次エネルギー消費量 [MJ]"] += resultdata_AC["E_airconditioning"]
calc_reuslt["基準一次エネルギー消費量 [MJ]"] += resultdata_AC["Es_airconditioning"]
calc_reuslt["設計一次エネルギー消費量（空調） [MJ]"] = resultdata_AC["E_airconditioning"]
calc_reuslt["基準一次エネルギー消費量（空調） [MJ]"] = resultdata_AC["Es_airconditioning"]
calc_reuslt["BEI_AC"] = math.ceil(resultdata_AC["BEI_AC"] * 100) / 100
else:
resultdata_AC = {
"message": "空気調和設備はありません。"
}
# 入力データの読み込み
with open(filename, 'r') as f:
inputdata = json.load(f)
# 地域
inputdata["Building"]["Region"] = str(testdata[3]).replace(
"地域", "")
# 冷熱源
inputdata["HeatsourceSystem"]["PAC1"]["冷房"]["Heatsource"][0][
"HeatsourceType"] = testdata[1]
# 温熱源
inputdata["HeatsourceSystem"]["PAC1"]["暖房"]["Heatsource"][0][
"HeatsourceType"] = testdata[2]
# 実行
resultJson = airconditioning.calc_energy(inputdata)
# 結果
resultALL = [
str(resultJson["E_airconditioning"]),
str(resultJson["ENERGY"]["E_fan"] * bc.fprime),
str(resultJson["ENERGY"]["E_aex"] * bc.fprime),
str(resultJson["ENERGY"]["E_pump"] * bc.fprime),
str(resultJson["ENERGY"]["E_refsysr"]),
str(resultJson["ENERGY"]["E_refac"] * bc.fprime),
str(resultJson["ENERGY"]["E_pumpP"] * bc.fprime),
str(resultJson["ENERGY"]["E_ctfan"] * bc.fprime),
str(resultJson["ENERGY"]["E_ctpump"] * bc.fprime)
]
with open("resultALL.txt", 'a') as fw: