Try to correct the importer

hub/helpers/constants.py

@@ -26,7 +26,6 @@ WATTS_HOUR_TO_JULES = 3600
 GALLONS_TO_QUBIC_METERS = 0.0037854117954011185
 INFILTRATION_75PA_TO_4PA = (4 / 75) ** 0.65
 
-
 # time
 SECOND = 'second'
 MINUTE = 'minute'
@@ -186,6 +185,19 @@ DAYS_A_MONTH = {JANUARY: 31,
                 NOVEMBER: 30,
                 DECEMBER: 31}
 
+HOURS_A_MONTH = {JANUARY: 744,
+                 FEBRUARY: 672,
+                 MARCH: 744,
+                 APRIL: 720,
+                 MAY: 744,
+                 JUNE: 720,
+                 JULY: 744,
+                 AUGUST: 744,
+                 SEPTEMBER: 720,
+                 OCTOBER: 744,
+                 NOVEMBER: 720,
+                 DECEMBER: 744}
+
 # data types
 ANY_NUMBER = 'any_number'
 FRACTION = 'fraction'

hub/imports/results/energy_plus.py

@@ -5,101 +5,98 @@ Copyright © 2022 Concordia CERC group
 Project Coder Guille Guillermo.GutierrezMorote@concordia.ca
 Code contributors: Saeed Ranjbar saeed.ranjbar@concordia.ca
 """
-from pathlib import Path
 import csv
 
+import hub.helpers.constants as cte
+
 
 class EnergyPlus:
   """
   Energy plus class
   """
+
+  def _extract_fields_from_headers(self, headers):
+    for header in headers:
+      header_parts = header.split(':')
+      building_name = header_parts[0]
+      variable = ':'.join(header_parts[1:]).strip()  # concat the rest and ensure that : it's reintroduced just in case
+      if variable is '':
+        continue
+      if building_name not in self._summary_variables:
+        self._building_energy_demands[variable] = []  # initialize the list of variables
+      else:
+        self._building_energy_demands[header] = []
+
   def __init__(self, city, file_path):
     self._city = city
+    self._building_energy_demands = {}
+    self._lines = []
+    self._summary_variables = ['DistrictCooling:Facility [J](Hourly)',
+                               'InteriorEquipment:Electricity [J](Hourly)',
+                               'InteriorLights:Electricity [J](Hourly) ']
+
     with open(file_path, 'r', encoding='utf8') as csv_file:
       csv_output = csv.reader(csv_file)
-      headers = next(csv_output)
+      self._headers = next(csv_output)
-      print('headers:', headers)
+      self._extract_fields_from_headers(self._headers)
-
-      """
-      building_energy_demands = {
-                                  'Heating (J)': [],
-                                  'Cooling (J)': [],
-                                  'DHW (J)': [],
-                                  'Appliances (J)': [],
-                                  'Lighting (J)': []
-                                }
-      heating_column_index = []
-      cooling_column_index = []
-      dhw_column_index = []
-      appliance_column_index = []
-      lighting_column_index = []
-      for index, header in enumerate(headers):
-        if "Total Heating" in header:
-          heating_column_index.append(index)
-        elif "Total Cooling" in header:
-          cooling_column_index.append(index)
-        elif "DHW" in header:
-          dhw_column_index.append(index)
-        elif "InteriorEquipment" in header:
-          appliance_column_index.append(index)
-        elif "InteriorLights" in header:
-          lighting_column_index.append(index)
-
       for line in csv_output:
-        total_heating_demand = 0
+        self._lines.append(line)
-        total_cooling_demand = 0
-        total_dhw_demand = 0
-        total_appliance_demand = 0
-        total_lighting_demand = 0
-        for heating_index in heating_column_index:
-          total_heating_demand += float(line[heating_index])
-        building_energy_demands['Heating (J)'].append(total_heating_demand)
-        for cooling_index in cooling_column_index:
-          total_cooling_demand += float(line[cooling_index])
-        building_energy_demands['Cooling (J)'].append(total_cooling_demand)
-        for dhw_index in dhw_column_index:
-          total_dhw_demand += float(line[dhw_index]) * 3600
-        building_energy_demands['DHW (J)'].append(total_dhw_demand)
-        for appliance_index in appliance_column_index:
-          total_appliance_demand += float(line[appliance_index])
-        building_energy_demands['Appliances (J)'].append(total_appliance_demand)
-        for lighting_index in lighting_column_index:
-          total_lighting_demand += float(line[lighting_index])
-        building_energy_demands['Lighting (J)'].append(total_lighting_demand)
-
-    return building_energy_demands
-    """
 
   def enrich(self):
     """
     Enrich the city by using the energy plus workflow output files (J)
     :return: None
     """
-    return
-    """
     for building in self._city.buildings:
-      file_name = f'{building.name}_out.csv'
+      building_energy_demands = self._building_energy_demands.copy()
-      energy_plus_output_file_path = Path(self._base_path / file_name).resolve()
+      for header in self._building_energy_demands:
-      if energy_plus_output_file_path.is_file():
+        if header == 'Zone Ideal Loads Supply Air Total Heating Energy [J](Hourly)':
-        building_energy_demands = self._building_energy_demands(energy_plus_output_file_path)
+          field_name = f'{building.name} IDEAL LOADS AIR SYSTEM:{header}'
-        building.heating_demand[cte.HOUR] = building_energy_demands['Heating (J)']
+        else:
-        building.cooling_demand[cte.HOUR] = building_energy_demands['Cooling (J)']
+          field_name = f'{building.name}:{header}'
-        building.domestic_hot_water_heat_demand[cte.HOUR] = building_energy_demands['DHW (J)']
+        position = -1
-        building.appliances_electrical_demand[cte.HOUR] = building_energy_demands['Appliances (J)']
+        if field_name in self._headers:
-        building.lighting_electrical_demand[cte.HOUR] = building_energy_demands['Lighting (J)']
+          position = self._headers.index(field_name)
-        # todo: @Saeed, this a list of ONE value with the total energy of the year, exactly the same as cte.YEAR.
+        if position == -1:
-        #  You have to use the method to add hourly values from helpers/monthly_values
+          continue
-        building.heating_demand[cte.MONTH] = MonthlyValues.get_total_month(building.heating_demand[cte.HOUR])
+        for line in self._lines:
-        building.cooling_demand[cte.MONTH] = MonthlyValues.get_total_month(building.cooling_demand[cte.HOUR])
+          building_energy_demands[header].append(line[position])
-        building.domestic_hot_water_heat_demand[cte.MONTH] = (
+      EnergyPlus._set_building_demands(building, building_energy_demands)
-          MonthlyValues.get_total_month(building.domestic_hot_water_heat_demand[cte.HOUR]))
+
-        building.appliances_electrical_demand[cte.MONTH] = (
+  @staticmethod
-          MonthlyValues.get_total_month(building.appliances_electrical_demand[cte.HOUR]))
+  def _set_building_demands(building, building_energy_demands):
-        building.lighting_electrical_demand[cte.MONTH] = (
+    print(building.name, building_energy_demands)
-          MonthlyValues.get_total_month(building.lighting_electrical_demand[cte.HOUR]))
+    building.heating_demand[cte.HOUR] = [float(x) for x in building_energy_demands[
+      'Zone Ideal Loads Supply Air Total Heating Energy [J](Hourly)']]
+    building.cooling_demand[cte.HOUR] = [float(x) for x in building_energy_demands[
+      'Zone Ideal Loads Supply Air Total Cooling Energy [J](Hourly)']]
+    building.domestic_hot_water_heat_demand[cte.HOUR] = [float(x) * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[
+      'Water Use Equipment Heating Rate [W](Hourly)']]
+    building.appliances_electrical_demand[cte.HOUR] = [float(x) * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[
+      'Other Equipment Electricity Rate [W](Hourly)']]
+    building.lighting_electrical_demand[cte.HOUR] = [float(x) * cte.WATTS_HOUR_TO_JULES for x in building_energy_demands[
+      'Zone Lights Electricity Rate [W](Hourly)']]
+    building.heating_demand[cte.MONTH] = []
+    building.cooling_demand[cte.MONTH] = []
+    building.domestic_hot_water_heat_demand[cte.MONTH] = []
+    building.appliances_electrical_demand[cte.MONTH] = []
+    building.lighting_electrical_demand[cte.MONTH] = []
+
+    start = 0
+    for hours in cte.HOURS_A_MONTH.values():
+      end = hours + start
+      building.heating_demand[cte.MONTH].append(sum(building.heating_demand[cte.HOUR][start: end]))
+      building.cooling_demand[cte.MONTH].append(sum(building.cooling_demand[cte.HOUR][start: end]))
+      building.domestic_hot_water_heat_demand[cte.MONTH].append(sum(building.domestic_hot_water_heat_demand[cte.HOUR][start: end]))
+      building.appliances_electrical_demand[cte.MONTH].append(sum(building.appliances_electrical_demand[cte.HOUR][start: end]))
+      building.lighting_electrical_demand[cte.MONTH].append(sum(building.lighting_electrical_demand[cte.HOUR][start: end]))
+      start = end
+
     building.heating_demand[cte.YEAR] = [sum(building.heating_demand[cte.MONTH])]
     building.cooling_demand[cte.YEAR] = [sum(building.cooling_demand[cte.MONTH])]
     building.domestic_hot_water_heat_demand[cte.YEAR] = [sum(building.domestic_hot_water_heat_demand[cte.MONTH])]
     building.appliances_electrical_demand[cte.YEAR] = [sum(building.appliances_electrical_demand[cte.MONTH])]
     building.lighting_electrical_demand[cte.YEAR] = [sum(building.lighting_electrical_demand[cte.MONTH])]
-    """
+
+
+

tests/test_exports.py

@@ -150,17 +150,18 @@ class TestExports(TestCase):
       csv_output_path = (self._output_path / f'{city.name}_out.csv').resolve()
       ResultFactory('cerc_idf', city, csv_output_path).enrich()
       self.assertTrue(csv_output_path.is_file())
-      """
+      for building in city.buildings:
-      for building in self._city.buildings:
         self.assertIsNotNone(building.heating_demand)
         self.assertIsNotNone(building.cooling_demand)
         self.assertIsNotNone(building.domestic_hot_water_heat_demand)
         self.assertIsNotNone(building.lighting_electrical_demand)
         self.assertIsNotNone(building.appliances_electrical_demand)
         total_demand = sum(building.heating_demand[cte.HOUR])
+        total_demand_month = sum(building.heating_demand[cte.MONTH])
+        print(building.heating_demand[cte.YEAR])
+        print(building.heating_demand[cte.YEAR][0], total_demand_month, total_demand)
         self.assertAlmostEqual(total_demand, building.heating_demand[cte.YEAR][0], 2)
         total_demand = sum(building.heating_demand[cte.MONTH])
         self.assertEqual(total_demand, building.heating_demand[cte.YEAR][0], 2)
-      """
     except Exception:
       self.fail("Idf ExportsFactory raised ExceptionType unexpectedly!")