Completed v0.1

archetypes.py

@@ -0,0 +1,105 @@
+import configuration as c
+import xmltodict
+import json
+from urllib.request import urlopen
+from bs4 import BeautifulSoup
+
+def process_formula(formula, hdd):
+  formula = formula.replace('( hdd < ', '').replace(') ', '').split(':')
+  for equation in formula:
+    values = equation.split('? ')
+    if len(values) == 2:
+      if float(values[0]) > hdd:
+        return float(values[1])
+    else:
+      return float(equation)
+
+with open(c.nrcan_urls, 'r') as f:
+  urls = xmltodict.parse(f.read(), force_list=['standards_per_period'])
+
+base_url_archetypes = urls['nrcan']['@base_url_archetypes']
+dictionary = {"archetypes": []}
+
+standards = urls['nrcan']['standards_per_function']
+
+for standard in standards['standard']:
+  archetype_url = f'{base_url_archetypes}{standard["file_location"]}'
+  print(archetype_url)
+  html = urlopen(archetype_url).read()
+  parsed_html = BeautifulSoup(html, features="html.parser")
+  div = parsed_html.body.findAll('div', attrs={'class': 'in'})
+  cells = str(div).replace('</td>', '').replace('\n', '').replace('</tr><tr>', '').split('<td>')
+  for period in c.heavy_light.keys():
+    for climate_zone in c.hdd_canadian_climate_zones.keys():
+
+      archetype = {}
+      function = standard['@function']
+      archetype["function"] = function
+      archetype["period_of_construction"] = period
+      archetype["climate_zone"] = climate_zone
+      archetype["average_storey_height"] = 3.5
+      if "Apartment" in function:
+        archetype["average_storey_height"] = 3.0
+      archetype["thermal_capacity"] = 200
+      archetype["extra_loses_due_thermal_bridges"] = 0.05
+      if period == '1000_1979':
+        archetype["thermal_capacity"] = 300
+        archetype["extra_loses_due_thermal_bridges"] = 0.1
+      archetype["infiltration_rate_for_ventilation_system_on"] = 0
+      archetype["infiltration_rate_for_ventilation_system_off"] = 0.3
+      if period == '1000_1979':
+        archetype["infiltration_rate_for_ventilation_system_off"] = 1.8
+      elif period == '1980_2010':
+        archetype["infiltration_rate_for_ventilation_system_off"] = 1.0
+      count = 10
+      window_wall_ratio = {"transparent_ratio": {}}
+      for cell in cells:
+        if cell == 'Gross Window-Wall Ratio':
+          count = 0
+        if count == 2:
+          window_wall_ratio["transparent_ratio"]['north'] = cell
+        if count == 3:
+          window_wall_ratio["transparent_ratio"]['east'] = cell
+        if count == 4:
+          window_wall_ratio["transparent_ratio"]['south'] = cell
+        if count == 5:
+          window_wall_ratio["transparent_ratio"]['west'] = cell
+        if count < 6:
+          count += 1
+      found = False
+      skylight_roof_ratio = {"transparent_ratio": {}}
+      for cell in cells:
+        if cell == 'Skylight-Roof Ratio':
+          found = True
+        elif found:
+          skylight_roof_ratio['transparent_ratio']['north'] = cell
+          skylight_roof_ratio['transparent_ratio']['east'] = cell
+          skylight_roof_ratio['transparent_ratio']['south'] = cell
+          skylight_roof_ratio['transparent_ratio']['west'] = cell
+          found = False
+      archetype["constructions"] = {}
+      archetype["constructions"]["OutdoorsWall"] = {
+        "opaque_surface_name": f'{period}_{climate_zone}',
+        "transparent_surface_name": f'Window_{period}_{climate_zone}',
+        "transparent_ratio": window_wall_ratio
+      }
+      archetype["constructions"]["OutdoorsRoofCeiling"] = {
+        "opaque_surface_name": f'{period}_{climate_zone}',
+        "transparent_surface_name": f'Skylight_{period}_{climate_zone}',
+        "transparent_ratio": skylight_roof_ratio
+      }
+      archetype["constructions"]["OutdoorsFloor"] = {
+        "opaque_surface_name": f'{period}_{climate_zone}'
+      }
+      archetype["constructions"]["GroundWall"] = {
+        "opaque_surface_name": f'{period}_{climate_zone}'
+      }
+      archetype["constructions"]["GroundRoofCeiling"] = {
+        "opaque_surface_name": f'{period}_{climate_zone}'
+      }
+      archetype["constructions"]["GroundFloor"] = {
+        "opaque_surface_name": f'{period}_{climate_zone}'
+      }
+      dictionary["archetypes"].append({"archetype": archetype})
+with open(f'{c.output_path}/archetypes.json', 'w') as f:
+  json.dump(dictionary, f, indent=2)

data/nrcan.xml

@@ -52,7 +52,7 @@
             <file_location>PrimarySchool/CAN_PQ_Montreal.Intl.AP.716270_CWEC/os_report/87f45397-5ef4-4df9-be41-d33c4b6d2fb7-os-report.html</file_location>
         </standard>
         <standard function="QuickServiceRestaurant">
-            <file_location>QuickServiceRestaurant/CAN_PQ_Montreal.Intl.AP.716270_CWEC/ 0bc55858-a81b-4d07-9923-1d84e8a23194-os-report.html</file_location>
+            <file_location>QuickServiceRestaurant/CAN_PQ_Montreal.Intl.AP.716270_CWEC/os_report/0bc55858-a81b-4d07-9923-1d84e8a23194-os-report.html</file_location>
         </standard>
         <standard function="RetailStandalone">
             <file_location>RetailStandalone/CAN_PQ_Montreal.Intl.AP.716270_CWEC/os_report/a3643bcb-0eea-47d4-b6b9-253ed188ec0c-os-report.html</file_location>

transparent_surfaces.py

@@ -30,7 +30,7 @@ for standard in urls['nrcan']['standards_per_period']['standard']:
         windows_dictionary['transparent_surfaces'].append(
           {
             "transparent_surface": {
-              "name": f'{standard["@period_of_construction"]}_{climate_zone}',
+              "name": f'{ table["surface"]}_{standard["@period_of_construction"]}_{climate_zone}',
               "period_of_construction": f'{standard["@period_of_construction"]}',
               "climate_zone": f'{climate_zone}',
               "shgc": c.shgc_for_canadian_climate_zones[climate_zone],