45 lines
1.7 KiB
Python
45 lines
1.7 KiB
Python
|
import configuration as c
|
||
|
|
import xmltodict
|
||
|
|
import json
|
||
|
|
from urllib.request import urlopen
|
||
|
|
|
||
|
|
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=['standard'])
|
||
|
|
|
||
|
|
base_url_construction = urls['nrcan']['@base_url_construction']
|
||
|
|
windows_dictionary = {"transparent_surfaces": []}
|
||
|
|
for standard in urls['nrcan']['standards_per_period']['standard']:
|
||
|
|
constructions_location = standard['constructions_location']
|
||
|
|
url = f'{base_url_construction}/{constructions_location}'
|
||
|
|
_json = json.loads(urlopen(url).read())
|
||
|
|
for climate_zone in c.hdd_canadian_climate_zones.keys():
|
||
|
|
for table in _json['tables']['surface_thermal_transmittance']['table']:
|
||
|
|
if table['surface'] in c.transparent_surfaces:
|
||
|
|
u_value = process_formula(table['formula'], c.hdd_canadian_climate_zones[climate_zone])
|
||
|
|
windows_dictionary['transparent_surfaces'].append(
|
||
|
|
{
|
||
|
|
"transparent_surface": {
|
||
|
|
"name": f'{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],
|
||
|
|
"type": table['surface'],
|
||
|
|
"frame_ratio": 0,
|
||
|
|
"u_value": u_value
|
||
|
|
|
||
|
|
}
|
||
|
|
})
|
||
|
|
with open(f'{c.output_path}/transparent_surfaces.json', 'w') as f:
|
||
|
|
json.dump(windows_dictionary, f, indent=2)
|