43 lines
1.7 KiB
Python
43 lines
1.7 KiB
Python
import configuration as c
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import xmltodict
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import json
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from urllib.request import urlopen
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def process_formula(formula, hdd):
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formula = formula.replace('( hdd < ', '').replace(') ', '').split(':')
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for equation in formula:
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values = equation.split('? ')
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if len(values) == 2:
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if float(values[0]) > hdd:
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return float(values[1])
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else:
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return float(equation)
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with open(c.nrcan_urls, 'r') as f:
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urls = xmltodict.parse(f.read(), force_list=['standard'])
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base_url_construction = urls['nrcan']['@base_url_construction']
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windows_dictionary = {"transparent_surfaces": []}
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for standard in urls['nrcan']['standards_per_period']['standard']:
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constructions_location = standard['constructions_location']
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url = f'{base_url_construction}/{constructions_location}'
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_json = json.loads(urlopen(url).read())
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for climate_zone in c.hdd_canadian_climate_zones.keys():
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for table in _json['tables']['surface_thermal_transmittance']['table']:
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if table['surface'] in c.transparent_surfaces:
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u_value = process_formula(table['formula'], c.hdd_canadian_climate_zones[climate_zone])
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windows_dictionary['transparent_surfaces'].append(
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{
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f'{ table["surface"]}_{standard["@period_of_construction"]}_{climate_zone}': {
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"period_of_construction": f'{standard["@period_of_construction"]}',
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"climate_zone": f'{climate_zone}',
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"shgc": c.shgc_for_canadian_climate_zones[climate_zone],
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"type": table['surface'],
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"frame_ratio": 0,
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"u_value": u_value
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}
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})
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with open(f'{c.output_path}/transparent_surfaces.json', 'w') as f:
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json.dump(windows_dictionary, f, indent=2)
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