Model/epc_data/attributes/WallAttributes.py
2023-06-13 12:12:30 +01:00

53 lines
2.1 KiB
Python

import re
from typing import Dict, Union
from epc_data.attributes.attribute_utils import extract_component_types
class WallAttributes:
WALL_TYPES = ['cavity wall', 'filled cavity', 'solid brick', 'system built', 'timber frame', 'granite or whinstone',
'as built', 'cob', 'assumed', 'sandstone or limestone']
def __init__(self, description: str):
"""
:param description: Description of the walls.
"""
self.description: str = description
def process(self) -> Dict[str, Union[float, str, bool, None]]:
result: Dict[str, Union[float, str, bool, None]] = {}
description = self.description.lower()
# thermal transmittance - it can be negative which is errneous however we'll still pull it out
match = re.search(r"average thermal transmittance (-?\d+\.\d+)\s(w/m-¦k)", description)
if match:
result['thermal_transmittance'] = float(match.group(1))
result['thermal_transmittance_unit'] = match.group(2)
else:
result['thermal_transmittance'] = None
result['thermal_transmittance_unit'] = None
# wall type
result, description = extract_component_types(result, description, list_of_components=self.WALL_TYPES)
# insulation thickness - this is far from a perfect approach and we'd likely need to use nlp to do this
# generally however this is sufficient for mvp
thickness_map = {
"external insulation": "average",
"internal insulation": "average",
"partial insulation": "below average",
"no insulation": "none",
"additional insulation": "above average",
"insulated": "average"
}
for key, value in thickness_map.items():
if key in description:
result['insulation_thickness'] = value
break
else:
result['insulation_thickness'] = None
# insulation type
result['external_insulation'] = 'external insulation' in description
result['internal_insulation'] = 'internal insulation' in description
return result