Model/model_data/epc_attributes/LightingAttributes.py
2023-09-19 17:31:55 +01:00

69 lines
2.6 KiB
Python

import re
from model_data.epc_attributes.attribute_utils import clean_description
from model_data.utils import correct_spelling
class LightingAttributes:
WELSH_TEXT = {
"goleuadau ynni-isel ym mhob un ogçör mannau gosod": "low energy lighting in all fixed outlets",
"dim goleuadau ynni-isel": "no low energy lighting",
"goleuadau ynni-isel ym mhob un o'r mannau gosod": 'Low energy lighting in all fixed outlets'
}
def __init__(self, description, averages):
self.description: str = clean_description(description.lower())
self.welsh_translation_search()
self.description = correct_spelling(self.description)
self.averages = averages
def welsh_translation_search(self):
"""
For welsh text describing the percentage of low energy lighting, we match the regular
expression and perform the translation
"""
lel_match = re.search(r"goleuadau ynni-isel mewn (\d+)%? ogçör mannau gosod", self.description)
lel_match2 = re.search(r"goleuadau ynni-isel mewn (\d+)%? o'r mannau gosod", self.description)
if lel_match is not None or lel_match2 is not None:
# Perform the actual translation
percentage = lel_match.group(1) if lel_match is not None else lel_match2.group(1)
self.description = f"low energy lighting in {percentage}% of fixed outlets"
else:
translation = self.WELSH_TEXT.get(self.description)
if translation:
self.description = translation
def process(self):
description = self.description
if 'no low energy lighting' in description:
return {"low_energy_proportion": 0}
if "all fixed outlets" in description:
return {"low_energy_proportion": 1}
if "excellent lighting efficiency" in description:
return {"low_energy_proportion": 1}
if ('good lighting efficiency' in description) or ('excellent lighting efficiency' in description) or \
('below average lighting efficiency' in description):
average = [
x for x in self.averages if x["lighting-description"] == description
][0]["low-energy-lighting"]
return {
"low_energy_proportion": average
}
match = re.search(r'\d+', description)
if match:
proportion = int(match.group()) / 100.0
return {
"low_energy_proportion": proportion
}
raise NotImplementedError("Not handled this case - investigate me")