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88 lines
3.5 KiB
Python
88 lines
3.5 KiB
Python
import re
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from BaseUtility import Definitions
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from etl.epc_clean.epc_attributes.attribute_utils import clean_description, handle_mixed_translation
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from etl.epc_clean.utils import correct_spelling
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class LightingAttributes(Definitions):
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WELSH_TEXT = {
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"goleuadau ynni-isel ym mhob un ogçör mannau gosod": "low energy lighting in all fixed outlets",
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"goleuadau ynni-isel ym mhob un o r mannau gosod": "low energy lighting in all fixed outlets",
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"dim goleuadau ynni-isel": "no low energy lighting",
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"goleuadau ynni-isel ym mhob un o'r mannau gosod": 'Low energy lighting in all fixed outlets',
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"effeithlonrwydd goleuo da": 'good lighting efficiency',
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"effeithlonrwydd goleuo is na'r cyfartaledd": 'below average lighting efficiency',
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"effeithlonrwydd goleuo rhagorol": "excellent lighting efficiency"
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}
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OBSERVED_ERRORS = []
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def __init__(self, description, averages):
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self.description: str = clean_description(description.lower())
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self.welsh_translation_search()
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self.description = correct_spelling(self.description)
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self.averages = averages
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# We handle seemind occurances of mixed translations
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self.description = handle_mixed_translation(self.description)
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self.nodata = (not description) or (description in self.DATA_ANOMALY_MATCHES) or (
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description in self.OBSERVED_ERRORS) or (description == "SAP05:Lighting")
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if description == "SAP05:Lighting":
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self.description = description # Reset self.description
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def welsh_translation_search(self):
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"""
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For welsh text describing the percentage of low energy lighting, we match the regular
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expression and perform the translation
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"""
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lel_match = re.search(r"goleuadau ynni-isel mewn (\d+)%? ogçör mannau gosod", self.description)
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lel_match2 = re.search(r"goleuadau ynni-isel mewn (\d+)%? o'r mannau gosod", self.description)
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if lel_match is not None or lel_match2 is not None:
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# Perform the actual translation
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percentage = lel_match.group(1) if lel_match is not None else lel_match2.group(1)
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self.description = f"low energy lighting in {percentage}% of fixed outlets"
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else:
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translation = self.WELSH_TEXT.get(self.description)
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if translation:
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self.description = translation
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def process(self):
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description = self.description
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if self.nodata:
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return {"low_energy_proportion": None}
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if 'no low energy lighting' in description:
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return {"low_energy_proportion": 0}
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if "all fixed outlets" in description:
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return {"low_energy_proportion": 1}
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if "excellent lighting efficiency" in description:
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return {"low_energy_proportion": 1}
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if ('good lighting efficiency' in description) or ('excellent lighting efficiency' in description) or \
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('below average lighting efficiency' in description):
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average = [
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x for x in self.averages if x["lighting-description"] == description
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][0]["low-energy-lighting"]
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return {
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"low_energy_proportion": average
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}
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match = re.search(r'\d+', description)
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if match:
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proportion = int(match.group()) / 100.0
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return {
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"low_energy_proportion": proportion
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}
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raise NotImplementedError("Not handled this case - investigate me")
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