Model/model_data/EpcClean.py

from typing import List, Dict, Any
from collections import Counter

from model_data.epc_attributes.RoofAttributes import RoofAttributes
from model_data.epc_attributes.FloorAttributes import FloorAttributes


class EpcClean:
    """
    Container for methods which we utilise for epc_attributes EPC data
    """

    CLEANING_FIELDS: List[str] = [
        "roof-description",
        "floor-description",
        "walls-description",
        "mainheat-description"
    ]

    def __init__(self, data: List[Dict[str, Any]]) -> None:
        """
        EpcClean constructor.

        :param data: List of dictionaries containing EPC data.
        """
        self.data: List[Dict[str, Any]] = data
        self.unique_vals: Dict[str, Any] = {}
        self.cleaned: Dict[str, List[Any]] = {}

    def clean(self) -> None:
        """
        Cleans the EPC data, mapping text fields to property epc_attributes.
        """
        self._init_empty_cleaned_obj()

        for field in self.CLEANING_FIELDS:
            self.unique_vals[field] = Counter([v[field] for v in self.data])

        self.clean_wrapper(field="roof-description", cleaning_cls=RoofAttributes)

        self.clean_wrapper(field="floor-description", cleaning_cls=FloorAttributes)

    def _init_empty_cleaned_obj(self) -> None:
        """
        Initializes an empty object for cleaned data.
        """
        self.cleaned = {field: [] for field in self.CLEANING_FIELDS}

    def clean_wrapper(self, field, cleaning_cls):
        for description in self.unique_vals[field].keys():
            self.cleaned[field].append(
                {
                    "original_description": description,
                    **cleaning_cls(description).process()
                }
            )