Model/epc_data/EpcClean.py
2023-06-08 13:41:50 +01:00

199 lines
7.2 KiB
Python

import re
from typing import List, Dict, Any, Union, Tuple
from collections import Counter
class EpcClean:
"""
Container for methods which we utilise for cleaning EPC data
"""
U_VALUE_REGEX = re.compile(r"(\d+\.\d+)")
UNIT_REGEX = re.compile(r"(w/m-¦k)")
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 attributes.
"""
self._init_empty_cleaned_obj()
for field in self.CLEANING_FIELDS:
self.unique_vals[field] = Counter([v[field] for v in self.data])
for description in self.unique_vals["roof-description"].keys():
self.cleaned["roof-description"].append(
{"original": description, "cleaned": self.clean_roof(description)}
)
def _init_empty_cleaned_obj(self) -> None:
"""
Initializes an empty object for cleaned data.
"""
self.cleaned = {field: [] for field in self.CLEANING_FIELDS}
@staticmethod
def _search_split_roof_description(desc: str) -> str:
"""
Searches roof descriptions and looks for key words, determining a description about the roof's insulation.
:param desc: Description to be searched.
:return: Result of the search.
"""
if desc == "insulated":
return "average"
if desc == "limited":
return "below average"
raise NotImplementedError("Handle me")
def _find_insulation_thickness(
self, description_lower: str, is_pitched: bool, is_roof_room: bool, is_flat: bool
) -> Union[int, str, None]:
"""
Finds insulation thickness in the description.
:param description_lower: Lowercase description.
:param is_pitched: Whether the roof is pitched.
:param is_roof_room: Whether there is a room in the roof.
:param is_flat: Whether the roof is flat.
:return: Insulation thickness if found, else None.
"""
if "no insulation" in description_lower:
return 0
if is_pitched:
try:
thickness = description_lower.split("pitched,")[-1].split("mm")[0].strip()
if "+" in thickness:
return thickness
try:
return int(thickness)
except ValueError as int_error:
raise ValueError(int_error)
except ValueError as _:
if "invalid input" in description_lower:
return None
desc = description_lower.split("pitched,")[-1].strip().split(" ")[0]
return self._search_split_roof_description(desc)
if is_roof_room:
desc_split_lookup = {
"ceiling insulated": "average",
"thatched": "average",
}
# Just search for specific phrases
desc_split = description_lower.split("roof room(s),")[-1].strip()
res = desc_split_lookup.get(desc_split)
if res:
return res
desc = desc_split.split(" ")[0]
return self._search_split_roof_description(desc)
if is_flat:
# Just search for specific phrases
desc = description_lower.split("flat,")[-1].lstrip().split(" ")[0]
return self._search_split_roof_description(desc)
return None
def _extract_thermal_transmittence(self, description_lower: str) -> Tuple[Union[float, None], Union[str, None]]:
"""
Extracts thermal transmittance from the description.
:param description_lower: Lowercase description.
:return: Tuple containing U-value and unit.
"""
# Find U-value
u_value = re.search(self.U_VALUE_REGEX, description_lower)
if u_value is not None:
u_value = float(u_value.group(1))
else:
u_value = None
# Find unit
unit = re.search(self.UNIT_REGEX, description_lower)
if unit is not None:
unit = unit.group(1)
else:
unit = None
return u_value, unit
def clean_roof(self, description: str) -> Dict[str, Union[str, bool, int, None]]:
"""
We aim to extract features about the roof, so we can characterise it. We will check:
- If the roof is pitched
- If there is a room roof
- if there is a loft
- If it has insulation
- if so, what degree of insulation
:param description: Description of the roof.
:return: Dictionary of attributes of the roof.
"""
description_lower = description.lower().strip()
if "another dwelling above" in description_lower or "other premises above" in description_lower:
return {
"is_pitched": False,
"is_roof_room": False,
"has_loft": False,
"insulation_thickness": 0,
"has_dwelling_above": True,
"assumed": "assumed" in description_lower,
"is_flat": "flat" in description_lower,
"is_thatched": False,
"thermal_transmittence": None,
"thermal_transmittence_unit": None,
}
is_pitched = "pitched" in description_lower
is_roof_room = "roof room" in description_lower
has_loft = "loft" in description_lower
is_flat = "flat" in description_lower
is_thatched = "thatched" in description_lower
thermal_transmittence, thermal_transmittence_unit, insulation_thickness = None, None, None
if "insulation" in description_lower or "insulated" in description_lower:
insulation_thickness = self._find_insulation_thickness(description_lower, is_pitched, is_roof_room, is_flat)
elif "thermal transmittance" in description_lower:
thermal_transmittence, thermal_transmittence_unit = self._extract_thermal_transmittence(description_lower)
elif is_thatched:
# Search for these features:
thermal_transmittence, thermal_transmittence_unit = self._extract_thermal_transmittence(description_lower)
insulation_thickness = self._find_insulation_thickness(
description_lower, is_pitched, is_roof_room, is_flat
)
else:
raise NotImplementedError("Not handles this")
attributes = {
"is_pitched": is_pitched,
"is_roof_room": is_roof_room,
"has_loft": has_loft,
"insulation_thickness": insulation_thickness,
"has_dwelling_above": False,
"assumed": "assumed" in description_lower,
"is_flat": is_flat,
"thermal_transmittence": thermal_transmittence,
"thermal_transmittence_unit": thermal_transmittence_unit
}
return attributes