tidy up for demo

model_data/BoreholeClient.py

@@ -1,7 +1,7 @@
 import math
 from tqdm import tqdm
 from dbfread import DBF
-from utils import setup_logger
+from model_data.utils import setup_logger
 
 logger = setup_logger()
 

model_data/EpcClean.py

@@ -1,8 +1,14 @@
 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
+from model_data.epc_attributes.HotWaterAttributes import HotWaterAttributes
+from model_data.epc_attributes.MainFuelAttributes import MainFuelAttributes
+from model_data.epc_attributes.MainheatAttributes import MainHeatAttributes
+from model_data.epc_attributes.MainheatControlAttributes import MainheatControlAttributes
+from model_data.epc_attributes.RoofAttributes import RoofAttributes
+from model_data.epc_attributes.WallAttributes import WallAttributes
+from model_data.epc_attributes.WindowAttributes import WindowAttributes
 
 
 class EpcClean:
@@ -11,10 +17,14 @@ class EpcClean:
     """
 
     CLEANING_FIELDS: List[str] = [
-        "roof-description",
         "floor-description",
+        "hotwater-description",
+        "main-fuel",
+        "mainheat-description",
+        "main-heating-controls",
+        "roof-description",
         "walls-description",
-        "mainheat-description"
+        "windows-description",
     ]
 
     def __init__(self, data: List[Dict[str, Any]]) -> None:
@@ -36,9 +46,14 @@ class EpcClean:
         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)
+        self.clean_wrapper(field="hotwater-description", cleaning_cls=HotWaterAttributes)
+        self.clean_wrapper(field="main-fuel", cleaning_cls=MainFuelAttributes)
+        self.clean_wrapper(field="mainheat-description", cleaning_cls=MainHeatAttributes)
+        self.clean_wrapper(field="main-heating-controls", cleaning_cls=MainheatControlAttributes)
+        self.clean_wrapper(field="roof-description", cleaning_cls=RoofAttributes)
+        self.clean_wrapper(field="walls-description", cleaning_cls=WallAttributes)
+        self.clean_wrapper(field="windows-description", cleaning_cls=WindowAttributes)
 
     def _init_empty_cleaned_obj(self) -> None:
         """

model_data/app.py

@@ -1,7 +1,8 @@
 import pandas as pd
+from pprint import pprint
 from tqdm import tqdm
 import os
-from BoreholeClient import BoreholeClient
+from model_data.BoreholeClient import BoreholeClient
 from model_data.LandRegistryClient import LandRegistryClient
 
 from model_data.temp_inputs import input_data
@@ -47,9 +48,14 @@ def handler():
     )
     open_uprn_client.read()
 
+    # What's going on here?
+    # We're using Ordinance Survey Open Uprn data
+    # to find the coordinates of each address, which we will then be able to use at a later stage
     for p in input_properties:
         p.get_coordinates(open_uprn_client)
 
+    pprint(input_properties[0].coordinates)
+
     local_authorities = {p.data['local-authority'] for p in input_properties}
 
     data = []
@@ -67,6 +73,14 @@ def handler():
 
     cleaner.clean()
 
+    # example cleaned data
+    # Why do we need this stuff?
+    # https://docs.google.com/spreadsheets/d/1ek9ItDv7xHwFm_FK6B0PyOBwvi6U4qRPuncBsVlCHUA/edit#gid=0
+    cleaner.cleaned.keys()
+    floors = pd.DataFrame(cleaner.cleaned['floor-description'])
+    hotwater = pd.DataFrame(cleaner.cleaned['hotwater-description'])
+    mainheat = pd.DataFrame(cleaner.cleaned["mainheat-description"])
+
     address_meta = [
         {
             "postcode": x["postcode"].upper(),
@@ -100,7 +114,7 @@ def handler():
     property = input_properties[0]
 
     # for each property, find the nearest borehole
-
+    # This is just an example, looking at the distance from a property to a borehole
     dist_m, dist_km = borehole_client.distance_between_bng_coords(
         x1_bng=property.coordinates["x_coordinate"],
         y1_bng=property.coordinates["y_coordinate"],

model_data/epc_attributes/MainheatControlAttributes.py

@@ -67,25 +67,42 @@ class MainheatControlAttributes:
 
     def __init__(self, description: str):
         self.description: str = clean_description(description.lower())
+        self.nodata = not description
 
-        if not any(
-            self._keyword_in_description(keywords)
-            for keywords in [
-                self.THERMOSTATIC_CONTROL_KEYWORDS,
-                self.CHARGING_SYSTEM_KEYWORDS,
-                self.SWITCH_SYSTEM_KEYWORDS,
-                self.DHW_CONTROL_KEYWORDS,
-                self.COMMUNITY_HEATING_KEYWORDS,
-                self.TRVS_KEYWORDS,
-                self.NO_CONTROL_SYSTEM_KEYWORDS
-            ]
-        ):
-            raise ValueError('Invalid description')
+        if not self.nodata:
+            if not any(
+                self._keyword_in_description(keywords)
+                for keywords in [
+                    self.THERMOSTATIC_CONTROL_KEYWORDS,
+                    self.CHARGING_SYSTEM_KEYWORDS,
+                    self.SWITCH_SYSTEM_KEYWORDS,
+                    self.DHW_CONTROL_KEYWORDS,
+                    self.COMMUNITY_HEATING_KEYWORDS,
+                    self.TRVS_KEYWORDS,
+                    self.NO_CONTROL_SYSTEM_KEYWORDS
+                ]
+            ):
+                raise ValueError('Invalid description')
 
     def _keyword_in_description(self, keywords):
         return any(keyword in self.description for keyword in keywords)
 
     def process(self) -> Dict[str, Union[str, bool]]:
+
+        if self.nodata:
+            result = {
+                "thermostatic_control": False,
+                "charging_system": False,
+                "switch_system": False,
+                "no_control": False,
+                "dhw_control": False,
+                "community_heating": False,
+                "multiple_room_thermostats": False,
+                "auxiliary_systems": False,
+                "trvs": False
+            }
+            return result
+
         result: Dict[str, Union[str, bool]] = {
             "thermostatic_control": find_keyword(self.description, self.THERMOSTATIC_CONTROL_KEYWORDS),
             "charging_system": find_keyword(self.description, self.CHARGING_SYSTEM_KEYWORDS),