Model/asset_list/app.py

import os
import json
import pandas as pd
from asset_list.AssetList import AssetList
from asset_list.mappings.property_type import PROPERTY_MAPPING
from asset_list.mappings.built_form import BUILT_FORM_MAPPINGS
from asset_list.mappings.walls import WALL_CONSTRUCTION_MAPPINGS
from asset_list.mappings.heating_systems import HEATING_MAPPINGS
from asset_list.mappings.exising_pv import EXISTING_PV_MAPPINGS
from asset_list.mappings.roof import ROOF_CONSTRUCTION_MAPPINGS
from asset_list.utils import get_data

from dotenv import load_dotenv
from backend.SearchEpc import SearchEpc

load_dotenv(dotenv_path="backend/.env")
EPC_AUTH_TOKEN = os.getenv("EPC_AUTH_TOKEN")


def extract_address1(asset_list, full_address_col, postcode_col, method="first_two_words"):
    if method == "first_two_words":
        asset_list["address1_extracted"] = asset_list[full_address_col].str.split(" ").str[:2].str.join(" ")
        return asset_list

    if method == "first_word":
        asset_list["address1_extracted"] = asset_list[full_address_col].str.split(" ").str[0]
        return asset_list

    if method == "house_number_extraction":
        asset_list["address1_extracted"] = asset_list.apply(
            lambda x: SearchEpc.get_house_number(address=x[full_address_col], postcode=x[postcode_col]),
            axis=1
        )
        return asset_list

    raise ValueError(f"Method {method} not recognized")


def app():
    """
    This app is EPC pulling data for some properties owned by Livewest

    Data request contents:
    Date of last EPC
    Reason for EPC
    SAP score on register
    Property Type
    Property Area
    Property Age
    Any Dimensions (HLP,PW,RH)
    Property Wall Construction
    Heating Type
    Secondary Heating
    Loft Insulation Depth

    Additional if possible:
    Heat loss calculations
    EPC recommendations
    Property UPRN
    """
    # Freebridge
    data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Freebridge"
    data_filename = "Domna - FCH property data May 25 copy.xlsx"
    sheet_name = "EPC Data"
    postcode_column = 'Post Code'
    address1_column = "Address 1"
    address1_method = None
    fulladdress_column = None
    address_cols_to_concat = ["Address 1", "Address 4"]
    missing_postcodes_method = None
    landlord_year_built = "Build Date"
    landlord_os_uprn = None
    landlord_property_type = "Property Type"
    landlord_built_form = None
    landlord_wall_construction = "Walls Description"
    landlord_heating_system = "Heating Type"
    landlord_existing_pv = None
    landlord_property_id = "Place Ref"
    landlord_roof_construction = "Roof Description"
    landlord_sap = "Current SAP"
    outcomes_filename = []
    outcomes_sheetname = []
    outcomes_postcode = []
    outcomes_houseno = []
    outcomes_address = []
    outcomes_id = []
    master_filepaths = []
    master_to_asset_list_filepath = None
    asset_list_header = 0
    landlord_block_reference = None
    master_id_colnames = []
    phase = True  # Inspections not complete, produce a partial view
    ecosurv_landlords = None

    data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Broadlands"
    data_filename = "Broadlands Asset List.xlsx"
    sheet_name = "Assets"
    postcode_column = 'POSTCODE'
    fulladdress_column = None
    address1_column = "Address1"
    address1_method = None
    address_cols_to_concat = ["Address1"]
    missing_postcodes_method = None
    landlord_year_built = "DATEBUILT"
    landlord_os_uprn = None
    landlord_property_type = "PropertyType"
    landlord_built_form = "PropertyType"
    landlord_wall_construction = None
    landlord_heating_system = "Heating Fuel"
    landlord_existing_pv = None
    landlord_property_id = "Row ID"
    outcomes_filename = [os.path.join(data_folder, "outcomes.xlsx")]
    outcomes_sheetname = ["Sheet1"]
    outcomes_postcode = ["Postcode"]
    outcomes_houseno = ["No."]
    outcomes_address = ["Address"]
    outcomes_id = [None]
    master_filepaths = [
        os.path.join(data_folder, "eco3 submissions.csv"),
        os.path.join(data_folder, "eco4 submissions.csv"),
    ]
    master_to_asset_list_filepath = None
    asset_list_header = 0
    landlord_block_reference = None
    master_id_colnames = [None, None]
    landlord_roof_construction = None
    phase = False
    landlord_sap = None
    ecosurv_landlords = "broadland"
    #

    # Community:
    data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Community Housing/New Programme"
    data_filename = "SUB EPC C to DOMNA - 24.07.25.xlsx"
    sheet_name = "Sheet1"
    postcode_column = 'POSTCODE'
    fulladdress_column = "ADDRESS"
    address1_column = None
    address1_method = "house_number_extraction"
    address_cols_to_concat = []
    missing_postcodes_method = None
    landlord_year_built = "BUILD DATE"
    landlord_os_uprn = None
    landlord_property_type = "PROPERTY TYPE"
    landlord_built_form = "Archetype"  # Using the inspections archetype
    landlord_wall_construction = "CONSTRUCTION TYPE"
    landlord_roof_construction = None
    landlord_heating_system = None
    landlord_existing_pv = None
    landlord_property_id = "UPRN"
    landlord_sap = None
    outcomes_filename = []
    outcomes_sheetname = []
    outcomes_postcode = []
    outcomes_houseno = []
    outcomes_id = []
    outcomes_address = []
    master_filepaths = []
    master_to_asset_list_filepath = None
    phase = False
    ecosurv_landlords = None
    asset_list_header = 1
    landlord_block_reference = None
    master_id_colnames = []

    data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Ealing/Programme Analysis"
    data_filename = "EalingProjectRebuildJW210725.xlsx"
    sheet_name = "Refine & Houses"
    postcode_column = 'Postcode'
    fulladdress_column = "Address"
    address1_column = None
    address1_method = "house_number_extraction"
    address_cols_to_concat = []
    missing_postcodes_method = None
    landlord_year_built = None
    landlord_os_uprn = None
    landlord_property_type = None  # Using the inspections property type
    landlord_built_form = None
    landlord_wall_construction = None
    landlord_roof_construction = None
    landlord_heating_system = None
    landlord_existing_pv = None
    landlord_property_id = "Property ref"
    landlord_sap = None
    outcomes_filename = []
    outcomes_sheetname = []
    outcomes_postcode = []
    outcomes_houseno = []
    outcomes_id = []
    outcomes_address = []
    master_filepaths = []
    master_to_asset_list_filepath = None
    phase = False
    ecosurv_landlords = None
    asset_list_header = 0
    landlord_block_reference = "Block Reference"
    master_id_colnames = []

    # TODO: Delete me
    data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/NRLA/"
    data_filename = "20250716 Asset List.xlsx"
    sheet_name = "Sheet 1"
    postcode_column = 'Postcode'
    fulladdress_column = "Full Address"
    address1_column = None
    address1_method = "house_number_extraction"
    address_cols_to_concat = []
    missing_postcodes_method = None
    landlord_year_built = None
    landlord_os_uprn = None
    landlord_property_type = None
    landlord_built_form = None
    landlord_wall_construction = None
    landlord_heating_system = None
    landlord_existing_pv = None
    landlord_property_id = "Row ID"
    outcomes_filename = []
    outcomes_sheetname = []
    outcomes_postcode = []
    outcomes_houseno = []
    outcomes_address = []
    outcomes_id = []
    master_filepaths = []
    master_to_asset_list_filepath = None
    asset_list_header = 0
    landlord_block_reference = None
    master_id_colnames = []
    landlord_roof_construction = None
    phase = False
    landlord_sap = None
    ecosurv_landlords = None

    # Southend
    data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Southend/July 2025 Programme"
    data_filename = "SOUTHEND - RYAN.xlsx"
    sheet_name = "July 2025 Surveys"
    postcode_column = 'Postcode'
    fulladdress_column = "Full postal address"
    address1_column = None
    address1_method = "house_number_extraction"
    address_cols_to_concat = []
    missing_postcodes_method = None
    landlord_year_built = "Property age"
    landlord_os_uprn = None
    landlord_property_type = "Property type"
    landlord_built_form = "Property type"
    landlord_wall_construction = None
    landlord_heating_system = None
    landlord_existing_pv = None
    landlord_property_id = "ID"
    outcomes_filename = []
    outcomes_sheetname = []
    outcomes_postcode = []
    outcomes_houseno = []
    outcomes_address = []
    outcomes_id = []
    master_filepaths = []
    master_to_asset_list_filepath = None
    asset_list_header = 0
    landlord_block_reference = None
    master_id_colnames = []
    landlord_roof_construction = None
    phase = False
    landlord_sap = None
    ecosurv_landlords = None

    # For Rooftop
    data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Rooftop"
    data_filename = "Rooftop Asset List - July 2025.xlsx"
    sheet_name = "Sheet1"
    postcode_column = 'post_code'
    fulladdress_column = None
    address1_column = "add_1"
    address1_method = None
    address_cols_to_concat = [
        "add_1", "add_2", "add_3", "add_4"
    ]
    missing_postcodes_method = None
    landlord_year_built = "date_built"
    landlord_os_uprn = None
    landlord_property_type = "ConstructionStyle"
    landlord_built_form = "ConstructionStyle"
    landlord_wall_construction = None
    landlord_heating_system = "Description"
    landlord_existing_pv = None
    landlord_property_id = "PropertyCode"
    outcomes_filename = [os.path.join(data_folder, "Rooftop_Outcomes.xlsx")]
    outcomes_sheetname = ["OUTCOMES"]
    outcomes_postcode = ["POSTCODE"]
    outcomes_houseno = ["NO"]
    outcomes_address = ["ADDRESS"]
    outcomes_id = [None]
    master_filepaths = [os.path.join(data_folder, "Master.csv")]
    master_to_asset_list_filepath = None
    asset_list_header = 1
    landlord_block_reference = "bl_rec_ref"
    master_id_colnames = [None]
    landlord_roof_construction = None
    phase = False
    landlord_sap = None
    ecosurv_landlords = "rooftop"

    # For Housing
    data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/For Housing/New Programme July 2025"
    data_filename = "FOR HOUSING Asset List (Combined).xlsx"
    sheet_name = "Asset List"
    postcode_column = 'Postcode'
    fulladdress_column = "Address"
    address1_column = None
    address1_method = "house_number_extraction"
    address_cols_to_concat = []
    missing_postcodes_method = None
    landlord_year_built = None
    landlord_os_uprn = None
    landlord_property_type = "Type"
    landlord_built_form = "Type"
    landlord_wall_construction = None
    landlord_heating_system = "Heating - full"
    landlord_existing_pv = None
    landlord_property_id = "UPRN"
    outcomes_filename = [os.path.join(data_folder, "Khalim Combined - for analysis.xlsx")]
    outcomes_sheetname = ["Sheet1"]
    outcomes_postcode = ["POSTCODE"]
    outcomes_houseno = ["NO"]
    outcomes_address = ["ADDRESS"]
    outcomes_id = [None]
    master_filepaths = [os.path.join(data_folder, "submissions.csv")]
    master_to_asset_list_filepath = None
    asset_list_header = 0
    landlord_block_reference = None
    master_id_colnames = [None]
    landlord_roof_construction = None
    phase = False
    landlord_sap = "SAP"
    ecosurv_landlords = "for housing"

    # CDS
    data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/CDS"
    data_filename = "Founder Estates - Asset List.xlsx"
    sheet_name = "Combined"
    postcode_column = 'Postcode'
    fulladdress_column = "Address"
    address1_column = None
    address1_method = "house_number_extraction"
    address_cols_to_concat = []
    missing_postcodes_method = None
    landlord_year_built = None
    landlord_os_uprn = None
    landlord_property_type = None
    landlord_built_form = None
    landlord_wall_construction = None
    landlord_heating_system = "Heating Type"
    landlord_existing_pv = None
    landlord_property_id = "Row ID"
    outcomes_filename = []
    outcomes_sheetname = []
    outcomes_postcode = []
    outcomes_houseno = []
    outcomes_address = []
    outcomes_id = []
    master_filepaths = [os.path.join(data_folder, "submissions.csv")]
    master_to_asset_list_filepath = None
    asset_list_header = 0
    landlord_block_reference = None
    master_id_colnames = [None]
    landlord_roof_construction = None
    phase = False
    landlord_sap = None
    ecosurv_landlords = "cds"

    # Plus Dane
    data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Plus Dane/New Programme July 2025/"
    data_filename = "20250711 Plus Dane Asset List.xlsx"
    sheet_name = "Sheet1"
    postcode_column = 'Postcode'
    fulladdress_column = "Address"
    address1_column = None
    address1_method = "house_number_extraction"
    address_cols_to_concat = []
    missing_postcodes_method = None
    landlord_year_built = "Property Age"
    landlord_os_uprn = None
    landlord_property_type = "Property Type"
    landlord_built_form = "Built Form"
    landlord_wall_construction = "Wall Construction"
    landlord_heating_system = "Full Heating System"
    landlord_existing_pv = None
    landlord_property_id = "UPRN"
    outcomes_filename = [
        os.path.join(data_folder, "Outcomes - Plus Dane_CWI_2024.xlsx"),
        os.path.join(data_folder, "Outcomes - Plus Dane_CWI_2025.xlsx"),
        os.path.join(data_folder, "Outcomes - Plus Dane_PV_2025.xlsx"),
    ]
    outcomes_sheetname = [
        "CWI & LI - 2024", "2025 - CWI", "PV - 2025",
    ]
    outcomes_postcode = ["Postcode", "Postcode", "Postcode"]
    outcomes_houseno = ["No.", "No", "No"]
    outcomes_address = ["Address", "Address", "Address"]
    outcomes_id = ["Asset Reference", "LL UPRN", "LL UPRN"]
    master_filepaths = [
        os.path.join(data_folder, "submissions/JJC-Table 1.csv"),
        os.path.join(data_folder, "submissions/SCIS-Table 1.csv")
    ]
    master_to_asset_list_filepath = None
    asset_list_header = 1
    landlord_block_reference = None
    master_id_colnames = [None, None]
    landlord_roof_construction = None
    phase = False
    landlord_sap = "SAP Rating"
    ecosurv_landlords = "plus dane"

    # data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Brentwood/July 2025 New Programme"
    # data_filename = "20250710 Asset List Brentwood.xlsx"
    # sheet_name = "Sheet1"
    # postcode_column = 'Postcode'
    # fulladdress_column = None
    # address1_column = "House Number"
    # address1_method = None
    # address_cols_to_concat = ["House Number", "Address Line 1", "Address Line 2", "Address Line 3"]
    # missing_postcodes_method = None
    # landlord_year_built = "Year Built"
    # landlord_os_uprn = None
    # landlord_property_type = "Dwelling"
    # landlord_built_form = None
    # landlord_wall_construction = None
    # landlord_heating_system = "Heating"
    # landlord_existing_pv = None
    # landlord_property_id = "UPRN"
    # outcomes_filename = [os.path.join(data_folder, "Brentwood - outcomes for analysis.xlsx")]
    # outcomes_sheetname = ["OUTCOMES"]
    # outcomes_postcode = ["POSTCODE"]
    # outcomes_houseno = [None]
    # outcomes_address = ["ADDRESS"]
    # outcomes_id = [None]
    # master_filepaths = [os.path.join(data_folder, "Submissions.csv")]
    # master_to_asset_list_filepath = None
    # asset_list_header = 1
    # landlord_block_reference = None
    # master_id_colnames = [None]
    # landlord_roof_construction = None
    # phase = False
    # landlord_sap = None
    # ecosurv_landlords = "brentwood"

    # Brentwood
    # data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Brentwood/July 2025 New Programme"
    # data_filename = "20250710 Asset List Brentwood.xlsx"
    # sheet_name = "Sheet1"
    # postcode_column = 'Postcode'
    # fulladdress_column = None
    # address1_column = "House Number"
    # address1_method = None
    # address_cols_to_concat = ["House Number", "Address Line 1", "Address Line 2", "Address Line 3"]
    # missing_postcodes_method = None
    # landlord_year_built = "Year Built"
    # landlord_os_uprn = None
    # landlord_property_type = "Dwelling"
    # landlord_built_form = None
    # landlord_wall_construction = None
    # landlord_heating_system = "Heating"
    # landlord_existing_pv = None
    # landlord_property_id = "UPRN"
    # outcomes_filename = [os.path.join(data_folder, "Brentwood - outcomes for analysis.xlsx")]
    # outcomes_sheetname = ["OUTCOMES"]
    # outcomes_postcode = ["POSTCODE"]
    # outcomes_houseno = [None]
    # outcomes_address = ["ADDRESS"]
    # outcomes_id = [None]
    # master_filepaths = [os.path.join(data_folder, "Submissions.csv")]
    # master_to_asset_list_filepath = None
    # asset_list_header = 1
    # landlord_block_reference = None
    # master_id_colnames = [None]
    # landlord_roof_construction = None
    # phase = False
    # landlord_sap = None
    # ecosurv_landlords = "brentwood"
    #
    # # Eastlight
    # data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Eastlight/New Programme"
    # data_filename = "INSPECTIONS MASTER Non Tech.xlsx"
    # sheet_name = "EASTLIGHT CW"
    # postcode_column = 'Postcode'
    # fulladdress_column = None
    # address1_column = "HouseName"
    # address1_method = None
    # address_cols_to_concat = ["HouseName", "Block", "Address1", "Address2", "Address3"]
    # missing_postcodes_method = None
    # landlord_year_built = "Built In Year"
    # landlord_os_uprn = None
    # landlord_property_type = "AssetType"
    # landlord_built_form = "Archetype"  # Using inspections archetype
    # landlord_wall_construction = None
    # landlord_roof_construction = None
    # landlord_heating_system = "Main Heating Source"
    # landlord_existing_pv = None
    # landlord_property_id = "UPRN"
    # landlord_sap = "SAP Score"
    # outcomes_filename = [
    #     os.path.join(data_folder, "Eastlight_CWI_JJC_2025.xlsx"),
    #     os.path.join(data_folder, "Eastlight_CWI_SCIS_2025.xlsx"),
    # ]
    # outcomes_sheetname = ["Outcomes", "Feedback"]
    # outcomes_postcode = ["Postcode", "Postcode"]
    # outcomes_houseno = ["No", "No."]
    # outcomes_id = [None, None]
    # outcomes_address = ["Address", "Address"]
    # master_filepaths = [
    #     os.path.join(data_folder, "ECO 3-Table 1.csv"),
    #     os.path.join(data_folder, "ECO 4-Table 1.csv"),
    # ]
    # master_to_asset_list_filepath = None
    # phase = False
    # ecosurv_landlords = "eastlight"
    # asset_list_header = 0
    # landlord_block_reference = None
    # master_id_colnames = [None, None]
    # landlord_sap = None

    # Pickering and Ferens
    # data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Pickering & Ferens"
    # data_filename = "SAP 9 vs SAP 10 Sava Intelligent Energy - Property List (190625).xlsx"
    # sheet_name = "Sava Intelligent Energy - Prope"
    # postcode_column = 'Postcode'
    # fulladdress_column = 'Address'
    # address1_column = None
    # address1_method = "house_number_extraction"
    # address_cols_to_concat = []
    # missing_postcodes_method = None
    # landlord_year_built = None
    # landlord_os_uprn = None
    # landlord_property_type = "Property Type"  # Using the inspections property type
    # landlord_built_form = "Archetype 2"
    # landlord_wall_construction = None
    # landlord_roof_construction = None
    # landlord_heating_system = None
    # landlord_existing_pv = None
    # landlord_property_id = "UPRN"
    # landlord_sap = "SAP Rating (RdSAP 10)"
    # outcomes_filename = []
    # outcomes_sheetname = []
    # outcomes_postcode = []
    # outcomes_houseno = []
    # outcomes_id = []
    # outcomes_address = []
    # master_filepaths = [
    #     os.path.join(data_folder, "PICKERING & FERENS ROLLING MASTER SHEET HEDGEFUND - 26.7.24 - K.csv"),
    #     os.path.join(data_folder, "PICKERING & FERENS NEW MASTER GBIS UPDATED 21.8.24 - M - For Analysis.csv"),
    # ]
    # master_to_asset_list_filepath = None
    # phase = False
    # ecosurv_landlords = "pickering"
    # asset_list_header = 0
    # landlord_block_reference = None
    # master_id_colnames = [None, None]

    # Colchester
    # data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Colchester"
    # data_filename = "Warmfront data- Colchester Borough Homes (Complete).xlsx"
    # sheet_name = "Sheet1"
    # postcode_column = 'Full Address.1'
    # fulladdress_column = "Full Address"
    # address1_column = None
    # address1_method = "first_word"
    # address_cols_to_concat = []
    # missing_postcodes_method = None
    # landlord_year_built = "Build Date"
    # landlord_os_uprn = None
    # landlord_property_type = "Property Type"
    # landlord_wall_construction = "Wallinsul"
    # landlord_heating_system = "HeatSorc"
    # landlord_existing_pv = None
    # landlord_property_id = "Property Reference"
    # outcomes_filename = []
    # outcomes_sheetname = []
    # outcomes_postcode = []
    # outcomes_houseno = []
    # outcomes_id = []
    # outcomes_address = []
    # master_filepaths = []
    # master_to_asset_list_filepath = None
    # asset_list_header = 0
    # landlord_built_form = None
    # landlord_roof_construction = None
    # landlord_sap = None
    # landlord_block_reference = None
    # phase = False
    # ecosurv_landlords = None
    # master_id_colnames = []

    # data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Ealing/Hubspot"
    # data_filename = "EalingFlats.xlsx"
    # sheet_name = "Sheet1"
    # postcode_column = 'Postcode'
    # fulladdress_column = "Address"
    # address1_column = None
    # address1_method = "house_number_extraction"
    # address_cols_to_concat = []
    # missing_postcodes_method = None
    # landlord_year_built = None
    # landlord_os_uprn = None
    # landlord_property_type = None  # Using the inspections property type
    # landlord_built_form = None
    # landlord_wall_construction = None
    # landlord_roof_construction = None
    # landlord_heating_system = None
    # landlord_existing_pv = None
    # landlord_property_id = "Property ref"
    # landlord_sap = None
    # outcomes_filename = []
    # outcomes_sheetname = []
    # outcomes_postcode = []
    # outcomes_houseno = []
    # outcomes_id = []
    # outcomes_address = []
    # master_filepaths = []
    # master_to_asset_list_filepath = None
    # phase = False
    # ecosurv_landlords = None
    # asset_list_header = 0
    # landlord_block_reference = "Block Ref"
    # master_id_colnames = []

    # Southern - Jan list
    # data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Southern/New Programme/Jan 2025 List"
    # data_filename = "SOUTHERN ASSETS January 2025 Additions Query 21.03.2025.xlsx"
    # sheet_name = "Jan 2025 additions"
    # postcode_column = 'Post Code'
    # fulladdress_column = None
    # address1_column = "NO."
    # address1_method = None
    # address_cols_to_concat = ["NO.", "Street / Block Name", "Town/Area"]
    # missing_postcodes_method = None
    # landlord_year_built = None
    # landlord_os_uprn = None
    # landlord_property_type = None  # Using the inspections property type
    # landlord_built_form = None
    # landlord_wall_construction = None
    # landlord_roof_construction = None
    # landlord_heating_system = None
    # landlord_existing_pv = None
    # landlord_property_id = "SH Property Reference"
    # landlord_sap = None
    # outcomes_filename = [
    #     os.path.join(data_folder, "RT - Southern Housing Group - JJC.xlsx"),
    #     os.path.join(data_folder, "RT - SOUTHERN OUTCOMES - SCIS Merged.xlsx"),
    # ]
    # outcomes_sheetname = ["Feedback", "Collated"]
    # outcomes_postcode = ["Poscode", "Postcode"]
    # outcomes_houseno = ["No.", "No"]
    # outcomes_id = ["UPRNs", None]
    # outcomes_address = ["Address", "Address"]
    # master_filepaths = [
    #     os.path.join(data_folder, "southern_submissions/CAVITY'S - DECEMBER 2018-Table 1.csv"),
    #     os.path.join(data_folder, "southern_submissions/CAVITY'S 2019-Table 1.csv"),
    #     os.path.join(data_folder, "southern_submissions/CAVITY'S ECO4-Table 1.csv"),
    #     os.path.join(data_folder, "southern_submissions/LOFT'S-Table 1.csv"),
    # ]
    # master_to_asset_list_filepath = None
    # phase = False
    # ecosurv_landlords = "southern"
    # asset_list_header = 0
    # landlord_block_reference = None
    # master_id_colnames = [None, None, None, None]

    # NCHA
    # data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/NCHA"
    # data_filename = "Energy Information MASTER June 2025.xlsx"
    # sheet_name = "Data"
    # postcode_column = 'Postcode'
    # fulladdress_column = "Address"
    # address1_column = None
    # address1_method = "house_number_extraction"
    # address_cols_to_concat = []
    # missing_postcodes_method = None
    # landlord_year_built = "Build Date (HAR10)"
    # landlord_os_uprn = None
    # landlord_property_type = "Property Type (HAR10)"
    # landlord_built_form = "Build Form (EPC)"
    # landlord_wall_construction = "Wall Description"
    # landlord_roof_construction = None
    # landlord_heating_system = "HEAT Code"
    # landlord_existing_pv = None
    # landlord_property_id = "Place ref"
    # landlord_sap = "EPC SAP"
    # outcomes_filename = None
    # outcomes_sheetname = None
    # outcomes_postcode = None
    # outcomes_houseno = None
    # outcomes_id = None
    # outcomes_address = None
    # master_filepaths = []
    # master_to_asset_list_filepath = None
    # phase = False
    # ecosurv_landlords = None
    # asset_list_header = 0
    # landlord_block_reference = None
    # master_id_colnames = []

    # data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Calico"
    # data_filename = "07.04 CALICO - Final List.xlsx"
    # asset_list_header = 2
    # sheet_name = "Final List"
    # postcode_column = 'Postcode'
    # fulladdress_column = None
    # address1_column = "Property Number / Name"
    # address1_method = None
    # address_cols_to_concat = [
    #     "Property Number / Name",
    #     "Street",
    #     "Town"
    # ]
    # missing_postcodes_method = None
    # landlord_year_built = "NROSH Estimated Build Date"
    # landlord_os_uprn = None
    # landlord_property_type = "Asset Type"
    # landlord_built_form = None
    # landlord_wall_construction = "Wall Type"
    # landlord_heating_system = "Boiler Type"
    # landlord_existing_pv = None
    # landlord_property_id = "Asset Reference"
    # outcomes_filename = []
    # outcomes_sheetname = []
    # outcomes_postcode = []
    # outcomes_houseno = []
    # outcomes_id = []
    # outcomes_address = []
    # master_filepaths = []
    # master_id_colnames = []
    # master_to_asset_list_filepath = None
    # landlord_roof_construction = None
    # landlord_block_reference = None
    # landlord_sap = "Current Efficiency Rating - Score"
    # phase = None
    # ecosurv_landlords = None

    # data_folder = (
    #     "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Livewest/Programme Update - March 2025/2018 Asset
    #     List"
    # )
    # data_filename = "LIVEWEST STOCK - 23rd October 2018.xlsx"
    # sheet_name = "Assets"
    # postcode_column = 'Postcode'
    # fulladdress_column = "Address"
    # address1_column = None
    # address1_method = "house_number_extraction"
    # address_cols_to_concat = []
    # missing_postcodes_method = None
    # landlord_year_built = "Build Year"
    # landlord_os_uprn = None
    # landlord_property_type = "Property Archetype"
    # landlord_built_form = None
    # landlord_wall_construction = None
    # landlord_heating_system = "Heating Fuel Type"
    # landlord_existing_pv = None
    # landlord_property_id = "Uprn - DO NOT DELETE"
    # outcomes_filename = [
    #     os.path.join(data_folder, "RT - LiveWest.xlsx")
    # ]
    # outcomes_sheetname = ["Feedback"]
    # outcomes_postcode = ["Poscode"]
    # outcomes_houseno = ["No."]
    # outcomes_id = ["UPRN"]
    # outcomes_address = ["Address"]
    # master_filepaths = [
    #     "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Livewest/Programme Update - March 2025/Rolling
    #     Master "
    #     "- redacted for analysis/CAVITY-Table 1.csv"
    # ]
    # master_id_colnames = [None]
    # master_to_asset_list_filepath = None
    # landlord_roof_construction = None
    # landlord_block_reference = None
    # landlord_sap = None
    # phase = None
    # ecosurv_landlords = "livewest|live west"

    # data_folder = ("/Users/khalimconn-kowlessar/Documents/hestia/Customers/Livewest/Programme Update - March "
    #                "2025/Livewest Asset List (Original) - csv")
    # data_filename = "Report-Table 1.csv"
    # sheet_name = None
    # postcode_column = 'Postcode'
    # fulladdress_column = "T1_Address"
    # address1_column = None
    # address1_method = "house_number_extraction"
    # address_cols_to_concat = []
    # missing_postcodes_method = None
    # landlord_year_built = "Build Yr"
    # landlord_os_uprn = None
    # landlord_property_type = "T1_AssetType"
    # landlord_built_form = "T1_AssetType"
    # landlord_wall_construction = "Wall Type Cavity"
    # landlord_heating_system = "Heating Fuel"
    # landlord_existing_pv = None
    # landlord_property_id = "T1_UPRN"
    # outcomes_filename = [
    #     os.path.join(data_folder, "RT - LiveWest.xlsx")
    # ]
    # outcomes_address = ["Address"]
    # outcomes_sheetname = ["Feedback"]
    # outcomes_postcode = ["Poscode"]
    # outcomes_houseno = ["No."]
    # outcomes_id = ["UPRN"]
    # master_filepaths = [
    #     "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Livewest/Programme Update - March 2025/Rolling
    #     Master "
    #     "- redacted for analysis/CAVITY-Table 1.csv"
    # ]
    # master_id_colnames = [None]
    # master_to_asset_list_filepath = None
    # landlord_roof_construction = None
    # landlord_block_reference = None
    # landlord_sap = None
    # phase = None
    # ecosurv_landlords = "livewest|live west"

    # Stori
    # data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Storicymru"
    # data_filename = "Asset list - for analysis.xlsx"
    # sheet_name = "SAP and Costs Calculations"
    # postcode_column = 'Postcode'
    # fulladdress_column = "Address1"
    # address1_column = None
    # address1_method = "house_number_extraction"
    # address_cols_to_concat = []
    # missing_postcodes_method = None
    # landlord_year_built = "Age"
    # landlord_os_uprn = None
    # landlord_property_type = "TYPE"
    # landlord_built_form = "AGE / DETACHMENT"
    # landlord_wall_construction = "WALL"
    # landlord_roof_construction = "LOFT INSULATION"
    # landlord_heating_system = "BOILER"
    # landlord_existing_pv = "SOLAR PV"
    # landlord_property_id = "UPRN"
    # landlord_sap = "Current SAP Rating"
    # landlord_block_reference = None
    # outcomes_filename = []
    # outcomes_sheetname = []
    # outcomes_postcode = []
    # outcomes_houseno = []
    # outcomes_id = []
    # outcomes_address = []
    # master_filepaths = []
    # master_to_asset_list_filepath = None
    # master_id_colnames = []
    # phase = False
    # ecosurv_landlords = None

    # Thrive - reconciliation
    # data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Thrive/Programme Reconciliation"
    # data_filename = "Thrive Asset List - Complete - Updated May 2025.xlsx"
    # sheet_name = "Sheet1"
    # postcode_column = 'postcode'
    # fulladdress_column = "full_address"
    # address1_column = "address_line_1"
    # address1_method = None
    # address_cols_to_concat = []
    # missing_postcodes_method = None
    # landlord_year_built = "age_band_calculated"
    # landlord_os_uprn = None
    # landlord_property_type = "property_type"
    # landlord_built_form = "build_form"
    # landlord_wall_construction = None
    # landlord_roof_construction = "assumed_loft_insulation_thickness_updated"
    # landlord_heating_system = "heating_type_updated"
    # landlord_existing_pv = None
    # landlord_property_id = "thrive_property_id"
    # landlord_sap = "sap_rating_updated"
    # landlord_block_reference = "block_reference"
    # outcomes_filename = [
    #     os.path.join(data_folder, "Thrive - Outcomes - April 24-March25 - Corrected.xlsx")
    # ]
    # outcomes_sheetname = ["Sheet1"]
    # outcomes_postcode = ["postcode"]
    # outcomes_houseno = ["No."]
    # outcomes_id = ["thrive_property_id"]
    # outcomes_address = ["address"]
    # master_filepaths = [
    #     os.path.join(data_folder, "Thrive Submissions ECO3 - with IDS.csv"),
    #     os.path.join(data_folder, "Thrive Submissions ECO4 - with IDS.csv"),
    # ]
    # master_to_asset_list_filepath = None
    # master_id_colnames = ["thrive_property_id", "thrive_property_id"]
    # phase = False
    # ecosurv_landlords = "thrive"

    # Southern Midlands
    # data_folder = "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Southern/Midlands Properties - Apr 2025"
    # data_filename = "Southern Housing Midlands Property List - combined.xlsx"
    # sheet_name = "Sheet 1"
    # postcode_column = 'Post Code'
    # fulladdress_column = "Address"
    # address1_column = None
    # address1_method = "house_number_extraction"
    # address_cols_to_concat = []
    # missing_postcodes_method = None
    # landlord_year_built = "Age_1"
    # landlord_os_uprn = None
    # landlord_property_type = "Prop_Type"
    # landlord_built_form = "Prop_Type"
    # landlord_wall_construction = "Walls_P"
    # landlord_heating_system = "Heating System"
    # landlord_existing_pv = None
    # landlord_property_id = "AssetID"
    # outcomes_filename = None
    # outcomes_sheetname = None
    # outcomes_postcode = None
    # outcomes_houseno = None
    # outcomes_id = None
    # outcomes_address = None
    # master_filepaths = []
    # master_to_asset_list_filepath = None

    # Maps addresses to uprn in problematic cases
    manual_uprn_map = {}

    asset_list = AssetList(
        local_filepath=os.path.join(data_folder, data_filename),
        header=asset_list_header,
        sheet_name=sheet_name,
        address1_colname=address1_column,
        postcode_colname=postcode_column,
        landlord_property_id=landlord_property_id,
        full_address_colname=fulladdress_column,
        full_address_cols_to_concat=address_cols_to_concat,
        missing_postcodes_method=missing_postcodes_method,
        address1_extraction_method=address1_method,
        landlord_year_built=landlord_year_built,
        landlord_uprn=landlord_os_uprn,
        landlord_property_type=landlord_property_type,
        landlord_built_form=landlord_built_form,
        landlord_wall_construction=landlord_wall_construction,
        landlord_roof_construction=landlord_roof_construction,
        landlord_heating_system=landlord_heating_system,
        landlord_existing_pv=landlord_existing_pv,
        landlord_sap=landlord_sap,
        landlord_block_reference=landlord_block_reference,
        phase=phase
    )
    asset_list.init_standardise()

    # We produce the new maps, which can be saved for future useage
    new_property_type_map = {
        k: v for k, v in (
            asset_list.variable_mappings[asset_list.landlord_property_type] if
            asset_list.landlord_property_type else {}
        ).items()
        if k not in PROPERTY_MAPPING
    }
    new_built_form_map = {
        k: v for k, v in (
            asset_list.variable_mappings[asset_list.landlord_built_form] if
            asset_list.landlord_built_form else {}
        ).items()
        if k not in BUILT_FORM_MAPPINGS
    }
    new_wall_map = {
        k: v for k, v in (
            asset_list.variable_mappings[asset_list.landlord_wall_construction] if
            asset_list.landlord_wall_construction else {}
        ).items()
        if k not in WALL_CONSTRUCTION_MAPPINGS
    }
    new_heating_map = {
        k: v for k, v in (
            asset_list.variable_mappings[asset_list.landlord_heating_system] if
            asset_list.landlord_heating_system else {}
        ).items()
        if k not in HEATING_MAPPINGS
    }
    new_existing_pv_map = {
        k: v for k, v in (
            asset_list.variable_mappings[asset_list.landlord_existing_pv] if asset_list.landlord_existing_pv else {}
        ).items()
        if k not in EXISTING_PV_MAPPINGS
    }
    new_roof_construction_map = {
        k: v for k, v in (
            asset_list.variable_mappings[asset_list.landlord_roof_construction] if
            asset_list.landlord_roof_construction else {}
        ).items()
        if k not in ROOF_CONSTRUCTION_MAPPINGS
    }

    asset_list.apply_standardiation()

    # We now flag properties that have been treated under existing programmes
    asset_list.flag_outcomes(
        outcomes_filepaths=outcomes_filename,
        outcomes_sheetname=outcomes_sheetname,
        outcomes_address=outcomes_address,
        outcomes_postcode=outcomes_postcode,
        outcomes_houseno=outcomes_houseno,
        outcomes_id=outcomes_id
    )

    asset_list.flag_survey_master(
        master_filepaths=master_filepaths,
        master_to_asset_list_filepath=master_to_asset_list_filepath,
        master_id_colnames=master_id_colnames,
    )

    asset_list.flag_ecosurv(ecosurv_landlords)

    ### We retrieve the EPC data

    # We chunk up this data into 5000 rows at a time
    # Create the chunks directory
    epc_api_only = False
    force_retrieve_data = False
    skip = None  # Used to skip already completed chunks
    chunk_size = 2000
    filename = "Chunk {i}.csv"
    download_folder = os.path.join(data_folder, "Chunks")
    if not os.path.exists(download_folder):
        os.makedirs(download_folder)

    chunk_indexes = list(range(0, len(asset_list.standardised_asset_list), chunk_size))
    downloaded_files = {filename.format(i=i) for i in chunk_indexes}

    # We check if we have files associated to these files already and if we do, and we do not want to force the
    # fetching of the data, we skip
    folder_contents = os.listdir(download_folder)
    if all(x in folder_contents for x in downloaded_files):
        skip = max(chunk_indexes)

    if any(x in folder_contents for x in downloaded_files):
        skip = max([i for i in chunk_indexes if filename.format(i=i) in folder_contents])

    for i in range(0, len(asset_list.standardised_asset_list), chunk_size):
        print(f"Processing chunk {i} to {i + chunk_size}")
        if skip is not None and not force_retrieve_data:
            if i <= skip:
                continue
        chunk = asset_list.standardised_asset_list[i:i + chunk_size]
        epc_data_chunk, errors_chunk, no_epc_chunk = get_data(
            df=chunk,
            row_id_name=asset_list.DOMNA_PROPERTY_ID,
            uprn_column=AssetList.STANDARD_UPRN,
            fulladdress_column=AssetList.STANDARD_FULL_ADDRESS,
            address1_column=AssetList.STANDARD_ADDRESS_1,
            postcode_column=AssetList.STANDARD_POSTCODE,
            property_type_column=AssetList.STANDARD_PROPERTY_TYPE,
            built_form_column=AssetList.STANDARD_BUILT_FORM,
            manual_uprn_map=manual_uprn_map,
            epc_api_only=epc_api_only,
            epc_auth_token=EPC_AUTH_TOKEN
        )

        # We now retrieve any failed properties
        chunk_failed = chunk[chunk[asset_list.DOMNA_PROPERTY_ID].isin(errors_chunk)]
        epc_data_failed, _, _ = get_data(
            df=chunk_failed,
            row_id_name=asset_list.DOMNA_PROPERTY_ID,
            uprn_column=AssetList.STANDARD_UPRN,
            fulladdress_column=AssetList.STANDARD_FULL_ADDRESS,
            address1_column=AssetList.STANDARD_ADDRESS_1,
            postcode_column=AssetList.STANDARD_POSTCODE,
            property_type_column=AssetList.STANDARD_PROPERTY_TYPE,
            built_form_column=AssetList.STANDARD_BUILT_FORM,
            manual_uprn_map=manual_uprn_map,
            epc_api_only=epc_api_only,
            epc_auth_token=EPC_AUTH_TOKEN
        )

        epc_data_chunk.extend(epc_data_failed)

        # Append the failed data to the main data
        # Store the chunk locally as a csv
        pd.DataFrame(epc_data_chunk).to_csv(os.path.join(data_folder, f"Chunks/Chunk {i}.csv"), index=False)
        # Store the errors and no-data locally
        with open(os.path.join(data_folder, f"Chunks/Chunk {i} errors.json"), "w") as f:
            json.dump(errors_chunk, f)

        with open(os.path.join(data_folder, f"Chunks/Chunk {i} nodata.csv"), "w") as f:
            json.dump(no_epc_chunk, f)

    # We read in and concatenate the created created chunks
    # List the contents
    epc_data = []
    for file in downloaded_files:
        csv_data = pd.read_csv(os.path.join(download_folder, file))
        # We need to convert the recommendations back to a list
        csv_data["recommendations"] = csv_data["recommendations"].apply(eval)
        # We don't have this if we didn't run the pulling from find my epc
        if "find_my_epc_data" in csv_data.columns:
            csv_data["find_my_epc_data"] = csv_data["find_my_epc_data"].apply(eval)
        epc_data.append(csv_data)

    epc_df = pd.concat(epc_data)
    if "estimated" not in epc_df.columns:
        epc_df["estimated"] = False

    epc_df["estimated"] = epc_df["estimated"].fillna(False)

    # We expand out the recommendations
    recommendations_df = epc_df[[asset_list.DOMNA_PROPERTY_ID, "recommendations"]]

    unique_recommendations = set()
    for _, row in recommendations_df.iterrows():
        unique_recommendations.update([rec["improvement-summary-text"] for rec in row["recommendations"]])

    columns = [asset_list.DOMNA_PROPERTY_ID] + list(unique_recommendations)
    transformed_data = []
    for _, row in recommendations_df.iterrows():
        # Initialize a dictionary for this row with False for all recommendations
        row_data = {col: False for col in columns}
        row_data[asset_list.DOMNA_PROPERTY_ID] = row[asset_list.DOMNA_PROPERTY_ID]

        # Set True for each recommendation present in this row
        for rec in row["recommendations"]:
            recommendation_text = rec["improvement-summary-text"]
            row_data[recommendation_text] = True

        # Append the row data to transformed_data
        transformed_data.append(row_data)

    transformed_df = pd.DataFrame(transformed_data)
    for col in [
        "Floor insulation (solid floor)",
        "Floor insulation", "Floor insulation (suspended floor)"
    ]:
        if col not in transformed_df.columns:
            transformed_df[col] = False
    transformed_df = transformed_df[
        [
            asset_list.DOMNA_PROPERTY_ID, "Floor insulation (solid floor)",
            "Floor insulation", "Floor insulation (suspended floor)"
        ]
    ]

    transformed_df["epc_has_floor_recommendation"] = (
        transformed_df["Floor insulation (solid floor)"] | transformed_df["Floor insulation"] |
        transformed_df["Floor insulation (suspended floor)"]
    )

    # Get the find my epc data
    if "find_my_epc_data" not in epc_df.columns:
        epc_df["find_my_epc_data"] = None

    find_my_epc_data = []
    for _, x in epc_df.iterrows():
        if x["find_my_epc_data"]:
            find_my_epc_data.append(
                {
                    asset_list.DOMNA_PROPERTY_ID: x[asset_list.DOMNA_PROPERTY_ID],
                    **x["find_my_epc_data"]
                }
            )
        else:
            find_my_epc_data.append(
                {
                    asset_list.DOMNA_PROPERTY_ID: x[asset_list.DOMNA_PROPERTY_ID]
                }
            )

    find_my_epc_data = pd.DataFrame(find_my_epc_data)

    find_my_epc_data = find_my_epc_data.merge(
        transformed_df[[asset_list.DOMNA_PROPERTY_ID, "epc_has_floor_recommendation"]],
        how="left", on=asset_list.DOMNA_PROPERTY_ID
    )

    # We check if we get the solar pv column:
    if "Solar photovoltaics" not in find_my_epc_data.columns:
        find_my_epc_data["Solar photovoltaics"] = False

    # Retrieve just the data we need
    epc_df = epc_df[
        [asset_list.DOMNA_PROPERTY_ID] + list(asset_list.EPC_API_DATA_NAMES.keys())
        ].rename(
        columns=asset_list.EPC_API_DATA_NAMES
    )

    # Look for columns not in the find my EPC data, which will have happened if we didn't
    # retrieve it in the first place
    missed_find_epc_cols = [c for c in list(asset_list.FIND_EPC_DATA_NAMES.keys()) if c not in find_my_epc_data.columns]
    if missed_find_epc_cols:
        for c in missed_find_epc_cols:
            find_my_epc_data[c] = None

    epc_df = epc_df.merge(
        find_my_epc_data[
            [asset_list.DOMNA_PROPERTY_ID, "epc_has_floor_recommendation"] + list(asset_list.FIND_EPC_DATA_NAMES.keys())
            ]
        .rename(columns=asset_list.FIND_EPC_DATA_NAMES),
        how="left",
        on=asset_list.DOMNA_PROPERTY_ID
    )

    asset_list.merge_data(epc_df)
    asset_list.extract_attributes()
    asset_list.identify_worktypes()

    # We now flag the status of the property
    asset_list.label_property_status()
    asset_list.analyse_geographies()
    asset_list.get_work_figures()

    # Store as an excel
    filename = os.path.join(data_folder, ".".join(data_filename.split(".")[:-1])) + " - Standardised.xlsx"
    # Store the data in two tabs. One for the asset list with the EPC data and the second with the flat data

    with pd.ExcelWriter(filename) as writer:
        asset_list.standardised_asset_list.to_excel(writer, sheet_name="Standardised Asset List", index=False)
        if asset_list.block_analysis_df is not None:
            asset_list.block_analysis_df.to_excel(writer, sheet_name="Block Analysis", index=False)
        # If we have outcomes, we add a tab with the outcomes
        if not asset_list.outcomes_for_output.empty:
            asset_list.outcomes_for_output.to_excel(writer, sheet_name="Outcomes", index=False)

        if not asset_list.unmatched_submissions.empty:
            asset_list.unmatched_submissions.to_excel(writer, sheet_name="Unmatched Submissions", index=False)

        if not asset_list.outcomes_no_match.empty:
            asset_list.outcomes_no_match.to_excel(writer, sheet_name="Unmatched Outcomes", index=False)

        if not asset_list.ecosurv_no_match.empty:
            asset_list.ecosurv_no_match.to_excel(writer, sheet_name="Unmatched Ecosurv", index=False)

        if not asset_list.geographical_areas.empty:
            asset_list.geographical_areas.to_excel(writer, sheet_name="Geographical Areas", index=False)