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Model/etl/epc/settings.py

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# Using a simply python file as settings for now
# TODO: migrate to dynaconf
from pathlib import Path
DATA_ANOMALY_MATCHES = {
# Invalid reports are where the value provided is out of bounds, e.g. a negative energy rating of -1199 or a
# non-integer, there is no valid energy band for this, so it is marked as INVALID!
"INVALID",
"INVALID!",
# When the energy certificate was first lodged on the register there was no requirement to lodge this data
# item, i.e. a non-mandatory item.
"NO DATA!",
"NODATA!",
# When the energy certificate was first lodged on the register there was no requirement to lodge this data item,
# i.e.a non - mandatory item.
"N/A",
# A value generated by the register to account for a data item that was not mandatory when the lodgement of
# the energy certificate occurred. When the data item became mandatory the register operator, for backwards
# compatibility purposes, populated the data field with a value of ‘not recorded’ to ensure that the energy
# certificate retrieval process is successfully completed. Mandatory data items cannot be applied
# retrospectively to energy certificates lodged before the date of the change.
"Not recorded",
# The data also contains DECs with an operational rating of ‘9999’ (a ‘default’ DEC). The production of a
# ‘default’ DEC value was allowed to enable building occupiers, with poor quality or no energy data,
# the opportunity to comply with the regulations. From April 2011 the ability to lodge a ‘default’ DEC was no
# longer allowed.
"9999",
# The Building Emission Rate (BER) data field for non-domestic buildings may contain a ‘blank’ value. The BER
# was only lodged on the register from 7 March 2010.
"Blank"
# There are currently just over 8,600 records where the local authority identifier is ‘null’. This is due to
# the Register Operator not being able to match the building address in the Markermap Ordinance Survey (GB)
# lookup tables or OS MasterMap Address Layer 2 data. The majority of these addresses have been requested
# manually by energy assessors for inclusion by the Register Operator in the registers (e.g. new builds,
# etc). These records are being published for completeness. An ongoing process to manage these manually added
# addresses will take time to develop to deal with these and future anomalies.
#
# There are several fields within the lodged data where it is possible to enter multiple entries to cater for
# different data_types of build within a single property, i.e. extensions. This results in multiple entries for
# the description fields for floor, roof and wall. For the purposes of this data release only the information
# contained within the first of these multiple entries is being provided. As there are no restrictions on the
# value in this first field it means that sometimes the first field in a multiple entry description field may
# contain a ‘null’ value. A resolution to correct these anomalies will be considered for future data releases.
"NULL",
# We sometimes see fields populated with just an empty string.
"",
# We sometimes find None values - particulatly when we produce an estimated EPC
None,
# An older value which rarely shows up but has been seen in the data.
"UNKNOWN",
}
DATA_ANOMALY_SUBSTRINGS = {
# Where values in a ‘pick’ list that have been superseded by another value. For example, where a value for
# ‘pitched roof’ has been replaced by three sub-categories of pitched roof. The original value is retained
# but ‘for backward compatibility only’ it is appended to ensure that the energy certificate retrieval
# process can be successfully completed. Replacement data items cannot be applied retrospectively to energy
# certificates lodged on the register before the date of the change.
"for backward compatibility only"
}
METRIC_FILENAME = "metrics.csv"
OPTIMISE_METRIC = "mean_absolute_error"
BEST_MODEL_COLUMN_NAME = "best_model"
# TODO: remove these setting elsewhere for CML
RESIDUAL_TRUE_LABEL = "true"
RESIDUAL_PREDICTION_LABEL = "pred"
RESIDUAL_FILE = "residual.png"
SEABORN_RESIDUAL_AXIS_FONTSIZE = 12
SEABORN_RESIDUAL_TITLE_FONTSIZE = 22
SEABORN_RESIDUAL_STYLE = "whitegrid"
SEABORN_RESIDUAL_ASPECT_RATIO = "equal"
SEABORN_RESIDUAL_PLOT_DPI = 120
SEABORN_RESIDUAL_RANGE = [-100, 100]
SEABORN_RESIDUAL_LINE_COLOUR = "black"
SEABORN_RESIDUAL_LINE_WIDTH = 1
# Can move to a hyperparmeters file
# If anything we might want to have a file that can be loaded and sent to this script
MODEL_HYPERPARAMETERS = {
"autogluon": {
"problem_type": "regression",
"eval_metric": "mean_absolute_error",
"time_limit": 45,
"presets": "medium_quality",
"excluded_model_types": None,
}
}
TIMESTAMP_FORMAT = "%Y_%m_%d_%H_%M_%S"
RANDOM_SEED = 0
SUBSAMPLE_FACTOR = 200
TRAIN_AND_VALIDATION_DATA_NAME = "train_validation_data.parquet"
TEST_DATA_NAME = "test_data.parquet"
REGISTRY_FILE = "model_registry.csv"
MODEL_DIRECTORY = "model_directory"
BASE_REGISTRY_PATH = Path(__file__).parent.parent / MODEL_DIRECTORY
PREDICTION_LOCATION = Path("predictions")
PREDICTION_FILE = "prediction.json"
METADATA_FILE = "metadata.json"
MODEL_FOLDER = "model"
METRICS_FOLDER = "metrics"
DEPLOYMENT_FOLDER = "deployment"
TOTAL_FLOOR_AREA_NATIONAL_AVERAGE = 70
FLOOR_HEIGHT_NATIONAL_AVERAGE = 2.45
COST_FEATURES = [
"LIGHTING_COST_CURRENT",
"HEATING_COST_CURRENT",
"HOT_WATER_COST_CURRENT",
]
AVERAGE_FIXED_FEATURES = [
"TOTAL_FLOOR_AREA",
"FLOOR_HEIGHT",
"FIXED_LIGHTING_OUTLETS_COUNT",
]
COLUMNS_TO_MERGE_ON = [
"PROPERTY_TYPE",
"BUILT_FORM",
"CONSTRUCTION_AGE_BAND",
"NUMBER_HABITABLE_ROOMS",
"NUMBER_HEATED_ROOMS",
]
FULLY_GLAZED_DESCRIPTIONS = [
"Fully double glazed",
"High performance glazing",
"Fully triple glazed",
"Full secondary glazing",
"Multiple glazing throughout",
]
FIXED_FEATURES = [
"PROPERTY_TYPE",
"BUILT_FORM",
"CONSTRUCTION_AGE_BAND",
"NUMBER_HABITABLE_ROOMS",
"CONSTITUENCY",
"NUMBER_HEATED_ROOMS",
"FIXED_LIGHTING_OUTLETS_COUNT",
]
CORE_COMPONENT_FEATURES = [
"WALLS_DESCRIPTION",
"FLOOR_DESCRIPTION",
"LIGHTING_DESCRIPTION",
"ROOF_DESCRIPTION",
"MAINHEAT_DESCRIPTION",
"HOTWATER_DESCRIPTION",
"MAIN_FUEL",
"MECHANICAL_VENTILATION",
"SECONDHEAT_DESCRIPTION",
"WINDOWS_DESCRIPTION",
"GLAZED_TYPE",
"MULTI_GLAZE_PROPORTION",
"LOW_ENERGY_LIGHTING",
"NUMBER_OPEN_FIREPLACES",
"MAINHEATCONT_DESCRIPTION",
"SOLAR_WATER_HEATING_FLAG",
"PHOTO_SUPPLY",
]
EFFICIENCY_FEATURES = [
"HOT_WATER_ENERGY_EFF",
"FLOOR_ENERGY_EFF",
"WINDOWS_ENERGY_EFF",
"WALLS_ENERGY_EFF",
"SHEATING_ENERGY_EFF",
"ROOF_ENERGY_EFF",
"MAINHEAT_ENERGY_EFF",
"MAINHEATC_ENERGY_EFF",
"LIGHTING_ENERGY_EFF",
]
ROOM_FEATURES = ["number_habitable_rooms", "number_heated_rooms"]
COMPONENT_FEATURES = CORE_COMPONENT_FEATURES + [
"TRANSACTION_TYPE",
"ENERGY_TARIFF", # Not sure if this is relevant
"EXTENSION_COUNT",
"TOTAL_FLOOR_AREA",
"FLOOR_HEIGHT",
# 'GLAZED_AREA', # May not need this since we have MULTI_GLAZE_PROPORTION
]
POTENTIAL_COLUMNS = [
"POTENTIAL_ENERGY_EFFICIENCY",
"ENVIRONMENT_IMPACT_POTENTIAL",
"ENERGY_CONSUMPTION_POTENTIAL",
"CO2_EMISSIONS_POTENTIAL",
# We don't include cost features for the moment
# 'LIGHTING_COST_POTENTIAL',
# 'HEATING_COST_POTENTIAL',
# 'HOT_WATER_COST_POTENTIAL'
]
# For these fields, we take the latest value if we have multiple values
# Since more recent EPCs have been conducted with more rigour, we assume that the latest value is
# the most accurate
LATEST_FIELD = [
"NUMBER_HABITABLE_ROOMS",
"NUMBER_HEATED_ROOMS",
"FIXED_LIGHTING_OUTLETS_COUNT",
"CONSTRUCTION_AGE_BAND", # This is a field we're probably want to use verisk data for
]
# If we see thee features changing, we don't use the EPC, since deem it not to be reliable
MANDATORY_FIXED_FEATURES = ["PROPERTY_TYPE", "BUILT_FORM", "CONSTITUENCY"]
# For particularly old EPC data, we have inconsistent records so we'll only include EPCS that were
# conducted after 2010, since SAP09 was introduced in 2009 an later SAP12 was introduced in England
# and Wales from 31 July 2014
EARLIEST_EPC_DATE = "2014-08-01"
IGNORED_TRANSACTION_TYPES = "new dwelling"
IGNORED_FLOOR_LEVELS = ["top floor", "mid floor"]
IGNORED_PROPERTY_TYPES = "Park home"
IGNORED_TENURES = [
"Not defined - use in the case of a new dwelling for which the intended tenure in not known. It is not to be used "
"for an existing dwelling"
]
RDSAP_RESPONSE = "CURRENT_ENERGY_EFFICIENCY"
HEAT_DEMAND_RESPONSE = "ENERGY_CONSUMPTION_CURRENT"
CARBON_RESPONSE = "CO2_EMISSIONS_CURRENT"
BUILT_FORM_REMAP = {
"Enclosed End-Terrace": "End-Terrace",
"Enclosed Mid-Terrace": "Mid-Terrace",
}
DATA_PROCESSOR_SETTINGS = {
"low_memory": False,
"epc_minimum_count": 1,
"column_mappings": {"UPRN": [int, str]},
}
# This has a manual mapping of the column types required
COLUMNTYPES = {
"UPRN": "object",
"TOTAL_FLOOR_AREA": "float64",
"FLOOR_HEIGHT": "float64",
"PROPERTY_TYPE": "object",
"BUILT_FORM": "object",
"CONSTITUENCY": "object",
"NUMBER_HABITABLE_ROOMS": "float64",
"NUMBER_HEATED_ROOMS": "float64",
"FIXED_LIGHTING_OUTLETS_COUNT": "float64",
"CONSTRUCTION_AGE_BAND": "object",
"TRANSACTION_TYPE": "object",
"WALLS_DESCRIPTION": "object",
"FLOOR_DESCRIPTION": "object",
"LIGHTING_DESCRIPTION": "object",
"ROOF_DESCRIPTION": "object",
"MAINHEAT_DESCRIPTION": "object",
"HOTWATER_DESCRIPTION": "object",
"MAIN_FUEL": "object",
"MECHANICAL_VENTILATION": "object",
"SECONDHEAT_DESCRIPTION": "object",
"ENERGY_TARIFF": "object",
"SOLAR_WATER_HEATING_FLAG": "object",
"PHOTO_SUPPLY": "float64",
"WINDOWS_DESCRIPTION": "object",
"GLAZED_TYPE": "object",
"MULTI_GLAZE_PROPORTION": "float64",
"LOW_ENERGY_LIGHTING": "float64",
"NUMBER_OPEN_FIREPLACES": "float64",
"MAINHEATCONT_DESCRIPTION": "object",
"EXTENSION_COUNT": "float64",
"LODGEMENT_DATE": "object",
**dict(
zip(
EFFICIENCY_FEATURES,
[
"object",
]
* len(EFFICIENCY_FEATURES),
)
),
**dict(
zip(
POTENTIAL_COLUMNS,
[
"float64",
]
* len(POTENTIAL_COLUMNS),
)
),
}
# For modelling, we don't allow records with more than 100 SAP points
MAX_SAP_SCORE = 100
fill_na_map = {
# There are some descriptions, such as "To be used only when there is no heating/hot-water system or data is from
# a community network" that could be clustered with unknown fuel
"MAIN_FUEL": "UNKNOWN",
"MECHANICAL_VENTILATION": "Unknown",
"SECONDHEAT_DESCRIPTION": "None",
"ENERGY_TARIFF": "Unknown",
# We set solar water heating flag to N - we could investigate using a different category entirely
"SOLAR_WATER_HEATING_FLAG": "N",
"GLAZED_TYPE": "not defined",
"MULTI_GLAZE_PROPORTION": 0,
"LOW_ENERGY_LIGHTING": 0,
"MAINHEATCONT_DESCRIPTION": "Unknown",
"EXTENSION_COUNT": 0,
"NUMBER_OPEN_FIREPLACES": 0,
}
################################################################################################
# These are the features we need for scoring
# We'll likely change how we do this in the future
################################################################################################
STARTING_SUFFIX_COMPONENT_COLS = [
"SAP",
"HEAT_DEMAND",
"CARBON",
"TRANSACTION_TYPE",
"MECHANICAL_VENTILATION",
"SECONDHEAT_DESCRIPTION",
"ENERGY_TARIFF",
"SOLAR_WATER_HEATING_FLAG",
"PHOTO_SUPPLY",
"GLAZED_TYPE",
"MULTI_GLAZE_PROPORTION",
"LOW_ENERGY_LIGHTING",
"NUMBER_OPEN_FIREPLACES",
"EXTENSION_COUNT",
"TOTAL_FLOOR_AREA",
"FLOOR_HEIGHT",
"DAYS_TO",
"estimated_perimeter",
]
NO_SUFFIX_COMPONENT_COLS = [
"walls_thermal_transmittance",
"is_cavity_wall",
"is_filled_cavity",
"is_solid_brick",
"is_system_built",
"is_timber_frame",
"is_granite_or_whinstone",
"is_as_built",
"is_cob",
"is_sandstone_or_limestone",
"is_park_home",
"walls_insulation_thickness",
"external_insulation",
"internal_insulation",
"floor_thermal_transmittance",
"is_to_unheated_space",
"is_to_external_air",
"is_suspended",
"is_solid",
"another_property_below",
"floor_insulation_thickness",
"roof_thermal_transmittance",
"is_pitched",
"is_roof_room",
"is_loft",
"is_flat",
"is_thatched",
"is_at_rafters",
"has_dwelling_above",
"roof_insulation_thickness",
"heater_type",
"system_type",
"thermostat_characteristics",
"heating_scope",
"energy_recovery",
"hotwater_tariff_type",
"extra_features",
"chp_systems",
"distribution_system",
"no_system_present",
"appliance",
"has_radiators",
"has_fan_coil_units",
"has_pipes_in_screed_above_insulation",
"has_pipes_in_insulated_timber_floor",
"has_pipes_in_concrete_slab",
"has_boiler",
"has_air_source_heat_pump",
"has_room_heaters",
"has_electric_storage_heaters",
"has_warm_air",
"has_electric_underfloor_heating",
"has_electric_ceiling_heating",
"has_community_scheme",
"has_ground_source_heat_pump",
"has_no_system_present",
"has_portable_electric_heaters",
"has_water_source_heat_pump",
"has_electric_heat_pump",
"has_micro-cogeneration",
"has_solar_assisted_heat_pump",
"has_exhaust_source_heat_pump",
"has_community_heat_pump",
"has_electric",
"has_mains_gas",
"has_wood_logs",
"has_coal",
"has_oil",
"has_wood_pellets",
"has_anthracite",
"has_dual_fuel_mineral_and_wood",
"has_smokeless_fuel",
"has_lpg",
"has_b30k",
"has_electricaire",
"has_assumed_for_most_rooms",
"has_underfloor_heating",
"thermostatic_control",
"charging_system",
"switch_system",
"no_control",
"dhw_control",
"community_heating",
"multiple_room_thermostats",
"auxiliary_systems",
"trvs",
"rate_control",
"glazing_type",
"fuel_type",
"main-fuel_tariff_type",
"is_community",
"no_individual_heating_or_community_network",
"complex_fuel_type",
]
ENDING_SUFFIX_COMPONENT_COLS = [
"SAP",
"HEAT_DEMAND",
"CARBON",
"TRANSACTION_TYPE",
"MECHANICAL_VENTILATION",
"SECONDHEAT_DESCRIPTION",
"ENERGY_TARIFF",
"SOLAR_WATER_HEATING_FLAG",
"PHOTO_SUPPLY",
"GLAZED_TYPE",
"MULTI_GLAZE_PROPORTION",
"LOW_ENERGY_LIGHTING",
"NUMBER_OPEN_FIREPLACES",
"EXTENSION_COUNT",
"TOTAL_FLOOR_AREA",
"FLOOR_HEIGHT",
"DAYS_TO",
"walls_thermal_transmittance",
"is_park_home",
"walls_insulation_thickness",
"external_insulation",
"internal_insulation",
"floor_thermal_transmittance",
"floor_insulation_thickness",
"roof_thermal_transmittance",
"roof_insulation_thickness",
"heater_type",
"system_type",
"thermostat_characteristics",
"heating_scope",
"energy_recovery",
"hotwater_tariff_type",
"extra_features",
"chp_systems",
"distribution_system",
"no_system_present",
"appliance",
"has_radiators",
"has_fan_coil_units",
"has_pipes_in_screed_above_insulation",
"has_pipes_in_insulated_timber_floor",
"has_pipes_in_concrete_slab",
"has_boiler",
"has_air_source_heat_pump",
"has_room_heaters",
"has_electric_storage_heaters",
"has_warm_air",
"has_electric_underfloor_heating",
"has_electric_ceiling_heating",
"has_community_scheme",
"has_ground_source_heat_pump",
"has_no_system_present",
"has_portable_electric_heaters",
"has_water_source_heat_pump",
"has_electric_heat_pump",
"has_micro-cogeneration",
"has_solar_assisted_heat_pump",
"has_exhaust_source_heat_pump",
"has_community_heat_pump",
"has_electric",
"has_mains_gas",
"has_wood_logs",
"has_coal",
"has_oil",
"has_wood_pellets",
"has_anthracite",
"has_dual_fuel_mineral_and_wood",
"has_smokeless_fuel",
"has_lpg",
"has_b30k",
"has_electricaire",
"has_assumed_for_most_rooms",
"has_underfloor_heating",
"thermostatic_control",
"charging_system",
"switch_system",
"no_control",
"dhw_control",
"community_heating",
"multiple_room_thermostats",
"auxiliary_systems",
"trvs",
"rate_control",
"glazing_type",
"fuel_type",
"main-fuel_tariff_type",
"is_community",
"no_individual_heating_or_community_network",
"complex_fuel_type",
"estimated_perimeter",
]
# We found that without performing any filtering, the bottom 0.5% of homes had a floor height of 1.65m. We'll therefore
# filter out any homes with a floor height below this
MINIMUM_FLOOR_HEIGHT = 1.65
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