Merge pull request #565 from Hestia-Homes/eco-eligiblity-bug

Eco eligiblity bug
This commit is contained in:
KhalimCK 2025-11-28 14:50:08 +08:00 committed by GitHub
commit 973a5417ba
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
7 changed files with 54 additions and 32 deletions

View file

@ -86,6 +86,8 @@ DESCRIPTIONS_TO_FUEL_TYPES = {
"cop": AVERAGE_ASHP_EFFICIENCY / 100},
"Ground source heat pump, underfloor, electric": {"fuel": "Electricity", "cop": AVERAGE_ASHP_EFFICIENCY / 100},
"Electric ceiling heating": {"fuel": "Electricity", "cop": 1},
"Boiler and radiators, wood chips": {"fuel": "Wood Logs", "cop": 0.85},
"Oil range cooker, no cylinder thermostat": {"fuel": "Oil", "cop": 0.85},
}
# These are the measure types where if there is a ventilation recommendation, we force the inclusion of it

View file

@ -27,6 +27,7 @@ class SubTaskInterface:
# --------------------------------------------------------
def create_subtask(self, task_id: UUID, inputs: Optional[Dict[str, Any]] = None, status=None):
now = datetime.now(timezone.utc)
with get_db_session() as session:
task = session.get(Task, task_id)
if not task:
@ -39,7 +40,7 @@ class SubTaskInterface:
task_id=task_id,
inputs=json.dumps(inputs) if inputs else None,
status=status,
job_started=None,
job_started=now,
job_completed=None,
)
@ -271,12 +272,13 @@ class TasksInterface:
:param task_only: If True, only create the Task record, without a SubTask
:return:
"""
now = datetime.now(timezone.utc)
with get_db_session() as session:
task = Task(
task_source=task_source,
service=service,
status="waiting",
job_started=None,
job_started=now,
job_completed=None,
)

View file

@ -212,11 +212,11 @@ class TrainingDataset(BaseDataset):
common_cols = [[col + "_starting", col + "_ending"] for col in common_cols]
self.df = self.df.loc[
:,
no_suffix_cols
+ only_ending_cols
+ [col for cols in common_cols for col in cols],
]
:,
no_suffix_cols
+ only_ending_cols
+ [col for cols in common_cols for col in cols],
]
def _remove_abnormal_change_in_floor_area(self):
"""
@ -394,12 +394,13 @@ class TrainingDataset(BaseDataset):
axis=1,
)
roof_starting_uvalue = self.df["roof_thermal_transmittance"].fillna(
roof_starting_uvalue
)
roof_ending_uvalue = self.df["roof_thermal_transmittance_ending"].fillna(
roof_ending_uvalue
)
roof_starting_uvalue = pd.to_numeric(
self.df["roof_thermal_transmittance"], errors="coerce"
).fillna(roof_starting_uvalue)
roof_ending_uvalue = pd.to_numeric(
self.df["roof_thermal_transmittance_ending"], errors="coerce"
).fillna(roof_ending_uvalue)
# ~~~~~~~~~~~~~~~~~~
# Floor
@ -459,20 +460,20 @@ class TrainingDataset(BaseDataset):
axis=1,
)
floor_starting_uvalue = self.df["floor_thermal_transmittance"].fillna(
floor_starting_uvalue
)
floor_ending_uvalue = self.df["floor_thermal_transmittance_ending"].fillna(
floor_ending_uvalue
)
floor_starting_uvalue = pd.to_numeric(
self.df["floor_thermal_transmittance"], errors="coerce"
).fillna(floor_starting_uvalue)
floor_ending_uvalue = pd.to_numeric(
self.df["floor_thermal_transmittance_ending"], errors="coerce"
).fillna(floor_ending_uvalue)
for component in ["walls", "roof", "floor"]:
self.df[f"{component}_thermal_transmittance"] = self.df[
f"{component}_thermal_transmittance"
].fillna(eval(f"{component}_starting_uvalue"))
self.df[f"{component}_thermal_transmittance_ending"] = self.df[
f"{component}_thermal_transmittance_ending"
].fillna(eval(f"{component}_ending_uvalue"))
self.df[f"{component}_thermal_transmittance"] = pd.to_numeric(
self.df[f"{component}_thermal_transmittance"], errors="coerce"
).fillna(eval(f"{component}_starting_uvalue"))
self.df[f"{component}_thermal_transmittance_ending"] = pd.to_numeric(
self.df[f"{component}_thermal_transmittance_ending"], errors="coerce"
).fillna(eval(f"{component}_ending_uvalue"))
self.df = self.df.drop(
columns=[
@ -521,7 +522,7 @@ class TrainingDataset(BaseDataset):
expanded_df["is_sandstone_or_limestone"]
== expanded_df["is_sandstone_or_limestone_ending"]
)
]
]
elif component == "floor":
expanded_df = expanded_df[
(expanded_df["is_suspended"] == expanded_df["is_suspended_ending"])
@ -538,7 +539,7 @@ class TrainingDataset(BaseDataset):
expanded_df["is_to_external_air"]
== expanded_df["is_to_external_air_ending"]
)
]
]
elif component == "roof":
expanded_df = expanded_df[
(expanded_df["is_pitched"] == expanded_df["is_pitched_ending"])
@ -551,7 +552,7 @@ class TrainingDataset(BaseDataset):
expanded_df["has_dwelling_above"]
== expanded_df["has_dwelling_above_ending"]
)
]
]
return expanded_df

View file

@ -38,6 +38,8 @@ DATA_BUCKET = os.environ.get(
"DATA_BUCKET", "retrofit-data-dev" if ENVIRONMENT == "dev" else None
)
pd.set_option("future.no_silent_downcasting", True)
@dataclass
class EPCRecord:
@ -392,7 +394,7 @@ class EPCRecord:
floor_height_data = self.cleaning_data[
(self.cleaning_data["property_type"] == self.prepared_epc["property-type"])
& (self.cleaning_data["built_form"] == self.prepared_epc["built-form"])
]
]
average = floor_height_data["floor_height"].mean()
sd = floor_height_data["floor_height"].std()
# If we're in the top 0.5 percentile of floor heights, we'll set it to the average

View file

@ -51,8 +51,17 @@ DATA_ANOMALY_MATCHES = {
"UNKNOWN",
#
"Unknown",
# Observed error case
# Observed error cases
"(error), (error)",
"error , error",
"Description",
"description",
"Undefined Welsh description for crtrl code 2113",
"undefined welsh description for crtrl code 2113",
"Hot water system",
"hot water system",
"Heating system",
"heating system",
}
# Add the post_sap10 date to indicate if the epc is post sap10

View file

@ -119,7 +119,13 @@ class MainheatControlAttributes(Definitions):
'rheoli r tal a llaw': 'manual charge control',
'tal un gyfradd, thermostat ystafell yn unig': 'flat rate charging, room thermostat only',
"rheoli'r t l llaw": "manual charge control",
"2205 rhaglennydd ac o leiaf ddau thermostat ystafell": "programmer and at least two room thermostats"
"2205 rhaglennydd ac o leiaf ddau thermostat ystafell": "programmer and at least two room thermostats",
"2603 rhaglennydd a thermostatau ar y cyfarpar": "programmer, room thermostat",
"2404 rheolyddion i wresogyddion storio sygçön cadw llawer o wres": "controls for high heat retention storage "
"heaters",
'system dalu wedigçöi chysylltu +ó defnyddio gwres cymunedol, rhaglennydd ac o leiaf ddau thermostat '
'ystafell': 'charging system linked to use of community heating, programmer and at least two room thermostats'
}
NO_DATA_DESCRIPTIONS = [

View file

@ -744,7 +744,7 @@ class Recommendations:
# fairly regularly. A task has been added to planner to refactor this
# We have observed an edge case where the fuel is described as not being community
# but the hot water is. We handle as such
logger.warning("Hot water description not mapped: %s", heating_description)
logger.warning("Hot water description not mapped: %s", hotwater_description)
mapped_hotwater = {"fuel": 'Unmapped', "cop": 0.9}
return {