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Roll up each Property's SAP points and savings across its measures 🟩

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Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Khalim Conn-Kowlessar 2026-07-13 23:11:36 +00:00
parent 478ee20aaa
commit b52b38e6f3
1 changed files with 24 additions and 1 deletions
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25
domain/scenario_export/scenario_sheet.py
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@ -44,6 +44,20 @@ MEASURE_COLUMNS: tuple[str, ...] = (
# Property identity columns, leading every sheet before the measure columns.
_ID_COLUMNS: tuple[str, ...] = ("property_id", "landlord_property_id")
# Per-Property roll-ups of the selected measures' attributed impact, trailing the
# measure columns (ADR-0065).
_SAVINGS_COLUMNS: tuple[str, ...] = (
"sap_points",
"co2_equivalent_savings",
"kwh_savings",
"energy_cost_savings",
)
def _sum(values: Sequence[Optional[float]]) -> float:
"""Sum optional numbers, treating an absent contribution as zero."""
return sum(value or 0.0 for value in values)
@dataclass(frozen=True)
class ExportMeasure:
@ -111,7 +125,7 @@ def shape_scenario_sheet(
properties: Sequence[PropertyScenarioData],
) -> ExportSheet:
"""Shape one Scenario's Properties into a wide export sheet (ADR-0065)."""
columns: tuple[str, ...] = _ID_COLUMNS + MEASURE_COLUMNS
columns: tuple[str, ...] = _ID_COLUMNS + MEASURE_COLUMNS + _SAVINGS_COLUMNS
rows: list[dict[str, Any]] = []
for prop in properties:
row: dict[str, Any] = {
@ -125,5 +139,14 @@ def shape_scenario_sheet(
for measure in prop.measures:
if measure.measure_type in MEASURE_COLUMNS:
row[measure.measure_type] = measure.estimated_cost
# Roll the selected measures' attributed impact up to the Property.
row["sap_points"] = _sum([m.sap_points for m in prop.measures])
row["co2_equivalent_savings"] = _sum(
[m.co2_equivalent_savings for m in prop.measures]
)
row["kwh_savings"] = _sum([m.kwh_savings for m in prop.measures])
row["energy_cost_savings"] = _sum(
[m.energy_cost_savings for m in prop.measures]
)
rows.append(row)
return ExportSheet(columns=columns, rows=tuple(rows))