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fixed ranking algo for unfunded

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Khalim Conn-Kowlessar 2025-10-28 13:43:10 +00:00
parent 93723697a1
commit 504a714fc6
1 changed files with 10 additions and 6 deletions
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16
backend/engine/engine.py
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@ -959,15 +959,19 @@ async def model_engine(body: PlanTriggerRequest):
)
# Given the solutions we select the optimal one
# 1) If the scheme is ECO4, the full project funding and uplift are deducted from the cost
# 2) If the sheme is GBIS, the partial project funding and uplift are deducted from the cost
# 3) Otherwise, no funding is deducted from the cost
solutions["cost_less_full_project_funding"] = np.where(
solutions["scheme"] == "eco4",
solutions["total_cost"] - solutions["full_project_funding"] - solutions["total_uplift"],
solutions["total_cost"] - solutions["partial_project_funding"] - solutions["total_uplift"]
solutions["scheme"] == "none",
solutions["total_cost"],
np.where(
solutions["scheme"] == "eco4",
solutions["total_cost"] - solutions["full_project_funding"] - solutions["total_uplift"],
solutions["total_cost"] - solutions["partial_project_funding"] - solutions["total_uplift"]
)
)
solutions["cost_less_full_project_funding"] = (
solutions["total_cost"] - solutions["full_project_funding"] - solutions["total_uplift"]
)
solutions = solutions.sort_values("cost_less_full_project_funding", ascending=True)
if solutions["meets_upgrade_target"].any():