feat(fase1): assessment-method encoding — persisted dimension-scoped example + validator rule (F1)
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@ -37,6 +37,15 @@ MAX_SAVING_FRACTION = 0.30
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"""Policy cap: at most 30% of an affected item's cost is realistically recoverable as a
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saving. The LP bounds the feasible saving by this fraction."""
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_ENERGY_METHOD_MEASURE = "energy_efficiency"
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_ENERGY_METHOD_MAX_FRACTION = 0.15
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"""Step 9 (SC7-B): the IPMVP Option A method-specific cap. Option A measures only the KEY parameter
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and STIPULATES the rest (operating hours), so the defensibly-verifiable saving is more conservative
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than the generic policy cap — deliberately STRICTER than ``MAX_SAVING_FRACTION`` so this rule is an
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INDEPENDENT gate: it can reject a proposal the generic P90 stage passes (not redundant). The concrete
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fraction is calibrated against the reference domain; the CONDITION (a method-scoped stricter cap) is
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the encoded rule. Returns the same ``Rejection`` type — a validator stage, not a new gate."""
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_MC_SAMPLES = 512
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_MC_SEED = 20260624
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@ -126,6 +135,21 @@ def validate_proposal(proposal: SavingsProposal) -> ValidatedProposal | Rejectio
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proposal=proposal,
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reason=f"claimed saving {proposal.claimed_saving_nok:.0f} exceeds P90 feasible {p90:.0f}",
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)
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# Stage 5 (Step 9, SC7-B): a method-specific rule STRICTER than the generic cap. A proposal in
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# the energy method (IPMVP Option A) must clear a lower, method-scoped feasible — an INDEPENDENT
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# gate that can reject a proposal the P90 stage passed. Same ``Rejection`` type, not a new gate.
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if proposal.measure == _ENERGY_METHOD_MEASURE:
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method_feasible = _ENERGY_METHOD_MAX_FRACTION * sum(
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it.total for it in proposal.affected_items
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)
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if proposal.claimed_saving_nok > method_feasible:
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return Rejection(
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proposal=proposal,
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reason=(
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f"claimed {proposal.claimed_saving_nok:.0f} exceeds the {_ENERGY_METHOD_MEASURE} "
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f"method cap {method_feasible:.0f} (stricter than the generic P90)"
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),
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)
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return ValidatedProposal(proposal=proposal, p10=p10, p50=p50, p90=p90, nominal_feasible=nominal)
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