feat(validator): anchor the deterministic gate to the project's real cost baseline (S4.0)
Every stage of validate_proposal reasoned only about numbers the proposal itself supplied, so an internally-consistent hallucination cleared the whole gate (F3). A new stage 0 reconciles each affected_item against the project's CostBaseline before the CBC solve: an unknown cost code is rejected, and a real code carrying a quantity/unit_cost outside the configured tolerance (5% default, relative to the baseline value) is rejected. Validation, never repair. The baseline argument is OPTIONAL (None = pre-S4.0 behaviour), but both run paths set it: the road path projects project.cost_items, the bundle path loads cost-baseline.json when the bundle ships one. Bundles written before the amendment stay un-anchored, so the commons-owned goldens run byte-identically; a baseline that exists but is malformed still raises on both loaders. F8: the method-specific cap now comes from the METHOD_CAPS registry (measure type -> fraction, injectable) instead of an energy_efficiency string comparison. The baseline format and tolerance semantics were decided locally — the commons amendment (D-A pt. 2) never arrived, exactly as in S3.2. D7 mirroring stays open. Three portfolio fixtures quoted cost codes belonging to OTHER projects; the new gate caught them. They now quote each project's own lines, and the two copied REPLIES tables import the single source instead of drifting from it. Load-bearing measured (tests/test_s40_cost_baseline_loadbearing.py), six mutations all red: detach the reconciliation stage; detach the magnitude tolerance; detach the road wiring; detach the bundle wiring; ignore the injected cap registry; make the optional loader tolerant of malformed content. Control: with the road wiring detached the repaired portfolio fixtures still pass, so they are not masking the seam. 597 -> 612 tests. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01JdwK7bQ4BZkWH4t8MRDKb4
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16 changed files with 645 additions and 69 deletions
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@ -24,13 +24,13 @@ from __future__ import annotations
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import random
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import statistics
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import warnings
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from collections.abc import Callable
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from collections.abc import Callable, Mapping
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from contextlib import contextmanager
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from dataclasses import dataclass
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import pulp
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from portfolio_optimiser.ir import AffectedItem, SavingsProposal
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from portfolio_optimiser.ir import AffectedItem, CostBaseline, CostBaselineLine, SavingsProposal
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from portfolio_optimiser.reference_domain import Project
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MAX_SAVING_FRACTION = 0.30
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@ -46,6 +46,21 @@ INDEPENDENT gate: it can reject a proposal the generic P90 stage passes (not red
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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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METHOD_CAPS: dict[str, float] = {_ENERGY_METHOD_MEASURE: _ENERGY_METHOD_MAX_FRACTION}
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"""S4.0 (F8): the method-cap REGISTRY — measure type -> method-scoped max saving fraction. The
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rule used to be an ``if proposal.measure == "energy_efficiency"`` branch, so encoding a second
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assessment method meant editing the validator. It is now data: a caller passes its own registry
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(``validate_proposal(..., method_caps=...)``), keyed by the measure type a dimension admits
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(``dimension.allowed_measure_types``), and the built-in entry stays the default so the Step-9
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behaviour is unchanged. Deliberately NOT a config file yet — the deliverable is the key-by-config
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seam (90%-prinsippet), not a settings format."""
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BASELINE_TOLERANCE_DEFAULT = 0.05
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"""S4.0: the relative deviation a reconciled ``AffectedItem`` may show against its cost-baseline
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line (5%). A tolerance is needed at all because a proposer restates magnitudes in prose-derived,
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rounded form; it is small because its whole purpose is to leave no room for a FABRICATED magnitude.
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Config, not policy: every caller can tighten or loosen it per run (``tolerance=``)."""
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_MC_SAMPLES = 512
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_MC_SEED = 20260624
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@ -122,9 +137,83 @@ def _monte_carlo(
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return deciles[0], deciles[4], deciles[8] # P10, P50, P90
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def validate_proposal(proposal: SavingsProposal) -> ValidatedProposal | Rejection:
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def baseline_from_project(project: Project) -> CostBaseline:
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"""Project a road reference-domain ``Project``'s ``cost_items`` into the ``CostBaseline``
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contract — the road-path counterpart of ``okf.load_cost_baseline`` (S4.0). The road path always
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HAS its baseline (the estimate is the project), so this projection is total: no optional
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variant, and a run on this path is always anchored."""
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return CostBaseline(
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project_id=project.id,
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items={
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ci.code: CostBaselineLine(quantity=ci.quantity, unit_cost=ci.unit_cost)
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for ci in project.cost_items
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},
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)
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def _reconcile_against_baseline(
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proposal: SavingsProposal, baseline: CostBaseline, tolerance: float
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) -> Rejection | None:
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"""S4.0 (F3): every affected item must correspond to a REAL line of the project's cost baseline.
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Two independent failures, both fail-closed:
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* the cost code is absent from the baseline — a fabricated line;
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* the code is real but its ``quantity``/``unit_cost`` deviates from the baseline line by more
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than ``tolerance`` (relative to the BASELINE value, which is the ground truth) — a real code
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carrying a fabricated magnitude.
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Returns the first ``Rejection`` (validator's own type — never a new gate), or ``None`` when the
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proposal reconciles. Items are checked in their stated order so the reason is deterministic.
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A validation, never a repair: the proposal is rejected, not silently corrected to the baseline."""
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for item in proposal.affected_items:
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line = baseline.items.get(item.code)
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if line is None:
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return Rejection(
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proposal=proposal,
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reason=(
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f"unknown cost code {item.code!r}: not in project {baseline.project_id}'s "
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f"cost baseline ({len(baseline.items)} known codes)"
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),
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)
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for field, claimed, actual in (
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("quantity", item.quantity, line.quantity),
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("unit_cost", item.unit_cost, line.unit_cost),
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):
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if abs(claimed - actual) > tolerance * actual:
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return Rejection(
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proposal=proposal,
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reason=(
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f"{field} {claimed:g} for cost code {item.code!r} is outside the "
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f"{tolerance:.1%} tolerance around the baseline {field} {actual:g}"
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),
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)
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return None
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def validate_proposal(
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proposal: SavingsProposal,
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*,
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baseline: CostBaseline | None = None,
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tolerance: float = BASELINE_TOLERANCE_DEFAULT,
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method_caps: Mapping[str, float] | None = None,
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) -> ValidatedProposal | Rejection:
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"""Deterministic blocking validation. Returns a ``ValidatedProposal`` only when the
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claim is feasible; otherwise a ``Rejection`` that cannot be consumed as validated."""
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claim is feasible; otherwise a ``Rejection`` that cannot be consumed as validated.
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``baseline`` (S4.0, F3) anchors the gate to the project's ACTUAL cost lines: without it every
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stage reasons only about numbers the proposal supplied itself, so an internally-consistent
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hallucination clears the gate. It is OPTIONAL — ``None`` is exactly the pre-S4.0 behaviour, so a
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caller with no baseline (a bundle authored before the amendment) is unchanged — but both run
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paths SET it. ``tolerance`` is the reconciliation's config knob; ``method_caps`` overrides the
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built-in method-cap registry (F8)."""
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# Stage 0 (S4.0): reconcile against the cost baseline BEFORE the solver. It is the cheapest
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# stage and the only one that can tell a fabricated line from a real one — spending a CBC solve
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# on numbers that do not belong to the project is work on a claim that cannot be validated.
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if baseline is not None:
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blocked = _reconcile_against_baseline(proposal, baseline, tolerance)
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if blocked is not None:
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return blocked
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# Stage 1 (Pydantic) already ran at construction. Stage 2: real CBC solve.
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nominal = _solve_max_feasible(proposal.affected_items, MAX_SAVING_FRACTION)
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# Stage 3: Monte Carlo percentiles of the feasible saving.
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@ -152,15 +241,18 @@ def validate_proposal(proposal: SavingsProposal) -> ValidatedProposal | Rejectio
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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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# F8 (S4.0): the cap is looked up in a REGISTRY keyed by measure type (config), not compared
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# against the ``energy_efficiency`` literal — a second assessment method is now data, not an
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# edit to this function. The built-in registry keeps the Step-9 behaviour identical.
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caps = METHOD_CAPS if method_caps is None else method_caps
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method_fraction = caps.get(proposal.measure)
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if method_fraction is not None:
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method_feasible = method_fraction * sum(it.total for it in proposal.affected_items)
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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"claimed {proposal.claimed_saving_nok:.0f} exceeds the {proposal.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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