feat(s31): --semantic-retrieval opt-in threaded through run_project/run_portfolio
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2 changed files with 195 additions and 1 deletions
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@ -50,6 +50,11 @@ from portfolio_optimiser.provenance import ProvenanceStamp
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from portfolio_optimiser.reference_domain import Project, load_reference_projects
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from portfolio_optimiser.validator import Rejection, ValidatedProposal
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from portfolio_optimiser import okf, outbox
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from portfolio_optimiser.semretrieval import (
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SEMANTIC_WEIGHT_DEFAULT,
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FakeEmbedder,
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HybridRanker,
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)
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from portfolio_optimiser.verdicts import (
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ExpeLContextProvider,
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ProposalFeatures,
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@ -58,6 +63,7 @@ from portfolio_optimiser.verdicts import (
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bundle_candidate_features,
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capture_verdict,
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load_verdicts_from_dir,
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similarity,
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)
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from portfolio_optimiser.value_report import (
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build_value_report,
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@ -251,6 +257,7 @@ async def run_project(
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notify: Callable[[Verdict], None] | None = None,
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meter: TokenMeter | None = None,
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live_dry_run: bool = False,
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semantic_retrieval: bool = False,
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) -> RunResult | DryRunReport:
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"""Run the vertical slice for ONE project. ``client_factory`` is the test-injection seam
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(defaults to the real backend). ``verdict_input`` carries the expert decision/rationale
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@ -271,7 +278,12 @@ async def run_project(
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crossed, and ``ValueError`` when ``outbox_dir`` is set without a ``run_id``. ``live_dry_run``
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(S4.2, comparison protocol §4 pkt 2/3) is the offline drill: it walks the whole path up to the
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EAGER client build, writes the run-config artefact (when ``outbox_dir`` is set), and returns a
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``DryRunReport`` BEFORE the first model call (``debate.run``) — zero chat calls."""
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``DryRunReport`` BEFORE the first model call (``debate.run``) — zero chat calls.
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``semantic_retrieval`` (S3.1) is the opt-in scaling seam: when true, the store's ranker is
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swapped for a ``HybridRanker`` that blends brute-force cosine over embedded features with the
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structural score, so a semantically related prior verdict carrying a DIFFERENT cost-code set
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can reach the Step-1 fold. Default false keeps the structural, text-excluded ranking exactly
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as before."""
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# 0. Fail-fast: an outbox write is byte-deterministic and keyed on run_id — no wall-clock default.
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if outbox_dir is not None and run_id is None:
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raise ValueError(
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@ -376,6 +388,13 @@ async def run_project(
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# post-generation into a discarded SessionContext (step 7 below), so a prior verdict could not
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# reach the next hypothesis. Bundle-driven path with a populated store only; the road path is
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# untouched (its post-hoc, proposal-keyed retrieval below is unchanged).
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# S3.1 opt-in: install the hybrid ranker on the RESOLVED store, immediately before the fold it
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# is meant to affect. Anchoring matters — set at the verdict_dir-conditional resolution above
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# it would miss every run without an inbox, and set after the fold it would rank nothing that
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# reaches this prompt. Flag off => store.retriever stays None => StructuralRetriever default.
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if semantic_retrieval and store is not None:
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store.retriever = HybridRanker(FakeEmbedder(), similarity, SEMANTIC_WEIGHT_DEFAULT)
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if bundle_dir is not None and store is not None and store.verdicts:
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expel_query = bundle_candidate_features(bundle_dir)
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fewshot = ExpeLContextProvider(store, expel_query, k=top_k).format_fewshot()
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@ -526,6 +545,7 @@ async def run_portfolio(
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max_tokens: int = 100_000,
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top_k: int = 3,
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meter_factory: Callable[[], TokenMeter] | None = None,
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semantic_retrieval: bool = False,
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) -> PortfolioResult:
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"""Fan out over a portfolio of independent projects SEQUENTIALLY, composing ``run_project``
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as-is (every project's execution state — meter, debate, retrieval context — is built fresh
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@ -551,6 +571,10 @@ async def run_portfolio(
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projects = {p.id: p for p in load_reference_projects()}
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ids = list(project_ids) if project_ids is not None else list(projects)
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store = store if store is not None else VerdictStore(verdicts=[])
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# S3.1: one shared store is threaded across every project, so installing the hybrid here —
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# before the loop — covers every project's Step-1 fold in this pass.
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if semantic_retrieval:
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store.retriever = HybridRanker(FakeEmbedder(), similarity, SEMANTIC_WEIGHT_DEFAULT)
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ledger = ledger if ledger is not None else SavingsLedger(entries=[])
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goals = goals if goals is not None else GoalConfig()
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portfolio_baseline_ore = _to_ore(sum(projects[p].total_cost for p in ids if p in projects))
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@ -673,6 +697,14 @@ def main(argv: list[str] | None = None) -> int:
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help="portfolio mode: accumulated savings ledger JSON (fail-fast) read for the goal-stop "
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"(earlier out-of-band HITL realizations — never built during the pass)",
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)
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parser.add_argument(
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"--semantic-retrieval",
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action="store_true",
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help="S3.1 opt-in scaling seam: rank prior verdicts with a hybrid of brute-force cosine "
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"over embedded features and the structural score, so a semantically related verdict with a "
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"DIFFERENT cost-code set can reach the hypothesis prompt. Valid in both modes; OFF by "
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"default, and off means the structural, text-excluded ranking is unchanged",
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)
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parser.add_argument("--decision", default="approved", choices=["approved", "rejected"])
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parser.add_argument("--rationale", default="reviewed by expert")
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parser.add_argument(
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@ -721,6 +753,7 @@ def main(argv: list[str] | None = None) -> int:
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"--outbox-dir": args.outbox_dir is not None,
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"--run-id": args.run_id is not None,
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"--dimension-config": args.dimension_config is not None,
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"--semantic-retrieval": args.semantic_retrieval,
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}
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if any(report_forbidden.values()):
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print(
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@ -792,6 +825,7 @@ def main(argv: list[str] | None = None) -> int:
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dimension=dimension,
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ledger=ledger,
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goals=goals,
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semantic_retrieval=args.semantic_retrieval,
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)
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)
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except (ValueError, FileNotFoundError, ValidationError) as exc:
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@ -878,6 +912,7 @@ def main(argv: list[str] | None = None) -> int:
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outbox_dir=args.outbox_dir,
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run_id=args.run_id,
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verdict_input={"decision": args.decision, "rationale": args.rationale},
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semantic_retrieval=args.semantic_retrieval,
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)
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),
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)
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@ -17,6 +17,7 @@ import pytest
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from portfolio_optimiser import run
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from portfolio_optimiser.dimension import Dimension
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from portfolio_optimiser.ledger import LedgerEntry, SavingsLedger
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from portfolio_optimiser.run import run_project
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from portfolio_optimiser.verdicts import ProposalFeatures, capture_verdict, write_verdict
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BUNDLE_DIR = Path(__file__).resolve().parents[1] / "shared" / "examples" / "bygg-energi-mikro"
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@ -416,3 +417,161 @@ def test_json_without_report_refuses(tmp_path, capsys) -> None:
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rc = run.main(["--json", "--ledger", str(_report_ledger(tmp_path))])
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assert rc == 1
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assert "refused" in capsys.readouterr().err.lower()
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# --- S3.1 SC6: --semantic-retrieval opt-in (default OFF) --------------------------------------
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_ENERGY_REPLY = (
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'{"measure":"LED-retrofit av kontorbelysning","affected_items":'
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'[{"code":"ENERGI-TOTAL-EL","quantity":300000,"unit_cost":1.0}],"claimed_saving_nok":30000}'
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)
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_VERDICT_INPUT = {"decision": "approved", "rationale": "expert reviewed (sim)"}
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# The marker lives in the RATIONALE, which is what ``format_fewshot`` emits into the prompt.
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# "0.37" appears nowhere in the bundle (grep-verified), so its presence in a prompt can only have
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# come through the ExpeL fold — it cannot be leaked by bundle context.
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_TIE_MARKER = "realiseringsgrad=0.37"
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_MARKER_ID = "zz-s31-run-marker"
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_DISTRACTOR_ID = "aa-s31-run-distractor"
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def _tied_pair_store():
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"""Two verdicts that are structurally IDENTICAL to the bundle's candidate (similarity 1.0
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each), so the structural ranking can only separate them on ``id`` — and ``_MARKER_ID`` loses
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that tie. Only the cosine term can promote it.
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The bundle's own seed verdict is deliberately NOT included: its features are byte-identical to
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the query, making it a perfect cosine match that would win every hybrid ranking and so could
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never demonstrate a tie-break."""
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from portfolio_optimiser.verdicts import Verdict, VerdictStore, bundle_candidate_features
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query = bundle_candidate_features(str(BUNDLE_DIR))
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def tied(verdict_id: str, description: str, rationale: str) -> Verdict:
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return Verdict(
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id=verdict_id,
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proposal_features=ProposalFeatures(
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affected_codes=query.affected_codes,
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measure_type=query.measure_type,
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claimed_saving_nok=query.claimed_saving_nok,
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description=description,
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),
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decision="approved",
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rationale=rationale,
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)
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return VerdictStore(
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verdicts=[
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tied(
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_DISTRACTOR_ID,
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"avvist forslag om reforhandling av renholdskontrakt i administrasjonsbygget",
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"ingen realiseringsdata for dette tiltaket",
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),
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tied(
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_MARKER_ID,
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"LED-retrofit i kontorlokaler: 90 W armaturer erstattet med 40 W",
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f"tidligere LED-dom [{_TIE_MARKER}]",
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),
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]
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)
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def _generation_prompts(sink: list[str]) -> list[str]:
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return [p for p in sink if "SavingsProposal" in p]
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def test_semantic_retrieval_flag_parses_offline(capsys) -> None:
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"""(a) the flag is accepted in single-project mode and the run still stops offline."""
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rc = run.main(
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[
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_PID,
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"--docs-dir",
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str(BUNDLE_DIR),
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"--bundle-dir",
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str(BUNDLE_DIR),
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"--semantic-retrieval",
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"--live-dry-run",
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]
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)
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assert rc == 0
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assert "LIVE-DRY-RUN OK" in capsys.readouterr().out
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def test_semantic_retrieval_is_not_refused_in_portfolio_mode(capsys) -> None:
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"""The flag is valid in BOTH modes (like --dimension-config), so the portfolio partition must
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not name it. Probed via a run that IS refused for a different flag: the refusal lists
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``--docs-dir`` and must NOT mention ``--semantic-retrieval``."""
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rc = run.main(["--portfolio", "--semantic-retrieval", "--docs-dir", str(BUNDLE_DIR)])
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err = capsys.readouterr().err
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assert rc == 1
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assert "--docs-dir" in err
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assert "--semantic-retrieval" not in err
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def test_report_with_semantic_retrieval_is_refused(tmp_path, capsys) -> None:
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"""--report is an ALLOWLIST: only --ledger/--json ride along. A silently-dropped
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--semantic-retrieval would break that partition."""
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ledger_file = tmp_path / "ledger.json"
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SavingsLedger(entries=[]).save(str(ledger_file))
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rc = run.main(["--report", "--ledger", str(ledger_file), "--semantic-retrieval"])
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assert rc == 1
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assert "refused" in capsys.readouterr().err.lower()
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async def test_semantic_retrieval_on_swaps_the_fewshot_reaching_the_prompt(
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make_recording_client_factory,
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) -> None:
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"""(c) the substantive run-level proof: with ``semantic_retrieval=True`` and ``top_k=1``, the
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verdict that only cosine can surface is the one whose rationale reaches the hypothesis prompt.
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Drives the REAL Step-1 fold via the recording client — not ``--live-dry-run``, which returns
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before the fold."""
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factory, recorded = make_recording_client_factory(_ENERGY_REPLY)
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await run_project(
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_PID,
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"local",
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docs_dir=str(BUNDLE_DIR),
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bundle_dir=str(BUNDLE_DIR),
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verdict_input=_VERDICT_INPUT,
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store=_tied_pair_store(),
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client_factory=factory,
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top_k=1,
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semantic_retrieval=True,
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)
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gen_prompts = _generation_prompts(recorded)
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assert gen_prompts, "the generation call must have happened"
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assert any(_TIE_MARKER in p for p in gen_prompts), (
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"the cosine-surfaced verdict did not reach the hypothesis prompt — "
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"--semantic-retrieval is not installing the HybridRanker before the Step-1 fold"
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)
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assert any(_MARKER_ID in p for p in gen_prompts)
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async def test_semantic_retrieval_off_leaves_the_structural_pick_in_the_prompt(
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make_recording_client_factory,
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) -> None:
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"""CAUSALITY CONTROL — the identical run with the flag OFF must carry the STRUCTURAL winner
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instead, and no marker. This is what makes the positive above load-bearing: the swap is caused
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by the flag, not by the fixture merely containing the marker."""
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factory, recorded = make_recording_client_factory(_ENERGY_REPLY)
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await run_project(
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_PID,
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"local",
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docs_dir=str(BUNDLE_DIR),
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bundle_dir=str(BUNDLE_DIR),
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verdict_input=_VERDICT_INPUT,
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store=_tied_pair_store(),
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client_factory=factory,
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top_k=1,
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)
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assert all(_TIE_MARKER not in p for p in recorded), (
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"the marker reached a prompt with --semantic-retrieval OFF — the default path is not the "
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"structural ranking, or the assertion is not load-bearing"
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)
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gen_prompts = _generation_prompts(recorded)
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assert any(_DISTRACTOR_ID in p for p in gen_prompts), (
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"the structural winner did not reach the prompt — the default fold is broken"
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)
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