feat(learning-harness): one teacher rule across every learning path

Task 3.1. A teacher is a vendored pair, at a review tier a maintainer stands
behind, on the train split, and scorable. Every learning path now asks the same
module that one question, so the split cannot be enforced in one place and
forgotten in another. A refusal is data rather than an exception: the path
records which holdout pairs a candidate touched and moves on, so a leak is
visible in the run instead of silently accepted.

The exporter refuses to seed from a holdout pair, leave-one-out teaches from the
train split while still scoring every pair, and the mechanism lever refuses a
candidate a holdout pair taught, because such a shape can only recover the pair
that produced it.

Measured and committed: on the vibe-py holdout the lever's own number falls from
seven detected and a Youden of +0.059 to five detected and -0.059 once holdout
pairs stop teaching, and the candidate set shrinks from ten shapes to six. That
gap is the inflation this rule removes.

Two existing tests encoded the leak and now encode the truth. The documented
export-to-improve flow had a single holdout pair teaching itself, and now needs
a train pair to teach and a holdout pair to recover. The obligation export
claimed the corpus seeds at least one obligation shape, which was true only
because holdout pairs were teaching: every vibe-py absence pair that yields an
obligation lesson sits on the holdout side, so the honest number today is zero.
The derivation stays covered by fixtures; the corpus gap belongs to the absence
re-harvest and to a maintainer pass over the splits.

Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
This commit is contained in:
Marius Ciepluch
2026-09-06 10:15:44 +02:00
co-authored by Claude Opus 5
parent e4b9607b2d
commit 86ed54c2e4
8 changed files with 239 additions and 25 deletions
@@ -0,0 +1,19 @@
{
"after": {
"detected": 5,
"shapes": 6,
"silent": 11,
"youden": -0.0588
},
"before": {
"detected": 7,
"shapes": 10,
"silent": 11,
"youden": 0.0588
},
"command": "ousast mechanisms export --slice vibe-py, then score every holdout pair with semantic.loo.score_pair_with_store",
"generated": "2026-09-06",
"holdout_pairs": 17,
"note": "`before` is the behaviour this spec found: the exporter seeded candidate shapes from every vendored pair, so a shape a holdout pair taught could recover that same pair. `after` is the same measurement with the teacher rule enforced: only train-split, scorable, trusted pairs seed. The difference is the inflation.",
"slice": "vibe-py"
}
+6 -1
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@@ -116,7 +116,8 @@ def propose_mechanism_edits(pair_cases: Sequence[object], candidates: object, st
from ..semantic.loo import score_pair_with_store
from ..semantic.mechanisms import MechanismStore, corpus_mechanisms
cases = list(select_tier(select_vendored([case for case in pair_cases if isinstance(case, PairCase)]), GATING_TIERS))
cases_all = [case for case in pair_cases if isinstance(case, PairCase)]
cases = list(select_tier(select_vendored(cases_all), GATING_TIERS))
if not cases:
return []
facts = _facts()
@@ -133,9 +134,13 @@ def propose_mechanism_edits(pair_cases: Sequence[object], candidates: object, st
)
)
missed = [case for case in cases if not current[case.name].detected]
from ..learning.split import refuse_if_holdout
for record in corpus_mechanisms(candidates.load()): # type: ignore[attr-defined]
if record.id in admitted or not missed:
continue
if refuse_if_holdout(record.pairs, cases_all) is not None:
continue # learning-harness Req 5.2: a shape a holdout pair taught can never recover that pair
with tempfile.TemporaryDirectory(prefix="ousast-lever-") as scratch:
trial = MechanismStore(Path(scratch) / "trial.jsonl")
trial.append(record)
+64
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@@ -0,0 +1,64 @@
"""One rule for who may teach, and one refusal for anything that touches the holdout (Req 5.1, 5.2).
Every learning path in the tool asks this module the same question, so the split cannot be enforced in
one place and forgotten in another. A teacher is a vendored pair, at a review tier a maintainer stands
behind, on the train split, and scorable. Everything else may be measured; nothing else may teach.
A refusal is data, not an exception: the path records which holdout pairs a candidate touched and moves
on, so a leak is visible in the run rather than silently accepted.
"""
from __future__ import annotations
from collections.abc import Iterable, Sequence
from dataclasses import dataclass
GATING_TIERS = frozenset({"seeded", "reviewed"})
TRAIN = "train"
HOLDOUT = "holdout"
REFUSED = "holdout_pair_refused"
@dataclass(frozen=True)
class Refusal:
"""A candidate that a holdout pair taught, or that touches one."""
pairs: tuple[str, ...]
reason: str = REFUSED
def degradation(self) -> dict[str, object]:
return {
"stage": "learning",
"reason": self.reason,
"pairs": list(self.pairs),
"detail": f"refused: taught by or touching holdout pair(s) {', '.join(self.pairs)}",
}
def teachers(cases: Sequence[object]) -> tuple[object, ...]:
"""The pairs a learning path may learn from. Everything else is measured, never learned from."""
return tuple(case for case in cases if is_teacher(case))
def is_teacher(case: object) -> bool:
if not bool(getattr(case, "vendored", True)):
return False
if str(getattr(case, "review_tier", "")) not in GATING_TIERS:
return False
if str(getattr(case, "split", TRAIN)) != TRAIN:
return False
return getattr(case, "unscorable", None) is None
def holdout_names(cases: Sequence[object]) -> frozenset[str]:
return frozenset(str(getattr(case, "name", "")) for case in cases if str(getattr(case, "split", "")) == HOLDOUT)
def refuse_if_holdout(taught_by: Iterable[str], cases: Sequence[object]) -> Refusal | None:
"""None when nothing in ``taught_by`` is a holdout pair; a refusal naming them when something is."""
held = holdout_names(cases)
touched = tuple(sorted({name for name in taught_by if name in held}))
return Refusal(pairs=touched) if touched else None
__all__ = ["GATING_TIERS", "HOLDOUT", "REFUSED", "TRAIN", "Refusal", "holdout_names", "is_teacher", "refuse_if_holdout", "teachers"]
+5 -2
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@@ -20,7 +20,7 @@ from dataclasses import dataclass, field
from pathlib import Path
from ..findings import StaticFinding
from ..pairs import GATING_TIERS, PairCase, _materialize, _targets
from ..pairs import PairCase, _materialize, _targets
from .facts import FactLoadError, SemanticFacts, load_facts
from .functions import named_function_ranges, spans_named
from .mechanisms import Mechanism, MechanismStore, append_from_pair, corpus_mechanisms
@@ -99,7 +99,10 @@ def evaluate_loo(cases: Sequence[PairCase], *, facts: SemanticFacts | None = Non
skipped.append((case.name, "pointer_pair_not_cached" if not case.vendored else "excerpt_missing"))
else:
targets.append(case)
lessons = {case.name: pair_lessons(case, loaded) for case in targets if case.review_tier in GATING_TIERS}
from ..learning.split import is_teacher
# learning-harness Req 5.1: every pair is still scored, but only a train-split teacher may seed a store.
lessons = {case.name: pair_lessons(case, loaded) for case in targets if is_teacher(case)}
outcomes = [_hold_out(case, targets, lessons, loaded) for case in targets]
return LooResult(
outcomes=tuple(outcomes),
+4
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@@ -193,6 +193,10 @@ def _obligation_facts() -> ObligationFacts:
def _skip_reason(case: PairCase) -> str | None:
from ..learning.split import is_teacher
if not is_teacher(case) and case.review_tier in GATING_TIERS and case.vendored and not case.known_limit:
return f"split:{case.split}" # learning-harness Req 5.1: only train-split, scorable pairs teach
if case.review_tier not in GATING_TIERS:
return f"tier:{case.review_tier}"
if case.known_limit:
+109
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@@ -0,0 +1,109 @@
"""learning-harness task 3.1: one teacher rule across every learning path (offline)."""
from __future__ import annotations
import json
from pathlib import Path
from openultrasast.benchmark import ExpectedFinding
from openultrasast.pairs import DEFAULT_CATALOG, PairCase, load_pair_catalog, select_slice, select_vendored
def _case(tmp_path: Path, name: str, *, split: str = "train", tier: str = "seeded", unscorable: str | None = None) -> PairCase:
(tmp_path / f"{name}.py").write_text(f"# {name}\nx = 1\n")
return PairCase(
name=name,
slice="vibe-py",
language="python",
origin="test",
vuln_file=tmp_path / f"{name}.py",
fixed_file=tmp_path / f"{name}.py",
relpath="app.py",
expected=(ExpectedFinding(cwe="CWE-89", vulnerability_class="x", path="app.py", evidence="", function="f", mechanism="other"),),
min_recall=1.0,
fix_policy="silent",
split=split,
review_tier=tier,
reviewer="m" if tier == "reviewed" else "",
unscorable=unscorable,
)
def test_only_vendored_trusted_scorable_train_pairs_may_teach(tmp_path: Path) -> None:
from openultrasast.learning.split import teachers
cases = [
_case(tmp_path, "train-seeded"),
_case(tmp_path, "train-reviewed", tier="reviewed"),
_case(tmp_path, "holdout-seeded", split="holdout"),
_case(tmp_path, "train-untrusted", tier="title"),
_case(tmp_path, "train-twin", unscorable="identical_twin"),
]
assert [case.name for case in teachers(cases)] == ["train-seeded", "train-reviewed"]
def test_a_candidate_taught_by_a_holdout_pair_is_refused_by_name(tmp_path: Path) -> None:
from openultrasast.learning.split import refuse_if_holdout
cases = [_case(tmp_path, "train-one"), _case(tmp_path, "holdout-one", split="holdout")]
assert refuse_if_holdout(["train-one"], cases) is None
refusal = refuse_if_holdout(["train-one", "holdout-one"], cases)
assert refusal is not None and refusal.pairs == ("holdout-one",)
assert refusal.reason == "holdout_pair_refused"
degradation = refusal.degradation()
assert degradation["stage"] == "learning" and degradation["pairs"] == ["holdout-one"]
assert "holdout-one" in str(degradation["detail"])
def test_the_exporter_seeds_from_train_pairs_only(tmp_path: Path) -> None:
from openultrasast.semantic.mechanisms import MechanismStore, corpus_mechanisms
from openultrasast.semantic.seed import export_mechanisms
cases = select_vendored(select_slice(load_pair_catalog(DEFAULT_CATALOG), "vibe-py"))
holdout = {case.name for case in cases if case.split == "holdout"}
store = MechanismStore(tmp_path / "candidates.jsonl")
report = export_mechanisms(cases, store)
taught_by_holdout = [record.id for record in corpus_mechanisms(store.load()) if set(record.pairs) & holdout]
assert taught_by_holdout == []
assert report.records > 0 and any(reason.startswith("split:") for _pair, reason in report.skipped)
def test_leave_one_out_teaches_from_train_pairs_only(tmp_path: Path) -> None:
from openultrasast.semantic.loo import evaluate_loo
cases = [_case(tmp_path, "train-one"), _case(tmp_path, "holdout-one", split="holdout")]
result = evaluate_loo(cases)
assert {outcome.pair for outcome in result.outcomes} == {"train-one", "holdout-one"} # every pair is still scored
assert result.teaching_pairs <= 1 # only the train pair could ever have taught
def test_the_mechanism_lever_refuses_a_candidate_a_holdout_pair_taught(tmp_path: Path) -> None:
from openultrasast.improve.evolve import propose_mechanism_edits
from openultrasast.semantic.mechanisms import MechanismStore, append_from_pair
from openultrasast.semantic.variants import Shape
shape = Shape(
language="python",
sink_name="system",
arity=1,
source_positions=(0,),
source_kinds=("request",),
guard="none",
mechanism="source_reaches_sink",
)
candidates = MechanismStore(tmp_path / "candidates.jsonl")
append_from_pair(candidates, shape, summary="s", cwe="CWE-78", pair="holdout-one", provenance="human", tier="seeded")
cases = [_case(tmp_path, "train-one"), _case(tmp_path, "holdout-one", split="holdout")]
edits = propose_mechanism_edits(cases, candidates, tmp_path / "scan.jsonl")
assert [edit.mechanism_id for edit in edits if edit.action == "admit"] == []
def test_the_corrected_lever_number_is_measured_and_committed() -> None:
report = Path("benchmarks/measurements/2026-09-06-mechanism-lever-split.json")
assert report.is_file()
payload = json.loads(report.read_text())
assert payload["slice"] == "vibe-py" and payload["holdout_pairs"] > 0
assert set(payload["before"]) >= {"detected", "silent", "youden", "shapes"}
assert set(payload["after"]) >= {"detected", "silent", "youden", "shapes"}
assert payload["after"]["shapes"] < payload["before"]["shapes"] # holdout pairs no longer teach
assert payload["after"]["youden"] <= payload["before"]["youden"]
+16 -4
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@@ -195,14 +195,26 @@ def test_no_gain_admission_is_rejected_and_reverted_mechanism_edits_are_not_repr
def _holdout_catalog(tmp_path: Path) -> Path:
"""A train pair to teach and a holdout pair to recover.
The catalog used to hold the holdout pair alone, so the only shape available was the one that pair
taught about itself; learning-harness Req 5.1 refuses that, and rightly.
"""
(tmp_path / "x-v.py").write_text(EXEC_VULN)
(tmp_path / "x-f.py").write_text(EXEC_FIX)
(tmp_path / "t-v.py").write_text(EXEC_VULN.replace("lookup", "search").replace("u = ", "name = "))
(tmp_path / "t-f.py").write_text(EXEC_FIX.replace("lookup", "search").replace("u = ", "name = "))
row = (
'[[pair]]\nname = "{name}"\nslice = "github"\nlanguage = "python"\nvuln = "{name[0]}-v.py"\nfixed = "{name[0]}-f.py"\n'
'relpath = "app.py"\nsplit = "{split}"\nreview_tier = "reviewed"\nreviewer = "t"\n\n'
'[[pair.expected]]\ncwe = "CWE-89"\nclass = "sql injection"\npath = "app.py"\nfunction = "{function}"\n'
'sink = "execute"\nmechanism = "source_reaches_sink"\n'
)
catalog = tmp_path / "pairs.toml"
catalog.write_text(
'[[pair]]\nname = "x"\nslice = "github"\nlanguage = "python"\nvuln = "x-v.py"\nfixed = "x-f.py"\nrelpath = "app.py"\n'
'split = "holdout"\nreview_tier = "reviewed"\nreviewer = "t"\n\n'
'[[pair.expected]]\ncwe = "CWE-89"\nclass = "sql injection"\npath = "app.py"\nfunction = "lookup"\n'
'sink = "execute"\nmechanism = "source_reaches_sink"\n'
row.replace("{name}", "x").replace("{name[0]}", "x").replace("{split}", "holdout").replace("{function}", "lookup")
+ "\n"
+ row.replace("{name}", "t").replace("{name[0]}", "t").replace("{split}", "train").replace("{function}", "search")
)
return catalog
+16 -18
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@@ -111,29 +111,27 @@ def test_sink_search_ignores_obligation_rows(tmp_path: Path) -> None:
assert result.mechanisms_searched == 0 and result.hits == () and result.degradations == ()
def test_real_vibe_py_absence_pairs_seed_at_least_one_obligation_shape(tmp_path: Path) -> None:
def test_the_train_split_of_vibe_py_teaches_no_obligation_shape_today(tmp_path: Path) -> None:
"""learning-harness Req 5.1 turned this number honest, and the honest number is zero.
Every vibe-py absence pair that yields an obligation lesson sits on the holdout side, so once only
train-split pairs may teach, the corpus teaches no obligation shape at all. The earlier result
("at least one obligation shape from vibe-py") was true only because holdout pairs were teaching.
The derivation itself stays covered by the fixture tests above; this pins the corpus gap, which the
absence re-harvest and a maintainer pass over the splits are what close.
"""
from openultrasast.pairs import load_pair_catalog, select_slice, select_vendored
from openultrasast.semantic.obligations.shapes import obligation_mechanisms
from openultrasast.semantic.seed import export_mechanisms
store = MechanismStore(tmp_path / "m.jsonl")
report = export_mechanisms(select_vendored(select_slice(load_pair_catalog(), "vibe-py")), store)
rows = obligation_mechanisms(store.load())
assert rows and any("vampi-books-get-by-title" in r.pairs and "vampi-users-update-password" in r.pairs for r in rows)
vampi = next(r for r in rows if "vampi-books-get-by-title" in r.pairs)
assert vampi.shape is not None
assert (vampi.shape["operation_kind"], vampi.shape["discharger_kind"], vampi.shape["provenance"], vampi.shape["resource_class"]) == (
"protected_read",
"identity_constraint",
"authenticated_context",
"owned",
)
assert all(
r.shape is not None and r.shape["operation_kind"] in {"protected_read", "protected_write", "privileged_action", "security_setting"}
for r in rows
)
flow_rows = [r for r in store.load() if r.shape is not None and r.shape.get("family", "sink") == "sink"]
assert report.records == len(flow_rows) + len(rows) and len(flow_rows) >= 1 # both families, nothing lost to the other
cases = select_vendored(select_slice(load_pair_catalog(), "vibe-py"))
report = export_mechanisms(cases, store)
assert obligation_mechanisms(store.load()) == ()
refused = {pair for pair, reason in report.skipped if reason.startswith("split:")}
assert {"vampi-books-get-by-title", "vampi-users-update-password", "threatbyte-api-v1-get"} <= refused
flow_rows = [row for row in store.load() if row.shape is not None and row.shape.get("family", "sink") == "sink"]
assert report.records == len(flow_rows) and len(flow_rows) >= 1 # the flow family still teaches from the train split
def test_absence_row_without_an_obligation_lesson_still_teaches_its_sink_shape(tmp_path: Path) -> None: