Merge pull request #404 from AssetOverflow/feat/matcher-extension-me5-integration

feat(matcher-extension/ME-5): integration smoke + ME-1..ME-5 milestone
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@ -86,6 +86,7 @@ _TEST_SUITES: dict[str, tuple[str, ...]] = {
"tests/test_me2_case_0019_admits.py",
"tests/test_me3_additive_composition.py",
"tests/test_me4_subtractive_composition.py",
"tests/test_me5_all_categories_integration.py",
),
"algebra": (
"tests/test_versor_closure.py",

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@ -0,0 +1,132 @@
# Matcher Extensions Milestone — ME-1 through ME-5
**Date:** 2026-05-27
**Author:** Shay
**Stack:** PRs #398#400#401#402#403#404
**Status:** All five PRs open and stacked; matcher half of the math
composition compounding loop is operational end-to-end.
---
## What landed
The matcher-extension wave delivers a runtime consumer for every entry
in `SAFE_COMPOSITION_CATEGORIES`. When a recognizer match publishes a
`composition_shape` key in `parsed_anchors` AND the
composition_registry carries an `affirms` entry for that shape,
`inject_from_match` emits a pre-composed `CandidateInitial` whose
value is the arithmetically composed quantity.
| PR | Wave | Scope | New tests |
|---|---|---|---|
| #398 | CW-1 + CW-2 | Consumption infrastructure: compile_frames, compile_compositions, frame_registry, composition_registry, manifest checksum extensions, inject_from_match consult | 38 |
| #400 | ME-1 | Currency-per-unit composition (multiplicative; Maria canary; Option A subject binding) | 21 |
| #401 | ME-2 | Cross-sentence subject binding (case 0019 real; threads prior_subject through match() + math_candidate_graph) | 19 |
| #402 | ME-3 | Additive composition (two-quantity same-unit "and" connective) | 15 |
| #403 | ME-4 | Subtractive composition (initial-then-removal; non-negative remainder discipline) | 17 |
| #404 | ME-5 | Integration smoke across all three SAFE categories + milestone | 4 |
**Total new tests:** 114, all green.
**Packs suite:** 127 passed.
**`core eval gsm8k_math --split public`:** 150/150, `wrong=0`.
---
## Architecture
```
audit refusal
→ core eval math-contemplation (decomposer dispatch)
→ MathCompositionClaimProposal
→ HITL ratify via apply_composition_claim()
→ compositions/{category}.jsonl append
→ pack-compile (CW-2) → compositions.jsonl + manifest.composition_checksum
load_composition_registry()
─── runtime path ─────────────────┼────────────────────────────────
recognizer matches statement
→ matcher extension (ME-1..ME-4) publishes composition_shape +
composed_initial in parsed_anchors
→ inject_from_match per-category injector returns ()
→ _consult_composition_registry sees composition_shape
→ registry: affirms entry for the shape
→ CandidateInitial admitted
→ candidate graph admits the statement
→ previously-refused audit case admits
```
---
## SAFE_COMPOSITION_CATEGORIES — matcher coverage matrix
| Category | Surface pattern | Matcher | Dispatch via spec | Subject binding |
|---|---|---|---|---|
| `multiplicative_composition` | `bound(count) × bound(unit_cost)` | `_match_rate_with_currency` | `anchor_kind=\"currency_per_unit_composition\"` | Option A (ME-1) + Option C (ME-2 via `prior_subject`) |
| `additive_composition` | `bound(qty_a) + bound(qty_b)` | `_match_multiplicative_aggregation` | `anchor_kind=\"additive_quantity_composition\"` | Option A only |
| `subtractive_composition` | `bound(initial) bound(removed)` | `_match_multiplicative_aggregation` | `anchor_kind=\"subtractive_quantity_composition\"` | Option A only |
---
## Invariants preserved across the entire stack
- `wrong == 0` on `core eval gsm8k_math --split public` (150/150)
- Case 0050 hazard pin (parametrized over all three allowlist categories)
- ADR-0166 — no new eval lanes
- ADR-0167 partition — no cognition imports in any new module
- ADR-0169 mutation boundary — registry is a gate, never an
arithmetic primitive; matcher owns the math
- All matcher detection paths byte-identical (regression pins per PR)
- `engine_state/*` never committed
- `SAFE_COMPOSITION_CATEGORIES` enforced at write AND load
- Polarity `falsifies` honored uniformly across all matchers
- Refusal-preferring: pronoun / determiner / cross-unit / unobserved
/ unknown verb / zero count / negative remainder all refuse
---
## Scope boundary — what does NOT fire yet
The wiring is end-to-end correct (verified by ME-5's integration
test that stages a synthetic pack and admits all three canaries).
**Live `train_sample` admission** requires operator-seeded
ratifications:
1. A `RatifiedRecognizer` proposal in the proposal log carrying:
- `shape_category = RATE_WITH_CURRENCY` (or `MULTIPLICATIVE_AGGREGATION`)
- `canonical_pattern.anchor_kind = "currency_per_unit_composition"`
(or `additive_quantity_composition` / `subtractive_quantity_composition`)
- the right `observed_*` sets
2. A composition_registry entry compiled into the canonical pack:
- `surface_pattern = "bound(count) × bound(unit_cost)"`
(or the additive / subtractive shapes)
- `composition_category` in the allowlist
- `polarity = "affirms"`
These are operator decisions, not automated. When seeded, the live
train_sample run admits the 20 audit cases (12 quantity_extraction +
8 multi_quantity_composition) covered by this wave.
---
## Recommended next dispatch
**RAT-1:** Operator-workflow PR / runbook that seeds the necessary
RecognizerSpec proposals + composition_registry entries to fire the
live eval-delta truth test. With RAT-1 merged, `train_sample` moves
from 3/47 → ≥4/46 (with case 0050 still refused, `wrong=0`
preserved). The flywheel produces its first `ratify → admit` event
on the canonical pack.
---
## Memory pointers
- [[milestone-me1-me5-matcher-extensions-complete]] — this milestone
- [[project-ratification-consumption-gap-2026-05-27]] — original finding
- [[feedback-ratify-vs-consume-loop-closure]] — general pattern
- [[milestone-adr-0172-tier1-2026-05-27]] — Tier 1 parent
- [[adr-0167-audit-as-evidence-wave]] — parent corridor
- [[feedback-wrong-zero-hazard-case-0050]] — preserved across the stack

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"""ME-5 — integration smoke test across all three SAFE_COMPOSITION_CATEGORIES.
Exercises the complete matcher registry injector admission chain
for each of the three SAFE categories in one test run. Verifies the
ME-1 through ME-4 stack composes cleanly when all three category
ratifications are present in the same pack.
This is the milestone canary: when this test passes, the math
composition flywheel's matcher half is operational end-to-end across
all admissible categories.
"""
from __future__ import annotations
import json
from pathlib import Path
from typing import Any, Mapping
from evals.refusal_taxonomy.shape_categories import ShapeCategory
from generate.comprehension.composition_registry import (
clear_cache as clear_composition_cache,
)
from generate.math_candidate_parser import CandidateInitial
from generate.recognizer_anchor_inject import inject_from_match
from generate.recognizer_match import (
RecognizerMatch,
_match_multiplicative_aggregation,
_match_rate_with_currency,
)
from language_packs.compile_compositions import compile_compositions
from teaching.math_composition_ratification import SAFE_COMPOSITION_CATEGORIES
def setup_function(_):
clear_composition_cache()
def _stage_pack_all_three(tmp_path: Path) -> Path:
pack = tmp_path / "en_core_math_v1"
comp_dir = pack / "compositions"
comp_dir.mkdir(parents=True)
entries = [
(
"multiplicative_composition.jsonl",
{
"surface_pattern": "bound(count) × bound(unit_cost)",
"composition_category": "multiplicative_composition",
"polarity": "affirms",
"provenance": "test_me5",
"evidence_hashes": [],
},
),
(
"additive_composition.jsonl",
{
"surface_pattern": "bound(qty_a) + bound(qty_b)",
"composition_category": "additive_composition",
"polarity": "affirms",
"provenance": "test_me5",
"evidence_hashes": [],
},
),
(
"subtractive_composition.jsonl",
{
"surface_pattern": "bound(initial) bound(removed)",
"composition_category": "subtractive_composition",
"polarity": "affirms",
"provenance": "test_me5",
"evidence_hashes": [],
},
),
]
for filename, entry in entries:
(comp_dir / filename).write_text(json.dumps(entry) + "\n", encoding="utf-8")
_, sha = compile_compositions(pack)
(pack / "manifest.json").write_text(
json.dumps(
{
"pack_id": "en_core_math_v1",
"checksum": "x",
"composition_checksum": sha,
}
),
encoding="utf-8",
)
return pack
def _patch_pack_root(monkeypatch, pack_path: Path) -> None:
from generate.comprehension import composition_registry as cr
monkeypatch.setattr(cr, "_DEFAULT_PACK_RELPATH", pack_path)
monkeypatch.setattr(cr, "_repo_root", lambda: Path("/"))
def _make_match(anchors, category: ShapeCategory) -> RecognizerMatch:
class _R:
spec_id = "test_me5"
return RecognizerMatch(
recognizer=_R(), # type: ignore[arg-type]
category=category,
outcome="admissible",
graph_intent="rate",
parsed_anchors=anchors,
)
def test_all_three_canaries_admit_through_full_pipeline(monkeypatch, tmp_path):
"""End-to-end: one canary per SAFE category, all admit."""
pack = _stage_pack_all_three(tmp_path)
_patch_pack_root(monkeypatch, pack)
# Multiplicative canary (ME-1)
mult_spec: Mapping[str, Any] = {
"anchor_kind": "currency_per_unit_composition",
"observed_currency_symbols": ["$"],
"observed_per_units": ["each", "apiece"],
}
mult_stmt = "Maria bought 3 vet appointments at $400 each."
mult_result = _match_rate_with_currency(mult_stmt, mult_spec)
assert mult_result is not None
mult_match = _make_match(mult_result[0], ShapeCategory.RATE_WITH_CURRENCY)
mult_emit = inject_from_match(mult_match, mult_stmt)
assert len(mult_emit) == 1
assert isinstance(mult_emit[0], CandidateInitial)
assert mult_emit[0].initial.entity == "Maria"
assert mult_emit[0].initial.quantity.value == 1200
assert mult_emit[0].initial.quantity.unit == "dollars"
# Additive canary (ME-3)
add_spec: Mapping[str, Any] = {
"anchor_kind": "additive_quantity_composition",
"observed_units": ["dollars"],
}
add_stmt = "Sam earned 100 dollars and 50 dollars."
add_result = _match_multiplicative_aggregation(add_stmt, add_spec)
assert add_result is not None
add_match = _make_match(add_result[0], ShapeCategory.MULTIPLICATIVE_AGGREGATION)
add_emit = inject_from_match(add_match, add_stmt)
assert len(add_emit) == 1
assert add_emit[0].initial.entity == "Sam"
assert add_emit[0].initial.quantity.value == 150
assert add_emit[0].initial.quantity.unit == "dollars"
# Subtractive canary (ME-4)
sub_spec: Mapping[str, Any] = {
"anchor_kind": "subtractive_quantity_composition",
"observed_units": ["apples", "apple"],
}
sub_stmt = "Tom had 10 apples and lost 4 apples."
sub_result = _match_multiplicative_aggregation(sub_stmt, sub_spec)
assert sub_result is not None
sub_match = _make_match(sub_result[0], ShapeCategory.MULTIPLICATIVE_AGGREGATION)
sub_emit = inject_from_match(sub_match, sub_stmt)
assert len(sub_emit) == 1
assert sub_emit[0].initial.entity == "Tom"
assert sub_emit[0].initial.quantity.value == 6
assert sub_emit[0].initial.quantity.unit == "apples"
def test_partial_pack_only_admits_present_categories(monkeypatch, tmp_path):
"""If only multiplicative is ratified, additive + subtractive refuse."""
pack = tmp_path / "en_core_math_v1"
comp_dir = pack / "compositions"
comp_dir.mkdir(parents=True)
(comp_dir / "multiplicative_composition.jsonl").write_text(
json.dumps(
{
"surface_pattern": "bound(count) × bound(unit_cost)",
"composition_category": "multiplicative_composition",
"polarity": "affirms",
"provenance": "test_me5_partial",
"evidence_hashes": [],
}
)
+ "\n",
encoding="utf-8",
)
_, sha = compile_compositions(pack)
(pack / "manifest.json").write_text(
json.dumps(
{
"pack_id": "en_core_math_v1",
"checksum": "x",
"composition_checksum": sha,
}
),
encoding="utf-8",
)
_patch_pack_root(monkeypatch, pack)
# Multiplicative admits...
mult_result = _match_rate_with_currency(
"Maria bought 3 vet appointments at $400 each.",
{
"anchor_kind": "currency_per_unit_composition",
"observed_currency_symbols": ["$"],
"observed_per_units": ["each"],
},
)
assert mult_result is not None
mult_match = _make_match(mult_result[0], ShapeCategory.RATE_WITH_CURRENCY)
mult_emit = inject_from_match(mult_match, "Maria bought 3 vet appointments at $400 each.")
assert len(mult_emit) == 1
# ...but additive refuses because no additive entry in this pack.
add_result = _match_multiplicative_aggregation(
"Sam earned 100 dollars and 50 dollars.",
{
"anchor_kind": "additive_quantity_composition",
"observed_units": ["dollars"],
},
)
assert add_result is not None
add_match = _make_match(add_result[0], ShapeCategory.MULTIPLICATIVE_AGGREGATION)
add_emit = inject_from_match(add_match, "Sam earned 100 dollars and 50 dollars.")
assert add_emit == () # refusal-preferring
def test_all_safe_categories_have_extension_admission():
"""Every entry in SAFE_COMPOSITION_CATEGORIES has a corresponding
matcher extension path. This pin breaks if a future ADR widens the
allowlist without also shipping a matcher extension operator must
decide consciously."""
expected = {
"multiplicative_composition",
"additive_composition",
"subtractive_composition",
}
assert SAFE_COMPOSITION_CATEGORIES == frozenset(expected), (
"ME-5 covers exactly these three categories — widening "
"SAFE_COMPOSITION_CATEGORIES requires adding a matcher extension "
"and updating this pin."
)
def test_falsifies_uniformly_suppresses_across_categories(monkeypatch, tmp_path):
"""polarity='falsifies' suppresses for any category."""
pack = tmp_path / "en_core_math_v1"
comp_dir = pack / "compositions"
comp_dir.mkdir(parents=True)
for filename, category, shape in [
(
"multiplicative_composition.jsonl",
"multiplicative_composition",
"bound(count) × bound(unit_cost)",
),
(
"additive_composition.jsonl",
"additive_composition",
"bound(qty_a) + bound(qty_b)",
),
(
"subtractive_composition.jsonl",
"subtractive_composition",
"bound(initial) bound(removed)",
),
]:
(comp_dir / filename).write_text(
json.dumps(
{
"surface_pattern": shape,
"composition_category": category,
"polarity": "falsifies",
"provenance": "test_me5_falsifies",
"evidence_hashes": [],
}
)
+ "\n",
encoding="utf-8",
)
_, sha = compile_compositions(pack)
(pack / "manifest.json").write_text(
json.dumps(
{"pack_id": "en_core_math_v1", "checksum": "x", "composition_checksum": sha}
),
encoding="utf-8",
)
_patch_pack_root(monkeypatch, pack)
# All three matchers extract anchors but inject_from_match suppresses.
mult = _match_rate_with_currency(
"Maria bought 3 vet appointments at $400 each.",
{
"anchor_kind": "currency_per_unit_composition",
"observed_currency_symbols": ["$"],
"observed_per_units": ["each"],
},
)
assert mult is not None
assert (
inject_from_match(
_make_match(mult[0], ShapeCategory.RATE_WITH_CURRENCY),
"Maria bought 3 vet appointments at $400 each.",
)
== ()
)
add = _match_multiplicative_aggregation(
"Sam earned 100 dollars and 50 dollars.",
{"anchor_kind": "additive_quantity_composition", "observed_units": ["dollars"]},
)
assert add is not None
assert (
inject_from_match(
_make_match(add[0], ShapeCategory.MULTIPLICATIVE_AGGREGATION),
"Sam earned 100 dollars and 50 dollars.",
)
== ()
)
sub = _match_multiplicative_aggregation(
"Tom had 10 apples and lost 4 apples.",
{
"anchor_kind": "subtractive_quantity_composition",
"observed_units": ["apples"],
},
)
assert sub is not None
assert (
inject_from_match(
_make_match(sub[0], ShapeCategory.MULTIPLICATIVE_AGGREGATION),
"Tom had 10 apples and lost 4 apples.",
)
== ()
)