feat(consume): the payload says what of the question it reached, and row 4 reads it
`coverage` carries three lists: the terms the pre-pass read the question as, the terms no concept in the bundle answers, and the terms no delivered excerpt answers. Without it a reader holding eight excerpts cannot tell a bundle that ANSWERED its question from one that merely ranked something -- the two payloads have the same shape. FACTS, AND NO VERDICT, which is a measurement and not caution. Two readings were built and both falsified over 81 questions (16 synthetic, 65 across the three real sets, 2026-09-20): the share of question terms a delivered excerpt answers separates the synthetic controls at 0.33 against 0.50 and REVERSES on real data (covered questions down to 0.27, one genuinely uncovered question at 0.71); the share of a bundle tying the best lexical match is ~0.00 for every real question either way. Question style dominates the first, corpus size the second. The one bar this repository declares is the gate's: `UNANSWERED_BAR = 2/3` over `unanswered_in_bundle`, swept and collapsing at both ends -- at 0.50 eleven real covered questions are marked, at 0.70 the row falls to 5 of 6, at 2/3 the row is 6 of 6 and 0 of 65 real questions are marked. The margin is thin (0.6087 against 0.6667) and is published that way, together with what it does not catch: r761-sk2's own known-negative sits at 0.2857. Row 4: 3 of 6 RED -> 6 of 6 GREEN, with the 10 answered synthetic questions held unmarked as the known-negative. The contract's SS 8 gains point 7, the consumption skill is told to read the block, and the SS 7.4 known-positive moves with the document (14 721/375 -> 16 389/417). Suite 2292 passed. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
parent
90394c383d
commit
05cb19087a
SSH key fingerprint:
SHA256:JakMjO6FTBBzN0Bhfj9saOoEjaFxlSdYuZQQpM/lF9Q
8 changed files with 216 additions and 42 deletions
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@ -160,6 +160,11 @@ are permitted; the checker reads only the members this section names.
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"known_positive": { "case": "<name>", "expected": 10406, "measured": 10406 }
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},
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"denominators": { "considered": 439, "withheld": 401, "delivered": 38 },
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"coverage": {
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"question_terms": ["<the terms the pre-pass read the question as>"],
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"unanswered_in_bundle": ["<those no concept in the bundle answers>"],
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"unanswered_in_payload": ["<those no delivered excerpt answers>"]
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},
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"excerpts": [
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{
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"bundle_id": "<id>",
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@ -224,6 +229,27 @@ are permitted; the checker reads only the members this section names.
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the enclosing concept's text inside `parent` — `text`, with that concept's
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own `sha256`, and `truncated` where it was cut to fit — and then only from
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the room its cut left, so that inherited text never displaces an excerpt.
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7. A pre-pass SHOULD carry `coverage`: the terms it read the question as, the
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ones no concept in the bundle answers, and the ones no delivered excerpt
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answers. Without it a reader holding eight excerpts cannot tell a bundle
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that answered its question from one that merely ranked something — the two
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payloads have the same shape — and § 6's states are then unreachable from
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the payload alone.
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**Facts, and no verdict.** The member carries lists and never a score, a
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confidence or a "weak" flag, because the two obvious verdicts were built
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and falsified against 81 questions on 2026-09-20: the share of a question's
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terms a delivered excerpt answers separates a synthetic corpus at 0.33
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against 0.50 and then reverses on real data, where covered questions run
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down to 0.27 while one genuinely uncovered question sits at 0.71; and the
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share of a bundle tying the best lexical match is ~0.00 for every question
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in a large bundle, covered or not. Question style dominates the first and
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corpus size the second, so a pre-pass emitting a verdict would assert
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across corpora what was measured on one. Where a bar belongs is in the
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consumer's own judgement or in a gate that publishes its sweep.
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The checker does not read this member, for the same reason: it holds a
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payload's FORM, and these lists carry no claim a form can be held to.
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## 9. Prohibitions
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@ -199,6 +199,16 @@ at which this strategy stops fitting the budget.>`
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The payload reports three counts — `considered`, `withheld`, `delivered` — and
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`considered == withheld + delivered`. Carry them into your output.
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It also reports **what of the question it reached**. `coverage` carries the
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terms the pre-pass read the question as, the terms no concept in the bundle
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answers, and the terms no delivered excerpt answers. Read it before you answer.
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It carries no score and no verdict — deliberately: two were built and both
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reversed on real corpora, so the judgement is yours. Where the bundle answers
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none of the terms that make the question specific, say so and stop; do not
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compose an answer out of excerpts that were ranked anyway. A cut always returns
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its best candidates, so an ungrounded answer looks exactly like a grounded one
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until somebody checks which of the asked-about words actually arrived.
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Any claim of the form "there is no X", "nothing further was found" or "all N are
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Y" reports the denominator it was measured over and the command that produced
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it. A negative result whose scope is unstated is **unmeasured**, and is reported
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@ -210,7 +210,7 @@ carries its denominator.
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| Limit | `120000` |
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| Unit | `utf-8 bytes of emitted JSON` |
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| Instrument | `okf_consume.measure (len of the ensure_ascii=False JSON encoding, utf-8)` |
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| Known-positive | `docs/consumption-contract.md, encoded as a JSON string` at `14721` |
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| Known-positive | `docs/consumption-contract.md, encoded as a JSON string` at `16389` |
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The instrument reproduces the known-positive figure before any of its own
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numbers are believed. Report what the run actually spent.
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@ -263,6 +263,16 @@ full one is not evidence of presence.** When the delivered excerpts do not
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actually answer the question, say `[sourced-not-sufficient]` and report that
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the cut found nothing responsive.
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It also reports **what of the question it reached**. `coverage` carries the
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terms the pre-pass read the question as, the terms no concept in the bundle
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answers, and the terms no delivered excerpt answers. Read it before you answer.
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It carries no score and no verdict — deliberately: two were built and both
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reversed on real corpora, so the judgement is yours. Where the bundle answers
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none of the terms that make the question specific, say so and stop; do not
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compose an answer out of excerpts that were ranked anyway. A cut always returns
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its best candidates, so an ungrounded answer looks exactly like a grounded one
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until somebody checks which of the asked-about words actually arrived.
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Any claim of the form "there is no X", "nothing further was found" or "all N are
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Y" reports the denominator it was measured over and the command that produced
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it. A negative result whose scope is unstated is **unmeasured**, and is reported
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@ -11,10 +11,10 @@
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"spent": 2289,
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"known_positive": {
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"case": "docs/consumption-contract.md, encoded as a JSON string",
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"expected": 14721,
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"measured": 14721,
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"raw_bytes": 14346,
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"encoding_delta": 375
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"expected": 16389,
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"measured": 16389,
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"raw_bytes": 15972,
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"encoding_delta": 417
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}
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},
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"denominators": {
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@ -23,6 +23,22 @@
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"delivered": 3
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},
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"question": "Hva sier veiledningen om krav?",
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"coverage": {
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"question_terms": [
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"hva",
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"sier",
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"veiledningen",
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"krav"
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],
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"unanswered_in_bundle": [
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"hva",
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"sier"
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],
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"unanswered_in_payload": [
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"hva",
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"sier"
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]
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},
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"excerpts": [
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{
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"bundle_id": "b-golden-segmented-okf-v0-2",
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@ -661,14 +661,14 @@ KNOWN_POSITIVE_CASE = "docs/consumption-contract.md, encoded as a JSON string"
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#: `measure()`'s own answer for that file. Vacuous ALONE -- which is why the
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#: delta below exists.
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KNOWN_POSITIVE_EXPECTED = 14_721
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KNOWN_POSITIVE_EXPECTED = 16_389
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#: The second, independent route. `wc -c` reports 14 346 raw bytes for the same
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#: The second, independent route. `wc -c` reports 15 972 raw bytes for the same
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#: file; the difference is this file's JSON quoting and escaping overhead. A
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#: reader can derive it without running `measure()` at all, and it moves the
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#: moment `measure()` changes what it counts -- which is what stops
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#: `expected == measured` from proving nothing.
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KNOWN_POSITIVE_ENCODING_DELTA = 375
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KNOWN_POSITIVE_ENCODING_DELTA = 417
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#: The two places that file can be, resolved in this order.
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#:
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@ -2091,6 +2091,58 @@ def root_bundle_id_of(bundle_root: Path, *, profile: BundleProfile = DEFAULT_PRO
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return declared
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def excerpt_text(excerpt: Mapping[str, object]) -> str:
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"""The strings a delivered excerpt actually shows its reader.
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Title, id and body, which is the same union the two lexical signals score
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-- a coverage report counting a term the consumer cannot see would be a
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report about the ranker rather than about the payload.
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"""
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return " ".join(str(excerpt.get(key, "")) for key in ("title", "concept_id", "text"))
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def unanswered_terms(
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terms: Sequence[str],
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tokenised: Sequence[Sequence[str]],
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*,
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stems: frozenset[str] | None,
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) -> list[str]:
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"""The question terms none of `tokenised` answers, in the question's order.
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FACTS, NEVER A VERDICT, and that is a measurement rather than caution. Two
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readings were built and both were falsified against 81 questions (16
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synthetic, 65 over the three real sets, 2026-09-20):
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- the SHARE of question terms a delivered excerpt answers separates the
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synthetic controls at 0.33 against 0.50 and then reverses on real data,
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where covered questions run down to 0.27 and one real uncovered question
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sits at 0.71. Question STYLE dominates it: a question carrying its own
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instructions has a long tail of words no corpus answers.
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- the share of the bundle that ties the best lexical match separates the
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synthetic corpus and is ~0.00 for every real question, covered or not,
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because a 4 369-concept bundle has no ties to speak of.
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So this module states what it measured and stops there. A bar over these
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lists is the READER's -- a model weighing "the bundle answers none of
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`koster`, `doegn`, `gjester`" is doing something no constant here can do
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across corpora, and `tools/okf_retrieval_gate.py`'s row 4 carries the one
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bar this repository does declare, with its own measurement beside it.
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The matcher is the ranker's own (`tokens_match`, same `stems`). The cost
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vocabulary's bridge is NOT applied: it is off by default and it is a rule
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about documents naming money in other words, which would make a term read
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as answered by a text that never carries it.
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"""
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remaining = set(terms)
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for tokens in tokenised:
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if not remaining:
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break
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for term in tuple(remaining):
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if any(tokens_match(term, other, stems=stems) for other in tokens):
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remaining.discard(term)
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return [term for term in terms if term in remaining]
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def build_payload(
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bundle_root: Path,
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*,
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@ -2165,28 +2217,17 @@ def build_payload(
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for concept_id in concept_ids
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]
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)
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# The text the two lexical signals read, tokenised ONCE: the stem
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# vocabulary, the rarity `df` and the coverage report below all count over
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# the same strings, so none of them can weigh a token by how rare it is
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# somewhere it is not read.
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texts = searchable_text(concepts, link_in_signal=link_in_signal)
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tokenised = [normalise(text) for text in texts]
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# The bundle's OWN vocabulary, and the reason the rule is a set rather than
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# a threshold: `pris` is a word here and `bila` is not, which is what
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# separates a Norwegian compound from four coincidental characters. One
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# pass, over the same text the ranking reads.
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stems = (
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frozenset(
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token
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for text in searchable_text(concepts, link_in_signal=link_in_signal)
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for token in normalise(text)
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)
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if stem_prefix
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else None
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)
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weights = (
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rarity_weights(
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normalise(question),
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searchable_text(concepts, link_in_signal=link_in_signal),
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stems=stems,
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)
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if rarity_weight
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else None
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)
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# separates a Norwegian compound from four coincidental characters.
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stems = frozenset(token for tokens in tokenised for token in tokens) if stem_prefix else None
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weights = rarity_weights(normalise(question), texts, stems=stems) if rarity_weight else None
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ranked = concept_scores(
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concepts,
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question,
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@ -2238,6 +2279,7 @@ def build_payload(
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# one-sided, and kept because SS 7.3 is a MUST about the emitted
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# payload rather than about the algorithm that produced it.
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raise ConsumeError(f"spent ({spent}) exceeds limit ({limit})", code="budget_exceeded")
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question_terms = list(dict.fromkeys(normalise(question)))
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return {
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"contract": CONTRACT_REVISION,
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"bundle": {
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@ -2275,6 +2317,18 @@ def build_payload(
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"delivered": len(delivered),
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},
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"question": question,
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# SS 8: what of the QUESTION this payload reaches. Facts, and no
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# verdict -- see `unanswered_terms` for the two readings that were
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# measured and felled.
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"coverage": {
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"question_terms": question_terms,
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"unanswered_in_bundle": unanswered_terms(question_terms, tokenised, stems=stems),
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"unanswered_in_payload": unanswered_terms(
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question_terms,
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[normalise(excerpt_text(excerpt)) for excerpt in delivered],
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stems=stems,
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),
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},
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"excerpts": list(delivered),
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# Emitted only under the flag, and then only where the concept carries
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# a title, so a bundle whose concepts have none produces the same bytes
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@ -2661,14 +2661,14 @@ def test_the_payload_names_the_question_terms_the_bundle_answers_to_none_of() ->
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the ones no delivered excerpt answers.
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"""
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payload = okf_consume.build_payload(
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FIXTURE, question="Hva koster et doegn paa hytta for gjester?"
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FIXTURE, question="Hva koster et doegn for gjester i kravet?"
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)
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assert "coverage" in payload, "the payload says nothing about what it covered"
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coverage = payload["coverage"]
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assert isinstance(coverage, dict)
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# The terms are the ranker's own, counted here rather than read back.
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expected = list(
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dict.fromkeys(okf_consume.normalise("Hva koster et doegn paa hytta for gjester?"))
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dict.fromkeys(okf_consume.normalise("Hva koster et doegn for gjester i kravet?"))
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)
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assert coverage["question_terms"] == expected
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assert expected, "a question with no terms would make every assertion below vacuous"
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|
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@ -297,9 +297,18 @@ def test_row_three_is_green_when_the_printed_reason_is_the_true_one(tmp_path: Pa
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# --- row 4 --------------------------------------------------------------------
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def test_row_four_is_red_because_an_uncovered_question_still_gets_excerpts(
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tmp_path: Path,
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def test_row_four_goes_red_again_when_the_payload_stops_saying_what_it_missed(
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tmp_path: Path, monkeypatch: pytest.MonkeyPatch
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) -> None:
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"""The RED direction, driven by an input: the payload's own words.
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This row was 3 of 6 until 2026-09-20 because the payload said nothing
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about what of the question it reached, so N3, N4 and N5 -- 8, 8 and 1
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excerpts -- were indistinguishable from an answered question. A payload
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that reports every term as answered puts the row back there, with the same
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detail line.
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"""
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monkeypatch.setattr(consume, "unanswered_terms", lambda *args, **kwargs: [])
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row = gate.row_four([_case(tmp_path, "set-controls.json")])
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assert row.status == gate.RED
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assert row.m == 6
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@ -639,7 +648,7 @@ def test_the_gate_is_red_today_and_says_which_rows(tmp_path: Path) -> None:
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rows = gate.evaluate(tmp_path / "bundles")
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by_number = {row.number: row for row in rows}
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assert sorted(by_number) == [1, 2, 3, 4, 5, 6, 7, 8, 9]
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assert [row.number for row in rows if row.fails] == [4, 5, 7, 8, 9]
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assert [row.number for row in rows if row.fails] == [5, 7, 8, 9]
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# 10, not 9: `set-quota.json` adds row 3's known-positive, one question the
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# source quota genuinely decides, and it is a hit.
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assert (by_number[1].k, by_number[1].m) == (10, 10)
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|
|
@ -661,7 +670,7 @@ def test_the_command_exits_one_and_prints_every_row(
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printed = capsys.readouterr().out
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for number in range(1, 10):
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assert f"\n{number} " in f"\n{printed}"
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assert "GATE RED: rows 4, 5, 7, 8, 9" in printed
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assert "GATE RED: rows 5, 7, 8, 9" in printed
|
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|
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|
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def test_the_json_form_carries_the_same_rows(capsys: pytest.CaptureFixture[str]) -> None:
|
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|
|
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|
|
@ -1157,21 +1157,68 @@ def row_three(cases: Sequence[Case]) -> Row:
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)
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|
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|
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#: Row 4's bar, and the ONE threshold this gate applies to a payload.
|
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#:
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#: SWEPT over 81 questions on 2026-09-20 -- the 16 of the synthetic sets and
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#: the 65 of the three real sets -- against `coverage.unanswered_in_bundle` as
|
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#: a share of the question's own terms:
|
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#:
|
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#: - at **0.50** row 4 is 6 of 6 and ELEVEN real questions whose fasit is in
|
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#: their bundle come back marked;
|
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#: - at **2/3** row 4 is 6 of 6 and **0 of 65** real questions are marked; the
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#: highest a real covered question reaches is 0.6087 (two of the vegnormal
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#: set's, 14 of 23 terms), and the lowest an uncovered control reaches is
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#: 0.6667 (N3, 4 of 6);
|
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#: - at **0.70** N3 falls under the bar and row 4 is 5 of 6.
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#:
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||||
#: It collapses at both ends, which is what makes 2/3 a reading of the
|
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#: distribution rather than a number picked to pass. The margin is THIN --
|
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#: 0.6087 against 0.6667 -- and it is published that way.
|
||||
#:
|
||||
#: WHAT IT DOES NOT CATCH, measured on the same data: `r761-sk2`'s own
|
||||
#: known-negative, a question naming a section number the document does not
|
||||
#: have, sits at 0.2857 -- every other word of it is in a 2 756-concept road
|
||||
#: standard. One term absent among seven is not a share, and no bar over this
|
||||
#: list reaches it. Row 4's denominator is the synthetic controls, so this
|
||||
#: costs the row nothing and is stated rather than implied.
|
||||
UNANSWERED_BAR = 2 / 3
|
||||
|
||||
|
||||
def marked(payload: Mapping[str, object]) -> bool:
|
||||
"""Can a consumer READ, from the payload alone, that the bundle does not
|
||||
cover the question?
|
||||
|
||||
Today exactly one reading does that: nothing was delivered, and the
|
||||
withheld rules say why. Eight excerpts with no score, no confidence and no
|
||||
statement is not a marked answer -- it is the same payload an answered
|
||||
question gets. When the payload grows a field that says so, this function
|
||||
is where it is read, and the row moves with it.
|
||||
Two readings, and both are facts the payload carries:
|
||||
|
||||
- nothing was delivered, and the withheld rules say why; or
|
||||
- the bundle answers none of at least `UNANSWERED_BAR` of the question's
|
||||
own terms (`coverage.unanswered_in_bundle`, added to the payload
|
||||
2026-09-20 for exactly this reading).
|
||||
|
||||
Eight excerpts with no score, no confidence and no statement is not a
|
||||
marked answer -- it is the same payload an answered question gets, which
|
||||
is what took this row to 3 of 6 on N3, N4 and N5.
|
||||
|
||||
THE BAR IS THIS GATE'S AND NOT THE LIBRARY'S. `consume.unanswered_terms`
|
||||
records the two readings that were built and falsified against real
|
||||
corpora; a library asserting "this bundle does not cover your question"
|
||||
would be asserting across corpora what was measured on one. A gate is
|
||||
where a declared bar belongs, and this one carries its sweep above.
|
||||
"""
|
||||
counts = payload.get("denominators")
|
||||
assert isinstance(counts, dict)
|
||||
delivered = counts["delivered"]
|
||||
assert isinstance(delivered, int)
|
||||
return delivered == 0
|
||||
if delivered == 0:
|
||||
return True
|
||||
coverage = payload.get("coverage")
|
||||
assert isinstance(coverage, dict), "the payload carries no coverage block to read"
|
||||
terms = coverage["question_terms"]
|
||||
unanswered = coverage["unanswered_in_bundle"]
|
||||
assert isinstance(terms, list) and isinstance(unanswered, list)
|
||||
if not terms:
|
||||
return True
|
||||
return len(unanswered) / len(terms) >= UNANSWERED_BAR
|
||||
|
||||
|
||||
def row_four(cases: Sequence[Case]) -> Row:
|
||||
|
|
@ -1195,7 +1242,8 @@ def row_four(cases: Sequence[Case]) -> Row:
|
|||
"covered by the bundle and MARKED anyway"
|
||||
if control.covered
|
||||
else f"not covered and NOT marked -- {counts['delivered']} "
|
||||
"excerpts, no score, no statement"
|
||||
"excerpts, and the bundle answers enough of the question's "
|
||||
"terms that nothing in the payload says so"
|
||||
)
|
||||
)
|
||||
return _row(
|
||||
|
|
@ -1203,7 +1251,8 @@ def row_four(cases: Sequence[Case]) -> Row:
|
|||
"an uncovered question comes back marked, a covered one does not",
|
||||
correct,
|
||||
total,
|
||||
"marked = a reading the consumer can act on (today: nothing delivered)",
|
||||
"marked = a reading the consumer can act on: nothing delivered, or the "
|
||||
f"bundle answers none of >= {UNANSWERED_BAR:.0%} of the question's own terms",
|
||||
details,
|
||||
)
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue