be8e16aca916a86700985edb8c5633ed0799b0a8
16 Commits
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 builtbykev
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be8e16aca9 |
Detection becomes repair: the curve is fitted on one forecaster, frozen, and named
The last release detected the violation and then served the certified state anyway. A validator that changes nothing is decoration, so `servable:false` is now load-bearing: an artifact that fails its policy returns ARTIFACT_POLICY_BLOCKED with no number, and every probability-derived claim goes with it. The gate sits inside the resolution, not beside the flag that turns the shadow on, so no environment variable can reach past it — a test asserts `resolve` never reads process.env at all. Shadow and live consume the SAME decision, differing only in which promotion stage they demand. Era mismatch still resolves to VERSION_MISMATCH rather than the new state. "This artifact belongs to a different forecaster" is more precise than "policy blocked", and the existing state already says it exactly. THE REPAIR. `currentEraSource` filters on model_version in the QUERY, taking the era from config/modelVersion so the query, the artifact and the validator all read one identity. Measured on the actual fitted set, not a second count: 6,069 current-era rows, 0 wrong-era. The procedure was then certified on current-era rows ONLY — four walk-forward folds, training strictly before each evaluation block, 0 future rows in train on every fold. All four improve; pooled n=3,108 gives Brier 0.24701 -> 0.24323, delta -0.00378, CI [-0.00619,-0.00147] excluding zero; ECE falls in every fold. Mapping spread inside support is 0.001-0.018. The prior mixed-era certification did not substitute for this. Policy B selected. A (era-filtered 65/35) and B (all current-era) are statistically indistinguishable, A-B = +0.0001 CI [-0.00029,+0.00048], but B has the better ECE (0.0064 vs 0.0109) and the holdout existed to certify the PROCEDURE — it is not permanently withheld from the artifact that ships. withheld_from_fit is 0. FROZEN. `mlb-hits-isotonic@2026-09-03`: 6,069 rows, training_cutoff 2026-09-01 (distinct from fit_as_of 2026-09-03 — the newest observation admitted is not the eligibility bound), 12 knots, source_digest 25919c16…, knot_digest 5ae940ea…, served_curve_digest c24a9dc5…, 8 curve steps, 924 bytes, committed as JSON. The runtime no longer fits. It loads. A test greps the service for fitIsotonic, fromLedger and loadRows and requires all three absent, because the old behaviour meant a user's number could move with no version, no review and no rollback, and a past Read could not be reconstructed because its curve no longer existed. New settled outcomes are forward evidence now; they cannot touch this curve. Independent reconstruction from the declared training contract alone — fresh read, fresh digest, fresh fit — reproduces every digest and the curve byte for byte. Calling the builder twice would only have proven the builder deterministic. Promotion is a frozen source constant. A snapshot cannot promote, a settlement cannot promote, a successful fit cannot promote, and dropping a file into the artifacts directory promotes nothing. Stage is APPROVED_FOR_SHADOW; live is explicitly false. Two coverage holes found by their own teeth. The promotion guard could be deleted with every test still green, because the promoted file naturally agrees with itself — extracted as `acceptFile` and tested on the case `load()` cannot reach. And `validate(null)` returned no `servable` field at all, which is falsy at a call site and so would have read as correct while asserting nothing. Shadow OFF. Live OFF. CALIBRATION_DEPLOYED []. No frontend change. Suite 404/404, 5,634 passed, 4 skipped. Teeth 26/26 + 10/10 + 23/23. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CQJeAG8vcDoL5zkiaJyVb8 |
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builtbykev
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22cf51c4b0 |
The mapping that ran now has a name, and the row carries it
Runtime probes say the fleet is on
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builtbykev
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a8de676756 |
A probability is served because evidence supports it, not because nothing else answered
The band gate was blocked for its `else` branch. It read:
candidate = F(raw)
served = inCertifiedBand(candidate) ? candidate : RAW
and above raw 0.60 the model is measured overconfident — holdout raw 0.80-0.90
predicts 0.843 and realizes 0.639. So "the calibrator is not supported here" was
being answered with a number already proven wrong. Unsupported calibration does
not make raw true.
Four candidates were adjudicated on ONE split — fit on the earliest 60% of
train, decide support on the last 40%, evaluate on a holdout that saw neither:
A low-param 80.2% coverage 0.24374 REFUTED — its extra region
(raw 0.80-0.90) certified on cert (err +0.040, n=55) and
refuted on holdout (served 0.754 vs observed 0.639), and it
leaves a hole at 0.70-0.80 while serving the island above it
B isotonic 91.3% coverage 0.24337 CERTIFIED, contiguous raw [0.50,0.80)
C empirical band 91.3% coverage 0.24335 REFUTED — refitted point-in-time on
current-model hits the realized rates INVERT in grade order
(B+ 0.593 < B 0.614 < C+ 0.623), so the served function steps
down at raw 0.78. Its shipped constants come from 3,417 props
pooled across four batter stats and do not reproduce here
D raw identity 43.1% coverage 0.24866 certifies raw 0.50-0.60 and only there
Raw is candidate D, not a fallback. It earns exactly one region (holdout error
+0.010 on n=1,316), which is why the law is "raw must earn its region" rather
than "raw is never true". B already covers that region, so no hybrid is built.
Above raw 0.80 nothing is certified and nothing is served. That is the region
where raw is most wrong, isotonic over-corrects (cert err -0.093) and its LODO
mapping at 0.95 has spread 0.180. 8.7% of holdout rows land there.
The registry did not need changing. `serves(stat, p)` already tested certified
bands against the RAW p_win — support in the input domain, the correct question —
and returned {serve:false, reason}. It never said "serve raw". The output-space
gate and the raw fallback were both invented downstream in calibrationService.
ACTIVATION IS OFF. PROBABILITY_CONTRACT_SHADOW defaults to 0, CALIBRATION_DEPLOYED
stays frozen empty, and every served field is byte-identical. This releases the
support first, which is the required order. The shadow records raw belief, the
candidate served value, the state, the estimator identity, and what EV/Kelly/VALUE
would be under the actionability law — into its own column, read by nothing.
Migration 051 was applied to production BEFORE retentionService named the column.
PostgREST builds a bulk insert from the first row's shape, so a key whose column
does not exist 400s the whole batch silently — that is how migration 038 took
retention down for three days.
The user-facing contradiction is NOT fixed here. A B+ still says "realized about
66%" beside a confidence of 84. Fixing that is activation, and activation costs
32% of VALUE flags and 46% of Kelly recommendations on the holdout.
Suite 401/401, 5,580 passed, 4 skipped, deterministic across three runs.
Teeth 23/23, each independently injected and restored byte-identically.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CQJeAG8vcDoL5zkiaJyVb8
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builtbykev
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4aca33deb6 |
One human, one semantic identity — MLB participant convergence
The collision autopsy left two unrepaired defects, running in OPPOSITE
directions, and `outbound_collision_count` can only ever see one of them.
UNDER-COLLAPSE. Dedupe keys on `mlb:<personId>` when the participant is
proven and on the RAW PROVIDER SPELLING when it is not. Mickey Gasper
(681508) is on Boston's 40-man and not on its active roster, so an
active-only index could not identify him and every book's spelling of him
survived dedupe as its own proposition — retention was the first layer to
notice, far too late, and could only discard the loser.
SPLIT. The mirror image, and invisible to the collision metric because it
makes MORE identities, not fewer: Leo Jiménez (677870) is published as both
"Leo Jiménez" and "Leonardo Jimenez", so one human became two semantic
players in one game. Measured across the 15 MLB cohort slices since the
canonical-participant repair, this is a recurring class, not one case:
cam/cameron smith (5 slices), mitch/mitchell bratt, zac/zachary thornton,
leo/leonardo jimenez.
THE REPAIR READS MLB'S OWN RECORD. `hydrate=person` on the roster call the
pipeline already makes returns firstName / useName / useLastName, so the
legitimate name forms for a human come from the league rather than from an
alias table. An alias table is a list of the mistakes we happened to notice.
`nickName` is DELIBERATELY EXCLUDED: over 821 people it produced 14
ambiguous keys, because MLB's nickname field carries bare surnames and
shared clubhouse names — `nameKey('Smitty Smith')` is one string for both
Burch Smith and Will Smith. The four forms kept produce ZERO ambiguity.
Canonical participant reach widens to the 40-man; TEAM EVIDENCE still reads
the ACTIVE roster alone, so event admission and the impossible-binding
refusal are unchanged. Identity still fails closed: a name matching more
than one person in the event resolves to nobody.
CONTINUITY, MEASURED BEFORE WRITING ANY CODE. Over the real 19:00 cohort,
208 of 209 player_keys are unchanged and the one that moves is the defect —
`leonardo jimenez` converging onto `leo jimenez`, a key that already exists.
No new lineage family. The natural key contains game_date, so chains never
span dates and a forward change cannot fork a closed one.
DETERMINISTIC REPRESENTATIVE. Which book's payload survives was decided by
position. It is now decided by the existing MODEL_BOOKS declaration order —
reused, not authored; inventing a sportsbook ranking to settle a tiebreak
would be a market judgement smuggled in as a bug fix — with book name and a
content tiebreak. Stable under every input permutation.
TWO GUARDS, BOTH DIRECTIONS. split (one person, many identities) and merge
(one identity, many people). A merge is refused at the same single admission
seam event identity already uses; a split is counted and alerted but does not
cut the board, because it duplicates an identity rather than asserting a
falsehood.
RETENTION REMAINS AN INDEPENDENT CHECK. The old assertion grepped the source
for `player_key: nameKey(player)`. That expression stood in for a PROPERTY,
and a grep verifies a spelling. Replaced with the property itself, asserted
in both modes: when the producer emits two rows for one human, retention
still files them under one identity and still reports the collision.
Replay of the real cohort through the repair: 3,129 offerings, 100%
participants resolved, every one of 207 participants on exactly ONE semantic
key, collision 0, split 0, merge 0.
Suite 396/5,455/0 · tsc 0 · 15/15 teeth. Tooth 12 came back green first
time and that was a coverage hole, not a safe defect: nothing asserted
retention's append-only upsert. It does now.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CQJeAG8vcDoL5zkiaJyVb8
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builtbykev
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7efb04e280 |
Lineage family lookup: bound it to a slate, and say what an action is
TWO DEFECTS, one lookup. SCALE. The family lookup sent 100 natural keys as a PostgREST IN-list. `read_natural_key` has NO pg_stats row at all -- the table's last autoanalyze (2026-08-26) predates the column ever being populated -- so the planner used a default per-value selectivity, estimated 172,409 rows and chose a sequential scan of 344,818: 8.5s, then 57014. At 50 keys the same shape returned in ~357ms. The cliff is a statistics artifact, not a volume one, which is why the repair does not depend on the estimate improving and is not CH=50. `readNaturalKey` builds `sport|game_date|player_key|stat|side|line[|#event]`, so SPORT AND GAME_DATE ARE COMPONENTS OF THE KEY. Two rows sharing a key necessarily share both, and scoping the lookup to the (sport, game_date) pairs present in the requested keys is LOSSLESS BY CONSTRUCTION. One index-backed range per date, walked with safePaginate; cost is bounded by ONE SLATE however long the chronology gets. Measured: 5,000 keys -> 1 scope, and the plan is `Index Scan using model_snapshots_lineage_family_idx, cost 0.28..1.92`. VALIDITY. A row carrying `read_natural_key` is not history: the key is stamped on every candidate BEFORE the lookup, so a failure leaves it on a row that never became an action. Proven this was not cosmetic -- fed the raw rows the old lookup returned, the resolver produced a REVISION with a NULL read_id (an orphaned chain node) and labelled a brand-new Read LEGACY_UNVERIFIED. `isValidLineageAction` states what a completed action IS: all nine fields, in the query and again in code. ATOMICITY. A failed attempt now leaves NO lineage-specific state. `publication_id`/`published_at` are untouched -- the slate really was published, and erasing a true fact to tidy a false one is the wrong repair. Replayed the exact failed 19:00Z cohort through the real resolver, side-effect free: 119 NEW / 379 CHANGED / 621 UNCHANGED -> ORIGIN 119 / REVISION 379 / RECAPTURE 621, 0 wrong parent, 0 wrong ordinal, 0 null read_id, 0 forks -- byte-identical with all 1,119 failed partial rows present. Clean-head parity 1,024/1,024. Migration 050 is CONCURRENTLY + IF NOT EXISTS, drops nothing, rewrites nothing. Lineage stays OFF. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CQJeAG8vcDoL5zkiaJyVb8 |
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builtbykev
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048e4eaa3f |
Event-aware retention identity: two games, two receipts
One player prop in Game 1 and the same-looking prop in Game 2 are two different
historical claims. The retention conflict identity did not know that.
SEMANTIC IDENTITY FIRST. Two outbound rows are the same retention proposition
within one cycle when they share the cycle, the EVENT, the participant, the
stat, the line and the side. Book is deliberately absent — collapsing books is
dedupeProps's actual job and the price anchor is chosen later. The database
index is enforcement of that answer, never the definition of it.
THE EVENT COMPONENT NEVER FABRICATES. canonical_event_id where a sport has a
resolver — MLB's admission gate rejects unresolved/ambiguous/contradicted props
BEFORE grading, so every row that can reach retention has one — and game_id
otherwise, which is NOT NULL in the schema and is the only event label sports
without a resolver possess. Both are in the identity, so the weaker label still
discriminates where the stronger is absent.
NULLS NOT DISTINCT IS LOAD-BEARING, NOT STYLISTIC. canonical_event_id is NULL
for every non-MLB row. Measured on a disposable PG17: under PostgreSQL's default
semantics the same NBA proposition inserted twice produced TWO rows — every
retry duplicating for ever. With NULLS NOT DISTINCT the same test yields one.
That measurement is what rejected the plain composite option.
MIXED-FLEET BRIDGE. A rollout serves both builds at once (measured 11/12 new,
1 old). Old and new writers need different indexes and NO schema state satisfies
both: with the legacy index present a new writer fails 23505 on a doubleheader;
with it gone an old writer fails 42P10. A bare ON CONFLICT DO NOTHING would have
bridged this, and PostgREST does not emit one — `ignoreDuplicates` WITHOUT
`onConflict` was measured raising a real duplicate-key error, so that bridge does
not exist through this client.
So the writer bridges it. It targets the event-aware identity and, on exactly
the two errors meaning "the schema is not in the state I expect" (42P10, or
23505 NAMING the legacy index), retries the SAME chunk on the legacy target. A
failed chunk rolls back atomically — measured 0 rows — so the retry cannot
double-write. Correct in every schema state: legacy-only and both-present
degrade to legacy semantics with no outage; new-only keeps both games.
The bridge is deliberately narrow. A supersedes conflict is ALSO a 23505, and
swallowing it would destroy the forked-history guard, so the legacy index must
be named. All three model_snapshots writers (persist, commitPublication,
recoverFromFork) go through it; no hardcoded legacy target survives.
MEASURED, through the real supabase-js -> PostgREST -> Postgres path on
production-shaped PG17:
* 1,000 REAL propositions from the verified 2026-08-17 STL@CIN doubleheader
(1,738 retained rows under ONE game_id), replayed across both real gamePks:
OLD index materialized 1,000 of 2,000 — 1,000 LOST. NEW index materialized
2,000 of 2,000 — 0 lost.
* retry idempotency, over/under, line, stat, player, non-MLB same-game and
non-MLB different-game all behave correctly under the new index.
* ORDINARY-SLATE PARITY over ALL 434 real cohorts / 328,262 retained rows:
old identities 328,262, new identities 328,262, delta 0, cohorts changed 0.
The index is therefore guaranteed creatable and nothing historical splits.
CONFLICT_IDENTITY is now DERIVED from RETENTION_CONFLICT rather than restated —
a test caught them silently disagreeing, which is exactly how the materialization
check could have expected an identity the database no longer enforced.
EXPAND/CONTRACT are separate files on purpose. 048 is additive and retires
nothing; 049 drops the legacy index and must not be applied until fleet
convergence is proven by sampling, never assumed from a fast rollout.
NO BACKFILL. Legacy rows keep NULL canonical_event_id and remain LEGACY
EVENT-AGNOSTIC RETENTION, which is what that NULL truthfully says.
The materialization defence is untouched and now reports the bridge honestly:
while the legacy index still collapses a doubleheader, expected 4 vs actual 2
yields MATERIALIZATION_MISSING and the cohort is refused.
Nine teeth, injections verified present, against a green baseline of 97:
1 event distinction removed (10) · 2 phases collapsed (2) · 3 bridge swallows
everything (6) · 4 NULLS NOT DISTINCT removed (1) · 5 old-container error as
success (3) · 6 semantic/DB identity disagree (8) · 7 collision detector removed
(2) · 8 partial transport usable (3) · 9 collision unannounced (1).
Restored byte-identically.
Model and product untouched: gradeSlateService (event-aware dedupe), event
identity, ledger, calibration, chain, lineage config and the status route all
UNCHANGED. Zero cacheSet changes, zero web paths, schema contract unchanged (no
new columns). Lineage stays OFF.
385 suites / 5,178 tests pass. web tsc exit 0.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CQJeAG8vcDoL5zkiaJyVb8
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builtbykev
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11277a1b99 |
Materialization truth: a completed write is not a complete cohort
Transport truth says every intended write succeeded. Materialization truth says
every identity that should exist actually exists. The retention writer could
only report the first, and the gap is not theoretical.
THE CONFLICT IDENTITY, traced to the real index:
model_snapshots_cycle_prop_uniq UNIQUE (snapshot_id, player_key, stat, line, side)
written by `upsert(..., { onConflict: same five columns, ignoreDuplicates: true })`.
Measured in production: no key column is ever NULL (0 of 328,262 rows), so
NULLS DISTINCT never applies and the identity is plain column equality. `line`
is an unconstrained numeric, so identity normalises it — 0.5 in and "0.50" out
must not read as two identities for one stored row.
PRIOR-CYCLE COLLISION IS IMPOSSIBLE. `snapshot_id` is in the identity and is a
fresh UUID per cycle, so no row can be suppressed by an earlier cycle.
Append-only chronology across cycles is safe, and `captured_at` is not in the
identity, so a cohort cannot be split by timing.
INTRA-CYCLE COLLISION IS REAL, AND WE CAUSED IT. `canonical_event_id` is NOT in
the identity. A doubleheader — same hitter, same stat, same line, two genuinely
different games — is ONE identity. Demonstrated through the real collector: 4
outbound rows, 2 distinct identities, 2 rows discarded by ignoreDuplicates with
no error, `written` counting all 4 and the terminal status reading COMPLETE.
Before event-aware dedupe the second game was dropped before grading, so the
collision could not arise; that fix moved the loss downstream into retention.
The conflict identity is NOT changed here — that is a separate decision with its
own before/after. This makes the loss visible instead of silent.
EXPECTED vs ACTUAL. `expectedMaterialization(rows)` derives the identity set
from the FINAL outbound payload using the exact database identity — never from
`attempted`, which counts rows sent, not identities that can exist.
`reconcileMaterialization` compares SETS, not counts: two sets of equal size can
still differ, and a cohort that swapped one identity for another passes every
count test ever written. A collision passes set equality by construction (the
discarded row was never in the expected set) while real rows were lost, so
collision_count > 0 fails the cohort on its own.
A cohort is evidence-complete only when transport is COMPLETE, missing = 0,
extra = 0, and collisions = 0.
OBSERVABILITY stayed minimal. `last_retention` was already PER SPORT (a Map
keyed by sport), so no fix was needed there and the route is UNCHANGED — the new
fields ride the existing entry: outbound_rows, expected_materialized_count,
outbound_collision_count, expected_identity_digest. Counts and a digest only,
never the identities, which carry player names. The expected set is the one
materialization fact unrecoverable from the database afterwards, which is why it
is the only thing recorded at runtime.
A collision leaves transport COMPLETE, so the existing failure alert could never
see it. It now has its own high-severity alert naming the counts, the cycle and
the build, and says the cohort is not evidence-complete.
Seven teeth, each injection verified present, against a GREEN baseline of 63:
1 attempted===written as evidence completeness -> 1 fail
2 COUNT(*) equality instead of set equality -> 1 fail
3 snapshot_id dropped from expected identity -> 4 fail
4 unexpected collision allowed to qualify -> 1 fail
5 single global last_retention slot -> 2 fail
6 partial chunk failure treated as usable -> 3 fail
7 collision loses its announcement -> 1 fail
Restored byte-identically (retention 742f116473d97f49, snapshot 81129facbabeb280).
Three brittle assertions repaired, with the reason recorded: two windowed on a
byte count that a neighbouring block outgrew — a test failing because of its
neighbour, not its subject — now windowed to syntactic landmarks; and one
counted TERMINAL.COMPLETE occurrences, which a legitimate comparison
incremented. It now asserts one DECISION and one READ.
persist() and createCollector are BYTE-IDENTICAL. onConflict and
ignoreDuplicates appear in the diff only as prose. Model, event, ledger,
calibration, chain, lineage config, and the status route: UNCHANGED. Zero
lineage/publication files, zero cacheSet changes, zero web paths. Lineage OFF.
Schema contract unchanged: release 64, prod 67, prod-only 3 (debt, not
authorized), missing in prod 0.
384 suites / 5,144 tests pass. web tsc exit 0.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CQJeAG8vcDoL5zkiaJyVb8
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builtbykev
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9809626c99 |
Retention completion: a cohort is complete only when the writer says N of N
The previous bug made the recorder write nothing. The dangerous successor is a
recorder that writes half and looks healthy: persist() writes in chunks of 250
and STOPS AT THE FIRST FAILED CHUNK, so chunks committed before the failure are
already durable. Rows exist under the snapshot_id, captured_at is uniform, Redis
kept working — and the cohort is short.
So row presence was never completion evidence, and neither was a matching
timestamp. Completeness is now proven by the writer or not at all.
TERMINAL RETENTION STATES (retentionService.classifyPersist):
NOTHING_TO_PERSIST attempted 0 — a refusal-only slate is still a cycle
SKIPPED_NO_DATABASE no database configured; not a failure
COMPLETE attempted > 0, written === attempted, no error
FAILED_ZERO_WRITE written === 0 — first chunk failed
FAILED_PARTIAL 0 < written < attempted — a later chunk failed
FAILED_UNRESOLVED_ERROR counts look complete but an error is unresolved;
unreachable through today's loop, and kept because
the alternative is reporting COMPLETE holding an error
The invariant: any written < attempted with attempted > 0 is a FAILED cycle. A
partial cohort is never degraded success.
classifyPersist reads the EXACT persist() result and refuses anything else — it
never recomputes attempted or written, because a second calculation could
disagree with the writer and then the status would describe a cycle that did not
happen. persist() itself is byte-identical to
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builtbykev
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35da190f2c |
Retention hotfix: drop published_side, derive the schema contract, break the silence
`createCollector.onPublished` set `published_side` beside `published`.
`published_side` is not a model_snapshots column. supabase-js declares the
UNION of row keys in the `columns=` parameter, so one invalid key made
PostgREST reject the ENTIRE batch with a 400 — every sport, every cycle.
Retention is best-effort, so nothing surfaced. Confirmed in edge logs.
The field was redundant as well as invalid: `side` is already on the row.
Deleted rather than added to the schema — a column would preserve an
accidental artifact.
Three things missed it, and each is now closed:
1. WRONG SHAPE INSPECTED. The manual check sampled the collector after
onGraded only and never called onPublished, so the offending key was
not yet on the row. It read a pre-publication shape and reported the
final outbound shape as clean. The new test captures the array actually
handed to .upsert(), after the full production call order.
2. NO CONTRACT. Every retention test injects a permissive fake client that
accepts any column set, so 381 suites proved the logic and never once
compared a row against the database. The contract is now DERIVED — the
migration chain applied to a disposable postgres, read out of
information_schema (scripts/generate-schema-contract.js). A
hand-maintained list would be a second opinion about the schema, and a
second opinion is what let this through. scripts/verify-schema-contract.js
checks the contract still describes a live database.
3. SILENT FAILURE. A failed batch reached one console.log. It now emits a
high-severity structured event carrying sport, snapshot id, stage,
error, code_sha and timestamp. Best-effort semantics are unchanged —
the product continues and says so — but the failure is observable.
`skipped` (no database configured) is not a failure and does not alert.
Teeth, each with the injection verified present before the run:
- published_side back into the final payload -> 4 tests fail; restored
byte-identically (sha 6a0ced7c52134135 both sides)
- settled_at (a REAL contract column) -> accepted, so the guard
discriminates by contract membership, not by novelty
- alert block deleted -> 3 tests fail; restored byte-identically
Model and product behaviour untouched: analyzeViaEngine1,
probabilityEstimator, gradeSlateService, lineageCanaryConfig all unchanged.
Lineage stays OFF. Net source change is one behavioural line plus the alert.
382 suites / 5,094 tests pass. web tsc exit 0 (zero web paths touched).
Measurement blackout recorded, NOT backfilled: last good retention write
2026-08-27T19:08:32Z;
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builtbykev
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352016790a |
MLB canonical event identity, impossible-binding refusal, event-aware dedupe, publication commit
Release-isolated slice built from
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builtbykev
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6c34af3414 |
checkpoint: chain shadow, WNBA possession feed, baseball chain
Backup commit of uncommitted working-tree state found during Legion recon (Tony resurrection, STEP 0). This work existed only on the laptop disk. - chain shadow accrual + probe script (038_chain_shadow.sql) - WNBA possession feed: ESPN adapter, usage service, verify script (039_wnba_player_game.sql) - baseball chain - retention/snapshot service updates, tableKeys, matchupKeys - specs: chain-v1, wnba-possession-feed, wnba-source-survey - unit tests for the above Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01QnvJAkC3h5QGmb6dipoiWn |
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builtbykev
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f61ec6b391 |
Read integrity, as-of context, and the shadow matchup resolve (A1-A7)
Seven orders of measurement-first repair. The served grade does not move. A0/A1 — the unordered page walk returned the right COUNT and the wrong ROWS: 410-617 of 2,490 duplicated with an equal number never returned, while rows.length matched the server exactly. safePaginate orders on a real unique key, verifies the tuple at runtime, and THROWS on a query error instead of treating it as end-of-data. Both hits PROVES are withdrawn: they were drawn through that reader, and defense_by_direction's distinct-n was likely below the gate floor all along. A2/A2b — rolled across every reader: 11 FAIL -> 0. Composite keys pulled from pg_index (the context tables are dated-composite and had no single unique column). The unordered helper is deleted, not parked. A3 — ledgerService and retentionService defaulted the SAME env var to DIFFERENT versions, so no ledger row ever carried the marker eligibility requires. One source now. model_snapshots settlement moved onto the cron: 15,484 -> 28,894 settled, repaired-champion 0 -> 7,556. A4 — hitsFactorContext takes an as-of cutoff. Refusal over reconstruction: no row at-or-before the date means the factor does not apply, never the nearest row. Live path unchanged, proven 400/400 on real rows. A5 — factor_inputs freezes what the factor READ, never the multiplier, so an audit can recompute and check. It also recorded the finding: the three hits factors have NEVER fired. prop.opponent and prop.opposing_pitcher are read by the resolver and written by nothing. A6/A7 — matchupKeys resolves those keys from the posted lineup plus the schedule's probable pitchers, and fires the factors into a SHADOW freeze: 248 fires on 308 props, 245 of which would move the grade. The served forecast is untouched. specs/a8-shadow-factor-gate.md pre-registers the test that decides whether they ever go live. Nothing is turned on. CALIBRATION_DEPLOYED stays []. Both verdicts stay withdrawn. 4,772 tests / 371 suites green, web build exit 0, read-integrity harness 34/34. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> |
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builtbykev
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494c83cf76 |
Hunt the window-bug class: three more paths, and the forward re-audit rule
in code PHASE 0 — getStatRows is the single base-rate path, so every branch is audited, plus the feature builders since l20_avg is the season reference projectionFor reads: getStatRows MLB -> estimator base fullLog CORRECT ( |
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builtbykev
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1bcdd8b305 |
Fix the ROOT: bind props to their real game, never date by the grade clock
Order 1.5 Phase 1. PropLine emits NO commence_time (grep-verified: zero hits in proplineAdapter), so ledgerService's `dateET(prop.game_time) || dateET(gradedTs)` always fell through to the GRADE timestamp — and a 01:00/03:00 UTC snapshot is 21:00/23:00 ET the PREVIOUS day. Tonight's props were filed under yesterday, settlement correctly found no game there, and Order 1's void logic turned that into 64 destroyed results. gameBinder.attachGameTimes() now matches every prop to a scheduled game by TEAMS across the plausible ET window (grade date, +1, -1) and attaches the GAME'S OWN time/date/id. It runs in snapshotService before grading and before the ledger write, so ledger, retention and settlement all inherit the correct date from one place. HARD CONTRACT: an unbindable prop returns NOTHING. ledgerService no longer has a grade-clock fallback — a row with no real game time is SKIPPED and counted, because a mis-dated row is fabricated data and the ledger holds real values or nothing. A slate that binds nothing pages. DOUBLEHEADERS are reported, never guessed: two games with the same teams on one date mark the binding `ambiguous` so settlement can decline rather than attribute a prop to the wrong game. (Real example already in the data: mlb:2026-07-11:MilwaukeeBrewers@PittsburghPirates(Game1).) Also fixes retention, which had the SAME bug from last night — I had dated model_snapshots rows with the snapshot clock. Rows now take the ET date of the bound game_time. Suite 282/3381 green, build exit 0. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SmNjJAwEnqHPtXbvSZR8kA |
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builtbykev
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5a5e37e32e |
Retention: fill enrichment fields + page on a zero-write slot
PHASE 1 — cron capture needed NO wiring. Verified in code: the scheduler tick calls runAll = snapshotService.runAllSnapshots, which loops runSnapshot per sport, which already carries the onGraded -> retention hook. The scheduled path and the manual path are the SAME function. The reason no cron cycle had been captured is simply that no slot has fired since retention deployed (slots are 14/19/22/1/3 UTC; retention landed ~02:55). Induced proof follows the deploy. PHASE 2 — archetype/team/opponent were permanently null because retention persisted at GRADE time, before enrichment attaches them. Retention still COLLECTS at grade time (the only moment the feature vector exists) but now PERSISTS after enrichment, merging those three fields via retentionService.mergeEnrichment. The merge is pure and fills ONLY those three fields — features and every model output are grade-time values and must never be rewritten by enrichment; a test asserts that. Unmatched rows (refusals not in the enriched slate) keep nulls rather than guesses. The empty-slate early return now persists too: a refusal-only slate is still history worth keeping. PHASE 3 — ZERO-WRITE ALARM. opsWatch.retentionZeroWriteAlarm pages at missed-snapshot severity when a slot GRADED props but retention wrote fewer rows than the slate (or nothing). runSnapshot now returns retentionRows so the scheduler can evaluate it. Retention is best-effort by design so it can never break a snapshot — which means a broken write is silent by construction. This is the counterweight. A slot that graded nothing never false-pages; an absent count reads as NOTHING and still pages, distinct from a reported 0. Suite 280/3349 green, build exit 0. Outcome stamping deliberately NOT implemented (depends on the settlement fix). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SmNjJAwEnqHPtXbvSZR8kA |
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builtbykev
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d3ffa1b8c2 |
Retention: model_snapshots live + base64 SSH key support
RETENTION (Phase 2, priority zero). History starts compounding tonight. migration 025 model_snapshots — APPLIED to prod. Append-only, one row per graded prop PER SIDE PER CYCLE, with a unique index on (snapshot_id, player_key, stat, line, side) so a retried cycle cannot duplicate. RLS on, service-role writes only. What it captures that the ledger never did: - features jsonb — the model's INPUTS. Without these a backtest can only grade our own homework; with them any future model can be replayed against the exact conditions this one faced. - REFUSALS (refused + refusal_reason). The ledger drops them, so a gate refusing props that would have WON is invisible — unmeasurable lost edge. Captured via a new onGraded hook in gradeSlateService that fires with BOTH sides before any filtering. - grade_11, the pre-collapse grade. The 4-letter map throws away the entire live C-/C/C+/B- range. - model_version + code_sha on every row. ledger_entries mixes pre/post-fix grades with no marker and cannot be separated retroactively. - p_win / ev_pct / fair_odds / takeable / value — none of which any permanent store held. Wiring: analyzeViaEngine1 attaches _features/_grade_11 (underscore = internal); gradeSlateService fires onGraded then STRIPS them so they never reach a cache or API payload; snapshotService builds rows and persists best-effort. Retention reuses the LEDGER's dateET/gameIdFor helpers so rows share the ledger's natural key exactly — otherwise the settle pass could never join outcomes onto them. Rows are written BEFORE the empty- slate early return: a slate that refused everything is exactly the case worth recording. CONTRACT HELD: retention is injectable and every path is caught. persist() returns errors, never throws; a missing Supabase client is SKIPPED, not an error. A retention failure can never break a snapshot. BACKUP: backup-db.sh now accepts BACKUP_SSH_KEY as base64 (recommended — survives env-var newline mangling, which is how injected SSH keys usually break silently) OR raw PEM, detected by decoding and looking for the PEM header. Verified both forms detect correctly against a real generated key. Suite 279/3325 green, build exit 0. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SmNjJAwEnqHPtXbvSZR8kA |