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9cb44d3252
Ports ruflo's benchmark-self-learning.mjs discipline (the 'reports success but persists nothing' detector) to AQE. Proves the learning stores actually persist what they claim, that stat aggregators agree with the underlying index, that nothing writes accidentally, and that data survives restart. Sections (each isolated in a temp dir, each gating): A store persistence — N creates => totalPatterns delta == N B outcome learning — N outcomes => learningOutcomes delta == N, successRate matches fed ratio C negative control — read-only ops => 0 delta (no accidental writes) D restart survival — dispose + reopen on same temp path => counts persist E consistency — RvfPatternStore.getStats == adapter.totalVectors == bank.totalPatterns F audit-real — copies real stores read-only, checks banner numbers round-trip Data protection (CLAUDE.md): synthetic mode uses fresh temp dirs; audit-real copies stores and opens only copies. Verified real .rvf stores byte-identical (mtime+size+sha256) before/after a run. Audit-real finding on the live store: banner numbers corroborated (72.5% success, 39.7% confidence, 2131 routings) BUT RVF vector count (338) != SQLite qe_patterns rows (345), a ~7-pattern index/table drift the banner hides — exactly the divergence this harness exists to surface (reported as a diagnostic note, non-gating). Synthetic sections A-E pass; exit 1 on failure. npm run benchmark:self-learning Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
28 KiB
28 KiB