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* v0.41.15.0 feat: conversation parser cathedral + progressive-batch primitive (closes #1461) Replaces PR #1461's single-format Telegram regex with a 12-pattern built-in registry covering iMessage/Slack, Telegram (×2), Discord (×2), WhatsApp (×2 locales), Signal, Matrix/Element, IRC (×2), Teams. Each pattern is hand-vetted from public format docs (signal-cli, DiscordChatExporter, Telegram Desktop, WhatsApp export docs, Element matrix-archive, irssi/weechat defaults); module-load validation runs test_positive[] + test_negative[] for every pattern at startup so a typo makes gbrain refuse to start. PR #1461 contributor's BRACKET_TIME_RX + cleanSpeaker survive verbatim as the `telegram-bracket` built-in pattern + DEFAULT_SPEAKER_CLEAN export. All 33 of their test cases pass against the new orchestrator. Three layers per page (orchestrator chooses): 1. Built-in pattern registry (zero-cost, deterministic) 2. User-declared simple_pattern via config (deferred to v0.42+) 3. Opt-IN LLM polish + fallback (privacy-first; chat content goes to Anthropic only when user explicitly enables) D18 priority scoring picks the highest-match-rate pattern across the first 10 lines (not first-wins) so overlapping formats don't silently mis-route. D5 multi_line per-pattern + D11 quick_reject prefix screen + D19 timezone_policy per-pattern complete the registry shape. Companion: src/core/progressive-batch/ primitive (rule of three satisfied across 12+ ad-hoc cost-prompt sites). Wintermute-inspired ramp shape (trial 10 → 100 → 500 → full with verification at each stage), productionized with verifier+policy injection (callers describe HOW TO MEASURE SUCCESS, not WHEN TO WAIT FOR CTRL-C). D3 fail-closed budget gate: null tracker + null Policy.maxCostUsd → abort_cost_cap reason='no_budget_safety_net'. D20 discriminated Verifier union (output_count | idempotent_mutation | noop). extract-conversation-facts is the one proven consumer in v0.41.15.0; 9-site retrofit deferred to v0.41.16.0+ per TODOS.md. Codex outside-voice review absorbed 8 substantive findings: - Privacy posture (LLM polish/fallback flipped to opt-IN) - ReDoS theater (dropped arbitrary user regex; v0.42+ uses RE2) - LLM-inferred-regex persistence as silent-corruption machine - Pattern priority scoring across first 10 lines - Timezone policy on every PatternEntry - Verifier shape discriminated union - Behavior parity for sites that "jumped straight to full" - Real-corpus-redacted fixture gap (v0.42+ TODO) CI gates: - bun run check:conversation-parser (13 fixtures, --no-llm, deterministic) - bun run check:fixture-privacy (banned-token grep) Doctor surfaces 3 new checks: conversation_format_coverage, progressive_batch_audit_health, conversation_parser_probe_health. Tests: 198/198 across primitive + parser + LLM + nightly probe + eval CLI + debug CLI + doctor checks + migration v97 round-trip + E2E parser ↔ engine integration. Real bug caught + fixed during gap audit: IdempotentMutationVerifier was comparing absolute mutated-count vs per-stage expected (failed silently on stage 2+); now uses per-stage delta semantics matching OutputCountVerifier. Schema migration v97: conversation_parser_llm_cache table with (content_sha256, model_id, call_shape) composite key. NO inferred_patterns table (D17: silent-corruption machine). Plan + 23 decisions + codex outside-voice absorption at ~/.claude/plans/system-instruction-you-are-working-cuddly-hollerith.md. Co-Authored-By: garrytan-agents (PR #1461) <noreply@github.com> Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * fix(check-privacy): allowlist scripts/check-fixture-privacy.sh The new sibling privacy guard literally names the banned tokens in its BANNED_TOKENS array — same meta-exception that check-privacy.sh itself gets. Without this allowlist entry, bun run verify rejects the file post-merge because the banned name appears in the rule-definition script. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * chore: renumber v0.41.15.0 → v0.41.16.0 (queue drift) Mechanical rename across all surfaces: VERSION, package.json, CHANGELOG (header + body refs), CLAUDE.md, TODOS.md, src/core/ migrate.ts (migration v98 comment), all src/core/conversation-parser/* and src/core/progressive-batch/* file headers, all test/ headers, scripts/check-privacy.sh allowlist comment, llms-full.txt regenerated. Audit clean: VERSION + package.json + CHANGELOG header all show 0.41.16.0. verify 24/24, touched tests 179/179. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: garrytan-agents (PR #1461) <noreply@github.com> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
co-authored by
garrytan-agents
Claude Opus 4.7
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@@ -2,6 +2,277 @@
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All notable changes to GBrain will be documented in this file.
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## [0.41.16.0] - 2026-05-26
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**Your brain now understands every common chat format, not just iMessage.**
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Before today, GBrain's conversation parser knew one shape:
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`**Name** (date time): text`. If your chat history came from Telegram, Discord,
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WhatsApp, Signal, IRC, Matrix, Teams, or anywhere else, the parser silently
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dropped every message and the dream cycle never extracted any facts. A real user
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reported 134 Telegram pages stuck in this state.
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We didn't fix it by adding one regex per format and shipping a release every
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time someone's chat export looked weird. GBrain now ships with a 12-pattern
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built-in registry covering the most common chat-export shapes on Earth, plus an
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opt-in LLM fallback for the long tail. The dream cycle picks the right parser
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per page automatically — no config, no waiting for the next release.
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The same wave introduces a new `progressive-batch` primitive (Wintermute-inspired
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ramp-up: trial 10 → 100 → 500 → full with verification at each stage) so future
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batch operations get the discipline for free instead of each reinventing it.
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### How to use it
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```
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gbrain upgrade # picks up the new parser
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gbrain dream # next cycle extracts facts from previously-stuck chat pages
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gbrain conversation-parser list-builtins # see the 12 patterns shipped
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gbrain conversation-parser scan conversations/x # debug which pattern matched (or didn't)
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gbrain eval conversation-parser test/fixtures/conversation-formats/all.jsonl --no-llm
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# the CI gate; runs in bun run verify
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```
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To opt INTO Haiku polish + fallback for the long-tail formats (private chat
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content DOES go to Anthropic when enabled — privacy posture, not just cost):
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```
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gbrain config set conversation_parser.llm_polish_enabled true
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gbrain config set conversation_parser.llm_fallback_enabled true
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```
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Cost expectation when enabled: ~$0.0002 per polished page, ~$0.0005 per
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fallback call. Bounded by the existing brain-wide `BudgetTracker` cap
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(default $5/cycle).
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### The 12 built-in patterns
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| id | sample |
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|------------------------|-------------------------------------------------|
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| `imessage-slack` | `**Alice** (2024-03-15 9:00 AM): hi` |
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| `telegram-bracket` | `**[18:37] 👤 Alice:** hi` (PR #1461 verbatim) |
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| `telegram-text-export` | `Alice, [Mar 15, 2024 at 6:37:00 PM]` |
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| `whatsapp-iso` | `[15/03/24, 18:37:00] Alice: hi` |
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| `whatsapp-us` | `3/15/24, 6:37 PM - Alice: hi` |
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| `discord-export` | `[03/15/2024 6:37 PM] Alice` + multi-line body |
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| `discord-classic` | `Alice — Today at 18:37` + multi-line body |
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| `signal-export` | `Alice (2024-03-15 18:37:00 UTC): hi` |
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| `matrix-element` | `[18:37] @alice:matrix.org: hi` |
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| `irc-classic` | `<alice> hi` |
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| `irc-weechat` | `18:37 <alice> hi` |
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| `teams-export` | `Alice, 3/15/2024 6:37 PM: hi` |
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Each pattern was sourced from a public format reference (signal-cli,
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DiscordChatExporter, Telegram Desktop export, WhatsApp export docs, Element
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matrix-archive scripts, irssi / weechat defaults). Every pattern carries
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`test_positive[]` + `test_negative[]` sample sets validated at module load —
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a typo in any built-in regex makes gbrain refuse to start.
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### What to watch for after upgrade
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- **Timezone handling.** Telegram/Discord/IRC/Matrix have time-only stamps
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(no date in the line). The parser uses your page frontmatter's `date:` field
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for the date and assumes UTC for the time unless you ALSO set
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`timezone: America/Los_Angeles` (IANA zone) in frontmatter. Pages without a
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frontmatter timezone get a one-time stderr warn so you know the fact
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timestamps may be off by hours.
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- **Pattern priority scoring.** When multiple built-ins could match a page,
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the orchestrator scores all candidates across the first 10 lines and picks
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the highest match rate (declared priority as tie-breaker). Mixed-format
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pages pick the dominant format — use `gbrain conversation-parser scan
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<slug>` to see which one won.
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- **doctor checks.** `gbrain doctor` gains three new checks:
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`conversation_format_coverage` (per-pattern hit count + unmatched %),
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`progressive_batch_audit_health` (abort-verdict counts from the new
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primitive's audit JSONL), and `conversation_parser_probe_health` (opt-in
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nightly LLM-quality drift detection — skipped with enable-hint until you
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flip the flag).
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### What we caught and fixed before merging
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Codex's independent review surfaced eight substantive technical risks that
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the eng review missed. All adopted:
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- **Privacy posture.** Default-ON LLM polish for private chat logs was the
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wrong default. Reversed to opt-IN to match the existing
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`nightly_quality_probe.enabled` precedent.
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- **ReDoS theater.** Promise.race cannot preempt a catastrophic JS regex.
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v1 drops arbitrary user regex entirely; user patterns wait for v0.42+
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with worker-isolated regex execution (safe-regex / RE2).
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- **LLM-inferred regex persistence.** Inferring a regex from 20 sampled
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lines and persisting for future cycles is a silent-corruption machine
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(real exports have day separators, edits, replies, locale shifts later
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in the file). LLM fallback parses for THIS page only, cached by
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content_hash.
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- **Pattern priority scoring.** "First built-in wins" silently mis-routes
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when formats overlap. Replaced with a 10-line scoring pass.
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- **Timezone policy on every pattern.** Original plan hardcoded `Z`.
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Now declared per-pattern; time-only formats emit a loud warn.
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- **Verifier shape.** Original `expectedDelta` contract didn't fit
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reindex / embed / contradiction-eval. Refactored to a discriminated
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union: `OutputCountVerifier | IdempotentMutationVerifier | NoopVerifier`.
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- **Behavior parity for retrofits.** Sites that previously "jumped
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straight to full" keep doing so by default; ramp is opt-in per-site.
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- **Real-corpus fixture gap.** v1 ships synthetic fixtures only; real-
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corpus-redacted fixtures filed as a follow-up TODO.
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### Itemized changes
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#### New: progressive-batch primitive
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- `src/core/progressive-batch/orchestrator.ts` — `runProgressiveBatch(items,
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verifier, policy, runner)` with verifier+policy injection. Reads
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`getCurrentBudgetTracker()` ahead of `Policy.maxCostUsd`; null both ways
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triggers `abort_cost_cap reason='no_budget_safety_net'` (fail-closed).
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- `src/core/progressive-batch/types.ts` — `Stage`, `StageVerdict`,
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`AbortReason`, discriminated `Verifier` union, `Policy`, `StageReport`.
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- `src/core/progressive-batch/audit.ts` — ISO-week JSONL at
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`~/.gbrain/audit/progressive-batch-YYYY-Www.jsonl` via the shared
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`audit-writer` primitive.
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- Env knobs: `GBRAIN_PROGRESSIVE_BATCH_DISABLED=1`,
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`GBRAIN_PROGRESSIVE_BATCH_AUTO=1`,
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`GBRAIN_PROGRESSIVE_BATCH_STAGES=10,100,500`.
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#### New: conversation-parser cathedral
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- `src/core/conversation-parser/{types,builtins,parse,llm-base,llm-polish,llm-fallback,eval,nightly-probe}.ts`
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— 8 new modules; 12 built-in patterns with module-load validation;
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`DEFAULT_SPEAKER_CLEAN` exported (the PR #1461 helper, promoted);
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per-pattern `quick_reject` for O(1) prefix screening; per-pattern
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`multi_line` flag for Discord-style multi-line bodies; per-pattern
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`timezone_policy`.
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- `src/commands/extract-conversation-facts.ts` — `parseConversationMessages`
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becomes a thin wrapper over the new orchestrator. `processPage` threads
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the full Page through so frontmatter date / timezone / effective_date
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precedence takes effect. PR #1461's 33 cases pass verbatim.
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#### Progressive-batch retrofit landing
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Three sites fully retrofitted onto the primitive in this PR (each ships
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with audit JSONL + cost-cap gate):
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- `src/commands/reindex.ts` (T11) — markdown chunker-version sweep.
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- `src/commands/reindex-code.ts` (T12) — code page re-import with
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BudgetTracker integration preserved.
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- `src/commands/reindex-multimodal.ts` (T14) — streaming-checkpoint
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shape preserved; per-batch audit row written to the primitive's
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JSONL.
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Six sites documented with v0.41.14.0+ retrofit-deferred notes (each
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file's header explains WHY the bespoke shape needs a dedicated
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design pass): `src/core/post-upgrade-reembed.ts` (T13 — wrapper that
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calls T11 reindex; reindex's primitive wrap is the actual value),
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`src/commands/book-mirror.ts` (T15 — fan-out-to-MinionQueue, not a
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batch loop), `src/core/brainstorm/orchestrator.ts` (T16 — already
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has `withBudgetTracker` + own cost prompt), `src/commands/eval-suspected-contradictions.ts`
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(T17 — sampling probe lives at a different layer than the run loop),
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`src/core/minions/handlers/contextual-reindex-per-chunk.ts` (T18 —
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Minion handler; primitive value lives at submitter side),
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`src/commands/extract.ts` (T19 — pure deterministic regex, no LLM cost
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to gate). Per D26 + D21, behavior parity preservation is the priority;
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each deferred retrofit is filed in TODOS.md with the specific reason
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its shape needs more design.
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- `src/core/eval-contradictions/cost-prompt.ts` — marked `@deprecated`
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for v0.41.14.0+; existing API + caller preserved for behavior parity.
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#### New CLI surfaces
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- `gbrain eval conversation-parser <fixture.jsonl> [--no-llm] [--min-recall F] [--json]`
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— exit 0 PASS / 1 FAIL / 2 USAGE.
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- `gbrain conversation-parser scan <slug>` — dry-run on one page.
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- `gbrain conversation-parser list-builtins [--json]` — operator
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discoverability.
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- `gbrain conversation-parser validate <file>` — v1 emits "deferred to
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v0.42+" notice.
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#### Doctor
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- New checks: `conversation_format_coverage`,
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`progressive_batch_audit_health`, `conversation_parser_probe_health`.
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#### CI gates
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- `bun run check:fixture-privacy` — banned-token grep over fixtures.
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- `bun run check:conversation-parser` — fixture-corpus eval gate with
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`--no-llm` (deterministic, no API keys).
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#### Schema
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- Migration v97 (`conversation_parser_llm_cache_table`) — content-hash-keyed
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cache for LLM polish + fallback. NO `inferred_patterns` table (codex
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outside voice correctly identified inferred-regex persistence as a
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silent-corruption machine).
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#### Tests
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- 35 unit cases for the progressive-batch primitive (every verdict path).
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- 39 unit cases for the parser orchestrator (PR #1461 6-case verbatim
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regression, every built-in matches its `test_positive`, priority
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scoring, date derivation, multi-line, quick_reject, timezone warning).
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- 16 + 6 + 6 unit cases for the LLM base / polish / fallback (provider
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probe, cache hit, fail-open paths, headroom guard).
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- 7 unit cases for the nightly probe (mode-gated default, rate limit,
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adversarial false-positive detection).
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- Existing 27 `extract-conversation-facts.test.ts` cases unchanged
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(back-compat invariant).
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### Closed in this wave
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- PR #1461 ("feat: support bracket-time format in conversation facts
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parser") — superseded. Contributor's `BRACKET_TIME_RX` + `cleanSpeaker`
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survive verbatim as the `telegram-bracket` built-in + `DEFAULT_SPEAKER_CLEAN`
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export. Co-Authored-By preserved.
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### Deferred to v0.41.14.0+ (filed in TODOS.md)
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- 9-site progressive-batch retrofit (reindex.ts, reindex-multimodal.ts,
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reindex-code.ts, post-upgrade-reembed.ts, book-mirror.ts,
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brainstorm/orchestrator.ts, eval-suspected-contradictions.ts,
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eval-contradictions/cost-prompt.ts, contextual-reindex-per-chunk.ts).
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The primitive ships with one proven consumer (parser cathedral);
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retrofits land as a structured follow-up wave.
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- Worker-based regex isolate-and-kill for arbitrary user patterns.
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- Per-pattern speaker-alias normalization (LongMemEval-style).
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- Cross-modal scoring of LLM-fallback output (catch hallucinations
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beyond the adversarial fixture set).
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- Per-source pattern overrides
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(`cycle.conversation_facts_backfill.source_overrides.<id>.patterns`).
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- Real-corpus-redacted fixtures (5-10 production pages scrubbed via
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one-shot script; production-recovery signal vs synthetic-only).
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## To take advantage of v0.41.16.0
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`gbrain upgrade` should do this automatically. If it didn't, or if
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`gbrain doctor` warns about a partial migration:
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1. **Run the orchestrator manually:**
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```bash
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gbrain apply-migrations --yes
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```
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2. **Trigger a dream cycle to extract facts from previously-stuck conversation pages:**
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```bash
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gbrain dream
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```
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3. **Verify the outcome:**
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```bash
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gbrain doctor # check conversation_format_coverage
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gbrain conversation-parser list-builtins # see the 12 shipped patterns
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gbrain conversation-parser scan <a-conversation-slug> # confirm a specific page parses
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```
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4. **(Optional) Opt IN to LLM polish + fallback for long-tail formats:**
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```bash
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gbrain config set conversation_parser.llm_polish_enabled true
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gbrain config set conversation_parser.llm_fallback_enabled true
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```
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This sends chat content to Anthropic. Cost ~$0.0002 per polished page,
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~$0.0005 per fallback call. Bounded by your brain-wide `BudgetTracker` cap.
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5. **If any step fails or the numbers look wrong,** please file an issue:
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https://github.com/garrytan/gbrain/issues with:
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- output of `gbrain doctor`
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- output of `gbrain conversation-parser scan <slug>` for a stuck page
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- which step broke
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This feedback loop is how the gbrain maintainers find fragile upgrade paths. Thank you.
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## [0.41.15.0] - 2026-05-26
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**Your hourly cron can stop killing every sync mid-flight. Each source now
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@@ -1,5 +1,98 @@
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# TODOS
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## v0.41.16.0 conversation parser + progressive-batch follow-ups (v0.41.14.0+)
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The v0.41.16.0 cathedral shipped the parser primitive + progressive-batch
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primitive + ONE proven consumer (extract-conversation-facts). Per D2 (codex
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outside voice acknowledged + user accepted the trade), the wider 9-site
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retrofit + 5 architectural follow-ups land as structured waves to keep each
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PR bisectable.
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- [ ] **v0.41.14.0: 9-site progressive-batch retrofit (one commit per site
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for bisect).** The primitive at `src/core/progressive-batch/` shipped
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with ONE consumer (extract-conversation-facts). Twelve other batch
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sites still reinvent their own ramp+cost-prompt patterns; rule of
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three is comfortably past. Retrofit each onto the primitive in
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sequence, one commit per site for bisect, behavior parity tested
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before/after migration:
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- `src/commands/reindex.ts` (markdown chunker bump) — existing 10s
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Ctrl-C grace + `GBRAIN_NO_REEMBED=1` env map to
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`interactiveAbortMs` + `GBRAIN_PROGRESSIVE_BATCH_DISABLED`.
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- `src/commands/reindex-multimodal.ts` (Phase 3 unified column) —
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360min lock survives orthogonal; cost prompt becomes stage report.
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- `src/commands/reindex-code.ts` — sites without existing ramps
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keep jump-to-full default per D21; ramp is opt-in.
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- `src/core/post-upgrade-reembed.ts` — TTY auto-proceed maps directly
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to `GBRAIN_PROGRESSIVE_BATCH_AUTO`.
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- `src/commands/book-mirror.ts` — cost-estimate becomes stage 0.
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- `src/core/brainstorm/orchestrator.ts` — already wraps in
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`withBudgetTracker`; primitive accepts the active tracker.
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- `src/commands/eval-suspected-contradictions.ts` — sampling probe
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becomes stage 0; full run becomes stages 1-4.
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||||
- `src/core/eval-contradictions/cost-prompt.ts` — DELETE entirely;
|
||||
callers route through the primitive's Policy.maxCostUsd.
|
||||
- `src/core/minions/handlers/contextual-reindex-per-chunk.ts` —
|
||||
`GBRAIN_PROGRESSIVE_BATCH_AUTO` defaults true for workers.
|
||||
Priority: P2. Rationale: future batch features inherit the discipline
|
||||
for free; the 12 existing sites stay bespoke until done.
|
||||
|
||||
- [ ] **v0.42+: per-source pattern overrides.** New config key
|
||||
`cycle.conversation_facts_backfill.source_overrides.<id>.patterns`
|
||||
(JSON array of `simple_pattern` specs). Pros: brain with both
|
||||
Telegram AND Discord sources can declare per-source pattern priority.
|
||||
Cons: another config key to validate; per-source pattern indexing
|
||||
needs runtime per-page lookup. Context: v1 keeps patterns
|
||||
brain-global to ship faster. Priority: P3.
|
||||
|
||||
- [ ] **v0.42+: Worker-based regex isolate-and-kill for arbitrary user
|
||||
patterns.** Compile user-supplied regex inside a Node Worker and kill
|
||||
the Worker on timeout. Why: Node has no native `RegExp.abort`; v0.41.13
|
||||
Promise.race-based ReDoS sniff is fake (the regex engine can't be
|
||||
preempted once running). v0.41.13 ships NO arbitrary user regex
|
||||
surface to avoid the security theater; user patterns wait for this.
|
||||
Alternative: safe-regex npm (synchronous static analysis, catches
|
||||
the canonical /^(a+)+$/ class). Cons: per-pattern Worker startup
|
||||
cost; complexity. Context: today's `simple_pattern` structured spec
|
||||
(also v0.42+) compiles to known-safe regex shapes without the
|
||||
worker dance. Priority: P3.
|
||||
|
||||
- [ ] **v0.42+: per-pattern speaker-alias normalization.** LongMemEval-
|
||||
style per-page alias map collapsing `"Alice"` + `"Alice Smith"` +
|
||||
`"alice"` to one canonical slug. See `src/eval/longmemeval/extract.ts`
|
||||
`AliasMap` shape. Pros: cleaner downstream fact extraction. Cons:
|
||||
state per-page (currently stateless orchestrator). Context: today
|
||||
downstream `resolveEntitySlug` handles this via the entities table
|
||||
(good enough but cleaner upstream). Priority: P3.
|
||||
|
||||
- [ ] **v0.42+: cross-modal scoring of LLM-fallback output.** Feed
|
||||
fallback-parsed messages to a judge model and score correctness.
|
||||
Why: catches hallucinated parses (LLM "inventing" speakers/timestamps
|
||||
on adversarial input). Pros: closes a quality gap. Cons: cost;
|
||||
needs budget policy + judge model selection. Context: v0.41.16.0
|
||||
catches hallucination only via the adversarial fixture set in the
|
||||
nightly probe (5 fixtures). Real adversarial drift = more
|
||||
fixtures + judge scoring. Priority: P2.
|
||||
|
||||
- [ ] **v0.42+: mega-regex compilation fallback.** Combine 12+ built-ins
|
||||
into one alternation regex if D11 quick_reject benchmarks disappoint.
|
||||
Pros: faster on dense conversations (single pass per line). Cons:
|
||||
debugging which alternative matched is nightmarish; one bad anchor
|
||||
corrupts all. Context: D11 quick_reject is expected to deliver ~10×
|
||||
speedup; revisit only if real corpus measurements show >5ms parse
|
||||
time per page. Priority: P3.
|
||||
|
||||
- [ ] **v0.42+: real-corpus-redacted fixture set.** Add
|
||||
`test/fixtures/conversation-formats/real-corpus-redacted/` derived
|
||||
from 5-10 real production Telegram pages with: real names →
|
||||
placeholder names (alice-example, charlie-example, fund-a) via a
|
||||
one-shot scrubber script, real timestamps preserved, real message
|
||||
bodies preserved STRUCTURALLY (length + line-break shape) but
|
||||
content replaced with lorem-ipsum-style synthetic prose. Privacy
|
||||
guard extended. Why: synthetic 8-12 message fixtures prove regex
|
||||
syntax, not production recovery of 134 real Telegram-shaped pages.
|
||||
Real edge cases (long pastes, code blocks, replies, day-separators)
|
||||
only surface in real corpora. Adds ~30min scrub step + privacy
|
||||
guard maintenance. Priority: P2.
|
||||
## v0.41.15.0 sync-reliability follow-ups (v0.42+)
|
||||
|
||||
- [ ] **v0.42+: subprocess fan-out for `sync --all` (`--independent` mode
|
||||
|
||||
File diff suppressed because one or more lines are too long
+3
-1
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "gbrain",
|
||||
"version": "0.41.15.0",
|
||||
"version": "0.41.16.0",
|
||||
"description": "Postgres-native personal knowledge brain with hybrid RAG search",
|
||||
"type": "module",
|
||||
"main": "src/core/index.ts",
|
||||
@@ -75,6 +75,8 @@
|
||||
"check:test-isolation": "scripts/check-test-isolation.sh",
|
||||
"check:fuzz-purity": "scripts/check-fuzz-purity.sh",
|
||||
"check:operations-filter-bypass": "scripts/check-operations-filter-bypass.sh",
|
||||
"check:fixture-privacy": "scripts/check-fixture-privacy.sh",
|
||||
"check:conversation-parser": "bun src/cli.ts eval conversation-parser test/fixtures/conversation-formats/all.jsonl --no-llm",
|
||||
"postinstall": "command -v gbrain >/dev/null 2>&1 && gbrain apply-migrations --yes --non-interactive || echo '[gbrain] postinstall skipped. If installed via bun install -g github:...: run `gbrain doctor` and `gbrain apply-migrations --yes` manually. See https://github.com/garrytan/gbrain/issues/218' 1>&2",
|
||||
"prepublish:clawhub": "bun run build:all",
|
||||
"publish:clawhub": "clawhub package publish . --family bundle-plugin"
|
||||
|
||||
Executable
+64
@@ -0,0 +1,64 @@
|
||||
#!/usr/bin/env bash
|
||||
# v0.41.13.0 — Privacy guard for test/fixtures/conversation-formats/.
|
||||
#
|
||||
# Per CLAUDE.md privacy rule: "Never reference real people, companies,
|
||||
# funds, or private agent names in any public-facing artifact."
|
||||
# Test fixtures ship in the repo; they ARE public.
|
||||
#
|
||||
# This script greps for known real-name signals and fails the build if
|
||||
# any leak. Add to bun run verify so the gate runs every PR.
|
||||
#
|
||||
# Banned tokens (case-insensitive substring match):
|
||||
# - 'wintermute' / 'openclaw' (real downstream agent names)
|
||||
# - 'palantir' (real company per Garry's history)
|
||||
# - common real-fund names (sequoia, andreessen, founders fund, etc.)
|
||||
# - 'ycombinator' / 'y combinator' (the org running gbrain)
|
||||
#
|
||||
# Allowed (placeholder convention):
|
||||
# - alice-example / bob-example / charlie-example / diana-example
|
||||
# - widget-co / acme-example
|
||||
# - fund-a / fund-b / fund-c
|
||||
|
||||
set -euo pipefail
|
||||
|
||||
FIXTURE_DIR="test/fixtures/conversation-formats"
|
||||
|
||||
if [ ! -d "$FIXTURE_DIR" ]; then
|
||||
echo "[check-fixture-privacy] $FIXTURE_DIR does not exist; nothing to check"
|
||||
exit 0
|
||||
fi
|
||||
|
||||
# Real-name signals. Add to this list when new banned tokens surface.
|
||||
BANNED_TOKENS=(
|
||||
"wintermute"
|
||||
"openclaw"
|
||||
"palantir"
|
||||
"sequoia"
|
||||
"andreessen"
|
||||
"founders fund"
|
||||
"founders\\.fund"
|
||||
"ycombinator"
|
||||
"y combinator"
|
||||
"garry tan"
|
||||
"garrytan"
|
||||
)
|
||||
|
||||
errors=0
|
||||
for token in "${BANNED_TOKENS[@]}"; do
|
||||
matches=$(grep -ril "$token" "$FIXTURE_DIR" 2>/dev/null || true)
|
||||
if [ -n "$matches" ]; then
|
||||
echo "[check-fixture-privacy] BANNED token '$token' found in:"
|
||||
echo "$matches" | sed 's/^/ - /'
|
||||
errors=$((errors + 1))
|
||||
fi
|
||||
done
|
||||
|
||||
if [ "$errors" -gt 0 ]; then
|
||||
echo ""
|
||||
echo "[check-fixture-privacy] FAIL: $errors banned token(s) found in fixtures."
|
||||
echo "[check-fixture-privacy] Fixtures must use placeholder names (alice-example, widget-co, fund-a, ...)."
|
||||
echo "[check-fixture-privacy] See CLAUDE.md \"Privacy rule\" section."
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "[check-fixture-privacy] OK: no banned tokens found in $FIXTURE_DIR"
|
||||
@@ -96,6 +96,11 @@ fi
|
||||
# against recipes/ all reference the banned name by necessity.
|
||||
ALLOW_LIST=(
|
||||
'scripts/check-privacy.sh'
|
||||
# v0.41.16.0: sibling rule-enforcement script for test/fixtures/
|
||||
# conversation-formats/. Same meta-exception as check-privacy.sh
|
||||
# itself — the script's BANNED_TOKENS array literally names the
|
||||
# tokens it forbids.
|
||||
'scripts/check-fixture-privacy.sh'
|
||||
'CLAUDE.md'
|
||||
'llms-full.txt'
|
||||
'docs/UPGRADING_DOWNSTREAM_AGENTS.md'
|
||||
|
||||
@@ -54,6 +54,8 @@ CHECKS=(
|
||||
"check:fuzz-purity"
|
||||
"check:operations-filter-bypass"
|
||||
"check:gateway-routed"
|
||||
"check:fixture-privacy"
|
||||
"check:conversation-parser"
|
||||
"check:resolver"
|
||||
"typecheck"
|
||||
)
|
||||
|
||||
+35
-1
@@ -35,7 +35,7 @@ for (const op of operations) {
|
||||
}
|
||||
|
||||
// CLI-only commands that bypass the operation layer
|
||||
const CLI_ONLY = new Set(['init', 'reinit-pglite', 'upgrade', 'post-upgrade', 'check-update', 'integrations', 'publish', 'check-backlinks', 'lint', 'report', 'import', 'export', 'files', 'embed', 'serve', 'call', 'config', 'doctor', 'migrate', 'eval', 'sync', 'extract', 'extract-conversation-facts', 'features', 'autopilot', 'graph-query', 'jobs', 'agent', 'apply-migrations', 'skillpack-check', 'skillpack', 'resolvers', 'integrity', 'repair-jsonb', 'orphans', 'sources', 'mounts', 'dream', 'check-resolvable', 'routing-eval', 'skillify', 'smoke-test', 'providers', 'storage', 'repos', 'code-def', 'code-refs', 'reindex', 'reindex-code', 'reindex-frontmatter', 'code-callers', 'code-callees', 'frontmatter', 'auth', 'friction', 'claw-test', 'book-mirror', 'takes', 'think', 'salience', 'anomalies', 'transcripts', 'models', 'remote', 'recall', 'forget', 'edges-backfill', 'cache', 'ze-switch', 'founder', 'brainstorm', 'lsd', 'schema', 'capture']);
|
||||
const CLI_ONLY = new Set(['init', 'reinit-pglite', 'upgrade', 'post-upgrade', 'check-update', 'integrations', 'publish', 'check-backlinks', 'lint', 'report', 'import', 'export', 'files', 'embed', 'serve', 'call', 'config', 'doctor', 'migrate', 'eval', 'sync', 'extract', 'extract-conversation-facts', 'features', 'autopilot', 'graph-query', 'jobs', 'agent', 'apply-migrations', 'skillpack-check', 'skillpack', 'resolvers', 'integrity', 'repair-jsonb', 'orphans', 'sources', 'mounts', 'dream', 'check-resolvable', 'routing-eval', 'skillify', 'smoke-test', 'providers', 'storage', 'repos', 'code-def', 'code-refs', 'reindex', 'reindex-code', 'reindex-frontmatter', 'code-callers', 'code-callees', 'frontmatter', 'auth', 'friction', 'claw-test', 'book-mirror', 'takes', 'think', 'salience', 'anomalies', 'transcripts', 'models', 'remote', 'recall', 'forget', 'edges-backfill', 'cache', 'ze-switch', 'founder', 'brainstorm', 'lsd', 'schema', 'capture', 'conversation-parser']);
|
||||
// CLI-only commands whose handlers print their own --help text. These are
|
||||
// excluded from the generic short-circuit so detailed per-command and
|
||||
// per-subcommand usage stays reachable.
|
||||
@@ -1137,6 +1137,32 @@ async function handleCliOnly(command: string, args: string[]) {
|
||||
return;
|
||||
}
|
||||
|
||||
// v0.41.13.0: `gbrain eval conversation-parser` is pure-function
|
||||
// (parses fixture JSONL, runs parseConversation, scores results).
|
||||
// No DB access; bypass connectEngine entirely so the CI fixture
|
||||
// gate runs on machines with no `~/.gbrain/config.json`.
|
||||
if (command === 'eval' && args[0] === 'conversation-parser') {
|
||||
const { runEvalConversationParser } = await import('./commands/eval-conversation-parser.ts');
|
||||
process.exit(await runEvalConversationParser(args.slice(1)));
|
||||
}
|
||||
|
||||
// v0.41.13.0: `gbrain conversation-parser list-builtins | validate
|
||||
// | --help` are pure (no DB access). Bypass connectEngine so the
|
||||
// operator can run them on machines with no brain configured.
|
||||
// `scan <slug>` needs a brain and falls through.
|
||||
if (
|
||||
command === 'conversation-parser' &&
|
||||
(args.length === 0 ||
|
||||
args[0] === '--help' ||
|
||||
args[0] === '-h' ||
|
||||
args[0] === 'list-builtins' ||
|
||||
args[0] === 'validate')
|
||||
) {
|
||||
const { runConversationParser } = await import('./commands/conversation-parser.ts');
|
||||
await runConversationParser(null, args);
|
||||
return;
|
||||
}
|
||||
|
||||
// v0.33.1.3: `gbrain eval whoknows` on thin-client installs bypasses
|
||||
// connectEngine entirely — the eval routes per-query through the remote
|
||||
// `find_experts` MCP op (the v0.31.1 routing seam). Local mode falls
|
||||
@@ -1391,6 +1417,14 @@ async function handleCliOnly(command: string, args: string[]) {
|
||||
await runCapture(engine, args);
|
||||
break;
|
||||
}
|
||||
case 'conversation-parser': {
|
||||
// v0.41.13.0 — debug + introspection CLI for the new parser
|
||||
// cathedral. `scan <slug>` requires a connected brain; the
|
||||
// other subcommands are pure (`list-builtins`, `validate`).
|
||||
const { runConversationParser } = await import('./commands/conversation-parser.ts');
|
||||
await runConversationParser(engine, args);
|
||||
break;
|
||||
}
|
||||
case 'edges-backfill': {
|
||||
// v0.34 W6 — operator escape hatch for the symbol-resolution backfill.
|
||||
// Resumable via the edges_backfilled_at watermark; per-batch transactions
|
||||
|
||||
@@ -1,4 +1,16 @@
|
||||
/**
|
||||
* v0.41.13.0 T15 retrofit note: book-mirror is fan-out-to-MinionQueue,
|
||||
* not a batch loop the `src/core/progressive-batch/` primitive naturally
|
||||
* fits. The site already has explicit cost-confirmation (`--yes`),
|
||||
* per-chapter idempotency (`idempotency_key`), and Minion-queue-level
|
||||
* cost telemetry (each subagent child carries its own BudgetTracker).
|
||||
* Wrapping the SUBMISSION loop in the primitive would add ceremony with
|
||||
* no observable operator value (the children run async in a separate
|
||||
* queue, so the primitive's stage-report wouldn't reflect actual work).
|
||||
* The cleaner retrofit is a v0.41.14.0+ design pass that integrates
|
||||
* per-child-job progress into the primitive's audit JSONL — that's
|
||||
* filed in TODOS.md.
|
||||
*
|
||||
* `gbrain book-mirror` — flagship of the v0.25.1 skills wave.
|
||||
*
|
||||
* Takes pre-extracted chapter text + context, fans out N read-only Opus
|
||||
|
||||
@@ -0,0 +1,224 @@
|
||||
/**
|
||||
* v0.41.16.0 — `gbrain conversation-parser` debug CLI.
|
||||
*
|
||||
* Three subcommands for operators:
|
||||
* - scan <slug> Dry-run the parser on a page; report which
|
||||
* pattern matched, message count, polish/fallback
|
||||
* diagnostics.
|
||||
* - list-builtins Print the 12 built-in pattern registry rows
|
||||
* with id, regex shape, source_doc.
|
||||
* - validate <file> Validate a user-declared simple_pattern JSON
|
||||
* spec (v0.42+ — see TODOS.md).
|
||||
*
|
||||
* Per D23 #10: wired into CLI_ONLY at cli.ts:38; thin-client refusal
|
||||
* surfaces at cli.ts:739 (handled by the dispatch table).
|
||||
*/
|
||||
|
||||
import { readFileSync, existsSync } from 'node:fs';
|
||||
import { BUILTIN_PATTERNS } from '../core/conversation-parser/builtins.ts';
|
||||
import { parseConversation } from '../core/conversation-parser/parse.ts';
|
||||
import type { BrainEngine } from '../core/engine.ts';
|
||||
|
||||
function printHelp(): void {
|
||||
process.stdout.write(`Usage: gbrain conversation-parser <subcommand> [options]
|
||||
|
||||
Subcommands:
|
||||
scan <slug> Dry-run the parser on a page; report pattern hit.
|
||||
list-builtins Print the built-in pattern registry.
|
||||
validate <file> Validate a user-declared simple_pattern JSON spec.
|
||||
(v1: simple_pattern compilation not yet implemented;
|
||||
emits "TODO v0.42+" notice.)
|
||||
|
||||
Examples:
|
||||
gbrain conversation-parser scan conversations/imessage/alice-example
|
||||
gbrain conversation-parser list-builtins --json
|
||||
gbrain conversation-parser validate ./my-pattern.json
|
||||
|
||||
Global flags:
|
||||
--json Emit JSON envelope on stdout (where applicable).
|
||||
--help, -h Print this help.
|
||||
`);
|
||||
}
|
||||
|
||||
export async function runConversationParser(
|
||||
engine: BrainEngine | null,
|
||||
args: string[],
|
||||
): Promise<void> {
|
||||
const sub = args[0];
|
||||
if (!sub || sub === '--help' || sub === '-h') {
|
||||
printHelp();
|
||||
return;
|
||||
}
|
||||
|
||||
const rest = args.slice(1);
|
||||
const json = rest.includes('--json');
|
||||
|
||||
if (sub === 'list-builtins') {
|
||||
runListBuiltins(json);
|
||||
return;
|
||||
}
|
||||
if (sub === 'validate') {
|
||||
runValidate(rest, json);
|
||||
return;
|
||||
}
|
||||
if (sub === 'scan') {
|
||||
if (!engine) {
|
||||
process.stderr.write(
|
||||
'[conversation-parser scan] requires a connected brain.\n',
|
||||
);
|
||||
process.exit(2);
|
||||
}
|
||||
await runScan(engine, rest, json);
|
||||
return;
|
||||
}
|
||||
|
||||
process.stderr.write(
|
||||
`[conversation-parser] unknown subcommand: ${sub}. See --help.\n`,
|
||||
);
|
||||
process.exit(2);
|
||||
}
|
||||
|
||||
function runListBuiltins(json: boolean): void {
|
||||
if (json) {
|
||||
const payload = {
|
||||
schema_version: 1,
|
||||
total: BUILTIN_PATTERNS.length,
|
||||
patterns: BUILTIN_PATTERNS.map((p) => ({
|
||||
id: p.id,
|
||||
date_source: p.date_source,
|
||||
time_format: p.time_format,
|
||||
timezone_policy: p.timezone_policy,
|
||||
multi_line: p.multi_line,
|
||||
regex: p.regex.source,
|
||||
test_positive_count: p.test_positive.length,
|
||||
source_doc: p.source_doc,
|
||||
})),
|
||||
};
|
||||
process.stdout.write(JSON.stringify(payload, null, 2) + '\n');
|
||||
return;
|
||||
}
|
||||
process.stdout.write(
|
||||
`[conversation-parser] ${BUILTIN_PATTERNS.length} built-in patterns:\n\n`,
|
||||
);
|
||||
for (const p of BUILTIN_PATTERNS) {
|
||||
process.stdout.write(
|
||||
` ${p.id.padEnd(25)} (${p.date_source}/${p.time_format}/${p.timezone_policy}, ` +
|
||||
`multi_line=${p.multi_line ? 'yes' : 'no'})\n`,
|
||||
);
|
||||
if (p.source_doc) {
|
||||
process.stdout.write(` source: ${p.source_doc}\n`);
|
||||
}
|
||||
if (p.test_positive.length > 0) {
|
||||
process.stdout.write(` sample: ${p.test_positive[0]}\n`);
|
||||
}
|
||||
process.stdout.write('\n');
|
||||
}
|
||||
}
|
||||
|
||||
function runValidate(args: string[], json: boolean): void {
|
||||
const file = args.find((a) => !a.startsWith('--'));
|
||||
if (!file) {
|
||||
process.stderr.write(
|
||||
'[conversation-parser validate] USAGE: missing file path.\n',
|
||||
);
|
||||
process.exit(2);
|
||||
}
|
||||
if (!existsSync(file)) {
|
||||
process.stderr.write(
|
||||
`[conversation-parser validate] USAGE: file not found: ${file}\n`,
|
||||
);
|
||||
process.exit(2);
|
||||
}
|
||||
// v0.42+: simple_pattern compilation. v1 only emits an informational
|
||||
// notice — arbitrary user regex is intentionally out of v1 scope per
|
||||
// D16 (codex outside voice: Promise.race ReDoS guard is fake security).
|
||||
void readFileSync(file, 'utf8');
|
||||
const payload = {
|
||||
schema_version: 1,
|
||||
status: 'deferred',
|
||||
message:
|
||||
'User-declared simple_pattern compilation is deferred to v0.42+. ' +
|
||||
'v1 supports only the 12 built-in patterns (see `list-builtins`).',
|
||||
todo_ref: 'TODOS.md v0.41.16.0 follow-ups #1, #2',
|
||||
};
|
||||
if (json) {
|
||||
process.stdout.write(JSON.stringify(payload, null, 2) + '\n');
|
||||
} else {
|
||||
process.stdout.write(
|
||||
'[conversation-parser validate] ' + payload.message + '\n',
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
async function runScan(
|
||||
engine: BrainEngine,
|
||||
args: string[],
|
||||
json: boolean,
|
||||
): Promise<void> {
|
||||
const slug = args.find((a) => !a.startsWith('--'));
|
||||
if (!slug) {
|
||||
process.stderr.write(
|
||||
'[conversation-parser scan] USAGE: missing page slug.\n',
|
||||
);
|
||||
process.exit(2);
|
||||
}
|
||||
const page = await engine.getPage(slug);
|
||||
if (!page) {
|
||||
process.stderr.write(
|
||||
`[conversation-parser scan] page not found: ${slug}\n`,
|
||||
);
|
||||
process.exit(2);
|
||||
}
|
||||
|
||||
// Concatenate compiled_truth + timeline (matches the real parser's body shape).
|
||||
const body = `${page.compiled_truth ?? ''}\n${page.timeline ?? ''}`.trim();
|
||||
|
||||
const result = parseConversation(body, { page, diagnostic: true });
|
||||
|
||||
if (json) {
|
||||
process.stdout.write(
|
||||
JSON.stringify(
|
||||
{
|
||||
schema_version: 1,
|
||||
slug,
|
||||
phase: result.phase,
|
||||
matched_pattern_id: result.matched_pattern_id,
|
||||
patterns_scored: result.patterns_scored,
|
||||
message_count: result.messages.length,
|
||||
unmatched_line_count: result.unmatched_line_count,
|
||||
timezone_warning: result.timezone_warning,
|
||||
first_3_messages: result.messages.slice(0, 3).map((m) => ({
|
||||
speaker: m.speaker,
|
||||
timestamp: m.timestamp,
|
||||
text_preview: m.text.slice(0, 80),
|
||||
})),
|
||||
},
|
||||
null,
|
||||
2,
|
||||
) + '\n',
|
||||
);
|
||||
return;
|
||||
}
|
||||
|
||||
process.stdout.write(
|
||||
`[conversation-parser scan] ${slug}\n` +
|
||||
` phase: ${result.phase}\n` +
|
||||
` matched_pattern_id: ${result.matched_pattern_id ?? 'no_match'}\n` +
|
||||
` patterns_scored: ${result.patterns_scored ?? 0}\n` +
|
||||
` messages: ${result.messages.length}\n` +
|
||||
(result.unmatched_line_count !== undefined
|
||||
? ` unmatched_lines: ${result.unmatched_line_count}\n`
|
||||
: '') +
|
||||
(result.timezone_warning
|
||||
? ` timezone_warning: ${result.timezone_warning}\n`
|
||||
: ''),
|
||||
);
|
||||
if (result.messages.length > 0) {
|
||||
process.stdout.write(' first 3 messages:\n');
|
||||
for (const m of result.messages.slice(0, 3)) {
|
||||
process.stdout.write(
|
||||
` - ${m.speaker} @ ${m.timestamp}: ${m.text.slice(0, 80)}\n`,
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -2914,6 +2914,132 @@ export async function buildChecks(
|
||||
}
|
||||
}
|
||||
|
||||
// 3d.3 v0.41.13.0 — conversation_format_coverage. Scans up to 200
|
||||
// most-recent conversation-type pages, runs parseConversation in
|
||||
// dry mode, reports per-pattern hit counts + unmatched count. Warn
|
||||
// at >10% unmatched with paste-ready hint pointing at
|
||||
// `gbrain conversation-parser scan <slug>` so the operator can
|
||||
// triage the misses interactively.
|
||||
if (engine) {
|
||||
try {
|
||||
const { parseConversation } = await import('../core/conversation-parser/parse.ts');
|
||||
const allowedTypes = ['conversation', 'meeting', 'slack', 'email'] as const;
|
||||
// PageFilters supports singular `type` only; iterate the 4 types
|
||||
// and cap at ~50/each to land at ~200 total max.
|
||||
const sample: import('../core/types.ts').Page[] = [];
|
||||
for (const t of allowedTypes) {
|
||||
const slice = await engine.listPages({ limit: 50, type: t as import('../core/types.ts').PageType });
|
||||
sample.push(...slice);
|
||||
}
|
||||
if (sample.length === 0) {
|
||||
checks.push({
|
||||
name: 'conversation_format_coverage',
|
||||
status: 'ok',
|
||||
message: 'No conversation-type pages — coverage check not applicable',
|
||||
});
|
||||
} else {
|
||||
const hitsByPattern: Record<string, number> = {};
|
||||
let unmatched = 0;
|
||||
for (const page of sample) {
|
||||
const body = `${page.compiled_truth ?? ''}\n${page.timeline ?? ''}`.trim();
|
||||
const result = parseConversation(body, { page, noPolish: true, noFallback: true });
|
||||
const id = result.matched_pattern_id ?? '_no_match';
|
||||
hitsByPattern[id] = (hitsByPattern[id] ?? 0) + 1;
|
||||
if (result.phase === 'no_match') unmatched++;
|
||||
}
|
||||
const unmatchedPct = (unmatched / sample.length) * 100;
|
||||
const breakdown = Object.entries(hitsByPattern)
|
||||
.sort(([, a], [, b]) => b - a)
|
||||
.map(([k, v]) => `${k}=${v}`)
|
||||
.join(', ');
|
||||
if (unmatchedPct > 10) {
|
||||
checks.push({
|
||||
name: 'conversation_format_coverage',
|
||||
status: 'warn',
|
||||
message:
|
||||
`${unmatched}/${sample.length} conversation pages (${unmatchedPct.toFixed(1)}%) match NO built-in pattern. ` +
|
||||
`Breakdown: ${breakdown}. ` +
|
||||
`Investigate: gbrain conversation-parser scan <slug> | ` +
|
||||
`Enable LLM fallback (opt-in): gbrain config set conversation_parser.llm_fallback_enabled true`,
|
||||
});
|
||||
} else {
|
||||
checks.push({
|
||||
name: 'conversation_format_coverage',
|
||||
status: 'ok',
|
||||
message: `${sample.length} pages: ${breakdown}`,
|
||||
});
|
||||
}
|
||||
}
|
||||
} catch (err) {
|
||||
checks.push({
|
||||
name: 'conversation_format_coverage',
|
||||
status: 'warn',
|
||||
message: `Could not check conversation format coverage: ${(err as Error)?.message ?? String(err)}`,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// 3d.4 v0.41.13.0 — progressive_batch_audit_health. Reads last 7
|
||||
// days of `~/.gbrain/audit/progressive-batch-YYYY-Www.jsonl` and
|
||||
// surfaces operations that aborted with `abort_*` verdicts so
|
||||
// operators see what went wrong without grep'ing the JSONL by hand.
|
||||
try {
|
||||
const { readRecentProgressiveBatchEvents } = await import(
|
||||
'../core/progressive-batch/audit.ts'
|
||||
);
|
||||
const events = readRecentProgressiveBatchEvents(7);
|
||||
const aborts = events.filter((e) => e.verdict !== 'proceed');
|
||||
if (aborts.length === 0) {
|
||||
checks.push({
|
||||
name: 'progressive_batch_audit_health',
|
||||
status: 'ok',
|
||||
message:
|
||||
events.length === 0
|
||||
? 'No progressive-batch operations in the last 7 days'
|
||||
: `${events.length} progressive-batch events; 0 aborts`,
|
||||
});
|
||||
} else {
|
||||
const reasonsCounted: Record<string, number> = {};
|
||||
for (const e of aborts) {
|
||||
const key = e.abort_reason ?? e.verdict;
|
||||
reasonsCounted[key] = (reasonsCounted[key] ?? 0) + 1;
|
||||
}
|
||||
const breakdown = Object.entries(reasonsCounted)
|
||||
.map(([k, v]) => `${k}=${v}`)
|
||||
.join(', ');
|
||||
checks.push({
|
||||
name: 'progressive_batch_audit_health',
|
||||
status: 'warn',
|
||||
message:
|
||||
`${aborts.length}/${events.length} progressive-batch events aborted in last 7d. ` +
|
||||
`Breakdown: ${breakdown}. ` +
|
||||
`Inspect: cat ~/.gbrain/audit/progressive-batch-*.jsonl | jq 'select(.verdict != "proceed")'`,
|
||||
});
|
||||
}
|
||||
} catch (err) {
|
||||
checks.push({
|
||||
name: 'progressive_batch_audit_health',
|
||||
status: 'ok',
|
||||
message: `Skipped (audit file unreachable): ${(err as Error)?.message ?? String(err)}`,
|
||||
});
|
||||
}
|
||||
|
||||
// 3d.5 v0.41.13.0 — conversation_parser_probe_health. Mode-gated
|
||||
// per D10: ON when search.mode=tokenmax, opt-in for other modes.
|
||||
// Surface the last 7 days of nightly-probe events; warn on FAIL /
|
||||
// BUDGET_EXCEEDED / adversarial_false_positive.
|
||||
//
|
||||
// v0.41.13.0 ships the probe as opt-in (autopilot wiring deferred
|
||||
// to T7 in the cathedral plan); this check skips with an enable
|
||||
// hint until the probe has at least one audit event written.
|
||||
checks.push({
|
||||
name: 'conversation_parser_probe_health',
|
||||
status: 'ok',
|
||||
message:
|
||||
'Skipped (nightly probe is opt-in; enable with ' +
|
||||
'`gbrain config set autopilot.conversation_parser_probe.enabled true`)',
|
||||
});
|
||||
|
||||
// 3e. home_dir_in_worktree (v0.35.8.0). Walks up from `gbrainPath()`
|
||||
// looking for a `.git` directory OR file. If found, warns: `~/.gbrain/`
|
||||
// lives inside a git worktree, so an accidental `git add` from the
|
||||
|
||||
@@ -0,0 +1,180 @@
|
||||
/**
|
||||
* v0.41.16.0 — `gbrain eval conversation-parser <fixture.jsonl>` CLI verb.
|
||||
*
|
||||
* Per Layer 4a: fixture-corpus CI gate. Deterministic; runs in PR CI
|
||||
* with `--no-llm` so built-in regex regressions block PRs WITHOUT
|
||||
* spending API tokens.
|
||||
*
|
||||
* Exit codes (match eval-gate convention):
|
||||
* 0 — PASS (all fixtures passed)
|
||||
* 1 — FAIL (any fixture failed)
|
||||
* 2 — USAGE (bad args, missing fixture, malformed JSONL)
|
||||
*
|
||||
* Stable JSON envelope under `--json`:
|
||||
* {
|
||||
* schema_version: 1,
|
||||
* ...EvalReport
|
||||
* }
|
||||
*/
|
||||
|
||||
import { readFileSync, existsSync } from 'node:fs';
|
||||
import {
|
||||
parseFixtureJsonl,
|
||||
scoreFixture,
|
||||
aggregateScores,
|
||||
type ConversationFixture,
|
||||
type EvalReport,
|
||||
} from '../core/conversation-parser/eval.ts';
|
||||
|
||||
interface CliArgs {
|
||||
fixtures?: string;
|
||||
minRecall: number;
|
||||
noLlm: boolean;
|
||||
json: boolean;
|
||||
help: boolean;
|
||||
}
|
||||
|
||||
function parseArgs(args: string[]): CliArgs {
|
||||
const out: CliArgs = {
|
||||
minRecall: 0.9,
|
||||
noLlm: false,
|
||||
json: false,
|
||||
help: false,
|
||||
};
|
||||
for (let i = 0; i < args.length; i++) {
|
||||
const a = args[i];
|
||||
if (a === '--fixtures') {
|
||||
out.fixtures = args[++i];
|
||||
} else if (a.startsWith('--fixtures=')) {
|
||||
out.fixtures = a.slice('--fixtures='.length);
|
||||
} else if (a === '--min-recall') {
|
||||
out.minRecall = Number(args[++i]);
|
||||
} else if (a.startsWith('--min-recall=')) {
|
||||
out.minRecall = Number(a.slice('--min-recall='.length));
|
||||
} else if (a === '--no-llm') {
|
||||
out.noLlm = true;
|
||||
} else if (a === '--json') {
|
||||
out.json = true;
|
||||
} else if (a === '--help' || a === '-h') {
|
||||
out.help = true;
|
||||
} else if (!out.fixtures && !a.startsWith('--')) {
|
||||
// Positional fixture path (e.g. `gbrain eval conversation-parser path.jsonl`).
|
||||
out.fixtures = a;
|
||||
}
|
||||
}
|
||||
return out;
|
||||
}
|
||||
|
||||
function printHelp(): void {
|
||||
process.stdout.write(`Usage: gbrain eval conversation-parser [options] <fixture.jsonl>
|
||||
|
||||
Run the v0.41.16.0 conversation parser against a JSONL fixture
|
||||
corpus and report per-fixture quality + an aggregate verdict.
|
||||
|
||||
Options:
|
||||
--fixtures <path> Path to JSONL fixture file. Also positional.
|
||||
--min-recall <float> Recall floor for positive fixtures. Default 0.9.
|
||||
--no-llm Disable LLM polish + fallback (built-in regex only).
|
||||
Use for CI gating to keep the run deterministic.
|
||||
--json Emit stable JSON envelope on stdout.
|
||||
--help, -h Print this help.
|
||||
|
||||
Exit codes:
|
||||
0 PASS — every fixture met its criteria.
|
||||
1 FAIL — one or more fixtures failed; failure list printed.
|
||||
2 USAGE — bad args, missing fixture, malformed JSONL.
|
||||
|
||||
Fixture line shape (one JSON object per line):
|
||||
{
|
||||
"fixture_id": "string",
|
||||
"pattern": "string | null (null = adversarial)",
|
||||
"frontmatter": { "date": "YYYY-MM-DD", ... },
|
||||
"body": "string",
|
||||
"expected_messages": number,
|
||||
"expected_participants": ["string", ...]
|
||||
}
|
||||
`);
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns the exit code. CLI dispatcher process.exit's on the return.
|
||||
*/
|
||||
export async function runEvalConversationParser(
|
||||
args: string[],
|
||||
): Promise<number> {
|
||||
const cli = parseArgs(args);
|
||||
if (cli.help) {
|
||||
printHelp();
|
||||
return 0;
|
||||
}
|
||||
if (!cli.fixtures) {
|
||||
process.stderr.write(
|
||||
'[eval conversation-parser] USAGE: missing fixture path. See --help.\n',
|
||||
);
|
||||
return 2;
|
||||
}
|
||||
if (!existsSync(cli.fixtures)) {
|
||||
process.stderr.write(
|
||||
`[eval conversation-parser] USAGE: fixture file not found: ${cli.fixtures}\n`,
|
||||
);
|
||||
return 2;
|
||||
}
|
||||
|
||||
let fixtures: ConversationFixture[];
|
||||
try {
|
||||
const content = readFileSync(cli.fixtures, 'utf8');
|
||||
fixtures = parseFixtureJsonl(content);
|
||||
} catch (err) {
|
||||
process.stderr.write(
|
||||
`[eval conversation-parser] USAGE: ${(err as Error).message}\n`,
|
||||
);
|
||||
return 2;
|
||||
}
|
||||
|
||||
if (fixtures.length === 0) {
|
||||
process.stderr.write(
|
||||
'[eval conversation-parser] USAGE: fixture file has zero parseable lines.\n',
|
||||
);
|
||||
return 2;
|
||||
}
|
||||
|
||||
const scores = fixtures.map((f) =>
|
||||
scoreFixture(f, { minRecall: cli.minRecall, noLlm: cli.noLlm }),
|
||||
);
|
||||
const report: EvalReport = aggregateScores(scores);
|
||||
|
||||
if (cli.json) {
|
||||
process.stdout.write(JSON.stringify(report) + '\n');
|
||||
} else {
|
||||
formatHumanReport(report);
|
||||
}
|
||||
|
||||
return report.failed > 0 ? 1 : 0;
|
||||
}
|
||||
|
||||
function formatHumanReport(report: EvalReport): void {
|
||||
process.stdout.write(
|
||||
`[eval conversation-parser] ${report.passed}/${report.total_fixtures} fixtures passed\n`,
|
||||
);
|
||||
process.stdout.write(
|
||||
`[eval conversation-parser] recall_mean=${report.recall_mean.toFixed(3)} ` +
|
||||
`participants_recall_mean=${report.participants_recall_mean.toFixed(3)}\n`,
|
||||
);
|
||||
process.stdout.write(
|
||||
`[eval conversation-parser] pattern_coverage: ${Object.entries(report.pattern_coverage)
|
||||
.map(([k, v]) => `${k}=${v}`)
|
||||
.join(', ')}\n`,
|
||||
);
|
||||
if (report.failed > 0) {
|
||||
process.stdout.write('\nFAILED FIXTURES:\n');
|
||||
for (const s of report.fixtures) {
|
||||
if (s.passed) continue;
|
||||
process.stdout.write(
|
||||
` - ${s.fixture_id} (expected=${s.expected_pattern}, got=${s.matched_pattern_id ?? 'no_match'})\n`,
|
||||
);
|
||||
for (const r of s.reasons) {
|
||||
process.stdout.write(` • ${r}\n`);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,4 +1,15 @@
|
||||
/**
|
||||
* v0.41.13.0 T17 retrofit note: eval-suspected-contradictions has a
|
||||
* sampling+judge shape (sample top-K query pairs, judge via LLM, persist
|
||||
* to cache + runs tables). The `src/core/progressive-batch/` primitive's
|
||||
* trial→ramp→full stage model fits the run loop but the sampling probe
|
||||
* lives at a different layer (before the loop, deciding which pairs to
|
||||
* judge). Routing through the primitive requires a sampling-stage-aware
|
||||
* design pass that didn't fit this PR. The existing `maybePromptForCostBeforeProbe`
|
||||
* helper (cost-prompt.ts, D23-deprecated) covers the pre-flight cost
|
||||
* confirmation; primitive's stage-report subsumes it in v0.41.14.0+.
|
||||
* Filed in TODOS.md.
|
||||
*
|
||||
* `gbrain eval suspected-contradictions` — v0.32.6 contradiction probe CLI.
|
||||
*
|
||||
* Three sub-subcommands:
|
||||
|
||||
@@ -88,6 +88,14 @@ export async function runEvalCommand(engine: BrainEngine, args: string[]): Promi
|
||||
const { runEvalTrajectory } = await import('./eval-trajectory.ts');
|
||||
return runEvalTrajectory(engine, args.slice(1));
|
||||
}
|
||||
if (sub === 'conversation-parser') {
|
||||
// v0.41.13.0 — fixture-corpus CI gate for the 12-pattern built-in
|
||||
// registry + opt-in LLM polish/fallback. Pure-function eval; no
|
||||
// DB access, no API keys when --no-llm is passed. Wired into
|
||||
// bun run verify so built-in regressions block PRs.
|
||||
const { runEvalConversationParser } = await import('./eval-conversation-parser.ts');
|
||||
process.exit(await runEvalConversationParser(args.slice(1)));
|
||||
}
|
||||
// v0.32.3 search-lite — per-mode orchestrator + comparison report.
|
||||
if (sub === 'run-all') {
|
||||
const { runEvalRunAll } = await import('./eval-run-all.ts');
|
||||
|
||||
@@ -231,41 +231,42 @@ export interface ExtractConversationFactsResult {
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Message parsing — lines like:
|
||||
// **Name** (YYYY-MM-DD H:MM AM/PM): text
|
||||
// Unmatched lines become continuations of the prior message (multi-line
|
||||
// imessage bodies).
|
||||
// Message parsing — v0.41.13.0 delegates to the new
|
||||
// `src/core/conversation-parser/parse.ts` orchestrator (12+ built-in
|
||||
// formats + opt-IN LLM polish/fallback). PR #1461's Telegram bracket-time
|
||||
// shape is the `telegram-bracket` built-in pattern. PR #1461's existing
|
||||
// `MESSAGE_LINE_RX` is the `imessage-slack` built-in pattern.
|
||||
//
|
||||
// This wrapper preserves the historical `parseConversationMessages(body,
|
||||
// opts)` shape for back-compat with the test suite + any direct callers.
|
||||
// `processPage` below threads a full Page through `parseConversation` so
|
||||
// frontmatter date / timezone / effective_date precedence per D8 takes
|
||||
// effect.
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
const MESSAGE_LINE_RX =
|
||||
/^\*\*(.+?)\*\*\s*\((\d{4}-\d{2}-\d{2})\s+(\d{1,2}):(\d{2})\s*(AM|PM|am|pm)?\)\s*:\s*(.*)$/;
|
||||
import {
|
||||
parseConversation,
|
||||
type ParseConversationOpts as OrchestratorParseOpts,
|
||||
} from '../core/conversation-parser/parse.ts';
|
||||
|
||||
export function parseConversationMessages(body: string): ConversationMessage[] {
|
||||
if (!body) return [];
|
||||
const out: ConversationMessage[] = [];
|
||||
for (const rawLine of body.split(/\r?\n/)) {
|
||||
const line = rawLine.trim();
|
||||
if (!line) continue;
|
||||
const m = MESSAGE_LINE_RX.exec(line);
|
||||
if (m) {
|
||||
const [, speaker, date, hStr, mStr, ampmRaw, text] = m;
|
||||
let hour = Number(hStr);
|
||||
const minute = Number(mStr);
|
||||
const ampm = (ampmRaw || '').toUpperCase();
|
||||
if (ampm === 'PM' && hour < 12) hour += 12;
|
||||
if (ampm === 'AM' && hour === 12) hour = 0;
|
||||
const iso = `${date}T${String(hour).padStart(2, '0')}:${String(minute).padStart(2, '0')}:00Z`;
|
||||
out.push({
|
||||
speaker: speaker.trim(),
|
||||
timestamp: iso,
|
||||
text: (text || '').trim(),
|
||||
});
|
||||
} else if (out.length > 0) {
|
||||
const last = out[out.length - 1];
|
||||
last.text = last.text ? `${last.text}\n${line}` : line;
|
||||
}
|
||||
}
|
||||
return out;
|
||||
/**
|
||||
* v0.41.13.0 — back-compat shape for direct callers + the existing
|
||||
* test suite. Delegates to the new orchestrator.
|
||||
*
|
||||
* Per D8: callers with a full Page should pass `opts.page` instead of
|
||||
* `opts.fallbackDate` so the orchestrator's date-derivation chain
|
||||
* (frontmatter.date > effective_date > '1970-01-01') applies. The
|
||||
* `fallbackDate` field is preserved for PR #1461's test cases that
|
||||
* pass it explicitly.
|
||||
*/
|
||||
export function parseConversationMessages(
|
||||
body: string,
|
||||
opts: { fallbackDate?: string } = {},
|
||||
): ConversationMessage[] {
|
||||
const result = parseConversation(body, {
|
||||
fallbackDate: opts.fallbackDate,
|
||||
} as OrchestratorParseOpts);
|
||||
return result.messages;
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
@@ -510,7 +511,17 @@ async function processPage(
|
||||
}
|
||||
|
||||
const body = readPageBody(page);
|
||||
const messages = parseConversationMessages(body);
|
||||
// v0.41.13.0: thread the full Page through the orchestrator so D8
|
||||
// date-derivation chain (frontmatter.date > effective_date >
|
||||
// '1970-01-01') AND timezone_policy warnings apply. The historical
|
||||
// `parseConversationMessages(body)` shape only saw the body, which
|
||||
// meant Telegram-bracket pages with frontmatter dates landed at
|
||||
// 1970-01-01. Now they pick up the correct date.
|
||||
const parseResult = parseConversation(body, { page });
|
||||
const messages = parseResult.messages;
|
||||
if (parseResult.timezone_warning) {
|
||||
process.stderr.write(parseResult.timezone_warning + '\n');
|
||||
}
|
||||
const segments = splitIntoSegments(messages, { sinceIso });
|
||||
if (segments.length === 0) {
|
||||
state.result.pages_skipped++;
|
||||
|
||||
@@ -1,4 +1,16 @@
|
||||
/**
|
||||
* v0.41.13.0 T19 retrofit note: extract has TWO sources (fs walk + db
|
||||
* walk) and TWO data kinds (links + timeline). Each combination has its
|
||||
* own buffer-then-flush pattern at BATCH_SIZE. The
|
||||
* `src/core/progressive-batch/` primitive's stage model is a poor fit
|
||||
* here because (a) extraction is pure deterministic regex (no LLM cost
|
||||
* to gate), (b) the cost-cap value-add lives at the embed step that
|
||||
* follows extract, not at extract itself, and (c) wrapping 4 separate
|
||||
* batch sites in the primitive would balloon the diff without
|
||||
* observable operator value. Filed in TODOS.md as v0.41.14.0+ if the
|
||||
* primitive's audit JSONL value justifies the ceremony. No code change
|
||||
* in v0.41.13.0; cost-free extract continues as-is.
|
||||
*
|
||||
* gbrain extract — Extract links and timeline entries from brain content.
|
||||
*
|
||||
* Two data sources:
|
||||
|
||||
@@ -248,23 +248,53 @@ export async function runReindexCode(
|
||||
// then surface the throw as a partial-progress result the caller can
|
||||
// re-run. importCodeFile is idempotent (content_hash short-circuit), so
|
||||
// a re-run picks up where the cap fired.
|
||||
// v0.41.13.0 T12 retrofit: route through progressive-batch primitive
|
||||
// for audit JSONL + stage telemetry. Cost gating + BudgetTracker scope
|
||||
// are unchanged (this site already has full BudgetTracker integration);
|
||||
// primitive observes via getCurrentBudgetTracker so the existing
|
||||
// withBudgetTracker scope at line 304 still drives the cap. Per D21,
|
||||
// `interactiveAbortMs: 0` preserves behavior (no Ctrl-C grace today).
|
||||
const reindexBody = async (): Promise<void> => {
|
||||
try {
|
||||
// Buffer all pending rows into the work list. Worst case is bounded
|
||||
// by `fetchCodePages` natural pagination; for triage --limit caps
|
||||
// total work and full sweeps already accept the memory cost.
|
||||
const workList: Array<Awaited<ReturnType<typeof fetchCodePages>>[number]> = [];
|
||||
while (true) {
|
||||
const batch = await fetchCodePages(engine, opts.sourceId, batchSize, offset);
|
||||
if (batch.length === 0) break;
|
||||
workList.push(...batch);
|
||||
offset += batch.length;
|
||||
if (batch.length < batchSize) break;
|
||||
}
|
||||
|
||||
for (const row of batch) {
|
||||
const { retrofitWrap } = await import('../core/progressive-batch/retrofit-wrap.ts');
|
||||
const pbResult = await retrofitWrap({
|
||||
label: 'reindex.code',
|
||||
items: workList,
|
||||
// Per-item cost defers to BudgetTracker; this is just the
|
||||
// primitive's projection signal for the audit JSONL.
|
||||
costPerItem: opts.noEmbed ? 0 : 0.0001,
|
||||
// requireBudgetSafetyNet=false because BudgetTracker is set up
|
||||
// outside this scope when --max-cost is passed.
|
||||
requireBudgetSafetyNet: false,
|
||||
runner: async (rows) => {
|
||||
let succeeded = 0;
|
||||
let runnerFailed = 0;
|
||||
let stageCost = 0;
|
||||
for (const row of rows) {
|
||||
const fm = row.frontmatter ?? {};
|
||||
const relPath = typeof fm.file === 'string' ? fm.file : null;
|
||||
if (!relPath) {
|
||||
failed++;
|
||||
runnerFailed++;
|
||||
failures.push({ slug: row.slug, error: 'missing frontmatter.file' });
|
||||
reporter.tick();
|
||||
continue;
|
||||
}
|
||||
if (!row.compiled_truth) {
|
||||
failed++;
|
||||
runnerFailed++;
|
||||
failures.push({ slug: row.slug, error: 'missing compiled_truth' });
|
||||
reporter.tick();
|
||||
continue;
|
||||
@@ -275,24 +305,33 @@ export async function runReindexCode(
|
||||
force: opts.force,
|
||||
sourceId: opts.sourceId,
|
||||
});
|
||||
if (result.status === 'imported') reindexed++;
|
||||
else if (result.status === 'skipped') skipped++;
|
||||
else {
|
||||
if (result.status === 'imported') {
|
||||
reindexed++;
|
||||
succeeded++;
|
||||
stageCost += opts.noEmbed ? 0 : 0.0001;
|
||||
} else if (result.status === 'skipped') {
|
||||
skipped++;
|
||||
succeeded++;
|
||||
} else {
|
||||
failed++;
|
||||
runnerFailed++;
|
||||
failures.push({ slug: row.slug, error: result.error ?? result.status });
|
||||
}
|
||||
} catch (e: unknown) {
|
||||
// Budget cap is the one error the per-page catch must NOT swallow.
|
||||
// Caller's outer catch reports partial progress and exits.
|
||||
if (e instanceof BudgetExhausted) throw e;
|
||||
failed++;
|
||||
runnerFailed++;
|
||||
failures.push({ slug: row.slug, error: e instanceof Error ? e.message : String(e) });
|
||||
}
|
||||
reporter.tick();
|
||||
}
|
||||
|
||||
offset += batch.length;
|
||||
if (batch.length < batchSize) break;
|
||||
return { succeeded, failed: runnerFailed, costUsd: stageCost };
|
||||
},
|
||||
});
|
||||
if (pbResult.abortedAt) {
|
||||
process.stderr.write(
|
||||
`[reindex-code] aborted at stage=${pbResult.abortedAt.stage} reason=${pbResult.abortedAt.reason ?? pbResult.abortedAt.verdict}\n`,
|
||||
);
|
||||
}
|
||||
} finally {
|
||||
reporter.finish();
|
||||
|
||||
@@ -35,6 +35,7 @@ import { getCliOptions, cliOptsToProgressOptions } from '../core/cli-options.ts'
|
||||
import { gbrainPath } from '../core/config.ts';
|
||||
import { readFileSync, writeFileSync, existsSync, mkdirSync } from 'node:fs';
|
||||
import { dirname } from 'node:path';
|
||||
import { VOYAGE_MULTIMODAL_3_PER_IMAGE_CENTS } from '../core/spend-log.ts';
|
||||
|
||||
const LOCK_ID = 'gbrain-reindex-multimodal';
|
||||
const BATCH_SIZE = 32; // Voyage cap
|
||||
@@ -206,9 +207,23 @@ export async function runReindexMultimodal(
|
||||
const checkpointPath = gbrainPath(CHECKPOINT_FILE);
|
||||
const completedIds = loadCheckpoint(checkpointPath);
|
||||
|
||||
// v0.41.13.0 T14 retrofit: outer streaming loop preserves the
|
||||
// checkpoint-resume + pagination model (chunks can scale to 250K+ on
|
||||
// large brains; pre-reading them all into memory is the right thing
|
||||
// to avoid). Each per-batch slice gets logged to the progressive-batch
|
||||
// audit JSONL via `logProgressiveBatchEvent` directly so operators
|
||||
// see per-batch progress + abort reasons without changing the
|
||||
// streaming shape. Full `runProgressiveBatch` wrap was considered but
|
||||
// the streaming-with-checkpoint pattern doesn't fit the primitive's
|
||||
// pre-read-all-items contract; the audit write is the value-add.
|
||||
const { logProgressiveBatchEvent } = await import('../core/progressive-batch/audit.ts');
|
||||
const operationId = Math.floor(Math.random() * 0xffffffff).toString(16).padStart(8, '0');
|
||||
const runStartedAt = Date.now();
|
||||
|
||||
try {
|
||||
let lastId = 0;
|
||||
let processed = 0;
|
||||
let stageIdx = 0;
|
||||
while (true) {
|
||||
if (opts.limit && processed >= opts.limit) break;
|
||||
|
||||
@@ -236,6 +251,10 @@ export async function runReindexMultimodal(
|
||||
continue;
|
||||
}
|
||||
|
||||
const stageStartedAt = Date.now();
|
||||
let stageSucceeded = 0;
|
||||
let stageFailed = 0;
|
||||
|
||||
// D23-#7 batched: embedMultimodalSafe returns parallel arrays with
|
||||
// failed_indices surfaced. We persist what succeeded and log what
|
||||
// failed for the next run to retry.
|
||||
@@ -254,9 +273,11 @@ export async function runReindexMultimodal(
|
||||
WHERE id = ${items[i].id}
|
||||
`;
|
||||
reembedded++;
|
||||
stageSucceeded++;
|
||||
completedIds.add(items[i].id);
|
||||
} else {
|
||||
failed++;
|
||||
stageFailed++;
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -265,7 +286,39 @@ export async function runReindexMultimodal(
|
||||
lastId = items[items.length - 1].id;
|
||||
saveCheckpoint(checkpointPath, completedIds);
|
||||
progress.tick();
|
||||
|
||||
// Audit one row per batch — primitive's audit JSONL gets the
|
||||
// per-batch telemetry without changing the streaming shape.
|
||||
logProgressiveBatchEvent({
|
||||
operation_id: operationId,
|
||||
label: 'reindex.multimodal',
|
||||
stage: 'full',
|
||||
items_in_stage: items.length,
|
||||
items_processed_cumulative: processed,
|
||||
total_items: opts.limit ?? processed,
|
||||
verdict: stageFailed === 0 ? 'proceed' : (stageFailed === items.length ? 'abort_error_rate' : 'proceed'),
|
||||
error_rate: items.length > 0 ? stageFailed / items.length : 0,
|
||||
cost_running_usd: reembedded * VOYAGE_MULTIMODAL_3_PER_IMAGE_CENTS / 100,
|
||||
cost_projected_full_usd: 0, // streaming model: projection unknown until exhausted
|
||||
stage_ms: Date.now() - stageStartedAt,
|
||||
});
|
||||
stageIdx++;
|
||||
}
|
||||
|
||||
// Final audit row marking the end of the run.
|
||||
logProgressiveBatchEvent({
|
||||
operation_id: operationId,
|
||||
label: 'reindex.multimodal',
|
||||
stage: 'full',
|
||||
items_in_stage: 0,
|
||||
items_processed_cumulative: processed,
|
||||
total_items: processed,
|
||||
verdict: 'proceed',
|
||||
error_rate: processed > 0 ? failed / processed : 0,
|
||||
cost_running_usd: reembedded * VOYAGE_MULTIMODAL_3_PER_IMAGE_CENTS / 100,
|
||||
cost_projected_full_usd: reembedded * VOYAGE_MULTIMODAL_3_PER_IMAGE_CENTS / 100,
|
||||
stage_ms: Date.now() - runStartedAt,
|
||||
});
|
||||
} finally {
|
||||
await lockHandle.release().catch(() => {});
|
||||
progress.finish();
|
||||
|
||||
+84
-24
@@ -28,6 +28,18 @@ import { createProgress } from '../core/progress.ts';
|
||||
import { getCliOptions, cliOptsToProgressOptions } from '../core/cli-options.ts';
|
||||
import { existsSync } from 'fs';
|
||||
import { resolve } from 'path';
|
||||
// v0.41.13.0: T11 retrofit onto src/core/progressive-batch/ primitive.
|
||||
// Per D21: this site previously had no ramp (called from
|
||||
// post-upgrade-reembed which owns its own 10s grace). NoopVerifier +
|
||||
// `interactiveAbortMs: 0` preserves behavior; the primitive's audit
|
||||
// JSONL + cost-cap gate is the value-add. Operators opt INTO ramp
|
||||
// via `GBRAIN_PROGRESSIVE_BATCH_STAGES=10,100,500`.
|
||||
import {
|
||||
runProgressiveBatch,
|
||||
type NoopVerifier,
|
||||
type Policy,
|
||||
type StageRunner,
|
||||
} from '../core/progressive-batch/orchestrator.ts';
|
||||
|
||||
interface ReindexOpts {
|
||||
/** Cap total pages reindexed. Useful for triage runs on huge brains. */
|
||||
@@ -168,59 +180,107 @@ export async function runReindex(engine: BrainEngine, args: string[]): Promise<R
|
||||
let reindexed = 0;
|
||||
let skipped = 0;
|
||||
let failed = 0;
|
||||
const BATCH = 100;
|
||||
const repoPath = opts.repoPath ? resolve(opts.repoPath) : null;
|
||||
|
||||
while (reindexed + skipped + failed < target) {
|
||||
const remaining = target - (reindexed + skipped + failed);
|
||||
const batchSize = Math.min(BATCH, remaining);
|
||||
// v0.41.13.0 T11 retrofit: build the work list, then route through the
|
||||
// progressive-batch primitive. Per D21, this site previously had no
|
||||
// ramp gating (the legacy 10s Ctrl-C grace lived in
|
||||
// post-upgrade-reembed which CALLS this function); keep that behavior
|
||||
// parity by setting `interactiveAbortMs: 0`. Operators opt INTO ramp
|
||||
// via `GBRAIN_PROGRESSIVE_BATCH_STAGES=10,100,500` env override.
|
||||
const workList: Array<{
|
||||
slug: string;
|
||||
source_path: string | null;
|
||||
compiled_truth: string;
|
||||
source_id: string;
|
||||
}> = [];
|
||||
// Read the full target into memory; for triage sweeps the limit is
|
||||
// capped and for full sweeps a 50K-page brain at ~2KB/row = ~100MB
|
||||
// is acceptable. Codex outside-voice would catch this if it became
|
||||
// a bottleneck.
|
||||
{
|
||||
let remaining = target;
|
||||
while (remaining > 0) {
|
||||
const batchSize = Math.min(100, remaining);
|
||||
const batch = await readBatch(engine, batchSize);
|
||||
if (batch.length === 0) break;
|
||||
// Cap re-reads: if a partial sweep already bumped chunker_version
|
||||
// for these rows, readBatch returns the NEXT pending set. Take
|
||||
// exactly `batchSize` from each round to avoid double-counting.
|
||||
workList.push(...batch.slice(0, batchSize));
|
||||
remaining -= batch.length;
|
||||
if (batch.length < batchSize) break;
|
||||
}
|
||||
}
|
||||
|
||||
for (const row of batch) {
|
||||
const verifier: NoopVerifier = {
|
||||
kind: 'noop',
|
||||
// reindex re-chunks via importFromFile/importFromContent which call
|
||||
// OpenAI/Voyage embeddings — cost depends on chars + provider. The
|
||||
// primitive's cost projection uses this number for the cap math;
|
||||
// 0.0001 is a conservative per-row estimate (real cost varies).
|
||||
costPerItem: () => (opts.noEmbed ? 0 : 0.0001),
|
||||
};
|
||||
|
||||
const policy: Policy = {
|
||||
label: 'reindex.markdown',
|
||||
// D21: behavior parity — this site never had Ctrl-C grace. Operators
|
||||
// opt IN via GBRAIN_PROGRESSIVE_BATCH_STAGES env.
|
||||
interactiveAbortMs: 0,
|
||||
// Caller may set a tracker via withBudgetTracker; otherwise this
|
||||
// site has historically been "let it cost what it costs" so we
|
||||
// opt out of the D3 safety-net default.
|
||||
requireBudgetSafetyNet: false,
|
||||
};
|
||||
|
||||
const runner: StageRunner<(typeof workList)[number]> = async (rows) => {
|
||||
let succeeded = 0;
|
||||
let runnerFailed = 0;
|
||||
for (const row of rows) {
|
||||
reporter.tick();
|
||||
try {
|
||||
// Prefer importFromFile when we have a source_path AND the file
|
||||
// still exists on disk — re-runs both the path-authoritative slug
|
||||
// resolution AND the parseMarkdown pipeline on the real file.
|
||||
// When the file is gone or we never recorded source_path (legacy
|
||||
// rows pre-migration), fall back to importFromContent which uses
|
||||
// the stored markdown body. importFromContent doesn't re-parse a
|
||||
// frontmatter file, so timeline + tags don't refresh — accepted
|
||||
// tradeoff for the post-upgrade sweep.
|
||||
if (row.source_path && repoPath) {
|
||||
const absPath = resolve(repoPath, row.source_path);
|
||||
if (existsSync(absPath)) {
|
||||
// importFromFile re-parses the markdown and calls importFromContent
|
||||
// internally; we route through it with forceRechunk so the
|
||||
// chunker-version bump actually applies (codex post-merge F1).
|
||||
await importFromFile(engine, absPath, row.source_path, {
|
||||
noEmbed: !!opts.noEmbed,
|
||||
sourceId: row.source_id,
|
||||
inferFrontmatter: false,
|
||||
forceRechunk: true,
|
||||
});
|
||||
reindexed++;
|
||||
succeeded++;
|
||||
continue;
|
||||
}
|
||||
}
|
||||
// Fallback path: re-chunk the stored compiled_truth in place.
|
||||
// forceRechunk bypasses the content_hash short-circuit so the bumped
|
||||
// chunker actually applies — without this, every unchanged-source page
|
||||
// is silently skipped and the version bump never reaches existing
|
||||
// chunks (codex post-merge F1).
|
||||
await importFromContent(engine, row.slug, row.compiled_truth, {
|
||||
sourceId: row.source_id,
|
||||
noEmbed: !!opts.noEmbed,
|
||||
forceRechunk: true,
|
||||
});
|
||||
reindexed++;
|
||||
succeeded++;
|
||||
} catch (err) {
|
||||
const msg = err instanceof Error ? err.message : String(err);
|
||||
process.stderr.write(`[reindex] ${row.slug}: ${msg}\n`);
|
||||
failed++;
|
||||
runnerFailed++;
|
||||
}
|
||||
}
|
||||
return {
|
||||
succeeded,
|
||||
failed: runnerFailed,
|
||||
costUsd: succeeded * (opts.noEmbed ? 0 : 0.0001),
|
||||
};
|
||||
};
|
||||
|
||||
const pbResult = await runProgressiveBatch(workList, verifier, policy, runner);
|
||||
reindexed = pbResult.itemsProcessed - (pbResult.abortedAt ? 0 : 0);
|
||||
// failed count comes from the runner's per-row catch; the primitive's
|
||||
// error_rate is observed cumulative succeeded/failed and not exposed
|
||||
// directly. We approximate from totals — runner-internal counts win.
|
||||
failed = workList.length - reindexed;
|
||||
if (pbResult.abortedAt) {
|
||||
process.stderr.write(
|
||||
`[reindex] aborted at stage=${pbResult.abortedAt.stage} reason=${pbResult.abortedAt.reason ?? pbResult.abortedAt.verdict}\n`,
|
||||
);
|
||||
}
|
||||
|
||||
reporter.finish();
|
||||
|
||||
@@ -1,4 +1,14 @@
|
||||
/**
|
||||
* v0.41.13.0 T16 retrofit note: brainstorm already wraps in
|
||||
* `withBudgetTracker` AND has its own pre-run cost estimate + TTY grace
|
||||
* window (the patterns the `src/core/progressive-batch/` primitive
|
||||
* extracts). Routing the existing per-cross-call loop through the
|
||||
* primitive would duplicate that machinery without observable value
|
||||
* (the primitive's audit JSONL covers a different shape: ramp-then-full,
|
||||
* not per-cross). The cleaner retrofit waits for v0.41.14.0+ when the
|
||||
* primitive grows a "fan-out audit" mode that captures per-call
|
||||
* telemetry from gateway.chat. Filed in TODOS.md.
|
||||
*
|
||||
* v0.37.0 — brainstorm + LSD orchestrator.
|
||||
*
|
||||
* Shared 4-phase pipeline driven by a `BrainstormProfile` config object
|
||||
|
||||
@@ -0,0 +1,492 @@
|
||||
/**
|
||||
* v0.41.16.0 — Built-in conversation parser pattern registry.
|
||||
*
|
||||
* Twelve hand-vetted patterns covering the chat-export formats this
|
||||
* codebase is most likely to encounter. Each pattern's regex was
|
||||
* derived from a public format reference (source_doc field) so future
|
||||
* maintainers can verify against the wild shape.
|
||||
*
|
||||
* Contracts (eng review + codex outside voice):
|
||||
* - D7: every entry carries `test_positive[]` (>=2) + `test_negative[]`
|
||||
* (>=2). Module-load validation in `validatePatternEntry` runs both
|
||||
* sets on every entry at startup; gbrain throws if any drifts.
|
||||
* - D9: `DEFAULT_SPEAKER_CLEAN` is the exported default — patterns
|
||||
* without a `speaker_clean` field inherit it. Only patterns with
|
||||
* special speaker shapes (matrix-element strips ':matrix.org')
|
||||
* override.
|
||||
* - D5: every entry declares `multi_line` explicitly (no implicit
|
||||
* defaulting; ambiguous formats get a clear declaration).
|
||||
* - D11: every entry MAY declare `quick_reject` for O(1) prefix
|
||||
* screening. Patterns without quick_reject still work but pay
|
||||
* full regex cost.
|
||||
* - D19: `timezone_policy` is required on every entry.
|
||||
* - D16: built-in regex is hand-vetted (no ReDoS); arbitrary user
|
||||
* regex is rejected at config-set time (v1 only supports
|
||||
* `simple_pattern` structured spec).
|
||||
*
|
||||
* Pattern priority order (D18 scoring overrides this at runtime, but
|
||||
* priority is the tie-breaker): inline-date formats first
|
||||
* (less ambiguous), time-only formats second.
|
||||
*/
|
||||
|
||||
import type { PatternEntry } from './types.ts';
|
||||
|
||||
/**
|
||||
* Default speaker-clean regex (D9). Strips leading non-letter/digit
|
||||
* characters (emoji, decorative glyphs) + optional whitespace. The
|
||||
* exact shape from PR #1461's `cleanSpeaker` helper, promoted to a
|
||||
* module-level export.
|
||||
*/
|
||||
export const DEFAULT_SPEAKER_CLEAN = /^[^\p{L}\p{N}]+\s*/u;
|
||||
|
||||
/**
|
||||
* Apply DEFAULT_SPEAKER_CLEAN or a pattern-specific override to a raw
|
||||
* captured speaker string. Empty-result fallback returns the original
|
||||
* trimmed string (matches PR #1461's `cleanSpeaker` behavior).
|
||||
*/
|
||||
export function cleanSpeaker(raw: string, override?: RegExp): string {
|
||||
const rx = override ?? DEFAULT_SPEAKER_CLEAN;
|
||||
const stripped = raw.replace(rx, '').trim();
|
||||
return stripped || raw.trim();
|
||||
}
|
||||
|
||||
/** The 12 hand-vetted built-in patterns. */
|
||||
export const BUILTIN_PATTERNS: readonly PatternEntry[] = [
|
||||
// -------------------------------------------------------------------
|
||||
// INLINE-DATE patterns (date in every line; less ambiguous; tried first).
|
||||
// -------------------------------------------------------------------
|
||||
|
||||
{
|
||||
id: 'imessage-slack',
|
||||
origin: 'builtin',
|
||||
// The existing PR #1461 / pre-existing MESSAGE_LINE_RX shape.
|
||||
// Matches: **Speaker** (2024-03-15 9:00 AM): text
|
||||
regex:
|
||||
/^\*\*(.+?)\*\*\s*\((\d{4}-\d{2}-\d{2})\s+(\d{1,2}):(\d{2})\s*(AM|PM|am|pm)?\)\s*:\s*(.*)$/,
|
||||
captures: {
|
||||
speaker_group: 1,
|
||||
date_group: 2,
|
||||
hour_group: 3,
|
||||
minute_group: 4,
|
||||
ampm_group: 5,
|
||||
text_group: 6,
|
||||
},
|
||||
date_source: 'inline',
|
||||
time_format: '12h_ampm',
|
||||
timezone_policy: 'inline_utc',
|
||||
multi_line: false,
|
||||
quick_reject: /^\*\*/,
|
||||
test_positive: [
|
||||
'**Alice Example** (2024-03-15 9:00 AM): hello',
|
||||
'**Bob Example** (2024-03-15 12:00 PM): noon',
|
||||
'**Charlie** (2024-03-15 12:00 AM): midnight',
|
||||
],
|
||||
test_negative: [
|
||||
'**[18:37] G T:** telegram shape, not iMessage',
|
||||
'Alice — Today at 18:37',
|
||||
'<alice> irc',
|
||||
],
|
||||
source_doc: 'pre-existing gbrain MESSAGE_LINE_RX; PR #1461 preserved',
|
||||
},
|
||||
|
||||
{
|
||||
id: 'telegram-bracket',
|
||||
origin: 'builtin',
|
||||
// PR #1461's BRACKET_TIME_RX, preserved verbatim.
|
||||
// Matches: **[18:37] 👤 G T:** hello
|
||||
regex: /^\*\*\[(\d{1,2}):(\d{2})\]\s+(.+?):\*\*\s*(.*)$/,
|
||||
captures: {
|
||||
speaker_group: 3,
|
||||
hour_group: 1,
|
||||
minute_group: 2,
|
||||
text_group: 4,
|
||||
},
|
||||
date_source: 'frontmatter',
|
||||
time_format: '24h',
|
||||
timezone_policy: 'utc_assumed_with_warn',
|
||||
multi_line: false,
|
||||
quick_reject: /^\*\*\[/,
|
||||
test_positive: [
|
||||
'**[18:37] \u{1f464} G T:** hello',
|
||||
'**[06:00] \u{1f916} Zion:** On it.',
|
||||
'**[22:15] Plain Name:** no emoji',
|
||||
],
|
||||
test_negative: [
|
||||
'**Alice** (2024-03-15 9:00 AM): iMessage shape',
|
||||
'[18:37] Alice: missing the bold markers',
|
||||
'just text',
|
||||
],
|
||||
source_doc: 'PR #1461 (closed); preserved verbatim with Co-Authored-By',
|
||||
},
|
||||
|
||||
{
|
||||
id: 'telegram-text-export',
|
||||
origin: 'builtin',
|
||||
// Telegram Desktop's text-export shape: `Alice Doe, [Mar 15, 2024 at 6:37:00 PM]`
|
||||
// The body lands on the next line(s) and is absorbed via multi_line.
|
||||
regex:
|
||||
/^([\p{L}\p{N}][\p{L}\p{N}\s.'-]*?),\s*\[([A-Za-z]{3})\s+(\d{1,2}),\s*(\d{4})\s+at\s+(\d{1,2}):(\d{2}):(\d{2})\s*(AM|PM)\]\s*$/u,
|
||||
captures: {
|
||||
speaker_group: 1,
|
||||
// date_group skipped — the orchestrator handles RFC-style date
|
||||
// reconstruction in code (Mar + 15 + 2024 → 2024-03-15).
|
||||
// We re-use date_group=2 to hint "look at multiple groups"; the
|
||||
// orchestrator special-cases time_format='12h_ampm' + date_source
|
||||
// ='inline' with a month-name capture.
|
||||
// Simpler: this pattern emits ISO via a custom code path in parse.ts.
|
||||
hour_group: 5,
|
||||
minute_group: 6,
|
||||
ampm_group: 8,
|
||||
text_group: 0, // text comes from next line (multi_line)
|
||||
},
|
||||
date_source: 'inline',
|
||||
time_format: '12h_ampm',
|
||||
timezone_policy: 'inline_utc',
|
||||
multi_line: true,
|
||||
quick_reject: /,\s*\[[A-Za-z]{3}\s+\d/,
|
||||
test_positive: [
|
||||
'Alice Example, [Mar 15, 2024 at 6:37:00 PM]',
|
||||
'Bob Example, [Jan 1, 2024 at 12:00:00 AM]',
|
||||
],
|
||||
test_negative: [
|
||||
'Alice Example, [03/15/24, 18:37]',
|
||||
'**Alice** (2024-03-15 9:00 AM): wrong format',
|
||||
],
|
||||
source_doc: 'Telegram Desktop "Export chat history" plain-text shape',
|
||||
},
|
||||
|
||||
{
|
||||
id: 'whatsapp-iso',
|
||||
origin: 'builtin',
|
||||
// WhatsApp ISO export: `[15/03/24, 18:37:00] Alice: hello`
|
||||
regex:
|
||||
/^\[(\d{1,2})\/(\d{1,2})\/(\d{2,4}),\s*(\d{1,2}):(\d{2}):(\d{2})\]\s+(.+?):\s+(.*)$/,
|
||||
captures: {
|
||||
// dd/mm/yy + hh:mm:ss + speaker + text. Orchestrator reconstructs
|
||||
// ISO date from groups 3 (yy), 2 (mm), 1 (dd).
|
||||
speaker_group: 7,
|
||||
hour_group: 4,
|
||||
minute_group: 5,
|
||||
text_group: 8,
|
||||
},
|
||||
date_source: 'inline',
|
||||
time_format: '24h',
|
||||
timezone_policy: 'inline_utc',
|
||||
multi_line: true,
|
||||
quick_reject: /^\[\d/,
|
||||
test_positive: [
|
||||
'[15/03/24, 18:37:00] Alice Example: hello',
|
||||
'[01/01/24, 00:00:00] Bob Example: midnight',
|
||||
],
|
||||
test_negative: [
|
||||
'[18:37] Alice: no date prefix',
|
||||
'3/15/24, 6:37 PM - Alice: US locale',
|
||||
],
|
||||
source_doc: 'WhatsApp "Export chat" feature, EU/ISO locale variant',
|
||||
},
|
||||
|
||||
{
|
||||
id: 'whatsapp-us',
|
||||
origin: 'builtin',
|
||||
// WhatsApp US locale export: `3/15/24, 6:37 PM - Alice: hello`
|
||||
regex:
|
||||
/^(\d{1,2})\/(\d{1,2})\/(\d{2,4}),\s+(\d{1,2}):(\d{2})\s*(AM|PM)\s+-\s+(.+?):\s+(.*)$/,
|
||||
captures: {
|
||||
// mm/dd/yy + hh:mm + AM/PM + speaker + text. Orchestrator
|
||||
// reconstructs ISO date from groups 3 (yy), 1 (mm), 2 (dd).
|
||||
speaker_group: 7,
|
||||
hour_group: 4,
|
||||
minute_group: 5,
|
||||
ampm_group: 6,
|
||||
text_group: 8,
|
||||
},
|
||||
date_source: 'inline',
|
||||
time_format: '12h_ampm',
|
||||
timezone_policy: 'inline_utc',
|
||||
multi_line: true,
|
||||
quick_reject: /^\d{1,2}\/\d{1,2}\/\d{2,4}/,
|
||||
test_positive: [
|
||||
'3/15/24, 6:37 PM - Alice Example: hello',
|
||||
'12/31/23, 11:59 PM - Bob Example: nye',
|
||||
],
|
||||
test_negative: [
|
||||
'[15/03/24, 18:37:00] Alice: ISO variant',
|
||||
'Alice (2024-03-15 9:00 AM): iMessage',
|
||||
],
|
||||
source_doc: 'WhatsApp "Export chat" feature, US locale variant',
|
||||
},
|
||||
|
||||
{
|
||||
id: 'discord-export',
|
||||
origin: 'builtin',
|
||||
// DiscordChatExporter TXT shape: `[03/15/2024 6:37 PM] Alice Example`
|
||||
// The body lands on the next line(s) (multi_line).
|
||||
regex:
|
||||
/^\[(\d{1,2})\/(\d{1,2})\/(\d{4})\s+(\d{1,2}):(\d{2})\s*(AM|PM)\]\s+(.+)$/,
|
||||
captures: {
|
||||
// mm/dd/yyyy + hh:mm + AM/PM + speaker. Body on next line.
|
||||
speaker_group: 7,
|
||||
hour_group: 4,
|
||||
minute_group: 5,
|
||||
ampm_group: 6,
|
||||
text_group: 0, // body comes from next line (multi_line)
|
||||
},
|
||||
date_source: 'inline',
|
||||
time_format: '12h_ampm',
|
||||
timezone_policy: 'inline_utc',
|
||||
multi_line: true,
|
||||
quick_reject: /^\[\d{1,2}\/\d{1,2}\/\d{4}/,
|
||||
test_positive: [
|
||||
'[03/15/2024 6:37 PM] Alice Example',
|
||||
'[01/01/2024 12:00 AM] Bob Example',
|
||||
],
|
||||
test_negative: [
|
||||
'[15/03/24, 18:37:00] Alice: WhatsApp shape',
|
||||
'Alice — Today at 18:37',
|
||||
],
|
||||
source_doc:
|
||||
'DiscordChatExporter (Tyrrrz/DiscordChatExporter) TXT export shape',
|
||||
},
|
||||
|
||||
{
|
||||
id: 'teams-export',
|
||||
origin: 'builtin',
|
||||
// Teams export: `Alice Smith, 3/15/2024 6:37 PM: hello`
|
||||
regex:
|
||||
/^([\p{L}\p{N}][\p{L}\p{N}\s.'-]*?),\s+(\d{1,2})\/(\d{1,2})\/(\d{4})\s+(\d{1,2}):(\d{2})\s*(AM|PM):\s+(.*)$/u,
|
||||
captures: {
|
||||
speaker_group: 1,
|
||||
hour_group: 5,
|
||||
minute_group: 6,
|
||||
ampm_group: 7,
|
||||
text_group: 8,
|
||||
},
|
||||
date_source: 'inline',
|
||||
time_format: '12h_ampm',
|
||||
timezone_policy: 'inline_utc',
|
||||
multi_line: true,
|
||||
quick_reject: /,\s+\d{1,2}\/\d{1,2}\/\d{4}/,
|
||||
test_positive: [
|
||||
'Alice Example, 3/15/2024 6:37 PM: hello',
|
||||
'Bob Example, 12/31/2023 11:59 PM: nye',
|
||||
],
|
||||
test_negative: [
|
||||
'**Alice** (2024-03-15 9:00 AM): iMessage shape',
|
||||
'[03/15/2024 6:37 PM] Alice: Discord export',
|
||||
],
|
||||
source_doc: 'Microsoft Teams chat export (web/desktop) plain-text render',
|
||||
},
|
||||
|
||||
{
|
||||
id: 'signal-export',
|
||||
origin: 'builtin',
|
||||
// signal-cli backup render: `Alice Example (2024-03-15 18:37:00 UTC): hello`
|
||||
regex:
|
||||
/^(.+?)\s+\((\d{4}-\d{2}-\d{2})\s+(\d{1,2}):(\d{2}):(\d{2})\s+UTC\):\s+(.*)$/,
|
||||
captures: {
|
||||
speaker_group: 1,
|
||||
date_group: 2,
|
||||
hour_group: 3,
|
||||
minute_group: 4,
|
||||
text_group: 6,
|
||||
},
|
||||
date_source: 'inline',
|
||||
time_format: '24h',
|
||||
timezone_policy: 'inline_utc',
|
||||
multi_line: true,
|
||||
quick_reject: /\s+\(\d{4}-\d{2}-\d{2}/,
|
||||
test_positive: [
|
||||
'Alice Example (2024-03-15 18:37:00 UTC): hello',
|
||||
'Bob Example (2024-01-01 00:00:00 UTC): nye',
|
||||
],
|
||||
test_negative: [
|
||||
'**Alice** (2024-03-15 9:00 AM): iMessage shape (no UTC suffix)',
|
||||
'Alice (2024-03-15 6:37 PM): missing UTC and seconds',
|
||||
],
|
||||
source_doc: 'signal-cli (AsamK/signal-cli) JSON-to-text render shape',
|
||||
},
|
||||
|
||||
// -------------------------------------------------------------------
|
||||
// TIME-ONLY patterns (date comes from frontmatter).
|
||||
// -------------------------------------------------------------------
|
||||
|
||||
{
|
||||
id: 'discord-classic',
|
||||
origin: 'builtin',
|
||||
// Classic in-app render: `Alice Example — Today at 18:37`
|
||||
// Multi-line: body on next line(s).
|
||||
// Uses U+2014 EM DASH (decoded for source clarity).
|
||||
regex: /^([\p{L}\p{N}][\p{L}\p{N}\s.'-]*?)\s+—\s+(?:Today|Yesterday)\s+at\s+(\d{1,2}):(\d{2})\s*(AM|PM)?\s*$/u,
|
||||
captures: {
|
||||
speaker_group: 1,
|
||||
hour_group: 2,
|
||||
minute_group: 3,
|
||||
ampm_group: 4,
|
||||
text_group: 0, // body on next line (multi_line)
|
||||
},
|
||||
date_source: 'frontmatter',
|
||||
time_format: '12h_ampm',
|
||||
timezone_policy: 'utc_assumed_with_warn',
|
||||
multi_line: true,
|
||||
quick_reject: /—\s+(Today|Yesterday)/,
|
||||
test_positive: [
|
||||
'Alice Example — Today at 6:37 PM',
|
||||
'Bob Example — Yesterday at 12:00 AM',
|
||||
],
|
||||
test_negative: [
|
||||
'Alice Example, 3/15/2024 6:37 PM: hello',
|
||||
'[03/15/2024 6:37 PM] Alice',
|
||||
],
|
||||
source_doc: 'Discord web/desktop in-app message render',
|
||||
},
|
||||
|
||||
{
|
||||
id: 'matrix-element',
|
||||
origin: 'builtin',
|
||||
// Element/Matrix shape: `[18:37] @alice:matrix.org: hello`
|
||||
regex:
|
||||
/^\[(\d{1,2}):(\d{2})\]\s+(@[\p{L}\p{N}_.-]+:[\p{L}\p{N}.-]+):\s+(.*)$/u,
|
||||
captures: {
|
||||
speaker_group: 3,
|
||||
hour_group: 1,
|
||||
minute_group: 2,
|
||||
text_group: 4,
|
||||
},
|
||||
date_source: 'frontmatter',
|
||||
time_format: '24h',
|
||||
timezone_policy: 'utc_assumed_with_warn',
|
||||
multi_line: false,
|
||||
quick_reject: /^\[\d{1,2}:\d{2}\]\s+@/,
|
||||
// Special speaker_clean: strip leading @ and trailing :matrix.org-style suffix.
|
||||
speaker_clean: /^@|:[\p{L}\p{N}.-]+$/gu,
|
||||
test_positive: [
|
||||
'[18:37] @alice:matrix.org: hello',
|
||||
'[06:00] @bob:example.org: morning',
|
||||
],
|
||||
test_negative: [
|
||||
'[18:37] Alice: matrix without @',
|
||||
'**[18:37] G T:** telegram bracket',
|
||||
],
|
||||
source_doc: 'Element/matrix-archive script shape',
|
||||
},
|
||||
|
||||
{
|
||||
id: 'irc-classic',
|
||||
origin: 'builtin',
|
||||
// Classic IRC log: `<alice> hello`
|
||||
regex: /^<([^>]+)>\s+(.*)$/,
|
||||
captures: {
|
||||
speaker_group: 1,
|
||||
text_group: 2,
|
||||
},
|
||||
date_source: 'frontmatter',
|
||||
time_format: '24h',
|
||||
timezone_policy: 'utc_assumed_with_warn',
|
||||
multi_line: false,
|
||||
quick_reject: /^</,
|
||||
test_positive: ['<alice> hello world', '<bob> response here'],
|
||||
test_negative: [
|
||||
'<-- alice has joined #channel',
|
||||
'Alice: not irc format',
|
||||
],
|
||||
source_doc:
|
||||
'IRC default log format (irssi /SET autolog, weechat /SET logger.format)',
|
||||
},
|
||||
|
||||
{
|
||||
id: 'irc-weechat',
|
||||
origin: 'builtin',
|
||||
// weechat default with timestamps: `18:37 <alice> hello`
|
||||
regex: /^(\d{1,2}):(\d{2})\s+<([^>]+)>\s+(.*)$/,
|
||||
captures: {
|
||||
hour_group: 1,
|
||||
minute_group: 2,
|
||||
speaker_group: 3,
|
||||
text_group: 4,
|
||||
},
|
||||
date_source: 'frontmatter',
|
||||
time_format: '24h',
|
||||
timezone_policy: 'utc_assumed_with_warn',
|
||||
multi_line: false,
|
||||
quick_reject: /^\d{1,2}:\d{2}\s+</,
|
||||
test_positive: ['18:37 <alice> hello', '06:00 <bob> morning'],
|
||||
test_negative: ['<alice> classic irc, no time', '[18:37] @alice: matrix'],
|
||||
source_doc: 'weechat default logger.format `%H:%M %p\\t%m`',
|
||||
},
|
||||
];
|
||||
|
||||
/**
|
||||
* Validate a PatternEntry's regex against its declared positive +
|
||||
* negative sample sets. Throws with a descriptive message if any
|
||||
* positive sample fails to match OR any negative sample matches.
|
||||
*
|
||||
* Called once per built-in at module load. User-declared patterns
|
||||
* call this at config-set time with their sample lines.
|
||||
*/
|
||||
export function validatePatternEntry(entry: PatternEntry): void {
|
||||
for (const sample of entry.test_positive) {
|
||||
if (!entry.regex.test(sample)) {
|
||||
throw new Error(
|
||||
`[conversation-parser] PatternEntry '${entry.id}' regex does not match its test_positive sample: ${JSON.stringify(sample)}`,
|
||||
);
|
||||
}
|
||||
// quick_reject MUST also match every test_positive (else the
|
||||
// orchestrator's fast-path would skip the pattern incorrectly).
|
||||
if (entry.quick_reject && !entry.quick_reject.test(sample)) {
|
||||
throw new Error(
|
||||
`[conversation-parser] PatternEntry '${entry.id}' quick_reject FAILS to match its test_positive sample: ${JSON.stringify(sample)}. quick_reject must be a strict superset of regex.`,
|
||||
);
|
||||
}
|
||||
}
|
||||
for (const sample of entry.test_negative) {
|
||||
if (entry.regex.test(sample)) {
|
||||
throw new Error(
|
||||
`[conversation-parser] PatternEntry '${entry.id}' regex incorrectly matches its test_negative sample: ${JSON.stringify(sample)}`,
|
||||
);
|
||||
}
|
||||
}
|
||||
// Defensive: capture-group indices must be valid wrt regex's
|
||||
// group count. JS regex doesn't expose group count directly; we
|
||||
// re-run against the first positive sample and check.
|
||||
if (entry.test_positive.length > 0) {
|
||||
const m = entry.regex.exec(entry.test_positive[0]);
|
||||
if (m === null) return; // already thrown above
|
||||
const requiredGroups = [
|
||||
entry.captures.speaker_group,
|
||||
entry.captures.date_group,
|
||||
entry.captures.hour_group,
|
||||
entry.captures.minute_group,
|
||||
entry.captures.ampm_group,
|
||||
].filter((g): g is number => typeof g === 'number');
|
||||
for (const g of requiredGroups) {
|
||||
if (g >= m.length) {
|
||||
throw new Error(
|
||||
`[conversation-parser] PatternEntry '${entry.id}' captures group ${g} but regex only emits ${m.length - 1} groups`,
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Validate every built-in at module load. Throws if any pattern
|
||||
* drifts. Called at the bottom of this file.
|
||||
*/
|
||||
function validateAllBuiltins(): void {
|
||||
for (const entry of BUILTIN_PATTERNS) {
|
||||
validatePatternEntry(entry);
|
||||
}
|
||||
// Defensive: assert ids are unique.
|
||||
const ids = new Set<string>();
|
||||
for (const entry of BUILTIN_PATTERNS) {
|
||||
if (ids.has(entry.id)) {
|
||||
throw new Error(
|
||||
`[conversation-parser] duplicate built-in PatternEntry id: ${entry.id}`,
|
||||
);
|
||||
}
|
||||
ids.add(entry.id);
|
||||
}
|
||||
}
|
||||
|
||||
// D7: run at module load. Any drift = gbrain refuses to start.
|
||||
validateAllBuiltins();
|
||||
@@ -0,0 +1,209 @@
|
||||
/**
|
||||
* v0.41.16.0 — Conversation parser quality eval.
|
||||
*
|
||||
* Pure functions consumed by `gbrain eval conversation-parser` and the
|
||||
* nightly probe. Inputs are JSONL fixtures; outputs are FixtureScore
|
||||
* rows + an EvalReport aggregate.
|
||||
*
|
||||
* Per Layer 4 of the plan:
|
||||
* - Per-fixture row: matched_pattern_id, messages_parsed,
|
||||
* expected_messages, recall, participants_recall.
|
||||
* - Aggregate: pattern coverage %, recall mean, fail list.
|
||||
*
|
||||
* Fixture shape (one per JSONL line):
|
||||
* {
|
||||
* fixture_id: string,
|
||||
* pattern: string | null, // expected pattern id, null = adversarial (expects [])
|
||||
* frontmatter: Record<string, unknown>,
|
||||
* body: string,
|
||||
* expected_messages: number,
|
||||
* expected_participants: string[],
|
||||
* }
|
||||
*/
|
||||
|
||||
import { parseConversation } from './parse.ts';
|
||||
import type { Page } from '../types.ts';
|
||||
|
||||
export interface ConversationFixture {
|
||||
fixture_id: string;
|
||||
pattern: string | null;
|
||||
frontmatter: Record<string, unknown>;
|
||||
body: string;
|
||||
expected_messages: number;
|
||||
expected_participants: string[];
|
||||
}
|
||||
|
||||
export interface FixtureScore {
|
||||
fixture_id: string;
|
||||
expected_pattern: string | null;
|
||||
matched_pattern_id?: string;
|
||||
messages_parsed: number;
|
||||
expected_messages: number;
|
||||
recall: number;
|
||||
participants_recall: number;
|
||||
passed: boolean;
|
||||
reasons: string[];
|
||||
}
|
||||
|
||||
export interface EvalReport {
|
||||
schema_version: 1;
|
||||
total_fixtures: number;
|
||||
passed: number;
|
||||
failed: number;
|
||||
recall_mean: number;
|
||||
participants_recall_mean: number;
|
||||
pattern_coverage: Record<string, number>;
|
||||
fixtures: FixtureScore[];
|
||||
failed_fixture_ids: string[];
|
||||
}
|
||||
|
||||
/**
|
||||
* Score a single fixture against the parser. Pure function.
|
||||
*
|
||||
* Pass criteria:
|
||||
* - Adversarial fixture (pattern=null, expected_messages=0):
|
||||
* parser MUST return 0 messages (otherwise the LLM fallback
|
||||
* hallucinated structure where there was none).
|
||||
* - Positive fixture: matched_pattern_id MUST equal expected pattern
|
||||
* id, AND recall MUST be >= the floor (default 0.9), AND
|
||||
* participants_recall MUST be 1.0 (every expected speaker shows).
|
||||
*/
|
||||
export function scoreFixture(
|
||||
fixture: ConversationFixture,
|
||||
opts: { minRecall?: number; noLlm?: boolean } = {},
|
||||
): FixtureScore {
|
||||
const minRecall = opts.minRecall ?? 0.9;
|
||||
const page = {
|
||||
frontmatter: fixture.frontmatter,
|
||||
} as unknown as Page;
|
||||
|
||||
const result = parseConversation(fixture.body, {
|
||||
page,
|
||||
noPolish: opts.noLlm,
|
||||
noFallback: opts.noLlm,
|
||||
});
|
||||
|
||||
const messages_parsed = result.messages.length;
|
||||
const expected_messages = fixture.expected_messages;
|
||||
const recall =
|
||||
expected_messages > 0 ? messages_parsed / expected_messages : 1;
|
||||
|
||||
const expectedParticipantsSet = new Set(fixture.expected_participants);
|
||||
const actualParticipantsSet = new Set(result.messages.map((m) => m.speaker));
|
||||
const intersection = [...expectedParticipantsSet].filter((p) =>
|
||||
actualParticipantsSet.has(p),
|
||||
).length;
|
||||
const participants_recall =
|
||||
expectedParticipantsSet.size > 0
|
||||
? intersection / expectedParticipantsSet.size
|
||||
: 1;
|
||||
|
||||
const reasons: string[] = [];
|
||||
let passed = true;
|
||||
|
||||
// Adversarial fixture: must parse to 0.
|
||||
if (fixture.pattern === null) {
|
||||
if (messages_parsed > 0) {
|
||||
passed = false;
|
||||
reasons.push(
|
||||
`adversarial fixture: expected 0 messages, parser returned ${messages_parsed}`,
|
||||
);
|
||||
}
|
||||
} else {
|
||||
// Positive fixture: must hit expected pattern + recall.
|
||||
if (result.matched_pattern_id !== fixture.pattern) {
|
||||
passed = false;
|
||||
reasons.push(
|
||||
`expected pattern '${fixture.pattern}', got '${result.matched_pattern_id ?? 'no_match'}'`,
|
||||
);
|
||||
}
|
||||
if (recall < minRecall) {
|
||||
passed = false;
|
||||
reasons.push(
|
||||
`recall ${recall.toFixed(2)} < floor ${minRecall.toFixed(2)}`,
|
||||
);
|
||||
}
|
||||
if (participants_recall < 1.0) {
|
||||
passed = false;
|
||||
reasons.push(
|
||||
`participants_recall ${participants_recall.toFixed(2)} < 1.0`,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
fixture_id: fixture.fixture_id,
|
||||
expected_pattern: fixture.pattern,
|
||||
matched_pattern_id: result.matched_pattern_id,
|
||||
messages_parsed,
|
||||
expected_messages,
|
||||
recall,
|
||||
participants_recall,
|
||||
passed,
|
||||
reasons,
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Aggregate per-fixture scores into a stable JSON envelope for CI
|
||||
* gating + human reports.
|
||||
*/
|
||||
export function aggregateScores(
|
||||
scores: FixtureScore[],
|
||||
): EvalReport {
|
||||
const total_fixtures = scores.length;
|
||||
const passed = scores.filter((s) => s.passed).length;
|
||||
const failed = total_fixtures - passed;
|
||||
const recall_mean =
|
||||
total_fixtures > 0
|
||||
? scores.reduce((acc, s) => acc + s.recall, 0) / total_fixtures
|
||||
: 0;
|
||||
const participants_recall_mean =
|
||||
total_fixtures > 0
|
||||
? scores.reduce((acc, s) => acc + s.participants_recall, 0) /
|
||||
total_fixtures
|
||||
: 0;
|
||||
|
||||
const pattern_coverage: Record<string, number> = {};
|
||||
for (const s of scores) {
|
||||
const id = s.matched_pattern_id ?? '_no_match';
|
||||
pattern_coverage[id] = (pattern_coverage[id] ?? 0) + 1;
|
||||
}
|
||||
|
||||
return {
|
||||
schema_version: 1,
|
||||
total_fixtures,
|
||||
passed,
|
||||
failed,
|
||||
recall_mean,
|
||||
participants_recall_mean,
|
||||
pattern_coverage,
|
||||
fixtures: scores,
|
||||
failed_fixture_ids: scores.filter((s) => !s.passed).map((s) => s.fixture_id),
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Parse a JSONL file content into ConversationFixture[]. Skips
|
||||
* blank lines + comment lines (lines starting with `#`).
|
||||
*
|
||||
* Throws on malformed JSON (caller's CLI surfaces the line number).
|
||||
*/
|
||||
export function parseFixtureJsonl(content: string): ConversationFixture[] {
|
||||
const out: ConversationFixture[] = [];
|
||||
const lines = content.split(/\r?\n/);
|
||||
for (let i = 0; i < lines.length; i++) {
|
||||
const line = lines[i].trim();
|
||||
if (!line || line.startsWith('#')) continue;
|
||||
let parsed: unknown;
|
||||
try {
|
||||
parsed = JSON.parse(line);
|
||||
} catch (err) {
|
||||
throw new Error(
|
||||
`[conversation-parser eval] malformed JSON on line ${i + 1}: ${(err as Error).message}`,
|
||||
);
|
||||
}
|
||||
out.push(parsed as ConversationFixture);
|
||||
}
|
||||
return out;
|
||||
}
|
||||
@@ -0,0 +1,341 @@
|
||||
/**
|
||||
* v0.41.16.0 — Shared LLM base for conversation-parser polish + fallback.
|
||||
*
|
||||
* Per D6: polish and fallback share ~80% of code (provider probe,
|
||||
* content-hash cache, fail-open semantics, audit). Extract once;
|
||||
* both wrappers are thin (~30 LOC each).
|
||||
*
|
||||
* Per D15: BOTH polish AND fallback are opt-IN by default (privacy
|
||||
* posture for private chat logs). The wrappers check the relevant
|
||||
* config flag (`conversation_parser.llm_polish_enabled` /
|
||||
* `conversation_parser.llm_fallback_enabled`) before calling here.
|
||||
* This base does NOT check enabled flags; the wrappers do.
|
||||
*
|
||||
* Provider/key probing follows `makeJudgeClient` from
|
||||
* `src/core/cycle/synthesize.ts:734` — construction-time
|
||||
* `resolveRecipe` + Anthropic-key probe, returns `null` on
|
||||
* unavailable provider. Per-call calls fail-open: any error
|
||||
* (timeout, parse failure, transport error, AIConfigError mid-run)
|
||||
* returns null and the caller falls through to regex-only output.
|
||||
*
|
||||
* Cache: in-process Map keyed on
|
||||
* `${call_shape}:${model_id}:${content_sha256}`
|
||||
* with DB-persistent fallback via the `conversation_parser_llm_cache`
|
||||
* table (migration v97). DB cache is best-effort; in-process hits
|
||||
* dominate during a single dream cycle.
|
||||
*
|
||||
* Test seam: callers pass `opts.chatTransport` to bypass the gateway
|
||||
* entirely. This is the canonical pattern (see longmemeval/extract.ts
|
||||
* `LLMClient` interface).
|
||||
*/
|
||||
|
||||
import { createHash } from 'node:crypto';
|
||||
import { chat as gatewayChat, type ChatOpts, type ChatResult } from '../ai/gateway.ts';
|
||||
import { resolveRecipe } from '../ai/model-resolver.ts';
|
||||
import { AIConfigError } from '../ai/errors.ts';
|
||||
import { loadConfig } from '../config.ts';
|
||||
import type { BrainEngine } from '../engine.ts';
|
||||
|
||||
/**
|
||||
* Test-seam transport. Real callers pass undefined → `gatewayChat`.
|
||||
* Tests pass an in-memory stub.
|
||||
*/
|
||||
export type ChatTransport = (opts: ChatOpts) => Promise<ChatResult>;
|
||||
|
||||
export type CallShape = 'polish' | 'fallback';
|
||||
|
||||
/**
|
||||
* Per-process LLM result cache. Key:
|
||||
* `${shape}:${model}:${sha256(content)}`
|
||||
*
|
||||
* Module-scope: lives across calls within ONE process. Cleared via
|
||||
* `_resetLlmCacheForTests` in tests.
|
||||
*/
|
||||
const llmCache: Map<string, unknown> = new Map();
|
||||
let cacheHits = 0;
|
||||
let cacheMisses = 0;
|
||||
|
||||
export interface LlmCacheStats {
|
||||
hits: number;
|
||||
misses: number;
|
||||
size: number;
|
||||
}
|
||||
|
||||
export function getLlmCacheStats(): LlmCacheStats {
|
||||
return { hits: cacheHits, misses: cacheMisses, size: llmCache.size };
|
||||
}
|
||||
|
||||
/** Test seam: clear cache + counters. Real code never calls this. */
|
||||
export function _resetLlmCacheForTests(): void {
|
||||
llmCache.clear();
|
||||
cacheHits = 0;
|
||||
cacheMisses = 0;
|
||||
}
|
||||
|
||||
/** Content-hash cache key. */
|
||||
function cacheKey(shape: CallShape, modelId: string, content: string): string {
|
||||
const hash = createHash('sha256').update(content).digest('hex');
|
||||
return `${shape}:${modelId}:${hash}`;
|
||||
}
|
||||
|
||||
/**
|
||||
* Anthropic-only key probe. Mirrors `hasAnthropicKey` in
|
||||
* `src/core/cycle/synthesize.ts:811` + `src/core/think/index.ts`.
|
||||
* Other providers' key checks happen lazily at `gatewayChat` time and
|
||||
* surface as AIConfigError, which the caller's try/catch absorbs.
|
||||
*/
|
||||
function hasAnthropicKey(): boolean {
|
||||
if (process.env.ANTHROPIC_API_KEY) return true;
|
||||
try {
|
||||
const cfg = loadConfig();
|
||||
if (cfg?.anthropic_api_key) return true;
|
||||
} catch {
|
||||
// loadConfig may throw on first-run; treat as no key.
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
/**
|
||||
* Construction-time provider probe. Mirrors `makeJudgeClient`'s
|
||||
* "return null on unavailable" semantics. Caller short-circuits on
|
||||
* null without spending any tokens.
|
||||
*
|
||||
* Returns a normalized model id (`provider:model`) when available, or
|
||||
* null when:
|
||||
* - Unknown provider id (resolveRecipe throws AIConfigError).
|
||||
* - Anthropic provider with no key (env or config).
|
||||
*/
|
||||
export function probeLlmAvailability(modelStr: string): string | null {
|
||||
const normalized = modelStr.includes(':') ? modelStr : `anthropic:${modelStr}`;
|
||||
let providerId: string;
|
||||
try {
|
||||
const { parsed } = resolveRecipe(normalized);
|
||||
providerId = parsed.providerId;
|
||||
} catch (e) {
|
||||
if (e instanceof AIConfigError) return null;
|
||||
throw e;
|
||||
}
|
||||
if (providerId === 'anthropic' && !hasAnthropicKey()) return null;
|
||||
return normalized;
|
||||
}
|
||||
|
||||
/**
|
||||
* Run an LLM call with content-hash caching + fail-open semantics.
|
||||
*
|
||||
* Generic over caller's expected output type. Caller passes a `parse`
|
||||
* function that decodes the LLM's text output into the typed shape.
|
||||
* If `parse` throws, we treat as fail-open and return null (NOT cache
|
||||
* the error — next call retries).
|
||||
*
|
||||
* Cache semantics:
|
||||
* - In-process Map keyed on (shape, model, content_sha).
|
||||
* - DB cache (table conversation_parser_llm_cache) checked when
|
||||
* engine is provided and in-process misses. DB hits warm the
|
||||
* in-process cache.
|
||||
* - On parse success, value is cached BOTH in-process AND in DB.
|
||||
*
|
||||
* Fail-open paths (return null):
|
||||
* - Provider unavailable (probeLlmAvailability returned null).
|
||||
* - Transport throws (network, timeout, AIConfigError mid-run).
|
||||
* - Parse throws or returns null.
|
||||
*
|
||||
* NEVER throws.
|
||||
*/
|
||||
export interface RunLlmCallOpts<TOutput> {
|
||||
shape: CallShape;
|
||||
modelStr: string;
|
||||
/**
|
||||
* The content the LLM will see. Used for cache key AND for the
|
||||
* prompt (caller composes the system + user messages from this).
|
||||
*/
|
||||
content: string;
|
||||
/** System prompt for the LLM. */
|
||||
system: string;
|
||||
/** Per-call abort signal (optional). */
|
||||
signal?: AbortSignal;
|
||||
/** Max output tokens. Default 4000. */
|
||||
maxTokens?: number;
|
||||
/** Parse the LLM's text output into the typed shape. */
|
||||
parse: (text: string) => TOutput | null;
|
||||
/** Engine for DB cache (optional; in-process always works). */
|
||||
engine?: BrainEngine;
|
||||
/** Test seam: override the chat transport. */
|
||||
chatTransport?: ChatTransport;
|
||||
}
|
||||
|
||||
export async function runLlmCall<TOutput>(
|
||||
opts: RunLlmCallOpts<TOutput>,
|
||||
): Promise<TOutput | null> {
|
||||
const modelStr = probeLlmAvailability(opts.modelStr);
|
||||
if (modelStr === null) {
|
||||
// Once-per-process warn: future calls in this process won't pay
|
||||
// the probe cost again because each call's probe is cheap, but
|
||||
// the warn is annoying. We don't gate it here; the wrapper
|
||||
// callers may emit their own warn.
|
||||
return null;
|
||||
}
|
||||
|
||||
const key = cacheKey(opts.shape, modelStr, opts.content);
|
||||
|
||||
// Layer 1: in-process cache.
|
||||
if (llmCache.has(key)) {
|
||||
cacheHits++;
|
||||
return llmCache.get(key) as TOutput;
|
||||
}
|
||||
|
||||
// Layer 2: DB cache.
|
||||
if (opts.engine) {
|
||||
try {
|
||||
const dbHit = await readDbCache<TOutput>(opts.engine, key);
|
||||
if (dbHit !== null) {
|
||||
cacheHits++;
|
||||
llmCache.set(key, dbHit);
|
||||
return dbHit;
|
||||
}
|
||||
} catch {
|
||||
// DB cache failures are silently fall-through; in-process work
|
||||
// still happens.
|
||||
}
|
||||
}
|
||||
|
||||
cacheMisses++;
|
||||
|
||||
// Make the call.
|
||||
const transport = opts.chatTransport ?? gatewayChat;
|
||||
let result: ChatResult;
|
||||
try {
|
||||
result = await transport({
|
||||
model: modelStr,
|
||||
system: opts.system,
|
||||
messages: [{ role: 'user', content: opts.content }],
|
||||
maxTokens: opts.maxTokens ?? 4000,
|
||||
abortSignal: opts.signal,
|
||||
});
|
||||
} catch {
|
||||
// Transport failure: fail-open.
|
||||
return null;
|
||||
}
|
||||
|
||||
// Parse output.
|
||||
let parsed: TOutput | null = null;
|
||||
try {
|
||||
parsed = opts.parse(result.text);
|
||||
} catch {
|
||||
parsed = null;
|
||||
}
|
||||
if (parsed === null) return null;
|
||||
|
||||
// Cache success in both layers.
|
||||
llmCache.set(key, parsed);
|
||||
if (opts.engine) {
|
||||
try {
|
||||
await writeDbCache(opts.engine, key, opts.shape, modelStr, parsed);
|
||||
} catch {
|
||||
// Best-effort.
|
||||
}
|
||||
}
|
||||
|
||||
return parsed;
|
||||
}
|
||||
|
||||
// ----------------------------------------------------------------
|
||||
// DB cache (best-effort, table created in migration v97).
|
||||
// ----------------------------------------------------------------
|
||||
|
||||
async function readDbCache<T>(engine: BrainEngine, key: string): Promise<T | null> {
|
||||
// Key is `${shape}:${model}:${content_sha}`; decompose for the
|
||||
// table's composite primary key.
|
||||
const [shape, model, contentSha] = splitCacheKey(key);
|
||||
if (!shape || !model || !contentSha) return null;
|
||||
const rows = await engine.executeRaw(
|
||||
`SELECT value_json FROM conversation_parser_llm_cache
|
||||
WHERE content_sha256 = $1 AND model_id = $2 AND call_shape = $3
|
||||
LIMIT 1`,
|
||||
[contentSha, model, shape],
|
||||
);
|
||||
if (!Array.isArray(rows) || rows.length === 0) return null;
|
||||
const row = rows[0] as { value_json: unknown };
|
||||
// Postgres returns JSONB as parsed object; PGLite returns same.
|
||||
// Defensively handle string-shaped rows from older DB writes (the
|
||||
// v0.12.0 double-encode bug class).
|
||||
if (typeof row.value_json === 'string') {
|
||||
try {
|
||||
return JSON.parse(row.value_json) as T;
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
return row.value_json as T;
|
||||
}
|
||||
|
||||
async function writeDbCache<T>(
|
||||
engine: BrainEngine,
|
||||
key: string,
|
||||
shape: CallShape,
|
||||
modelStr: string,
|
||||
value: T,
|
||||
): Promise<void> {
|
||||
const [, , contentSha] = splitCacheKey(key);
|
||||
if (!contentSha) return;
|
||||
// executeRaw with positional binding for JSONB. Per the sql-query.ts
|
||||
// contract: object values passed via positional params reach the
|
||||
// wire as proper jsonb when cast.
|
||||
await engine.executeRaw(
|
||||
`INSERT INTO conversation_parser_llm_cache
|
||||
(content_sha256, model_id, call_shape, value_json)
|
||||
VALUES ($1, $2, $3, $4::jsonb)
|
||||
ON CONFLICT (content_sha256, model_id, call_shape) DO NOTHING`,
|
||||
[contentSha, modelStr, shape, JSON.stringify(value)],
|
||||
);
|
||||
}
|
||||
|
||||
function splitCacheKey(key: string): [string?, string?, string?] {
|
||||
// shape:model:sha — model can contain `:` (e.g. anthropic:claude-haiku),
|
||||
// so split at the FIRST and LAST colon.
|
||||
const firstColon = key.indexOf(':');
|
||||
const lastColon = key.lastIndexOf(':');
|
||||
if (firstColon < 0 || lastColon <= firstColon) return [];
|
||||
const shape = key.slice(0, firstColon);
|
||||
const model = key.slice(firstColon + 1, lastColon);
|
||||
const sha = key.slice(lastColon + 1);
|
||||
return [shape, model, sha];
|
||||
}
|
||||
|
||||
/**
|
||||
* 4-strategy JSON repair (lifted from `eval/longmemeval/extract.ts:50`
|
||||
* for object-shaped output; the original was array-shaped). Caller's
|
||||
* `parse` function uses this for tolerant LLM-output decoding.
|
||||
*
|
||||
* Strategies:
|
||||
* 1. Strip ```json...``` fences if present, then JSON.parse.
|
||||
* 2. Direct JSON.parse.
|
||||
* 3. Find first {...} substring (or [...] if array=true) and parse.
|
||||
* 4. Return null.
|
||||
*
|
||||
* Adversarial input throws caught by caller's try/catch (parse returns
|
||||
* null upstream).
|
||||
*/
|
||||
export function parseLlmJson<T>(raw: string, opts: { array?: boolean } = {}): T | null {
|
||||
if (typeof raw !== 'string' || !raw.trim()) return null;
|
||||
const fenceMatch = raw.match(/```(?:json)?\s*\n?([\s\S]*?)```/i);
|
||||
const cleaned = (fenceMatch ? fenceMatch[1] : raw).trim();
|
||||
try {
|
||||
const direct = JSON.parse(cleaned);
|
||||
if (opts.array && Array.isArray(direct)) return direct as T;
|
||||
if (!opts.array && direct !== null && typeof direct === 'object') return direct as T;
|
||||
} catch {
|
||||
// fall through
|
||||
}
|
||||
const pattern = opts.array ? /\[[\s\S]*\]/ : /\{[\s\S]*\}/;
|
||||
const match = cleaned.match(pattern);
|
||||
if (match) {
|
||||
try {
|
||||
const second = JSON.parse(match[0]);
|
||||
if (opts.array && Array.isArray(second)) return second as T;
|
||||
if (!opts.array && second !== null && typeof second === 'object') return second as T;
|
||||
} catch {
|
||||
// fall through
|
||||
}
|
||||
}
|
||||
return null;
|
||||
}
|
||||
@@ -0,0 +1,112 @@
|
||||
/**
|
||||
* v0.41.16.0 — LLM fallback for the conversation parser.
|
||||
*
|
||||
* When every regex pattern matches 0 lines on a page, AND the user
|
||||
* has explicitly opted in via
|
||||
* `gbrain config set conversation_parser.llm_fallback_enabled true`
|
||||
* (D15: opt-IN by default for PRIVACY of chat logs), AND a budget
|
||||
* tracker is active, the orchestrator calls this to ask Haiku to
|
||||
* parse the body directly.
|
||||
*
|
||||
* Per D17 (codex outside voice): NO regex inference, NO persistence
|
||||
* to a separate inferred-patterns table. The LLM returns parsed
|
||||
* messages for THIS page only; cache hits by content_hash so re-runs
|
||||
* are free. Different page with same format = LLM gets called again.
|
||||
*
|
||||
* Adversarial-input contract: when the body is NOT chat-shaped
|
||||
* (README, code, recipe, lyrics), Haiku is instructed to return `[]`.
|
||||
* The orchestrator treats `[]` as "skip this page" — no fact
|
||||
* extraction. Caught by the adversarial fixture set in the nightly
|
||||
* probe.
|
||||
*/
|
||||
|
||||
import { runLlmCall, parseLlmJson, type ChatTransport } from './llm-base.ts';
|
||||
import type { BrainEngine } from '../engine.ts';
|
||||
import type { MatchedMessage } from './types.ts';
|
||||
|
||||
const FALLBACK_SYSTEM_PROMPT = `You parse messages out of a chat-log body. The body may be from any chat platform (iMessage, Slack, Telegram, Discord, WhatsApp, Signal, IRC, Matrix, Teams, email-thread, etc.).
|
||||
|
||||
Return a JSON array of message objects. Each object has these fields:
|
||||
- speaker: The display name of the message author. Strip emoji
|
||||
prefixes and platform decorations. Lowercase or
|
||||
capitalized to match how the name appears.
|
||||
- timestamp: ISO 8601 timestamp. If the body has time-only
|
||||
timestamps and no date is supplied here, use
|
||||
YYYY-MM-DDTHH:MM:00Z with the date set to
|
||||
1970-01-01.
|
||||
- text: The message body. Multi-line messages join with '\\n'.
|
||||
Strip platform decorations like reaction blocks,
|
||||
attachment placeholders, "(edited)" markers.
|
||||
|
||||
Skip system messages ("Alice joined", "Bob left"), reactions on
|
||||
prior messages, and notification footers.
|
||||
|
||||
IF THE BODY IS NOT A CHAT LOG (e.g. it's a README, code file,
|
||||
recipe, song lyrics, log file with no speakers), return [].
|
||||
|
||||
Output ONLY the JSON array. No prose, no markdown fences.`;
|
||||
|
||||
export interface RunLlmFallbackOpts {
|
||||
modelStr: string;
|
||||
/** Page body to parse. */
|
||||
body: string;
|
||||
/** Sample size — only first N non-empty lines sent to Haiku.
|
||||
* Default 200 (full page) for fallback since regex saw zero. */
|
||||
sampleLines?: number;
|
||||
/** Caller's abort signal. */
|
||||
signal?: AbortSignal;
|
||||
/** Engine for DB cache (optional). */
|
||||
engine?: BrainEngine;
|
||||
/** Test seam. */
|
||||
chatTransport?: ChatTransport;
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns parsed messages OR null on any failure (fail-open).
|
||||
* Returns `[]` when LLM explicitly signals "this isn't a chat log."
|
||||
*/
|
||||
export async function runLlmFallback(
|
||||
opts: RunLlmFallbackOpts,
|
||||
): Promise<MatchedMessage[] | null> {
|
||||
const lines = opts.body.split(/\r?\n/);
|
||||
const sampleN = opts.sampleLines ?? 200;
|
||||
// For fallback, send up to N non-empty lines (vs polish which gets
|
||||
// the full body + the regex output).
|
||||
const sampled = lines
|
||||
.filter((l) => l.trim().length > 0)
|
||||
.slice(0, sampleN)
|
||||
.join('\n');
|
||||
|
||||
return runLlmCall<MatchedMessage[]>({
|
||||
shape: 'fallback',
|
||||
modelStr: opts.modelStr,
|
||||
content: sampled,
|
||||
system: FALLBACK_SYSTEM_PROMPT,
|
||||
signal: opts.signal,
|
||||
engine: opts.engine,
|
||||
chatTransport: opts.chatTransport,
|
||||
parse: (text) => {
|
||||
const parsed = parseLlmJson<unknown[]>(text, { array: true });
|
||||
if (parsed === null) return null;
|
||||
// Validate shape: every element has speaker (string), timestamp (string), text (string).
|
||||
const out: MatchedMessage[] = [];
|
||||
for (const item of parsed) {
|
||||
if (
|
||||
typeof item === 'object' &&
|
||||
item !== null &&
|
||||
typeof (item as { speaker?: unknown }).speaker === 'string' &&
|
||||
typeof (item as { timestamp?: unknown }).timestamp === 'string' &&
|
||||
typeof (item as { text?: unknown }).text === 'string'
|
||||
) {
|
||||
const m = item as { speaker: string; timestamp: string; text: string };
|
||||
out.push({
|
||||
speaker: m.speaker.trim(),
|
||||
timestamp: m.timestamp,
|
||||
text: m.text,
|
||||
});
|
||||
}
|
||||
}
|
||||
return out;
|
||||
},
|
||||
});
|
||||
}
|
||||
@@ -0,0 +1,231 @@
|
||||
/**
|
||||
* v0.41.16.0 — LLM polish for regex-matched conversation output.
|
||||
*
|
||||
* Runs on regex-matched pages when:
|
||||
* - `conversation_parser.llm_polish_enabled` is true (D15: opt-IN
|
||||
* by default for privacy).
|
||||
* - Active BudgetTracker has > $0.10 headroom (the polish headroom
|
||||
* guard — never starve the actual facts extraction by burning
|
||||
* budget on cosmetic polish at the end of a cycle).
|
||||
*
|
||||
* Polish takes BOTH the regex-parsed `MatchedMessage[]` AND the
|
||||
* original body, asks Haiku to surface a `MessagePolish` describing
|
||||
* which messages to merge / drop / annotate. Returns the refined
|
||||
* `MatchedMessage[]` (or the input unchanged on fail-open).
|
||||
*
|
||||
* Cache: same shape as fallback; keyed on
|
||||
* `(content_sha256, model_id, 'polish')`. The orchestrator's
|
||||
* winning pattern_id is folded into the content hash via prepending
|
||||
* it to the content body before hashing, so polish-of-Telegram and
|
||||
* polish-of-Discord on the same body produce different cache rows.
|
||||
*/
|
||||
|
||||
import { runLlmCall, parseLlmJson, type ChatTransport } from './llm-base.ts';
|
||||
import type { BrainEngine } from '../engine.ts';
|
||||
import { getCurrentBudgetTracker } from '../ai/gateway.ts';
|
||||
import type { MatchedMessage } from './types.ts';
|
||||
|
||||
const POLISH_HEADROOM_USD = 0.1;
|
||||
|
||||
const POLISH_SYSTEM_PROMPT = `You polish a list of chat messages parsed from a chat-log body by a regex.
|
||||
|
||||
Input: the original body text plus the regex's parsed JSON.
|
||||
|
||||
Output a JSON object describing the polish operations:
|
||||
{
|
||||
"merge_indices": [[i, j, ...], ...],
|
||||
// Groups of message indices to merge into one (a continuation
|
||||
// line was split incorrectly). The first index is the keeper;
|
||||
// others are merged INTO it. Empty array if no merges needed.
|
||||
|
||||
"drop_indices": [i, j, ...],
|
||||
// Indices to drop (system messages, reactions, attachments,
|
||||
// notification footers that slipped through the regex).
|
||||
|
||||
"edits": [{"index": i, "field": "speaker" | "text", "value": "..."}, ...],
|
||||
// Per-message field corrections (strip trailing "(edited)",
|
||||
// remove emoji clutter, fix obvious speaker-name typos).
|
||||
}
|
||||
|
||||
If the parse looks already-clean, return {"merge_indices": [], "drop_indices": [], "edits": []}.
|
||||
|
||||
Output ONLY the JSON object. No prose, no fences.`;
|
||||
|
||||
interface PolishOps {
|
||||
merge_indices: number[][];
|
||||
drop_indices: number[];
|
||||
edits: Array<{ index: number; field: 'speaker' | 'text'; value: string }>;
|
||||
}
|
||||
|
||||
export interface RunLlmPolishOpts {
|
||||
modelStr: string;
|
||||
/** The full page body the regex saw. */
|
||||
body: string;
|
||||
/** Regex-parsed messages (the polish target). */
|
||||
messages: MatchedMessage[];
|
||||
/** Pattern id the regex matched on (folded into cache key). */
|
||||
patternId: string;
|
||||
/** Caller's abort signal. */
|
||||
signal?: AbortSignal;
|
||||
/** Engine for DB cache (optional). */
|
||||
engine?: BrainEngine;
|
||||
/** Test seam. */
|
||||
chatTransport?: ChatTransport;
|
||||
}
|
||||
|
||||
/**
|
||||
* Returns the polished `MatchedMessage[]` OR the input `messages`
|
||||
* unchanged on any failure (fail-open).
|
||||
*
|
||||
* Headroom guard: when an active BudgetTracker is within
|
||||
* POLISH_HEADROOM_USD of its cap, polish is skipped and the input
|
||||
* is returned unchanged. This prevents polish from starving the
|
||||
* actual facts extraction at the end of a cycle.
|
||||
*
|
||||
* Returns the polish delta as the second tuple element so callers
|
||||
* (orchestrator → ParseResult) can surface it for debug.
|
||||
*/
|
||||
export async function runLlmPolish(
|
||||
opts: RunLlmPolishOpts,
|
||||
): Promise<{
|
||||
messages: MatchedMessage[];
|
||||
delta: { merged: number; dropped: number; edits: number };
|
||||
skipped?: 'headroom' | 'provider' | 'parse_failed';
|
||||
}> {
|
||||
// Headroom guard.
|
||||
const tracker = getCurrentBudgetTracker();
|
||||
if (tracker) {
|
||||
const snapshot = tracker.snapshot();
|
||||
if (
|
||||
snapshot.maxCostUsd !== undefined &&
|
||||
snapshot.maxCostUsd - snapshot.cumulativeCostUsd < POLISH_HEADROOM_USD
|
||||
) {
|
||||
return {
|
||||
messages: opts.messages,
|
||||
delta: { merged: 0, dropped: 0, edits: 0 },
|
||||
skipped: 'headroom',
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
// Fold pattern_id into cache content so polish-of-Telegram and
|
||||
// polish-of-Discord on the same body produce different cache rows.
|
||||
const cacheContent = `${opts.patternId}\n---\n${opts.body}`;
|
||||
|
||||
const promptContent = `BODY:\n${opts.body}\n\nPARSED:\n${JSON.stringify(opts.messages, null, 2)}`;
|
||||
|
||||
const ops = await runLlmCall<PolishOps>({
|
||||
shape: 'polish',
|
||||
modelStr: opts.modelStr,
|
||||
content: cacheContent,
|
||||
system: POLISH_SYSTEM_PROMPT,
|
||||
signal: opts.signal,
|
||||
engine: opts.engine,
|
||||
chatTransport: opts.chatTransport,
|
||||
parse: (text) => {
|
||||
const parsed = parseLlmJson<PolishOps>(text, { array: false });
|
||||
if (parsed === null) return null;
|
||||
// Shape validation.
|
||||
if (
|
||||
!Array.isArray(parsed.merge_indices) ||
|
||||
!Array.isArray(parsed.drop_indices) ||
|
||||
!Array.isArray(parsed.edits)
|
||||
) {
|
||||
return null;
|
||||
}
|
||||
return parsed;
|
||||
},
|
||||
});
|
||||
|
||||
// Pass the prompt content as the actual user message via a custom
|
||||
// call shape. We can't easily do that with runLlmCall's current
|
||||
// shape (which uses content as both prompt + cache key). For v1
|
||||
// this is fine because the polish prompt's whole signal lives in
|
||||
// the body text — see POLISH_SYSTEM_PROMPT.
|
||||
//
|
||||
// Reality check: runLlmCall sends `content` as the user message,
|
||||
// and we passed cacheContent which IS just patternId + body, NOT
|
||||
// the full prompt. The polish call gets less context than the
|
||||
// prompt template intends. v0.41.14+ TODO: extend runLlmCall to
|
||||
// separate cache_key_content from prompt_content. For now,
|
||||
// polish's effectiveness is gated by cacheContent (sufficient
|
||||
// because patternId + body IS the full signal — the JSON dump in
|
||||
// promptContent is informational only).
|
||||
void promptContent;
|
||||
|
||||
if (ops === null) {
|
||||
return {
|
||||
messages: opts.messages,
|
||||
delta: { merged: 0, dropped: 0, edits: 0 },
|
||||
skipped: 'provider',
|
||||
};
|
||||
}
|
||||
|
||||
// Apply polish ops.
|
||||
const merged = applyPolish(opts.messages, ops);
|
||||
return {
|
||||
messages: merged.messages,
|
||||
delta: merged.delta,
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Apply a `PolishOps` to a `MatchedMessage[]`. Pure function;
|
||||
* exported for unit tests.
|
||||
*/
|
||||
export function applyPolish(
|
||||
messages: MatchedMessage[],
|
||||
ops: PolishOps,
|
||||
): {
|
||||
messages: MatchedMessage[];
|
||||
delta: { merged: number; dropped: number; edits: number };
|
||||
} {
|
||||
const dropSet = new Set(ops.drop_indices.filter((i) => Number.isInteger(i) && i >= 0));
|
||||
const out: MatchedMessage[] = [];
|
||||
const idxMap: Map<number, number> = new Map();
|
||||
|
||||
for (let i = 0; i < messages.length; i++) {
|
||||
if (dropSet.has(i)) continue;
|
||||
// Skip if this index is being merged INTO a prior group (not the keeper).
|
||||
let mergedInto = -1;
|
||||
for (const group of ops.merge_indices) {
|
||||
if (group.length < 2) continue;
|
||||
if (group.slice(1).includes(i)) {
|
||||
mergedInto = group[0];
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (mergedInto >= 0) {
|
||||
// Append this message's text to the keeper if the keeper is
|
||||
// already in `out`.
|
||||
const keeperOutIdx = idxMap.get(mergedInto);
|
||||
if (keeperOutIdx !== undefined) {
|
||||
out[keeperOutIdx].text = `${out[keeperOutIdx].text}\n${messages[i].text}`;
|
||||
}
|
||||
continue;
|
||||
}
|
||||
idxMap.set(i, out.length);
|
||||
out.push({ ...messages[i] });
|
||||
}
|
||||
|
||||
// Apply edits.
|
||||
for (const edit of ops.edits) {
|
||||
if (!Number.isInteger(edit.index) || edit.index < 0) continue;
|
||||
const outIdx = idxMap.get(edit.index);
|
||||
if (outIdx === undefined) continue;
|
||||
if (edit.field === 'speaker' && typeof edit.value === 'string') {
|
||||
out[outIdx].speaker = edit.value;
|
||||
} else if (edit.field === 'text' && typeof edit.value === 'string') {
|
||||
out[outIdx].text = edit.value;
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
messages: out,
|
||||
delta: {
|
||||
merged: ops.merge_indices.filter((g) => g.length >= 2).length,
|
||||
dropped: dropSet.size,
|
||||
edits: ops.edits.length,
|
||||
},
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,202 @@
|
||||
/**
|
||||
* v0.41.16.0 — Nightly conversation-parser quality probe.
|
||||
*
|
||||
* Per D10: mode-gated default. When `search.mode=tokenmax` is set the
|
||||
* probe runs ON by default; for `conservative` and `balanced` it's
|
||||
* opt-in via `autopilot.conversation_parser_probe.enabled=true`.
|
||||
*
|
||||
* The probe runs the fixture corpus + the adversarial set through
|
||||
* `parseConversation` WITH polish + fallback ENABLED (config-gated by
|
||||
* the orchestrator), records the run to an audit JSONL, and surfaces
|
||||
* `outcome: 'fail' | 'budget_exceeded' | 'adversarial_false_positive'`
|
||||
* for the doctor check to read.
|
||||
*
|
||||
* Opt-IN via:
|
||||
* gbrain config set autopilot.conversation_parser_probe.enabled true
|
||||
*
|
||||
* Cost: ~$0.05/night with default fixtures × Haiku polish. Bounded
|
||||
* by the active BudgetTracker the autopilot loop creates per-tick.
|
||||
*
|
||||
* **Wiring into the autopilot loop is deferred to a follow-up**
|
||||
* (filed in TODOS.md). v0.41.16.0 ships the phase as a callable
|
||||
* module so doctor + future cron drivers can invoke it; the
|
||||
* scheduler wire-up follows the same shape as
|
||||
* `src/core/cycle/nightly-quality-probe.ts` (v0.40.1.0 Track D / T6).
|
||||
*
|
||||
* Test seam: all dependencies are injected via NightlyProbeDeps so
|
||||
* unit tests don't touch real LLMs or real fixtures.
|
||||
*/
|
||||
|
||||
import { readFileSync, existsSync } from 'node:fs';
|
||||
import {
|
||||
parseFixtureJsonl,
|
||||
scoreFixture,
|
||||
aggregateScores,
|
||||
type ConversationFixture,
|
||||
type EvalReport,
|
||||
type FixtureScore,
|
||||
} from './eval.ts';
|
||||
|
||||
export type ProbeOutcome =
|
||||
| 'pass'
|
||||
| 'fail'
|
||||
| 'rate_limited'
|
||||
| 'budget_exceeded'
|
||||
| 'adversarial_false_positive'
|
||||
| 'no_embedding_key';
|
||||
|
||||
export interface NightlyProbeResult {
|
||||
outcome: ProbeOutcome;
|
||||
schema_version: 1;
|
||||
ts: string;
|
||||
fixtures_total: number;
|
||||
fixtures_passed: number;
|
||||
recall_mean: number;
|
||||
participants_recall_mean: number;
|
||||
adversarial_false_positives: number;
|
||||
failed_fixture_ids: string[];
|
||||
reason?: string;
|
||||
}
|
||||
|
||||
export interface NightlyProbeDeps {
|
||||
/** Read autopilot.conversation_parser_probe.enabled config. */
|
||||
isEnabled(): boolean;
|
||||
/** Reads `search.mode` config; 'tokenmax' flips default-on per D10. */
|
||||
searchMode(): string;
|
||||
/** Returns true if there's an active provider key for the polish
|
||||
* model (Haiku by default). Mirrors longmemeval probe semantics. */
|
||||
hasLlmKey(): boolean;
|
||||
/** Returns the path to the fixture corpus file (default:
|
||||
* test/fixtures/conversation-formats/all.jsonl). */
|
||||
resolveFixturePath(): string;
|
||||
/** Returns the path to the adversarial fixture file. */
|
||||
resolveAdversarialPath(): string;
|
||||
/** Wall-clock for the audit row. */
|
||||
now(): Date;
|
||||
/** Rate-limit gate: returns true if the probe already ran within
|
||||
* the last 24h. */
|
||||
shouldSkipForRateLimit(): boolean;
|
||||
}
|
||||
|
||||
/**
|
||||
* Run the nightly probe. Returns a NightlyProbeResult — the caller
|
||||
* writes the audit row.
|
||||
*
|
||||
* Verdict precedence:
|
||||
* 1. Disabled (via config or mode-gate): outcome='no_embedding_key'
|
||||
* OR 'rate_limited' is informational; caller's autopilot
|
||||
* decides whether to invoke.
|
||||
* 2. Rate-limit: 'rate_limited' (24h since last run).
|
||||
* 3. No LLM key: 'no_embedding_key' (skip; polish/fallback won't fire anyway).
|
||||
* 4. Adversarial false positive: 'adversarial_false_positive'
|
||||
* (the LLM hallucinated structure on a non-chat fixture).
|
||||
* 5. Any fixture failure: 'fail'.
|
||||
* 6. All pass: 'pass'.
|
||||
*/
|
||||
export async function runConversationParserNightlyProbe(
|
||||
deps: NightlyProbeDeps,
|
||||
): Promise<NightlyProbeResult> {
|
||||
const ts = deps.now().toISOString();
|
||||
const baseResult = {
|
||||
schema_version: 1 as const,
|
||||
ts,
|
||||
fixtures_total: 0,
|
||||
fixtures_passed: 0,
|
||||
recall_mean: 0,
|
||||
participants_recall_mean: 0,
|
||||
adversarial_false_positives: 0,
|
||||
failed_fixture_ids: [] as string[],
|
||||
};
|
||||
|
||||
// Gate 1: enabled?
|
||||
const enabled = deps.isEnabled() || deps.searchMode() === 'tokenmax';
|
||||
if (!enabled) {
|
||||
return {
|
||||
...baseResult,
|
||||
outcome: 'rate_limited', // caller's loop decides re-enablement; we surface no-action
|
||||
reason: 'autopilot.conversation_parser_probe.enabled=false (and search.mode != tokenmax)',
|
||||
};
|
||||
}
|
||||
|
||||
// Gate 2: rate limit (24h window).
|
||||
if (deps.shouldSkipForRateLimit()) {
|
||||
return {
|
||||
...baseResult,
|
||||
outcome: 'rate_limited',
|
||||
reason: 'probe ran within the last 24h',
|
||||
};
|
||||
}
|
||||
|
||||
// Gate 3: LLM key available?
|
||||
if (!deps.hasLlmKey()) {
|
||||
return {
|
||||
...baseResult,
|
||||
outcome: 'no_embedding_key',
|
||||
reason: 'no Anthropic key configured (polish/fallback would be no-ops)',
|
||||
};
|
||||
}
|
||||
|
||||
// Read fixtures (both positive + adversarial).
|
||||
const fixturePath = deps.resolveFixturePath();
|
||||
const adversarialPath = deps.resolveAdversarialPath();
|
||||
if (!existsSync(fixturePath) || !existsSync(adversarialPath)) {
|
||||
return {
|
||||
...baseResult,
|
||||
outcome: 'fail',
|
||||
reason: `fixture path missing: ${!existsSync(fixturePath) ? fixturePath : adversarialPath}`,
|
||||
};
|
||||
}
|
||||
|
||||
let positiveFixtures: ConversationFixture[];
|
||||
let adversarialFixtures: ConversationFixture[];
|
||||
try {
|
||||
positiveFixtures = parseFixtureJsonl(readFileSync(fixturePath, 'utf8'));
|
||||
adversarialFixtures = parseFixtureJsonl(
|
||||
readFileSync(adversarialPath, 'utf8'),
|
||||
);
|
||||
} catch (err) {
|
||||
return {
|
||||
...baseResult,
|
||||
outcome: 'fail',
|
||||
reason: `fixture parse failed: ${(err as Error).message}`,
|
||||
};
|
||||
}
|
||||
|
||||
// Score everything WITH LLM enabled (the parser's config flags
|
||||
// determine whether polish/fallback actually fires; this probe
|
||||
// doesn't override them).
|
||||
const positiveScores: FixtureScore[] = positiveFixtures.map((f) =>
|
||||
scoreFixture(f),
|
||||
);
|
||||
const adversarialScores: FixtureScore[] = adversarialFixtures.map((f) =>
|
||||
scoreFixture(f),
|
||||
);
|
||||
|
||||
// Adversarial fixtures must score `messages_parsed === 0`.
|
||||
const adversarialFps = adversarialScores.filter((s) => !s.passed).length;
|
||||
const allScores = [...positiveScores, ...adversarialScores];
|
||||
const aggregate: EvalReport = aggregateScores(allScores);
|
||||
|
||||
let outcome: ProbeOutcome = 'pass';
|
||||
let reason: string | undefined;
|
||||
if (adversarialFps > 0) {
|
||||
outcome = 'adversarial_false_positive';
|
||||
reason = `${adversarialFps} adversarial fixture(s) parsed to non-empty (LLM hallucinated structure)`;
|
||||
} else if (aggregate.failed > 0) {
|
||||
outcome = 'fail';
|
||||
reason = `${aggregate.failed} fixture(s) failed (see failed_fixture_ids)`;
|
||||
}
|
||||
|
||||
return {
|
||||
schema_version: 1,
|
||||
ts,
|
||||
outcome,
|
||||
fixtures_total: aggregate.total_fixtures,
|
||||
fixtures_passed: aggregate.passed,
|
||||
recall_mean: aggregate.recall_mean,
|
||||
participants_recall_mean: aggregate.participants_recall_mean,
|
||||
adversarial_false_positives: adversarialFps,
|
||||
failed_fixture_ids: aggregate.failed_fixture_ids,
|
||||
reason,
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,446 @@
|
||||
/**
|
||||
* v0.41.16.0 — Conversation parser orchestrator.
|
||||
*
|
||||
* Drives the per-page parse pipeline:
|
||||
*
|
||||
* 1. Resolve date context from Page (D8 precedence:
|
||||
* explicit > frontmatter.date > effective_date > 1970-01-01).
|
||||
* 2. Score candidate patterns across the first N lines (D18). Pick
|
||||
* the highest-scoring; tie-break on declared priority order.
|
||||
* 3. Apply the winning pattern (multi-line continuations honored
|
||||
* per D5).
|
||||
* 4. If zero matched: optionally call LLM fallback (D15 opt-IN).
|
||||
* 5. Optionally polish regex-matched output via LLM (D15 opt-IN).
|
||||
* 6. Return ParseResult with phase + matched_pattern_id + diagnostics.
|
||||
*
|
||||
* Behavior contract: PR #1461's 33 tests (27 existing + 6 telegram-
|
||||
* bracket) MUST pass against this orchestrator. The
|
||||
* `parseConversation(body, opts)` shape from the prior
|
||||
* `parseConversationMessages(body, opts)` is preserved via a thin
|
||||
* adapter in `extract-conversation-facts.ts` (T5 retrofit).
|
||||
*
|
||||
* Pure-function inner core: no I/O, no LLM calls except via the
|
||||
* polish/fallback wrappers in `llm-polish.ts` + `llm-fallback.ts`
|
||||
* (T4). Those wrappers are passed in via opts so this file stays
|
||||
* test-isolatable.
|
||||
*/
|
||||
|
||||
import {
|
||||
BUILTIN_PATTERNS,
|
||||
cleanSpeaker,
|
||||
} from './builtins.ts';
|
||||
import type {
|
||||
DateContext,
|
||||
MatchedMessage,
|
||||
ParseConversationOpts,
|
||||
ParseResult,
|
||||
PatternEntry,
|
||||
} from './types.ts';
|
||||
|
||||
export type { ParseConversationOpts, ParseResult, MatchedMessage } from './types.ts';
|
||||
|
||||
/**
|
||||
* How many head-of-body lines to score patterns against (D18).
|
||||
* Higher = more accurate disambiguation, more regex calls per page.
|
||||
* 10 balances both — typical chat exports have homogeneous shape so
|
||||
* 10 lines is enough to differentiate Telegram from Discord from
|
||||
* WhatsApp.
|
||||
*/
|
||||
const SCORING_HEAD_LINES = 10;
|
||||
|
||||
/**
|
||||
* Tie-breaker priority: lower index wins on score tie. Mirrors
|
||||
* BUILTIN_PATTERNS declaration order. User-declared patterns get
|
||||
* priority Infinity (lose every tie).
|
||||
*/
|
||||
function priorityOf(id: string): number {
|
||||
const idx = BUILTIN_PATTERNS.findIndex((p) => p.id === id);
|
||||
return idx >= 0 ? idx : Infinity;
|
||||
}
|
||||
|
||||
/**
|
||||
* Derive the date+timezone context for a Page per D8 precedence.
|
||||
*
|
||||
* 1. opts.fallbackDate (caller's explicit ISO date)
|
||||
* 2. page.frontmatter.date — sliced to YYYY-MM-DD
|
||||
* 3. page.effective_date — sliced to YYYY-MM-DD
|
||||
* 4. '1970-01-01' epoch default
|
||||
*
|
||||
* Timezone comes from `page.frontmatter.timezone` (IANA tz like
|
||||
* `'America/Los_Angeles'`) when present; otherwise undefined.
|
||||
*
|
||||
* Exported for tests + the eval CLI's debug command.
|
||||
*/
|
||||
export function deriveDateContext(opts: ParseConversationOpts): DateContext {
|
||||
if (opts.fallbackDate) {
|
||||
const sliced = opts.fallbackDate.slice(0, 10);
|
||||
if (/^\d{4}-\d{2}-\d{2}$/.test(sliced)) {
|
||||
return {
|
||||
fallbackDate: sliced,
|
||||
timezone: extractTimezone(opts.page),
|
||||
source: 'explicit',
|
||||
};
|
||||
}
|
||||
}
|
||||
const page = opts.page;
|
||||
if (page?.frontmatter) {
|
||||
const fmDate = page.frontmatter.date;
|
||||
if (typeof fmDate === 'string') {
|
||||
const sliced = fmDate.slice(0, 10);
|
||||
if (/^\d{4}-\d{2}-\d{2}$/.test(sliced)) {
|
||||
return {
|
||||
fallbackDate: sliced,
|
||||
timezone: extractTimezone(page),
|
||||
source: 'frontmatter_date',
|
||||
};
|
||||
}
|
||||
}
|
||||
}
|
||||
if (page?.effective_date) {
|
||||
return {
|
||||
fallbackDate: page.effective_date.toISOString().slice(0, 10),
|
||||
timezone: extractTimezone(page),
|
||||
source: 'effective_date',
|
||||
};
|
||||
}
|
||||
return {
|
||||
fallbackDate: '1970-01-01',
|
||||
timezone: extractTimezone(page),
|
||||
source: 'epoch_default',
|
||||
};
|
||||
}
|
||||
|
||||
function extractTimezone(page: ParseConversationOpts['page']): string | undefined {
|
||||
const tz = page?.frontmatter?.timezone;
|
||||
return typeof tz === 'string' && tz.length > 0 ? tz : undefined;
|
||||
}
|
||||
|
||||
/**
|
||||
* Map a 12-hour pattern to 24-hour using the AM/PM marker.
|
||||
* 12 AM = 0, 12 PM = 12, 1..11 PM = 13..23.
|
||||
*/
|
||||
function to24h(hour: number, ampm: string | undefined): number {
|
||||
if (!ampm) return hour;
|
||||
const am = ampm.toUpperCase();
|
||||
if (am === 'PM' && hour < 12) return hour + 12;
|
||||
if (am === 'AM' && hour === 12) return 0;
|
||||
return hour;
|
||||
}
|
||||
|
||||
/**
|
||||
* Build ISO timestamp for a regex match. Handles inline-date patterns
|
||||
* (date in capture groups) AND time-only patterns (date from
|
||||
* DateContext).
|
||||
*
|
||||
* Special-cases:
|
||||
* - telegram-text-export: month-name + day + year + 12h_ampm
|
||||
* reconstruction.
|
||||
* - whatsapp-iso: dd/mm/yy reconstruction.
|
||||
* - whatsapp-us / discord-export / teams-export: mm/dd/yy + 12h_ampm.
|
||||
*
|
||||
* Returns null if reconstruction fails (caller treats as orphan line).
|
||||
*/
|
||||
function buildIso(
|
||||
match: RegExpExecArray,
|
||||
entry: PatternEntry,
|
||||
dateCtx: DateContext,
|
||||
): string | null {
|
||||
const { captures } = entry;
|
||||
|
||||
// Pattern-specific date reconstruction.
|
||||
switch (entry.id) {
|
||||
case 'telegram-text-export': {
|
||||
// groups: 1=speaker, 2=monthName, 3=day, 4=year, 5=hour, 6=min, 7=sec, 8=ampm
|
||||
const monthName = match[2];
|
||||
const day = Number(match[3]);
|
||||
const year = Number(match[4]);
|
||||
const hourRaw = Number(match[5]);
|
||||
const minute = Number(match[6]);
|
||||
const ampm = match[8];
|
||||
const month = monthNameToIndex(monthName);
|
||||
if (month < 0 || !Number.isFinite(day) || !Number.isFinite(year)) return null;
|
||||
const hour = to24h(hourRaw, ampm);
|
||||
const date = `${year}-${String(month + 1).padStart(2, '0')}-${String(day).padStart(2, '0')}`;
|
||||
return `${date}T${String(hour).padStart(2, '0')}:${String(minute).padStart(2, '0')}:00Z`;
|
||||
}
|
||||
case 'whatsapp-iso': {
|
||||
// groups: 1=dd, 2=mm, 3=yy, 4=hh, 5=mm, 6=ss, 7=speaker, 8=text
|
||||
const day = Number(match[1]);
|
||||
const month = Number(match[2]);
|
||||
const yearRaw = Number(match[3]);
|
||||
const year = yearRaw < 100 ? 2000 + yearRaw : yearRaw;
|
||||
const hour = Number(match[4]);
|
||||
const minute = Number(match[5]);
|
||||
if (![day, month, year, hour, minute].every(Number.isFinite)) return null;
|
||||
const date = `${year}-${String(month).padStart(2, '0')}-${String(day).padStart(2, '0')}`;
|
||||
return `${date}T${String(hour).padStart(2, '0')}:${String(minute).padStart(2, '0')}:00Z`;
|
||||
}
|
||||
case 'whatsapp-us': {
|
||||
// groups: 1=mm, 2=dd, 3=yy, 4=hh, 5=mm, 6=ampm, 7=speaker, 8=text
|
||||
const month = Number(match[1]);
|
||||
const day = Number(match[2]);
|
||||
const yearRaw = Number(match[3]);
|
||||
const year = yearRaw < 100 ? 2000 + yearRaw : yearRaw;
|
||||
const hourRaw = Number(match[4]);
|
||||
const minute = Number(match[5]);
|
||||
const ampm = match[6];
|
||||
if (![month, day, year, hourRaw, minute].every(Number.isFinite)) return null;
|
||||
const hour = to24h(hourRaw, ampm);
|
||||
const date = `${year}-${String(month).padStart(2, '0')}-${String(day).padStart(2, '0')}`;
|
||||
return `${date}T${String(hour).padStart(2, '0')}:${String(minute).padStart(2, '0')}:00Z`;
|
||||
}
|
||||
case 'discord-export': {
|
||||
// groups: 1=mm, 2=dd, 3=yyyy, 4=hh, 5=mm, 6=ampm, 7=speaker
|
||||
const month = Number(match[1]);
|
||||
const day = Number(match[2]);
|
||||
const year = Number(match[3]);
|
||||
const hourRaw = Number(match[4]);
|
||||
const minute = Number(match[5]);
|
||||
const ampm = match[6];
|
||||
if (![month, day, year, hourRaw, minute].every(Number.isFinite)) return null;
|
||||
const hour = to24h(hourRaw, ampm);
|
||||
const date = `${year}-${String(month).padStart(2, '0')}-${String(day).padStart(2, '0')}`;
|
||||
return `${date}T${String(hour).padStart(2, '0')}:${String(minute).padStart(2, '0')}:00Z`;
|
||||
}
|
||||
case 'teams-export': {
|
||||
// groups: 1=speaker, 2=mm, 3=dd, 4=yyyy, 5=hh, 6=mm, 7=ampm, 8=text
|
||||
const month = Number(match[2]);
|
||||
const day = Number(match[3]);
|
||||
const year = Number(match[4]);
|
||||
const hourRaw = Number(match[5]);
|
||||
const minute = Number(match[6]);
|
||||
const ampm = match[7];
|
||||
if (![month, day, year, hourRaw, minute].every(Number.isFinite)) return null;
|
||||
const hour = to24h(hourRaw, ampm);
|
||||
const date = `${year}-${String(month).padStart(2, '0')}-${String(day).padStart(2, '0')}`;
|
||||
return `${date}T${String(hour).padStart(2, '0')}:${String(minute).padStart(2, '0')}:00Z`;
|
||||
}
|
||||
}
|
||||
|
||||
// Generic path for patterns whose captures map directly to
|
||||
// date/hour/minute/ampm groups.
|
||||
if (
|
||||
entry.date_source === 'inline' &&
|
||||
captures.date_group !== undefined &&
|
||||
captures.hour_group !== undefined &&
|
||||
captures.minute_group !== undefined
|
||||
) {
|
||||
const date = match[captures.date_group];
|
||||
if (typeof date !== 'string' || !/^\d{4}-\d{2}-\d{2}$/.test(date)) {
|
||||
return null;
|
||||
}
|
||||
const hourRaw = Number(match[captures.hour_group]);
|
||||
const minute = Number(match[captures.minute_group]);
|
||||
if (!Number.isFinite(hourRaw) || !Number.isFinite(minute)) return null;
|
||||
const ampm =
|
||||
captures.ampm_group !== undefined ? match[captures.ampm_group] : undefined;
|
||||
const hour = to24h(hourRaw, ampm);
|
||||
return `${date}T${String(hour).padStart(2, '0')}:${String(minute).padStart(2, '0')}:00Z`;
|
||||
}
|
||||
|
||||
// Time-only patterns: date from DateContext.
|
||||
if (
|
||||
entry.date_source === 'frontmatter' &&
|
||||
captures.hour_group !== undefined &&
|
||||
captures.minute_group !== undefined
|
||||
) {
|
||||
const hourRaw = Number(match[captures.hour_group]);
|
||||
const minute = Number(match[captures.minute_group]);
|
||||
if (!Number.isFinite(hourRaw) || !Number.isFinite(minute)) return null;
|
||||
const ampm =
|
||||
captures.ampm_group !== undefined ? match[captures.ampm_group] : undefined;
|
||||
const hour = to24h(hourRaw, ampm);
|
||||
return `${dateCtx.fallbackDate}T${String(hour).padStart(2, '0')}:${String(minute).padStart(2, '0')}:00Z`;
|
||||
}
|
||||
|
||||
// No-time patterns (irc-classic): only frontmatter date is
|
||||
// available; anchor every message at 00:00:00 of that day.
|
||||
// Honest: messages lose intra-day ordering, but at least they
|
||||
// parse and the day-level fact attribution is correct.
|
||||
if (entry.date_source === 'frontmatter' && captures.hour_group === undefined) {
|
||||
return `${dateCtx.fallbackDate}T00:00:00Z`;
|
||||
}
|
||||
|
||||
return null;
|
||||
}
|
||||
|
||||
const MONTHS_SHORT = [
|
||||
'jan', 'feb', 'mar', 'apr', 'may', 'jun',
|
||||
'jul', 'aug', 'sep', 'oct', 'nov', 'dec',
|
||||
];
|
||||
function monthNameToIndex(name: string): number {
|
||||
return MONTHS_SHORT.indexOf(name.toLowerCase().slice(0, 3));
|
||||
}
|
||||
|
||||
/**
|
||||
* Apply ONE pattern to the full body. Returns the matched messages
|
||||
* with their ISO timestamps. Handles multi-line continuations per D5.
|
||||
*
|
||||
* For multi_line=true patterns: the regex matches ONLY the FIRST line
|
||||
* of a multi-line message; subsequent lines until the next anchor
|
||||
* (next match or end-of-body) become the body.
|
||||
*
|
||||
* For multi_line=false patterns: the regex matches a complete line;
|
||||
* continuation lines (orphan lines after a match) append to the
|
||||
* previous message's body.
|
||||
*
|
||||
* Exported for unit tests + the eval CLI debug command.
|
||||
*/
|
||||
export function applyPattern(
|
||||
body: string,
|
||||
entry: PatternEntry,
|
||||
dateCtx: DateContext,
|
||||
): MatchedMessage[] {
|
||||
if (!body) return [];
|
||||
const out: MatchedMessage[] = [];
|
||||
const lines = body.split(/\r?\n/);
|
||||
for (let i = 0; i < lines.length; i++) {
|
||||
const rawLine = lines[i];
|
||||
const line = rawLine.trim();
|
||||
if (!line) continue;
|
||||
|
||||
// Quick-reject fast path.
|
||||
if (entry.quick_reject && !entry.quick_reject.test(line)) {
|
||||
// Continuation handling for orphan lines.
|
||||
if (out.length > 0) {
|
||||
out[out.length - 1].text = out[out.length - 1].text
|
||||
? `${out[out.length - 1].text}\n${line}`
|
||||
: line;
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
const m = entry.regex.exec(line);
|
||||
if (m) {
|
||||
const iso = buildIso(m, entry, dateCtx);
|
||||
if (iso === null) continue; // reconstruction failed; skip line
|
||||
const rawSpeaker = m[entry.captures.speaker_group] ?? '';
|
||||
const speaker = cleanSpeaker(rawSpeaker, entry.speaker_clean);
|
||||
let text = '';
|
||||
if (entry.captures.text_group > 0) {
|
||||
text = (m[entry.captures.text_group] ?? '').trim();
|
||||
}
|
||||
// Multi-line patterns: text on next line(s) until next anchor.
|
||||
// (Even when text_group is set, multi_line=true means SUBSEQUENT
|
||||
// non-anchor lines also absorb into this message's body.)
|
||||
out.push({ speaker, timestamp: iso, text });
|
||||
} else if (out.length > 0) {
|
||||
// Continuation line.
|
||||
out[out.length - 1].text = out[out.length - 1].text
|
||||
? `${out[out.length - 1].text}\n${line}`
|
||||
: line;
|
||||
}
|
||||
}
|
||||
return out;
|
||||
}
|
||||
|
||||
/**
|
||||
* Score how well a pattern matches the first N lines of a body (D18).
|
||||
* Returns 0..1 ratio of matched lines. Higher = more confident.
|
||||
*
|
||||
* Quick_reject is honored (lines that don't pass quick_reject still
|
||||
* count as "could be continuation"; not penalized).
|
||||
*
|
||||
* Exported for tests.
|
||||
*/
|
||||
export function scorePattern(body: string, entry: PatternEntry): number {
|
||||
if (!body) return 0;
|
||||
const lines = body
|
||||
.split(/\r?\n/)
|
||||
.map((l) => l.trim())
|
||||
.filter((l) => l.length > 0)
|
||||
.slice(0, SCORING_HEAD_LINES);
|
||||
if (lines.length === 0) return 0;
|
||||
let anchored = 0;
|
||||
for (const line of lines) {
|
||||
if (entry.quick_reject && !entry.quick_reject.test(line)) continue;
|
||||
if (entry.regex.test(line)) anchored++;
|
||||
}
|
||||
return anchored / lines.length;
|
||||
}
|
||||
|
||||
/**
|
||||
* Parse a conversation body into messages. Tries built-in patterns
|
||||
* (minus disabled), then user patterns (D7-validated), then optional
|
||||
* LLM fallback (T4; not yet wired).
|
||||
*
|
||||
* The shape matches PR #1461's `parseConversationMessages(body, opts)`
|
||||
* for back-compat. `extract-conversation-facts.ts` adapts via
|
||||
* `parseConversation(body, { page })` in T5.
|
||||
*/
|
||||
export function parseConversation(
|
||||
body: string,
|
||||
opts: ParseConversationOpts = {},
|
||||
): ParseResult {
|
||||
if (!body) {
|
||||
return { messages: [], phase: 'no_match' };
|
||||
}
|
||||
|
||||
const dateCtx = deriveDateContext(opts);
|
||||
|
||||
// Assemble candidate pool: built-ins (minus disabled) + user patterns.
|
||||
const disabledSet = new Set(opts.disabledBuiltinIds ?? []);
|
||||
const builtinPool = BUILTIN_PATTERNS.filter((p) => !disabledSet.has(p.id));
|
||||
const userPool = opts.userPatterns ?? [];
|
||||
const candidates: readonly PatternEntry[] = [...builtinPool, ...userPool];
|
||||
|
||||
if (candidates.length === 0) {
|
||||
return { messages: [], phase: 'no_match' };
|
||||
}
|
||||
|
||||
// D18: score every candidate; pick the highest. Tie-break on
|
||||
// declared priority order (built-in declaration order; user patterns
|
||||
// lose every tie).
|
||||
type Scored = { entry: PatternEntry; score: number; priority: number };
|
||||
const scored: Scored[] = candidates.map((entry) => ({
|
||||
entry,
|
||||
score: scorePattern(body, entry),
|
||||
priority: priorityOf(entry.id),
|
||||
}));
|
||||
// Sort: score desc, then priority asc.
|
||||
scored.sort((a, b) => {
|
||||
if (b.score !== a.score) return b.score - a.score;
|
||||
return a.priority - b.priority;
|
||||
});
|
||||
|
||||
const top = scored[0];
|
||||
const patternsScored = scored.length;
|
||||
|
||||
// If even the top scorer matches zero lines, no regex won. Caller
|
||||
// may invoke LLM fallback (T4); for now return no_match.
|
||||
if (top.score === 0) {
|
||||
return {
|
||||
messages: [],
|
||||
phase: 'no_match',
|
||||
patterns_scored: patternsScored,
|
||||
unmatched_line_count: opts.diagnostic
|
||||
? body.split(/\r?\n/).filter((l) => l.trim().length > 0).length
|
||||
: undefined,
|
||||
};
|
||||
}
|
||||
|
||||
const messages = applyPattern(body, top.entry, dateCtx);
|
||||
|
||||
// Timezone warning surface (D19).
|
||||
let timezone_warning: string | undefined;
|
||||
if (
|
||||
top.entry.timezone_policy === 'utc_assumed_with_warn' &&
|
||||
!dateCtx.timezone &&
|
||||
messages.length > 0
|
||||
) {
|
||||
timezone_warning = `[conversation-parser] pattern=${top.entry.id} assumed UTC for time-only timestamps; add 'timezone: <IANA>' to page frontmatter for accurate facts`;
|
||||
}
|
||||
|
||||
return {
|
||||
messages,
|
||||
phase: 'regex_match',
|
||||
matched_pattern_id: top.entry.id,
|
||||
patterns_scored: patternsScored,
|
||||
timezone_warning,
|
||||
unmatched_line_count: opts.diagnostic
|
||||
? body
|
||||
.split(/\r?\n/)
|
||||
.filter((l) => l.trim().length > 0).length - messages.length
|
||||
: undefined,
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,216 @@
|
||||
/**
|
||||
* v0.41.16.0 — Conversation parser type surface.
|
||||
*
|
||||
* The orchestrator's contract surface. Built-in patterns + user-
|
||||
* declared simple_patterns + LLM polish + LLM fallback all flow
|
||||
* through the same `ParseResult`.
|
||||
*
|
||||
* Per D4: parser uses `ParsePhase` (per-page axis). The progressive-
|
||||
* batch primitive uses `Stage` (corpus-rollout axis). Different
|
||||
* concepts, different audit JSONLs, no cross-pollution.
|
||||
*
|
||||
* Per D7: every PatternEntry carries `test_positive[]` + `test_negative[]`
|
||||
* so module-load validation runs at startup.
|
||||
*
|
||||
* Per D9: PatternEntry.speaker_clean is optional; orchestrator falls
|
||||
* back to `DEFAULT_SPEAKER_CLEAN`.
|
||||
*
|
||||
* Per D5: every PatternEntry has explicit `multi_line` flag.
|
||||
*
|
||||
* Per D11: every PatternEntry has optional `quick_reject` for O(1)
|
||||
* prefix screening.
|
||||
*
|
||||
* Per D19: every PatternEntry declares `timezone_policy`.
|
||||
*
|
||||
* Per D16: arbitrary user regex is OUT. v1 only supports user-declared
|
||||
* `simple_pattern` (a structured spec compiled by gbrain to a known-
|
||||
* safe regex). The simple_pattern shape lives in `simple-pattern.ts`.
|
||||
*/
|
||||
|
||||
import type { Page } from '../types.ts';
|
||||
|
||||
/**
|
||||
* Parsed message after orchestrator runs. Matches the existing
|
||||
* `ConversationMessage` shape from extract-conversation-facts.ts so
|
||||
* downstream callers don't need adapter code.
|
||||
*/
|
||||
export interface MatchedMessage {
|
||||
speaker: string;
|
||||
/** ISO 8601 timestamp. May be `1970-01-01T00:00:00Z` for time-only
|
||||
* formats when no frontmatter date is available. */
|
||||
timestamp: string;
|
||||
text: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* Which per-page phase produced the result.
|
||||
* - 'regex_match': a built-in or user simple_pattern matched.
|
||||
* - 'polish': LLM polished a regex-matched output.
|
||||
* - 'llm_fallback': all regex paths returned 0 messages; LLM
|
||||
* fallback was called and returned this output.
|
||||
* - 'no_match': nothing parsed; returned [] of messages.
|
||||
*/
|
||||
export type ParsePhase = 'regex_match' | 'polish' | 'llm_fallback' | 'no_match';
|
||||
|
||||
/**
|
||||
* Verdict from the orchestrator. Surfaced in audit JSONL and the
|
||||
* `gbrain conversation-parser scan` debug command.
|
||||
*/
|
||||
export interface ParseResult {
|
||||
messages: MatchedMessage[];
|
||||
/** Which phase produced the final messages. */
|
||||
phase: ParsePhase;
|
||||
/** When phase=regex_match or polish: which pattern won. */
|
||||
matched_pattern_id?: string;
|
||||
/** Number of patterns scored before the winner emerged (D18). */
|
||||
patterns_scored?: number;
|
||||
/** When polish ran: how many messages were merged/dropped/edited. */
|
||||
polish_delta?: {
|
||||
merged: number;
|
||||
dropped: number;
|
||||
edits: number;
|
||||
};
|
||||
/** When llm_fallback ran: model id used. */
|
||||
llm_fallback_model?: string;
|
||||
/** Per-line diagnostics for debug command — only populated when
|
||||
* caller sets `opts.diagnostic = true`. */
|
||||
unmatched_line_count?: number;
|
||||
/** Once-per-page warn from timezone_policy = utc_assumed_with_warn
|
||||
* patterns when no frontmatter timezone is set. */
|
||||
timezone_warning?: string;
|
||||
}
|
||||
|
||||
/**
|
||||
* Source of date for time-only formats. Per D8: orchestrator owns
|
||||
* the derivation chain — caller passes the Page, orchestrator
|
||||
* extracts `frontmatter.date` slice OR `effective_date` OR explicit
|
||||
* fallback OR '1970-01-01'.
|
||||
*/
|
||||
export type DateSource = 'inline' | 'frontmatter' | 'combined';
|
||||
|
||||
/** Time-format flavor a pattern's regex emits. */
|
||||
export type TimeFormat = '12h_ampm' | '24h' | 'unix' | 'rfc2822';
|
||||
|
||||
/**
|
||||
* Per D19: how a pattern handles timezone. The orchestrator uses this
|
||||
* to decide whether to attach a `timezone_warning` to the ParseResult
|
||||
* AND how to construct the ISO timestamp.
|
||||
*/
|
||||
export type TimezonePolicy =
|
||||
| 'inline_utc' // Existing: regex captures full ISO/UTC; trust it.
|
||||
| 'frontmatter_tz' // Caller's frontmatter MUST have `timezone:`; refuse otherwise.
|
||||
| 'utc_assumed_with_warn'; // Default UTC; emit once-per-page warn if no frontmatter timezone.
|
||||
|
||||
/**
|
||||
* Capture-group index map. Each pattern declares where its captures
|
||||
* land in the regex's match array (1-indexed per JS conventions).
|
||||
*
|
||||
* Speaker is always required. Other fields depend on the pattern's
|
||||
* shape:
|
||||
* - inline-date patterns set `date_group`, `hour_group`, `minute_group`.
|
||||
* - time-only patterns omit `date_group` (derived from frontmatter).
|
||||
* - 12h patterns also set `ampm_group`.
|
||||
* - rfc2822 patterns set `date_group` only; orchestrator passes the
|
||||
* captured string to Date.parse().
|
||||
*/
|
||||
export interface CaptureMap {
|
||||
speaker_group: number;
|
||||
text_group: number;
|
||||
date_group?: number;
|
||||
hour_group?: number;
|
||||
minute_group?: number;
|
||||
ampm_group?: number;
|
||||
}
|
||||
|
||||
/**
|
||||
* A built-in pattern OR a user-declared pattern (after `simple_pattern`
|
||||
* compilation).
|
||||
*
|
||||
* Built-ins MUST carry `test_positive` + `test_negative`; module-load
|
||||
* validation runs them via `validatePatternEntry` (D7).
|
||||
*
|
||||
* User patterns from simple_pattern compilation only need test_positive
|
||||
* if the user supplies sample lines.
|
||||
*/
|
||||
export interface PatternEntry {
|
||||
/** Stable kebab-case id. Examples: 'imessage-slack', 'telegram-bracket'. */
|
||||
id: string;
|
||||
/** Built-in vs user-declared (simple_pattern compiled). */
|
||||
origin: 'builtin' | 'user_simple';
|
||||
/**
|
||||
* The line-matching regex. Built-ins are hand-vetted (no ReDoS risk).
|
||||
* User patterns are compiled from `simple_pattern` spec to a known-
|
||||
* safe regex shape.
|
||||
*/
|
||||
regex: RegExp;
|
||||
/** Capture-group index map. */
|
||||
captures: CaptureMap;
|
||||
/** Inline-date vs frontmatter-date vs combined. */
|
||||
date_source: DateSource;
|
||||
/** 12h vs 24h vs unix vs rfc2822. */
|
||||
time_format: TimeFormat;
|
||||
/** D19: timezone handling for time-only formats. */
|
||||
timezone_policy: TimezonePolicy;
|
||||
/**
|
||||
* D5: when true, the regex matches the FIRST line of a multi-line
|
||||
* message; the orchestrator absorbs subsequent lines into
|
||||
* `MatchedMessage.text` until the next anchor.
|
||||
* When false (default), the regex matches a complete one-line
|
||||
* message; continuation logic still applies for orphan lines.
|
||||
*/
|
||||
multi_line: boolean;
|
||||
/**
|
||||
* D11: optional cheap O(1) prefix check. If set, orchestrator runs
|
||||
* this FIRST per line; only tries `regex` if quick_reject matches.
|
||||
* Examples: `/^\*\*\[/` for telegram-bracket.
|
||||
*/
|
||||
quick_reject?: RegExp;
|
||||
/**
|
||||
* D9: optional speaker post-processing. When unset, orchestrator
|
||||
* uses `DEFAULT_SPEAKER_CLEAN`.
|
||||
*/
|
||||
speaker_clean?: RegExp;
|
||||
/** D7: module-load validation — known-positive sample lines. */
|
||||
test_positive: string[];
|
||||
/** D7: module-load validation — known-negative sample lines. */
|
||||
test_negative: string[];
|
||||
/** Documentation pointer for future maintainers. */
|
||||
source_doc?: string;
|
||||
}
|
||||
|
||||
/** Caller opts for `parseConversation`. */
|
||||
export interface ParseConversationOpts {
|
||||
/**
|
||||
* Per D8: the Page object. Orchestrator extracts date + timezone +
|
||||
* effective_date from frontmatter. When unset, orchestrator uses
|
||||
* `explicitFallbackDate` (next) then '1970-01-01'.
|
||||
*/
|
||||
page?: Page;
|
||||
/**
|
||||
* Explicit ISO date `YYYY-MM-DD` override. Surfaces for callers
|
||||
* (eval CLI, debug command) that don't have a full Page.
|
||||
* Surfaces as `ParseConversationOpts.fallbackDate` for back-compat
|
||||
* with PR #1461's shape.
|
||||
*/
|
||||
fallbackDate?: string;
|
||||
/** When true, populate `ParseResult.unmatched_line_count`. Debug only. */
|
||||
diagnostic?: boolean;
|
||||
/** When true, skip LLM polish even if config enables it. */
|
||||
noPolish?: boolean;
|
||||
/** When true, skip LLM fallback even if config enables it. */
|
||||
noFallback?: boolean;
|
||||
/** Caller-supplied patterns to add (e.g. user simple_pattern compiled). */
|
||||
userPatterns?: readonly PatternEntry[];
|
||||
/** Caller-supplied disabled-builtin id list (config or per-call). */
|
||||
disabledBuiltinIds?: readonly string[];
|
||||
}
|
||||
|
||||
/** Resolved date + timezone for a Page, per D8 derivation chain. */
|
||||
export interface DateContext {
|
||||
/** ISO YYYY-MM-DD string. */
|
||||
fallbackDate: string;
|
||||
/** IANA timezone (e.g. 'America/Los_Angeles') or undefined. */
|
||||
timezone?: string;
|
||||
/** Which step of the derivation chain won (for debug). */
|
||||
source: 'frontmatter_date' | 'effective_date' | 'explicit' | 'epoch_default';
|
||||
}
|
||||
@@ -14,6 +14,14 @@
|
||||
* Independent of the runner's `--budget-usd` hard cap: this prompt informs;
|
||||
* the cap enforces. Both layers compose — operator sees the estimate, then
|
||||
* the runner halts mid-run if the live cost exceeds the cap.
|
||||
*
|
||||
* @deprecated v0.41.13.0 T16: this module is slated for delete in
|
||||
* v0.41.14.0+ once `gbrain eval suspected-contradictions` is fully
|
||||
* retrofitted onto `src/core/progressive-batch/` (the primitive's
|
||||
* stage-report subsumes this prompt's UX). v0.41.13.0 leaves the
|
||||
* module + its 1 caller unchanged for behavior parity; the retrofit
|
||||
* needs a sampling-stage-aware design pass that didn't fit this PR.
|
||||
* See TODOS.md: "v0.41.14.0: 9-site progressive-batch retrofit".
|
||||
*/
|
||||
|
||||
import type { BrainEngine } from '../engine.ts';
|
||||
|
||||
+51
-13
@@ -4522,11 +4522,6 @@ export const MIGRATIONS: Migration[] = [
|
||||
// The Postgres path uses CREATE INDEX CONCURRENTLY (with `transaction:
|
||||
// false` so postgres.js doesn't wrap an implicit BEGIN) and pre-drops
|
||||
// any invalid remnant from a prior failed CONCURRENTLY attempt.
|
||||
//
|
||||
// Slot history: originally v95, bumped to v96 after master's #1442
|
||||
// landed (links CHECK widening), then bumped to v97 after master's
|
||||
// v0.41.11.0 (#1446) claimed v96 for the facts conversation index.
|
||||
// Migration content unchanged across renumbers.
|
||||
sql: '',
|
||||
transaction: false,
|
||||
handler: async (engine) => {
|
||||
@@ -4585,20 +4580,63 @@ export const MIGRATIONS: Migration[] = [
|
||||
// either complete (lock released) OR genuinely wedged (--max-age
|
||||
// does the right thing on the next operator command).
|
||||
//
|
||||
// CHANGELOG documents the rollout caveat: 30-min window where
|
||||
// --max-age cannot identify wedged pre-upgrade holders; operators
|
||||
// hitting that window use --force-break-lock instead.
|
||||
//
|
||||
// Engine parity: same ALTER TABLE shape works on Postgres + PGLite.
|
||||
// The column is nullable; existing reads that don't SELECT it stay
|
||||
// valid. Forward-reference bootstrap not required because new code
|
||||
// that reads the column (inspectLock, deleteLockRowIfStale,
|
||||
// listStaleLocks Postgres path) only runs after this migration.
|
||||
sql: `
|
||||
ALTER TABLE gbrain_cycle_locks ADD COLUMN IF NOT EXISTS last_refreshed_at TIMESTAMPTZ;
|
||||
UPDATE gbrain_cycle_locks SET last_refreshed_at = NOW() WHERE last_refreshed_at IS NULL;
|
||||
`,
|
||||
},
|
||||
{
|
||||
version: 99,
|
||||
name: 'conversation_parser_llm_cache_table',
|
||||
// v0.41.16.0 — content-hash-keyed cache for the conversation
|
||||
// parser's LLM polish + fallback calls. Per D17 (codex outside
|
||||
// voice), there is NO conversation_parser_inferred_patterns
|
||||
// table: persisting LLM-inferred regex from a 20-line sample
|
||||
// and applying it to whole pages + future pages is a silent
|
||||
// corruption machine. Cache shape is per-page-content-hash;
|
||||
// re-running the dream cycle on the same haystack is a hit;
|
||||
// a different page with the same format misses the cache and
|
||||
// calls the LLM again (cost-bounded by BudgetTracker).
|
||||
//
|
||||
// Key is (content_sha256, model_id, call_shape).
|
||||
// - content_sha256: sha256 of the page body the LLM saw.
|
||||
// - model_id: provider:model the call routed through (so a
|
||||
// model upgrade invalidates stale entries naturally).
|
||||
// - call_shape: 'polish' | 'fallback' so the same content
|
||||
// can be cached differently per call kind.
|
||||
//
|
||||
// Slot history: originally v97, bumped to v98 after master's
|
||||
// v0.41.13.0 (#1422 fix-wave) claimed v97 for the dedup index,
|
||||
// bumped to v99 after master's v0.41.15.0 (#1506 sync RFC)
|
||||
// claimed v98 for the lock-refresh column.
|
||||
sql: `
|
||||
CREATE TABLE IF NOT EXISTS conversation_parser_llm_cache (
|
||||
content_sha256 TEXT NOT NULL,
|
||||
model_id TEXT NOT NULL,
|
||||
call_shape TEXT NOT NULL CHECK (call_shape IN ('polish', 'fallback')),
|
||||
value_json JSONB NOT NULL,
|
||||
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
PRIMARY KEY (content_sha256, model_id, call_shape)
|
||||
);
|
||||
CREATE INDEX IF NOT EXISTS idx_conversation_parser_llm_cache_created
|
||||
ON conversation_parser_llm_cache (created_at);
|
||||
`,
|
||||
sqlFor: {
|
||||
pglite: `
|
||||
CREATE TABLE IF NOT EXISTS conversation_parser_llm_cache (
|
||||
content_sha256 TEXT NOT NULL,
|
||||
model_id TEXT NOT NULL,
|
||||
call_shape TEXT NOT NULL CHECK (call_shape IN ('polish', 'fallback')),
|
||||
value_json JSONB NOT NULL,
|
||||
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
PRIMARY KEY (content_sha256, model_id, call_shape)
|
||||
);
|
||||
CREATE INDEX IF NOT EXISTS idx_conversation_parser_llm_cache_created
|
||||
ON conversation_parser_llm_cache (created_at);
|
||||
`,
|
||||
},
|
||||
},
|
||||
];
|
||||
|
||||
export const LATEST_VERSION = MIGRATIONS.length > 0
|
||||
|
||||
@@ -1,4 +1,12 @@
|
||||
/**
|
||||
* v0.41.13.0 T18 retrofit note: this is a Minion HANDLER, not a CLI
|
||||
* batch loop. The progressive-batch primitive's stage model (trial →
|
||||
* ramp → full) doesn't fit Minion handler semantics (one job per page,
|
||||
* worker-driven). The primitive's audit + cost-cap value lives at the
|
||||
* SUBMITTER side (`gbrain reindex --markdown`, which IS retrofitted in
|
||||
* T11), not at the handler. The handler already routes its cost through
|
||||
* the global Haiku rate-leaser (D26 P0-3). No further retrofit needed.
|
||||
*
|
||||
* v0.40.3.0 — Minion handler for per-page contextual retrieval re-embed.
|
||||
*
|
||||
* One job per page (D10). Submitted by:
|
||||
|
||||
@@ -116,6 +116,17 @@ export interface PromptResult {
|
||||
* - GBRAIN_NO_REEMBED=1 → bail out entirely (writes a doctor warning marker).
|
||||
* - GBRAIN_REEMBED_GRACE_SECONDS=0 → skip wait (proceed immediately).
|
||||
* - Non-TTY (CI / cron) → skip wait, proceed.
|
||||
*
|
||||
* v0.41.13.0 T13 retrofit relationship: this prompt is a pre-flight gate
|
||||
* for `gbrain reindex --markdown` (which is a separate site we retrofitted
|
||||
* onto the progressive-batch primitive — see T11 in reindex.ts). The
|
||||
* underlying reindex sweep now writes progressive-batch audit JSONL +
|
||||
* cost-cap gating; this prompt remains as the operator-facing cost
|
||||
* estimate before that work starts. The `GBRAIN_NO_REEMBED=1` env var
|
||||
* remains the authoritative bail-out at THIS layer; the
|
||||
* `GBRAIN_PROGRESSIVE_BATCH_DISABLED=1` env var at the reindex layer
|
||||
* is a different toggle (skips ramp within reindex but doesn't bail
|
||||
* out the whole cycle).
|
||||
*/
|
||||
export async function runPostUpgradeReembedPrompt(
|
||||
engine: BrainEngine,
|
||||
|
||||
@@ -0,0 +1,71 @@
|
||||
/**
|
||||
* v0.41.16.0 — Progressive-batch audit JSONL writer.
|
||||
*
|
||||
* Wraps the shared `createAuditWriter` primitive (v0.40.4.0) for the
|
||||
* progressive-batch trail. ISO-week-rotated at
|
||||
* `~/.gbrain/audit/progressive-batch-YYYY-Www.jsonl`. Honors
|
||||
* `GBRAIN_AUDIT_DIR` via the shared resolver.
|
||||
*
|
||||
* Records one event per stage transition (including the final
|
||||
* verdict's stage). The doctor check `progressive_batch_audit_health`
|
||||
* reads the last 7 days and surfaces operations that aborted with
|
||||
* `abort_*` verdicts so operators see what went wrong without grep'ing
|
||||
* the JSONL by hand.
|
||||
*
|
||||
* Best-effort: write failures stderr-warn but never throw. Matches
|
||||
* every other audit-writer consumer's posture.
|
||||
*/
|
||||
|
||||
import { createAuditWriter } from '../audit/audit-writer.ts';
|
||||
import type {
|
||||
AbortReason,
|
||||
Stage,
|
||||
StageVerdict,
|
||||
} from './types.ts';
|
||||
|
||||
/**
|
||||
* One event per stage. Schema_version stamped so future renames stay
|
||||
* detectable.
|
||||
*/
|
||||
export interface ProgressiveBatchAuditEvent {
|
||||
ts: string;
|
||||
schema_version: 1;
|
||||
operation_id: string;
|
||||
label: string;
|
||||
stage: Stage;
|
||||
items_in_stage: number;
|
||||
items_processed_cumulative: number;
|
||||
total_items: number;
|
||||
verdict: StageVerdict;
|
||||
abort_reason?: AbortReason;
|
||||
error_rate: number;
|
||||
cost_running_usd: number;
|
||||
cost_projected_full_usd: number;
|
||||
delta_observed?: number;
|
||||
delta_expected?: number | null;
|
||||
stage_ms: number;
|
||||
quality_reasons?: string[];
|
||||
}
|
||||
|
||||
const writer = createAuditWriter<ProgressiveBatchAuditEvent>({
|
||||
featureName: 'progressive-batch',
|
||||
errorLabel: 'progressive-batch-audit',
|
||||
errorTrailer: '; run continues',
|
||||
});
|
||||
|
||||
export function logProgressiveBatchEvent(
|
||||
event: Omit<ProgressiveBatchAuditEvent, 'ts' | 'schema_version'>,
|
||||
): void {
|
||||
writer.log({ ...event, schema_version: 1 });
|
||||
}
|
||||
|
||||
export function readRecentProgressiveBatchEvents(
|
||||
days = 7,
|
||||
now?: Date,
|
||||
): ProgressiveBatchAuditEvent[] {
|
||||
return writer.readRecent(days, now);
|
||||
}
|
||||
|
||||
export function computeProgressiveBatchAuditFilename(now?: Date): string {
|
||||
return writer.computeFilename(now);
|
||||
}
|
||||
@@ -0,0 +1,778 @@
|
||||
/**
|
||||
* v0.41.16.0 — Progressive-batch primitive orchestrator.
|
||||
*
|
||||
* The single seam every batch-style gbrain operation routes through.
|
||||
* Replaces 12+ ad-hoc cost-prompt / TTY-grace / ramp-up patterns
|
||||
* scattered across reindex, reindex-multimodal, book-mirror,
|
||||
* brainstorm, eval-suspected-contradictions, post-upgrade-reembed,
|
||||
* and the new conversation-facts cathedral.
|
||||
*
|
||||
* Contract (eng review D2 + D3 + D20 + D21):
|
||||
*
|
||||
* 1. Single orchestrator + verifier+policy injection. Callers
|
||||
* describe *how to measure success*, not *when to wait for
|
||||
* Ctrl-C*.
|
||||
*
|
||||
* 2. Fail-CLOSED budget gate (D3). Reads
|
||||
* `getCurrentBudgetTracker()` ahead of Policy.maxCostUsd. When
|
||||
* BOTH are null, the primitive aborts at stage 0 with
|
||||
* `abort_cost_cap reason='no_budget_safety_net'`. Caller must
|
||||
* explicitly opt out via `Policy.requireBudgetSafetyNet: false`
|
||||
* (documented in the retrofit's commit message).
|
||||
*
|
||||
* 3. Discriminated-union verifier (D20). Output-count + idempotent-
|
||||
* mutation + noop shapes all fit. No round-peg-square-hole.
|
||||
*
|
||||
* 4. Honest behavior preservation (D21). `Policy.interactiveAbortMs:
|
||||
* 0` skips the ramp; sites that previously jumped to full keep
|
||||
* doing so. Audit + cost-cap still apply.
|
||||
*
|
||||
* Stages (4): trial(10), ramp_100(100), ramp_500(500), full(rest).
|
||||
* Stage counts override-able via Policy.stages OR env var
|
||||
* `GBRAIN_PROGRESSIVE_BATCH_STAGES=10,100,500`.
|
||||
*
|
||||
* Env overrides:
|
||||
* - GBRAIN_PROGRESSIVE_BATCH_DISABLED=1 — skip ramp, go to full,
|
||||
* stderr-warn at orchestrator entry.
|
||||
* - GBRAIN_PROGRESSIVE_BATCH_AUTO=1 — skip interactive grace
|
||||
* window (cron / launchd / Minion workers).
|
||||
* - GBRAIN_PROGRESSIVE_BATCH_STAGES=10,100,500 — override default
|
||||
* stage list.
|
||||
*/
|
||||
|
||||
import { getCurrentBudgetTracker } from '../ai/gateway.ts';
|
||||
import type { BudgetTracker } from '../budget/budget-tracker.ts';
|
||||
import { logProgressiveBatchEvent } from './audit.ts';
|
||||
import { defaultStageReport } from './stage-report.ts';
|
||||
import type {
|
||||
AbortReason,
|
||||
Policy,
|
||||
ProgressiveBatchResult,
|
||||
Stage,
|
||||
StageReport,
|
||||
StageRunner,
|
||||
StageVerdict,
|
||||
Verifier,
|
||||
} from './types.ts';
|
||||
|
||||
/** Default stage item counts. `full` is implicit (the remainder). */
|
||||
const DEFAULT_STAGES = [10, 100, 500] as const;
|
||||
|
||||
/** Per-spec: the 4 stage labels. Length matches DEFAULT_STAGES + 'full'. */
|
||||
const STAGE_LABELS: readonly Stage[] = ['trial', 'ramp_100', 'ramp_500', 'full'];
|
||||
|
||||
/**
|
||||
* Generate a short operation id (8 hex chars). Used when caller
|
||||
* doesn't pass Policy.operationId. Deterministic only within a
|
||||
* process; collisions across processes are fine because we always
|
||||
* include the timestamp in the audit row.
|
||||
*/
|
||||
function generateOperationId(): string {
|
||||
// Math.random is fine; this is a trace id, not a security token.
|
||||
return Math.floor(Math.random() * 0xffffffff)
|
||||
.toString(16)
|
||||
.padStart(8, '0');
|
||||
}
|
||||
|
||||
/**
|
||||
* Parse `GBRAIN_PROGRESSIVE_BATCH_STAGES` env override.
|
||||
* Returns null when unset / invalid (caller falls through to
|
||||
* Policy.stages or DEFAULT_STAGES).
|
||||
*
|
||||
* Exported for unit tests.
|
||||
*/
|
||||
export function parseEnvStages(raw: string | undefined): number[] | null {
|
||||
if (!raw) return null;
|
||||
const trimmed = raw.trim();
|
||||
if (trimmed.length === 0) return null;
|
||||
const parts = trimmed.split(',').map((p) => p.trim());
|
||||
const nums: number[] = [];
|
||||
for (const p of parts) {
|
||||
if (!/^[1-9]\d*$/.test(p)) return null; // strict positive int
|
||||
nums.push(Number(p));
|
||||
}
|
||||
return nums.length > 0 ? nums : null;
|
||||
}
|
||||
|
||||
/**
|
||||
* Resolve the stage item-count list. Precedence:
|
||||
* 1. env GBRAIN_PROGRESSIVE_BATCH_STAGES (if parseable)
|
||||
* 2. Policy.stages
|
||||
* 3. DEFAULT_STAGES ([10, 100, 500])
|
||||
*
|
||||
* Empty list means "skip ramp, go straight to full".
|
||||
* Exported for unit tests.
|
||||
*/
|
||||
export function resolveStages(policy: Policy): number[] {
|
||||
const envStages = parseEnvStages(process.env.GBRAIN_PROGRESSIVE_BATCH_STAGES);
|
||||
if (envStages !== null) return envStages;
|
||||
if (policy.stages !== undefined) return policy.stages;
|
||||
return [...DEFAULT_STAGES];
|
||||
}
|
||||
|
||||
/**
|
||||
* Resolve the effective cost cap. Precedence (D3):
|
||||
*
|
||||
* - When `Policy.requireBudgetSafetyNet === false`: returns the cap
|
||||
* as-is. May be Infinity (uncapped) or a number. Caller opted
|
||||
* out of safety; their problem.
|
||||
*
|
||||
* - Otherwise: the LOWER of `Policy.maxCostUsd` and the active
|
||||
* BudgetTracker's remaining headroom. If BOTH are absent → return
|
||||
* null to signal D3 abort condition.
|
||||
*
|
||||
* Exported for unit tests.
|
||||
*/
|
||||
export function resolveCostCap(
|
||||
policy: Policy,
|
||||
tracker: BudgetTracker | null,
|
||||
): { capUsd: number; source: 'policy' | 'tracker' | 'min' | 'uncapped' } | null {
|
||||
// Opt-out: caller takes responsibility.
|
||||
if (policy.requireBudgetSafetyNet === false) {
|
||||
if (policy.maxCostUsd !== undefined) {
|
||||
return { capUsd: policy.maxCostUsd, source: 'policy' };
|
||||
}
|
||||
return { capUsd: Infinity, source: 'uncapped' };
|
||||
}
|
||||
|
||||
const policyCap = policy.maxCostUsd;
|
||||
const trackerCap = tracker ? trackerHeadroom(tracker) : null;
|
||||
|
||||
if (policyCap === undefined && trackerCap === null) {
|
||||
// D3 fail-closed: neither tracker nor explicit cap → abort.
|
||||
return null;
|
||||
}
|
||||
if (policyCap !== undefined && trackerCap === null) {
|
||||
return { capUsd: policyCap, source: 'policy' };
|
||||
}
|
||||
if (policyCap === undefined && trackerCap !== null) {
|
||||
return { capUsd: trackerCap, source: 'tracker' };
|
||||
}
|
||||
// Both set: the lower wins (caller can voluntarily cap tighter).
|
||||
const minCap = Math.min(policyCap!, trackerCap!);
|
||||
return { capUsd: minCap, source: minCap === policyCap ? 'policy' : 'min' };
|
||||
}
|
||||
|
||||
/**
|
||||
* Tracker headroom = max cap - already-spent. Returns null if the
|
||||
* tracker has no cap configured.
|
||||
*/
|
||||
function trackerHeadroom(tracker: BudgetTracker): number | null {
|
||||
const snapshot = tracker.snapshot();
|
||||
if (snapshot.maxCostUsd === undefined) return null;
|
||||
return Math.max(0, snapshot.maxCostUsd - snapshot.cumulativeCostUsd);
|
||||
}
|
||||
|
||||
/**
|
||||
* Detect TTY for interactive grace. Skips when stdin OR stdout is
|
||||
* not a TTY (e.g. piped output, cron, launchd, Minion workers).
|
||||
*
|
||||
* GBRAIN_PROGRESSIVE_BATCH_AUTO=1 forces non-interactive.
|
||||
*/
|
||||
function isInteractive(): boolean {
|
||||
if (process.env.GBRAIN_PROGRESSIVE_BATCH_AUTO === '1') return false;
|
||||
return Boolean(process.stdin.isTTY && process.stderr.isTTY);
|
||||
}
|
||||
|
||||
/**
|
||||
* Wait up to `ms` for a Ctrl-C (SIGINT). Resolves to `true` if
|
||||
* SIGINT was received (caller should abort). Resolves to `false`
|
||||
* if the timeout elapsed without interrupt.
|
||||
*
|
||||
* Defensively removes its listener on exit so other gbrain handlers
|
||||
* don't see double-delivery.
|
||||
*
|
||||
* Exported for unit tests (call with ms=0 to short-circuit).
|
||||
*/
|
||||
export function awaitInteractiveAbort(ms: number): Promise<boolean> {
|
||||
if (ms <= 0) return Promise.resolve(false);
|
||||
return new Promise<boolean>((resolve) => {
|
||||
let resolved = false;
|
||||
const onSigint = () => {
|
||||
if (resolved) return;
|
||||
resolved = true;
|
||||
process.off('SIGINT', onSigint);
|
||||
clearTimeout(timer);
|
||||
resolve(true);
|
||||
};
|
||||
const timer = setTimeout(() => {
|
||||
if (resolved) return;
|
||||
resolved = true;
|
||||
process.off('SIGINT', onSigint);
|
||||
resolve(false);
|
||||
}, ms);
|
||||
process.on('SIGINT', onSigint);
|
||||
});
|
||||
}
|
||||
|
||||
/**
|
||||
* Slice items into per-stage chunks. The final stage gets all
|
||||
* remaining items (the "full" stage).
|
||||
*
|
||||
* Examples:
|
||||
* - 1000 items, stages=[10,100,500] → [[0..10],[10..110],[110..610],[610..1000]]
|
||||
* - 50 items, stages=[10,100,500] → [[0..10],[10..50],[],[]]
|
||||
* (ramp_100 takes all remaining; ramp_500 + full are empty)
|
||||
* - 5 items, stages=[10,100,500] → [[0..5],[],[],[]]
|
||||
* - 1000 items, stages=[] → [[],[],[],[0..1000]] (skip ramp)
|
||||
*
|
||||
* Empty slices result in a fast-pass through that stage (verdict
|
||||
* proceed, zero cost, zero delta).
|
||||
*
|
||||
* Exported for unit tests.
|
||||
*/
|
||||
export function sliceIntoStages<T>(
|
||||
items: T[],
|
||||
stages: number[],
|
||||
): { trial: T[]; ramp_100: T[]; ramp_500: T[]; full: T[] } {
|
||||
const result: { trial: T[]; ramp_100: T[]; ramp_500: T[]; full: T[] } = {
|
||||
trial: [],
|
||||
ramp_100: [],
|
||||
ramp_500: [],
|
||||
full: [],
|
||||
};
|
||||
// If stages array is empty, dump everything into 'full'.
|
||||
if (stages.length === 0) {
|
||||
result.full = items.slice();
|
||||
return result;
|
||||
}
|
||||
let cursor = 0;
|
||||
const stageNames: ('trial' | 'ramp_100' | 'ramp_500')[] = [
|
||||
'trial',
|
||||
'ramp_100',
|
||||
'ramp_500',
|
||||
];
|
||||
for (let i = 0; i < stageNames.length; i++) {
|
||||
const stageCount = stages[i];
|
||||
if (stageCount === undefined) break; // policy provided fewer than 3 ramp stages
|
||||
const next = Math.min(cursor + stageCount, items.length);
|
||||
result[stageNames[i]] = items.slice(cursor, next);
|
||||
cursor = next;
|
||||
}
|
||||
result.full = items.slice(cursor);
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* Verifier-specific delta computation. Returns
|
||||
* { observed, expected, verdict, reasons? }. The orchestrator passes
|
||||
* the verdict directly to the stage report.
|
||||
*/
|
||||
async function evaluateVerifier(
|
||||
verifier: Verifier,
|
||||
stage: Stage,
|
||||
itemsThisStage: number,
|
||||
countsBefore: number,
|
||||
mutationsBefore: number,
|
||||
): Promise<{
|
||||
observed?: number;
|
||||
expected?: number | null;
|
||||
qualityVerdict: { ok: boolean; reasons?: string[] };
|
||||
verdict: StageVerdict;
|
||||
reason?: AbortReason;
|
||||
newMutationsBefore?: number;
|
||||
}> {
|
||||
let observed: number | undefined;
|
||||
let expected: number | null = null;
|
||||
let countMismatchVerdict: StageVerdict | null = null;
|
||||
let countMismatchReason: AbortReason | undefined;
|
||||
let newMutationsBefore: number | undefined;
|
||||
|
||||
switch (verifier.kind) {
|
||||
case 'output_count': {
|
||||
const after = await verifier.countAfter();
|
||||
observed = after - countsBefore;
|
||||
expected = verifier.expectedDelta(itemsThisStage);
|
||||
if (expected !== null) {
|
||||
// ±10% band (we deliberately don't make this configurable in
|
||||
// v1; D11 quick_reject + D18 priority scoring should keep
|
||||
// observed close to expected on real corpora).
|
||||
const lower = Math.floor(expected * 0.9);
|
||||
const upper = Math.ceil(expected * 1.1);
|
||||
if (observed < lower || observed > upper) {
|
||||
countMismatchVerdict = 'abort_count_mismatch';
|
||||
countMismatchReason = 'count_delta_outside_band';
|
||||
}
|
||||
}
|
||||
break;
|
||||
}
|
||||
case 'idempotent_mutation': {
|
||||
// Delta semantics: caller's mutatedCount() returns the CUMULATIVE
|
||||
// mutation counter; the orchestrator computes per-stage delta
|
||||
// against the prior snapshot. Mirrors output_count's
|
||||
// countBefore/countAfter pattern (D20 #1 fix: the v1 absolute-
|
||||
// comparison shape was wrong on stage 2+).
|
||||
const mutated = await verifier.mutatedCount();
|
||||
observed = mutated - mutationsBefore;
|
||||
const expectedFn = verifier.expectedMutations ?? ((p: number) => p);
|
||||
expected = expectedFn(itemsThisStage);
|
||||
newMutationsBefore = mutated;
|
||||
if (expected !== null) {
|
||||
const lower = Math.floor(expected * 0.9);
|
||||
const upper = Math.ceil(expected * 1.1);
|
||||
if (observed < lower || observed > upper) {
|
||||
countMismatchVerdict = 'abort_mutation_mismatch';
|
||||
countMismatchReason = 'mutation_count_outside_band';
|
||||
}
|
||||
}
|
||||
break;
|
||||
}
|
||||
case 'noop': {
|
||||
// No count check; just maybe sampleQuality.
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
// Quality sample: only for verifiers that opt in (noop is optional).
|
||||
let qualityVerdict: { ok: boolean; reasons?: string[] } = { ok: true };
|
||||
if (
|
||||
verifier.kind === 'output_count' ||
|
||||
verifier.kind === 'idempotent_mutation' ||
|
||||
(verifier.kind === 'noop' && verifier.sampleQuality !== undefined)
|
||||
) {
|
||||
try {
|
||||
qualityVerdict =
|
||||
verifier.kind === 'noop'
|
||||
? await verifier.sampleQuality!()
|
||||
: await verifier.sampleQuality();
|
||||
} catch (err) {
|
||||
qualityVerdict = {
|
||||
ok: false,
|
||||
reasons: [`sampleQuality threw: ${(err as Error).message}`],
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
if (countMismatchVerdict !== null) {
|
||||
return {
|
||||
observed,
|
||||
expected,
|
||||
qualityVerdict,
|
||||
verdict: countMismatchVerdict,
|
||||
reason: countMismatchReason,
|
||||
newMutationsBefore,
|
||||
};
|
||||
}
|
||||
if (!qualityVerdict.ok) {
|
||||
return {
|
||||
observed,
|
||||
expected,
|
||||
qualityVerdict,
|
||||
verdict: 'abort_data_quality',
|
||||
reason: 'data_quality_sample_failed',
|
||||
newMutationsBefore,
|
||||
};
|
||||
}
|
||||
return {
|
||||
observed,
|
||||
expected,
|
||||
qualityVerdict,
|
||||
verdict: 'proceed',
|
||||
newMutationsBefore,
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Run a batch through progressive stages with verification + cost
|
||||
* gating + audit. See module header for full contract.
|
||||
*
|
||||
* Generic over the caller's item type `T`. The orchestrator never
|
||||
* inspects items directly; the caller's `StageRunner` does.
|
||||
*
|
||||
* Always returns a `ProgressiveBatchResult`. Throws only on
|
||||
* unrecoverable conditions (verifier itself throwing during pre-flight
|
||||
* `countBefore`). Stage-time exceptions inside the runner are caught
|
||||
* and reported via the per-stage error rate; the orchestrator may
|
||||
* still proceed if rate stays under cap.
|
||||
*/
|
||||
export async function runProgressiveBatch<T>(
|
||||
items: T[],
|
||||
verifier: Verifier,
|
||||
policy: Policy,
|
||||
runner: StageRunner<T>,
|
||||
): Promise<ProgressiveBatchResult> {
|
||||
const operationId = policy.operationId ?? generateOperationId();
|
||||
const label = policy.label;
|
||||
const totalItems = items.length;
|
||||
const startedAt = Date.now();
|
||||
const stageReports: StageReport[] = [];
|
||||
let cumulativeProcessed = 0;
|
||||
let cumulativeCost = 0;
|
||||
let cumulativeFailures = 0;
|
||||
let cumulativeAttempts = 0;
|
||||
|
||||
// Resolve env-driven disable BEFORE anything else.
|
||||
const disabled = process.env.GBRAIN_PROGRESSIVE_BATCH_DISABLED === '1';
|
||||
if (disabled) {
|
||||
process.stderr.write(
|
||||
`[progressive-batch] DISABLED via GBRAIN_PROGRESSIVE_BATCH_DISABLED=1 — skipping ramp for label=${label}\n`,
|
||||
);
|
||||
}
|
||||
|
||||
const tracker = getCurrentBudgetTracker();
|
||||
const capResult = resolveCostCap(policy, tracker);
|
||||
|
||||
// D3 fail-closed safety net.
|
||||
if (capResult === null) {
|
||||
const report: StageReport = {
|
||||
operationId,
|
||||
label,
|
||||
stage: 'trial',
|
||||
itemsInStage: 0,
|
||||
itemsProcessedCumulative: 0,
|
||||
totalItems,
|
||||
verdict: 'abort_cost_cap',
|
||||
abortReason: 'no_budget_safety_net',
|
||||
errorRate: 0,
|
||||
costEstimateRunningUsd: 0,
|
||||
costProjectedFullUsd: 0,
|
||||
stageMs: 0,
|
||||
};
|
||||
stageReports.push(report);
|
||||
logProgressiveBatchEvent({
|
||||
operation_id: operationId,
|
||||
label,
|
||||
stage: 'trial',
|
||||
items_in_stage: 0,
|
||||
items_processed_cumulative: 0,
|
||||
total_items: totalItems,
|
||||
verdict: 'abort_cost_cap',
|
||||
abort_reason: 'no_budget_safety_net',
|
||||
error_rate: 0,
|
||||
cost_running_usd: 0,
|
||||
cost_projected_full_usd: 0,
|
||||
stage_ms: 0,
|
||||
});
|
||||
await emitStageReport(policy, report);
|
||||
return {
|
||||
operationId,
|
||||
label,
|
||||
totalItems,
|
||||
itemsProcessed: 0,
|
||||
stagesCompleted: [],
|
||||
abortedAt: {
|
||||
stage: 'trial',
|
||||
verdict: 'abort_cost_cap',
|
||||
reason: 'no_budget_safety_net',
|
||||
},
|
||||
totalCostUsd: 0,
|
||||
durationMs: Date.now() - startedAt,
|
||||
stageReports,
|
||||
};
|
||||
}
|
||||
|
||||
const effectiveCapUsd = capResult.capUsd;
|
||||
|
||||
// Capture pre-flight countBefore for output-count verifiers — used
|
||||
// by every stage so we can compute cumulative delta correctly.
|
||||
// For idempotent_mutation we also track a per-stage mutation snapshot
|
||||
// (the orchestrator updates it after each stage's verifier call).
|
||||
let countBefore = 0;
|
||||
let mutationsBefore = 0;
|
||||
if (verifier.kind === 'output_count') {
|
||||
countBefore = await verifier.countBefore();
|
||||
} else if (verifier.kind === 'idempotent_mutation') {
|
||||
mutationsBefore = await verifier.mutatedCount();
|
||||
}
|
||||
|
||||
// Determine the stage list. If disabled, only 'full' runs (slice all
|
||||
// into 'full', skip ramp).
|
||||
const stages = disabled ? [] : resolveStages(policy);
|
||||
const slices = sliceIntoStages(items, stages);
|
||||
const stageSequence: { stage: Stage; slice: T[] }[] = [
|
||||
{ stage: 'trial', slice: slices.trial },
|
||||
{ stage: 'ramp_100', slice: slices.ramp_100 },
|
||||
{ stage: 'ramp_500', slice: slices.ramp_500 },
|
||||
{ stage: 'full', slice: slices.full },
|
||||
];
|
||||
|
||||
const stagesCompleted: Stage[] = [];
|
||||
const interactiveMs = policy.interactiveAbortMs ?? 0;
|
||||
const interactiveOn = interactiveMs > 0 && isInteractive() && !disabled;
|
||||
const maxErrorRate = policy.maxErrorRate ?? 0.02;
|
||||
|
||||
for (let i = 0; i < stageSequence.length; i++) {
|
||||
const { stage, slice } = stageSequence[i];
|
||||
if (slice.length === 0) {
|
||||
// Fast-pass: empty stage. Don't write an audit event for noise
|
||||
// suppression unless the stage is 'full' AND total items is 0
|
||||
// (which is a degenerate but observable case).
|
||||
if (stage === 'full' && totalItems === 0) {
|
||||
// Single audit row to mark the run happened with zero items.
|
||||
const r: StageReport = {
|
||||
operationId,
|
||||
label,
|
||||
stage,
|
||||
itemsInStage: 0,
|
||||
itemsProcessedCumulative: 0,
|
||||
totalItems: 0,
|
||||
verdict: 'proceed',
|
||||
errorRate: 0,
|
||||
costEstimateRunningUsd: 0,
|
||||
costProjectedFullUsd: 0,
|
||||
stageMs: 0,
|
||||
};
|
||||
stageReports.push(r);
|
||||
await emitStageReport(policy, r);
|
||||
logProgressiveBatchEvent({
|
||||
operation_id: operationId,
|
||||
label,
|
||||
stage,
|
||||
items_in_stage: 0,
|
||||
items_processed_cumulative: 0,
|
||||
total_items: 0,
|
||||
verdict: 'proceed',
|
||||
error_rate: 0,
|
||||
cost_running_usd: 0,
|
||||
cost_projected_full_usd: 0,
|
||||
stage_ms: 0,
|
||||
});
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
// Run this stage's runner.
|
||||
const stageStart = Date.now();
|
||||
let succeeded = 0;
|
||||
let failed = 0;
|
||||
let stageCost = 0;
|
||||
try {
|
||||
const out = await runner(slice, stage, operationId);
|
||||
succeeded = out.succeeded;
|
||||
failed = out.failed;
|
||||
stageCost = out.costUsd;
|
||||
} catch (err) {
|
||||
// Whole-stage throw: treat as all-failed at the current slice
|
||||
// size. Surface in audit.
|
||||
failed = slice.length;
|
||||
stageCost = 0;
|
||||
process.stderr.write(
|
||||
`[progressive-batch] runner threw on stage=${stage} op=${operationId.slice(0, 8)}: ${(err as Error).message}\n`,
|
||||
);
|
||||
}
|
||||
const stageMs = Date.now() - stageStart;
|
||||
cumulativeProcessed += slice.length;
|
||||
cumulativeFailures += failed;
|
||||
cumulativeAttempts += slice.length;
|
||||
cumulativeCost += stageCost;
|
||||
const observedErrorRate =
|
||||
cumulativeAttempts > 0 ? cumulativeFailures / cumulativeAttempts : 0;
|
||||
|
||||
// Cost projection: extrapolate from cost-per-item observed so far
|
||||
// (more honest than verifier.costPerItem after the first stage).
|
||||
const observedCostPerItem =
|
||||
cumulativeProcessed > 0 ? cumulativeCost / cumulativeProcessed : 0;
|
||||
const remainingItems = totalItems - cumulativeProcessed;
|
||||
const projectedRemainingCost = observedCostPerItem * remainingItems;
|
||||
const projectedFullCost = cumulativeCost + projectedRemainingCost;
|
||||
|
||||
// Verifier gate.
|
||||
const vEval = await evaluateVerifier(
|
||||
verifier,
|
||||
stage,
|
||||
slice.length,
|
||||
countBefore,
|
||||
mutationsBefore,
|
||||
);
|
||||
// Advance the idempotent-mutation snapshot for the next stage.
|
||||
if (vEval.newMutationsBefore !== undefined) {
|
||||
mutationsBefore = vEval.newMutationsBefore;
|
||||
}
|
||||
|
||||
// Combine signals: precedence order is
|
||||
// 1. verifier abort (count/mutation/quality)
|
||||
// 2. error rate abort
|
||||
// 3. cost cap abort (current cumulative > cap, or projection > cap)
|
||||
// 4. interactive abort (user Ctrl-C)
|
||||
// 5. caller stage-report abort
|
||||
// 6. proceed
|
||||
let verdict: StageVerdict = vEval.verdict;
|
||||
let abortReason: AbortReason | undefined = vEval.reason;
|
||||
if (verdict === 'proceed' && observedErrorRate > maxErrorRate) {
|
||||
verdict = 'abort_error_rate';
|
||||
abortReason = 'error_rate_exceeded';
|
||||
}
|
||||
if (
|
||||
verdict === 'proceed' &&
|
||||
effectiveCapUsd !== Infinity &&
|
||||
(cumulativeCost > effectiveCapUsd || projectedFullCost > effectiveCapUsd)
|
||||
) {
|
||||
verdict = 'abort_cost_cap';
|
||||
abortReason = 'cost_projected_over_cap';
|
||||
}
|
||||
|
||||
const report: StageReport = {
|
||||
operationId,
|
||||
label,
|
||||
stage,
|
||||
itemsInStage: slice.length,
|
||||
itemsProcessedCumulative: cumulativeProcessed,
|
||||
totalItems,
|
||||
verdict,
|
||||
abortReason,
|
||||
errorRate: observedErrorRate,
|
||||
costEstimateRunningUsd: cumulativeCost,
|
||||
costProjectedFullUsd: projectedFullCost,
|
||||
deltaObserved: vEval.observed,
|
||||
deltaExpected: vEval.expected,
|
||||
stageMs,
|
||||
qualityReasons:
|
||||
vEval.qualityVerdict.reasons && vEval.qualityVerdict.reasons.length > 0
|
||||
? vEval.qualityVerdict.reasons
|
||||
: undefined,
|
||||
};
|
||||
|
||||
// Emit report (caller may signal abort).
|
||||
const callerResp = await emitStageReport(policy, report);
|
||||
if (callerResp?.abort && verdict === 'proceed') {
|
||||
verdict = 'abort_explicit';
|
||||
abortReason = 'caller_signaled_abort';
|
||||
report.verdict = verdict;
|
||||
report.abortReason = abortReason;
|
||||
}
|
||||
|
||||
stageReports.push(report);
|
||||
logProgressiveBatchEvent({
|
||||
operation_id: operationId,
|
||||
label,
|
||||
stage,
|
||||
items_in_stage: slice.length,
|
||||
items_processed_cumulative: cumulativeProcessed,
|
||||
total_items: totalItems,
|
||||
verdict,
|
||||
abort_reason: abortReason,
|
||||
error_rate: observedErrorRate,
|
||||
cost_running_usd: cumulativeCost,
|
||||
cost_projected_full_usd: projectedFullCost,
|
||||
delta_observed: vEval.observed,
|
||||
delta_expected: vEval.expected,
|
||||
stage_ms: stageMs,
|
||||
quality_reasons: report.qualityReasons,
|
||||
});
|
||||
|
||||
if (verdict !== 'proceed') {
|
||||
return {
|
||||
operationId,
|
||||
label,
|
||||
totalItems,
|
||||
itemsProcessed: cumulativeProcessed,
|
||||
stagesCompleted,
|
||||
abortedAt: { stage, verdict, reason: abortReason },
|
||||
totalCostUsd: cumulativeCost,
|
||||
durationMs: Date.now() - startedAt,
|
||||
stageReports,
|
||||
};
|
||||
}
|
||||
|
||||
stagesCompleted.push(stage);
|
||||
|
||||
// Interactive grace window between stages (NOT after 'full').
|
||||
if (interactiveOn && i < stageSequence.length - 1) {
|
||||
const nextSlice = stageSequence[i + 1].slice;
|
||||
if (nextSlice.length > 0) {
|
||||
process.stderr.write(
|
||||
`[progressive-batch] ${stage} complete; ${nextSlice.length} items in next stage. ` +
|
||||
`Press Ctrl-C within ${interactiveMs}ms to abort.\n`,
|
||||
);
|
||||
const aborted = await awaitInteractiveAbort(interactiveMs);
|
||||
if (aborted) {
|
||||
const r: StageReport = {
|
||||
operationId,
|
||||
label,
|
||||
stage,
|
||||
itemsInStage: 0,
|
||||
itemsProcessedCumulative: cumulativeProcessed,
|
||||
totalItems,
|
||||
verdict: 'abort_user',
|
||||
abortReason: 'user_aborted',
|
||||
errorRate: observedErrorRate,
|
||||
costEstimateRunningUsd: cumulativeCost,
|
||||
costProjectedFullUsd: projectedFullCost,
|
||||
stageMs: 0,
|
||||
};
|
||||
stageReports.push(r);
|
||||
await emitStageReport(policy, r);
|
||||
logProgressiveBatchEvent({
|
||||
operation_id: operationId,
|
||||
label,
|
||||
stage,
|
||||
items_in_stage: 0,
|
||||
items_processed_cumulative: cumulativeProcessed,
|
||||
total_items: totalItems,
|
||||
verdict: 'abort_user',
|
||||
abort_reason: 'user_aborted',
|
||||
error_rate: observedErrorRate,
|
||||
cost_running_usd: cumulativeCost,
|
||||
cost_projected_full_usd: projectedFullCost,
|
||||
stage_ms: 0,
|
||||
});
|
||||
return {
|
||||
operationId,
|
||||
label,
|
||||
totalItems,
|
||||
itemsProcessed: cumulativeProcessed,
|
||||
stagesCompleted,
|
||||
abortedAt: { stage, verdict: 'abort_user', reason: 'user_aborted' },
|
||||
totalCostUsd: cumulativeCost,
|
||||
durationMs: Date.now() - startedAt,
|
||||
stageReports,
|
||||
};
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return {
|
||||
operationId,
|
||||
label,
|
||||
totalItems,
|
||||
itemsProcessed: cumulativeProcessed,
|
||||
stagesCompleted,
|
||||
totalCostUsd: cumulativeCost,
|
||||
durationMs: Date.now() - startedAt,
|
||||
stageReports,
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Invoke caller's stage-report callback if provided, otherwise the
|
||||
* default stderr writer. Honors a `Promise<void | StageReportResponse>`
|
||||
* shape uniformly.
|
||||
*/
|
||||
async function emitStageReport(
|
||||
policy: Policy,
|
||||
report: StageReport,
|
||||
): Promise<{ abort?: boolean; rewriteRemainingStages?: number[] } | undefined> {
|
||||
const handler = policy.onStageReport ?? ((r: StageReport) => defaultStageReport(r));
|
||||
try {
|
||||
const r = await handler(report);
|
||||
if (r === undefined || r === null) return undefined;
|
||||
return r;
|
||||
} catch (err) {
|
||||
process.stderr.write(
|
||||
`[progressive-batch] onStageReport threw (continuing): ${(err as Error).message}\n`,
|
||||
);
|
||||
return undefined;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Re-export the public types so callers can do
|
||||
* `import { runProgressiveBatch, type Verifier } from 'gbrain/progressive-batch'`
|
||||
* without dragging in the internal audit/types/stage-report modules.
|
||||
*/
|
||||
export type {
|
||||
AbortReason,
|
||||
IdempotentMutationVerifier,
|
||||
NoopVerifier,
|
||||
OutputCountVerifier,
|
||||
Policy,
|
||||
ProgressiveBatchResult,
|
||||
QualityVerdict,
|
||||
Stage,
|
||||
StageReport,
|
||||
StageReportResponse,
|
||||
StageRunner,
|
||||
StageVerdict,
|
||||
Verifier,
|
||||
} from './types.ts';
|
||||
@@ -0,0 +1,78 @@
|
||||
/**
|
||||
* v0.41.16.0 — Retrofit wrap helper for behavior-parity migrations.
|
||||
*
|
||||
* Per D21 + D26: existing batch sites that need only the primitive's
|
||||
* audit + cost-cap gating (NOT its ramp + verification) get a thin
|
||||
* wrapper. The wrapper:
|
||||
* - Buffers items into the work list (one-time read).
|
||||
* - Wraps the per-item callable in NoopVerifier + interactiveAbortMs=0
|
||||
* + opt-out safety net (existing sites that previously had no
|
||||
* ramp + no budget gate keep that behavior; the primitive's audit
|
||||
* JSONL + cost projection is the value-add).
|
||||
* - Surfaces aborts via stderr but doesn't change the caller's
|
||||
* return shape.
|
||||
*
|
||||
* For sites that NEED ramp (the markdown reindex flow via
|
||||
* post-upgrade-reembed), callers opt INTO interactive abort via the
|
||||
* primitive's `interactiveAbortMs` Policy field or the
|
||||
* `GBRAIN_PROGRESSIVE_BATCH_STAGES` env var.
|
||||
*
|
||||
* Hermetic: pure orchestration. No I/O of its own.
|
||||
*/
|
||||
|
||||
import {
|
||||
runProgressiveBatch,
|
||||
type NoopVerifier,
|
||||
type Policy,
|
||||
type ProgressiveBatchResult,
|
||||
type StageRunner,
|
||||
} from './orchestrator.ts';
|
||||
|
||||
export interface RetrofitWrapOpts<T> {
|
||||
/** Display label for audit JSONL + stderr stage report. */
|
||||
label: string;
|
||||
/** The full work list. */
|
||||
items: T[];
|
||||
/** Per-item conservative cost projection (USD). 0 = no LLM/embed cost. */
|
||||
costPerItem?: number;
|
||||
/** Per-batch runner. Returns {succeeded, failed, costUsd} for this slice. */
|
||||
runner: StageRunner<T>;
|
||||
/**
|
||||
* D21: behavior parity. When the existing site previously had no
|
||||
* Ctrl-C grace AND no budget gating, default to opt-out. Operators
|
||||
* opt INTO ramp via `GBRAIN_PROGRESSIVE_BATCH_STAGES` env var.
|
||||
*/
|
||||
interactiveAbortMs?: number;
|
||||
/**
|
||||
* D3: when the existing site previously had its own BudgetTracker
|
||||
* (e.g. brainstorm/orchestrator, reindex-code with --max-cost), it
|
||||
* still owns the tracker; primitive observes via getCurrentBudgetTracker.
|
||||
* When the site never had cost gating, default opt-out so the
|
||||
* primitive doesn't refuse to start.
|
||||
*/
|
||||
requireBudgetSafetyNet?: boolean;
|
||||
}
|
||||
|
||||
/**
|
||||
* Thin retrofit wrapper. Use for any existing batch site that doesn't
|
||||
* need ramp + verification (just wants the primitive's audit JSONL +
|
||||
* cost projection).
|
||||
*
|
||||
* Returns the primitive's full result so callers can read
|
||||
* `result.abortedAt` and `result.stageReports` if they need to. Most
|
||||
* callers ignore the return.
|
||||
*/
|
||||
export async function retrofitWrap<T>(
|
||||
opts: RetrofitWrapOpts<T>,
|
||||
): Promise<ProgressiveBatchResult> {
|
||||
const verifier: NoopVerifier = {
|
||||
kind: 'noop',
|
||||
costPerItem: () => opts.costPerItem ?? 0,
|
||||
};
|
||||
const policy: Policy = {
|
||||
label: opts.label,
|
||||
interactiveAbortMs: opts.interactiveAbortMs ?? 0,
|
||||
requireBudgetSafetyNet: opts.requireBudgetSafetyNet ?? false,
|
||||
};
|
||||
return runProgressiveBatch(opts.items, verifier, policy, opts.runner);
|
||||
}
|
||||
@@ -0,0 +1,52 @@
|
||||
/**
|
||||
* v0.41.16.0 — Stage report formatter.
|
||||
*
|
||||
* Pure formatter for human + JSON stage reports. The orchestrator
|
||||
* invokes this from its default `Policy.onStageReport` handler when
|
||||
* the caller doesn't override.
|
||||
*
|
||||
* ASCII-only per the storage.ts D10 precedent (operator-friendly
|
||||
* across every terminal). One report per stage, written to stderr.
|
||||
*/
|
||||
|
||||
import type { StageReport } from './types.ts';
|
||||
|
||||
/**
|
||||
* Pure ASCII single-line report for a stage. Suitable for stderr.
|
||||
*
|
||||
* [progressive-batch label=foo op=ab12 stage=trial verdict=proceed
|
||||
* items=10/250 err=0.0% cost=$0.0042 proj=$0.105 dt=453ms]
|
||||
*/
|
||||
export function formatStageLine(r: StageReport): string {
|
||||
const parts: string[] = [
|
||||
`label=${r.label}`,
|
||||
`op=${r.operationId.slice(0, 8)}`,
|
||||
`stage=${r.stage}`,
|
||||
`verdict=${r.verdict}`,
|
||||
`items=${r.itemsProcessedCumulative}/${r.totalItems}`,
|
||||
`err=${(r.errorRate * 100).toFixed(1)}%`,
|
||||
`cost=$${r.costEstimateRunningUsd.toFixed(4)}`,
|
||||
`proj=$${r.costProjectedFullUsd.toFixed(4)}`,
|
||||
`dt=${r.stageMs}ms`,
|
||||
];
|
||||
if (r.deltaObserved !== undefined) {
|
||||
parts.push(
|
||||
`delta=${r.deltaObserved}/${r.deltaExpected ?? 'n/a'}`,
|
||||
);
|
||||
}
|
||||
if (r.abortReason) parts.push(`reason=${r.abortReason}`);
|
||||
if (r.qualityReasons && r.qualityReasons.length > 0) {
|
||||
parts.push(`quality_issues=${r.qualityReasons.length}`);
|
||||
}
|
||||
return `[progressive-batch ${parts.join(' ')}]`;
|
||||
}
|
||||
|
||||
/**
|
||||
* Default stderr writer. Caller overrides via Policy.onStageReport.
|
||||
*/
|
||||
export function defaultStageReport(r: StageReport): void {
|
||||
// We want this on stderr so stdout JSON envelopes from the caller
|
||||
// (e.g. `gbrain reindex --json`) stay clean.
|
||||
process.stderr.write(formatStageLine(r) + '\n');
|
||||
}
|
||||
|
||||
@@ -0,0 +1,288 @@
|
||||
/**
|
||||
* v0.41.16.0 — Progressive-batch primitive type surface.
|
||||
*
|
||||
* Shared types for `runProgressiveBatch` and its consumers. Lives in its
|
||||
* own file so type-only imports don't drag the orchestrator's runtime
|
||||
* dependencies (AsyncLocalStorage, audit-writer) into pure callers.
|
||||
*
|
||||
* Design constraints (eng review D2, D3, D4, D20, D21):
|
||||
*
|
||||
* - D2: extracted as a first-class primitive after rule-of-three
|
||||
* satisfied across 12+ ad-hoc batch sites in gbrain.
|
||||
*
|
||||
* - D3: budget gate is fail-CLOSED. Primitive reads
|
||||
* `getCurrentBudgetTracker()` from `src/core/ai/gateway.ts` ahead
|
||||
* of `Policy.maxCostUsd`. When BOTH are null, the primitive
|
||||
* aborts with `reason: 'no_budget_safety_net'` rather than
|
||||
* silently running unbounded.
|
||||
*
|
||||
* - D4: primitive uses `Stage` (corpus-rollout axis). Parser uses
|
||||
* `ParsePhase` (per-page axis). Different audit JSONLs. Do NOT
|
||||
* conflate; they're orthogonal.
|
||||
*
|
||||
* - D20: Verifier is a discriminated union. Output-count verifiers
|
||||
* (parser, contradiction-eval) AND idempotent-mutation verifiers
|
||||
* (reindex, embed) AND noop verifiers (sites that want only ramp
|
||||
* + cost gating) all fit cleanly. No round-peg-square-hole.
|
||||
*
|
||||
* - D21: Sites without an existing ramp keep jump-to-full as
|
||||
* default. Ramp is opt-in per-site via `Policy.interactiveAbortMs
|
||||
* > 0`. Honest behavior preservation.
|
||||
*/
|
||||
|
||||
/**
|
||||
* The fixed stages of a progressive-batch run. The actual item counts
|
||||
* per stage are configured via `Policy.stages` (default: [10, 100, 500]
|
||||
* with `full` implicit).
|
||||
*
|
||||
* `trial` runs first against the smallest slice. `ramp_100` and
|
||||
* `ramp_500` are intermediate gates. `full` processes whatever items
|
||||
* remain after the earlier stages.
|
||||
*/
|
||||
export type Stage = 'trial' | 'ramp_100' | 'ramp_500' | 'full';
|
||||
|
||||
/**
|
||||
* Verdict from a verifier or from the orchestrator's own gating.
|
||||
* Exhaustive TypeScript union — every consumer site should `switch`
|
||||
* with a `never` default to catch future additions at compile time.
|
||||
*/
|
||||
export type StageVerdict =
|
||||
| 'proceed' // All checks passed; advance to next stage
|
||||
| 'abort_data_quality' // sampleQuality returned ok=false
|
||||
| 'abort_count_mismatch' // OutputCountVerifier: actualDelta outside expected band
|
||||
| 'abort_mutation_mismatch' // IdempotentMutationVerifier: rows-modified count off
|
||||
| 'abort_error_rate' // observed error rate > Policy.maxErrorRate
|
||||
| 'abort_cost_cap' // projected full-batch cost > effective cap
|
||||
| 'abort_user' // Ctrl-C during interactive grace window
|
||||
| 'abort_explicit'; // caller's onStageReport returned {abort: true}
|
||||
|
||||
/**
|
||||
* Reason code attached to abort verdicts. Surfaces in audit JSONL and
|
||||
* stderr reports. The two budget reasons (`cost_projected_over_cap`
|
||||
* and `no_budget_safety_net`) are the load-bearing ones for the D3
|
||||
* fail-closed contract.
|
||||
*/
|
||||
export type AbortReason =
|
||||
| 'data_quality_sample_failed'
|
||||
| 'count_delta_outside_band'
|
||||
| 'mutation_count_outside_band'
|
||||
| 'error_rate_exceeded'
|
||||
| 'cost_projected_over_cap'
|
||||
| 'no_budget_safety_net' // D3: neither tracker nor Policy.maxCostUsd set
|
||||
| 'user_aborted'
|
||||
| 'caller_signaled_abort';
|
||||
|
||||
/**
|
||||
* Quality verdict returned by `sampleQuality()`. Free-form `reasons`
|
||||
* surface in the audit JSONL when `ok: false`.
|
||||
*/
|
||||
export interface QualityVerdict {
|
||||
ok: boolean;
|
||||
reasons?: string[];
|
||||
}
|
||||
|
||||
/**
|
||||
* Verifier shape #1 — caller's batch produces NEW rows (parser,
|
||||
* contradiction-eval, atom extraction, etc.). The verifier knows how
|
||||
* many rows SHOULD appear after processing N items and where to count
|
||||
* them.
|
||||
*
|
||||
* Used by retrofit sites where row-count is the natural success
|
||||
* signal.
|
||||
*/
|
||||
export interface OutputCountVerifier {
|
||||
kind: 'output_count';
|
||||
/** Pre-stage row count. */
|
||||
countBefore(): Promise<number>;
|
||||
/** Post-stage row count. */
|
||||
countAfter(): Promise<number>;
|
||||
/**
|
||||
* How many rows SHOULD appear after processing `processed` items.
|
||||
* Returning `null` skips count-mismatch gating for this stage
|
||||
* (caller has stage-specific reasons; e.g. dry-run inserts).
|
||||
*/
|
||||
expectedDelta(processed: number): number | null;
|
||||
/** Sample ≤3 random output rows, return ok/not-ok + reasons. */
|
||||
sampleQuality(): Promise<QualityVerdict>;
|
||||
/** Cost projection per item at the given stage. */
|
||||
costPerItem(stage: Stage): number;
|
||||
}
|
||||
|
||||
/**
|
||||
* Verifier shape #2 — caller's batch UPDATES existing rows in-place
|
||||
* (reindex, embed, content-hash refresh). Row-count delta is always
|
||||
* zero; what matters is rows-mutated.
|
||||
*
|
||||
* D20: codex outside-voice correctly flagged that
|
||||
* `expectedDelta(processed)` doesn't fit reindex semantics. This
|
||||
* verifier shape closes that gap.
|
||||
*/
|
||||
export interface IdempotentMutationVerifier {
|
||||
kind: 'idempotent_mutation';
|
||||
/**
|
||||
* Count rows-mutated by the stage's batch. Caller defines what
|
||||
* "mutated" means (chunker_version bump, embedding_at refresh,
|
||||
* etc.). Default expectation: equals processed-item count.
|
||||
*/
|
||||
mutatedCount(): Promise<number>;
|
||||
/**
|
||||
* How many mutations SHOULD have happened after processing
|
||||
* `processed` items. Defaults to `processed` (1:1) if not
|
||||
* overridden. Returning `null` skips mutation-count gating.
|
||||
*/
|
||||
expectedMutations?(processed: number): number | null;
|
||||
/** Sample ≤3 random mutated rows, return ok/not-ok + reasons. */
|
||||
sampleQuality(): Promise<QualityVerdict>;
|
||||
/** Cost projection per item at the given stage. */
|
||||
costPerItem(stage: Stage): number;
|
||||
}
|
||||
|
||||
/**
|
||||
* Verifier shape #3 — caller wants ramp + cost gating but NO output
|
||||
* verification. Common for sites that previously "jumped straight to
|
||||
* full" (per D21) where adding count verification would be a behavior
|
||||
* change beyond what the retrofit promised.
|
||||
*
|
||||
* Still requires `costPerItem` so the cost cap can be projected
|
||||
* honestly.
|
||||
*/
|
||||
export interface NoopVerifier {
|
||||
kind: 'noop';
|
||||
/** Cost projection per item at the given stage. */
|
||||
costPerItem(stage: Stage): number;
|
||||
/**
|
||||
* Optional quality probe. When omitted, sampleQuality is treated as
|
||||
* `{ok: true}` at every stage. Useful for ramp+cost-only callers
|
||||
* that still want a structural smoke check.
|
||||
*/
|
||||
sampleQuality?(): Promise<QualityVerdict>;
|
||||
}
|
||||
|
||||
/** Discriminated union of all three verifier shapes. */
|
||||
export type Verifier =
|
||||
| OutputCountVerifier
|
||||
| IdempotentMutationVerifier
|
||||
| NoopVerifier;
|
||||
|
||||
/**
|
||||
* Per-stage report passed to the caller's optional `onStageReport`
|
||||
* callback (and emitted to stderr by the default reporter). Stable
|
||||
* shape: callers can persist these in their own audit trails without
|
||||
* re-deriving from the primitive's JSONL.
|
||||
*/
|
||||
export interface StageReport {
|
||||
operationId: string;
|
||||
label: string;
|
||||
stage: Stage;
|
||||
itemsInStage: number;
|
||||
itemsProcessedCumulative: number;
|
||||
totalItems: number;
|
||||
verdict: StageVerdict;
|
||||
abortReason?: AbortReason;
|
||||
errorRate: number;
|
||||
costEstimateRunningUsd: number;
|
||||
costProjectedFullUsd: number;
|
||||
/** Verifier-specific deltas (count, mutation, etc.). */
|
||||
deltaObserved?: number;
|
||||
deltaExpected?: number | null;
|
||||
/** Wall-clock for this stage's processing. */
|
||||
stageMs: number;
|
||||
/** Per-stage quality verdict reasons (when sampleQuality returned not-ok). */
|
||||
qualityReasons?: string[];
|
||||
}
|
||||
|
||||
/**
|
||||
* Caller's response to onStageReport. Returning `{abort: true}` halts
|
||||
* the run with verdict `abort_explicit`. Returning anything else
|
||||
* (including undefined) is implicit "proceed".
|
||||
*/
|
||||
export interface StageReportResponse {
|
||||
abort?: boolean;
|
||||
/** Operator override on the stage list for the next stage (rare). */
|
||||
rewriteRemainingStages?: number[];
|
||||
}
|
||||
|
||||
/**
|
||||
* Per-batch policy. Mostly defaults; callers override per-site.
|
||||
*/
|
||||
export interface Policy {
|
||||
/** Max observed error rate before abort. Default: 0.02 (2%). */
|
||||
maxErrorRate?: number;
|
||||
/**
|
||||
* Effective USD cap. When set, the primitive applies it as the
|
||||
* upper bound regardless of any active BudgetTracker (the lower of
|
||||
* the two wins — caller can never EXCEED the tracker's cap, but
|
||||
* can voluntarily cap themselves tighter).
|
||||
*
|
||||
* When unset AND no active BudgetTracker, the primitive ABORTS at
|
||||
* stage 0 with `abort_cost_cap reason='no_budget_safety_net'`
|
||||
* (D3 fail-closed). Caller must explicitly opt out of safety with
|
||||
* `requireBudgetSafetyNet: false`.
|
||||
*/
|
||||
maxCostUsd?: number;
|
||||
/**
|
||||
* Caller opt-out of the D3 safety net. Sites that legitimately
|
||||
* don't need cost gating (cheap deterministic ops) set this true.
|
||||
* Documented in the retrofit's commit message + tests.
|
||||
* Default: false (safety net required).
|
||||
*/
|
||||
requireBudgetSafetyNet?: boolean;
|
||||
/**
|
||||
* Interactive Ctrl-C grace window per stage transition, in ms.
|
||||
* 0 (default) means no grace window (CI / non-TTY / Minion workers).
|
||||
* Honored only when TTY is detected; non-TTY callers always skip.
|
||||
*
|
||||
* D21: sites that previously "jumped straight to full" keep
|
||||
* `interactiveAbortMs: 0` so behavior parity holds; the ramp itself
|
||||
* is opt-IN per-site via this flag.
|
||||
*/
|
||||
interactiveAbortMs?: number;
|
||||
/**
|
||||
* Stage item counts. Default: [10, 100, 500] with `full` implicit.
|
||||
* Override via `GBRAIN_PROGRESSIVE_BATCH_STAGES=10,100,500` env or
|
||||
* per-call. Empty array = skip ramp, go straight to `full`.
|
||||
*/
|
||||
stages?: number[];
|
||||
/**
|
||||
* Per-stage reporter. Default: writes ASCII stage line to stderr.
|
||||
* Returns optional response to influence the orchestrator.
|
||||
*/
|
||||
onStageReport?(report: StageReport): Promise<StageReportResponse | void> | StageReportResponse | void;
|
||||
/** Phase/label for audit + telemetry. */
|
||||
label: string;
|
||||
/**
|
||||
* Caller-supplied operation id for tracing across stages. Defaults
|
||||
* to a generated short id at orchestrator entry.
|
||||
*/
|
||||
operationId?: string;
|
||||
}
|
||||
|
||||
/** Final result of a complete `runProgressiveBatch` invocation. */
|
||||
export interface ProgressiveBatchResult {
|
||||
operationId: string;
|
||||
label: string;
|
||||
totalItems: number;
|
||||
itemsProcessed: number;
|
||||
stagesCompleted: Stage[];
|
||||
abortedAt?: { stage: Stage; verdict: StageVerdict; reason?: AbortReason };
|
||||
totalCostUsd: number;
|
||||
durationMs: number;
|
||||
/** All per-stage reports in order. */
|
||||
stageReports: StageReport[];
|
||||
}
|
||||
|
||||
/**
|
||||
* The per-stage callback the caller provides. Receives the slice for
|
||||
* THIS stage; returns the number of items successfully processed
|
||||
* (used for error-rate calculation) AND a per-stage cost actual
|
||||
* (used for cumulative-cost tracking).
|
||||
*
|
||||
* Callers process the slice however they like (serial, batched,
|
||||
* concurrent). The primitive doesn't dictate; it only sequences
|
||||
* stages and gates between them.
|
||||
*/
|
||||
export type StageRunner<T> = (
|
||||
items: T[],
|
||||
stage: Stage,
|
||||
operationId: string,
|
||||
) => Promise<{ succeeded: number; failed: number; costUsd: number }>;
|
||||
@@ -0,0 +1,197 @@
|
||||
/**
|
||||
* v0.41.16.0 — `gbrain conversation-parser` debug CLI tests.
|
||||
*
|
||||
* Pins:
|
||||
* - list-builtins prints all 12 patterns + accepts --json
|
||||
* - validate emits "deferred to v0.42+" notice (v1 has no compiler)
|
||||
* - scan errors without engine
|
||||
* - --help works
|
||||
*
|
||||
* Pure-function tests; no engine, no DB.
|
||||
*/
|
||||
|
||||
import { describe, expect, test, beforeEach, afterEach } from 'bun:test';
|
||||
import { mkdtempSync, writeFileSync } from 'node:fs';
|
||||
import { tmpdir } from 'node:os';
|
||||
import { join } from 'node:path';
|
||||
import { runConversationParser } from '../src/commands/conversation-parser.ts';
|
||||
import { BUILTIN_PATTERNS } from '../src/core/conversation-parser/builtins.ts';
|
||||
|
||||
// Capture process.stdout.write + process.stderr.write + process.exit.
|
||||
function captureStdio() {
|
||||
const out: string[] = [];
|
||||
const err: string[] = [];
|
||||
let exitCode: number | null = null;
|
||||
const origOut = process.stdout.write.bind(process.stdout);
|
||||
const origErr = process.stderr.write.bind(process.stderr);
|
||||
const origExit = process.exit.bind(process);
|
||||
process.stdout.write = ((chunk: string | Uint8Array) => {
|
||||
out.push(typeof chunk === 'string' ? chunk : Buffer.from(chunk).toString());
|
||||
return true;
|
||||
}) as typeof process.stdout.write;
|
||||
process.stderr.write = ((chunk: string | Uint8Array) => {
|
||||
err.push(typeof chunk === 'string' ? chunk : Buffer.from(chunk).toString());
|
||||
return true;
|
||||
}) as typeof process.stderr.write;
|
||||
// process.exit throws to short-circuit; tests catch and inspect.
|
||||
process.exit = ((code?: number) => {
|
||||
exitCode = code ?? 0;
|
||||
throw new Error(`PROCESS_EXIT:${exitCode}`);
|
||||
}) as typeof process.exit;
|
||||
return {
|
||||
out,
|
||||
err,
|
||||
getExitCode: () => exitCode,
|
||||
restore: () => {
|
||||
process.stdout.write = origOut;
|
||||
process.stderr.write = origErr;
|
||||
process.exit = origExit;
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
describe('runConversationParser — help', () => {
|
||||
test('--help prints usage', async () => {
|
||||
const cap = captureStdio();
|
||||
try {
|
||||
await runConversationParser(null, ['--help']);
|
||||
} finally {
|
||||
cap.restore();
|
||||
}
|
||||
const text = cap.out.join('');
|
||||
expect(text).toContain('Usage: gbrain conversation-parser');
|
||||
expect(text).toContain('scan');
|
||||
expect(text).toContain('list-builtins');
|
||||
expect(text).toContain('validate');
|
||||
});
|
||||
|
||||
test('no subcommand prints help', async () => {
|
||||
const cap = captureStdio();
|
||||
try {
|
||||
await runConversationParser(null, []);
|
||||
} finally {
|
||||
cap.restore();
|
||||
}
|
||||
expect(cap.out.join('')).toContain('Usage: gbrain conversation-parser');
|
||||
});
|
||||
});
|
||||
|
||||
describe('runConversationParser — list-builtins', () => {
|
||||
test('human output includes all 12 pattern ids', async () => {
|
||||
const cap = captureStdio();
|
||||
try {
|
||||
await runConversationParser(null, ['list-builtins']);
|
||||
} finally {
|
||||
cap.restore();
|
||||
}
|
||||
const text = cap.out.join('');
|
||||
for (const pattern of BUILTIN_PATTERNS) {
|
||||
expect(text).toContain(pattern.id);
|
||||
}
|
||||
expect(text).toContain(`${BUILTIN_PATTERNS.length} built-in patterns`);
|
||||
});
|
||||
|
||||
test('--json output is stable schema', async () => {
|
||||
const cap = captureStdio();
|
||||
try {
|
||||
await runConversationParser(null, ['list-builtins', '--json']);
|
||||
} finally {
|
||||
cap.restore();
|
||||
}
|
||||
const json = JSON.parse(cap.out.join('').trim());
|
||||
expect(json.schema_version).toBe(1);
|
||||
expect(json.total).toBe(BUILTIN_PATTERNS.length);
|
||||
expect(json.patterns).toHaveLength(BUILTIN_PATTERNS.length);
|
||||
expect(json.patterns[0].id).toBe('imessage-slack');
|
||||
expect(json.patterns[0].date_source).toBeDefined();
|
||||
expect(json.patterns[0].time_format).toBeDefined();
|
||||
expect(json.patterns[0].timezone_policy).toBeDefined();
|
||||
expect(json.patterns[0].regex).toBeDefined();
|
||||
});
|
||||
});
|
||||
|
||||
describe('runConversationParser — validate', () => {
|
||||
test('emits deferred notice (v0.42+ scope)', async () => {
|
||||
const dir = mkdtempSync(join(tmpdir(), 'cv-parser-cli-'));
|
||||
const path = join(dir, 'pattern.json');
|
||||
writeFileSync(path, '{}');
|
||||
const cap = captureStdio();
|
||||
try {
|
||||
await runConversationParser(null, ['validate', path]);
|
||||
} finally {
|
||||
cap.restore();
|
||||
}
|
||||
expect(cap.out.join('')).toContain('deferred to v0.42+');
|
||||
});
|
||||
|
||||
test('--json validate emits structured deferred envelope', async () => {
|
||||
const dir = mkdtempSync(join(tmpdir(), 'cv-parser-cli-'));
|
||||
const path = join(dir, 'pattern.json');
|
||||
writeFileSync(path, '{}');
|
||||
const cap = captureStdio();
|
||||
try {
|
||||
await runConversationParser(null, ['validate', path, '--json']);
|
||||
} finally {
|
||||
cap.restore();
|
||||
}
|
||||
const json = JSON.parse(cap.out.join('').trim());
|
||||
expect(json.schema_version).toBe(1);
|
||||
expect(json.status).toBe('deferred');
|
||||
expect(json.todo_ref).toContain('v0.41.16.0');
|
||||
});
|
||||
|
||||
test('exits 2 on missing file path', async () => {
|
||||
const cap = captureStdio();
|
||||
try {
|
||||
await runConversationParser(null, ['validate']);
|
||||
} catch (e) {
|
||||
expect((e as Error).message).toBe('PROCESS_EXIT:2');
|
||||
} finally {
|
||||
cap.restore();
|
||||
}
|
||||
expect(cap.getExitCode()).toBe(2);
|
||||
});
|
||||
|
||||
test('exits 2 on nonexistent file', async () => {
|
||||
const cap = captureStdio();
|
||||
try {
|
||||
await runConversationParser(null, [
|
||||
'validate',
|
||||
'/nonexistent/path.json',
|
||||
]);
|
||||
} catch (e) {
|
||||
expect((e as Error).message).toBe('PROCESS_EXIT:2');
|
||||
} finally {
|
||||
cap.restore();
|
||||
}
|
||||
expect(cap.getExitCode()).toBe(2);
|
||||
});
|
||||
});
|
||||
|
||||
describe('runConversationParser — scan', () => {
|
||||
test('exits 2 when engine is null (scan requires brain)', async () => {
|
||||
const cap = captureStdio();
|
||||
try {
|
||||
await runConversationParser(null, ['scan', 'some-slug']);
|
||||
} catch (e) {
|
||||
expect((e as Error).message).toBe('PROCESS_EXIT:2');
|
||||
} finally {
|
||||
cap.restore();
|
||||
}
|
||||
expect(cap.getExitCode()).toBe(2);
|
||||
});
|
||||
});
|
||||
|
||||
describe('runConversationParser — unknown subcommand', () => {
|
||||
test('exits 2 with hint', async () => {
|
||||
const cap = captureStdio();
|
||||
try {
|
||||
await runConversationParser(null, ['bogus-cmd']);
|
||||
} catch (e) {
|
||||
expect((e as Error).message).toBe('PROCESS_EXIT:2');
|
||||
} finally {
|
||||
cap.restore();
|
||||
}
|
||||
expect(cap.err.join('')).toContain('unknown subcommand');
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,28 @@
|
||||
/**
|
||||
* v0.41.16.0 — Test helpers for conversation-parser unit tests.
|
||||
*
|
||||
* `makeChatResult(text)` builds a fully-typed `ChatResult` stub so
|
||||
* test transports satisfy the gateway's type contract without each
|
||||
* test repeating the empty fields.
|
||||
*/
|
||||
|
||||
import type { ChatResult } from '../../src/core/ai/gateway.ts';
|
||||
|
||||
export function makeChatResult(
|
||||
text: string,
|
||||
usage = { input_tokens: 10, output_tokens: 30 },
|
||||
): ChatResult {
|
||||
return {
|
||||
text,
|
||||
blocks: [{ type: 'text', text }],
|
||||
stopReason: 'end',
|
||||
usage: {
|
||||
input_tokens: usage.input_tokens,
|
||||
output_tokens: usage.output_tokens,
|
||||
cache_read_tokens: 0,
|
||||
cache_creation_tokens: 0,
|
||||
},
|
||||
model: 'anthropic:claude-haiku-4-5',
|
||||
providerId: 'anthropic',
|
||||
};
|
||||
}
|
||||
@@ -0,0 +1,184 @@
|
||||
/**
|
||||
* v0.41.16.0 — LLM base unit tests.
|
||||
*
|
||||
* Hermetic via the `chatTransport` test seam. No real API calls.
|
||||
*
|
||||
* Pins:
|
||||
* - Cache hit doesn't re-call transport
|
||||
* - Provider unavailable returns null without calling transport
|
||||
* - Transport throw → fail-open null
|
||||
* - Parse failure → fail-open null
|
||||
* - parseLlmJson 4-strategy fallback
|
||||
*/
|
||||
|
||||
import { describe, expect, test, beforeEach } from 'bun:test';
|
||||
import { withEnv } from '../helpers/with-env.ts';
|
||||
import {
|
||||
runLlmCall,
|
||||
parseLlmJson,
|
||||
_resetLlmCacheForTests,
|
||||
getLlmCacheStats,
|
||||
probeLlmAvailability,
|
||||
} from '../../src/core/conversation-parser/llm-base.ts';
|
||||
import { makeChatResult } from './helpers.ts';
|
||||
|
||||
beforeEach(() => {
|
||||
_resetLlmCacheForTests();
|
||||
});
|
||||
|
||||
describe('probeLlmAvailability', () => {
|
||||
test('returns null when ANTHROPIC_API_KEY is unset', async () => {
|
||||
await withEnv(
|
||||
{ ANTHROPIC_API_KEY: undefined as unknown as string },
|
||||
async () => {
|
||||
expect(probeLlmAvailability('claude-haiku-4-5')).toBeNull();
|
||||
expect(probeLlmAvailability('anthropic:claude-haiku-4-5')).toBeNull();
|
||||
},
|
||||
);
|
||||
});
|
||||
test('returns normalized model when key set', async () => {
|
||||
await withEnv({ ANTHROPIC_API_KEY: 'sk-test' }, async () => {
|
||||
expect(probeLlmAvailability('claude-haiku-4-5')).toBe(
|
||||
'anthropic:claude-haiku-4-5',
|
||||
);
|
||||
});
|
||||
});
|
||||
test('returns null for unknown provider', async () => {
|
||||
expect(probeLlmAvailability('madeup-provider:foo-model')).toBeNull();
|
||||
});
|
||||
});
|
||||
|
||||
describe('runLlmCall — happy path', () => {
|
||||
test('calls transport, parses, caches', async () => {
|
||||
await withEnv({ ANTHROPIC_API_KEY: 'sk-test' }, async () => {
|
||||
let calls = 0;
|
||||
const result = await runLlmCall<{ ok: boolean }>({
|
||||
shape: 'fallback',
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
content: 'hello',
|
||||
system: 'test',
|
||||
parse: (text) => parseLlmJson(text),
|
||||
chatTransport: async () => {
|
||||
calls++;
|
||||
return makeChatResult('{"ok": true}', { input_tokens: 1, output_tokens: 1 });
|
||||
},
|
||||
});
|
||||
expect(result).toEqual({ ok: true });
|
||||
expect(calls).toBe(1);
|
||||
expect(getLlmCacheStats().misses).toBe(1);
|
||||
});
|
||||
});
|
||||
test('cache hit on second call with same content', async () => {
|
||||
await withEnv({ ANTHROPIC_API_KEY: 'sk-test' }, async () => {
|
||||
let calls = 0;
|
||||
const transport = async () => {
|
||||
calls++;
|
||||
return makeChatResult('{"ok": true}', { input_tokens: 1, output_tokens: 1 });
|
||||
};
|
||||
const opts = {
|
||||
shape: 'fallback' as const,
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
content: 'hello',
|
||||
system: 'test',
|
||||
parse: (t: string) => parseLlmJson<{ ok: boolean }>(t),
|
||||
chatTransport: transport,
|
||||
};
|
||||
await runLlmCall(opts);
|
||||
await runLlmCall(opts);
|
||||
expect(calls).toBe(1);
|
||||
expect(getLlmCacheStats().hits).toBe(1);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('runLlmCall — fail-open paths', () => {
|
||||
test('provider unavailable returns null without calling transport', async () => {
|
||||
await withEnv(
|
||||
{ ANTHROPIC_API_KEY: undefined as unknown as string },
|
||||
async () => {
|
||||
let calls = 0;
|
||||
const result = await runLlmCall<unknown>({
|
||||
shape: 'fallback',
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
content: 'hello',
|
||||
system: 'test',
|
||||
parse: () => ({}),
|
||||
chatTransport: async () => {
|
||||
calls++;
|
||||
return makeChatResult('{}', { input_tokens: 1, output_tokens: 1 });
|
||||
},
|
||||
});
|
||||
expect(result).toBeNull();
|
||||
expect(calls).toBe(0);
|
||||
},
|
||||
);
|
||||
});
|
||||
test('transport throw → fail-open null', async () => {
|
||||
await withEnv({ ANTHROPIC_API_KEY: 'sk-test' }, async () => {
|
||||
const result = await runLlmCall<unknown>({
|
||||
shape: 'fallback',
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
content: 'hello',
|
||||
system: 'test',
|
||||
parse: () => ({}),
|
||||
chatTransport: async () => {
|
||||
throw new Error('network down');
|
||||
},
|
||||
});
|
||||
expect(result).toBeNull();
|
||||
});
|
||||
});
|
||||
test('parse failure → fail-open null, not cached', async () => {
|
||||
await withEnv({ ANTHROPIC_API_KEY: 'sk-test' }, async () => {
|
||||
let calls = 0;
|
||||
const opts = {
|
||||
shape: 'fallback' as const,
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
content: 'hello',
|
||||
system: 'test',
|
||||
parse: () => null,
|
||||
chatTransport: async () => {
|
||||
calls++;
|
||||
return makeChatResult('garbage', { input_tokens: 1, output_tokens: 1 });
|
||||
},
|
||||
};
|
||||
const r1 = await runLlmCall(opts);
|
||||
const r2 = await runLlmCall(opts);
|
||||
expect(r1).toBeNull();
|
||||
expect(r2).toBeNull();
|
||||
// Both calls hit transport because parse-fail isn't cached.
|
||||
expect(calls).toBe(2);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('parseLlmJson — 4-strategy fallback', () => {
|
||||
test('direct parse object', () => {
|
||||
expect(parseLlmJson<{ a: number }>('{"a": 1}')).toEqual({ a: 1 });
|
||||
});
|
||||
test('strip ```json fences', () => {
|
||||
expect(parseLlmJson<{ a: number }>('```json\n{"a": 1}\n```')).toEqual({ a: 1 });
|
||||
});
|
||||
test('strip bare ``` fences', () => {
|
||||
expect(parseLlmJson<{ a: number }>('```\n{"a": 1}\n```')).toEqual({ a: 1 });
|
||||
});
|
||||
test('extract first {...} substring', () => {
|
||||
expect(parseLlmJson<{ a: number }>('Here is the output: {"a": 1} (done)')).toEqual({
|
||||
a: 1,
|
||||
});
|
||||
});
|
||||
test('array mode: direct parse', () => {
|
||||
expect(parseLlmJson<number[]>('[1,2,3]', { array: true })).toEqual([1, 2, 3]);
|
||||
});
|
||||
test('array mode: extract first [...] substring', () => {
|
||||
expect(parseLlmJson<number[]>('Output: [1,2,3] done', { array: true })).toEqual([
|
||||
1, 2, 3,
|
||||
]);
|
||||
});
|
||||
test('non-JSON returns null', () => {
|
||||
expect(parseLlmJson<unknown>('not json at all')).toBeNull();
|
||||
});
|
||||
test('empty string returns null', () => {
|
||||
expect(parseLlmJson<unknown>('')).toBeNull();
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,129 @@
|
||||
/**
|
||||
* v0.41.16.0 — LLM fallback unit tests.
|
||||
*
|
||||
* Hermetic via the `chatTransport` test seam.
|
||||
*
|
||||
* Pins:
|
||||
* - Happy path: parses LLM-returned JSON array
|
||||
* - Adversarial input: LLM returns [] → parser returns [] (skip page)
|
||||
* - Malformed LLM output → fail-open null
|
||||
* - Provider unavailable → null
|
||||
* - Cache hit: doesn't re-call
|
||||
*/
|
||||
|
||||
import { describe, expect, test, beforeEach } from 'bun:test';
|
||||
import { withEnv } from '../helpers/with-env.ts';
|
||||
import { runLlmFallback } from '../../src/core/conversation-parser/llm-fallback.ts';
|
||||
import { _resetLlmCacheForTests } from '../../src/core/conversation-parser/llm-base.ts';
|
||||
import { makeChatResult } from './helpers.ts';
|
||||
|
||||
beforeEach(() => {
|
||||
_resetLlmCacheForTests();
|
||||
});
|
||||
|
||||
describe('runLlmFallback', () => {
|
||||
test('happy path: parses LLM JSON output', async () => {
|
||||
await withEnv({ ANTHROPIC_API_KEY: 'sk-test' }, async () => {
|
||||
const result = await runLlmFallback({
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
body: 'some-novel-chat-format',
|
||||
chatTransport: async () =>
|
||||
makeChatResult(
|
||||
JSON.stringify([
|
||||
{ speaker: 'Alice', timestamp: '2024-03-15T18:37:00Z', text: 'hello' },
|
||||
{ speaker: 'Bob', timestamp: '2024-03-15T18:38:00Z', text: 'world' },
|
||||
]),
|
||||
{ input_tokens: 10, output_tokens: 30 },
|
||||
),
|
||||
});
|
||||
expect(result).not.toBeNull();
|
||||
expect(result).toHaveLength(2);
|
||||
expect(result![0].speaker).toBe('Alice');
|
||||
expect(result![1].text).toBe('world');
|
||||
});
|
||||
});
|
||||
|
||||
test('adversarial input: LLM returns [] → empty array', async () => {
|
||||
await withEnv({ ANTHROPIC_API_KEY: 'sk-test' }, async () => {
|
||||
const result = await runLlmFallback({
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
body: 'This is just a recipe for cookies. Not a chat log.',
|
||||
chatTransport: async () => makeChatResult('[]', { input_tokens: 10, output_tokens: 1 }),
|
||||
});
|
||||
expect(result).toEqual([]);
|
||||
});
|
||||
});
|
||||
|
||||
test('malformed output → fail-open null', async () => {
|
||||
await withEnv({ ANTHROPIC_API_KEY: 'sk-test' }, async () => {
|
||||
const result = await runLlmFallback({
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
body: 'something',
|
||||
chatTransport: async () =>
|
||||
makeChatResult(
|
||||
'I think this might be a chat log but I am not sure.',
|
||||
{ input_tokens: 10, output_tokens: 12 },
|
||||
),
|
||||
});
|
||||
expect(result).toBeNull();
|
||||
});
|
||||
});
|
||||
|
||||
test('provider unavailable: returns null without calling transport', async () => {
|
||||
await withEnv(
|
||||
{ ANTHROPIC_API_KEY: undefined as unknown as string },
|
||||
async () => {
|
||||
let calls = 0;
|
||||
const result = await runLlmFallback({
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
body: 'whatever',
|
||||
chatTransport: async () => {
|
||||
calls++;
|
||||
return makeChatResult('[]', { input_tokens: 1, output_tokens: 1 });
|
||||
},
|
||||
});
|
||||
expect(result).toBeNull();
|
||||
expect(calls).toBe(0);
|
||||
},
|
||||
);
|
||||
});
|
||||
|
||||
test('cache hit: second call doesnt re-invoke transport', async () => {
|
||||
await withEnv({ ANTHROPIC_API_KEY: 'sk-test' }, async () => {
|
||||
let calls = 0;
|
||||
const opts = {
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
body: 'stable-body-for-cache',
|
||||
chatTransport: async () => {
|
||||
calls++;
|
||||
return makeChatResult('[{"speaker":"A","timestamp":"2024-01-01T00:00:00Z","text":"x"}]', { input_tokens: 1, output_tokens: 1 });
|
||||
},
|
||||
};
|
||||
await runLlmFallback(opts);
|
||||
await runLlmFallback(opts);
|
||||
expect(calls).toBe(1);
|
||||
});
|
||||
});
|
||||
|
||||
test('strips invalid items from array', async () => {
|
||||
await withEnv({ ANTHROPIC_API_KEY: 'sk-test' }, async () => {
|
||||
const result = await runLlmFallback({
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
body: 'something',
|
||||
chatTransport: async () =>
|
||||
makeChatResult(
|
||||
JSON.stringify([
|
||||
{ speaker: 'Alice', timestamp: '2024-03-15T18:37:00Z', text: 'good' },
|
||||
{ speaker: 42, timestamp: 'x', text: 'bad shape' }, // speaker not string
|
||||
{ timestamp: '2024-03-15T18:38:00Z', text: 'missing speaker' },
|
||||
{ speaker: 'Bob', timestamp: '2024-03-15T18:39:00Z', text: 'good2' },
|
||||
]),
|
||||
{ input_tokens: 10, output_tokens: 30 },
|
||||
),
|
||||
});
|
||||
expect(result).toHaveLength(2);
|
||||
expect(result![0].speaker).toBe('Alice');
|
||||
expect(result![1].speaker).toBe('Bob');
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,174 @@
|
||||
/**
|
||||
* v0.41.16.0 — LLM polish unit tests.
|
||||
*
|
||||
* Pins:
|
||||
* - applyPolish pure function: merge + drop + edits
|
||||
* - Headroom guard skip path
|
||||
* - Provider unavailable → input messages unchanged
|
||||
* - Cache hit doesn't re-call
|
||||
*/
|
||||
|
||||
import { describe, expect, test, beforeEach } from 'bun:test';
|
||||
import { withEnv } from '../helpers/with-env.ts';
|
||||
import {
|
||||
runLlmPolish,
|
||||
applyPolish,
|
||||
} from '../../src/core/conversation-parser/llm-polish.ts';
|
||||
import { _resetLlmCacheForTests } from '../../src/core/conversation-parser/llm-base.ts';
|
||||
import { BudgetTracker } from '../../src/core/budget/budget-tracker.ts';
|
||||
import { withBudgetTracker } from '../../src/core/ai/gateway.ts';
|
||||
import type { MatchedMessage } from '../../src/core/conversation-parser/types.ts';
|
||||
import { makeChatResult } from './helpers.ts';
|
||||
|
||||
beforeEach(() => {
|
||||
_resetLlmCacheForTests();
|
||||
});
|
||||
|
||||
const SAMPLE: MatchedMessage[] = [
|
||||
{ speaker: 'Alice', timestamp: '2024-03-15T18:37:00Z', text: 'hello' },
|
||||
{ speaker: 'Alice', timestamp: '2024-03-15T18:37:30Z', text: 'continuation' },
|
||||
{ speaker: 'system', timestamp: '2024-03-15T18:38:00Z', text: 'Bob joined' },
|
||||
{ speaker: 'Bob', timestamp: '2024-03-15T18:39:00Z', text: 'world (edited)' },
|
||||
];
|
||||
|
||||
describe('applyPolish — pure function', () => {
|
||||
test('merge two indices into one', () => {
|
||||
const r = applyPolish(SAMPLE, {
|
||||
merge_indices: [[0, 1]],
|
||||
drop_indices: [],
|
||||
edits: [],
|
||||
});
|
||||
expect(r.messages).toHaveLength(3);
|
||||
expect(r.messages[0].text).toBe('hello\ncontinuation');
|
||||
expect(r.delta.merged).toBe(1);
|
||||
});
|
||||
|
||||
test('drop indices', () => {
|
||||
const r = applyPolish(SAMPLE, {
|
||||
merge_indices: [],
|
||||
drop_indices: [2],
|
||||
edits: [],
|
||||
});
|
||||
expect(r.messages).toHaveLength(3);
|
||||
expect(r.messages.find((m) => m.text === 'Bob joined')).toBeUndefined();
|
||||
expect(r.delta.dropped).toBe(1);
|
||||
});
|
||||
|
||||
test('edit speaker and text', () => {
|
||||
const r = applyPolish(SAMPLE, {
|
||||
merge_indices: [],
|
||||
drop_indices: [],
|
||||
edits: [
|
||||
{ index: 3, field: 'text', value: 'world' },
|
||||
],
|
||||
});
|
||||
expect(r.messages[3].text).toBe('world');
|
||||
expect(r.delta.edits).toBe(1);
|
||||
});
|
||||
|
||||
test('combined: drop system msg, merge two, edit edited marker', () => {
|
||||
const r = applyPolish(SAMPLE, {
|
||||
merge_indices: [[0, 1]],
|
||||
drop_indices: [2],
|
||||
edits: [{ index: 3, field: 'text', value: 'world' }],
|
||||
});
|
||||
expect(r.messages).toHaveLength(2);
|
||||
expect(r.messages[0].text).toBe('hello\ncontinuation');
|
||||
expect(r.messages[1].text).toBe('world');
|
||||
});
|
||||
|
||||
test('no-op: returns messages unchanged', () => {
|
||||
const r = applyPolish(SAMPLE, {
|
||||
merge_indices: [],
|
||||
drop_indices: [],
|
||||
edits: [],
|
||||
});
|
||||
expect(r.messages).toHaveLength(4);
|
||||
expect(r.delta).toEqual({ merged: 0, dropped: 0, edits: 0 });
|
||||
});
|
||||
});
|
||||
|
||||
describe('runLlmPolish', () => {
|
||||
test('happy path: LLM returns polish ops, applied', async () => {
|
||||
await withEnv({ ANTHROPIC_API_KEY: 'sk-test' }, async () => {
|
||||
const r = await runLlmPolish({
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
body: '...full body...',
|
||||
messages: SAMPLE,
|
||||
patternId: 'imessage-slack',
|
||||
chatTransport: async () =>
|
||||
makeChatResult(
|
||||
JSON.stringify({
|
||||
merge_indices: [[0, 1]],
|
||||
drop_indices: [2],
|
||||
edits: [{ index: 3, field: 'text', value: 'world' }],
|
||||
}),
|
||||
{ input_tokens: 100, output_tokens: 50 },
|
||||
),
|
||||
});
|
||||
expect(r.skipped).toBeUndefined();
|
||||
expect(r.messages).toHaveLength(2);
|
||||
expect(r.delta.merged).toBe(1);
|
||||
expect(r.delta.dropped).toBe(1);
|
||||
expect(r.delta.edits).toBe(1);
|
||||
});
|
||||
});
|
||||
|
||||
test('headroom guard: skips when tracker within $0.10 of cap', async () => {
|
||||
await withEnv({ ANTHROPIC_API_KEY: 'sk-test' }, async () => {
|
||||
const t = new BudgetTracker({ label: 'unit', maxCostUsd: 0.05 });
|
||||
let calls = 0;
|
||||
await withBudgetTracker(t, async () => {
|
||||
const r = await runLlmPolish({
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
body: 'b',
|
||||
messages: SAMPLE,
|
||||
patternId: 'imessage-slack',
|
||||
chatTransport: async () => {
|
||||
calls++;
|
||||
return makeChatResult('{"merge_indices":[],"drop_indices":[],"edits":[]}', { input_tokens: 1, output_tokens: 1 });
|
||||
},
|
||||
});
|
||||
expect(r.skipped).toBe('headroom');
|
||||
expect(r.messages).toBe(SAMPLE); // unchanged input
|
||||
});
|
||||
expect(calls).toBe(0);
|
||||
});
|
||||
});
|
||||
|
||||
test('provider unavailable: returns input unchanged + skipped=provider', async () => {
|
||||
await withEnv(
|
||||
{ ANTHROPIC_API_KEY: undefined as unknown as string },
|
||||
async () => {
|
||||
const r = await runLlmPolish({
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
body: 'b',
|
||||
messages: SAMPLE,
|
||||
patternId: 'imessage-slack',
|
||||
chatTransport: async () => makeChatResult('{}', { input_tokens: 1, output_tokens: 1 }),
|
||||
});
|
||||
expect(r.skipped).toBe('provider');
|
||||
expect(r.messages).toEqual(SAMPLE);
|
||||
},
|
||||
);
|
||||
});
|
||||
|
||||
test('cache hit on same (body, patternId) pair', async () => {
|
||||
await withEnv({ ANTHROPIC_API_KEY: 'sk-test' }, async () => {
|
||||
let calls = 0;
|
||||
const opts = {
|
||||
modelStr: 'claude-haiku-4-5',
|
||||
body: 'stable',
|
||||
messages: SAMPLE,
|
||||
patternId: 'imessage-slack',
|
||||
chatTransport: async () => {
|
||||
calls++;
|
||||
return makeChatResult('{"merge_indices":[],"drop_indices":[],"edits":[]}', { input_tokens: 1, output_tokens: 1 });
|
||||
},
|
||||
};
|
||||
await runLlmPolish(opts);
|
||||
await runLlmPolish(opts);
|
||||
expect(calls).toBe(1);
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,107 @@
|
||||
/**
|
||||
* v0.41.16.0 — Nightly probe unit tests.
|
||||
*
|
||||
* Hermetic via NightlyProbeDeps injection. No real LLM calls.
|
||||
*
|
||||
* Pins:
|
||||
* - Disabled + mode=conservative → rate_limited (informational)
|
||||
* - Mode=tokenmax overrides disable
|
||||
* - 24h rate limit → rate_limited
|
||||
* - No LLM key → no_embedding_key
|
||||
* - Fixture path missing → fail
|
||||
* - Adversarial false positive → adversarial_false_positive
|
||||
* - All pass → pass
|
||||
*/
|
||||
|
||||
import { describe, expect, test } from 'bun:test';
|
||||
import { mkdtempSync, writeFileSync } from 'node:fs';
|
||||
import { tmpdir } from 'node:os';
|
||||
import { join } from 'node:path';
|
||||
import {
|
||||
runConversationParserNightlyProbe,
|
||||
type NightlyProbeDeps,
|
||||
} from '../../src/core/conversation-parser/nightly-probe.ts';
|
||||
|
||||
function tmpFixture(content: string): string {
|
||||
const dir = mkdtempSync(join(tmpdir(), 'probe-'));
|
||||
const path = join(dir, 'fix.jsonl');
|
||||
writeFileSync(path, content);
|
||||
return path;
|
||||
}
|
||||
|
||||
const POSITIVE = `{"fixture_id":"f1","pattern":"imessage-slack","frontmatter":{"date":"2024-03-15"},"body":"**Alice** (2024-03-15 9:00 AM): hi","expected_messages":1,"expected_participants":["Alice"]}`;
|
||||
const ADVERSARIAL = `{"fixture_id":"a1","pattern":null,"frontmatter":{"date":"2024-03-15"},"body":"just prose","expected_messages":0,"expected_participants":[]}`;
|
||||
|
||||
function baseDeps(overrides: Partial<NightlyProbeDeps> = {}): NightlyProbeDeps {
|
||||
return {
|
||||
isEnabled: () => true,
|
||||
searchMode: () => 'balanced',
|
||||
hasLlmKey: () => true,
|
||||
resolveFixturePath: () => tmpFixture(POSITIVE),
|
||||
resolveAdversarialPath: () => tmpFixture(ADVERSARIAL),
|
||||
now: () => new Date('2026-05-26T00:00:00Z'),
|
||||
shouldSkipForRateLimit: () => false,
|
||||
...overrides,
|
||||
};
|
||||
}
|
||||
|
||||
describe('runConversationParserNightlyProbe', () => {
|
||||
test('disabled + balanced mode → rate_limited (informational)', async () => {
|
||||
const r = await runConversationParserNightlyProbe(
|
||||
baseDeps({ isEnabled: () => false, searchMode: () => 'balanced' }),
|
||||
);
|
||||
expect(r.outcome).toBe('rate_limited');
|
||||
expect(r.reason).toContain('enabled=false');
|
||||
});
|
||||
|
||||
test('disabled but mode=tokenmax → proceeds (default-on per D10)', async () => {
|
||||
const r = await runConversationParserNightlyProbe(
|
||||
baseDeps({ isEnabled: () => false, searchMode: () => 'tokenmax' }),
|
||||
);
|
||||
expect(r.outcome).toBe('pass');
|
||||
});
|
||||
|
||||
test('24h rate limit → rate_limited', async () => {
|
||||
const r = await runConversationParserNightlyProbe(
|
||||
baseDeps({ shouldSkipForRateLimit: () => true }),
|
||||
);
|
||||
expect(r.outcome).toBe('rate_limited');
|
||||
expect(r.reason).toContain('24h');
|
||||
});
|
||||
|
||||
test('no LLM key → no_embedding_key', async () => {
|
||||
const r = await runConversationParserNightlyProbe(
|
||||
baseDeps({ hasLlmKey: () => false }),
|
||||
);
|
||||
expect(r.outcome).toBe('no_embedding_key');
|
||||
});
|
||||
|
||||
test('happy path: all pass', async () => {
|
||||
const r = await runConversationParserNightlyProbe(baseDeps());
|
||||
expect(r.outcome).toBe('pass');
|
||||
expect(r.fixtures_total).toBe(2);
|
||||
expect(r.fixtures_passed).toBe(2);
|
||||
expect(r.adversarial_false_positives).toBe(0);
|
||||
});
|
||||
|
||||
test('adversarial false positive → adversarial_false_positive', async () => {
|
||||
// Adversarial fixture that LOOKS like iMessage; the parser will
|
||||
// match it and the eval will flag as fp.
|
||||
const adversarialThatMatches = `{"fixture_id":"a-bad","pattern":null,"frontmatter":{"date":"2024-03-15"},"body":"**Alice** (2024-03-15 9:00 AM): I was supposed to be unparseable","expected_messages":0,"expected_participants":[]}`;
|
||||
const r = await runConversationParserNightlyProbe(
|
||||
baseDeps({
|
||||
resolveAdversarialPath: () => tmpFixture(adversarialThatMatches),
|
||||
}),
|
||||
);
|
||||
expect(r.outcome).toBe('adversarial_false_positive');
|
||||
expect(r.adversarial_false_positives).toBe(1);
|
||||
});
|
||||
|
||||
test('fixture path missing → fail', async () => {
|
||||
const r = await runConversationParserNightlyProbe(
|
||||
baseDeps({ resolveFixturePath: () => '/nonexistent/path.jsonl' }),
|
||||
);
|
||||
expect(r.outcome).toBe('fail');
|
||||
expect(r.reason).toContain('missing');
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,348 @@
|
||||
/**
|
||||
* v0.41.16.0 — Conversation parser orchestrator tests.
|
||||
*
|
||||
* Covers:
|
||||
* - PR #1461's 6 telegram-bracket cases verbatim (REGRESSION pin)
|
||||
* - All 12 built-in patterns hit their test_positive samples
|
||||
* - Date derivation precedence (D8)
|
||||
* - Pattern priority scoring (D18) — overlap resolution
|
||||
* - Quick-reject fast path (D11)
|
||||
* - Multi-line continuation (D5)
|
||||
* - Disabled-builtin honored
|
||||
* - Timezone warning (D19) emitted when frontmatter timezone missing
|
||||
*
|
||||
* Pure-function tests; no PGLite, no LLM. The LLM polish/fallback
|
||||
* tests live in `llm-base.test.ts`, `llm-polish.test.ts`,
|
||||
* `llm-fallback.test.ts` (T4).
|
||||
*/
|
||||
|
||||
import { describe, expect, test } from 'bun:test';
|
||||
import {
|
||||
parseConversation,
|
||||
deriveDateContext,
|
||||
applyPattern,
|
||||
scorePattern,
|
||||
} from '../../src/core/conversation-parser/parse.ts';
|
||||
import { BUILTIN_PATTERNS } from '../../src/core/conversation-parser/builtins.ts';
|
||||
import type { Page } from '../../src/core/types.ts';
|
||||
|
||||
// Helper to construct a minimal Page for date-derivation tests.
|
||||
function makePage(
|
||||
frontmatter: Record<string, unknown> = {},
|
||||
effective_date?: Date,
|
||||
): Page {
|
||||
return {
|
||||
id: 1,
|
||||
slug: 'test/page',
|
||||
type: 'conversation',
|
||||
title: 'Test',
|
||||
compiled_truth: '',
|
||||
timeline: '',
|
||||
frontmatter,
|
||||
content_hash: undefined,
|
||||
created_at: new Date(),
|
||||
updated_at: new Date(),
|
||||
effective_date: effective_date ?? null,
|
||||
} as Page;
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// REGRESSION: PR #1461's 6 telegram-bracket cases verbatim
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
describe('parseConversation — REGRESSION PR #1461 (telegram-bracket)', () => {
|
||||
test('bracket-time with 👤 emoji speaker prefix', () => {
|
||||
const body = '**[18:37] \u{1f464} G T:** hello world';
|
||||
const r = parseConversation(body, { fallbackDate: '2026-05-24' });
|
||||
expect(r.messages).toHaveLength(1);
|
||||
expect(r.messages[0].speaker).toBe('G T');
|
||||
expect(r.messages[0].text).toBe('hello world');
|
||||
expect(r.messages[0].timestamp).toBe('2026-05-24T18:37:00Z');
|
||||
expect(r.matched_pattern_id).toBe('telegram-bracket');
|
||||
});
|
||||
|
||||
test('bracket-time with 🤖 robot emoji', () => {
|
||||
const body = '**[06:00] \u{1f916} Zion:** On it.';
|
||||
const r = parseConversation(body, { fallbackDate: '2026-05-25' });
|
||||
expect(r.messages).toHaveLength(1);
|
||||
expect(r.messages[0].speaker).toBe('Zion');
|
||||
expect(r.messages[0].text).toBe('On it.');
|
||||
expect(r.messages[0].timestamp).toBe('2026-05-25T06:00:00Z');
|
||||
});
|
||||
|
||||
test('bracket-time multi-line continuation', () => {
|
||||
const body = [
|
||||
'**[09:00] \u{1f464} Alice Example:** first line',
|
||||
'second line of same message',
|
||||
'**[09:05] \u{1f464} Bob Example:** separate message',
|
||||
].join('\n');
|
||||
const r = parseConversation(body, { fallbackDate: '2026-05-20' });
|
||||
expect(r.messages).toHaveLength(2);
|
||||
expect(r.messages[0].text).toBe('first line\nsecond line of same message');
|
||||
expect(r.messages[1].text).toBe('separate message');
|
||||
});
|
||||
|
||||
test('bracket-time falls back to 1970-01-01 without fallbackDate', () => {
|
||||
const body = '**[14:30] \u{1f464} Alice Example:** test';
|
||||
const r = parseConversation(body);
|
||||
expect(r.messages).toHaveLength(1);
|
||||
expect(r.messages[0].timestamp).toBe('1970-01-01T14:30:00Z');
|
||||
});
|
||||
|
||||
test('mixed formats in one body: iMessage + bracket-time', () => {
|
||||
const body = [
|
||||
'**Alice Example** (2024-03-15 9:00 AM): format 1',
|
||||
'**[10:30] \u{1f464} Bob Example:** format 2',
|
||||
].join('\n');
|
||||
const r = parseConversation(body, { fallbackDate: '2024-03-15' });
|
||||
// D18 scoring picks the dominant pattern. Both have one hit; ties
|
||||
// resolve to declared priority (imessage-slack=0, telegram-bracket=1).
|
||||
// The imessage line matches; the telegram line becomes a
|
||||
// continuation. This is a known D18 tradeoff for very-mixed bodies.
|
||||
// In practice every chat export is homogeneous, so this is a
|
||||
// degenerate test case.
|
||||
expect(r.messages.length).toBeGreaterThanOrEqual(1);
|
||||
expect(r.matched_pattern_id).toBe('imessage-slack');
|
||||
});
|
||||
|
||||
test('bracket-time without emoji prefix', () => {
|
||||
const body = '**[22:15] Plain Name:** no emoji';
|
||||
const r = parseConversation(body, { fallbackDate: '2026-01-01' });
|
||||
expect(r.messages).toHaveLength(1);
|
||||
expect(r.messages[0].speaker).toBe('Plain Name');
|
||||
expect(r.messages[0].text).toBe('no emoji');
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// All 12 built-ins must parse their test_positive samples
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
describe('parseConversation — every built-in matches its test_positive sample', () => {
|
||||
for (const entry of BUILTIN_PATTERNS) {
|
||||
test(`pattern ${entry.id}: first test_positive parses`, () => {
|
||||
const body = entry.test_positive[0];
|
||||
// Multi-line patterns need a body line on the next line.
|
||||
const fullBody =
|
||||
entry.multi_line && entry.captures.text_group === 0
|
||||
? `${body}\nsome body text`
|
||||
: body;
|
||||
const r = parseConversation(fullBody, {
|
||||
fallbackDate: '2024-03-15',
|
||||
});
|
||||
// Either matches a message OR (for some multi-line patterns) the
|
||||
// first line is the anchor and the body is consumed as text.
|
||||
expect(r.messages.length).toBeGreaterThanOrEqual(1);
|
||||
expect(r.matched_pattern_id).toBe(entry.id);
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Date derivation precedence (D8)
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
describe('deriveDateContext (D8 precedence chain)', () => {
|
||||
test('explicit fallbackDate wins', () => {
|
||||
const page = makePage({ date: '2024-01-01' }, new Date('2023-06-15'));
|
||||
const ctx = deriveDateContext({ fallbackDate: '2025-12-25', page });
|
||||
expect(ctx.fallbackDate).toBe('2025-12-25');
|
||||
expect(ctx.source).toBe('explicit');
|
||||
});
|
||||
test('frontmatter.date wins over effective_date', () => {
|
||||
const page = makePage({ date: '2024-01-01' }, new Date('2023-06-15'));
|
||||
const ctx = deriveDateContext({ page });
|
||||
expect(ctx.fallbackDate).toBe('2024-01-01');
|
||||
expect(ctx.source).toBe('frontmatter_date');
|
||||
});
|
||||
test('effective_date wins when no frontmatter.date', () => {
|
||||
const page = makePage({}, new Date('2023-06-15T00:00:00Z'));
|
||||
const ctx = deriveDateContext({ page });
|
||||
expect(ctx.fallbackDate).toBe('2023-06-15');
|
||||
expect(ctx.source).toBe('effective_date');
|
||||
});
|
||||
test('epoch_default when nothing set', () => {
|
||||
const ctx = deriveDateContext({});
|
||||
expect(ctx.fallbackDate).toBe('1970-01-01');
|
||||
expect(ctx.source).toBe('epoch_default');
|
||||
});
|
||||
test('frontmatter.timezone surfaces', () => {
|
||||
const page = makePage({
|
||||
date: '2024-01-01',
|
||||
timezone: 'America/Los_Angeles',
|
||||
});
|
||||
const ctx = deriveDateContext({ page });
|
||||
expect(ctx.timezone).toBe('America/Los_Angeles');
|
||||
});
|
||||
test('invalid frontmatter.date falls through', () => {
|
||||
const page = makePage({ date: 'not-a-date' });
|
||||
const ctx = deriveDateContext({ page });
|
||||
expect(ctx.source).toBe('epoch_default');
|
||||
});
|
||||
test('frontmatter.date slices full ISO to YYYY-MM-DD', () => {
|
||||
const page = makePage({ date: '2024-03-15T18:37:00Z' });
|
||||
const ctx = deriveDateContext({ page });
|
||||
expect(ctx.fallbackDate).toBe('2024-03-15');
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Pattern priority scoring (D18)
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
describe('scorePattern (D18 priority scoring)', () => {
|
||||
test('telegram-bracket scores 1.0 on a pure telegram body', () => {
|
||||
const body = [
|
||||
'**[18:37] \u{1f464} Alice:** one',
|
||||
'**[18:38] \u{1f464} Bob:** two',
|
||||
'**[18:39] \u{1f464} Alice:** three',
|
||||
].join('\n');
|
||||
const tg = BUILTIN_PATTERNS.find((p) => p.id === 'telegram-bracket')!;
|
||||
expect(scorePattern(body, tg)).toBe(1);
|
||||
});
|
||||
test('imessage-slack scores 0 on pure telegram body', () => {
|
||||
const body = [
|
||||
'**[18:37] \u{1f464} Alice:** one',
|
||||
'**[18:38] \u{1f464} Bob:** two',
|
||||
].join('\n');
|
||||
const im = BUILTIN_PATTERNS.find((p) => p.id === 'imessage-slack')!;
|
||||
expect(scorePattern(body, im)).toBe(0);
|
||||
});
|
||||
test('mixed body: D18 picks the higher-scoring pattern', () => {
|
||||
// 3 telegram lines + 1 imessage line. Telegram should win.
|
||||
const body = [
|
||||
'**[18:37] \u{1f464} Alice:** one',
|
||||
'**[18:38] \u{1f464} Bob:** two',
|
||||
'**[18:39] \u{1f464} Alice:** three',
|
||||
'**Charlie** (2024-03-15 9:00 AM): one imessage',
|
||||
].join('\n');
|
||||
const r = parseConversation(body, { fallbackDate: '2024-03-15' });
|
||||
expect(r.matched_pattern_id).toBe('telegram-bracket');
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Disabled-builtin honored
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
describe('parseConversation — disabledBuiltinIds', () => {
|
||||
test('disabling top pattern falls through to next', () => {
|
||||
const body = '**[18:37] \u{1f464} Alice:** hello';
|
||||
const rDefault = parseConversation(body, { fallbackDate: '2024-03-15' });
|
||||
expect(rDefault.matched_pattern_id).toBe('telegram-bracket');
|
||||
const rDisabled = parseConversation(body, {
|
||||
fallbackDate: '2024-03-15',
|
||||
disabledBuiltinIds: ['telegram-bracket'],
|
||||
});
|
||||
// No other built-in matches this exact shape → no_match.
|
||||
expect(rDisabled.phase).toBe('no_match');
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Multi-line continuation (D5)
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
describe('parseConversation — multi-line continuation (D5)', () => {
|
||||
test('iMessage continuation absorbs orphan lines', () => {
|
||||
const body = [
|
||||
'**Alice Example** (2024-03-15 9:00 AM): first line',
|
||||
'continuation line',
|
||||
'another continuation',
|
||||
'**Bob Example** (2024-03-15 9:05 AM): second message',
|
||||
].join('\n');
|
||||
const r = parseConversation(body);
|
||||
expect(r.messages).toHaveLength(2);
|
||||
expect(r.messages[0].text).toBe(
|
||||
'first line\ncontinuation line\nanother continuation',
|
||||
);
|
||||
expect(r.messages[1].text).toBe('second message');
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Timezone warning (D19)
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
describe('parseConversation — timezone warning (D19)', () => {
|
||||
test('telegram-bracket emits warning when no timezone in frontmatter', () => {
|
||||
const body = '**[18:37] \u{1f464} Alice:** hello';
|
||||
const r = parseConversation(body, { fallbackDate: '2024-03-15' });
|
||||
expect(r.timezone_warning).toBeDefined();
|
||||
expect(r.timezone_warning).toContain('telegram-bracket');
|
||||
expect(r.timezone_warning).toContain('UTC');
|
||||
});
|
||||
test('telegram-bracket does NOT warn when timezone is present', () => {
|
||||
const body = '**[18:37] \u{1f464} Alice:** hello';
|
||||
const page = makePage({
|
||||
date: '2024-03-15',
|
||||
timezone: 'America/Los_Angeles',
|
||||
});
|
||||
const r = parseConversation(body, { page });
|
||||
expect(r.timezone_warning).toBeUndefined();
|
||||
});
|
||||
test('imessage-slack does NOT warn (inline_utc policy)', () => {
|
||||
const body = '**Alice Example** (2024-03-15 9:00 AM): hello';
|
||||
const r = parseConversation(body);
|
||||
expect(r.timezone_warning).toBeUndefined();
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Empty body + degenerate cases
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
describe('parseConversation — degenerate inputs', () => {
|
||||
test('empty body returns no_match + empty messages', () => {
|
||||
expect(parseConversation('')).toEqual({
|
||||
messages: [],
|
||||
phase: 'no_match',
|
||||
});
|
||||
});
|
||||
test('non-conversational text returns no_match', () => {
|
||||
const r = parseConversation('This is just prose with no chat shape.');
|
||||
expect(r.phase).toBe('no_match');
|
||||
expect(r.messages).toHaveLength(0);
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// applyPattern — direct unit tests for the matcher
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
describe('applyPattern — quick_reject fast path (D11)', () => {
|
||||
test('telegram quick_reject skips iMessage lines fast', () => {
|
||||
const body = '**Alice Example** (2024-03-15 9:00 AM): hello';
|
||||
const tg = BUILTIN_PATTERNS.find((p) => p.id === 'telegram-bracket')!;
|
||||
const r = applyPattern(body, tg, {
|
||||
fallbackDate: '2024-03-15',
|
||||
source: 'explicit',
|
||||
});
|
||||
// Quick_reject /^\*\*\[/ rejects '**Alice' (no `[`). Zero matches.
|
||||
expect(r).toHaveLength(0);
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// scorePattern boundary cases
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
describe('scorePattern — boundary', () => {
|
||||
test('empty body scores 0', () => {
|
||||
const tg = BUILTIN_PATTERNS.find((p) => p.id === 'telegram-bracket')!;
|
||||
expect(scorePattern('', tg)).toBe(0);
|
||||
});
|
||||
test('only blank lines scores 0', () => {
|
||||
const tg = BUILTIN_PATTERNS.find((p) => p.id === 'telegram-bracket')!;
|
||||
expect(scorePattern('\n\n \n', tg)).toBe(0);
|
||||
});
|
||||
test('caps at SCORING_HEAD_LINES (10) lines', () => {
|
||||
// 100 telegram lines → still scores 1.0 because only first 10 sampled.
|
||||
const body = Array.from(
|
||||
{ length: 100 },
|
||||
(_, i) => `**[18:${String(i).padStart(2, '0')}] \u{1f464} Alice:** msg ${i}`,
|
||||
).join('\n');
|
||||
const tg = BUILTIN_PATTERNS.find((p) => p.id === 'telegram-bracket')!;
|
||||
expect(scorePattern(body, tg)).toBe(1);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,98 @@
|
||||
/**
|
||||
* v0.41.16.0 — Targeted assertions for the 3 new doctor checks.
|
||||
*
|
||||
* Spawns `bun src/cli.ts doctor --json --fast` as a subprocess and
|
||||
* parses the JSON envelope to verify:
|
||||
*
|
||||
* - conversation_format_coverage
|
||||
* - progressive_batch_audit_health
|
||||
* - conversation_parser_probe_health
|
||||
*
|
||||
* are present with stable shapes. The full doctor surface is covered
|
||||
* by test/doctor.test.ts; this file is a structural regression guard
|
||||
* for the 3 new v0.41.16.0 checks.
|
||||
*
|
||||
* Spawning the subprocess matches the actual user experience (`gbrain
|
||||
* doctor`) and avoids the in-process env/stdout-capture brittleness
|
||||
* that bit the original test draft.
|
||||
*/
|
||||
|
||||
import { describe, expect, test } from 'bun:test';
|
||||
import { spawnSync } from 'node:child_process';
|
||||
|
||||
interface DoctorCheck {
|
||||
name: string;
|
||||
status: 'ok' | 'warn' | 'fail';
|
||||
message: string;
|
||||
}
|
||||
interface DoctorEnvelope {
|
||||
schema_version: number;
|
||||
status: 'healthy' | 'unhealthy';
|
||||
health_score: number;
|
||||
checks: DoctorCheck[];
|
||||
}
|
||||
|
||||
function runDoctor(): DoctorEnvelope {
|
||||
const result = spawnSync(
|
||||
process.execPath, // bun
|
||||
['src/cli.ts', 'doctor', '--json', '--fast'],
|
||||
{
|
||||
cwd: process.cwd(),
|
||||
encoding: 'utf8',
|
||||
timeout: 60000,
|
||||
},
|
||||
);
|
||||
if (result.error) throw result.error;
|
||||
// Doctor's JSON envelope is the LAST line in stdout (CLI may print
|
||||
// banners on stderr; --json sends the envelope to stdout).
|
||||
const stdout = result.stdout ?? '';
|
||||
const lines = stdout.split('\n').filter((l) => l.trim().length > 0);
|
||||
const jsonLine = lines.reverse().find((l) => l.trim().startsWith('{'));
|
||||
if (!jsonLine) {
|
||||
throw new Error(
|
||||
`No JSON envelope found in doctor output. stdout=${stdout.slice(0, 500)} stderr=${(result.stderr ?? '').slice(0, 500)}`,
|
||||
);
|
||||
}
|
||||
return JSON.parse(jsonLine) as DoctorEnvelope;
|
||||
}
|
||||
|
||||
describe('doctor — v0.41.16.0 new checks emit', () => {
|
||||
test('all 3 new checks present in JSON envelope', () => {
|
||||
const env = runDoctor();
|
||||
const checkNames = env.checks.map((c) => c.name);
|
||||
// conversation_format_coverage may not appear in --fast mode (it
|
||||
// requires DB access); progressive_batch_audit_health and
|
||||
// conversation_parser_probe_health do not need DB.
|
||||
expect(checkNames).toContain('progressive_batch_audit_health');
|
||||
expect(checkNames).toContain('conversation_parser_probe_health');
|
||||
});
|
||||
|
||||
test('progressive_batch_audit_health shape', () => {
|
||||
const env = runDoctor();
|
||||
const check = env.checks.find(
|
||||
(c) => c.name === 'progressive_batch_audit_health',
|
||||
);
|
||||
expect(check).toBeDefined();
|
||||
expect(['ok', 'warn', 'fail']).toContain(check!.status);
|
||||
expect(typeof check!.message).toBe('string');
|
||||
expect(check!.message.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
test('conversation_parser_probe_health shape + opt-in hint', () => {
|
||||
const env = runDoctor();
|
||||
const check = env.checks.find(
|
||||
(c) => c.name === 'conversation_parser_probe_health',
|
||||
);
|
||||
expect(check).toBeDefined();
|
||||
expect(check!.status).toBe('ok');
|
||||
expect(check!.message).toContain('opt-in');
|
||||
expect(check!.message).toContain(
|
||||
'autopilot.conversation_parser_probe.enabled true',
|
||||
);
|
||||
});
|
||||
|
||||
test('schema_version is stable (2 at v0.41.16.0)', () => {
|
||||
const env = runDoctor();
|
||||
expect(env.schema_version).toBe(2);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,163 @@
|
||||
/**
|
||||
* v0.41.16.0 — E2E test for the conversation parser cathedral against
|
||||
* a real PGLite brain.
|
||||
*
|
||||
* For each of the 12 built-in formats: seed a page through
|
||||
* `importFromContent`, run `parseConversation` against the body, assert
|
||||
* the parser identifies the correct pattern AND produces at least one
|
||||
* message AND the message timestamp lands in the expected date range.
|
||||
*
|
||||
* Per CLAUDE.md test-isolation R3+R4: uses the canonical PGLite block.
|
||||
* Hermetic (no DATABASE_URL needed); the in-memory PGLite is created
|
||||
* once per file and reset between tests.
|
||||
*
|
||||
* This is the integration test that proves the parser ↔ engine
|
||||
* interaction is correct for the dream cycle's
|
||||
* `conversation_facts_backfill` phase.
|
||||
*/
|
||||
|
||||
import { describe, expect, test, beforeAll, afterAll, beforeEach } from 'bun:test';
|
||||
import { PGLiteEngine } from '../../src/core/pglite-engine.ts';
|
||||
import { resetPgliteState } from '../helpers/reset-pglite.ts';
|
||||
import {
|
||||
parseConversation,
|
||||
} from '../../src/core/conversation-parser/parse.ts';
|
||||
import { BUILTIN_PATTERNS } from '../../src/core/conversation-parser/builtins.ts';
|
||||
import { importFromContent } from '../../src/core/import-file.ts';
|
||||
import type { Page } from '../../src/core/types.ts';
|
||||
|
||||
let engine: PGLiteEngine;
|
||||
|
||||
beforeAll(async () => {
|
||||
engine = new PGLiteEngine();
|
||||
await engine.connect({});
|
||||
await engine.initSchema();
|
||||
});
|
||||
|
||||
afterAll(async () => {
|
||||
await engine.disconnect();
|
||||
});
|
||||
|
||||
beforeEach(async () => {
|
||||
await resetPgliteState(engine);
|
||||
});
|
||||
|
||||
/**
|
||||
* Build a conversation page body using the first test_positive sample
|
||||
* from the pattern's registry entry. Multi-line patterns get a body
|
||||
* line appended.
|
||||
*/
|
||||
function buildSampleBody(patternId: string): string {
|
||||
const pattern = BUILTIN_PATTERNS.find((p) => p.id === patternId);
|
||||
if (!pattern) throw new Error(`pattern ${patternId} not found`);
|
||||
// Repeat the positive sample 3 times with slight variations to
|
||||
// simulate a multi-message conversation.
|
||||
const samples = pattern.test_positive.slice(0, 2);
|
||||
if (pattern.multi_line && pattern.captures.text_group === 0) {
|
||||
// For patterns where text comes from the next line, append a body
|
||||
// line after each header.
|
||||
return samples.flatMap((s, i) => [s, `body line ${i + 1}`]).join('\n');
|
||||
}
|
||||
return samples.join('\n');
|
||||
}
|
||||
|
||||
describe('E2E: parser ↔ engine integration for every built-in', () => {
|
||||
for (const pattern of BUILTIN_PATTERNS) {
|
||||
test(`pattern=${pattern.id}: page imports + parser identifies pattern`, async () => {
|
||||
const slug = `conversations/test/${pattern.id}-sample`;
|
||||
const body = buildSampleBody(pattern.id);
|
||||
const frontmatter: Record<string, unknown> = {
|
||||
type: 'conversation',
|
||||
date: '2024-03-15',
|
||||
};
|
||||
if (pattern.timezone_policy === 'utc_assumed_with_warn') {
|
||||
// Some patterns warn without a timezone; provide one to avoid
|
||||
// stderr noise in the test output.
|
||||
frontmatter.timezone = 'America/Los_Angeles';
|
||||
}
|
||||
|
||||
// Seed the page through the canonical import path.
|
||||
const fullBody = `---\n${Object.entries(frontmatter)
|
||||
.map(([k, v]) => `${k}: ${typeof v === 'string' ? v : JSON.stringify(v)}`)
|
||||
.join('\n')}\n---\n\n${body}`;
|
||||
await importFromContent(engine, slug, fullBody, {
|
||||
sourceId: 'default',
|
||||
noEmbed: true,
|
||||
});
|
||||
|
||||
// Read the page back and parse it through the orchestrator
|
||||
// (mirrors what extract-conversation-facts.ts does in production).
|
||||
const page = (await engine.getPage(slug)) as Page;
|
||||
expect(page).not.toBeNull();
|
||||
|
||||
const bodyToParse = `${page.compiled_truth ?? ''}\n${page.timeline ?? ''}`.trim();
|
||||
const result = parseConversation(bodyToParse, { page });
|
||||
|
||||
expect(result.phase).toBe('regex_match');
|
||||
expect(result.matched_pattern_id).toBe(pattern.id);
|
||||
expect(result.messages.length).toBeGreaterThanOrEqual(1);
|
||||
|
||||
// Every parsed message has a valid ISO timestamp.
|
||||
for (const msg of result.messages) {
|
||||
const ts = Date.parse(msg.timestamp);
|
||||
expect(Number.isFinite(ts)).toBe(true);
|
||||
// Pattern's timezone policy determines date range constraints.
|
||||
// For inline-date patterns the date is in the line; for
|
||||
// time-only patterns it's from frontmatter ('2024-03-15').
|
||||
if (pattern.date_source === 'frontmatter') {
|
||||
expect(msg.timestamp.slice(0, 10)).toBe('2024-03-15');
|
||||
}
|
||||
expect(msg.speaker.length).toBeGreaterThan(0);
|
||||
}
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
describe('E2E: parser handles unparseable bodies cleanly', () => {
|
||||
test('non-chat content returns no_match without crashing', async () => {
|
||||
const slug = 'conversations/test/not-a-chat';
|
||||
const fullBody = `---\ntype: conversation\ndate: 2024-03-15\n---\n\nThis is just prose. It has no chat structure at all. Just words that flow.`;
|
||||
await importFromContent(engine, slug, fullBody, {
|
||||
sourceId: 'default',
|
||||
noEmbed: true,
|
||||
});
|
||||
const page = (await engine.getPage(slug)) as Page;
|
||||
const bodyToParse = `${page.compiled_truth ?? ''}\n${page.timeline ?? ''}`.trim();
|
||||
const result = parseConversation(bodyToParse, { page });
|
||||
expect(result.phase).toBe('no_match');
|
||||
expect(result.messages).toEqual([]);
|
||||
});
|
||||
|
||||
test('empty body returns no_match', async () => {
|
||||
const slug = 'conversations/test/empty';
|
||||
const fullBody = `---\ntype: conversation\ndate: 2024-03-15\n---\n\n`;
|
||||
await importFromContent(engine, slug, fullBody, {
|
||||
sourceId: 'default',
|
||||
noEmbed: true,
|
||||
});
|
||||
const page = (await engine.getPage(slug)) as Page;
|
||||
const result = parseConversation(`${page.compiled_truth ?? ''}\n${page.timeline ?? ''}`.trim(), { page });
|
||||
expect(result.phase).toBe('no_match');
|
||||
expect(result.messages).toEqual([]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('E2E: D8 date derivation chain through Page', () => {
|
||||
test('frontmatter.date wins over epoch default', async () => {
|
||||
const slug = 'conversations/test/date-derive';
|
||||
const body = '**[18:37] 👤 Alice:** hi';
|
||||
const fullBody = `---\ntype: conversation\ndate: 2026-05-24\ntimezone: America/Los_Angeles\n---\n\n${body}`;
|
||||
await importFromContent(engine, slug, fullBody, {
|
||||
sourceId: 'default',
|
||||
noEmbed: true,
|
||||
});
|
||||
const page = (await engine.getPage(slug)) as Page;
|
||||
const result = parseConversation(
|
||||
`${page.compiled_truth ?? ''}\n${page.timeline ?? ''}`.trim(),
|
||||
{ page },
|
||||
);
|
||||
expect(result.matched_pattern_id).toBe('telegram-bracket');
|
||||
expect(result.messages).toHaveLength(1);
|
||||
expect(result.messages[0].timestamp).toBe('2026-05-24T18:37:00Z');
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,181 @@
|
||||
/**
|
||||
* v0.41.16.0 — `gbrain eval conversation-parser` CLI behavior tests.
|
||||
*
|
||||
* Covers argv parsing, exit codes (0/1/2), --json envelope shape,
|
||||
* --no-llm flag, --min-recall override, USAGE errors. Pure file I/O,
|
||||
* no DB, no API keys.
|
||||
*
|
||||
* Critical because `bun run check:conversation-parser` is wired into
|
||||
* `bun run verify` — a silent regression in exit-code handling would
|
||||
* make every PR's CI green even when the parser broke.
|
||||
*/
|
||||
|
||||
import { describe, expect, test } from 'bun:test';
|
||||
import { mkdtempSync, writeFileSync } from 'node:fs';
|
||||
import { tmpdir } from 'node:os';
|
||||
import { join } from 'node:path';
|
||||
import { runEvalConversationParser } from '../src/commands/eval-conversation-parser.ts';
|
||||
|
||||
function tmpFixture(content: string): string {
|
||||
const dir = mkdtempSync(join(tmpdir(), 'eval-cli-'));
|
||||
const path = join(dir, 'fix.jsonl');
|
||||
writeFileSync(path, content);
|
||||
return path;
|
||||
}
|
||||
|
||||
const PASS = `{"fixture_id":"p1","pattern":"imessage-slack","frontmatter":{"date":"2024-03-15"},"body":"**Alice** (2024-03-15 9:00 AM): hi","expected_messages":1,"expected_participants":["Alice"]}`;
|
||||
const FAIL_PATTERN_MISMATCH = `{"fixture_id":"f1","pattern":"telegram-bracket","frontmatter":{"date":"2024-03-15"},"body":"**Alice** (2024-03-15 9:00 AM): hi","expected_messages":1,"expected_participants":["Alice"]}`;
|
||||
|
||||
describe('runEvalConversationParser — exit codes', () => {
|
||||
test('exit 0 on all-pass fixture', async () => {
|
||||
const path = tmpFixture(PASS);
|
||||
const code = await runEvalConversationParser([path, '--no-llm']);
|
||||
expect(code).toBe(0);
|
||||
});
|
||||
|
||||
test('exit 1 on any failure', async () => {
|
||||
const path = tmpFixture(FAIL_PATTERN_MISMATCH);
|
||||
const code = await runEvalConversationParser([path, '--no-llm']);
|
||||
expect(code).toBe(1);
|
||||
});
|
||||
|
||||
test('exit 2 on missing fixture argument', async () => {
|
||||
const code = await runEvalConversationParser(['--no-llm']);
|
||||
expect(code).toBe(2);
|
||||
});
|
||||
|
||||
test('exit 2 on nonexistent fixture path', async () => {
|
||||
const code = await runEvalConversationParser([
|
||||
'/nonexistent/path.jsonl',
|
||||
'--no-llm',
|
||||
]);
|
||||
expect(code).toBe(2);
|
||||
});
|
||||
|
||||
test('exit 2 on malformed JSONL', async () => {
|
||||
const path = tmpFixture('NOT-JSON\n');
|
||||
const code = await runEvalConversationParser([path]);
|
||||
expect(code).toBe(2);
|
||||
});
|
||||
|
||||
test('exit 2 on empty fixture file', async () => {
|
||||
const path = tmpFixture('');
|
||||
const code = await runEvalConversationParser([path]);
|
||||
expect(code).toBe(2);
|
||||
});
|
||||
|
||||
test('exit 0 on help', async () => {
|
||||
const code = await runEvalConversationParser(['--help']);
|
||||
expect(code).toBe(0);
|
||||
});
|
||||
});
|
||||
|
||||
describe('runEvalConversationParser — flag parsing', () => {
|
||||
test('positional fixture path works without --fixtures', async () => {
|
||||
const path = tmpFixture(PASS);
|
||||
const code = await runEvalConversationParser([path, '--no-llm']);
|
||||
expect(code).toBe(0);
|
||||
});
|
||||
|
||||
test('--fixtures <path> form works', async () => {
|
||||
const path = tmpFixture(PASS);
|
||||
const code = await runEvalConversationParser([
|
||||
'--fixtures',
|
||||
path,
|
||||
'--no-llm',
|
||||
]);
|
||||
expect(code).toBe(0);
|
||||
});
|
||||
|
||||
test('--fixtures=<path> form works', async () => {
|
||||
const path = tmpFixture(PASS);
|
||||
const code = await runEvalConversationParser([
|
||||
`--fixtures=${path}`,
|
||||
'--no-llm',
|
||||
]);
|
||||
expect(code).toBe(0);
|
||||
});
|
||||
|
||||
test('--min-recall override (lower floor lets near-misses pass)', async () => {
|
||||
// A fixture where the parser only catches 0 of 1 expected messages.
|
||||
// Default --min-recall 0.9 would fail this; --min-recall 0.0 passes.
|
||||
const partial = `{"fixture_id":"pp","pattern":"telegram-bracket","frontmatter":{"date":"2024-03-15"},"body":"this is not a telegram line","expected_messages":1,"expected_participants":["Alice"]}`;
|
||||
const path = tmpFixture(partial);
|
||||
const defaultCode = await runEvalConversationParser([path, '--no-llm']);
|
||||
expect(defaultCode).toBe(1); // expected pattern not matched → fail
|
||||
// Lowering min-recall doesn't rescue a pattern mismatch — pattern
|
||||
// identity is checked separately. This pins that contract.
|
||||
const lowCode = await runEvalConversationParser([
|
||||
path,
|
||||
'--no-llm',
|
||||
'--min-recall',
|
||||
'0.0',
|
||||
]);
|
||||
expect(lowCode).toBe(1);
|
||||
});
|
||||
});
|
||||
|
||||
describe('runEvalConversationParser — --json envelope', () => {
|
||||
test('emits stable schema_version=1 + recall + pattern_coverage', async () => {
|
||||
const path = tmpFixture(PASS);
|
||||
const origWrite = process.stdout.write.bind(process.stdout);
|
||||
const captured: string[] = [];
|
||||
process.stdout.write = ((chunk: string | Uint8Array) => {
|
||||
captured.push(typeof chunk === 'string' ? chunk : Buffer.from(chunk).toString());
|
||||
return true;
|
||||
}) as typeof process.stdout.write;
|
||||
try {
|
||||
const code = await runEvalConversationParser([path, '--no-llm', '--json']);
|
||||
expect(code).toBe(0);
|
||||
} finally {
|
||||
process.stdout.write = origWrite;
|
||||
}
|
||||
const stdout = captured.join('');
|
||||
const json = JSON.parse(stdout.trim());
|
||||
expect(json.schema_version).toBe(1);
|
||||
expect(json.total_fixtures).toBe(1);
|
||||
expect(json.passed).toBe(1);
|
||||
expect(json.failed).toBe(0);
|
||||
expect(json.recall_mean).toBe(1);
|
||||
expect(json.participants_recall_mean).toBe(1);
|
||||
expect(json.pattern_coverage).toEqual({ 'imessage-slack': 1 });
|
||||
expect(json.fixtures).toHaveLength(1);
|
||||
expect(json.failed_fixture_ids).toEqual([]);
|
||||
});
|
||||
|
||||
test('--json on failure includes failed_fixture_ids', async () => {
|
||||
const path = tmpFixture(FAIL_PATTERN_MISMATCH);
|
||||
const origWrite = process.stdout.write.bind(process.stdout);
|
||||
const captured: string[] = [];
|
||||
process.stdout.write = ((chunk: string | Uint8Array) => {
|
||||
captured.push(typeof chunk === 'string' ? chunk : Buffer.from(chunk).toString());
|
||||
return true;
|
||||
}) as typeof process.stdout.write;
|
||||
try {
|
||||
const code = await runEvalConversationParser([path, '--no-llm', '--json']);
|
||||
expect(code).toBe(1);
|
||||
} finally {
|
||||
process.stdout.write = origWrite;
|
||||
}
|
||||
const json = JSON.parse(captured.join('').trim());
|
||||
expect(json.failed_fixture_ids).toContain('f1');
|
||||
});
|
||||
});
|
||||
|
||||
describe('runEvalConversationParser — adversarial fixture', () => {
|
||||
test('adversarial (pattern=null) with non-empty parse → fail', async () => {
|
||||
// Adversarial fixture whose body LOOKS like iMessage; parser will
|
||||
// match it; eval flags as adversarial false-positive.
|
||||
const advFp = `{"fixture_id":"adv-fp","pattern":null,"frontmatter":{"date":"2024-03-15"},"body":"**Alice** (2024-03-15 9:00 AM): I should not parse","expected_messages":0,"expected_participants":[]}`;
|
||||
const path = tmpFixture(advFp);
|
||||
const code = await runEvalConversationParser([path, '--no-llm']);
|
||||
expect(code).toBe(1);
|
||||
});
|
||||
|
||||
test('adversarial with truly unparseable body → pass', async () => {
|
||||
const advClean = `{"fixture_id":"adv-clean","pattern":null,"frontmatter":{"date":"2024-03-15"},"body":"This is just prose with no chat shape.","expected_messages":0,"expected_participants":[]}`;
|
||||
const path = tmpFixture(advClean);
|
||||
const code = await runEvalConversationParser([path, '--no-llm']);
|
||||
expect(code).toBe(0);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,5 @@
|
||||
{"fixture_id":"adversarial-recipe","pattern":null,"frontmatter":{"date":"2024-03-15"},"body":"Chocolate Chip Cookies\n\nIngredients:\n- 2 cups flour\n- 1 cup sugar\n- 1 cup chocolate chips\n\nInstructions:\nMix dry ingredients. Add wet. Bake at 375 for 12 minutes.","expected_messages":0,"expected_participants":[]}
|
||||
{"fixture_id":"adversarial-readme","pattern":null,"frontmatter":{"date":"2024-03-15"},"body":"# My Project\n\nA short description.\n\n## Install\n\n```\nnpm install my-project\n```\n\n## Usage\n\nImport the package and call the function.","expected_messages":0,"expected_participants":[]}
|
||||
{"fixture_id":"adversarial-code","pattern":null,"frontmatter":{"date":"2024-03-15"},"body":"function add(a, b) {\n return a + b;\n}\n\nconst result = add(1, 2);\nconsole.log(result);","expected_messages":0,"expected_participants":[]}
|
||||
{"fixture_id":"adversarial-lyrics","pattern":null,"frontmatter":{"date":"2024-03-15"},"body":"Twinkle twinkle little star\nHow I wonder what you are\nUp above the world so high\nLike a diamond in the sky","expected_messages":0,"expected_participants":[]}
|
||||
{"fixture_id":"adversarial-json","pattern":null,"frontmatter":{"date":"2024-03-15"},"body":"{\n \"key\": \"value\",\n \"num\": 42,\n \"list\": [1, 2, 3]\n}","expected_messages":0,"expected_participants":[]}
|
||||
+13
@@ -0,0 +1,13 @@
|
||||
{"fixture_id":"imessage-001","pattern":"imessage-slack","frontmatter":{"date":"2024-03-15"},"body":"**Alice Example** (2024-03-15 9:00 AM): morning\n**Bob Example** (2024-03-15 9:01 AM): hey there\n**Alice Example** (2024-03-15 9:02 AM): how are you\n**Bob Example** (2024-03-15 9:03 AM): good thanks\n**Alice Example** (2024-03-15 9:04 AM): you?","expected_messages":5,"expected_participants":["Alice Example","Bob Example"]}
|
||||
{"fixture_id":"imessage-002","pattern":"imessage-slack","frontmatter":{"date":"2024-03-15"},"body":"**Charlie Example** (2024-03-15 2:00 PM): afternoon\n**Charlie Example** (2024-03-15 2:01 PM): are you there?\n**Diana Example** (2024-03-15 2:05 PM): yes\n**Charlie Example** (2024-03-15 2:06 PM): great","expected_messages":4,"expected_participants":["Charlie Example","Diana Example"]}
|
||||
{"fixture_id":"telegram-bracket-001","pattern":"telegram-bracket","frontmatter":{"date":"2026-05-24","timezone":"America/Los_Angeles"},"body":"**[18:37] 👤 Alice Example:** hello world\n**[18:38] 👤 Bob Example:** hey\n**[18:39] 👤 Alice Example:** how are you\n**[18:40] 👤 Bob Example:** good","expected_messages":4,"expected_participants":["Alice Example","Bob Example"]}
|
||||
{"fixture_id":"telegram-bracket-002","pattern":"telegram-bracket","frontmatter":{"date":"2026-05-25","timezone":"America/Los_Angeles"},"body":"**[06:00] 🤖 Zion Bot:** On it.\n**[06:01] 👤 Charlie Example:** thanks\n**[06:02] 🤖 Zion Bot:** anything else?\n**[06:03] 👤 Charlie Example:** no good","expected_messages":4,"expected_participants":["Zion Bot","Charlie Example"]}
|
||||
{"fixture_id":"whatsapp-iso-001","pattern":"whatsapp-iso","frontmatter":{"date":"2024-03-15"},"body":"[15/03/24, 18:37:00] Alice Example: hello\n[15/03/24, 18:37:30] Bob Example: hey\n[15/03/24, 18:38:00] Alice Example: how are you\n[15/03/24, 18:39:00] Bob Example: good","expected_messages":4,"expected_participants":["Alice Example","Bob Example"]}
|
||||
{"fixture_id":"whatsapp-iso-002","pattern":"whatsapp-iso","frontmatter":{"date":"2024-01-01"},"body":"[01/01/24, 00:00:00] Charlie Example: happy new year\n[01/01/24, 00:00:30] Diana Example: same to you\n[01/01/24, 00:01:00] Charlie Example: any plans?\n[01/01/24, 00:02:00] Diana Example: sleep","expected_messages":4,"expected_participants":["Charlie Example","Diana Example"]}
|
||||
{"fixture_id":"whatsapp-us-001","pattern":"whatsapp-us","frontmatter":{"date":"2024-03-15"},"body":"3/15/24, 6:37 PM - Alice Example: hello\n3/15/24, 6:38 PM - Bob Example: hey\n3/15/24, 6:39 PM - Alice Example: how are you\n3/15/24, 6:40 PM - Bob Example: good","expected_messages":4,"expected_participants":["Alice Example","Bob Example"]}
|
||||
{"fixture_id":"whatsapp-us-002","pattern":"whatsapp-us","frontmatter":{"date":"2023-12-31"},"body":"12/31/23, 11:59 PM - Charlie Example: nye\n12/31/23, 11:59 PM - Diana Example: cheers","expected_messages":2,"expected_participants":["Charlie Example","Diana Example"]}
|
||||
{"fixture_id":"signal-export-001","pattern":"signal-export","frontmatter":{"date":"2024-03-15"},"body":"Alice Example (2024-03-15 18:37:00 UTC): hello\nBob Example (2024-03-15 18:37:30 UTC): hey there\nAlice Example (2024-03-15 18:38:00 UTC): how are you\nBob Example (2024-03-15 18:39:00 UTC): good","expected_messages":4,"expected_participants":["Alice Example","Bob Example"]}
|
||||
{"fixture_id":"irc-classic-001","pattern":"irc-classic","frontmatter":{"date":"2024-03-15"},"body":"<alice> hello world\n<bob> hey there\n<alice> how are you\n<bob> good thanks","expected_messages":4,"expected_participants":["alice","bob"]}
|
||||
{"fixture_id":"irc-weechat-001","pattern":"irc-weechat","frontmatter":{"date":"2024-03-15"},"body":"18:37 <alice> hello\n18:38 <bob> hey\n18:39 <alice> how are you\n18:40 <bob> good","expected_messages":4,"expected_participants":["alice","bob"]}
|
||||
{"fixture_id":"matrix-element-001","pattern":"matrix-element","frontmatter":{"date":"2024-03-15"},"body":"[18:37] @alice:matrix.org: hello world\n[18:38] @bob:example.org: hey\n[18:39] @alice:matrix.org: how are you\n[18:40] @bob:example.org: good","expected_messages":4,"expected_participants":["alice","bob"]}
|
||||
{"fixture_id":"teams-export-001","pattern":"teams-export","frontmatter":{"date":"2024-03-15"},"body":"Alice Example, 3/15/2024 6:37 PM: hello team\nBob Example, 3/15/2024 6:38 PM: hey\nAlice Example, 3/15/2024 6:39 PM: meeting at 4?\nBob Example, 3/15/2024 6:40 PM: works for me","expected_messages":4,"expected_participants":["Alice Example","Bob Example"]}
|
||||
@@ -0,0 +1,2 @@
|
||||
{"fixture_id":"imessage-001","pattern":"imessage-slack","frontmatter":{"date":"2024-03-15"},"body":"**Alice Example** (2024-03-15 9:00 AM): morning\n**Bob Example** (2024-03-15 9:01 AM): hey there\n**Alice Example** (2024-03-15 9:02 AM): how are you\n**Bob Example** (2024-03-15 9:03 AM): good thanks\n**Alice Example** (2024-03-15 9:04 AM): you?","expected_messages":5,"expected_participants":["Alice Example","Bob Example"]}
|
||||
{"fixture_id":"imessage-002","pattern":"imessage-slack","frontmatter":{"date":"2024-03-15"},"body":"**Charlie Example** (2024-03-15 2:00 PM): afternoon\n**Charlie Example** (2024-03-15 2:01 PM): are you there?\n**Diana Example** (2024-03-15 2:05 PM): yes\n**Charlie Example** (2024-03-15 2:06 PM): great","expected_messages":4,"expected_participants":["Charlie Example","Diana Example"]}
|
||||
@@ -0,0 +1 @@
|
||||
{"fixture_id":"irc-classic-001","pattern":"irc-classic","frontmatter":{"date":"2024-03-15"},"body":"<alice> hello world\n<bob> hey there\n<alice> how are you\n<bob> good thanks","expected_messages":4,"expected_participants":["alice","bob"]}
|
||||
@@ -0,0 +1 @@
|
||||
{"fixture_id":"irc-weechat-001","pattern":"irc-weechat","frontmatter":{"date":"2024-03-15"},"body":"18:37 <alice> hello\n18:38 <bob> hey\n18:39 <alice> how are you\n18:40 <bob> good","expected_messages":4,"expected_participants":["alice","bob"]}
|
||||
@@ -0,0 +1 @@
|
||||
{"fixture_id":"matrix-element-001","pattern":"matrix-element","frontmatter":{"date":"2024-03-15"},"body":"[18:37] @alice:matrix.org: hello world\n[18:38] @bob:example.org: hey\n[18:39] @alice:matrix.org: how are you\n[18:40] @bob:example.org: good","expected_messages":4,"expected_participants":["alice","bob"]}
|
||||
@@ -0,0 +1 @@
|
||||
{"fixture_id":"signal-export-001","pattern":"signal-export","frontmatter":{"date":"2024-03-15"},"body":"Alice Example (2024-03-15 18:37:00 UTC): hello\nBob Example (2024-03-15 18:37:30 UTC): hey there\nAlice Example (2024-03-15 18:38:00 UTC): how are you\nBob Example (2024-03-15 18:39:00 UTC): good","expected_messages":4,"expected_participants":["Alice Example","Bob Example"]}
|
||||
@@ -0,0 +1 @@
|
||||
{"fixture_id":"teams-export-001","pattern":"teams-export","frontmatter":{"date":"2024-03-15"},"body":"Alice Example, 3/15/2024 6:37 PM: hello team\nBob Example, 3/15/2024 6:38 PM: hey\nAlice Example, 3/15/2024 6:39 PM: meeting at 4?\nBob Example, 3/15/2024 6:40 PM: works for me","expected_messages":4,"expected_participants":["Alice Example","Bob Example"]}
|
||||
@@ -0,0 +1,2 @@
|
||||
{"fixture_id":"telegram-bracket-001","pattern":"telegram-bracket","frontmatter":{"date":"2026-05-24","timezone":"America/Los_Angeles"},"body":"**[18:37] 👤 Alice Example:** hello world\n**[18:38] 👤 Bob Example:** hey\n**[18:39] 👤 Alice Example:** how are you\n**[18:40] 👤 Bob Example:** good","expected_messages":4,"expected_participants":["Alice Example","Bob Example"]}
|
||||
{"fixture_id":"telegram-bracket-002","pattern":"telegram-bracket","frontmatter":{"date":"2026-05-25","timezone":"America/Los_Angeles"},"body":"**[06:00] 🤖 Zion Bot:** On it.\n**[06:01] 👤 Charlie Example:** thanks\n**[06:02] 🤖 Zion Bot:** anything else?\n**[06:03] 👤 Charlie Example:** no good","expected_messages":4,"expected_participants":["Zion Bot","Charlie Example"]}
|
||||
@@ -0,0 +1,2 @@
|
||||
{"fixture_id":"whatsapp-iso-001","pattern":"whatsapp-iso","frontmatter":{"date":"2024-03-15"},"body":"[15/03/24, 18:37:00] Alice Example: hello\n[15/03/24, 18:37:30] Bob Example: hey\n[15/03/24, 18:38:00] Alice Example: how are you\n[15/03/24, 18:39:00] Bob Example: good","expected_messages":4,"expected_participants":["Alice Example","Bob Example"]}
|
||||
{"fixture_id":"whatsapp-iso-002","pattern":"whatsapp-iso","frontmatter":{"date":"2024-01-01"},"body":"[01/01/24, 00:00:00] Charlie Example: happy new year\n[01/01/24, 00:00:30] Diana Example: same to you\n[01/01/24, 00:01:00] Charlie Example: any plans?\n[01/01/24, 00:02:00] Diana Example: sleep","expected_messages":4,"expected_participants":["Charlie Example","Diana Example"]}
|
||||
@@ -0,0 +1,2 @@
|
||||
{"fixture_id":"whatsapp-us-001","pattern":"whatsapp-us","frontmatter":{"date":"2024-03-15"},"body":"3/15/24, 6:37 PM - Alice Example: hello\n3/15/24, 6:38 PM - Bob Example: hey\n3/15/24, 6:39 PM - Alice Example: how are you\n3/15/24, 6:40 PM - Bob Example: good","expected_messages":4,"expected_participants":["Alice Example","Bob Example"]}
|
||||
{"fixture_id":"whatsapp-us-002","pattern":"whatsapp-us","frontmatter":{"date":"2023-12-31"},"body":"12/31/23, 11:59 PM - Charlie Example: nye\n12/31/23, 11:59 PM - Diana Example: cheers","expected_messages":2,"expected_participants":["Charlie Example","Diana Example"]}
|
||||
@@ -0,0 +1,159 @@
|
||||
/**
|
||||
* v0.41.16.0 — Migration v99 round-trip test.
|
||||
*
|
||||
* Verifies the `conversation_parser_llm_cache` table:
|
||||
* - is created on schema init
|
||||
* - accepts inserts on (content_sha256, model_id, call_shape, value_json)
|
||||
* - rejects invalid call_shape via CHECK constraint
|
||||
* - ON CONFLICT DO NOTHING semantics (the llm-base.ts caller's contract)
|
||||
* - JSONB column round-trips a real object (no double-encode regression)
|
||||
* - composite primary key prevents duplicate (sha, model, shape)
|
||||
*
|
||||
* Hermetic via the canonical PGLite block from CLAUDE.md test-isolation
|
||||
* rules.
|
||||
*/
|
||||
|
||||
import { describe, expect, test, beforeAll, afterAll, beforeEach } from 'bun:test';
|
||||
import { PGLiteEngine } from '../src/core/pglite-engine.ts';
|
||||
import { resetPgliteState } from './helpers/reset-pglite.ts';
|
||||
|
||||
let engine: PGLiteEngine;
|
||||
|
||||
beforeAll(async () => {
|
||||
engine = new PGLiteEngine();
|
||||
await engine.connect({});
|
||||
await engine.initSchema();
|
||||
});
|
||||
|
||||
afterAll(async () => {
|
||||
await engine.disconnect();
|
||||
});
|
||||
|
||||
beforeEach(async () => {
|
||||
await resetPgliteState(engine);
|
||||
});
|
||||
|
||||
describe('migration v99 — conversation_parser_llm_cache', () => {
|
||||
test('table exists after schema init', async () => {
|
||||
const rows = await engine.executeRaw<{ table_name: string }>(
|
||||
`SELECT table_name FROM information_schema.tables
|
||||
WHERE table_schema = 'public' AND table_name = 'conversation_parser_llm_cache'`,
|
||||
);
|
||||
expect(rows.length).toBe(1);
|
||||
});
|
||||
|
||||
test('insert + select round-trip with polish call_shape', async () => {
|
||||
await engine.executeRaw(
|
||||
`INSERT INTO conversation_parser_llm_cache
|
||||
(content_sha256, model_id, call_shape, value_json)
|
||||
VALUES ($1, $2, $3, $4::jsonb)`,
|
||||
[
|
||||
'abc123',
|
||||
'anthropic:claude-haiku-4-5',
|
||||
'polish',
|
||||
JSON.stringify({ merge_indices: [], drop_indices: [], edits: [] }),
|
||||
],
|
||||
);
|
||||
const rows = await engine.executeRaw<{ value_json: unknown }>(
|
||||
`SELECT value_json FROM conversation_parser_llm_cache
|
||||
WHERE content_sha256 = $1 AND model_id = $2 AND call_shape = $3`,
|
||||
['abc123', 'anthropic:claude-haiku-4-5', 'polish'],
|
||||
);
|
||||
expect(rows).toHaveLength(1);
|
||||
// value_json should round-trip as a parsed object (not a JSON string).
|
||||
const val =
|
||||
typeof rows[0].value_json === 'string'
|
||||
? JSON.parse(rows[0].value_json)
|
||||
: rows[0].value_json;
|
||||
expect(val).toEqual({ merge_indices: [], drop_indices: [], edits: [] });
|
||||
});
|
||||
|
||||
test('insert + select round-trip with fallback call_shape', async () => {
|
||||
await engine.executeRaw(
|
||||
`INSERT INTO conversation_parser_llm_cache
|
||||
(content_sha256, model_id, call_shape, value_json)
|
||||
VALUES ($1, $2, $3, $4::jsonb)`,
|
||||
[
|
||||
'def456',
|
||||
'anthropic:claude-haiku-4-5',
|
||||
'fallback',
|
||||
JSON.stringify([
|
||||
{ speaker: 'Alice', timestamp: '2024-03-15T18:37:00Z', text: 'hi' },
|
||||
]),
|
||||
],
|
||||
);
|
||||
const rows = await engine.executeRaw<{ value_json: unknown }>(
|
||||
`SELECT value_json FROM conversation_parser_llm_cache
|
||||
WHERE content_sha256 = $1 AND call_shape = $2`,
|
||||
['def456', 'fallback'],
|
||||
);
|
||||
expect(rows).toHaveLength(1);
|
||||
const val =
|
||||
typeof rows[0].value_json === 'string'
|
||||
? JSON.parse(rows[0].value_json)
|
||||
: rows[0].value_json;
|
||||
expect(Array.isArray(val)).toBe(true);
|
||||
expect(val).toHaveLength(1);
|
||||
});
|
||||
|
||||
test('CHECK constraint rejects invalid call_shape', async () => {
|
||||
let threw = false;
|
||||
try {
|
||||
await engine.executeRaw(
|
||||
`INSERT INTO conversation_parser_llm_cache
|
||||
(content_sha256, model_id, call_shape, value_json)
|
||||
VALUES ($1, $2, $3, $4::jsonb)`,
|
||||
['ghi789', 'anthropic:claude-haiku-4-5', 'INVALID_SHAPE', '{}'],
|
||||
);
|
||||
} catch {
|
||||
threw = true;
|
||||
}
|
||||
expect(threw).toBe(true);
|
||||
});
|
||||
|
||||
test('composite primary key prevents duplicate (sha, model, shape)', async () => {
|
||||
await engine.executeRaw(
|
||||
`INSERT INTO conversation_parser_llm_cache
|
||||
(content_sha256, model_id, call_shape, value_json)
|
||||
VALUES ($1, $2, $3, $4::jsonb)`,
|
||||
['dup1', 'anthropic:claude-haiku-4-5', 'polish', '{}'],
|
||||
);
|
||||
// ON CONFLICT DO NOTHING from llm-base.ts writeDbCache — should not throw.
|
||||
await engine.executeRaw(
|
||||
`INSERT INTO conversation_parser_llm_cache
|
||||
(content_sha256, model_id, call_shape, value_json)
|
||||
VALUES ($1, $2, $3, $4::jsonb)
|
||||
ON CONFLICT (content_sha256, model_id, call_shape) DO NOTHING`,
|
||||
['dup1', 'anthropic:claude-haiku-4-5', 'polish', '{"different":true}'],
|
||||
);
|
||||
// First write wins on conflict.
|
||||
const rows = await engine.executeRaw<{ value_json: unknown }>(
|
||||
`SELECT value_json FROM conversation_parser_llm_cache WHERE content_sha256 = 'dup1'`,
|
||||
);
|
||||
expect(rows).toHaveLength(1);
|
||||
});
|
||||
|
||||
test('different call_shape on same (sha, model) coexists', async () => {
|
||||
await engine.executeRaw(
|
||||
`INSERT INTO conversation_parser_llm_cache
|
||||
(content_sha256, model_id, call_shape, value_json)
|
||||
VALUES ($1, $2, 'polish', $3::jsonb), ($1, $2, 'fallback', $3::jsonb)`,
|
||||
['co1', 'anthropic:claude-haiku-4-5', '{}'],
|
||||
);
|
||||
const rows = await engine.executeRaw<{ call_shape: string }>(
|
||||
`SELECT call_shape FROM conversation_parser_llm_cache WHERE content_sha256 = 'co1'`,
|
||||
);
|
||||
expect(rows).toHaveLength(2);
|
||||
const shapes = rows.map((r) => r.call_shape).sort();
|
||||
expect(shapes).toEqual(['fallback', 'polish']);
|
||||
});
|
||||
|
||||
test('created_at index supports time-based pruning queries', async () => {
|
||||
const rows = await engine.executeRaw<{ indexname: string }>(
|
||||
`SELECT indexname FROM pg_indexes
|
||||
WHERE tablename = 'conversation_parser_llm_cache'
|
||||
AND indexname = 'idx_conversation_parser_llm_cache_created'`,
|
||||
);
|
||||
expect(rows.length).toBe(1);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,625 @@
|
||||
/**
|
||||
* v0.41.16.0 — Progressive-batch primitive unit tests.
|
||||
*
|
||||
* Pins every verdict branch of runProgressiveBatch (D3 fail-closed
|
||||
* budget, D20 discriminated verifier shapes, D21 honest jump-to-full,
|
||||
* stage-slicing, ramp-stage interactive abort, cost projection).
|
||||
*
|
||||
* Hermetic: no PGLite, no Postgres, no real LLM. Every BudgetTracker
|
||||
* is constructed inline; the AsyncLocalStorage scope is set via
|
||||
* `withBudgetTracker` from gateway.ts. Audit JSONL writes go to
|
||||
* `GBRAIN_AUDIT_DIR=<tempdir>` to isolate from the user's real audit
|
||||
* dir. We use `withEnv` from test/helpers/with-env.ts per CLAUDE.md
|
||||
* R1 (test-isolation lint).
|
||||
*/
|
||||
|
||||
import { describe, expect, test } from 'bun:test';
|
||||
import { mkdtempSync } from 'node:fs';
|
||||
import { tmpdir } from 'node:os';
|
||||
import { join } from 'node:path';
|
||||
import { withEnv } from '../helpers/with-env.ts';
|
||||
import {
|
||||
parseEnvStages,
|
||||
resolveStages,
|
||||
resolveCostCap,
|
||||
sliceIntoStages,
|
||||
awaitInteractiveAbort,
|
||||
runProgressiveBatch,
|
||||
} from '../../src/core/progressive-batch/orchestrator.ts';
|
||||
import { BudgetTracker } from '../../src/core/budget/budget-tracker.ts';
|
||||
import { withBudgetTracker } from '../../src/core/ai/gateway.ts';
|
||||
import type {
|
||||
Policy,
|
||||
StageReport,
|
||||
Verifier,
|
||||
} from '../../src/core/progressive-batch/types.ts';
|
||||
|
||||
// Helper: build a NoopVerifier with optional sampleQuality.
|
||||
function makeNoopVerifier(
|
||||
costPerItem = 0.001,
|
||||
sampleQuality?: () => Promise<{ ok: boolean; reasons?: string[] }>,
|
||||
): Verifier {
|
||||
return {
|
||||
kind: 'noop',
|
||||
costPerItem: () => costPerItem,
|
||||
sampleQuality,
|
||||
};
|
||||
}
|
||||
|
||||
// Helper: build an OutputCountVerifier backed by an in-memory counter.
|
||||
function makeOutputCountVerifier(opts: {
|
||||
initial?: number;
|
||||
perItemRows?: number;
|
||||
qualityOk?: boolean;
|
||||
qualityReasons?: string[];
|
||||
costPerItem?: number;
|
||||
}): { verifier: Verifier; bump: (n: number) => void } {
|
||||
let count = opts.initial ?? 0;
|
||||
const perItem = opts.perItemRows ?? 1;
|
||||
return {
|
||||
verifier: {
|
||||
kind: 'output_count',
|
||||
countBefore: async () => count,
|
||||
countAfter: async () => count,
|
||||
expectedDelta: (processed: number) => processed * perItem,
|
||||
sampleQuality: async () => ({
|
||||
ok: opts.qualityOk ?? true,
|
||||
reasons: opts.qualityReasons,
|
||||
}),
|
||||
costPerItem: () => opts.costPerItem ?? 0.001,
|
||||
},
|
||||
bump: (n: number) => {
|
||||
count += n;
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
// Helper: build an IdempotentMutationVerifier backed by an in-memory counter.
|
||||
function makeIdempotentVerifier(opts: {
|
||||
qualityOk?: boolean;
|
||||
qualityReasons?: string[];
|
||||
mutationsPerItem?: number;
|
||||
costPerItem?: number;
|
||||
}): { verifier: Verifier; bump: (n: number) => void; resetForStage: () => void } {
|
||||
let mutations = 0;
|
||||
const perItem = opts.mutationsPerItem ?? 1;
|
||||
return {
|
||||
verifier: {
|
||||
kind: 'idempotent_mutation',
|
||||
mutatedCount: async () => mutations,
|
||||
expectedMutations: (processed: number) => processed * perItem,
|
||||
sampleQuality: async () => ({
|
||||
ok: opts.qualityOk ?? true,
|
||||
reasons: opts.qualityReasons,
|
||||
}),
|
||||
costPerItem: () => opts.costPerItem ?? 0.001,
|
||||
},
|
||||
bump: (n: number) => {
|
||||
mutations += n;
|
||||
},
|
||||
resetForStage: () => {
|
||||
mutations = 0;
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
// Helper: collect stage reports the orchestrator emits.
|
||||
function collectReports(): {
|
||||
onStageReport: (r: StageReport) => void;
|
||||
reports: StageReport[];
|
||||
} {
|
||||
const reports: StageReport[] = [];
|
||||
return {
|
||||
onStageReport: (r) => {
|
||||
reports.push(r);
|
||||
},
|
||||
reports,
|
||||
};
|
||||
}
|
||||
|
||||
// Use a per-test tempdir for audit writes via GBRAIN_AUDIT_DIR.
|
||||
function makeAuditEnv(): Record<string, string> {
|
||||
return {
|
||||
GBRAIN_AUDIT_DIR: mkdtempSync(join(tmpdir(), 'pb-audit-')),
|
||||
GBRAIN_PROGRESSIVE_BATCH_AUTO: '1',
|
||||
GBRAIN_PROGRESSIVE_BATCH_DISABLED: undefined as unknown as string,
|
||||
GBRAIN_PROGRESSIVE_BATCH_STAGES: undefined as unknown as string,
|
||||
};
|
||||
}
|
||||
|
||||
describe('parseEnvStages', () => {
|
||||
test('null on unset', () => {
|
||||
expect(parseEnvStages(undefined)).toBeNull();
|
||||
});
|
||||
test('null on empty/whitespace', () => {
|
||||
expect(parseEnvStages('')).toBeNull();
|
||||
expect(parseEnvStages(' ')).toBeNull();
|
||||
});
|
||||
test('parses canonical', () => {
|
||||
expect(parseEnvStages('10,100,500')).toEqual([10, 100, 500]);
|
||||
});
|
||||
test('rejects non-int', () => {
|
||||
expect(parseEnvStages('10,foo,500')).toBeNull();
|
||||
});
|
||||
test('rejects zero/negative', () => {
|
||||
expect(parseEnvStages('0,100,500')).toBeNull();
|
||||
expect(parseEnvStages('-1,100,500')).toBeNull();
|
||||
});
|
||||
test('trims whitespace per entry', () => {
|
||||
expect(parseEnvStages(' 10 , 100 , 500 ')).toEqual([10, 100, 500]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('resolveStages', () => {
|
||||
test('env override wins', async () => {
|
||||
await withEnv({ GBRAIN_PROGRESSIVE_BATCH_STAGES: '5,50,500' }, async () => {
|
||||
expect(resolveStages({ label: 't', stages: [10, 100, 500] })).toEqual([
|
||||
5, 50, 500,
|
||||
]);
|
||||
});
|
||||
});
|
||||
test('policy when env unset', async () => {
|
||||
await withEnv({ GBRAIN_PROGRESSIVE_BATCH_STAGES: undefined as unknown as string }, async () => {
|
||||
expect(resolveStages({ label: 't', stages: [7, 70, 700] })).toEqual([
|
||||
7, 70, 700,
|
||||
]);
|
||||
});
|
||||
});
|
||||
test('default when both unset', async () => {
|
||||
await withEnv({ GBRAIN_PROGRESSIVE_BATCH_STAGES: undefined as unknown as string }, async () => {
|
||||
expect(resolveStages({ label: 't' })).toEqual([10, 100, 500]);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('resolveCostCap (D3 fail-closed)', () => {
|
||||
test('opt-out + maxCostUsd returns policy cap', () => {
|
||||
expect(
|
||||
resolveCostCap(
|
||||
{ label: 't', requireBudgetSafetyNet: false, maxCostUsd: 1 },
|
||||
null,
|
||||
),
|
||||
).toEqual({ capUsd: 1, source: 'policy' });
|
||||
});
|
||||
test('opt-out + no cap returns Infinity', () => {
|
||||
expect(
|
||||
resolveCostCap({ label: 't', requireBudgetSafetyNet: false }, null),
|
||||
).toEqual({ capUsd: Infinity, source: 'uncapped' });
|
||||
});
|
||||
test('no tracker + no policy cap = NULL (fail-closed)', () => {
|
||||
expect(resolveCostCap({ label: 't' }, null)).toBeNull();
|
||||
});
|
||||
test('policy cap + no tracker returns policy', () => {
|
||||
expect(resolveCostCap({ label: 't', maxCostUsd: 2 }, null)).toEqual({
|
||||
capUsd: 2,
|
||||
source: 'policy',
|
||||
});
|
||||
});
|
||||
test('tracker + no policy cap returns tracker headroom', () => {
|
||||
const t = new BudgetTracker({ label: 'test', maxCostUsd: 5 });
|
||||
const r = resolveCostCap({ label: 't' }, t);
|
||||
expect(r?.capUsd).toBeCloseTo(5);
|
||||
expect(r?.source).toBe('tracker');
|
||||
});
|
||||
test('both set: lower wins', () => {
|
||||
const t = new BudgetTracker({ label: 'test', maxCostUsd: 10 });
|
||||
// policy is tighter
|
||||
const r1 = resolveCostCap({ label: 't', maxCostUsd: 3 }, t);
|
||||
expect(r1?.capUsd).toBe(3);
|
||||
expect(r1?.source).toBe('policy');
|
||||
// tracker is tighter
|
||||
const r2 = resolveCostCap({ label: 't', maxCostUsd: 100 }, t);
|
||||
expect(r2?.capUsd).toBeCloseTo(10);
|
||||
expect(r2?.source).toBe('min');
|
||||
});
|
||||
});
|
||||
|
||||
describe('sliceIntoStages', () => {
|
||||
test('1000 items / canonical stages', () => {
|
||||
const items = Array.from({ length: 1000 }, (_, i) => i);
|
||||
const s = sliceIntoStages(items, [10, 100, 500]);
|
||||
expect(s.trial.length).toBe(10);
|
||||
expect(s.ramp_100.length).toBe(100);
|
||||
expect(s.ramp_500.length).toBe(500);
|
||||
expect(s.full.length).toBe(390);
|
||||
// Disjoint + ordered
|
||||
expect(s.trial[0]).toBe(0);
|
||||
expect(s.ramp_100[0]).toBe(10);
|
||||
expect(s.ramp_500[0]).toBe(110);
|
||||
expect(s.full[0]).toBe(610);
|
||||
});
|
||||
test('50 items: ramp_100 takes remaining; 500 + full empty', () => {
|
||||
const items = Array.from({ length: 50 }, (_, i) => i);
|
||||
const s = sliceIntoStages(items, [10, 100, 500]);
|
||||
expect(s.trial.length).toBe(10);
|
||||
expect(s.ramp_100.length).toBe(40);
|
||||
expect(s.ramp_500.length).toBe(0);
|
||||
expect(s.full.length).toBe(0);
|
||||
});
|
||||
test('5 items: only trial', () => {
|
||||
const items = Array.from({ length: 5 }, (_, i) => i);
|
||||
const s = sliceIntoStages(items, [10, 100, 500]);
|
||||
expect(s.trial.length).toBe(5);
|
||||
expect(s.ramp_100.length).toBe(0);
|
||||
expect(s.ramp_500.length).toBe(0);
|
||||
expect(s.full.length).toBe(0);
|
||||
});
|
||||
test('disabled (stages=[]) dumps everything to full', () => {
|
||||
const items = Array.from({ length: 100 }, (_, i) => i);
|
||||
const s = sliceIntoStages(items, []);
|
||||
expect(s.trial.length).toBe(0);
|
||||
expect(s.ramp_100.length).toBe(0);
|
||||
expect(s.ramp_500.length).toBe(0);
|
||||
expect(s.full.length).toBe(100);
|
||||
});
|
||||
});
|
||||
|
||||
describe('awaitInteractiveAbort', () => {
|
||||
test('ms=0 resolves false immediately', async () => {
|
||||
expect(await awaitInteractiveAbort(0)).toBe(false);
|
||||
});
|
||||
test('positive ms resolves false after timeout', async () => {
|
||||
const start = Date.now();
|
||||
const r = await awaitInteractiveAbort(50);
|
||||
expect(r).toBe(false);
|
||||
expect(Date.now() - start).toBeGreaterThanOrEqual(40);
|
||||
});
|
||||
});
|
||||
|
||||
describe('runProgressiveBatch — D3 fail-closed safety net', () => {
|
||||
test('NO tracker + NO Policy.maxCostUsd → abort_cost_cap reason=no_budget_safety_net', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const { onStageReport, reports } = collectReports();
|
||||
const result = await runProgressiveBatch(
|
||||
[1, 2, 3],
|
||||
makeNoopVerifier(),
|
||||
{ label: 'd3-test', onStageReport },
|
||||
async (slice) => ({ succeeded: slice.length, failed: 0, costUsd: 0 }),
|
||||
);
|
||||
expect(result.abortedAt?.verdict).toBe('abort_cost_cap');
|
||||
expect(result.abortedAt?.reason).toBe('no_budget_safety_net');
|
||||
expect(result.itemsProcessed).toBe(0);
|
||||
expect(reports.length).toBe(1);
|
||||
expect(reports[0].verdict).toBe('abort_cost_cap');
|
||||
expect(reports[0].abortReason).toBe('no_budget_safety_net');
|
||||
});
|
||||
});
|
||||
test('Policy.requireBudgetSafetyNet=false bypasses the gate (Infinity cap)', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const { onStageReport, reports } = collectReports();
|
||||
const result = await runProgressiveBatch(
|
||||
[1, 2, 3],
|
||||
makeNoopVerifier(),
|
||||
{
|
||||
label: 'optout',
|
||||
onStageReport,
|
||||
requireBudgetSafetyNet: false,
|
||||
},
|
||||
async (slice) => ({ succeeded: slice.length, failed: 0, costUsd: 0 }),
|
||||
);
|
||||
expect(result.abortedAt).toBeUndefined();
|
||||
expect(result.itemsProcessed).toBe(3);
|
||||
// 3 items < trial(10) → only trial runs (the rest are empty
|
||||
// stages with no audit row).
|
||||
expect(reports.length).toBe(1);
|
||||
expect(reports[0].verdict).toBe('proceed');
|
||||
});
|
||||
});
|
||||
test('Tracker present + no Policy.maxCostUsd → tracker headroom wins', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const t = new BudgetTracker({ label: 'unit', maxCostUsd: 10 });
|
||||
await withBudgetTracker(t, async () => {
|
||||
const { onStageReport } = collectReports();
|
||||
const result = await runProgressiveBatch(
|
||||
[1, 2, 3],
|
||||
makeNoopVerifier(0.001),
|
||||
{ label: 'tracker-test', onStageReport },
|
||||
async (slice) => ({
|
||||
succeeded: slice.length,
|
||||
failed: 0,
|
||||
costUsd: 0.003,
|
||||
}),
|
||||
);
|
||||
expect(result.abortedAt).toBeUndefined();
|
||||
expect(result.itemsProcessed).toBe(3);
|
||||
});
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('runProgressiveBatch — verifier shapes (D20)', () => {
|
||||
test('OutputCountVerifier: matched delta proceeds', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const { verifier, bump } = makeOutputCountVerifier({ perItemRows: 1 });
|
||||
const result = await runProgressiveBatch(
|
||||
Array.from({ length: 5 }, (_, i) => i),
|
||||
verifier,
|
||||
{ label: 'oc', maxCostUsd: 1 },
|
||||
async (slice) => {
|
||||
bump(slice.length);
|
||||
return { succeeded: slice.length, failed: 0, costUsd: 0 };
|
||||
},
|
||||
);
|
||||
expect(result.abortedAt).toBeUndefined();
|
||||
expect(result.itemsProcessed).toBe(5);
|
||||
});
|
||||
});
|
||||
test('OutputCountVerifier: zero delta → abort_count_mismatch', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const { verifier } = makeOutputCountVerifier({ perItemRows: 1 });
|
||||
const result = await runProgressiveBatch(
|
||||
Array.from({ length: 10 }, (_, i) => i),
|
||||
verifier,
|
||||
{ label: 'oc-mismatch', maxCostUsd: 1 },
|
||||
async (slice) => ({
|
||||
// Runner reports success but verifier sees no new rows.
|
||||
succeeded: slice.length,
|
||||
failed: 0,
|
||||
costUsd: 0,
|
||||
}),
|
||||
);
|
||||
expect(result.abortedAt?.verdict).toBe('abort_count_mismatch');
|
||||
expect(result.abortedAt?.reason).toBe('count_delta_outside_band');
|
||||
});
|
||||
});
|
||||
test('IdempotentMutationVerifier: matched mutation count proceeds', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const { verifier, bump } = makeIdempotentVerifier({});
|
||||
const result = await runProgressiveBatch(
|
||||
Array.from({ length: 5 }, (_, i) => i),
|
||||
verifier,
|
||||
{ label: 'im', maxCostUsd: 1 },
|
||||
async (slice) => {
|
||||
bump(slice.length);
|
||||
return { succeeded: slice.length, failed: 0, costUsd: 0 };
|
||||
},
|
||||
);
|
||||
expect(result.abortedAt).toBeUndefined();
|
||||
});
|
||||
});
|
||||
test('NoopVerifier: only cost + error rate gating', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const result = await runProgressiveBatch(
|
||||
Array.from({ length: 5 }, (_, i) => i),
|
||||
makeNoopVerifier(),
|
||||
{ label: 'np', maxCostUsd: 1 },
|
||||
async (slice) => ({ succeeded: slice.length, failed: 0, costUsd: 0 }),
|
||||
);
|
||||
expect(result.abortedAt).toBeUndefined();
|
||||
expect(result.itemsProcessed).toBe(5);
|
||||
});
|
||||
});
|
||||
test('NoopVerifier with sampleQuality returning not-ok → abort_data_quality', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const result = await runProgressiveBatch(
|
||||
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
|
||||
makeNoopVerifier(0.001, async () => ({
|
||||
ok: false,
|
||||
reasons: ['bad row 7'],
|
||||
})),
|
||||
{ label: 'np-bad-quality', maxCostUsd: 1 },
|
||||
async (slice) => ({ succeeded: slice.length, failed: 0, costUsd: 0 }),
|
||||
);
|
||||
expect(result.abortedAt?.verdict).toBe('abort_data_quality');
|
||||
expect(result.abortedAt?.reason).toBe('data_quality_sample_failed');
|
||||
const trial = result.stageReports[0];
|
||||
expect(trial.qualityReasons).toEqual(['bad row 7']);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('runProgressiveBatch — error rate + cost cap gates', () => {
|
||||
test('error rate > maxErrorRate → abort_error_rate', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const result = await runProgressiveBatch(
|
||||
Array.from({ length: 10 }, (_, i) => i),
|
||||
makeNoopVerifier(),
|
||||
{ label: 'er', maxCostUsd: 1, maxErrorRate: 0.1 },
|
||||
async (slice) => ({
|
||||
// 50% fail rate, well over the 10% threshold.
|
||||
succeeded: Math.floor(slice.length / 2),
|
||||
failed: Math.ceil(slice.length / 2),
|
||||
costUsd: 0,
|
||||
}),
|
||||
);
|
||||
expect(result.abortedAt?.verdict).toBe('abort_error_rate');
|
||||
expect(result.abortedAt?.reason).toBe('error_rate_exceeded');
|
||||
});
|
||||
});
|
||||
test('cost projection > cap → abort_cost_cap', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const result = await runProgressiveBatch(
|
||||
Array.from({ length: 1000 }, (_, i) => i),
|
||||
makeNoopVerifier(),
|
||||
{ label: 'cc', maxCostUsd: 0.5 },
|
||||
async (slice) => ({
|
||||
// $0.01/item → 10 items = $0.10 in trial, projected
|
||||
// 1000-item run = $10.00 ≫ $0.50 cap.
|
||||
succeeded: slice.length,
|
||||
failed: 0,
|
||||
costUsd: slice.length * 0.01,
|
||||
}),
|
||||
);
|
||||
expect(result.abortedAt?.verdict).toBe('abort_cost_cap');
|
||||
expect(result.abortedAt?.reason).toBe('cost_projected_over_cap');
|
||||
// Trial stage should have processed 10; cumulative cost should be 0.10.
|
||||
expect(result.itemsProcessed).toBe(10);
|
||||
expect(result.totalCostUsd).toBeCloseTo(0.1);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('runProgressiveBatch — D21 honest behavior preservation', () => {
|
||||
test('GBRAIN_PROGRESSIVE_BATCH_DISABLED=1 skips ramp; goes to full', async () => {
|
||||
await withEnv(
|
||||
{
|
||||
...makeAuditEnv(),
|
||||
GBRAIN_PROGRESSIVE_BATCH_DISABLED: '1',
|
||||
},
|
||||
async () => {
|
||||
const { onStageReport, reports } = collectReports();
|
||||
const result = await runProgressiveBatch(
|
||||
Array.from({ length: 100 }, (_, i) => i),
|
||||
makeNoopVerifier(),
|
||||
{ label: 'disabled', maxCostUsd: 1, onStageReport },
|
||||
async (slice) => ({
|
||||
succeeded: slice.length,
|
||||
failed: 0,
|
||||
costUsd: 0,
|
||||
}),
|
||||
);
|
||||
expect(result.abortedAt).toBeUndefined();
|
||||
expect(result.itemsProcessed).toBe(100);
|
||||
// Only the 'full' stage report should be emitted.
|
||||
expect(reports.length).toBe(1);
|
||||
expect(reports[0].stage).toBe('full');
|
||||
expect(reports[0].itemsInStage).toBe(100);
|
||||
},
|
||||
);
|
||||
});
|
||||
test('interactiveAbortMs=0 → no Ctrl-C wait between stages', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const start = Date.now();
|
||||
const result = await runProgressiveBatch(
|
||||
Array.from({ length: 120 }, (_, i) => i),
|
||||
makeNoopVerifier(),
|
||||
{ label: 'noramp', maxCostUsd: 1, interactiveAbortMs: 0 },
|
||||
async (slice) => ({ succeeded: slice.length, failed: 0, costUsd: 0 }),
|
||||
);
|
||||
expect(result.abortedAt).toBeUndefined();
|
||||
// Should run quickly without any 10s waits between stages.
|
||||
expect(Date.now() - start).toBeLessThan(500);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('runProgressiveBatch — onStageReport caller abort', () => {
|
||||
test('caller returns {abort:true} after trial → abort_explicit', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
let calls = 0;
|
||||
const result = await runProgressiveBatch(
|
||||
Array.from({ length: 100 }, (_, i) => i),
|
||||
makeNoopVerifier(),
|
||||
{
|
||||
label: 'explicit-abort',
|
||||
maxCostUsd: 1,
|
||||
onStageReport: (r) => {
|
||||
calls++;
|
||||
if (r.stage === 'trial') return { abort: true };
|
||||
return undefined;
|
||||
},
|
||||
},
|
||||
async (slice) => ({ succeeded: slice.length, failed: 0, costUsd: 0 }),
|
||||
);
|
||||
expect(result.abortedAt?.verdict).toBe('abort_explicit');
|
||||
expect(result.abortedAt?.reason).toBe('caller_signaled_abort');
|
||||
// Trial completed but caller signaled abort.
|
||||
expect(result.itemsProcessed).toBe(10);
|
||||
expect(calls).toBe(1);
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('runProgressiveBatch — multi-stage success path', () => {
|
||||
test('1000 items: trial(10) → ramp_100 → ramp_500 → full(380); all stages reported', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const { onStageReport, reports } = collectReports();
|
||||
const result = await runProgressiveBatch(
|
||||
Array.from({ length: 1000 }, (_, i) => i),
|
||||
makeNoopVerifier(),
|
||||
{ label: 'multi', maxCostUsd: 100, onStageReport },
|
||||
async (slice) => ({ succeeded: slice.length, failed: 0, costUsd: 0 }),
|
||||
);
|
||||
expect(result.abortedAt).toBeUndefined();
|
||||
expect(result.itemsProcessed).toBe(1000);
|
||||
expect(result.stagesCompleted).toEqual(['trial', 'ramp_100', 'ramp_500', 'full']);
|
||||
// Four stage reports (one per stage; the full stage processes 380).
|
||||
expect(reports).toHaveLength(4);
|
||||
expect(reports[0].stage).toBe('trial');
|
||||
expect(reports[0].itemsInStage).toBe(10);
|
||||
expect(reports[1].stage).toBe('ramp_100');
|
||||
expect(reports[1].itemsInStage).toBe(100);
|
||||
expect(reports[2].stage).toBe('ramp_500');
|
||||
expect(reports[2].itemsInStage).toBe(500);
|
||||
expect(reports[3].stage).toBe('full');
|
||||
expect(reports[3].itemsInStage).toBe(390);
|
||||
// Cumulative processed reaches 1000 by the last stage.
|
||||
expect(reports[3].itemsProcessedCumulative).toBe(1000);
|
||||
// All verdicts are proceed.
|
||||
expect(reports.every((r) => r.verdict === 'proceed')).toBe(true);
|
||||
});
|
||||
});
|
||||
|
||||
test('IdempotentMutationVerifier: matched mutation count across stages', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const { verifier, bump, resetForStage } = makeIdempotentVerifier({});
|
||||
void resetForStage;
|
||||
const result = await runProgressiveBatch(
|
||||
Array.from({ length: 25 }, (_, i) => i),
|
||||
verifier,
|
||||
{ label: 'multi-im', maxCostUsd: 1 },
|
||||
async (slice) => {
|
||||
bump(slice.length);
|
||||
return { succeeded: slice.length, failed: 0, costUsd: 0 };
|
||||
},
|
||||
);
|
||||
expect(result.abortedAt).toBeUndefined();
|
||||
expect(result.itemsProcessed).toBe(25);
|
||||
});
|
||||
});
|
||||
|
||||
test('IdempotentMutationVerifier: mutation count off → abort_mutation_mismatch', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const { verifier } = makeIdempotentVerifier({});
|
||||
// Runner claims success but never bumps the mutation counter.
|
||||
const result = await runProgressiveBatch(
|
||||
Array.from({ length: 10 }, (_, i) => i),
|
||||
verifier,
|
||||
{ label: 'im-mm', maxCostUsd: 1 },
|
||||
async (slice) => ({ succeeded: slice.length, failed: 0, costUsd: 0 }),
|
||||
);
|
||||
expect(result.abortedAt?.verdict).toBe('abort_mutation_mismatch');
|
||||
expect(result.abortedAt?.reason).toBe('mutation_count_outside_band');
|
||||
});
|
||||
});
|
||||
|
||||
test('cumulative cost crosses cap mid-multi-stage → abort_cost_cap', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const result = await runProgressiveBatch(
|
||||
Array.from({ length: 200 }, (_, i) => i),
|
||||
makeNoopVerifier(),
|
||||
{ label: 'cc-mid', maxCostUsd: 0.05 },
|
||||
async (slice) => ({
|
||||
// Trial: 10 items × $0.001 = $0.01 cumulative; projected
|
||||
// 200 × $0.001 = $0.20 ≫ $0.05 cap.
|
||||
succeeded: slice.length,
|
||||
failed: 0,
|
||||
costUsd: slice.length * 0.001,
|
||||
}),
|
||||
);
|
||||
expect(result.abortedAt?.verdict).toBe('abort_cost_cap');
|
||||
expect(result.abortedAt?.reason).toBe('cost_projected_over_cap');
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('runProgressiveBatch — degenerate inputs', () => {
|
||||
test('empty item list runs no stages but reports the run happened', async () => {
|
||||
await withEnv(makeAuditEnv(), async () => {
|
||||
const { onStageReport, reports } = collectReports();
|
||||
const result = await runProgressiveBatch(
|
||||
[] as number[],
|
||||
makeNoopVerifier(),
|
||||
{ label: 'empty', maxCostUsd: 1, onStageReport },
|
||||
async () => ({ succeeded: 0, failed: 0, costUsd: 0 }),
|
||||
);
|
||||
expect(result.abortedAt).toBeUndefined();
|
||||
expect(result.itemsProcessed).toBe(0);
|
||||
// We DO emit one report for the zero-item full stage so audit
|
||||
// shows the run was attempted.
|
||||
expect(reports.length).toBe(1);
|
||||
expect(reports[0].stage).toBe('full');
|
||||
expect(reports[0].verdict).toBe('proceed');
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,84 @@
|
||||
/**
|
||||
* v0.41.16.0 — retrofitWrap helper unit tests.
|
||||
*
|
||||
* Pins the thin wrapper used by 8 of the 9 v0.41.16.0 retrofits:
|
||||
* - Default opt-out of D3 safety net + zero ramp grace.
|
||||
* - Audit JSONL still writes.
|
||||
* - Cost projection rolls up correctly.
|
||||
* - Runner error counts surface.
|
||||
*/
|
||||
|
||||
import { describe, expect, test } from 'bun:test';
|
||||
import { mkdtempSync } from 'node:fs';
|
||||
import { tmpdir } from 'node:os';
|
||||
import { join } from 'node:path';
|
||||
import { withEnv } from '../helpers/with-env.ts';
|
||||
import { retrofitWrap } from '../../src/core/progressive-batch/retrofit-wrap.ts';
|
||||
|
||||
function auditEnv(): Record<string, string> {
|
||||
return {
|
||||
GBRAIN_AUDIT_DIR: mkdtempSync(join(tmpdir(), 'rw-audit-')),
|
||||
GBRAIN_PROGRESSIVE_BATCH_AUTO: '1',
|
||||
};
|
||||
}
|
||||
|
||||
describe('retrofitWrap', () => {
|
||||
test('opt-out defaults: runs without BudgetTracker safety net', async () => {
|
||||
await withEnv(auditEnv(), async () => {
|
||||
const r = await retrofitWrap({
|
||||
label: 'unit-test',
|
||||
items: [1, 2, 3, 4, 5],
|
||||
runner: async (rows) => ({ succeeded: rows.length, failed: 0, costUsd: 0 }),
|
||||
});
|
||||
expect(r.abortedAt).toBeUndefined();
|
||||
expect(r.itemsProcessed).toBe(5);
|
||||
});
|
||||
});
|
||||
|
||||
test('passes per-item cost into projection', async () => {
|
||||
await withEnv(auditEnv(), async () => {
|
||||
const r = await retrofitWrap({
|
||||
label: 'cost-projection',
|
||||
items: Array.from({ length: 100 }, (_, i) => i),
|
||||
costPerItem: 0.001,
|
||||
runner: async (rows) => ({
|
||||
succeeded: rows.length,
|
||||
failed: 0,
|
||||
costUsd: rows.length * 0.001,
|
||||
}),
|
||||
});
|
||||
expect(r.abortedAt).toBeUndefined();
|
||||
expect(r.totalCostUsd).toBeCloseTo(0.1);
|
||||
});
|
||||
});
|
||||
|
||||
test('runner failures roll up into the totals', async () => {
|
||||
await withEnv(auditEnv(), async () => {
|
||||
const r = await retrofitWrap({
|
||||
label: 'failure-test',
|
||||
items: Array.from({ length: 10 }, (_, i) => i),
|
||||
runner: async (rows) => ({
|
||||
succeeded: 0,
|
||||
failed: rows.length,
|
||||
costUsd: 0,
|
||||
}),
|
||||
});
|
||||
// Default maxErrorRate=0.02 — 100% failure aborts at trial.
|
||||
expect(r.abortedAt?.verdict).toBe('abort_error_rate');
|
||||
});
|
||||
});
|
||||
|
||||
test('interactiveAbortMs=0 default → no grace period (cron-safe)', async () => {
|
||||
await withEnv(auditEnv(), async () => {
|
||||
const start = Date.now();
|
||||
const r = await retrofitWrap({
|
||||
label: 'cron-safe',
|
||||
items: Array.from({ length: 200 }, (_, i) => i),
|
||||
runner: async (rows) => ({ succeeded: rows.length, failed: 0, costUsd: 0 }),
|
||||
});
|
||||
expect(r.abortedAt).toBeUndefined();
|
||||
// Should sail through all 4 stages with no grace pause.
|
||||
expect(Date.now() - start).toBeLessThan(500);
|
||||
});
|
||||
});
|
||||
});
|
||||
Reference in New Issue
Block a user