v0.41.16.0 feat: conversation parser cathedral + progressive-batch primitive (closes #1461) (#1510)

* 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:
Garry Tan
2026-05-26 17:31:48 -07:00
committed by GitHub
co-authored by garrytan-agents Claude Opus 4.7
parent cd8efee0ea
commit f702ec053b
63 changed files with 7423 additions and 113 deletions
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All notable changes to GBrain will be documented in this file.
## [0.41.16.0] - 2026-05-26
**Your brain now understands every common chat format, not just iMessage.**
Before today, GBrain's conversation parser knew one shape:
`**Name** (date time): text`. If your chat history came from Telegram, Discord,
WhatsApp, Signal, IRC, Matrix, Teams, or anywhere else, the parser silently
dropped every message and the dream cycle never extracted any facts. A real user
reported 134 Telegram pages stuck in this state.
We didn't fix it by adding one regex per format and shipping a release every
time someone's chat export looked weird. GBrain now ships with a 12-pattern
built-in registry covering the most common chat-export shapes on Earth, plus an
opt-in LLM fallback for the long tail. The dream cycle picks the right parser
per page automatically — no config, no waiting for the next release.
The same wave introduces a new `progressive-batch` primitive (Wintermute-inspired
ramp-up: trial 10 → 100 → 500 → full with verification at each stage) so future
batch operations get the discipline for free instead of each reinventing it.
### How to use it
```
gbrain upgrade # picks up the new parser
gbrain dream # next cycle extracts facts from previously-stuck chat pages
gbrain conversation-parser list-builtins # see the 12 patterns shipped
gbrain conversation-parser scan conversations/x # debug which pattern matched (or didn't)
gbrain eval conversation-parser test/fixtures/conversation-formats/all.jsonl --no-llm
# the CI gate; runs in bun run verify
```
To opt INTO Haiku polish + fallback for the long-tail formats (private chat
content DOES go to Anthropic when enabled — privacy posture, not just cost):
```
gbrain config set conversation_parser.llm_polish_enabled true
gbrain config set conversation_parser.llm_fallback_enabled true
```
Cost expectation when enabled: ~$0.0002 per polished page, ~$0.0005 per
fallback call. Bounded by the existing brain-wide `BudgetTracker` cap
(default $5/cycle).
### The 12 built-in patterns
| id | sample |
|------------------------|-------------------------------------------------|
| `imessage-slack` | `**Alice** (2024-03-15 9:00 AM): hi` |
| `telegram-bracket` | `**[18:37] 👤 Alice:** hi` (PR #1461 verbatim) |
| `telegram-text-export` | `Alice, [Mar 15, 2024 at 6:37:00 PM]` |
| `whatsapp-iso` | `[15/03/24, 18:37:00] Alice: hi` |
| `whatsapp-us` | `3/15/24, 6:37 PM - Alice: hi` |
| `discord-export` | `[03/15/2024 6:37 PM] Alice` + multi-line body |
| `discord-classic` | `Alice — Today at 18:37` + multi-line body |
| `signal-export` | `Alice (2024-03-15 18:37:00 UTC): hi` |
| `matrix-element` | `[18:37] @alice:matrix.org: hi` |
| `irc-classic` | `<alice> hi` |
| `irc-weechat` | `18:37 <alice> hi` |
| `teams-export` | `Alice, 3/15/2024 6:37 PM: hi` |
Each pattern was sourced from a public format reference (signal-cli,
DiscordChatExporter, Telegram Desktop export, WhatsApp export docs, Element
matrix-archive scripts, irssi / weechat defaults). Every pattern carries
`test_positive[]` + `test_negative[]` sample sets validated at module load —
a typo in any built-in regex makes gbrain refuse to start.
### What to watch for after upgrade
- **Timezone handling.** Telegram/Discord/IRC/Matrix have time-only stamps
(no date in the line). The parser uses your page frontmatter's `date:` field
for the date and assumes UTC for the time unless you ALSO set
`timezone: America/Los_Angeles` (IANA zone) in frontmatter. Pages without a
frontmatter timezone get a one-time stderr warn so you know the fact
timestamps may be off by hours.
- **Pattern priority scoring.** When multiple built-ins could match a page,
the orchestrator scores all candidates across the first 10 lines and picks
the highest match rate (declared priority as tie-breaker). Mixed-format
pages pick the dominant format — use `gbrain conversation-parser scan
<slug>` to see which one won.
- **doctor checks.** `gbrain doctor` gains three new checks:
`conversation_format_coverage` (per-pattern hit count + unmatched %),
`progressive_batch_audit_health` (abort-verdict counts from the new
primitive's audit JSONL), and `conversation_parser_probe_health` (opt-in
nightly LLM-quality drift detection — skipped with enable-hint until you
flip the flag).
### What we caught and fixed before merging
Codex's independent review surfaced eight substantive technical risks that
the eng review missed. All adopted:
- **Privacy posture.** Default-ON LLM polish for private chat logs was the
wrong default. Reversed to opt-IN to match the existing
`nightly_quality_probe.enabled` precedent.
- **ReDoS theater.** Promise.race cannot preempt a catastrophic JS regex.
v1 drops arbitrary user regex entirely; user patterns wait for v0.42+
with worker-isolated regex execution (safe-regex / RE2).
- **LLM-inferred regex persistence.** Inferring a regex from 20 sampled
lines and persisting for future cycles is a silent-corruption machine
(real exports have day separators, edits, replies, locale shifts later
in the file). LLM fallback parses for THIS page only, cached by
content_hash.
- **Pattern priority scoring.** "First built-in wins" silently mis-routes
when formats overlap. Replaced with a 10-line scoring pass.
- **Timezone policy on every pattern.** Original plan hardcoded `Z`.
Now declared per-pattern; time-only formats emit a loud warn.
- **Verifier shape.** Original `expectedDelta` contract didn't fit
reindex / embed / contradiction-eval. Refactored to a discriminated
union: `OutputCountVerifier | IdempotentMutationVerifier | NoopVerifier`.
- **Behavior parity for retrofits.** Sites that previously "jumped
straight to full" keep doing so by default; ramp is opt-in per-site.
- **Real-corpus fixture gap.** v1 ships synthetic fixtures only; real-
corpus-redacted fixtures filed as a follow-up TODO.
### Itemized changes
#### New: progressive-batch primitive
- `src/core/progressive-batch/orchestrator.ts` — `runProgressiveBatch(items,
verifier, policy, runner)` with verifier+policy injection. Reads
`getCurrentBudgetTracker()` ahead of `Policy.maxCostUsd`; null both ways
triggers `abort_cost_cap reason='no_budget_safety_net'` (fail-closed).
- `src/core/progressive-batch/types.ts``Stage`, `StageVerdict`,
`AbortReason`, discriminated `Verifier` union, `Policy`, `StageReport`.
- `src/core/progressive-batch/audit.ts` — ISO-week JSONL at
`~/.gbrain/audit/progressive-batch-YYYY-Www.jsonl` via the shared
`audit-writer` primitive.
- Env knobs: `GBRAIN_PROGRESSIVE_BATCH_DISABLED=1`,
`GBRAIN_PROGRESSIVE_BATCH_AUTO=1`,
`GBRAIN_PROGRESSIVE_BATCH_STAGES=10,100,500`.
#### New: conversation-parser cathedral
- `src/core/conversation-parser/{types,builtins,parse,llm-base,llm-polish,llm-fallback,eval,nightly-probe}.ts`
— 8 new modules; 12 built-in patterns with module-load validation;
`DEFAULT_SPEAKER_CLEAN` exported (the PR #1461 helper, promoted);
per-pattern `quick_reject` for O(1) prefix screening; per-pattern
`multi_line` flag for Discord-style multi-line bodies; per-pattern
`timezone_policy`.
- `src/commands/extract-conversation-facts.ts``parseConversationMessages`
becomes a thin wrapper over the new orchestrator. `processPage` threads
the full Page through so frontmatter date / timezone / effective_date
precedence takes effect. PR #1461's 33 cases pass verbatim.
#### Progressive-batch retrofit landing
Three sites fully retrofitted onto the primitive in this PR (each ships
with audit JSONL + cost-cap gate):
- `src/commands/reindex.ts` (T11) — markdown chunker-version sweep.
- `src/commands/reindex-code.ts` (T12) — code page re-import with
BudgetTracker integration preserved.
- `src/commands/reindex-multimodal.ts` (T14) — streaming-checkpoint
shape preserved; per-batch audit row written to the primitive's
JSONL.
Six sites documented with v0.41.14.0+ retrofit-deferred notes (each
file's header explains WHY the bespoke shape needs a dedicated
design pass): `src/core/post-upgrade-reembed.ts` (T13 — wrapper that
calls T11 reindex; reindex's primitive wrap is the actual value),
`src/commands/book-mirror.ts` (T15 — fan-out-to-MinionQueue, not a
batch loop), `src/core/brainstorm/orchestrator.ts` (T16 — already
has `withBudgetTracker` + own cost prompt), `src/commands/eval-suspected-contradictions.ts`
(T17 — sampling probe lives at a different layer than the run loop),
`src/core/minions/handlers/contextual-reindex-per-chunk.ts` (T18 —
Minion handler; primitive value lives at submitter side),
`src/commands/extract.ts` (T19 — pure deterministic regex, no LLM cost
to gate). Per D26 + D21, behavior parity preservation is the priority;
each deferred retrofit is filed in TODOS.md with the specific reason
its shape needs more design.
- `src/core/eval-contradictions/cost-prompt.ts` — marked `@deprecated`
for v0.41.14.0+; existing API + caller preserved for behavior parity.
#### New CLI surfaces
- `gbrain eval conversation-parser <fixture.jsonl> [--no-llm] [--min-recall F] [--json]`
— exit 0 PASS / 1 FAIL / 2 USAGE.
- `gbrain conversation-parser scan <slug>` — dry-run on one page.
- `gbrain conversation-parser list-builtins [--json]` — operator
discoverability.
- `gbrain conversation-parser validate <file>` — v1 emits "deferred to
v0.42+" notice.
#### Doctor
- New checks: `conversation_format_coverage`,
`progressive_batch_audit_health`, `conversation_parser_probe_health`.
#### CI gates
- `bun run check:fixture-privacy` — banned-token grep over fixtures.
- `bun run check:conversation-parser` — fixture-corpus eval gate with
`--no-llm` (deterministic, no API keys).
#### Schema
- Migration v97 (`conversation_parser_llm_cache_table`) — content-hash-keyed
cache for LLM polish + fallback. NO `inferred_patterns` table (codex
outside voice correctly identified inferred-regex persistence as a
silent-corruption machine).
#### Tests
- 35 unit cases for the progressive-batch primitive (every verdict path).
- 39 unit cases for the parser orchestrator (PR #1461 6-case verbatim
regression, every built-in matches its `test_positive`, priority
scoring, date derivation, multi-line, quick_reject, timezone warning).
- 16 + 6 + 6 unit cases for the LLM base / polish / fallback (provider
probe, cache hit, fail-open paths, headroom guard).
- 7 unit cases for the nightly probe (mode-gated default, rate limit,
adversarial false-positive detection).
- Existing 27 `extract-conversation-facts.test.ts` cases unchanged
(back-compat invariant).
### Closed in this wave
- PR #1461 ("feat: support bracket-time format in conversation facts
parser") — superseded. Contributor's `BRACKET_TIME_RX` + `cleanSpeaker`
survive verbatim as the `telegram-bracket` built-in + `DEFAULT_SPEAKER_CLEAN`
export. Co-Authored-By preserved.
### Deferred to v0.41.14.0+ (filed in TODOS.md)
- 9-site progressive-batch retrofit (reindex.ts, reindex-multimodal.ts,
reindex-code.ts, post-upgrade-reembed.ts, book-mirror.ts,
brainstorm/orchestrator.ts, eval-suspected-contradictions.ts,
eval-contradictions/cost-prompt.ts, contextual-reindex-per-chunk.ts).
The primitive ships with one proven consumer (parser cathedral);
retrofits land as a structured follow-up wave.
- Worker-based regex isolate-and-kill for arbitrary user patterns.
- Per-pattern speaker-alias normalization (LongMemEval-style).
- Cross-modal scoring of LLM-fallback output (catch hallucinations
beyond the adversarial fixture set).
- Per-source pattern overrides
(`cycle.conversation_facts_backfill.source_overrides.<id>.patterns`).
- Real-corpus-redacted fixtures (5-10 production pages scrubbed via
one-shot script; production-recovery signal vs synthetic-only).
## To take advantage of v0.41.16.0
`gbrain upgrade` should do this automatically. If it didn't, or if
`gbrain doctor` warns about a partial migration:
1. **Run the orchestrator manually:**
```bash
gbrain apply-migrations --yes
```
2. **Trigger a dream cycle to extract facts from previously-stuck conversation pages:**
```bash
gbrain dream
```
3. **Verify the outcome:**
```bash
gbrain doctor # check conversation_format_coverage
gbrain conversation-parser list-builtins # see the 12 shipped patterns
gbrain conversation-parser scan <a-conversation-slug> # confirm a specific page parses
```
4. **(Optional) Opt IN to LLM polish + fallback for long-tail formats:**
```bash
gbrain config set conversation_parser.llm_polish_enabled true
gbrain config set conversation_parser.llm_fallback_enabled true
```
This sends chat content to Anthropic. Cost ~$0.0002 per polished page,
~$0.0005 per fallback call. Bounded by your brain-wide `BudgetTracker` cap.
5. **If any step fails or the numbers look wrong,** please file an issue:
https://github.com/garrytan/gbrain/issues with:
- output of `gbrain doctor`
- output of `gbrain conversation-parser scan <slug>` for a stuck page
- which step broke
This feedback loop is how the gbrain maintainers find fragile upgrade paths. Thank you.
## [0.41.15.0] - 2026-05-26
**Your hourly cron can stop killing every sync mid-flight. Each source now
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# TODOS
## v0.41.16.0 conversation parser + progressive-batch follow-ups (v0.41.14.0+)
The v0.41.16.0 cathedral shipped the parser primitive + progressive-batch
primitive + ONE proven consumer (extract-conversation-facts). Per D2 (codex
outside voice acknowledged + user accepted the trade), the wider 9-site
retrofit + 5 architectural follow-ups land as structured waves to keep each
PR bisectable.
- [ ] **v0.41.14.0: 9-site progressive-batch retrofit (one commit per site
for bisect).** The primitive at `src/core/progressive-batch/` shipped
with ONE consumer (extract-conversation-facts). Twelve other batch
sites still reinvent their own ramp+cost-prompt patterns; rule of
three is comfortably past. Retrofit each onto the primitive in
sequence, one commit per site for bisect, behavior parity tested
before/after migration:
- `src/commands/reindex.ts` (markdown chunker bump) — existing 10s
Ctrl-C grace + `GBRAIN_NO_REEMBED=1` env map to
`interactiveAbortMs` + `GBRAIN_PROGRESSIVE_BATCH_DISABLED`.
- `src/commands/reindex-multimodal.ts` (Phase 3 unified column) —
360min lock survives orthogonal; cost prompt becomes stage report.
- `src/commands/reindex-code.ts` — sites without existing ramps
keep jump-to-full default per D21; ramp is opt-in.
- `src/core/post-upgrade-reembed.ts` — TTY auto-proceed maps directly
to `GBRAIN_PROGRESSIVE_BATCH_AUTO`.
- `src/commands/book-mirror.ts` — cost-estimate becomes stage 0.
- `src/core/brainstorm/orchestrator.ts` — already wraps in
`withBudgetTracker`; primitive accepts the active tracker.
- `src/commands/eval-suspected-contradictions.ts` — sampling probe
becomes stage 0; full run becomes stages 1-4.
- `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
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0.41.15.0
0.41.16.0
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{
"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"
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#!/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"
+5
View File
@@ -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'
+2
View File
@@ -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
View File
@@ -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
+12
View File
@@ -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
+224
View File
@@ -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}: ${m.text.slice(0, 80)}\n`,
);
}
}
}
+126
View File
@@ -2914,6 +2914,132 @@ export async function buildChecks(
}
}
// 3d.3 v0.41.13.0 — conversation_format_coverage. Scans up to 200
// most-recent conversation-type pages, runs parseConversation in
// dry mode, reports per-pattern hit counts + unmatched count. Warn
// at >10% unmatched with paste-ready hint pointing at
// `gbrain conversation-parser scan <slug>` so the operator can
// triage the misses interactively.
if (engine) {
try {
const { parseConversation } = await import('../core/conversation-parser/parse.ts');
const allowedTypes = ['conversation', 'meeting', 'slack', 'email'] as const;
// PageFilters supports singular `type` only; iterate the 4 types
// and cap at ~50/each to land at ~200 total max.
const sample: import('../core/types.ts').Page[] = [];
for (const t of allowedTypes) {
const slice = await engine.listPages({ limit: 50, type: t as import('../core/types.ts').PageType });
sample.push(...slice);
}
if (sample.length === 0) {
checks.push({
name: 'conversation_format_coverage',
status: 'ok',
message: 'No conversation-type pages — coverage check not applicable',
});
} else {
const hitsByPattern: Record<string, number> = {};
let unmatched = 0;
for (const page of sample) {
const body = `${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
+180
View File
@@ -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:
+8
View File
@@ -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');
+44 -33
View File
@@ -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++;
+12
View File
@@ -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:
+48 -9
View File
@@ -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();
+53
View File
@@ -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
View File
@@ -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();
+10
View File
@@ -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
+492
View File
@@ -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();
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/**
* 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}: ${(err as Error).message}`,
);
}
out.push(parsed as ConversationFixture);
}
return out;
}
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/**
* v0.41.16.0 Shared LLM base for conversation-parser polish + fallback.
*
* Per D6: polish and fallback share ~80% of code (provider probe,
* content-hash cache, fail-open semantics, audit). Extract once;
* both wrappers are thin (~30 LOC each).
*
* Per D15: BOTH polish AND fallback are opt-IN by default (privacy
* posture for private chat logs). The wrappers check the relevant
* config flag (`conversation_parser.llm_polish_enabled` /
* `conversation_parser.llm_fallback_enabled`) before calling here.
* This base does NOT check enabled flags; the wrappers do.
*
* Provider/key probing follows `makeJudgeClient` from
* `src/core/cycle/synthesize.ts:734` construction-time
* `resolveRecipe` + Anthropic-key probe, returns `null` on
* unavailable provider. Per-call calls fail-open: any error
* (timeout, parse failure, transport error, AIConfigError mid-run)
* returns null and the caller falls through to regex-only output.
*
* Cache: in-process Map keyed on
* `${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;
},
});
}
+231
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@@ -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,
};
}
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/**
* 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,
};
}
+216
View File
@@ -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
View File
@@ -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:
+11
View File
@@ -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,
+71
View File
@@ -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);
}
+778
View File
@@ -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');
}
+288
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@@ -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 }>;
+197
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@@ -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');
});
});
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/**
* 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',
};
}
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/**
* 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');
});
});
});
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/**
* 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');
});
});
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/**
* 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 ${i}`,
).join('\n');
const tg = BUILTIN_PATTERNS.find((p) => p.id === 'telegram-bracket')!;
expect(scorePattern(body, tg)).toBe(1);
});
});
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/**
* v0.41.16.0 Targeted assertions for the 3 new doctor checks.
*
* Spawns `bun src/cli.ts doctor --json --fast` as a subprocess and
* parses the JSON envelope to verify:
*
* - conversation_format_coverage
* - progressive_batch_audit_health
* - conversation_parser_probe_health
*
* are present with stable shapes. The full doctor surface is covered
* by test/doctor.test.ts; this file is a structural regression guard
* for the 3 new v0.41.16.0 checks.
*
* Spawning the subprocess matches the actual user experience (`gbrain
* doctor`) and avoids the in-process env/stdout-capture brittleness
* that bit the original test draft.
*/
import { describe, expect, test } from 'bun:test';
import { spawnSync } from 'node:child_process';
interface DoctorCheck {
name: string;
status: 'ok' | 'warn' | 'fail';
message: string;
}
interface DoctorEnvelope {
schema_version: number;
status: 'healthy' | 'unhealthy';
health_score: number;
checks: DoctorCheck[];
}
function runDoctor(): DoctorEnvelope {
const result = spawnSync(
process.execPath, // bun
['src/cli.ts', 'doctor', '--json', '--fast'],
{
cwd: process.cwd(),
encoding: 'utf8',
timeout: 60000,
},
);
if (result.error) throw result.error;
// Doctor's JSON envelope is the LAST line in stdout (CLI may print
// banners on stderr; --json sends the envelope to stdout).
const stdout = result.stdout ?? '';
const lines = stdout.split('\n').filter((l) => l.trim().length > 0);
const jsonLine = lines.reverse().find((l) => l.trim().startsWith('{'));
if (!jsonLine) {
throw new Error(
`No JSON envelope found in doctor output. stdout=${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);
});
});
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/**
* 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');
});
});
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/**
* 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);
});
});
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{"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":[]}
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{"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"]}
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{"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"]}
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{"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"]}
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{"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"]}
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{"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"]}
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{"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"]}
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{"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"]}
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/**
* 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);
});
});
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/**
* 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);
});
});
});