Files
gbrain/test
Garry TanandClaude Opus 4.7 d1964ef293 feat(ingestion): gstack-learnings bridge source (v0.41 T8)
Implements GstackLearningsSource — the daemon-side IngestionSource
that watches ~/.gstack/projects/{repo}/learnings.jsonl and emits
each new line as a `learning`-typed IngestionEvent.

Closes the v0.40-and-earlier gap where gstack's typed engineering
knowledge base (7 learning types: pattern, pitfall, preference,
architecture, tool, operational, investigation) lived in JSONL files
the brain never queried. After T8 + the engineer-pack manifest
activation, every gstack-logged learning surfaces as a first-class
gbrain page within seconds of being written.

Lifecycle:
  - constructor: discovers JSONL files via ~/.gstack/projects/*/
    learnings.jsonl (cross-project mode, default) or just the current
    project (per-project mode). Test seam: _readFile/_existsSync/_skipWatch.
  - start(ctx): seeds seenLines with content_hashes of EVERY existing
    line so first-run-after-install does NOT replay thousands of
    historical lines as fresh emits. Then installs fs.watch handlers
    (one per discovered file) that fire rescanFile on 'change'.
  - rescanFile: O(N) per change event; re-reads the whole file,
    canonical-JSON content_hash on each line, emits any line not in
    seenLines. Malformed JSONL lines skip+warn.
  - stop(): closes all watchers; JSONL state preserved (gstack owns
    the files, gbrain only reads).
  - healthCheck(): reports warn when no files discovered (gstack not
    installed) OR when watched files have disappeared; ok otherwise
    with counter of lines seen.

mode: 'trickle' (the v0.41 T2 default). Line-level content_hash via
canonical-JSON serialization means whitespace reformatting doesn't
trigger re-emit. Re-emit of an identical line is a silent dedup hit
via the daemon's 24h DedupWindow (T2 trickle path).

Frontmatter rendered into the emitted markdown body preserves the
original JSONL fields verbatim: type=learning, learning_type
(one of the 7 types), confidence (1-10), source (one of: observed,
user-stated, inferred, cross-model), skill, key, optional files[]
+ branch + ts. Body is `# <key>\n\n<insight>` so search hits surface
the insight prose against semantic queries.

Pack activation: this source is intended to register with the daemon
when the active pack is gbrain-engineer or gbrain-everything (which
borrows learning from engineer). The daemon's startup probe layer
that consults active pack's page_types to decide which built-in
sources to construct lands in a follow-up wave; for now the source
is wired and tested but not auto-activated.

Tests (test/ingestion/gstack-learnings.test.ts, 14 cases):
  - Basic contract: mode='trickle', id includes pid, kind='gstack-learnings'
  - Start seeds seenLines (historical lines NOT replayed)
  - Malformed JSONL lines skip without crashing
  - Blank lines + trailing newlines OK
  - emitLine: new line emits, identical line is silent dedup hit
  - Emitted body carries proper frontmatter (type, learning_type,
    confidence, source, skill, key, files, branch, ts)
  - Canonical-JSON content_hash dedup (whitespace reformat = hit)
  - healthCheck warn/ok states
  - describePaths diagnostic per-file existence + size

All 14 pass; typecheck clean.

Plan: ~/.claude/plans/system-instruction-you-are-working-toasty-milner.md
Task T8 of 13.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-24 00:20:34 -07:00
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