Garry Tan and Claude 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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