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# /sync-gbrain batch ingest migration
**Status:** Implemented on garrytan/dublin-v1 (D1-D8 decisions land in this PR)
**Branch:** garrytan/dublin-v1
**Owner:** Garry Tan
**Triggered by:** /investigate run, 2026-05-09
**Estimated effort:** human ~3 days / CC+gstack ~2 hr
**Files touched:** 4 source + 1 test = 5 total (under estimate)
## Decisions (post-review)
This doc captures the original architecture. Final architecture lands per
the 8 review decisions captured in
`/Users/garrytan/.claude/plans/purrfect-tumbling-quiche.md`:
- **D1** hierarchical staging dir (mkdir -p per slug segment) — kept
- **D2** cut over + delete legacy in same PR (no `--legacy-ingest` flag) — kept
- **D3** scan source-file first, stage only clean — kept
- **D4** ~~three-state OK/DEGRADED/ERR verdict~~ COLLAPSED to OK/ERR per
Codex finding 7 (gbrain content_hash idempotency makes the third state
redundant)
- **D5** ~~skip_reason field in state schema~~ DROPPED per Codex finding 7
(re-runs are cheap; no need for permanent skip-tracking)
- **D6** trust gbrain's content_hash idempotency; drop bookkeeping
scaffolding (skip_reason, three-state, SIGTERM checkpoint)
- **D7** per-file failure detection via `~/.gbrain/sync-failures.jsonl`
(byte-offset snapshot + appended-only read)
- **D8** bundle 3 in-scope pre-existing fixes: F6 atomic saveState
(tmp+rename), F8 isolated-stage benchmark, F9 full-file sha256 hash
(no more 1MB cap)
## Verified from gbrain source
Three properties verified by reading `~/git/gbrain/src/`:
- **Idempotency** at `core/import-file.ts:242-243, :478` — content_hash
check, skip if unchanged, overwrite if changed.
- **Frontmatter parity** at `core/import-file.ts:228, 297, 410-422`
title/type/tags honored; auto-inference only when frontmatter absent.
- **Path-authoritative slug** at `core/sync.ts:260` (`slugifyPath`),
enforced at `core/import-file.ts:429`.
- **Per-file failures surface** at `commands/import.ts:308-310`,
comment at `:28`: "callers can gate state advances" — the
intentional API for what D7 uses.
## Performance: planned vs measured (post 2026-05-10 perf review)
| Metric | Plan target | Measured | Verdict |
|---|---|---|---|
| Prepare phase on 5135 files | — | <10s | FAST |
| `gbrain import` on 5135 files | — | >10 min | gbrain-side perf issue, filed |
| Loop / hang (original bug) | never | never | FIXED |
| Memory ingest exits null on SIGTERM | no | no — state writes succeed; child gbrain dies with parent | FIXED |
| FILE_TOO_LARGE blocks last_commit | no | no — failed paths excluded via D7 | FIXED |
**Initial perf miss + correction.** The first cold-run measurement
(~12 min) was dominated by 1841 sequential gitleaks subprocess spawns
at ~256ms each — a redundant security gate. The cross-machine
exfiltration boundary is `gstack-brain-sync` (bin/gstack-brain-sync:78-110,
regex-based secret scan on staged diff before `git commit`). Scanning
every source file before ingest into a LOCAL PGLite doesn't change
exposure — the secret already lives on disk in plaintext. We made
per-file gitleaks opt-in via `--scan-secrets`. Default is off. That
cut the prepare phase from ~12 min to under 10 seconds.
The remaining cold-run cost is `gbrain import` itself, which scales
worse than linear on large staging dirs (10s for 501 files; >10 min
for 5031). That's a gbrain-side perf issue, not gstack architecture.
Filed as a TODO; the fix likely lives in gbrain's content_hash check
loop or auto-link reconciliation phase.
## F9 hash migration (one-time cliff)
F9 switched `fileSha256` from a 1MB-capped hash to full-file. Existing state
entries from before this change carry the old 1MB-capped hash. For any file
whose mtime hasn't changed, `fileChangedSinceState` returns false at the
mtime check and the new hash is never computed — so unchanged files behave
identically. For any file whose mtime DOES change after upgrade, the
full-file hash is recomputed and (correctly) treated as changed, then
re-imported. The `gbrain doctor` probe report's `updated_count` may show
inflated numbers on the first run post-upgrade because every touched file
crosses the algorithm boundary. No data loss, but worth knowing.
## Follow-ups (filed as TODOs)
1. **gbrain import perf on large dirs** — investigate why 5031 files
take >10 min when 501 takes 10s. Likely culprits: N+1 SQL for
`getPage(slug)` content_hash check, per-page auto-link reconciliation,
FTS index updates without batching. Lives in gbrain, not gstack.
2. **Optional: source-file changed-detection cache** — even with the
prepare phase fast, walking 5031 files takes some time. Caching
the "no changes since last successful import" state at the
batch level (not per-file) would skip the prepare phase entirely
on a no-op incremental run.
## Problem
`/sync-gbrain` memory stage takes 35 minutes on a fresh PGLite and exits null,
losing all progress. Subsequent runs redo the same 35 minutes. Observed in
two consecutive runs (gbrain 0.30.0 broken-postgres run: 712s exit-null;
gbrain 0.31.2 PGLite run: 2100s exit-null with 501 pages actually persisted).
## Root cause (from /investigate)
Two compounding bugs in `bin/gstack-memory-ingest.ts`:
1. **Subprocess-per-file architecture.** The ingest loop at line 911 walks
1,841 files in `~/.gstack/projects/` and spawns two subprocesses per file:
- `gitleaks detect --no-git --source <path>` — 46ms cold start (`lib/gstack-memory-helpers.ts:157`)
- `gbrain put <slug>` — 329ms cold start (`bin/gstack-memory-ingest.ts:823`)
- Per-file floor: 375ms × 1841 = 690s (11.5 min) of pure subprocess startup
before any actual work happens.
2. **Kill-no-save timeout.** Orchestrator at `bin/gstack-gbrain-sync.ts:442`
enforces a 35-min timeout. When it fires, `spawnSync` returns
`result.status === null`, the child gets SIGTERM, and the in-memory
ingest state never flushes to `~/.gstack/.transcript-ingest-state.json`.
Next run starts from the same un-progressed state — explains the
redo-everything pattern.
## Numbers from the field
| Metric | Value | Source |
|---|---|---|
| Files in walkAllSources | 1,841 | `find ~/.gstack/projects -type f \( -name "*.md" -o -name "*.jsonl" \)` |
| `gbrain put` cold start | 329ms | `time (echo "test" \| gbrain put _bench)` |
| `gitleaks detect` cold start | 46ms | `time gitleaks detect --no-git --source <small-file>` |
| Theoretical floor (subprocess only) | 690s / 11.5 min | 375ms × 1841 |
| Observed run time | 2100s / 35 min | matches orchestrator timeout exactly |
| Pages actually persisted | 501 | gbrain sources list page_count |
| PGLite growth during run | 290 → 386 MB | `du -sh ~/.gbrain/brain.pglite` |
## Proposed architecture
Replace the per-file subprocess loop with a **prepare-then-batch** pipeline:
```
walkAllSources(ctx)
→ prepareStage (in-process, fast):
parse transcripts/artifacts
build PageRecord with custom YAML frontmatter
gitleaks scan (single subprocess on staging dir)
write prepared .md to staging dir
→ gbrain import <staging-dir> --no-embed (single subprocess)
→ flush state file with all successes
→ cleanup staging dir
```
### Why `gbrain import <dir>` is the right batch path
- Already shipped in gbrain CLI (verified: `gbrain --help` shows `import <dir> [--no-embed]`).
- Walks dir in-process inside gbrain's own runtime — no subprocess fan-out.
- Honors gbrain's batch-size and embedding-batch tuning.
- gbrain v0.31.2 import did 501 pages + 2906 chunks in 10 seconds during the
observed run; the slow part was OUR per-file `gbrain put` loop above it.
### What we keep that the current code does right
- **Custom YAML frontmatter injection** (title, type, tags) — preserved by
writing prepared .md files with frontmatter into the staging dir.
- **Secret scanning** — preserved, but moved to ONE `gitleaks detect --source <staging-dir>`
call after prepare, before import. Files with findings get redacted or
excluded; staging dir guarantees gitleaks sees only the prepared content,
not internal gbrain state.
- **Partial-transcript detection** — preserved in prepare stage; partial
files still get a `partial: true` field in frontmatter.
- **Unattributed-transcript filtering** — preserved in prepare stage.
- **Per-file mtime + sha256 state tracking** — preserved; the prepare stage
records what got staged, the import-success result records what landed.
- **Incremental mode** — `fileChangedSinceState` check stays at the top of
the prepare loop.
## Migration steps
### Step 1: extract `preparePages` from current ingest loop
Take everything in `ingestPass` (lines 899-988 of `bin/gstack-memory-ingest.ts`)
between the walk and the `gbrainPutPage` call. Move into a new function
`preparePages(args, ctx, state) → { staged: PreparedPage[], skipped, failed }`.
Output: list of `{ slug, body, source_path, mtime_ns, sha256, partial }`
where `body` is the full markdown including frontmatter.
### Step 2: add staging dir writer
Pure function: `writeStaged(prepared, stagingDir) → { written, errors }`.
Filename: `${slug}.md`. Idempotent overwrite.
Staging dir lifecycle:
- Created at `~/.gstack/.staging-ingest-${pid}-${ts}/`
- Cleaned in `finally` block, even on SIGTERM
- One staging dir per ingest pass — never reused across runs
### Step 3: single gitleaks pass
Replace per-file `secretScanFile(path)` calls with one call after prepare:
`gitleaks detect --no-git --source <staging-dir> --report-format json --report-path -`.
Parse JSON output, build `Map<slug, findings[]>`. Files with findings get
removed from staging dir before import (or sanitized in place per existing
redaction policy in `lib/gstack-memory-helpers.ts`).
### Step 4: replace `gbrainPutPage` loop with single import call
```typescript
const importResult = spawnSync("gbrain", ["import", stagingDir], {
stdio: ["ignore", "inherit", "inherit"],
timeout: 30 * 60 * 1000, // generous; whole batch
});
```
Parse stdout for the `Import complete` line and the `failed` count.
### Step 5: persist state on partial success
If gbrain import reports `imported=N, failed=M`, save state for the N
successful slugs (not all of them). Failures stay un-state'd so they retry
next run, but successes don't redo.
### Step 6: SIGTERM handler in `gstack-memory-ingest.ts`
Wrap `main()` in:
```typescript
let interrupted = false;
const flush = () => {
if (interrupted) return;
interrupted = true;
saveState(state); // best-effort flush of whatever's accumulated
cleanupStagingDir();
process.exit(143);
};
process.on("SIGTERM", flush);
process.on("SIGINT", flush);
```
This unblocks the kill-no-save bug independently — even if the batch import
runs over the orchestrator timeout, state from the prepare stage survives.
### Step 7: orchestrator update
In `bin/gstack-gbrain-sync.ts:444`:
- Change `result.status === 0` to `result.status === 0 || (parsedSummary.imported > 0 && parsedSummary.imported >= parsedSummary.skipped + parsedSummary.failed)`.
Treat partial success (most pages imported) as OK, not ERR.
- Surface `failed_count` and `partial_blockers` in the stage summary so the
user sees `Memory ... OK 487/501 imported (14 FILE_TOO_LARGE)` instead
of `ERR exited null`.
### Step 8: handle FILE_TOO_LARGE specifically
When gbrain reports FILE_TOO_LARGE, log to a new
`~/.gstack/.ingest-skip-list.json` so the next prepare stage skips that file
entirely. Avoids re-staging a file that will always fail. User can review
the skip list with a new `gstack-memory-ingest --skip-list` flag.
## Test plan
1. **Unit (free, runs in `bun test`):**
- `preparePages` against fixture corpus of 50 files: assert YAML correct,
partial detection works, unattributed filtered.
- `writeStaged` overwrite idempotency.
- SIGTERM handler flush behavior using a child-process test harness.
2. **Integration (free, runs in `bun test`):**
- End-to-end: prepare → gitleaks → gbrain import on a temp PGLite,
assert page_count matches imported count.
- Partial-success path: inject a deliberate FILE_TOO_LARGE; assert
successes still state'd, failure logged to skip list.
- State preservation across SIGTERM: spawn ingest, kill at midpoint,
restart, assert resumed state.
3. **Benchmark gate (periodic, paid):**
- Cold run on 1841-file fixture: assert under 8 min.
- Incremental run (no changes): assert under 60 sec.
- Test fixture: copy of `~/.gstack/projects/` snapshot for repeatable timing.
## Rollback strategy
- New `--legacy-ingest` flag on `gstack-memory-ingest` keeps the old
per-file path callable for one release cycle.
- If batch path regresses on a real corpus, set
`gstack-config set memory_ingest_path legacy` to revert without redeploy.
- Remove flag + legacy path one minor version after confirming batch is stable.
## Risks & open questions for plan-eng-review
1. **gbrain import idempotency on overlapping slugs.** If a previous run
wrote slug X to PGLite with old content, does `gbrain import` of
updated-X overwrite or duplicate? Need to test before relying on it.
2. **Frontmatter injection inside `gbrain import` parser.** Current code
knows how to inject title/type/tags into existing frontmatter blocks
(line 794-821). Does `gbrain import` honor those fields the same way
`gbrain put` does? Verify in unit test.
3. **Staging dir disk pressure.** 1841 files × avg ~50KB = ~92MB of
staging .md content. Acceptable on dev machines but worth knowing.
Alternative: stream prepared content to a tar piped to import (if gbrain
supports it) — likely not, ignore for V1.
4. **Cross-worktree concurrency.** `~/.gstack/.staging-ingest-${pid}-${ts}/`
is pid-namespaced so two concurrent /sync-gbrain runs don't collide.
But the orchestrator already holds a lock at `~/.gstack/.sync-gbrain.lock`
so this is belt-and-suspenders. Keep it.
5. **The "memory ingest exited null" message.** After this change, the
orchestrator might still see status=null on real OOM kills or SIGKILL.
Should the verdict block be more honest? E.g.,
`ERR memory: killed by signal SIGTERM at 35:00 (timeout)`.
6. **Should we deprecate `gbrain put` for memory entirely?** The legacy
path exists for V1.5's `put_file` migration plan. With batch import
working, do we still need single-page put as a fallback for ad-hoc
ingestion? Probably yes (for `~/.gstack/.transcript-ingest-state.json`
updates triggered outside the orchestrator), but worth confirming.
## What this isn't
- Not a gbrain CLI change. All work is in gstack.
- Not a CLAUDE.md voice/UX change.
- Not a new user-facing feature. CHANGELOG entry will read: "Memory ingest
is ~10× faster on cold runs and survives interruption."
## Acceptance criteria
- Cold `/sync-gbrain` on 1841 files completes in under 8 minutes.
- Incremental `/sync-gbrain` (no file changes) completes in under 60 seconds.
- SIGTERM mid-run flushes state; next run resumes without redoing
successfully-imported files.
- FILE_TOO_LARGE failures don't block sync.last_commit advancement.
- All existing test fixtures (transcripts, learnings, design-docs, ceo-plans)
ingest correctly with full frontmatter.
- No regression on partial-transcript or unattributed-transcript handling.