Nothing ever removed a submission: users could not retract a pending row, no
route deleted blobs or rows, and the reaper never touches uploads — so every
upload accumulated on the 5 GiB PVC forever and the only cleanup was SQL or
kubectl against the store.
- Blobs.Delete on both transports (local: RemoveAll of the id-namespaced dir,
id re-validated at the boundary; S3: idempotent object DELETE).
- Store: DeleteSubmission (admin, any status) and DeletePendingSubmission
(owner+pending CAS — a reviewed row can never be withdrawn out from under
its build).
- Manager.Delete / Manager.Withdraw delete the ROW first (under the CAS for
withdraw) and the blob after, so a live row can never point at a reaped
blob; a cleanup failure names the orphan explicitly instead of failing mute.
- API: DELETE /me/submissions/{id} (withdraw, app tier) and
DELETE /api/v1/submissions/{id} (admin) both return the row as it was;
audit events submission.withdraw / submission.delete; openapi documents both
paths; admin route pinned in the admin-only table.
- Panel: two-step withdraw on a pending row (frees the pending slot and the
storage budget); two-step delete on every admin row; zh/en copy; wire tests.
Unit: submit (withdraw happy path / wrong owner / reviewed row / no transport /
blob-cleanup failure), local+S3 delete idempotence, api handlers (200/404/409/
503 + route tier); pgint: withdraw CAS + admin delete exactly-once.
go vet/go test/gofmt clean; panel vitest 120 + typecheck green.
A logged-in user could file submissions without bound and stream a 1 GiB
context per submission. The only limits were the single-blob size cap and the
5 GiB uploads PVC (platform/workloads.go); nothing counted a user's rows or
bytes, so one account could fill the volume and every other user's upload
would start failing.
- Create: per-user pending_review cap (default 5) — the review queue cannot
be parked full of one account's rows. Check-then-insert, documented soft.
- UploadContext: per-user stored-context budget (default 2 GiB) charged
against the blob store's REAL sizes (new Blobs.Size on local/S3 stores), so
the sum cannot drift from the volume; the write is capped at the remaining
budget, so the excess is refused before it is persisted, and a re-upload is
charged only for its new bytes.
- API: per-user create/upload throttles (30s/15s, cmd/felis-wired) on a
dedicated cooldown keyspace, reserve→release so a failed attempt never
burns the window and a burst collapses to one winner; ErrQuotaExceeded →
403 submission_quota_exceeded (distinct from the 400 an oversize blob
gets), 429 submission_cooldown for the throttles.
- Panel: zh/en copy for both codes; openapi documents 403/429 on the two
user routes; pgint covers the pending-queue count.
Unit tests: submit package (cap, budget boundary/exact-fit/replacement,
oversize-vs-quota split) and api handlers (quota 403 both paths, throttle
429 + recovery + failure-release). go vet/go test/gofmt clean; panel
vitest 118 + typecheck green.
Every other Job family carries a TTLSecondsAfterFinished (fileedit 2m,
backup/restore 10m) but the build lane never set one: each build left a
completed Job + Pod in felis-build indefinitely (5 already on the drill
cluster, oldest 26h), growing etcd and — since completed pods count
against the node's pod budget (110 on stock k3s) — eventually blocking
new builds. The code even anticipated GC it never got ("JobUnknown
means the Job was not found (e.g. GC'd)").
Set a deliberately long TTL (7 days): the kaniko log is the admin
failure-triage surface (GET /images/build/{id}/logs), so the window
keeps a week of logs while bounding steady-state pods; terminal builds
are idempotent under Sync, so a late log-404 is the only cost.
Lemon-miaow