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PaperClipAI/doc
Devin FoleyandPaperclip 6fae6f2cb8 fix(wake-queue): preserve pending work when a queued run is stopped (#16357)
## Thinking Path

> - Paperclip is the open source app people use to manage AI agents for
work.
> - The wake queue releases task locks and can promote saved follow-up
work when a run ends.
> - An operator can stop a queued run before dispatch selects its
runtime.
> - The legacy release path can promote the old follow-up after that
Stop.
> - For an obsolete routine cycle, this can conflict with the current
active cycle after cancellation has already committed.
> - This pull request preserves the deferred input without promoting it
at that release boundary.
> - The benefit is that a queued Stop stays stopped and does not return
an error from starting an obsolete follow-up.

## Linked Issues or Issue Description

Related: Refs #14300 and Refs #16339 describe other pre-dispatch
cancellation paths. Related PR #16238 changes former-owner wake
selection. This change addresses expected operator cancellation before
legacy runtime selection, without changing those contracts.

**What happened?**

Stopping an unstarted legacy run committed its cancellation, then tried
to promote a deferred wake. When another cycle of the same routine was
already active, the issue lock update failed against
`issues_open_routine_execution_uq`. The cancel request returned HTTP 500
even though the run was cancelled. Without a competing cycle, the Stop
launched the old follow-up.

**What did you expect to happen?**

Release the stopped run's own locks and preserve deferred input for a
later eligible instruction. Do not start the old queue as a side effect
of Stop.

**Steps to reproduce**

Create two cycles of the same routine. Keep the current cycle active.
Give the old cycle an unstarted legacy run with a verified bootstrap
record and a deferred wake. Cancel that run as a board operator, then
release its issue execution. The added database regression reproduces
the failed lock update before the fix.

**Paperclip version / commit**

Reproduced on parent commit `976cdc77ed564dc3e014621505890b647e554a7f`.

**Deployment mode**

A remote runtime exposed the symptom. The regression uses embedded
PostgreSQL and the real wake-queue adapter.

## What Changed

- Recognize an expected operator Stop only when the legacy run has no
runtime-selection time, start time, process-start time, or process
identity.
- Use the existing release boundary to preserve deferred input without
promoting it.
- Add database regressions for ordinary Stop, a competing routine cycle,
repeated release, provider cancellation, runtime selection, and
dispatched-run reconciliation.
- Document the behavior and update both recovery maps.

## Verification

- Before the fix, both queued Stop cases failed. The competing-cycle
case raised `issues_open_routine_execution_uq`. The three control cases
passed.
- `node node_modules/vitest/vitest.mjs run --project @paperclipai/server
server/src/modules/wake-queue`: 7 files and 214 tests passed, including
all five new database cases.
- `node scripts/check-maps.mjs` and `git diff --check` passed.
- `pnpm -r typecheck`, `pnpm build`, and all 10 map-script tests passed
locally. The complete CI suite is green on
`8e204eef87f1a593df5c183abef764e4b9eb5fd1`. The remaining serial local
full-suite run was stopped once that unchanged-head CI verification
passed; a local full-suite pass is not claimed. Apex review passed at
5/5 on the same head with no review threads.

## Risks

- The change is limited to recorded operator cancellation before legacy
runtime selection. Selected runtimes, dispatched work, provider
cancellation, and native stop acknowledgement keep their existing paths.
- Deferred work is retained. A later eligible instruction must still use
normal admission and all current gates.
- No schema migration or new authority is required. This regression is
not proof of a live provider stop.

## Model Used

OpenAI GPT-6 through Codex, with reasoning, tool use, and code
execution. The exact serving snapshot ID and context window size are not
exposed in this session.

## Checklist

- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above
- [x] I have either (a) linked existing issues with `Fixes: #` / `Closes
#` / `Refs #` OR (b) described the issue in-PR following the relevant
issue template
- [x] I have not referenced internal/instance-local Paperclip issues or
links (only public GitHub `#NNN` / `github.com/paperclipai/paperclip`
URLs)
- [x] My branch name describes the change (e.g. `docs/...`, `fix/...`)
and contains no internal Paperclip ticket id or instance-derived details
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented any risks above
- [x] All Paperclip CI gates are green
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [x] I will address all Greptile and reviewer comments before
requesting merge

Co-authored-by: Paperclip <noreply@paperclip.ing>
2026-10-14 18:18:26 -07:00
..
2026-02-16 14:25:00 -06:00