mirror of
https://github.com/paperclipai/paperclip.git
synced 2026-11-03 17:51:58 +01:00
DottaandPaperclip
0fd82e386e
## Thinking Path > - Paperclip lets people manage AI agents and inspect their work. > - The chat catalog uses real Product E2E cases and reports their original grades to TestOps. > - The current report matrix waits for every selected worker. > - A large selection can hide completed results for hours. > - Each case can use the existing private reader and safe exporter after its own worker ends. > - This PR gives each case a separate upload and readback job, then verifies final coverage without another upload. > - People can inspect completed cases while the rest of the selection runs. ## Linked Issues or Issue Description Refs #18542, #18625. **What existing behavior does this improve?** The existing chat catalog reports results to TestOps only after all selected workers finish. **Current behavior** One slow case holds back the report and upload jobs for all other cases. **Proposed behavior** Each finished case gets its own protected reader, safe projection, upload and backend verification. The final job checks the whole selection through read-only requests. It does not upload results again. **Reason and benefit** A person can inspect a completed grade and its safe evidence receipts while other cases run. This changes future runs. It does not change an in-flight run. ## What Changed - Add one same-commit reusable workflow with separate worker, private-reader and TestOps-upload jobs. Each job uses only its own protected environment. Callers pass empty named secret placeholders and do not inherit secrets. - Reuse the original exporter and grade checks. Freeze each case's three Allure JSON files once. Allow known sibling results during per-case readback. Keep final exact selection coverage. - Submit each bundle at most once. Reconcile uncertain responses by readback. Retain only closed publication, failure and upload-intent receipts. A rerun attempt still fails the existing attempt-one admission guard. - Preserve failed original grades, failed cleanup and missing evidence. No missing original can become a passing result. - Keep external-input cases in the serial lane. Small native-only selections allow two cases at once. Small mixed selections allow one native and one external case. Larger selections retain eight native cases and one external case. - Add source, privacy and failure controls to the existing unit roster. Document the reporting flow and runner-group admission requirement. - Fix an existing corruption-test fixture that could write the same byte back to a random IV. Read and flip one bit instead. Keep the storage rejection and unpublished-plaintext assertions unchanged. ## Verification - 152 focused Node controls pass across the shared client, API, selection, CLI and streaming tests. The retained parent controls show the missing multipart and partial-readback behavior, plus the small external-selection error before its fix. - The focused workflow security control passes. Actionlint passes for both workflows. Changed JavaScript files pass syntax checks. Git diff checks pass. - Local controls use synthetic data and mocked HTTP. They make no provider call and do not start an app, database or native build. - Previous head `b51406df` passed PR CI (48 jobs pass and one is skipped). The review-driven test-only successor `0c65cc21` then failed one unchanged snapshot-storage corruption test, plus the final CI summary. The latest head includes its narrow fixture repair. Its first CI attempt separately hit runner shutdown/lost-communication failures, two setup/timeouts and a heartbeat-cancel cleanup HTTP 500/lock timeout; those observations are retained without claiming their underlying cause. One same-head failed-and-cancelled-only recovery now passes at `bf9c3e8f`: 48 jobs pass and one is skipped, including required `ci / verify` and `ci / e2e`. All 31 already-passing jobs retained their original execution records; all 15 recovered leaves and both dependent summaries passed. The first attempt remains recorded; the recovery does not establish the underlying causes of those failures. A small AWS run after delivery must prove that one case and both attachments are visible before another original case ends. That live proof is pending; local controls do not prove vendor ingestion or environment-secret resolution. - Retained earlier fixture-calibration failures remain recorded. The final integrated Node control run is green. A deterministic Node crypto/filesystem control also reproduces the no-op corruption mutation with a valid IV byte equal to `X`, then passes after flipping that byte. This control uses no app or database. The failing CI byte was not captured, so the exact historical byte remains unknown. ## Risks - The called workflow needs its exact master ref in the existing selected-workflow runner group. No IAM role change is needed. - Environment-only secrets must resolve in the called jobs. The caller passes no actual model or reporting key. The small live proof must confirm this behavior. - TestOps does not document an idempotency key for this upload route. An uncertain write is never resent automatically. If readback cannot verify it, the workflow fails with retained closed receipts. - The existing job run can already be marked finished by the selection watch. The live proof must record its actual stage and prove subsequent uploads are accepted. This PR does not reopen, stop or close that job run. - Backend ingestion does not prove that an already-open TestOps page refreshes automatically. - The corruption-test repair changes no production storage or cryptography. New-head AWS CI must qualify the existing database-backed owner test. - Each case adds short protected reader and upload jobs. The app source, original case clocks, graders, model, budgets, raw-evidence privacy boundary and zero eval retries stay unchanged. The versioned stream concurrency group serializes new streaming runs; an old immutable batch run can continue in its original group. ## Model Used OpenAI `gpt-6.1-sol`, with tool use and code execution. The session does not expose a context-window size. Independent source peers used the same model family. ## 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>