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145d86911b |
Remove decision training UI (#11225)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The Decisions desk shows work that needs an operator response. > - It also exposed decision-training actions and a separate training library. > - Paperclip does not plan to use these training surfaces now. > - Keeping inactive controls makes the Decisions workflow harder to scan. > - This pull request removes the training UI and keeps the backend snapshot contract unchanged. > - The benefit is a smaller and clearer Decisions workflow without a data migration. ## Linked Issues or Issue Description **What existing behavior does this improve?** The Decisions desk currently exposes training controls, training state, and a separate training library route. **Subsystem affected** `ui/` — React and Vite board UI. **Current behavior** Operators can open a training library from the Decisions toolbar. They can also mark a decision for training from rows and inspect the result in a drawer. **Proposed behavior** Remove the training controls, badges, drawer, library pages, and routes from the Decisions UI. Keep the server APIs and stored training examples unchanged. **Reason and benefit** The product does not plan to use decision training now. Removing the unused surfaces reduces Decisions UI noise and avoids presenting a workflow that operators should not use. **Breaking changes** The `/decisions/training` UI routes are no longer registered. Existing server endpoints and stored decision-training data remain compatible. ## What Changed - Removed decision-training controls and state from Decisions toolbars, rows, queue pages, and shelves. - Removed the training drawer, library, inspector, API client, helpers, query keys, and routes. - Added route and row regressions that assert training UI does not return. - Updated the Decisions Storybook description to match the available controls. ## Verification - `pnpm exec vitest run ui/src/App.test.tsx ui/src/components/AttentionQueueRow.test.tsx` — 32 tests passed. - `pnpm check:token-gates` — all gates clean. - `pnpm -r typecheck` — passed. - `pnpm build` — passed. - `pnpm test:run` — server and UI partitions passed. The CLI partition had one environment-only failure because this agent runtime injects static AWS credentials. The exact CLI file passed all 8 tests when those credential variables were unset. - Searched `ui/src` and `ui/storybook` for the removed training routes, drawer, library, badges, and actions. Only negative regression assertions remain. ## Risks - Low implementation risk. This change deletes UI-only entry points and does not change the database or server APIs. - Saved training-page URLs no longer render a board route. This is the intended behavior. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used - OpenAI Codex, model `gpt-5.6-sol`, with `xhigh` reasoning. The runtime did not expose the context-window size. The agent used repository tools, shell execution, and automated tests. ## 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> |
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8e7f1c03eb |
feat(decisions): improve desk triage and queue parity (#10785)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work. > - The decisions desk and queue help operators find work that needs a human decision. > - The current views use different grouping, sorting, and labels. > - Repeated confirmation requests can also leave stale pending actions in the queue. > - Blocked-work attention can point at an intermediate issue instead of the terminal blocker. > - This pull request aligns the server contract and both user interfaces. > - The benefit is a smaller, clearer queue that ranks the decisions with the largest impact. ## Linked Issues or Issue Description Related PR: #10774 **What existing behavior does this improve?** The decisions desk and queue currently use different triage rules. They can show stale repeated confirmations and can rank blocked work by an intermediate issue. **Subsystem affected** This change affects attention aggregation, issue thread interactions, shared attention contracts, and the decisions user interface. **Current behavior** The desk uses a can-wait group that has no clear arrival meaning. The queue has fewer controls than the desk. Repeated pending confirmations remain actionable. Blocked-work rows do not always identify the terminal actionable blocker. **Proposed behavior** Group desk items by arrival date, and reserve Decide now for explicit due dates. Use one toolbar and shelf model on both pages. Supersede older repeated pending confirmations. Aggregate blocked work under the terminal actionable blocker and rank it by impact. **Reason and benefit** Operators get one consistent triage model. The badge reflects new and overdue work. High-impact blockers move to the top. Duplicate confirmation work no longer consumes attention. **Breaking changes** The attention summary field `decideNowCount` changes to `deskBadgeCount`. Consumers must use the new field. Older repeated confirmation interactions can now finish with the `superseded_by_newer_request` outcome. ## What Changed - Supersede older pending confirmation requests for the same issue and record the mutation in activity history. - Resolve blocked-work attention to actionable terminal blockers, suppress live blocker trees, and rank rows by blocked-work impact. - Group the decisions desk into New today and Earlier, and count new plus overdue work in the desk badge. - Share the decision toolbar and shelf components across the desk and queue. - Add queue grouping, sorting, filtering, aging, visible training controls, and clearer recommendation copy. - Add server, shared-contract, and user-interface tests for the new behavior. ## Verification - `pnpm check:token-gates` - `pnpm -r typecheck` - `env -u AWS_ACCESS_KEY_ID -u AWS_SECRET_ACCESS_KEY pnpm test:run` (all server, UI, CLI, shared, and catalog tests passed; one fixed five-second DB timeout flaked under full-suite load) - `NODE_ENV=test pnpm --filter @paperclipai/db exec vitest run src/status-card-migrations.test.ts` (passed in isolation) - `pnpm build` ## Risks - The attention summary field rename requires synchronized consumers. - Terminal-blocker traversal uses cycle and depth guards. A malformed dependency graph can stop at the last safe node. - The new arrival grouping changes which items contribute to the decisions badge. - Superseding repeated confirmations changes the terminal state of older pending interactions. > For core feature work, check [`ROADMAP.md`](ROADMAP.md) first and discuss it in `#dev` before opening the PR. Feature PRs that overlap with planned core work may need to be redirected — check the roadmap first. See `CONTRIBUTING.md`. ## Model Used OpenAI Codex with GPT-5. The runtime did not expose a dated model snapshot or context-window size. The model used reasoning, repository tools, code execution, and test execution. ## 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> |