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## Thinking Path > - Paperclip helps people manage AI agents and their work. > - People switch between agent chats to read replies. > - The agent picker does not show how many messages are unread. > - People need that count before they select a chat. > - The chat list already has the viewer's read state. > - This pull request adds numeric badges from that shared list. > - People can find unread replies without extra requests for each agent. ## Linked Issues or Issue Description **What existing behavior does this improve?** The chat header agent picker and the secondary sidebar's Add chat picker. **Subsystem affected** Agent Chat UI, shared task types, and the chat read-state service. **Current behavior** The pickers do not show the unread message count for each agent. **Proposed behavior** Show the unread count beside each agent. For example, show 3 for three unread agent messages. Hide the badge when the count is zero. Keep switching available while chat data loads. **Reason and benefit** People can see which chats need attention before they switch. The count uses the existing shared request and cache. **Breaking changes** The chat response gains an optional `unreadMessageCount` field. Existing fields and read receipts keep their behavior. There is no database migration. **Additional context** Related: #19425 changes chat structure. This change adds counts to the current agent pickers. The duplicate search found no PR for these count badges. ## What Changed - Count unread agent comments in the existing grouped read-state query. Keep company and viewer scope. - Exclude human messages, deleted comments, system notices, and fast-response receipts. - Pass memoized count maps to both agent pickers. Use a direct lookup for each row. - Show numeric badges and accessible singular or plural labels. - Test count changes, account isolation, cached opens, search, and large agent lists. - Update the chat stories, fixture data, and development guide. - Make the Slack owner retry-deadline test deterministic after reproducing its CI failure. ## Verification - On current head `05f5fa6201`, the [main CI workflow](https://github.com/paperclipai/paperclip/actions/runs/42305845930) passed, including build, typecheck, all applicable test shards, browser shards, and final verification. The prior server shard 2, 6, and 7 failures do not recur. - [Greptile's current-head review](https://github.com/paperclipai/paperclip/pull/19627#issuecomment-6696161631) is 5/5, its check succeeded, and both previous review threads are resolved. Current head check inventory is complete: 55 successful checks, three intentional skips, and no pending or failed checks. The Paperclip application review summary reports paused; no new completed Paperclip review is claimed. Its existing findings are resolved, and the independent current-head Greptile review is 5/5. - Current head `05f5fa6201` merges master `8621bcf53e` to resolve an import conflict. Master now includes the same model-default test repair. This branch keeps its upstream import, so that file no longer differs from master. - After this merge: all 21 server tests in the Slack owner and model-default suites pass, all 22 tests in the three picker/sidebar suites pass, and token gates pass. The standard preflight still cannot build Rust because `cargo` is absent. Fresh CI must supply the broad checks. - Head `7d125fb8c7` replaces the Slack owner test's real timer wait with the worker's existing clock input. It checks that the intent stays pending one millisecond before the retry deadline and clears at the deadline. All 15 Slack owner integration tests pass locally. Runtime retry behavior is unchanged. - On `4cfb1e9d55`, both review checks gave 5/5. CI [server shard 2](https://github.com/paperclipai/paperclip/actions/runs/42302458830/job/128183671349) failed the Slack credential-lease retry test. The same assertion failed in an unchanged local run. A diagnostic run with added logging passed; the exact timer deviation was not captured. The new test removes the real-time wait assumption and checks the clock boundary directly. The earlier model-default and cleanup failures did not recur in that CI run. - On `a3378dfc40`, both Greptile and Paperclip Review gave 5/5 with no open findings. Typecheck, build, all eight browser shards, and most test shards passed. - That CI attempt failed two server shards. The model-default test still expected `gpt-5.6-sol`, while the current default is `gpt-6.1-sol`. I reproduced both failures locally. Commit `4cfb1e9d55` uses the exported default-model constant; all six tests in that suite now pass. Production model selection does not change. - The retained-cleanup backlog test exceeded its 15-second limit in [server shard 6](https://github.com/paperclipai/paperclip/actions/runs/42299858777/job/128175193320). The unchanged test passes locally with the same limit. Its CI timeout cause is not established. No assertion or timeout was changed. The fresh CI run must recheck it. - Review repair: commit `0db631b215` keeps the existing-chat and unread-agent arrays stable when chat data and the active agent do not change. A new 500-agent test fails before the repair and passes after it. The test also checks count refreshes. - The first CI typecheck failed on duplicate `IMAGE_ONLY` and `TESTOPS_REQUESTED` keys in `tests/runner-e2e/workflow-target.test.ts`. This was present in upstream code. Master commit `e482f0f632` removes the duplicate keys. This branch now includes that commit. All nine workflow-target tests pass locally. - After the latest master merge: all 22 tests in the three affected picker/sidebar suites pass. Before that merge, all 38 focused UI tests passed. - The current head is `05f5fa620134ad199a3d85b66fb2eb93d3bb6077`. All current status checks are complete, the aggregate verify gate succeeds, mergeability is CLEAN, and no unresolved review threads remain. The maintainer has instructed normal merge after checks pass. - After merging current master: 37 focused UI tests pass across AgentChatPicker, CoordinatorAgentSwitcher, AgentConversationsSidebar, useAgentChatRead, and SidebarAgentChats. - After merging current master: all 38 proactive-chat integration tests pass with a real disposable PostgreSQL database. They check counts of 2, 1, and 0 at exact read cutoffs. - The prior revision passed UI typecheck and build, shared build, isolated low-memory server typecheck, token gates, and 30 map/catalog tests. - The 500-agent test bounds index work and count lookups. Search does not rebuild the existing-chat index. - Browser checks used production components with simulated API data. Dark, light, mobile, and Add chat cases passed. Counts of 3 and 12 stayed visible through search. Read agents had no badge. Cached opens made no chat API requests. - Twenty local cached opens took 34.5–57.6 ms, with a 38.4 ms median. This is an unthrottled fixture measurement. - Earlier full local checks could not complete because Rust cargo is absent and the workspace has limited memory. The standard worktree preflight also stops at missing cargo. Required CI must supply broad checks for this PR head. - The first server typecheck ran out of memory while Storybook was active. Its isolated low-memory retry passed. No visual baseline comparison or live provider delivery is claimed. ## Risks - Low risk. The count replaces a boolean aggregate in the same grouped query. Very long chat histories still need that existing scan. - A count can be stale until the existing chat-list cache refreshes. Read receipts still control the unread cutoff. - The change adds no polling, per-agent history request, database migration, or permission change. ## Model Used OpenAI GPT-6 through Codex, with code editing, terminal tools, and browser verification. The runtime did not expose a more specific served model ID or context-window size. ## 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>
23 lines
1.6 KiB
TypeScript
23 lines
1.6 KiB
TypeScript
import { and, eq, inArray, sql } from "drizzle-orm";
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import { issueComments, issueReadStates, type Db } from "@paperclipai/db";
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export async function withConversationReadState<T extends { id: string }>(db: Db, companyId: string, userId: string, conversations: T[]) {
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if (!conversations.length) return [] as Array<T & { isUnreadForMe: boolean; unreadMessageCount: number; lastExternalCommentAt: Date | null }>;
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const rows = await db.select({
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issueId: issueComments.issueId,
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latest: sql<Date>`max(${issueComments.createdAt})`,
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unreadMessageCount: sql<number>`count(*) filter (where ${issueComments.createdAt} > coalesce(${issueReadStates.lastReadAt}, to_timestamp(0)))`.mapWith(Number),
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}).from(issueComments).leftJoin(issueReadStates, and(
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eq(issueReadStates.companyId, companyId), eq(issueReadStates.issueId, issueComments.issueId), eq(issueReadStates.userId, userId),
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)).where(and(eq(issueComments.companyId, companyId), inArray(issueComments.issueId, conversations.map(chat => chat.id)),
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sql`${issueComments.deletedAt} is null`, sql`${issueComments.authorAgentId} is not null`,
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sql`${issueComments.authorType} is distinct from 'system'`,
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sql`${issueComments.presentation} ->> 'kind' is distinct from 'system_notice'`,
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eq(issueComments.origin, "comment"),
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)).groupBy(issueComments.issueId);
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const byId = new Map(rows.map(row => [row.issueId, row]));
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return conversations.map(chat => ({ ...chat, isUnreadForMe: (byId.get(chat.id)?.unreadMessageCount ?? 0) > 0,
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unreadMessageCount: byId.get(chat.id)?.unreadMessageCount ?? 0,
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lastExternalCommentAt: byId.get(chat.id)?.latest ?? null }));
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}
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