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ea0e899905 |
fix(search): honor extract match limits + harden pr-gardening candidate discovery (#9652)
## Thinking Path
> - Paperclip is the open source app people use to manage AI agents for
work
> - The `/pr-gardening` skill drives a bundled agent that scans a
company's issues for those linked to open GitHub PRs, then reports on
their state; it relies on the server's company-search **extract**
endpoint to pull PR references out of issue bodies
> - Two gaps surfaced during end-to-end QA of the gardening workflow:
the extract service silently ignored a per-issue match cap, so callers
could not bound how many matches came back per issue, and the skill's
candidate-discovery scripts fell over on large repos and on issues that
referenced deleted PRs
> - Left unaddressed, the gardener either truncated its scan
unpredictably or aborted outright, so it could not reliably enumerate PR
candidates
> - This pull request honors an explicit `matchesPerIssue` limit in the
extract search API and hardens the skill's candidate discovery against
missing/unavailable PRs and oversized `gh` output
> - The benefit is a PR-gardening workflow that scans deterministically
and finishes cleanly on real-world companies
## Linked Issues or Issue Description
No pre-existing public GitHub issue — describing the bug in-PR following
the bug report template (`.github/ISSUE_TEMPLATE/bug_report.yml`).
### What happened?
The company-search extract endpoint accepted a per-issue match limit but
did not apply it, returning matches capped only by the old hardcoded
constant regardless of the caller's request. Separately, the
`/pr-gardening` skill's candidate-discovery scripts crashed when a
scanned issue referenced a deleted PR (GitHub `Not Found (HTTP 404)` /
GraphQL `Could not resolve to a PullRequest`) and could exceed the
default `gh` output buffer on large result sets, aborting the whole
scan.
### Expected behavior
The extract API bounds matches per issue when a caller passes
`matchesPerIssue` (default 20, max 200), and omitting it preserves the
previous default. The gardening scripts skip PRs that are
deleted/unavailable and tolerate large `gh` responses without aborting
the scan.
### Steps to reproduce
1. Call the company-search extract endpoint with a `matchesPerIssue`
value against an issue containing many PR references — previously the
value was ignored.
2. Run the pr-gardening candidate scan against a company whose issues
reference a since-deleted PR — previously the scan threw instead of
skipping that PR.
### Paperclip version or commit
`master` at the base of this PR (branch cut from current
`origin/master`).
### Deployment mode
Local Paperclip instance / self-hosted.
## What Changed
- **Extract search honors `matchesPerIssue`**: added the
`matchesPerIssue` field to the shared search validator/types and applied
the cap in `company-search-extract` so results are bounded per issue
(`packages/shared`, `server/src/services/company-search-extract.ts`,
`doc/SPEC-implementation.md`).
- **Hardened pr-gardening candidate discovery**: `find-candidates.mjs` /
`lib.mjs` now request `matchesPerIssue=200`, treat missing/unavailable
PRs (deleted PR → `isMissingPullRequestError` / `unavailable`) as skips
instead of fatal errors, and raise the `gh` `maxBuffer` to 50 MB for
large repos.
- **Tests**: expanded `company-search-extract-{routes,service}.test.ts`
for the new limit and added coverage in `pr-gardening.test.mjs`.
## Verification
Re-run on a fresh worktree cherry-picked onto current `master`:
- `node --test
.agents/skills/pr-gardening/scripts/pr-gardening.test.mjs` → 8/8 pass
- `pnpm vitest run
server/src/__tests__/company-search-extract-routes.test.ts
server/src/__tests__/company-search-extract-service.test.ts` → 10/10
pass
## Risks
Low risk. `matchesPerIssue` is optional and backward-compatible
(omitting it preserves prior behavior). The skill changes only add
skip/tolerance paths and a larger buffer; no schema or migration
changes.
## Model Used
Claude — Opus 4.8 (`claude-opus-4-8`), extended thinking, tool use /
code execution via the Claude Agent SDK.
## 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
- [ ] All Paperclip CI gates are green
- [ ] 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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ae77908618 |
feat(search): add bulk extract endpoint (#9507)
## Thinking Path > - Paperclip is the open source control plane people use to coordinate AI-agent companies > - Agents and operators need company-scoped search to discover relevant issue history safely > - The interactive search endpoint intentionally returns compact excerpts and low pagination caps for UI use > - Automation that inventories repeated references, such as pull-request URLs, needs exhaustive distinct matches without loading full issue objects into an LLM context > - Client-provided regular expressions would create an unsafe and expensive query surface, so extraction must remain literal with server-owned expansion modes > - This pull request adds a bounded agent-oriented extraction endpoint with explicit truncation > - The benefit is deterministic, compact bulk discovery across issues, comments, and documents while preserving company authorization and rate limits ## Linked Issues or Issue Description ### Subsystem affected `server/` REST API and `packages/shared/` contracts. ### Problem or motivation The existing interactive company search caps issue pagination and snippets, so automation cannot reliably enumerate every distinct literal or pull-request URL across issue descriptions, comments, and linked documents without fetching large full issue payloads. ### Proposed solution Add `GET /api/companies/:companyId/search/extract` with escaped literal matching, optional server-owned URL token expansion, issue/comment/document scopes, status/date filters, higher issue-level pagination caps, compact source references, and explicit pagination/match truncation flags. ### Alternatives considered Reusing `GET /issues?q=` would return unnecessarily large issue objects; increasing interactive-search snippet limits would make the UI API heavier; accepting arbitrary client regex would expose avoidable database cost and ReDoS risk. ### Roadmap alignment `ROADMAP.md` does not currently list a conflicting company-search or bulk-extraction initiative. GitHub searches found no directly duplicative open issue or pull request. ## What Changed - Added shared query validation and response contracts for literal and URL extraction. - Added a company-scoped extraction service that pages issues, gathers matching issue/comment/document sources, expands URL tokens, deduplicates values, and reports truncation explicitly. - Added the authenticated route using the existing company-search authorization decision and rate limiter. - Added targeted Vitest coverage for URL extraction, multi-source dedupe, date/status filters, match caps, cross-company denial, and rate limiting. - Documented the extraction surface in the implementation specification. ## Verification - `pnpm exec vitest run server/src/__tests__/company-search-extract-service.test.ts server/src/__tests__/company-search-extract-routes.test.ts server/src/__tests__/company-search-rate-limit-routes.test.ts server/src/__tests__/company-search-service.test.ts` — 30 tests passed. - `pnpm --filter @paperclipai/shared typecheck` — passed. - `pnpm --filter @paperclipai/server typecheck` — passed. - `git diff --check` — passed. ## Risks - Bulk substring search can scan large text columns. The endpoint mitigates this with a minimum literal length, bounded issue pagination, a 20-distinct-match cap per issue, explicit truncation, existing company-search rate limiting, and no client-provided regex. - URL expansion uses a fixed server-owned pattern plus an escaped literal. A security review is requested as part of PR review to confirm the pattern and abuse controls. - No database migration or existing API response shape changes are included. > 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 CLI coding agent; exact runtime model ID and context-window size were not exposed to the session. Tool-enabled code execution and repository editing were used with medium reasoning effort. ## 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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606aa4f266 |
feat(search): filters, sorting, operators & command-palette parity (#9327)
## Thinking Path > - Paperclip is the open source app people use to manage AI agents for work > - Company search is the primary way operators find issues, comments, documents, artifacts, agents, and projects across a busy company > - Search previously supported only a bare text query: no way to narrow by status/assignee/project/label/date, no sort control, no typed operators, and weak relevance/snippets meant hunting through noise > - As companies accumulate tens of thousands of items, unfiltered single-sort search stops scaling for day-to-day operator workflows > - This pull request adds a full filtering model (filter bar, chips, mobile sheet, URL state), sort modes, typed query operators (`status:`, `assignee:`, `type:`, …) with command-palette parity, relevance/snippet/deep-link improvements, zero-results recovery, and the supporting shared validators, backend service work, and DB indexes > - The benefit is that operators can go from a vague query to the exact item in a couple of keystrokes, on desktop and mobile, with shareable filtered-search URLs ## Linked Issues or Issue Description No existing public GitHub issue; describing the underlying feature request inline (per feature_request template): - **Problem:** Company search accepted only a plain text query. Users could not filter results by status, assignee, project, label, or recency; could not change result ordering; and got no guidance when filters emptied the result set. - **Desired solution:** Structured search filters (UI controls + typed query operators + URL parameters), selectable sort modes, better relevance and snippets with exact deep links, and parity between the search page and the command palette. - **Alternatives considered:** Client-side filtering of unfiltered results (does not scale past the fetch limit); a separate "advanced search" page (splits the surface and duplicates state handling). Related (not duplicate) PRs found while searching: #4848 (issue search query planning), #8235 (search rate limiting). ## What Changed - **Shared contract:** new search filter/sort/count/zero-results types and validators in `packages/shared` (`validators/search.ts`, types index). - **Backend:** `server/src/services/company-search.ts` supports issue filters, sort modes, per-filter option counts, snippets, artifact visibility, and zero-results loosen suggestions; single-statement match replaces per-scope scans and predicates are trigram-index compatible (~3.7s → ~350ms on a live 14.8k-hit corpus). - **DB:** migration `0142_company_search_sort_indexes.sql` adds the supporting indexes. - **Search page (`ui/src/pages/Search.tsx`):** filter bar, removable chips, mobile filter sheet with result-count preview, sort menu, URL round-tripping, zero-results recovery UI. - **Query operators (`ui/src/lib/search-query-parser.ts`):** typed operators parsed into filters, operator autocomplete, filter pills. - **Command palette:** operator-aware parsing and full-search handoff. - **Stale-operator fix (latest commit):** typed operator filters are no longer folded into persistent URL-filter state, so deleting a token (e.g. removing `status:blocked` from the input) actually removes the filter from subsequent requests; filter-control edits materialize control state and strip typed tokens so a removed chip cannot resurrect from the input. ## Verification - `cd ui && npx vitest run src/pages/Search.test.tsx` — 19 tests including two new red→green regressions for the stale-operator paths (both fail on the previous commit, pass now). - `cd ui && npx vitest run src/components/CommandPalette.test.tsx` and `cd server && npx vitest run src/services/company-search-service.test.ts` — operator parity and backend filter/sort/count coverage. - `cd ui && npx tsc --noEmit` — clean. - Manual: open `/search`, type `auth status:blocked`, confirm the status filter applies; delete `status:blocked`, confirm results are unfiltered again; drive the same filters from the filter bar/chips/mobile sheet and confirm the URL round-trips (reload/back/forward preserves state). - Full end-to-end QA pass (9/9 acceptance checks) against the wireframes on desktop (1280px) and mobile (390px) with a live API and browser automation. ## Risks - Additive migration (indexes only, no data rewrites) — safe to roll forward; index creation cost is paid once at migrate time. - Search request shape gains optional parameters only; old clients keep working. - Behavioral shift: filter-control edits now strip typed operator tokens from the query text (their values persist as filter state) — deliberate, so removed filters stay removed. - Ranking changes alter result ordering for existing queries; covered by service tests and the QA pass. > 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 - Claude Fable 5 (`claude-fable-5`, Anthropic, extended thinking + tool use) — stale-operator-filter fix, regression tests, PR preparation. - GPT-5 Codex (`codex_local` adapter) and Claude Opus 4.6 (`claude-opus-4-6`) — earlier implementation phases (backend contract, filter UI, operators, ranking) under agent orchestration. ## 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) - [ ] My branch name describes the change (e.g. `docs/...`, `fix/...`) and contains no internal Paperclip ticket id or instance-derived details — pre-existing branch name retained to avoid closing/reopening the PR - [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 (no user-facing docs affected) - [x] I have considered and documented any risks above - [ ] All Paperclip CI gates are green (pending re-run on latest commit) - [ ] Greptile is 5/5 with no open P2s, recommendations, or follow-ups (pending re-review of the stale-filter fix) - [x] I will address all Greptile and reviewer comments before requesting merge 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Paperclip <noreply@paperclip.ing> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> |
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320fd5d23b |
Add full company search page (#5293)
## Thinking Path > - Paperclip orchestrates AI agents for zero-human companies. > - Operators need to find work, documents, agents, projects, comments, and activity across a company without jumping through separate surfaces. > - The existing Command-K flow was useful for fast navigation but not enough for deeper company-wide discovery. > - Search also needs company-scoped backend contracts, query cost controls, and indexed document matching so it stays safe as company data grows. > - This pull request adds a full company search API and a dedicated board search page that Command-K can hand off to. > - The benefit is a single searchable control-plane surface with richer result context, recents, highlights, and test coverage across server and UI behavior. ## What Changed - Added a company-scoped search endpoint/service with query validation, rate limiting, text matching, fuzzy title matching, and result typing shared through `@paperclipai/shared`. - Added idempotent search migrations for document search indexes and fuzzy matching support. - Added the full `/companies/:companyKey/search` UI, search result row components, highlighted snippets, recent searches, and sidebar/Command-K handoff. - Added Storybook coverage for search surfaces and Vitest coverage for server search behavior, rate limiting, route generation, Command-K behavior, and the search page. - Addressed Greptile findings by renaming the no-match SQL helper, applying search pagination after cross-type merge sorting, and lazy-initializing the default search service so unrelated route-test mocks do not need to know about it. - Merged current `public-gh/master` and renumbered the search migrations behind upstream `0078_white_darwin`: search indexes are now `0079_company_search_document_indexes` and fuzzy matching is `0080_company_search_fuzzystrmatch`. ## Verification - `git fetch public-gh master` - `git diff --check public-gh/master...HEAD` - `git diff --name-only public-gh/master...HEAD | rg '^pnpm-lock\.yaml$' || true` produced no output before opening the PR. - `pnpm run preflight:workspace-links && pnpm exec vitest run server/src/__tests__/company-search-service.test.ts server/src/__tests__/company-search-rate-limit-routes.test.ts ui/src/pages/Search.test.tsx ui/src/components/CommandPalette.test.tsx ui/src/lib/company-routes.test.ts` passed: 5 files, 25 tests. - `pnpm --filter @paperclipai/shared typecheck && pnpm --filter @paperclipai/db typecheck && pnpm --filter @paperclipai/server typecheck && pnpm --filter @paperclipai/ui typecheck` passed. - `pnpm exec vitest run server/src/__tests__/company-search-service.test.ts server/src/__tests__/company-search-rate-limit-routes.test.ts && pnpm --filter @paperclipai/server typecheck` passed after Greptile pagination fixes. - `pnpm exec vitest run server/src/__tests__/issue-agent-mutation-ownership-routes.test.ts server/src/__tests__/company-search-rate-limit-routes.test.ts server/src/__tests__/company-search-service.test.ts && pnpm --filter @paperclipai/server typecheck` passed after the CI mock fix. - After resolving the migration conflict with current `public-gh/master`: `pnpm --filter @paperclipai/db typecheck && pnpm exec vitest run server/src/__tests__/company-search-service.test.ts server/src/__tests__/company-search-rate-limit-routes.test.ts && pnpm --filter @paperclipai/server typecheck` passed. - DB migration numbering check passed as part of `@paperclipai/db` typecheck. - UI states are covered by the added Storybook stories in `ui/storybook/stories/search.stories.tsx`. - GitHub reports the PR merge state as `CLEAN` on head `18e54fa8`. - GitHub PR checks are green on head `18e54fa8`: policy, verify, serialized server shards 1/4 through 4/4, e2e, canary dry run, Snyk, and Greptile Review. ## Risks - Search ranking and snippets are new user-facing behavior, so reviewers should check whether result ordering feels right on real company data. - Search touches broad company data, so company scoping and query cost/rate-limit behavior should be reviewed carefully. - The migrations add search indexes/extensions; they are idempotent with `IF NOT EXISTS` for users who may have applied an earlier branch migration number. > ROADMAP.md checked. This PR adds a focused board search surface and does not duplicate an open roadmap item. ## Model Used - OpenAI Codex, GPT-5 coding agent, tool-enabled shell/git/GitHub CLI session with medium reasoning effort. Existing branch commits were produced across prior agent sessions; this packaging pass verified, opened the PR, addressed Greptile findings, resolved migration conflicts after upstream PRs landed, and got PR checks green. ## 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 run tests locally and they pass - [x] I have added or updated tests where applicable - [x] If this change affects the UI, I have included before/after screenshots - [x] I have updated relevant documentation to reflect my changes - [x] I have considered and documented any risks above - [x] I will address all Greptile and reviewer comments before requesting merge --------- Co-authored-by: Paperclip <noreply@paperclip.ing> Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com> |