Croissant Le Doux 9cedd8646e feat: lifecycle inference from the issue timeline (#5)
Fill the board's Steeping / In-review columns (and the calibration actuals)
from real gitea timeline events, replacing the three-column-only v0.

core (@commitea/core):
- inferLifecycle(issue, events, asOf): five-column inference — closed → done;
  open PR ref → review; commit ref → steeping; any triage signal → triage;
  else diagnosis. Earliest event of each kind fixes the stage timestamp.
- Derives actualWorkingDays (work-start → close) — the estimate-vs-actual the
  calibration fit (D3) learns from — and steepingDays (first commit → now) for
  the board age badge.
- workingDaysBetween(): whole Mon–Fri days in [start, end), day-granular.
- normalizeTimeline() + client.getIssueTimeline(): map gitea's raw timeline
  (label/milestone → triage, commit_ref → commit, pull_ref → pull, close,
  reopen), drop the rest. Paginated.

app:
- reconcile now fetches every issue's timeline and returns it keyed by number;
  threaded through the bridge → useBacklog → board/focus.
- issuesToBoardColumns + scheduleFocus run inferLifecycle: real Steeping/In-review
  columns, steeping-age `days` badge, focus-card steeping badge.

Known refinement: gitea's pull_ref fires on any PR mention, so an issue merely
referenced in a PR body can read as In-review; distinguishing closing refs from
mentions needs the PR link's state (later). Re-opening multi-segment actuals
also deferred.

Verified: 63 core tests green (15 lifecycle, incl. workingDaysBetween + the five
transitions), desktop typecheck clean, 14 fixture e2e green, live spec asserts
the board's Done column is populated from real events.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-08 19:42:46 -04:00

CommiTea

AI project manager built on Gitea. A deterministic scheduler does the math (Monte Carlo forecasts over your own estimate-vs-actual history); the agent — Reginald — captures work via interview, negotiates priorities, and explains the consequences. Gitea holds human-authored intent; a pm-state repo holds machine-derived state. The LLM never does math.

Structure

  • apps/desktop — Electron app (electron-vite, React, Tailwind)
  • packages/core — pure TypeScript: label schema, scheduler, gitea client (no Electron imports)
  • docs/PLAN.md — product plan (goals, phases, not-doing list)
  • docs/design/ — design handoff: tokens, component contracts, interactive prototype (docs/design/ui_kits/app/index.html via a static server), brand voice rules in design_system_readme.md

Development

yarn            # install
yarn dev        # electron app, logs tee to apps/desktop/desktop.log
yarn test       # unit tests (vitest)
yarn typecheck

End-to-end (Electron + Playwright)

yarn workspace @commitea/desktop e2e        # build, then drive the built app
yarn workspace @commitea/desktop e2e:only   # reuse existing out/ build (tight loop)
yarn workspace @commitea/desktop e2e:report # open the last HTML report

Tests launch the built app (out/main/index.js) through Playwright's _electron API — no browser project, no chromium download. Fixtures and page objects live in apps/desktop/e2e/; screenshots land in e2e/.artifacts/screens/ for visual review. Page objects use user-facing locators (getByRole/getByText), never CSS/DOM structure.

Conventions

  • Yarn 4 workspaces; ESM everywhere; .js extensions on relative imports
  • @commitea/core stays pure — unit-testable without Electron or network
  • Design tokens are the source of truth (apps/desktop/src/renderer/src/design/, mirrored from docs/design/); Tailwind maps onto the CSS custom properties, never redefines them
  • Reginald's voice rules live in docs/design/design_system_readme.md — no emoji, no point-date forecasts, wit in sentences never in buttons
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