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>
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@@ -1,12 +1,10 @@
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/**
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* Lifecycle inference, v0 — the coarse column an issue sits in, derived from
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* *only* what a single issues-list read gives us (state, labels, milestone).
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* Lifecycle inference.
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*
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* The real five-column inference (P1-5) needs the issue timeline: first
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* branch/commit ref → Steeping, PR opened → In review, PR merged → Deploy.
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* Until that lands, v0 can only place three columns honestly; `steeping` and
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* `review` stay empty rather than guess. Board renders all five columns and
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* fills the middle two once the event stream is available.
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* `inferColumnV0` places the coarse three columns from a single issues-list
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* read (state/labels/milestone). `inferLifecycle` (#5) adds the issue timeline:
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* first commit ref → Steeping, first PR ref → In review, close → Done — and
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* derives the estimate-vs-actual working time that feeds calibration (D3).
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*/
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import type { GiteaIssue } from '../gitea/types.js'
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@@ -23,10 +21,109 @@ export const LIFECYCLE_COLUMNS: readonly LifecycleColumn[] = [
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/**
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* Closed → done. Open with any human intent applied (a label or a milestone)
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* → triage. Open and bare → diagnosis. Never returns steeping/review in v0.
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* → triage. Open and bare → diagnosis. Never returns steeping/review — that's
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* `inferLifecycle`, which reads the event stream.
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*/
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export function inferColumnV0(issue: Pick<GiteaIssue, 'state' | 'labels' | 'milestone'>): LifecycleColumn {
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if (issue.state === 'closed') return 'done'
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const hasIntent = issue.labels.length > 0 || issue.milestone !== null
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return hasIntent ? 'triage' : 'diagnosis'
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}
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/** A timeline signal, normalized from gitea's raw event stream. */
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export type LifecycleEventType = 'triage' | 'commit' | 'pull' | 'close' | 'reopen'
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export interface LifecycleEvent {
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type: LifecycleEventType
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/** ISO timestamp. */
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at: string
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}
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/** Timestamps for the stages an issue has reached (absent = not yet reached). */
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export interface LifecycleStages {
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opened: string
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/** First label / milestone / assignment. */
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triaged?: string
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/** First commit referencing the issue — work began. */
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steeping?: string
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/** First PR referencing the issue — in review. */
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review?: string
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/** Closed. */
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done?: string
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}
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export interface LifecycleInference {
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column: LifecycleColumn
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stages: LifecycleStages
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/**
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* Working days from work-start (steeping → triaged → opened, first available)
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* to done. Only for closed issues — this is the "actual" calibration learns
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* from. null while open.
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*/
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actualWorkingDays: number | null
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/** Working days the issue has been steeping (first commit → asOf); null unless currently steeping. */
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steepingDays: number | null
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}
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const DAY_MS = 86_400_000
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/**
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* Whole working days (Mon–Fri) in the half-open interval [start, end). Same day
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* or reversed → 0. Day-granular by design — estimates are in days.
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*/
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export function workingDaysBetween(start: Date, end: Date): number {
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const s = Date.UTC(start.getUTCFullYear(), start.getUTCMonth(), start.getUTCDate())
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const e = Date.UTC(end.getUTCFullYear(), end.getUTCMonth(), end.getUTCDate())
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if (e <= s) return 0
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let count = 0
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for (let t = s; t < e; t += DAY_MS) {
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const dow = new Date(t).getUTCDay()
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if (dow !== 0 && dow !== 6) count += 1
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}
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return count
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}
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/**
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* The five-column inference. Column reflects the furthest stage still in play:
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* closed → done; else an open PR ref → review; else a commit ref → steeping;
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* else any triage signal (or a current label/milestone) → triage; else
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* diagnosis. Stage timestamps are the earliest event of each kind.
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*/
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export function inferLifecycle(
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issue: Pick<GiteaIssue, 'state' | 'labels' | 'milestone' | 'createdAt' | 'closedAt'>,
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events: LifecycleEvent[],
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asOf: Date,
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): LifecycleInference {
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const sorted = [...events].sort((a, b) => a.at.localeCompare(b.at))
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const firstOf = (type: LifecycleEventType) => sorted.find((e) => e.type === type)?.at
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const stages: LifecycleStages = { opened: issue.createdAt }
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const triagedAt = firstOf('triage')
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const steepingAt = firstOf('commit')
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const reviewAt = firstOf('pull')
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if (triagedAt) stages.triaged = triagedAt
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if (steepingAt) stages.steeping = steepingAt
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if (reviewAt) stages.review = reviewAt
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const doneAt = issue.state === 'closed' ? (issue.closedAt ?? firstOf('close')) : undefined
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if (doneAt) stages.done = doneAt
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let column: LifecycleColumn
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if (issue.state === 'closed') column = 'done'
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else if (reviewAt) column = 'review'
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else if (steepingAt) column = 'steeping'
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else if (triagedAt || issue.labels.length > 0 || issue.milestone !== null) column = 'triage'
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else column = 'diagnosis'
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let actualWorkingDays: number | null = null
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if (stages.done) {
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const start = stages.steeping ?? stages.triaged ?? stages.opened
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actualWorkingDays = workingDaysBetween(new Date(start), new Date(stages.done))
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}
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let steepingDays: number | null = null
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if (column === 'steeping' && stages.steeping) {
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steepingDays = workingDaysBetween(new Date(stages.steeping), asOf)
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}
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return { column, stages, actualWorkingDays, steepingDays }
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}
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