feat: per-project workflow settings, statistics and "my work" home
Per-project settings (owners/admins, «Configuración» tab):
- Statuses with category (TODO, IN_PROGRESS, QA, DONE, CANCELLED), colour and
"requires reason"; configurable transitions; ticket types (icon, colour) and
areas. Defaults are the previous fixed values; projects created before keep
them without migration.
- Values are archived, never deleted: tickets, history and statistics keep
referring to them. Validated in the domain (ProjectSettingsChangedEvent).
- Releases, board, tracking and "my work" use categories, so custom statuses
keep working. Status changes carry name/category metadata for history.
- GraphQL: status/type/area are strings (breaking for clients sending enum
literals); Project.settings, updateProjectSettings, statusCategory,
myIssues(categories). REST: PUT /projects/{project}/settings, category filters.
- Read model: statusCategory on issues (backfilled at startup).
Statistics («Estadísticas» tab):
- New issue_timeline projection; pure functions compute created vs resolved,
cumulative flow, cycle/lead time (avg + p85), throughput per person, QA
pass/fail and release burnup. GraphQL Project.analytics(days),
Release.burnup; REST /projects/{project}/analytics, /releases/{id}/burnup.
- Web: SVG charts with validated light/dark palette, crosshair tooltip,
keyboard navigation, legend and data table.
Home "Mi trabajo": my open tickets across projects grouped by category (QA
failures first), tickets waiting for QA, upcoming releases and "Ir a…".
Tests: domain/application specs, e2e scenario for settings and analytics,
facade tests. Docs, READMEs, schema.gql/openapi.json and Word/PDF updated.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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import { StatusCategory } from '../project/project-settings';
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import { UserRefReadModel } from './user-ref.read-model';
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/**
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* One step in a ticket's life (projected from its events): the raw material
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* of the statistics. `status` entries record where the ticket went (with the
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* category it had then), `release` entries which release it joined or left.
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*/
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export class IssueTimelineEntry {
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/** Id of the event that produced it (projection is idempotent). */
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id!: string;
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issueId!: string;
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projectId!: string;
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at!: string;
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kind!: 'status' | 'release';
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status?: string;
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category?: StatusCategory;
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/** Assignee when the status changed (throughput per person). */
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assigneeId?: string | null;
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releaseId?: string | null;
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}
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export class DurationStats {
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count!: number;
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averageDays!: number | null;
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/** 85th percentile: "85% of tickets take at most this long". */
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p85Days!: number | null;
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}
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/** Statistics of a project over a period. */
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export class ProjectAnalyticsReadModel {
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from!: string;
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to!: string;
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/** Per week (Monday): tickets created and tickets finished. */
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createdVsResolved!: { week: string; created: number; resolved: number }[];
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/** Tickets in each status at the end of every day (cumulative flow). */
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cumulativeFlow!: {
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dates: string[];
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series: { status: string; counts: number[] }[];
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};
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/** From starting work to done. */
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cycleTime!: DurationStats;
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/** From creation to done. */
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leadTime!: DurationStats;
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/** Tickets finished per person and week. */
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throughput!: { week: string; user: UserRefReadModel | null; count: number }[];
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/** Tickets leaving QA: to done (passed) or back to work (failed). */
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qa!: { passed: number; failed: number; failureRate: number | null };
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}
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/** Scope vs finished tickets of a release, day by day. */
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export class ReleaseBurnupReadModel {
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releaseId!: string;
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targetDate!: string | null;
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dates!: string[];
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scope!: number[];
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done!: number[];
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}
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