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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@@ -7,10 +7,14 @@ Casos de uso del tracker (CQRS).
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## Contenido
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- Services: `ProjectsService`, `IssuesService`, `CommentsService`, `ReleasesService`, `ChangesService` (subscriptions).
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- Services: `ProjectsService`, `IssuesService`, `CommentsService`, `ReleasesService`, `ChangesService` (subscriptions),
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`WorkflowsService` (workflow de cada proyecto para presentar tickets, con una caché de 2 s).
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- `commands/`: un fichero por command y otro por handler; cargan con `WriteAccess` (rehydrator) y guardan con `commitAndWait()`.
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- `queries/`: un fichero por query y otro por handler; leen de los puertos `Find*Repository` y comprueban la membresía (`ReadAccess`).
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- `event-handlers/`: proyecciones (`@EventsHandler`) hacia el read model, notificaciones en tiempo real y feed de actividad.
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- `queries/`: un fichero por query y otro por handler; leen de los puertos `Find*Repository` y comprueban la membresía (`ReadAccess`);
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`SearchMyIssuesQuery` y `GetUpcomingReleasesQuery` cruzan todos los proyectos del usuario («Mi trabajo»).
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- `event-handlers/`: proyecciones (`@EventsHandler`) hacia el read model (incluida la línea temporal de cada ticket),
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notificaciones en tiempo real y feed de actividad.
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- `analytics/`: estadísticas y burnup calculados con funciones puras sobre la línea temporal (con tests).
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- `ports/`: lookups de escritura, `Find*`, `UpsertMaterialized*`, `ReleaseIssuesRepository`, `ChangeFeed`, `UserDirectory`.
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- `TrackerApplicationModule.withInfrastructure(...)`.
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