4.0 KiB
F-146 — Architect
Feature
Reporting: service summary and sales API.
Background
F-143 set up the RBAC and filter contracts. F-144 added store_id/shipping_cents snapshots. F-145 added payment lines. F-146 wires up the ReportingService that reads the actual data using those columns.
Objetivo
Implementar ReportingService con métodos summary() y sales() que:
- Usan el CTE
filtered_ordersdel architecture doc §7 - Aplican todos los filtros del schema de F-143
- Devuelven métricas con
dataAvailabilitycorrecto - Soportan
groupBy,paginationycompare
Diseño
ReportingService (application layer)
// src/modules/reporting/application/reporting-service.ts
interface ReportingServiceDeps {
pool: pg.Pool;
}
class ReportingService {
constructor(private deps: ReportingServiceDeps) {}
async summary(filters: ReportingFilters): Promise<SummaryResponse>
async sales(filters: ReportingFilters): Promise<SalesResponse>
}
SQL base (CTE de §7 arquitectura)
WITH filtered_orders AS (
SELECT o.*
FROM orders_orders o
WHERE o.created_at >= $1 -- from (UTC)
AND o.created_at < $2 -- to (UTC)
AND o.state IN ('PAID','PROCESSING','SHIPPED','DELIVERED','COMPLETED')
AND ($3::text IS NULL OR o.source = $3) -- channel
AND (cardinality($4::uuid[]) = 0 OR o.store_id = ANY($4::uuid[]))
AND (cardinality($5::uuid[]) = 0 OR o.terminal_id = ANY($5::uuid[]))
AND (cardinality($6::text[]) = 0 OR o.state = ANY($6::text[]))
),
filtered_items AS (
SELECT i.*, o.source, o.store_id, o.terminal_id
FROM orders_items i
JOIN filtered_orders o ON o.id = i.order_id
)
SELECT
COUNT(DISTINCT o.id)::int AS orders,
COUNT(DISTINCT o.user_id) FILTER (WHERE o.user_id IS NOT NULL)::int AS customers,
COALESCE(SUM(i.unit_price_cents * i.quantity), 0)::bigint AS gross_sales_cents,
COALESCE(SUM(i.discount_cents), 0)::bigint AS discounts_cents,
COALESCE(SUM(i.tax_cents), 0)::bigint AS tax_cents,
COALESCE(SUM(i.quantity), 0)::int AS units_sold
FROM filtered_orders o
LEFT JOIN filtered_items i ON i.order_id = o.id
groupBy extension (sales endpoint)
-- Para groupBy=day (agrupación por día UTC)
DATE_TRUNC('day', o.created_at) AS period
dataAvailability (según modelo actual)
const dataAvailability: DataAvailability = {
grossSales: 'available',
netSales: 'unavailable', // sin shipping_cents aún (F-144 existe, service aún no lo usa)
discounts: 'available',
tax: 'available',
unitsSold: 'available',
orders: 'available',
customers: 'available',
margin: 'unavailable', // sin cost_at_sale en orders_items
paymentMethod: 'unavailable', // sin JOIN con reporting_payment_lines aún
refunds: 'unavailable', // necesita state=REFUNDED/PARTIALLY_REFUNDED en filtro
shipping: 'available', // shipping_cents en orders_orders (F-144)
};
Rutas
GET /reporting/summary?from=&to=&channel=&storeId=&...→ SummaryResponseGET /reporting/sales?from=&to=&groupBy=day&page=1&...→ SalesResponse (con pagination)
Caching
F-146 NO implementa caché (postergado a F-148 post-dashboard). La respuesta incluye updatedAt: new Date().toISOString() y cache: { hit: false, maxAgeSeconds: 0 } como placeholder.
Acceptance Criteria
AC1: GET /reporting/summary devuelve métricas agregadas (orders, customers, grossSales, discounts, tax, units) con rango filtrado. AC2: GET /reporting/sales devuelve filas agrupadas por día/semana/mes/hora/store/channel. AC3: Filtros storeId/terminalId/state/channel se aplican correctamente. AC4: Paginación funciona (page/pageSize). AC5: dataAvailability refleja correctamente qué métricas son calculables. AC6: Compare previous_equal devuelve rango previo del mismo tamaño. AC7: Errores de validación (fechas invertidas, IDs inválidos) devuelven 400. AC8: Permisos RBAC aplicados (REPORTING_VIEW para summary, REPORTING_SALES para sales). AC9: tsc 0, itest pasa, verify.sh verde.