feat(statistics): добавить BI-разрез и сводную матрицу

Сопоставить клиентов с ifIndex как на карте трафика, чтобы KPI пользователей не обнулялся. На экране — разрез остальных измерений и сводная матрица.

Co-authored-by: Cursor <[email protected]>

packages/contracts/src/statistics.ts

@@ -1,5 +1,16 @@
 import { z } from "zod"
 
+export const STATISTICS_UNBOUND_USER_ID = "__unbound__"
+
+export const statisticsPivotDimSchema = z.enum([
+  "country",
+  "service",
+  "asn",
+  "server",
+  "user",
+  "iface",
+])
+
 export const statisticsBreakdownRowSchema = z.object({
   id: z.string(),
   label: z.string(),
@@ -50,8 +61,39 @@ export const statisticsDtoSchema = z.object({
   asns: z.array(statisticsBreakdownRowSchema),
 })
 
+export const statisticsPivotQuerySchema = statisticsQuerySchema.extend({
+  row: statisticsPivotDimSchema,
+  col: statisticsPivotDimSchema,
+  metric: z.enum(["bytes", "packets"]).default("bytes"),
+})
+
+export const statisticsPivotColumnSchema = z.object({
+  id: z.string(),
+  label: z.string(),
+  total: z.number().nonnegative(),
+})
+
+export const statisticsPivotRowSchema = z.object({
+  id: z.string(),
+  label: z.string(),
+  total: z.number().nonnegative(),
+  cells: z.record(z.string(), z.number().nonnegative()),
+})
+
+export const statisticsPivotDtoSchema = z.object({
+  rowDim: statisticsPivotDimSchema,
+  colDim: statisticsPivotDimSchema,
+  metric: z.enum(["bytes", "packets"]),
+  columns: z.array(statisticsPivotColumnSchema),
+  rows: z.array(statisticsPivotRowSchema),
+  otherBytes: z.number().nonnegative(),
+})
+
 export type StatisticsBreakdownRow = z.infer<typeof statisticsBreakdownRowSchema>
 export type StatisticsSeriesPoint = z.infer<typeof statisticsSeriesPointSchema>
 export type StatisticsKpis = z.infer<typeof statisticsKpisSchema>
 export type StatisticsQuery = z.infer<typeof statisticsQuerySchema>
 export type StatisticsDto = z.infer<typeof statisticsDtoSchema>
+export type StatisticsPivotDim = z.infer<typeof statisticsPivotDimSchema>
+export type StatisticsPivotQuery = z.infer<typeof statisticsPivotQuerySchema>
+export type StatisticsPivotDto = z.infer<typeof statisticsPivotDtoSchema>