DenozordecandCursor
5bb9066be8
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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]>
100 lines
3.1 KiB
TypeScript
100 lines
3.1 KiB
TypeScript
import { z } from "zod"
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export const STATISTICS_UNBOUND_USER_ID = "__unbound__"
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export const statisticsPivotDimSchema = z.enum([
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"country",
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"service",
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"asn",
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"server",
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"user",
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"iface",
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])
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export const statisticsBreakdownRowSchema = z.object({
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id: z.string(),
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label: z.string(),
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bytes: z.number().nonnegative(),
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packets: z.number().nonnegative(),
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bps: z.number().nonnegative(),
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percent: z.number().nonnegative(),
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})
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export const statisticsSeriesPointSchema = z.object({
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t: z.string(),
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bytes: z.number().nonnegative(),
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})
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export const statisticsKpisSchema = z.object({
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bytes: z.number().nonnegative(),
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packets: z.number().nonnegative(),
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avgBps: z.number().nonnegative(),
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users: z.number().int().nonnegative(),
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servers: z.number().int().nonnegative(),
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ifaces: z.number().int().nonnegative(),
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topCountry: z.string(),
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topService: z.string(),
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})
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export const statisticsQuerySchema = z.object({
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from: z.string().min(1),
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to: z.string().min(1),
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serverId: z.coerce.number().int().positive().optional(),
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userId: z.string().min(1).optional(),
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iface: z.string().min(1).optional(),
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country: z.string().min(2).max(2).optional(),
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service: z.string().min(1).optional(),
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asn: z.coerce.number().int().optional(),
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})
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export const statisticsDtoSchema = z.object({
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from: z.string(),
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to: z.string(),
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grain: z.enum(["hour", "day"]),
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kpis: statisticsKpisSchema,
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series: z.array(statisticsSeriesPointSchema),
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users: z.array(statisticsBreakdownRowSchema),
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servers: z.array(statisticsBreakdownRowSchema),
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interfaces: z.array(statisticsBreakdownRowSchema),
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countries: z.array(statisticsBreakdownRowSchema),
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services: z.array(statisticsBreakdownRowSchema),
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asns: z.array(statisticsBreakdownRowSchema),
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})
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export const statisticsPivotQuerySchema = statisticsQuerySchema.extend({
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row: statisticsPivotDimSchema,
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col: statisticsPivotDimSchema,
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metric: z.enum(["bytes", "packets"]).default("bytes"),
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})
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export const statisticsPivotColumnSchema = z.object({
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id: z.string(),
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label: z.string(),
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total: z.number().nonnegative(),
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})
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export const statisticsPivotRowSchema = z.object({
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id: z.string(),
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label: z.string(),
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total: z.number().nonnegative(),
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cells: z.record(z.string(), z.number().nonnegative()),
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})
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export const statisticsPivotDtoSchema = z.object({
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rowDim: statisticsPivotDimSchema,
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colDim: statisticsPivotDimSchema,
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metric: z.enum(["bytes", "packets"]),
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columns: z.array(statisticsPivotColumnSchema),
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rows: z.array(statisticsPivotRowSchema),
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otherBytes: z.number().nonnegative(),
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})
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export type StatisticsBreakdownRow = z.infer<typeof statisticsBreakdownRowSchema>
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export type StatisticsSeriesPoint = z.infer<typeof statisticsSeriesPointSchema>
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export type StatisticsKpis = z.infer<typeof statisticsKpisSchema>
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export type StatisticsQuery = z.infer<typeof statisticsQuerySchema>
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export type StatisticsDto = z.infer<typeof statisticsDtoSchema>
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export type StatisticsPivotDim = z.infer<typeof statisticsPivotDimSchema>
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export type StatisticsPivotQuery = z.infer<typeof statisticsPivotQuerySchema>
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export type StatisticsPivotDto = z.infer<typeof statisticsPivotDtoSchema>
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