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MikrotikManager/backend/src/services/statistics-aggregate.ts
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fix(statistics): считать уникальный payload без дублей hops
Co-authored-by: Cursor <[email protected]>
2026-09-11 01:27:40 +07:00

886 lines
29 KiB
TypeScript

import { eq } from "drizzle-orm"
import { db, dbAll } from "../db/index.js"
import { appUsers, flowAsnMeta, servers, userInterfaceBindings } from "../db/schema.js"
import {
STATISTICS_UNBOUND_USER_ID,
type StatisticsBreakdownRow,
type StatisticsDto,
type StatisticsPivotDim,
type StatisticsPivotDto,
type StatisticsPivotQuery,
type StatisticsQuery,
} from "@mmapp/contracts/statistics"
import {
collapseServerIfaceRows,
displayFactIface,
expandBindingIfaces,
factIfaceAliases,
listCachedIfaceNames,
} from "./traffic-flow-ifindex.js"
import { refreshServerIfaces } from "./traffic-flow-ifaces.js"
import {
isDashDisplayIface,
isJunkFactIface,
isOverlayTunnelIface,
isWanFactIface,
overlayDupLabel,
wanIfaceLabel,
} from "./traffic-flow-facts-filter.js"
import { getServerCatalog, loadFlowTopology, type FlowTopology } from "./traffic-flow-topology.js"
const TOP_N = 200
const HOUR_WINDOW_MS = 48 * 3600_000
const PIVOT_ROW_CAP = 50
const PIVOT_COL_CAP = 15
const PIVOT_OTHER_ID = "__other__"
export interface ParsedPeriod {
fromIso: string
toIso: string
fromDay: string
toDayExclusive: string
grain: "hour" | "day"
windowSec: number
}
function pad2(n: number): string {
return String(n).padStart(2, "0")
}
function toUtcDay(d: Date): string {
return `${d.getUTCFullYear()}-${pad2(d.getUTCMonth() + 1)}-${pad2(d.getUTCDate())}`
}
function addUtcDays(day: string, n: number): string {
const d = new Date(`${day}T00:00:00Z`)
d.setUTCDate(d.getUTCDate() + n)
return toUtcDay(d)
}
/** Parse from/to. Date-only `to` is inclusive (end of that UTC day). */
export function parseStatisticsPeriod(fromRaw: string, toRaw: string): ParsedPeriod | null {
const from = Date.parse(fromRaw.includes("T") ? fromRaw : `${fromRaw}T00:00:00Z`)
const toHasTime = toRaw.includes("T")
const to = Date.parse(toHasTime ? toRaw : `${toRaw}T00:00:00Z`)
if (!Number.isFinite(from) || !Number.isFinite(to)) return null
const fromDate = new Date(from)
let toDate = new Date(to)
let toDayExclusive: string
if (toHasTime) {
toDayExclusive = toUtcDay(toDate)
if (toDate.getUTCHours() !== 0 || toDate.getUTCMinutes() !== 0 || toDate.getUTCSeconds() !== 0) {
toDayExclusive = addUtcDays(toDayExclusive, 1)
}
} else {
toDayExclusive = addUtcDays(toUtcDay(toDate), 1)
toDate = new Date(`${toDayExclusive}T00:00:00Z`)
}
if (toDate.getTime() <= from) return null
const windowSec = Math.max(1, Math.round((toDate.getTime() - from) / 1000))
const grain: "hour" | "day" = toDate.getTime() - from <= HOUR_WINDOW_MS ? "hour" : "day"
return {
fromIso: fromDate.toISOString(),
toIso: toDate.toISOString(),
fromDay: toUtcDay(fromDate),
toDayExclusive,
grain,
windowSec,
}
}
type FactScope = "unique" | "wan" | "overlay"
interface FilterCtx {
fromIso: string
toIso: string
fromDay: string
toDayExclusive: string
serverId?: number
iface?: string
country?: string
service?: string
asn?: number
planes: "unique" | "all"
userIfaces: Array<{ serverId: number; iface: string }> | null
unboundOnly: boolean
boundIfaces: Array<{ serverId: number; iface: string }>
overlayIfaces: Array<{ serverId: number; iface: string }>
wanIfaces: Array<{ serverId: number; iface: string }>
excludeServerIds: number[]
topo: FlowTopology | null
}
function ifaceFilterAliases(iface: string, serverId?: number): string[] {
return factIfaceAliases(iface.trim(), serverId)
}
function looksLikeIfIndex(iface: string): boolean {
const raw = iface.trim()
return /^\d+$/.test(raw) || /^#\d+$/.test(raw)
}
async function warmIfaceCache(ids: Iterable<number>): Promise<void> {
const uniq = [...new Set(ids)].filter((id) => Number.isFinite(id) && id > 0)
if (!uniq.length) return
await Promise.all(uniq.map((id) => refreshServerIfaces(id)))
}
async function warmBindingIfaceCache(): Promise<void> {
const rows = await db.select({ serverId: userInterfaceBindings.serverId }).from(userInterfaceBindings)
await warmIfaceCache(rows.map((r) => r.serverId))
}
function canonicalIfaceDimId(id: string): string {
const colon = id.indexOf(":")
if (colon < 0) return id
const sid = Number(id.slice(0, colon))
if (!Number.isFinite(sid)) return id
return `${sid}:${displayFactIface(sid, id.slice(colon + 1))}`
}
function pushIfaceTuples(
parts: string[],
params: unknown[],
alias: string,
tuples: Array<{ serverId: number; iface: string }>,
op: "IN" | "NOT IN",
): void {
if (!tuples.length) {
if (op === "IN") parts.push("FALSE")
return
}
const sql = tuples.map(() => "(?, ?)").join(", ")
parts.push(`(${alias}.server_id, ${alias}.iface) ${op} (${sql})`)
for (const t of tuples) {
params.push(t.serverId, t.iface)
}
}
function factWhere(
alias: string,
grain: "hour" | "day",
ctx: FilterCtx,
scope: FactScope = "unique",
): { sql: string; params: unknown[] } {
const params: unknown[] = []
const parts: string[] = []
if (grain === "hour") {
params.push(ctx.fromIso, ctx.toIso)
parts.push(`${alias}.bucket_at >= ? AND ${alias}.bucket_at < ?`)
} else {
params.push(ctx.fromDay, ctx.toDayExclusive)
parts.push(`${alias}.day >= ? AND ${alias}.day < ?`)
}
if (ctx.serverId != null) {
parts.push(`${alias}.server_id = ?`)
params.push(ctx.serverId)
}
if (ctx.country) {
parts.push(`${alias}.country = ?`)
params.push(ctx.country.toUpperCase())
}
if (ctx.service) {
parts.push(`${alias}.service = ?`)
params.push(ctx.service)
}
if (ctx.asn != null) {
parts.push(`${alias}.asn = ?`)
params.push(ctx.asn)
}
parts.push(`${alias}.iface NOT IN ('0', '—', '__unknown__', 'wg-flow', '')`)
if (scope === "wan") {
pushIfaceTuples(parts, params, alias, ctx.wanIfaces, "IN")
return { sql: parts.join(" AND "), params }
}
if (scope === "overlay") {
pushIfaceTuples(parts, params, alias, ctx.overlayIfaces, "IN")
return { sql: parts.join(" AND "), params }
}
if (ctx.iface) {
const aliases = ifaceFilterAliases(ctx.iface, ctx.serverId)
if (aliases.length <= 1) {
parts.push(`${alias}.iface = ?`)
params.push(aliases[0] ?? ctx.iface)
} else {
parts.push(`${alias}.iface IN (${aliases.map(() => "?").join(", ")})`)
params.push(...aliases)
}
return { sql: parts.join(" AND "), params }
}
if (ctx.userIfaces) {
pushIfaceTuples(parts, params, alias, ctx.userIfaces, "IN")
return { sql: parts.join(" AND "), params }
}
if (ctx.unboundOnly) {
parts.push("FALSE")
return { sql: parts.join(" AND "), params }
}
pushIfaceTuples(parts, params, alias, ctx.boundIfaces, "IN")
if (ctx.excludeServerIds.length) {
parts.push(`${alias}.server_id NOT IN (${ctx.excludeServerIds.map(() => "?").join(", ")})`)
params.push(...ctx.excludeServerIds)
}
return { sql: parts.join(" AND "), params }
}
function emptyDto(period: ParsedPeriod): StatisticsDto {
return {
from: period.fromIso,
to: period.toIso,
grain: period.grain,
kpis: {
bytes: 0,
packets: 0,
avgBps: 0,
users: 0,
servers: 0,
ifaces: 0,
topCountry: "—",
topService: "—",
},
series: [],
users: [],
servers: [],
interfaces: [],
countries: [],
services: [],
asns: [],
}
}
function toBreakdown(
rows: Array<{ id: string; label: string; bytes: number; packets: number }>,
totalBytes: number,
windowSec: number,
): StatisticsBreakdownRow[] {
const denom = totalBytes || 1
return rows
.sort((a, b) => b.bytes - a.bytes)
.slice(0, TOP_N)
.map((r) => ({
id: r.id,
label: r.label,
bytes: r.bytes,
packets: r.packets,
bps: (r.bytes * 8) / windowSec,
percent: (r.bytes / denom) * 100,
}))
}
interface UserBindTuple {
userId: string
serverId: number
iface: string
}
async function loadBindUserTuples(): Promise<UserBindTuple[]> {
const binds = await db.select().from(userInterfaceBindings)
const seen = new Set<string>()
const out: UserBindTuple[] = []
for (const b of binds) {
for (const iface of factIfaceAliases(b.interfaceName, b.serverId)) {
const k = `${b.userId}\0${b.serverId}\0${iface}`
if (seen.has(k)) continue
seen.add(k)
out.push({ userId: b.userId, serverId: b.serverId, iface })
}
}
return out
}
function uniqueBoundIfaces(tuples: UserBindTuple[]): Array<{ serverId: number; iface: string }> {
const seen = new Set<string>()
const out: Array<{ serverId: number; iface: string }> = []
for (const t of tuples) {
const k = `${t.serverId}\0${t.iface}`
if (seen.has(k)) continue
seen.add(k)
out.push({ serverId: t.serverId, iface: t.iface })
}
return out
}
async function resolveUserIfaces(userId?: string): Promise<Array<{ serverId: number; iface: string }> | null> {
if (!userId || userId === STATISTICS_UNBOUND_USER_ID) return null
const binds = await db.select().from(userInterfaceBindings).where(eq(userInterfaceBindings.userId, userId))
return expandBindingIfaces(binds.map((b) => ({ serverId: b.serverId, iface: b.interfaceName })))
}
function userBindJoinSql(tuples: UserBindTuple[]): { sql: string; params: unknown[] } {
const values = tuples.map(() => "(?::text, ?::int, ?::text)").join(", ")
const params = tuples.flatMap((t) => [t.userId, t.serverId, t.iface])
return {
sql: `JOIN (VALUES ${values}) AS b(user_id, server_id, iface) ON b.server_id = f.server_id AND b.iface = f.iface`,
params,
}
}
function expandIfaceTuples(
items: Array<{ serverId: number; iface: string }>,
): Array<{ serverId: number; iface: string }> {
const seen = new Set<string>()
const out: Array<{ serverId: number; iface: string }> = []
for (const t of items) {
for (const iface of factIfaceAliases(t.iface, t.serverId)) {
const k = `${t.serverId}\0${iface}`
if (seen.has(k)) continue
seen.add(k)
out.push({ serverId: t.serverId, iface })
}
}
return out
}
async function loadPayloadScope(serverId?: number): Promise<{
overlayIfaces: Array<{ serverId: number; iface: string }>
wanIfaces: Array<{ serverId: number; iface: string }>
excludeServerIds: number[]
topo: FlowTopology
}> {
const topo = await loadFlowTopology()
const catalog = await getServerCatalog()
await warmIfaceCache(catalog.list.map((s) => s.id))
const overlayRaw: Array<{ serverId: number; iface: string }> = []
const wanRaw: Array<{ serverId: number; iface: string }> = []
for (const s of catalog.list) {
if (serverId != null && s.id !== serverId) continue
const wanSet = topo.wanIfaces.get(s.id)
const wanNames = wanSet && wanSet.size > 0
? [...wanSet]
: s.type === "home-router" ? [] : ["ether1"]
for (const name of wanNames) wanRaw.push({ serverId: s.id, iface: name })
const names = new Set(listCachedIfaceNames(s.id))
for (const name of topo.tunnelIfaces?.get(s.id) ?? []) names.add(name)
for (const name of names) {
if (isOverlayTunnelIface(topo, s.id, name)) overlayRaw.push({ serverId: s.id, iface: name })
}
}
return {
overlayIfaces: expandIfaceTuples(overlayRaw),
wanIfaces: expandIfaceTuples(wanRaw),
excludeServerIds: serverId != null
? []
: catalog.list.filter((s) => s.type === "exit-node").map((s) => s.id),
topo,
}
}
async function buildFilterCtx(query: StatisticsQuery, period: ParsedPeriod): Promise<FilterCtx | null> {
const bindTuples = await loadBindUserTuples()
const boundIfaces = uniqueBoundIfaces(bindTuples)
const unboundOnly = query.userId === STATISTICS_UNBOUND_USER_ID
const userIfaces = unboundOnly ? null : await resolveUserIfaces(query.userId)
if (userIfaces && userIfaces.length === 0) return null
if (unboundOnly) return null
const scope = await loadPayloadScope(query.serverId)
return {
...period,
serverId: query.serverId,
iface: query.iface,
country: query.country,
service: query.service,
asn: query.asn,
planes: query.planes ?? "unique",
userIfaces,
unboundOnly,
boundIfaces,
overlayIfaces: scope.overlayIfaces,
wanIfaces: scope.wanIfaces,
excludeServerIds: scope.excludeServerIds,
topo: scope.topo,
}
}
export async function getStatistics(query: StatisticsQuery): Promise<StatisticsDto> {
const period = parseStatisticsPeriod(query.from, query.to)
if (!period) return emptyDto({
fromIso: query.from,
toIso: query.to,
fromDay: query.from.slice(0, 10),
toDayExclusive: query.to.slice(0, 10),
grain: "day",
windowSec: 1,
})
await warmBindingIfaceCache()
if (query.serverId) await warmIfaceCache([query.serverId])
const bindTuples = await loadBindUserTuples()
const ctx = await buildFilterCtx(query, period)
if (!ctx) return emptyDto(period)
const table = period.grain === "hour" ? "flow_hour_facts" : "flow_daily_facts"
const timeCol = period.grain === "hour" ? "bucket_at" : "day"
const where = factWhere("f", period.grain, ctx)
const totals = await dbAll<{ bytes: number; packets: number; servers: number }>(`
SELECT
COALESCE(SUM(f.bytes), 0) AS bytes,
COALESCE(SUM(f.packets), 0) AS packets,
COUNT(DISTINCT f.server_id)::int AS servers
FROM ${table} f
WHERE ${where.sql}
`, where.params)
const bytes = Number(totals[0]?.bytes) || 0
const packets = Number(totals[0]?.packets) || 0
const serverCount = Number(totals[0]?.servers) || 0
const seriesRows = await dbAll<{ t: string; bytes: number }>(`
SELECT ${timeCol}::text AS t, SUM(f.bytes) AS bytes
FROM ${table} f
WHERE ${where.sql}
GROUP BY ${timeCol}
ORDER BY ${timeCol}
`, where.params)
const countryRows = await dbAll<{ id: string; bytes: number; packets: number }>(`
SELECT f.country AS id, SUM(f.bytes) AS bytes, SUM(f.packets) AS packets
FROM ${table} f
WHERE ${where.sql}
GROUP BY f.country
`, where.params)
const serviceRows = await dbAll<{ id: string; bytes: number; packets: number }>(`
SELECT f.service AS id, SUM(f.bytes) AS bytes, SUM(f.packets) AS packets
FROM ${table} f
WHERE ${where.sql}
GROUP BY f.service
`, where.params)
const asnRows = await dbAll<{ id: number; bytes: number; packets: number }>(`
SELECT f.asn AS id, SUM(f.bytes) AS bytes, SUM(f.packets) AS packets
FROM ${table} f
WHERE ${where.sql}
GROUP BY f.asn
`, where.params)
const serverRows = await dbAll<{ id: number; bytes: number; packets: number }>(`
SELECT f.server_id AS id, SUM(f.bytes) AS bytes, SUM(f.packets) AS packets
FROM ${table} f
WHERE ${where.sql}
GROUP BY f.server_id
`, where.params)
const ifaceRowsRaw = await dbAll<{ serverId: number; iface: string; bytes: number; packets: number }>(`
SELECT f.server_id AS "serverId", f.iface AS iface, SUM(f.bytes) AS bytes, SUM(f.packets) AS packets
FROM ${table} f
WHERE ${where.sql}
GROUP BY f.server_id, f.iface
`, where.params)
await warmIfaceCache(ifaceRowsRaw.filter((r) => looksLikeIfIndex(r.iface)).map((r) => r.serverId))
const ifaceRows = collapseServerIfaceRows(ifaceRowsRaw).filter((r) => {
if (isJunkFactIface(r.iface) || isDashDisplayIface(r.iface)) return false
if (ctx.iface) return true
if (ctx.topo && isOverlayTunnelIface(ctx.topo, r.serverId, r.iface)) return false
if (ctx.topo && isWanFactIface(ctx.topo, r.serverId, r.iface)) return false
return true
})
const ifaceCount = ifaceRows.length
let dupeIfaceRows: Array<{ serverId: number; iface: string; bytes: number; packets: number; kind: "wan" | "overlay" }> = []
if (ctx.planes === "all" && !ctx.iface) {
const wanWhere = factWhere("f", period.grain, ctx, "wan")
const overlayWhere = factWhere("f", period.grain, ctx, "overlay")
const [wanRaw, overlayRaw] = await Promise.all([
dbAll<{ serverId: number; iface: string; bytes: number; packets: number }>(`
SELECT f.server_id AS "serverId", f.iface AS iface, SUM(f.bytes) AS bytes, SUM(f.packets) AS packets
FROM ${table} f
WHERE ${wanWhere.sql}
GROUP BY f.server_id, f.iface
`, wanWhere.params),
dbAll<{ serverId: number; iface: string; bytes: number; packets: number }>(`
SELECT f.server_id AS "serverId", f.iface AS iface, SUM(f.bytes) AS bytes, SUM(f.packets) AS packets
FROM ${table} f
WHERE ${overlayWhere.sql}
GROUP BY f.server_id, f.iface
`, overlayWhere.params),
])
await warmIfaceCache([
...wanRaw.filter((r) => looksLikeIfIndex(r.iface)).map((r) => r.serverId),
...overlayRaw.filter((r) => looksLikeIfIndex(r.iface)).map((r) => r.serverId),
])
const seen = new Set(ifaceRows.map((r) => `${r.serverId}:${r.iface}`))
for (const r of collapseServerIfaceRows(wanRaw)) {
if (isJunkFactIface(r.iface) || isDashDisplayIface(r.iface)) continue
const key = `${r.serverId}:${r.iface}`
if (seen.has(key)) continue
seen.add(key)
dupeIfaceRows.push({ ...r, kind: "wan" })
}
for (const r of collapseServerIfaceRows(overlayRaw)) {
if (isJunkFactIface(r.iface) || isDashDisplayIface(r.iface)) continue
const key = `${r.serverId}:${r.iface}`
if (seen.has(key)) continue
seen.add(key)
dupeIfaceRows.push({ ...r, kind: "overlay" })
}
}
let userRows: Array<{ id: string; bytes: number; packets: number }> = []
if (bindTuples.length && !ctx.unboundOnly) {
const join = userBindJoinSql(bindTuples)
userRows = await dbAll<{ id: string; bytes: number; packets: number }>(`
SELECT b.user_id AS id, SUM(f.bytes) AS bytes, SUM(f.packets) AS packets
FROM ${table} f
${join.sql}
WHERE ${where.sql}
GROUP BY b.user_id
`, [...join.params, ...where.params])
}
const serverNames = new Map<number, string>()
const allServers = await db.select({ id: servers.id, name: servers.name, host: servers.host }).from(servers)
for (const s of allServers) serverNames.set(s.id, s.name || s.host)
const userNames = new Map<string, string>()
const allUsers = await db.select({ id: appUsers.id, name: appUsers.name, login: appUsers.login }).from(appUsers)
for (const u of allUsers) userNames.set(u.id, u.name || u.login)
const asnHolders = new Map<number, string>()
const asnMeta = await db.select({ asn: flowAsnMeta.asn, holder: flowAsnMeta.holder }).from(flowAsnMeta)
for (const a of asnMeta) asnHolders.set(a.asn, a.holder)
const countries = toBreakdown(
countryRows.map((r) => ({
id: r.id,
label: r.id === "XX" ? "Неизвестно" : r.id,
bytes: Number(r.bytes) || 0,
packets: Number(r.packets) || 0,
})),
bytes,
period.windowSec,
)
const services = toBreakdown(
serviceRows.map((r) => ({
id: r.id,
label: r.id,
bytes: Number(r.bytes) || 0,
packets: Number(r.packets) || 0,
})),
bytes,
period.windowSec,
)
const asns = toBreakdown(
asnRows.map((r) => {
const id = Number(r.id) || 0
const holder = asnHolders.get(id)
return {
id: String(id),
label: id === 0 ? "other" : holder ? `AS${id} · ${holder}` : `AS${id}`,
bytes: Number(r.bytes) || 0,
packets: Number(r.packets) || 0,
}
}),
bytes,
period.windowSec,
)
const serverBreakdown = toBreakdown(
serverRows.map((r) => ({
id: String(r.id),
label: serverNames.get(r.id) || String(r.id),
bytes: Number(r.bytes) || 0,
packets: Number(r.packets) || 0,
})),
bytes,
period.windowSec,
)
const uniqueInterfaces = toBreakdown(
ifaceRows.map((r) => {
const serverName = serverNames.get(r.serverId) || String(r.serverId)
const wan = ctx.topo ? isWanFactIface(ctx.topo, r.serverId, r.iface) : false
return {
id: `${r.serverId}:${r.iface}`,
label: wan ? wanIfaceLabel(serverName, r.iface) : `${serverName} · ${r.iface}`,
bytes: Number(r.bytes) || 0,
packets: Number(r.packets) || 0,
}
}),
bytes,
period.windowSec,
)
const dupeInterfaces: StatisticsBreakdownRow[] = dupeIfaceRows.map((r) => {
const serverName = serverNames.get(r.serverId) || String(r.serverId)
const rowBytes = Number(r.bytes) || 0
const rowPackets = Number(r.packets) || 0
return {
id: `${r.serverId}:${r.iface}`,
label: r.kind === "wan" ? wanIfaceLabel(serverName, r.iface) : overlayDupLabel(serverName, r.iface),
bytes: rowBytes,
packets: rowPackets,
bps: (rowBytes * 8) / period.windowSec,
percent: 0,
}
})
const interfaces = [...uniqueInterfaces, ...dupeInterfaces]
const matchedUsers = toBreakdown(
userRows.map((r) => ({
id: r.id,
label: userNames.get(r.id) || r.id,
bytes: Number(r.bytes) || 0,
packets: Number(r.packets) || 0,
})),
bytes,
period.windowSec,
)
const users = [...matchedUsers]
return {
from: period.fromIso,
to: period.toIso,
grain: period.grain,
kpis: {
bytes,
packets,
avgBps: (bytes * 8) / period.windowSec,
users: matchedUsers.length,
servers: serverCount,
ifaces: ifaceCount,
topCountry: countries[0]?.label || "—",
topService: services[0]?.label || "—",
},
series: seriesRows.map((r) => ({ t: r.t, bytes: Number(r.bytes) || 0 })),
users,
servers: serverBreakdown,
interfaces,
countries,
services,
asns,
}
}
function dimSql(dim: StatisticsPivotDim, factAlias: string, bindAlias: string): string {
if (dim === "country") return `${factAlias}.country`
if (dim === "service") return `${factAlias}.service`
if (dim === "asn") return `${factAlias}.asn::text`
if (dim === "server") return `${factAlias}.server_id::text`
if (dim === "iface") return `(${factAlias}.server_id::text || ':' || ${factAlias}.iface)`
return `${bindAlias}.user_id`
}
function emptyPivot(query: StatisticsPivotQuery): StatisticsPivotDto {
return {
rowDim: query.row,
colDim: query.col,
metric: query.metric,
columns: [],
rows: [],
otherBytes: 0,
}
}
export function pivotDimsConflict(row: StatisticsPivotDim, col: StatisticsPivotDim): boolean {
return row === col
}
export async function getStatisticsPivot(query: StatisticsPivotQuery): Promise<StatisticsPivotDto> {
if (pivotDimsConflict(query.row, query.col)) return emptyPivot(query)
const period = parseStatisticsPeriod(query.from, query.to)
if (!period) return emptyPivot(query)
await warmBindingIfaceCache()
if (query.serverId) await warmIfaceCache([query.serverId])
const bindTuples = await loadBindUserTuples()
const ctx = await buildFilterCtx(query, period)
if (!ctx) return emptyPivot(query)
const needsUser = query.row === "user" || query.col === "user"
if (needsUser && bindTuples.length === 0) return emptyPivot(query)
const table = period.grain === "hour" ? "flow_hour_facts" : "flow_daily_facts"
const where = factWhere("f", period.grain, ctx)
const rowExpr = dimSql(query.row, "f", "b")
const colExpr = dimSql(query.col, "f", "b")
const join = needsUser ? userBindJoinSql(bindTuples) : { sql: "", params: [] as unknown[] }
const raw = await dbAll<{ row_id: string; col_id: string; bytes: number; packets: number }>(`
SELECT ${rowExpr} AS row_id, ${colExpr} AS col_id,
SUM(f.bytes) AS bytes, SUM(f.packets) AS packets
FROM ${table} f
${join.sql}
WHERE ${where.sql}
GROUP BY 1, 2
`, [...join.params, ...where.params])
if (query.row === "iface" || query.col === "iface") {
const ifaceServerIds: number[] = []
for (const r of raw) {
for (const dim of [query.row, query.col] as const) {
if (dim !== "iface") continue
const id = dim === query.row ? String(r.row_id ?? "") : String(r.col_id ?? "")
const colon = id.indexOf(":")
if (colon < 0) continue
const sid = Number(id.slice(0, colon))
if (looksLikeIfIndex(id.slice(colon + 1)) && Number.isFinite(sid)) ifaceServerIds.push(sid)
}
}
await warmIfaceCache(ifaceServerIds)
for (const r of raw) {
if (query.row === "iface") r.row_id = canonicalIfaceDimId(String(r.row_id ?? ""))
if (query.col === "iface") r.col_id = canonicalIfaceDimId(String(r.col_id ?? ""))
}
}
const metric = query.metric
type Acc = { bytes: number; packets: number }
const cell = new Map<string, Map<string, Acc>>()
const colTotals = new Map<string, number>()
for (const r of raw) {
const rid = String(r.row_id ?? "")
const cid = String(r.col_id ?? "")
const acc: Acc = { bytes: Number(r.bytes) || 0, packets: Number(r.packets) || 0 }
const val = metric === "packets" ? acc.packets : acc.bytes
let rowMap = cell.get(rid)
if (!rowMap) {
rowMap = new Map()
cell.set(rid, rowMap)
}
const prev = rowMap.get(cid)
if (prev) {
prev.bytes += acc.bytes
prev.packets += acc.packets
} else {
rowMap.set(cid, acc)
}
colTotals.set(cid, (colTotals.get(cid) ?? 0) + val)
}
const topCols = [...colTotals.entries()]
.sort((a, b) => b[1] - a[1])
.slice(0, PIVOT_COL_CAP)
.map(([id]) => id)
const topColSet = new Set(topCols)
const folded = new Map<string, Map<string, number>>()
const foldedColTotals = new Map<string, number>()
let otherBytes = 0
for (const [rid, cols] of cell) {
const rowMap = new Map<string, number>()
for (const [cid, acc] of cols) {
const val = metric === "packets" ? acc.packets : acc.bytes
const dest = topColSet.has(cid) ? cid : PIVOT_OTHER_ID
if (dest === PIVOT_OTHER_ID) otherBytes += val
rowMap.set(dest, (rowMap.get(dest) ?? 0) + val)
foldedColTotals.set(dest, (foldedColTotals.get(dest) ?? 0) + val)
}
folded.set(rid, rowMap)
}
const rowTotals = new Map<string, number>()
for (const [rid, cols] of folded) {
let t = 0
for (const v of cols.values()) t += v
rowTotals.set(rid, t)
}
const topRows = [...rowTotals.entries()]
.sort((a, b) => b[1] - a[1])
.slice(0, PIVOT_ROW_CAP)
.map(([id]) => id)
const topRowSet = new Set(topRows)
const finalRows = new Map<string, Map<string, number>>()
const finalRowTotals = new Map<string, number>()
for (const [rid, cols] of folded) {
const dest = topRowSet.has(rid) ? rid : PIVOT_OTHER_ID
if (dest === PIVOT_OTHER_ID) {
for (const [cid, v] of cols) {
if (cid !== PIVOT_OTHER_ID) otherBytes += v
}
}
let rowMap = finalRows.get(dest)
if (!rowMap) {
rowMap = new Map()
finalRows.set(dest, rowMap)
}
for (const [cid, v] of cols) {
rowMap.set(cid, (rowMap.get(cid) ?? 0) + v)
}
}
for (const [rid, cols] of finalRows) {
let t = 0
for (const v of cols.values()) t += v
finalRowTotals.set(rid, t)
}
const colIds = [...topCols]
if (foldedColTotals.has(PIVOT_OTHER_ID)) colIds.push(PIVOT_OTHER_ID)
const rowIds = [...topRows]
if (finalRows.has(PIVOT_OTHER_ID) && !topRowSet.has(PIVOT_OTHER_ID)) rowIds.push(PIVOT_OTHER_ID)
const labels = await loadPivotLabels(query.row, query.col, rowIds, colIds)
return {
rowDim: query.row,
colDim: query.col,
metric,
columns: colIds.map((id) => ({
id,
label: labels.col.get(id) ?? (id === PIVOT_OTHER_ID ? "Прочие" : id),
total: foldedColTotals.get(id) ?? 0,
})),
rows: rowIds.map((id) => {
const cols = finalRows.get(id) ?? new Map()
const cells: Record<string, number> = {}
for (const cid of colIds) cells[cid] = cols.get(cid) ?? 0
return {
id,
label: labels.row.get(id) ?? (id === PIVOT_OTHER_ID ? "Прочие" : id),
total: finalRowTotals.get(id) ?? 0,
cells,
}
}),
otherBytes,
}
}
async function loadPivotLabels(
rowDim: StatisticsPivotDim,
colDim: StatisticsPivotDim,
rowIds: string[],
colIds: string[],
): Promise<{ row: Map<string, string>; col: Map<string, string> }> {
const topo = await loadFlowTopology()
const serverNames = new Map<string, string>()
const allServers = await db.select({ id: servers.id, name: servers.name, host: servers.host }).from(servers)
for (const s of allServers) serverNames.set(String(s.id), s.name || s.host)
const userNames = new Map<string, string>()
const allUsers = await db.select({ id: appUsers.id, name: appUsers.name, login: appUsers.login }).from(appUsers)
for (const u of allUsers) userNames.set(u.id, u.name || u.login)
const asnHolders = new Map<string, string>()
const asnMeta = await db.select({ asn: flowAsnMeta.asn, holder: flowAsnMeta.holder }).from(flowAsnMeta)
for (const a of asnMeta) asnHolders.set(String(a.asn), a.holder)
function label(dim: StatisticsPivotDim, id: string): string {
if (id === PIVOT_OTHER_ID) return "Прочие"
if (dim === "country") return id === "XX" ? "Неизвестно" : id
if (dim === "server") return serverNames.get(id) || id
if (dim === "user") return userNames.get(id) || id
if (dim === "asn") {
if (id === "0") return "other"
const holder = asnHolders.get(id)
return holder ? `AS${id} · ${holder}` : `AS${id}`
}
if (dim === "iface") {
const colon = id.indexOf(":")
if (colon < 0) return id
const sid = id.slice(0, colon)
const iface = id.slice(colon + 1)
const sidNum = Number(sid)
const name = Number.isFinite(sidNum) ? displayFactIface(sidNum, iface) : iface
const serverName = serverNames.get(sid) || sid
if (Number.isFinite(sidNum) && isWanFactIface(topo, sidNum, name)) {
return wanIfaceLabel(serverName, name)
}
if (Number.isFinite(sidNum) && isOverlayTunnelIface(topo, sidNum, name)) {
return overlayDupLabel(serverName, name)
}
return `${serverName} · ${name}`
}
return id
}
const row = new Map<string, string>()
const col = new Map<string, string>()
for (const id of rowIds) row.set(id, label(rowDim, id))
for (const id of colIds) col.set(id, label(colDim, id))
return { row, col }
}