feat(route-optimizer): enhance AI settings management and UI integration for route optimization
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This commit is contained in:
2026-03-04 23:22:09 +07:00
parent 963828f9e8
commit 7b7ef1ab45
3 changed files with 450 additions and 34 deletions
+126 -26
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@@ -9,6 +9,23 @@ const { readServersFromS3 } = require('./serversRoutes');
const NETWORK_MAP_CACHE_KEY = 'network-map-cache/latest.json';
const NETWORK_CONFIG_KEY = 'network-config.json';
const UI_SETTINGS_KEY = 'bgp_data/rt_ui_settings.json';
const DEFAULT_AI_SETTINGS = {
latencyWeight: 0.55,
bandwidthWeight: 0.35,
freshnessWeight: 0.1,
combineHomeToJumphostWeight: 0.45,
combineJumphostToExitWeight: 0.55,
probabilityScale: 5,
minProbabilityGainForSwitch: 10,
noPingScore: 0.2,
noSpeedScore: 0.15,
staleScore: 0.35,
freshnessExcellentSeconds: 120,
freshnessGoodSeconds: 600,
freshnessFairSeconds: 1800,
};
function asObject(v) {
return v && typeof v === 'object' ? v : {};
@@ -23,6 +40,11 @@ function clamp(n, min, max) {
return Math.max(min, Math.min(max, n));
}
function positiveNumber(v, fallback) {
const n = Number(v);
return Number.isFinite(n) && n > 0 ? n : fallback;
}
function makeServerKey(server) {
if (!server || typeof server !== 'object') return '';
return String(server.id || server.dns || server.ip || '').trim();
@@ -47,35 +69,41 @@ function pairProbability(items, scoreGetter) {
return exps.map((x) => (x / sum) * 100);
}
function latencyScore(pingMs) {
if (typeof pingMs !== 'number') return 0.2;
function latencyScore(pingMs, aiSettings) {
if (typeof pingMs !== 'number') return aiSettings.noPingScore;
const normalized = 1 / (1 + pingMs / 35);
return clamp(normalized, 0, 1);
}
function bandwidthScore(speedMbps) {
if (typeof speedMbps !== 'number' || speedMbps <= 0) return 0.15;
function bandwidthScore(speedMbps, aiSettings) {
if (typeof speedMbps !== 'number' || speedMbps <= 0) return aiSettings.noSpeedScore;
// log-scale to avoid dominance by very high channels
const normalized = Math.log10(1 + speedMbps) / Math.log10(1001);
return clamp(normalized, 0, 1);
}
function freshnessScore(cacheUpdatedAt) {
if (typeof cacheUpdatedAt !== 'number') return 0.4;
function freshnessScore(cacheUpdatedAt, aiSettings) {
if (typeof cacheUpdatedAt !== 'number') return aiSettings.staleScore;
const ageMs = Math.max(0, Date.now() - cacheUpdatedAt);
if (ageMs <= 2 * 60 * 1000) return 1;
if (ageMs <= 10 * 60 * 1000) return 0.8;
if (ageMs <= 30 * 60 * 1000) return 0.6;
return 0.35;
const excellentMs = aiSettings.freshnessExcellentSeconds * 1000;
const goodMs = aiSettings.freshnessGoodSeconds * 1000;
const fairMs = aiSettings.freshnessFairSeconds * 1000;
if (ageMs <= excellentMs) return 1;
if (ageMs <= goodMs) return 0.8;
if (ageMs <= fairMs) return 0.6;
return aiSettings.staleScore;
}
function buildSegmentScore({ pingMs, speedMbps, cacheUpdatedAt }) {
const l = latencyScore(pingMs);
const b = bandwidthScore(speedMbps);
const f = freshnessScore(cacheUpdatedAt);
function buildSegmentScore({ pingMs, speedMbps, cacheUpdatedAt, aiSettings }) {
const l = latencyScore(pingMs, aiSettings);
const b = bandwidthScore(speedMbps, aiSettings);
const f = freshnessScore(cacheUpdatedAt, aiSettings);
const metricPresence = (typeof pingMs === 'number' ? 1 : 0) + (typeof speedMbps === 'number' ? 1 : 0);
const confidence = metricPresence === 2 ? 1 : metricPresence === 1 ? 0.65 : 0.35;
const score = l * 0.55 + b * 0.35 + f * 0.1;
const score =
l * aiSettings.latencyWeight +
b * aiSettings.bandwidthWeight +
f * aiSettings.freshnessWeight;
return { score: clamp(score, 0, 1), confidence };
}
@@ -168,7 +196,69 @@ async function loadNetworkConfig() {
}
}
function buildInterfaceCandidates({ servers, tunnelInterfaces, pingMap, speedMap, cacheUpdatedAt }) {
async function loadAiSettings() {
try {
const raw = await readS3TextObject(UI_SETTINGS_KEY).catch(() => null);
const parsed = raw?.body ? JSON.parse(raw.body || '{}') : {};
const src = asObject(parsed?.aiRouteOptimizer);
const latencyWeight = positiveNumber(src.latencyWeight, DEFAULT_AI_SETTINGS.latencyWeight);
const bandwidthWeight = positiveNumber(src.bandwidthWeight, DEFAULT_AI_SETTINGS.bandwidthWeight);
const freshnessWeight = positiveNumber(src.freshnessWeight, DEFAULT_AI_SETTINGS.freshnessWeight);
const sum = latencyWeight + bandwidthWeight + freshnessWeight || 1;
const hjW = positiveNumber(
src.combineHomeToJumphostWeight,
DEFAULT_AI_SETTINGS.combineHomeToJumphostWeight
);
const jeW = positiveNumber(
src.combineJumphostToExitWeight,
DEFAULT_AI_SETTINGS.combineJumphostToExitWeight
);
const sum2 = hjW + jeW || 1;
return {
latencyWeight: latencyWeight / sum,
bandwidthWeight: bandwidthWeight / sum,
freshnessWeight: freshnessWeight / sum,
combineHomeToJumphostWeight: hjW / sum2,
combineJumphostToExitWeight: jeW / sum2,
probabilityScale: clamp(
positiveNumber(src.probabilityScale, DEFAULT_AI_SETTINGS.probabilityScale),
0.5,
20
),
minProbabilityGainForSwitch: clamp(
positiveNumber(
src.minProbabilityGainForSwitch,
DEFAULT_AI_SETTINGS.minProbabilityGainForSwitch
),
0,
100
),
noPingScore: clamp(positiveNumber(src.noPingScore, DEFAULT_AI_SETTINGS.noPingScore), 0, 1),
noSpeedScore: clamp(positiveNumber(src.noSpeedScore, DEFAULT_AI_SETTINGS.noSpeedScore), 0, 1),
staleScore: clamp(positiveNumber(src.staleScore, DEFAULT_AI_SETTINGS.staleScore), 0, 1),
freshnessExcellentSeconds: clamp(
positiveNumber(src.freshnessExcellentSeconds, DEFAULT_AI_SETTINGS.freshnessExcellentSeconds),
10,
86400
),
freshnessGoodSeconds: clamp(
positiveNumber(src.freshnessGoodSeconds, DEFAULT_AI_SETTINGS.freshnessGoodSeconds),
10,
86400
),
freshnessFairSeconds: clamp(
positiveNumber(src.freshnessFairSeconds, DEFAULT_AI_SETTINGS.freshnessFairSeconds),
10,
86400
),
};
} catch (_) {
return { ...DEFAULT_AI_SETTINGS };
}
}
function buildInterfaceCandidates({ servers, tunnelInterfaces, pingMap, speedMap, cacheUpdatedAt, aiSettings }) {
const byRef = new Map();
servers.forEach((s) => {
const refs = [s.id, s.ip, s.dns].filter(Boolean).map((v) => String(v));
@@ -197,7 +287,7 @@ function buildInterfaceCandidates({ servers, tunnelInterfaces, pingMap, speedMap
const speedMbps = downBps != null || upBps != null
? Math.max(downBps || 0, upBps || 0) / 1e6
: null;
const scoring = buildSegmentScore({ pingMs, speedMbps, cacheUpdatedAt });
const scoring = buildSegmentScore({ pingMs, speedMbps, cacheUpdatedAt, aiSettings });
const base = {
interfaceName: iface.name || null,
@@ -244,9 +334,9 @@ function buildInterfaceCandidates({ servers, tunnelInterfaces, pingMap, speedMap
return { homeToJh, jhToExit };
}
function enrichProbabilities(candidates, scoreField = 'score') {
function enrichProbabilities(candidates, scoreField = 'score', aiSettings = DEFAULT_AI_SETTINGS) {
if (!Array.isArray(candidates) || candidates.length === 0) return [];
const probs = pairProbability(candidates, (c) => c[scoreField]);
const probs = pairProbability(candidates, (c) => c[scoreField] * aiSettings.probabilityScale);
return candidates.map((c, i) => ({
...c,
probabilityOptimal: Number(probs[i].toFixed(2)),
@@ -267,11 +357,12 @@ function buildCommunityOptimization({
exitsByJh,
serverFiltersByServerId,
communitiesIndex,
aiSettings,
}) {
const jumphostByCommunity = [];
for (const [jumphostKey, rawCandidates] of exitsByJh.entries()) {
const candidates = enrichProbabilities([...rawCandidates].sort((a, b) => b.score - a.score));
const candidates = enrichProbabilities([...rawCandidates].sort((a, b) => b.score - a.score), 'score', aiSettings);
const gatewayBestMap = new Map();
for (const c of candidates) {
const gw = String(c.gatewayIpForJumphost || '').trim();
@@ -300,7 +391,7 @@ function buildCommunityOptimization({
recommendedCandidate &&
currentCandidate &&
recommendedCandidate.gatewayIpForJumphost !== currentCandidate.gatewayIpForJumphost &&
(recommendedCandidate.probabilityOptimal - currentCandidate.probabilityOptimal) >= 10
(recommendedCandidate.probabilityOptimal - currentCandidate.probabilityOptimal) >= aiSettings.minProbabilityGainForSwitch
);
return {
@@ -344,12 +435,13 @@ function buildCommunityOptimization({
async function getRouteOptimizer(req, res) {
try {
const [servers, networkConfig, networkMapCache, communitiesIndex, serverFiltersByServerId] = await Promise.all([
const [servers, networkConfig, networkMapCache, communitiesIndex, serverFiltersByServerId, aiSettings] = await Promise.all([
readServersFromS3(),
loadNetworkConfig(),
loadNetworkMapCache(),
loadCommunitiesIndex(),
loadServerFiltersByServerId(),
loadAiSettings(),
]);
const tunnelInterfaces = Array.isArray(networkConfig.tunnelInterfaces)
@@ -362,6 +454,7 @@ async function getRouteOptimizer(req, res) {
pingMap: networkMapCache.pingMap,
speedMap: networkMapCache.speedMap,
cacheUpdatedAt: networkMapCache.updatedAt,
aiSettings,
});
const homeGroups = groupBy(homeToJh, (x) => x.homeKey);
@@ -370,14 +463,19 @@ async function getRouteOptimizer(req, res) {
const homes = [];
for (const [homeKey, hjListRaw] of homeGroups.entries()) {
const hjList = enrichProbabilities(hjListRaw.sort((a, b) => b.score - a.score));
const hjList = enrichProbabilities(hjListRaw.sort((a, b) => b.score - a.score), 'score', aiSettings);
const bestHomeToJumphost = hjList[0] || null;
const fullRoutesRaw = [];
for (const hj of hjList) {
const exitCandidates = exitsByJh.get(hj.jumphostKey) || [];
for (const jhExit of exitCandidates) {
const combinedScore = clamp(hj.score * 0.45 + jhExit.score * 0.55, 0, 1);
const combinedScore = clamp(
hj.score * aiSettings.combineHomeToJumphostWeight +
jhExit.score * aiSettings.combineJumphostToExitWeight,
0,
1
);
fullRoutesRaw.push({
id: `${hj.id}>>>${jhExit.id}`,
home: hj.home,
@@ -403,7 +501,7 @@ async function getRouteOptimizer(req, res) {
}
}
const fullRoutes = enrichProbabilities(fullRoutesRaw.sort((a, b) => b.score - a.score));
const fullRoutes = enrichProbabilities(fullRoutesRaw.sort((a, b) => b.score - a.score), 'score', aiSettings);
const bestFullRoute = fullRoutes[0] || null;
homes.push({
@@ -418,7 +516,7 @@ async function getRouteOptimizer(req, res) {
// Also expose jumphost->exit view for transparency
const jumphostSummaries = [];
for (const [jumphostKey, exitListRaw] of exitsByJh.entries()) {
const candidates = enrichProbabilities(exitListRaw.sort((a, b) => b.score - a.score));
const candidates = enrichProbabilities(exitListRaw.sort((a, b) => b.score - a.score), 'score', aiSettings);
jumphostSummaries.push({
jumphost: candidates[0]?.jumphost || null,
bestCandidate: candidates[0] || null,
@@ -430,6 +528,7 @@ async function getRouteOptimizer(req, res) {
exitsByJh,
serverFiltersByServerId,
communitiesIndex,
aiSettings,
});
homes.sort((a, b) => {
@@ -442,6 +541,7 @@ async function getRouteOptimizer(req, res) {
ok: true,
generatedAt: Date.now(),
metricsUpdatedAt: networkMapCache.updatedAt || null,
aiSettingsUsed: aiSettings,
homes,
jumphostToExitByJumphost: jumphostSummaries,
communityOptimizationByJumphost: communityOptimization,
+14 -7
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@@ -1,4 +1,5 @@
import { useCallback, useEffect, useState } from 'react';
import { Link } from 'react-router-dom';
import {
IconRoute2,
IconRefresh,
@@ -54,10 +55,15 @@ export default function RouteOptimizerPage() {
icon={<IconBrain size={24} />}
meta="Rule-based выбор маршрутов: Home → Jumphost → Exit"
actions={(
<button type="button" className="btn btn-outline-primary" onClick={load} disabled={loading}>
<IconRefresh className={loading ? 'spin me-2' : 'me-2'} size={18} />
{loading ? 'Обновление...' : 'Обновить'}
</button>
<div className="btn-list">
<Link to="/settings#route-ai" className="btn btn-outline-secondary">
Настройки AI
</Link>
<button type="button" className="btn btn-outline-primary" onClick={load} disabled={loading}>
<IconRefresh className={loading ? 'spin me-2' : 'me-2'} size={18} />
{loading ? 'Обновление...' : 'Обновить'}
</button>
</div>
)}
/>
@@ -169,12 +175,13 @@ export default function RouteOptimizerPage() {
<div className="mt-4">
<h3 className="mb-3">Оптимизация по community и filters</h3>
<div className="text-muted small mb-3">
Рекомендации строятся на основе ваших `server-filters` (`community -> gateway`) и текущих метрик канала
`jumphost -> exit`.
Рекомендации строятся на основе ваших <code>server-filters</code> (связки
<code> community -&gt; gateway</code>) и текущих метрик канала
<code> jumphost -&gt; exit</code>.
</div>
{communityOptimization.length === 0 ? (
<div className="alert alert-info">Нет данных по `server-filters` для jumphost.</div>
<div className="alert alert-info">Нет данных по <code>server-filters</code> для jumphost.</div>
) : (
<div className="row g-3">
{communityOptimization.map((item) => {
+310 -1
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@@ -18,6 +18,7 @@ import {
IconCpu,
IconDeviceDesktop,
IconDatabase,
IconBrain,
} from '@tabler/icons-react';
import FormField from './components/FormField';
import ErrorAlert from './components/ErrorAlert';
@@ -55,6 +56,7 @@ const SIDEBAR_GROUPS = [
title: 'Аналитика',
items: [
{ id: 'traffic-interfaces', title: 'Настройка Аналитики', icon: IconChartBar },
{ id: 'route-ai', title: 'AI оптимизация маршрутов', icon: IconBrain },
],
},
{
@@ -120,6 +122,19 @@ export default function SettingsPage() {
const [serversList, setServersList] = useState([]);
const [tunnelConnections, setTunnelConnections] = useState([]);
const [tunnelThresholds, setTunnelThresholds] = useState([]);
const [aiLatencyWeight, setAiLatencyWeight] = useState('0.55');
const [aiBandwidthWeight, setAiBandwidthWeight] = useState('0.35');
const [aiFreshnessWeight, setAiFreshnessWeight] = useState('0.10');
const [aiHomeToJhWeight, setAiHomeToJhWeight] = useState('0.45');
const [aiJhToExitWeight, setAiJhToExitWeight] = useState('0.55');
const [aiProbabilityScale, setAiProbabilityScale] = useState('5');
const [aiMinProbabilityGainForSwitch, setAiMinProbabilityGainForSwitch] = useState('10');
const [aiNoPingScore, setAiNoPingScore] = useState('0.2');
const [aiNoSpeedScore, setAiNoSpeedScore] = useState('0.15');
const [aiStaleScore, setAiStaleScore] = useState('0.35');
const [aiFreshnessExcellentSeconds, setAiFreshnessExcellentSeconds] = useState('120');
const [aiFreshnessGoodSeconds, setAiFreshnessGoodSeconds] = useState('600');
const [aiFreshnessFairSeconds, setAiFreshnessFairSeconds] = useState('1800');
const [sidebarSearch, setSidebarSearch] = useState('');
const [activeSection, setActiveSection] = useState(() => {
const hash = (typeof location.hash === 'string' && location.hash.slice(1)) || '';
@@ -434,10 +449,63 @@ export default function SettingsPage() {
}))
);
const ai = data?.aiRouteOptimizer || {};
setAiLatencyWeight(
ai?.latencyWeight != null ? String(ai.latencyWeight) : '0.55'
);
setAiBandwidthWeight(
ai?.bandwidthWeight != null ? String(ai.bandwidthWeight) : '0.35'
);
setAiFreshnessWeight(
ai?.freshnessWeight != null ? String(ai.freshnessWeight) : '0.10'
);
setAiHomeToJhWeight(
ai?.combineHomeToJumphostWeight != null
? String(ai.combineHomeToJumphostWeight)
: '0.45'
);
setAiJhToExitWeight(
ai?.combineJumphostToExitWeight != null
? String(ai.combineJumphostToExitWeight)
: '0.55'
);
setAiProbabilityScale(
ai?.probabilityScale != null ? String(ai.probabilityScale) : '5'
);
setAiMinProbabilityGainForSwitch(
ai?.minProbabilityGainForSwitch != null
? String(ai.minProbabilityGainForSwitch)
: '10'
);
setAiNoPingScore(
ai?.noPingScore != null ? String(ai.noPingScore) : '0.2'
);
setAiNoSpeedScore(
ai?.noSpeedScore != null ? String(ai.noSpeedScore) : '0.15'
);
setAiStaleScore(
ai?.staleScore != null ? String(ai.staleScore) : '0.35'
);
setAiFreshnessExcellentSeconds(
ai?.freshnessExcellentSeconds != null
? String(ai.freshnessExcellentSeconds)
: '120'
);
setAiFreshnessGoodSeconds(
ai?.freshnessGoodSeconds != null
? String(ai.freshnessGoodSeconds)
: '600'
);
setAiFreshnessFairSeconds(
ai?.freshnessFairSeconds != null
? String(ai.freshnessFairSeconds)
: '1800'
);
const e =
settingsRes?.headers?.etag || settingsRes?.headers?.ETag || '';
setEtag(e ? String(e) : '');
} catch (e) {
} catch {
setError('Не удалось загрузить настройки');
} finally {
setLoading(false);
@@ -590,6 +658,51 @@ export default function SettingsPage() {
interfaceName: p.interfaceName,
}))
: [],
aiRouteOptimizer: {
latencyWeight: Math.max(0, parseFloat(aiLatencyWeight) || 0.55),
bandwidthWeight: Math.max(0, parseFloat(aiBandwidthWeight) || 0.35),
freshnessWeight: Math.max(0, parseFloat(aiFreshnessWeight) || 0.1),
combineHomeToJumphostWeight: Math.max(
0,
parseFloat(aiHomeToJhWeight) || 0.45
),
combineJumphostToExitWeight: Math.max(
0,
parseFloat(aiJhToExitWeight) || 0.55
),
probabilityScale: Math.max(
0.5,
Math.min(20, parseFloat(aiProbabilityScale) || 5)
),
minProbabilityGainForSwitch: Math.max(
0,
Math.min(100, parseFloat(aiMinProbabilityGainForSwitch) || 10)
),
noPingScore: Math.max(
0,
Math.min(1, parseFloat(aiNoPingScore) || 0.2)
),
noSpeedScore: Math.max(
0,
Math.min(1, parseFloat(aiNoSpeedScore) || 0.15)
),
staleScore: Math.max(
0,
Math.min(1, parseFloat(aiStaleScore) || 0.35)
),
freshnessExcellentSeconds: Math.max(
10,
Math.min(86400, parseInt(aiFreshnessExcellentSeconds, 10) || 120)
),
freshnessGoodSeconds: Math.max(
10,
Math.min(86400, parseInt(aiFreshnessGoodSeconds, 10) || 600)
),
freshnessFairSeconds: Math.max(
10,
Math.min(86400, parseInt(aiFreshnessFairSeconds, 10) || 1800)
),
},
alertSettings: {
serverOffline: {
enabled: alertServerOffline,
@@ -1297,6 +1410,202 @@ export default function SettingsPage() {
</>
)}
{activeSection === 'route-ai' && (
<>
<SectionHeading title="AI оптимизация маршрутов" icon={IconBrain} />
<p className="text-muted mb-4">
Настройка правил локального AI: веса метрик, вероятностная модель и пороги решений
для рекомендаций по связке <code>community -&gt; gateway</code>.
</p>
<div className="row g-2">
<div className="col-12"><h4 className="subheader">Веса метрик сегмента</h4></div>
<div className="col-12 col-md-4">
<FormField
label="Вес latency"
name="aiLatencyWeight"
type="number"
value={aiLatencyWeight}
onChange={setAiLatencyWeight}
helpText="Вклад пинга в итоговый score сегмента."
disabled={saving}
min={0}
step="0.01"
/>
</div>
<div className="col-12 col-md-4">
<FormField
label="Вес bandwidth"
name="aiBandwidthWeight"
type="number"
value={aiBandwidthWeight}
onChange={setAiBandwidthWeight}
helpText="Вклад скорости (download/upload) в score."
disabled={saving}
min={0}
step="0.01"
/>
</div>
<div className="col-12 col-md-4">
<FormField
label="Вес freshness"
name="aiFreshnessWeight"
type="number"
value={aiFreshnessWeight}
onChange={setAiFreshnessWeight}
helpText="Вклад свежести метрик в score."
disabled={saving}
min={0}
step="0.01"
/>
</div>
<div className="col-12 mt-2"><h4 className="subheader">Сборка полного маршрута</h4></div>
<div className="col-12 col-md-6">
<FormField
label="Вес Home -> Jumphost"
name="aiHomeToJhWeight"
type="number"
value={aiHomeToJhWeight}
onChange={setAiHomeToJhWeight}
helpText="Влияние сегмента Home->Jumphost на общий score."
disabled={saving}
min={0}
step="0.01"
/>
</div>
<div className="col-12 col-md-6">
<FormField
label="Вес Jumphost -> Exit"
name="aiJhToExitWeight"
type="number"
value={aiJhToExitWeight}
onChange={setAiJhToExitWeight}
helpText="Влияние сегмента Jumphost->Exit на общий score."
disabled={saving}
min={0}
step="0.01"
/>
</div>
<div className="col-12 mt-2"><h4 className="subheader">Вероятности и решения</h4></div>
<div className="col-12 col-md-6">
<FormField
label="Коэффициент softmax (probability scale)"
name="aiProbabilityScale"
type="number"
value={aiProbabilityScale}
onChange={setAiProbabilityScale}
helpText="Чем выше значение, тем агрессивнее выделяется лучший маршрут (0.5-20)."
disabled={saving}
min={0.5}
max={20}
step="0.1"
/>
</div>
<div className="col-12 col-md-6">
<FormField
label="Мин. прирост вероятности для switch (%)"
name="aiMinProbabilityGainForSwitch"
type="number"
value={aiMinProbabilityGainForSwitch}
onChange={setAiMinProbabilityGainForSwitch}
helpText="Рекомендовать переключение только если новый gateway лучше на этот %."
disabled={saving}
min={0}
max={100}
step="0.1"
/>
</div>
<div className="col-12 mt-2"><h4 className="subheader">Поведение при неполных данных</h4></div>
<div className="col-12 col-md-4">
<FormField
label="Score если нет ping"
name="aiNoPingScore"
type="number"
value={aiNoPingScore}
onChange={setAiNoPingScore}
helpText="Оценка latency при отсутствии пинга (0-1)."
disabled={saving}
min={0}
max={1}
step="0.01"
/>
</div>
<div className="col-12 col-md-4">
<FormField
label="Score если нет speed"
name="aiNoSpeedScore"
type="number"
value={aiNoSpeedScore}
onChange={setAiNoSpeedScore}
helpText="Оценка bandwidth при отсутствии скорости (0-1)."
disabled={saving}
min={0}
max={1}
step="0.01"
/>
</div>
<div className="col-12 col-md-4">
<FormField
label="Score устаревших метрик"
name="aiStaleScore"
type="number"
value={aiStaleScore}
onChange={setAiStaleScore}
helpText="Оценка freshness для старых данных (0-1)."
disabled={saving}
min={0}
max={1}
step="0.01"
/>
</div>
<div className="col-12 mt-2"><h4 className="subheader">Пороги свежести (сек)</h4></div>
<div className="col-12 col-md-4">
<FormField
label="Excellent"
name="aiFreshnessExcellentSeconds"
type="number"
value={aiFreshnessExcellentSeconds}
onChange={setAiFreshnessExcellentSeconds}
helpText="До этого порога freshness = 1.0."
disabled={saving}
min={10}
max={86400}
/>
</div>
<div className="col-12 col-md-4">
<FormField
label="Good"
name="aiFreshnessGoodSeconds"
type="number"
value={aiFreshnessGoodSeconds}
onChange={setAiFreshnessGoodSeconds}
helpText="До этого порога freshness = 0.8."
disabled={saving}
min={10}
max={86400}
/>
</div>
<div className="col-12 col-md-4">
<FormField
label="Fair"
name="aiFreshnessFairSeconds"
type="number"
value={aiFreshnessFairSeconds}
onChange={setAiFreshnessFairSeconds}
helpText="До этого порога freshness = 0.6, затем staleScore."
disabled={saving}
min={10}
max={86400}
/>
</div>
</div>
</>
)}
{activeSection === 'alerts' && (
<>
<SectionHeading title="Настройки оповещений" icon={IconBell} />