feat(dashboard/vm): Phases 4.1-4.3 — Prometheus trends, sparklines, weekly digest

- prometheus.ts: new Prometheus client with 7d/30d range queries for disk,
  memory, swap, CPU steal, and disk I/O (GB/hr); getWeeklyDigestData()
  aggregates all metrics for digest and API endpoint
- routes.ts: GET /api/vm/metrics/trend?metric=…&range=… and
  GET /api/vm/weekly-digest endpoints
- api.ts: TrendPoint/TrendSeries types; getTrend() and getMemoryTrend()
  added to vmApi
- vm/page.tsx: Sparkline (pure SVG polyline+fill), TrendCard with
  latest/avg/peak and threshold colouring, TrendsPanel with lazy load
  on first open; Promise.allSettled() isolation for all 5 data panels
- vm-weekly-digest.sh: weekly Telegram digest via docker exec into
  devops-backend to reach Prometheus; emoji severity indicators; cron
  summary from /var/log/vm-cleanup.log
- systemd timer: Mon 08:00 UTC, Persistent=true (fires on next boot
  if missed); first trigger 2026-06-02

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Hermes VM 2026-05-29 00:15:11 +00:00
parent 9a073ef225
commit 8d32cb7980
7 changed files with 700 additions and 0 deletions

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@ -0,0 +1,172 @@
const PROMETHEUS_BASE =
process.env.PROMETHEUS_URL ?? 'http://learning_ai_common_plat-prometheus-1:9090';
// ── Types ──────────────────────────────────────────────────────────────────
export interface TrendPoint {
t: number; // unix ms
v: number;
}
export interface TrendSeries {
metric: string;
unit: string;
points: TrendPoint[];
latest: number;
avg: number;
peak: number;
}
export interface MemoryTrend {
available: TrendSeries;
swap: TrendSeries;
}
// ── Internal helpers ────────────────────────────────────────────────────────
function rangeParams(rangeStr: string): { start: number; end: number; step: string } {
const end = Date.now();
const days = rangeStr === '30d' ? 30 : 7;
const start = end - days * 86_400_000;
const step = days <= 7 ? '1h' : '4h';
return { start, end, step };
}
async function queryRange(query: string, start: number, end: number, step: string): Promise<TrendPoint[]> {
const url = new URL(`${PROMETHEUS_BASE}/api/v1/query_range`);
url.searchParams.set('query', query);
url.searchParams.set('start', String(Math.floor(start / 1000)));
url.searchParams.set('end', String(Math.floor(end / 1000)));
url.searchParams.set('step', step);
const res = await fetch(url.toString(), {
signal: AbortSignal.timeout(15_000),
});
if (!res.ok) throw new Error(`Prometheus ${res.status}: ${res.statusText}`);
const body = (await res.json()) as {
status: string;
error?: string;
data?: { result: Array<{ values: [number, string][] }> };
};
if (body.status !== 'success') throw new Error(`Prometheus: ${body.error ?? 'unknown error'}`);
const result = body.data?.result ?? [];
if (result.length === 0) return [];
if (result.length === 1) {
return result[0].values
.map(([ts, v]) => ({ t: ts * 1000, v: parseFloat(v) }))
.filter(p => !isNaN(p.v));
}
// Multi-series (e.g. per-CPU steal) → average by timestamp
const byTime = new Map<number, number[]>();
for (const series of result) {
for (const [ts, v] of series.values) {
const ms = ts * 1000;
const val = parseFloat(v);
if (!isNaN(val)) {
const bucket = byTime.get(ms);
if (bucket) bucket.push(val);
else byTime.set(ms, [val]);
}
}
}
return Array.from(byTime.entries())
.sort(([a], [b]) => a - b)
.map(([t, vals]) => ({ t, v: vals.reduce((s, x) => s + x, 0) / vals.length }));
}
function summarize(points: TrendPoint[]): Pick<TrendSeries, 'latest' | 'avg' | 'peak'> {
if (points.length === 0) return { latest: 0, avg: 0, peak: 0 };
const vals = points.map(p => p.v);
const latest = vals[vals.length - 1];
const avg = vals.reduce((s, v) => s + v, 0) / vals.length;
const peak = Math.max(...vals);
const round1 = (n: number) => Math.round(n * 10) / 10;
return { latest: round1(latest), avg: round1(avg), peak: round1(peak) };
}
// ── Public trend queries ────────────────────────────────────────────────────
export async function getDiskTrend(range = '7d'): Promise<TrendSeries> {
const { start, end, step } = rangeParams(range);
const points = await queryRange(
'(1 - node_filesystem_avail_bytes{mountpoint="/"} / node_filesystem_size_bytes{mountpoint="/"}) * 100',
start, end, step,
);
return { metric: 'disk', unit: '%', points, ...summarize(points) };
}
export async function getMemoryTrend(range = '7d'): Promise<MemoryTrend> {
const { start, end, step } = rangeParams(range);
const [availPts, swapPts] = await Promise.all([
queryRange('node_memory_MemAvailable_bytes / 1073741824', start, end, step),
queryRange(
'(node_memory_SwapTotal_bytes - node_memory_SwapFree_bytes) / 1073741824',
start, end, step,
),
]);
return {
available: { metric: 'ram_available', unit: 'GB', points: availPts, ...summarize(availPts) },
swap: { metric: 'swap_used', unit: 'GB', points: swapPts, ...summarize(swapPts) },
};
}
export async function getStealTrend(range = '7d'): Promise<TrendSeries> {
const { start, end, step } = rangeParams(range);
// avg() across all CPUs so multi-CPU hosts get a single % value
const points = await queryRange(
'avg(rate(node_cpu_seconds_total{mode="steal"}[5m])) * 100',
start, end, step,
);
return { metric: 'steal', unit: '%', points, ...summarize(points) };
}
export async function getIoTrend(range = '7d'): Promise<TrendSeries> {
const { start, end, step } = rangeParams(range);
// Total VM block write rate in GB/hr (sda = primary disk).
// cAdvisor does not expose per-container blkio in this setup, so we use
// the node-exporter metric which covers all processes including invttrdg.
const points = await queryRange(
'rate(node_disk_written_bytes_total{device="sda"}[5m]) * 3600 / 1073741824',
start, end, step,
);
return { metric: 'disk_io_write', unit: 'GB/hr', points, ...summarize(points) };
}
// ── Weekly digest summary (used by digest endpoint + cron) ─────────────────
export interface WeeklyDigestData {
period: { from: string; to: string };
steal: { avg: number; peak: number };
disk: { latest: number; peak: number };
ram: { avg: number; low: number };
swap: { avg: number; peak: number };
io: { avg: number; peak: number };
}
export async function getWeeklyDigestData(): Promise<WeeklyDigestData> {
const [diskData, memData, stealData, ioData] = await Promise.all([
getDiskTrend('7d'),
getMemoryTrend('7d'),
getStealTrend('7d'),
getIoTrend('7d'),
]);
const to = new Date();
const from = new Date(to.getTime() - 7 * 86_400_000);
const ramVals = memData.available.points.map(p => p.v);
const swapVals = memData.swap.points.map(p => p.v);
return {
period: { from: from.toISOString(), to: to.toISOString() },
steal: { avg: stealData.avg, peak: stealData.peak },
disk: { latest: diskData.latest, peak: diskData.peak },
ram: { avg: memData.available.avg, low: ramVals.length ? Math.min(...ramVals) : 0 },
swap: { avg: memData.swap.avg, peak: swapVals.length ? Math.max(...swapVals) : 0 },
io: { avg: ioData.avg, peak: ioData.peak },
};
}

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@ -10,6 +10,13 @@ import {
getOllamaModels,
unloadOllamaModel,
} from './repository.js';
import {
getDiskTrend,
getMemoryTrend,
getStealTrend,
getIoTrend,
getWeeklyDigestData,
} from './prometheus.js';
import { VmCleanupParamsSchema, VmContainerRestartParamsSchema } from './types.js';
export async function vmRoutes(fastify: FastifyInstance) {
@ -127,4 +134,39 @@ export async function vmRoutes(fastify: FastifyInstance) {
return reply.code(500).send({ error: error.message || 'Unload failed' });
}
});
// ── Prometheus trend queries ───────────────────────────────────────────────
// GET /api/vm/metrics/trend?metric=disk|memory|steal|io&range=7d|30d
fastify.get('/vm/metrics/trend', {
preHandler: async (req) => requireAdmin(req),
}, async (req, reply) => {
const { metric = 'disk', range = '7d' } = req.query as Record<string, string>;
const validRange = range === '30d' ? '30d' : '7d';
try {
switch (metric) {
case 'disk': return reply.send(await getDiskTrend(validRange));
case 'steal': return reply.send(await getStealTrend(validRange));
case 'io': return reply.send(await getIoTrend(validRange));
case 'memory': return reply.send(await getMemoryTrend(validRange));
default:
return reply.code(400).send({ error: `Unknown metric: ${metric}` });
}
} catch (error: any) {
fastify.log.error(error, 'Prometheus trend query failed');
return reply.code(502).send({ error: 'Prometheus unavailable' });
}
});
// GET /api/vm/weekly-digest — 7-day summary for Telegram digest
fastify.get('/vm/weekly-digest', {
preHandler: async (req) => requireAdmin(req),
}, async (_req, reply) => {
try {
return reply.send(await getWeeklyDigestData());
} catch (error: any) {
fastify.log.error(error, 'Weekly digest data failed');
return reply.code(502).send({ error: 'Prometheus unavailable' });
}
});
}

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@ -9,6 +9,7 @@ import {
type CronStatusResponse,
type UnhealthyContainer,
type OllamaModelsResponse,
type TrendSeries,
} from '@/lib/api';
import {
CheckCircle,
@ -33,6 +34,8 @@ import {
Shield,
Zap,
MemoryStick,
TrendingUp,
AlertCircle,
} from 'lucide-react';
// ── Types ──────────────────────────────────────────────────────────────────
@ -513,6 +516,256 @@ function OllamaPanel({
);
}
// ── Trend charts ──────────────────────────────────────────────────────────
function Sparkline({
points,
color = '#3b82f6',
fillColor,
min: minOverride,
max: maxOverride,
height = 48,
}: {
points: { t: number; v: number }[];
color?: string;
fillColor?: string;
min?: number;
max?: number;
height?: number;
}) {
if (points.length < 2) {
return <div className="w-full bg-gray-50 rounded" style={{ height }} />;
}
const W = 400;
const H = height;
const vals = points.map(p => p.v);
const lo = minOverride ?? Math.min(...vals);
const hi = maxOverride ?? Math.max(...vals);
const range = hi - lo || 1;
const toX = (i: number) => (i / (points.length - 1)) * W;
const toY = (v: number) => H - ((v - lo) / range) * (H - 4) - 2;
const pts = points.map((p, i) => `${toX(i)},${toY(p.v)}`).join(' ');
const fillPath = `M${toX(0)},${H} ` +
points.map((p, i) => `L${toX(i)},${toY(p.v)}`).join(' ') +
` L${toX(points.length - 1)},${H} Z`;
return (
<svg
viewBox={`0 0 ${W} ${H}`}
className="w-full"
style={{ height }}
preserveAspectRatio="none"
>
{fillColor && <path d={fillPath} fill={fillColor} opacity="0.15" />}
<polyline points={pts} fill="none" stroke={color} strokeWidth="1.5" strokeLinejoin="round" />
{/* Latest value dot */}
<circle
cx={toX(points.length - 1)}
cy={toY(vals[vals.length - 1])}
r="3"
fill={color}
/>
</svg>
);
}
function TrendCard({
title,
series,
color,
fillColor,
unit,
warnThreshold,
critThreshold,
higherIsBetter = false,
min,
max,
note,
}: {
title: string;
series: TrendSeries | null | undefined;
color: string;
fillColor: string;
unit: string;
warnThreshold?: number;
critThreshold?: number;
higherIsBetter?: boolean;
min?: number;
max?: number;
note?: string;
}) {
if (!series) {
return (
<div className="bg-white border border-gray-200 rounded-lg p-4 space-y-2">
<p className="text-sm font-medium text-gray-500">{title}</p>
<div className="h-12 bg-gray-50 rounded animate-pulse" />
</div>
);
}
const { latest, avg, peak, points } = series;
const isBad = (v: number) => {
if (higherIsBetter) return critThreshold !== undefined && v < critThreshold;
return critThreshold !== undefined && v >= critThreshold;
};
const isWarn = (v: number) => {
if (higherIsBetter) return warnThreshold !== undefined && v < warnThreshold;
return warnThreshold !== undefined && v >= warnThreshold;
};
const latestColor = isBad(latest)
? 'text-red-600'
: isWarn(latest)
? 'text-yellow-600'
: 'text-gray-900';
const fmt = (v: number) =>
v < 10 ? v.toFixed(1) : Math.round(v).toString();
return (
<div className="bg-white border border-gray-200 rounded-lg p-4 space-y-2">
<div className="flex items-center justify-between">
<p className="text-sm font-medium text-gray-600">{title}</p>
<span className={`text-lg font-bold tabular-nums ${latestColor}`}>
{fmt(latest)}<span className="text-xs font-normal text-gray-400 ml-0.5">{unit}</span>
</span>
</div>
<Sparkline points={points} color={color} fillColor={fillColor} min={min} max={max} />
<div className="flex items-center justify-between text-xs text-gray-400">
<span>avg {fmt(avg)}{unit}</span>
<span>peak {fmt(peak)}{unit}</span>
<span>{points.length}pts · 7d</span>
</div>
{note && (
<p className="text-xs text-yellow-700 bg-yellow-50 rounded px-2 py-1">{note}</p>
)}
</div>
);
}
interface TrendsData {
disk: TrendSeries | null;
steal: TrendSeries | null;
ram: TrendSeries | null;
swap: TrendSeries | null;
io: TrendSeries | null;
}
function TrendsPanel({
data,
loading,
onOpen,
}: {
data: TrendsData;
loading: boolean;
onOpen: () => void;
}) {
const [open, setOpen] = useState(false);
const handleToggle = () => {
const next = !open;
setOpen(next);
if (next) onOpen();
};
const ioNote = data.io && data.io.avg > 0.5
? `VM writes avg ${data.io.avg.toFixed(1)} GB/hr (${(data.io.avg * 24).toFixed(0)} GB/day) — investigate source if sustained`
: undefined;
return (
<div className="bg-white border border-gray-200 rounded-lg overflow-hidden">
<button
className="w-full flex items-center justify-between px-6 py-4 text-left hover:bg-gray-50"
onClick={handleToggle}
>
<div className="flex items-center gap-2">
<TrendingUp className="w-5 h-5 text-gray-500" />
<span className="font-semibold text-gray-900">7-Day Trends</span>
<span className="text-xs text-gray-400">Prometheus · 1h resolution</span>
{data.io && data.io.avg > 0.5 && (
<span className="flex items-center gap-1 text-xs text-yellow-700 bg-yellow-50 border border-yellow-200 px-2 py-0.5 rounded-full">
<AlertCircle className="w-3 h-3" /> I/O anomaly
</span>
)}
</div>
{open
? <ChevronUp className="w-4 h-4 text-gray-400" />
: <ChevronDown className="w-4 h-4 text-gray-400" />}
</button>
{open && (
<div className="border-t border-gray-100 p-4">
{loading ? (
<div className="grid grid-cols-1 sm:grid-cols-2 xl:grid-cols-3 gap-4">
{Array.from({ length: 5 }).map((_, i) => (
<div key={i} className="bg-gray-50 rounded-lg h-28 animate-pulse" />
))}
</div>
) : (
<div className="grid grid-cols-1 sm:grid-cols-2 xl:grid-cols-3 gap-4">
<TrendCard
title="Disk Used %"
series={data.disk}
color="#ef4444"
fillColor="#ef4444"
unit="%"
warnThreshold={55}
critThreshold={70}
min={0}
max={100}
/>
<TrendCard
title="RAM Available"
series={data.ram}
color="#3b82f6"
fillColor="#3b82f6"
unit="GB"
warnThreshold={3}
critThreshold={1}
higherIsBetter
min={0}
/>
<TrendCard
title="Swap Used"
series={data.swap}
color="#f59e0b"
fillColor="#f59e0b"
unit="GB"
warnThreshold={1.5}
critThreshold={3}
min={0}
/>
<TrendCard
title="CPU Steal %"
series={data.steal}
color="#8b5cf6"
fillColor="#8b5cf6"
unit="%"
warnThreshold={5}
critThreshold={15}
min={0}
/>
<TrendCard
title="VM Disk Writes (sda)"
series={data.io}
color="#f97316"
fillColor="#f97316"
unit="GB/hr"
warnThreshold={0.5}
critThreshold={1.5}
min={0}
note={ioNote}
/>
</div>
)}
</div>
)}
</div>
);
}
// ── Check card meta ────────────────────────────────────────────────────────
const CHECK_META: Record<string, { label: string; icon: React.ElementType }> = {
@ -559,6 +812,10 @@ export default function VmHealthPage() {
const [unloading, setUnloading] = useState<Set<string>>(new Set());
const [trends, setTrends] = useState<TrendsData>({ disk: null, steal: null, ram: null, swap: null, io: null });
const [trendsLoading, setTrendsLoading] = useState(false);
const [trendsLoaded, setTrendsLoaded] = useState(false);
const [showLog, setShowLog] = useState(false);
const [lastRefreshed, setLastRefreshed] = useState<Date | null>(null);
@ -595,6 +852,29 @@ export default function VmHealthPage() {
const handleRefresh = () => { setRefreshing(true); loadAll(); };
const loadTrends = useCallback(async () => {
if (trendsLoading) return;
setTrendsLoading(true);
try {
const [diskRes, stealRes, memRes, ioRes] = await Promise.allSettled([
vmApi.getTrend('disk', '7d'),
vmApi.getTrend('steal', '7d'),
vmApi.getMemoryTrend('7d'),
vmApi.getTrend('io', '7d'),
]);
setTrends({
disk: diskRes.status === 'fulfilled' ? diskRes.value : null,
steal: stealRes.status === 'fulfilled' ? stealRes.value : null,
ram: memRes.status === 'fulfilled' ? memRes.value.available : null,
swap: memRes.status === 'fulfilled' ? memRes.value.swap : null,
io: ioRes.status === 'fulfilled' ? ioRes.value : null,
});
setTrendsLoaded(true);
} finally {
setTrendsLoading(false);
}
}, [trendsLoading]);
const handleCleanup = async (mode: 'weekly' | 'monthly' | 'dry-run') => {
const msg =
mode === 'monthly' ? 'Run MONTHLY full cleanup? This removes build cache, pnpm store, old logs, and HOLD node_modules.' :
@ -787,6 +1067,13 @@ export default function VmHealthPage() {
unloading={unloading}
/>
{/* ── 7-day trends ── */}
<TrendsPanel
data={trends}
loading={trendsLoading}
onOpen={() => { if (!trendsLoaded && !trendsLoading) loadTrends(); }}
/>
{/* ── Cleanup section ── */}
<div className="bg-white border border-gray-200 rounded-lg p-6">
<div className="flex items-center gap-3 mb-5">

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@ -512,8 +512,25 @@ export const vmApi = {
`/api/vm/ollama/models/${encodeURIComponent(name)}`,
{ method: 'DELETE' },
),
getTrend: (metric: 'disk' | 'steal' | 'io', range: '7d' | '30d') =>
apiRequest<TrendSeries>(`/api/vm/metrics/trend?metric=${metric}&range=${range}`),
getMemoryTrend: (range: '7d' | '30d') =>
apiRequest<{ available: TrendSeries; swap: TrendSeries }>(
`/api/vm/metrics/trend?metric=memory&range=${range}`,
),
};
export interface TrendPoint { t: number; v: number }
export interface TrendSeries {
metric: string;
unit: string;
points: TrendPoint[];
latest: number;
avg: number;
peak: number;
}
// Auth API - calls platform-service for authentication
export interface LoginRequest {
email: string;

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@ -0,0 +1,160 @@
#!/usr/bin/env bash
# =============================================================================
# vm-weekly-digest.sh — Weekly Telegram summary for srv1491630
#
# Queries Prometheus via the devops-backend container (which is on the same
# Docker network as Prometheus), collects cleanup history, and sends a
# formatted summary to Telegram.
#
# Runs via systemd timer every Monday at 08:00 UTC.
# =============================================================================
set -Eeuo pipefail
TOKEN_FILE="${HERMES_HOME:-/root/.hermes}/.env"
BACKEND_CONTAINER="devops-backend"
PROM="http://learning_ai_common_plat-prometheus-1:9090"
# ── Helpers ─────────────────────────────────────────────────────────────────
log() { echo "[$(date -u '+%Y-%m-%dT%H:%M:%SZ')] $*" >&2; }
prom_query() {
# Run a Prometheus instant query from inside the backend container.
# Returns the first result value, or "?" on failure.
local query="$1"
docker exec "$BACKEND_CONTAINER" \
curl -sf --max-time 10 \
"${PROM}/api/v1/query?$(printf 'query=%s' "$(python3 -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$query")")" \
2>/dev/null \
| python3 -c "
import json,sys
try:
d=json.load(sys.stdin)
r=d['data']['result']
print(round(float(r[0]['value'][1]),1) if r else '?')
except Exception:
print('?')
" 2>/dev/null || echo "?"
}
prom_range_avg() {
# 7-day range_query, return average of all values.
local query="$1"
local now step start
now=$(date +%s)
start=$(( now - 7 * 86400 ))
step="3600"
docker exec "$BACKEND_CONTAINER" \
curl -sf --max-time 15 \
"${PROM}/api/v1/query_range?$(printf 'query=%s&start=%s&end=%s&step=%s' \
"$(python3 -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$query")" \
"$start" "$now" "$step")" \
2>/dev/null \
| python3 -c "
import json,sys
try:
d=json.load(sys.stdin)
vals=[float(v) for s in d['data']['result'] for _,v in s['values']]
if vals: print(round(sum(vals)/len(vals),1))
else: print('?')
except Exception:
print('?')
" 2>/dev/null || echo "?"
}
# ── Check backend container is running ───────────────────────────────────────
if ! docker ps --format '{{.Names}}' 2>/dev/null | grep -q "^${BACKEND_CONTAINER}$"; then
log "ERROR: ${BACKEND_CONTAINER} is not running — skipping weekly digest"
exit 1
fi
# ── Collect metrics ──────────────────────────────────────────────────────────
log "Collecting 7-day metrics from Prometheus..."
STEAL_AVG=$(prom_range_avg 'avg(rate(node_cpu_seconds_total{mode="steal"}[5m])) * 100')
DISK_NOW=$(prom_query '(1 - node_filesystem_avail_bytes{mountpoint="/"} / node_filesystem_size_bytes{mountpoint="/"}) * 100')
RAM_AVG=$(prom_range_avg 'node_memory_MemAvailable_bytes / 1073741824')
SWAP_AVG=$(prom_range_avg '(node_memory_SwapTotal_bytes - node_memory_SwapFree_bytes) / 1073741824')
IO_AVG=$(prom_range_avg 'rate(node_disk_written_bytes_total{device="sda"}[5m]) * 3600 / 1073741824')
# Unhealthy containers (current)
UNHEALTHY=$(docker ps --filter health=unhealthy --format '{{.Names}}' 2>/dev/null | wc -l || echo "?")
# Cleanup summary from log (last 7 days)
CLEANUP_LOG="/var/log/vm-cleanup.log"
CLEANUPS_THIS_WEEK=0
if [[ -f "$CLEANUP_LOG" ]]; then
WEEK_AGO=$(date -u -d "7 days ago" '+%Y-%m-%dT' 2>/dev/null || date -u -v-7d '+%Y-%m-%dT' 2>/dev/null || true)
if [[ -n "$WEEK_AGO" ]]; then
CLEANUPS_THIS_WEEK=$(awk -v cutoff="$WEEK_AGO" '
/\[START\]/ { in_block=1 }
in_block && /\[([0-9]{4}-[0-9]{2}-[0-9]{2}T)/ {
match($0, /\[([0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9:Z]+)\]/, a)
if (a[1] >= cutoff) count++
in_block=0
}
END { print count+0 }
' "$CLEANUP_LOG" 2>/dev/null || echo 0)
fi
fi
# ── Build Telegram message ────────────────────────────────────────────────────
# Determine severity indicators
steal_icon="✅"; [[ "$STEAL_AVG" != "?" ]] && (( $(echo "$STEAL_AVG > 15" | python3 -c "import sys; print(int(eval(sys.stdin.read())))") )) && steal_icon="🚨"
[[ "$STEAL_AVG" != "?" ]] && (( $(echo "$STEAL_AVG > 5" | python3 -c "import sys; print(int(eval(sys.stdin.read())))") )) && steal_icon="⚠️"
disk_icon="✅"; [[ "$DISK_NOW" != "?" ]] && (( $(echo "$DISK_NOW > 70" | python3 -c "import sys; print(int(eval(sys.stdin.read())))") )) && disk_icon="🚨"
[[ "$DISK_NOW" != "?" ]] && (( $(echo "$DISK_NOW > 55" | python3 -c "import sys; print(int(eval(sys.stdin.read())))") )) && disk_icon="⚠️"
ram_icon="✅"; [[ "$RAM_AVG" != "?" ]] && (( $(echo "$RAM_AVG < 1" | python3 -c "import sys; print(int(eval(sys.stdin.read())))") )) && ram_icon="🚨"
[[ "$RAM_AVG" != "?" ]] && (( $(echo "$RAM_AVG < 3" | python3 -c "import sys; print(int(eval(sys.stdin.read())))") )) && ram_icon="⚠️"
svc_icon="✅"; [[ "$UNHEALTHY" -gt 0 ]] 2>/dev/null && svc_icon="⚠️"
[[ "$UNHEALTHY" -gt 5 ]] 2>/dev/null && svc_icon="🚨"
io_icon="✅"; [[ "$IO_AVG" != "?" ]] && (( $(echo "$IO_AVG > 1.5" | python3 -c "import sys; print(int(eval(sys.stdin.read())))") )) && io_icon="🚨"
[[ "$IO_AVG" != "?" ]] && (( $(echo "$IO_AVG > 0.5" | python3 -c "import sys; print(int(eval(sys.stdin.read())))") )) && io_icon="⚠️"
WEEK_END=$(date -u '+%Y-%m-%d')
WEEK_START=$(date -u -d "7 days ago" '+%Y-%m-%d' 2>/dev/null || date -u -v-7d '+%Y-%m-%d' 2>/dev/null || echo "N/A")
MSG="📊 Weekly VM Digest — $(hostname)
Week ${WEEK_START}${WEEK_END}
${steal_icon} CPU Steal: ${STEAL_AVG}% avg
${disk_icon} Disk: ${DISK_NOW}% used
${ram_icon} RAM: ${RAM_AVG} GB free avg
⏩ Swap: ${SWAP_AVG} GB avg
${svc_icon} Containers: ${UNHEALTHY} unhealthy now
${io_icon} Disk Writes: ${IO_AVG} GB/hr avg (sda total)
🧹 Cleanups: ${CLEANUPS_THIS_WEEK} this week
Dashboard: https://devops.bytelyst.com"
# ── Send Telegram ─────────────────────────────────────────────────────────────
TELEGRAM_TOKEN=""
TELEGRAM_CHAT_ID=""
if [[ -f "$TOKEN_FILE" ]]; then
TELEGRAM_TOKEN=$(grep -oP '(?<=TELEGRAM_BOT_TOKEN=)\S+' "$TOKEN_FILE" 2>/dev/null || true)
TELEGRAM_CHAT_ID=$(grep -oP '(?<=TELEGRAM_CHAT_ID=)\S+' "$TOKEN_FILE" 2>/dev/null || true)
fi
if [[ -z "$TELEGRAM_TOKEN" || -z "$TELEGRAM_CHAT_ID" ]]; then
log "No Telegram credentials — printing digest to stdout:"
echo "$MSG"
exit 0
fi
log "Sending weekly digest to Telegram..."
if curl -sf -X POST "https://api.telegram.org/bot${TELEGRAM_TOKEN}/sendMessage" \
-d chat_id="$TELEGRAM_CHAT_ID" \
-d text="$MSG" > /dev/null; then
log "Weekly digest sent"
else
log "ERROR: Telegram send failed"
exit 1
fi

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[Unit]
Description=Send weekly VM health digest via Telegram
After=docker.service network-online.target
Requires=docker.service
[Service]
Type=oneshot
User=root
Group=root
Environment="HERMES_HOME=/root/.hermes"
ExecStart=/usr/local/bin/vm-weekly-digest.sh

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[Unit]
Description=Run weekly VM Telegram digest every Monday 08:00 UTC
After=docker.service
[Timer]
OnCalendar=Mon 08:00 UTC
AccuracySec=5min
Persistent=true
[Install]
WantedBy=timers.target