Files
Audiobuzz 1c68c37824 fleet-manager: chrony tracking metrics relative to the NTP source
The agent only reported chrony as synced|unsynced — nothing about how well the
clock tracks. Parse `chronyc tracking` for the source-relative metrics.

- proto: HealthSnapshot.chrony_offset_seconds (16, signed system-time offset,
  fast=+), chrony_source (17, reference name/IP), chrony_stratum (18); regenerated.
- agent: replace chronyState() with chronyTracking()/parseChrony() — one exec,
  parses Leap status + Reference ID + Stratum + System time offset (+ test).
- manager: Health.{ChronyOffset,ChronySource,ChronyStratum}; snapshotToHealth maps
  them; influx writes chrony_offset_seconds/_stratum/_source and whitelists the
  offset + stratum as graphable fields.
- UI: chronySummary() + offsetMs() — the chrony row now shows
  "synced · 192.168.50.10 · s3 · +0.01ms" instead of just "synced".
2026-07-10 06:47:27 +00:00

146 lines
4.7 KiB
Go

// influx.go — the metrics gateway. The manager is the ONLY thing that talks to
// InfluxDB (both directions): it writes each agent HealthSnapshot as a time-series
// point (tagged with the AUTHENTICATED host identity, so a host can only write its
// own series), and it answers the SPA's read queries via Flux — hosts never hold
// an InfluxDB token or reach InfluxDB. See docs/fleet-management-design.md.
package main
import (
"context"
"fmt"
"log"
"regexp"
"time"
influxdb2 "github.com/influxdata/influxdb-client-go/v2"
"github.com/influxdata/influxdb-client-go/v2/api"
"github.com/influxdata/influxdb-client-go/v2/api/write"
fleetpb "fleet-manager/proto"
)
const influxMeasurement = "fleet_health"
// metricFields is the whitelist of queryable numeric fields. A read request's
// ?field= MUST be one of these — never interpolate caller input into Flux.
var metricFields = map[string]bool{
"load_avg": true, "cpu_pct": true, "temp_c": true, "mem_used_pct": true,
"tmpfs_used_pct": true, "chromium_crashes": true, "kiosk_active": true,
"uptime_seconds": true, "chrony_offset_seconds": true, "chrony_stratum": true,
}
var serialRe = regexp.MustCompile(`^[0-9a-fA-F]+$`) // cert serials are hex
type influxConfig struct {
url, token, org, bucket string
}
type influxSink struct {
client influxdb2.Client
write api.WriteAPIBlocking
query api.QueryAPI
bucket string
}
func newInfluxSink(c influxConfig) *influxSink {
cl := influxdb2.NewClient(c.url, c.token)
return &influxSink{
client: cl,
write: cl.WriteAPIBlocking(c.org, c.bucket),
query: cl.QueryAPI(c.org),
bucket: c.bucket,
}
}
func (s *influxSink) Close() { s.client.Close() }
// WriteSnapshot implements MetricsSink.
func (s *influxSink) WriteSnapshot(serial, hostnqn, starship string, snap *fleetpb.HealthSnapshot, at time.Time) {
ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
defer cancel()
if err := s.write.WritePoint(ctx, snapshotPoint(serial, hostnqn, starship, snap, at)); err != nil {
log.Printf("influx write %s: %v", serial, err)
}
}
// snapshotPoint builds the InfluxDB point (pure — unit-tested). Identity rides as
// TAGS (indexed, low-cardinality-ish per fleet); telemetry as FIELDS.
func snapshotPoint(serial, hostnqn, starship string, snap *fleetpb.HealthSnapshot, at time.Time) *write.Point {
tags := map[string]string{"serial": serial}
if hostnqn != "" {
tags["hostnqn"] = hostnqn
}
if starship != "" {
tags["starship"] = starship
}
fields := map[string]any{
"load_avg": snap.GetLoadAvg(),
"cpu_pct": snap.GetCpuPct(),
"temp_c": snap.GetTempC(),
"mem_used_pct": snap.GetMemUsedPct(),
"tmpfs_used_pct": snap.GetTmpfsUsedPct(),
"chromium_crashes": int64(snap.GetChromiumCrashes()),
"kiosk_active": boolToInt(snap.GetKioskActive()),
"uptime_seconds": snap.GetUptimeSeconds(),
"chrony_offset_seconds": snap.GetChronyOffsetSeconds(),
"chrony_stratum": int64(snap.GetChronyStratum()),
"chrony_source": snap.GetChronySource(),
// string status fields kept as fields too (handy for annotating charts)
"nvme_root": snap.GetNvmeRoot(),
"auth": snap.GetAuth(),
"selinux": snap.GetSelinux(),
"chrony": snap.GetChrony(),
}
return influxdb2.NewPoint(influxMeasurement, tags, fields, at)
}
func boolToInt(b bool) int64 {
if b {
return 1
}
return 0
}
type metricPoint struct {
Time time.Time `json:"t"`
Value any `json:"v"`
}
// QueryField returns the time-series for one whitelisted field of one host.
func (s *influxSink) QueryField(ctx context.Context, serial, field string, rng time.Duration) ([]metricPoint, error) {
if !serialRe.MatchString(serial) {
return nil, fmt.Errorf("invalid serial")
}
if !metricFields[field] {
return nil, fmt.Errorf("unknown field %q", field)
}
res, err := s.query.Query(ctx, fluxQuery(s.bucket, serial, field, rng))
if err != nil {
return nil, err
}
defer res.Close()
var out []metricPoint
for res.Next() {
out = append(out, metricPoint{Time: res.Record().Time(), Value: res.Record().Value()})
}
if err := res.Err(); err != nil {
return nil, err
}
return out, nil
}
// fluxQuery builds the read query (pure — unit-tested). serial and field are
// validated by the caller (hex / whitelist), and the range is a parsed duration
// rendered as an integer second count, so NOTHING here is raw caller input.
func fluxQuery(bucket, serial, field string, rng time.Duration) string {
secs := int64(rng.Seconds())
if secs <= 0 {
secs = 3600
}
return fmt.Sprintf(`from(bucket:%q)
|> range(start: -%ds)
|> filter(fn: (r) => r._measurement == %q and r.serial == %q and r._field == %q)
|> keep(columns: ["_time","_value"])`,
bucket, secs, influxMeasurement, serial, field)
}