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