Files
s3/weed/admin/dash/dashboard_metrics.go
zooqueen dd74d3e6d6 Replace AGPL MinIO fork with Apache-2.0 SeaweedFS fork; rebrand CLI weed->s3
hanzoai/s3 was an AGPL-3.0 MinIO fork whose network-copyleft blocks embedding
and reselling as a managed service. Replace it wholesale with a fork of
SeaweedFS (github.com/seaweedfs/seaweedfs, Apache-2.0, Go) which ships a
built-in S3 gateway + Filer.

- License: AGPL-3.0 -> Apache-2.0 (upstream LICENSE kept verbatim, incl.
  "Copyright 2025 Chris Lu"); NOTICE added crediting SeaweedFS. No AGPL/BUSL/
  SSPL/GPL or enterprise ("ee") files remain.
- Module: go.mod path set to github.com/hanzoai/s3 with a self-replace
  (replace github.com/seaweedfs/seaweedfs => ./) so the ~1800 internal Go files
  keep their upstream import paths with zero churn. Internal identifiers and
  import paths are intentionally NOT renamed.
- CLI rebrand: the binary is built as `s3` (was `weed`); root usage, per-command
  help/usage/flag strings, shell autocomplete program name, and the product name
  in CLI output now read "Hanzo S3" / `s3`. Users never see `weed`.
  (e.g. `s3 server`, `s3 filer`, `s3 master`, `s3 volume`, `s3 s3`, `s3 mount`.)
- Build: `make` (or `go build -o s3 ./weed`) builds the `s3` binary green;
  `cmd/weed-db` and `cmd/weed-sql` also build; `go vet ./weed/command/` clean.
- README/LLM.md rewritten for Hanzo S3; AGENTS.md/CLAUDE.md symlinks preserved.
- Dropped a 33MB prebuilt Mach-O `stress` binary upstream had committed; `.gitignore`
  updated to ignore the `s3` build output.
2026-06-18 23:41:25 -07:00

180 lines
5.6 KiB
Go

package dash
import (
"fmt"
"strings"
"time"
)
// dashMaxSamples bounds the in-memory trend ring buffer. At the 15s sample
// cadence (piggy-backed on publishMaintenanceMetrics) this is ~15 minutes.
const dashMaxSamples = 60
// dashSample is one point-in-time snapshot of a few headline cluster numbers,
// derived from data the admin already holds (cluster topology + the in-process
// maintenance queue) — no Prometheus scrape required.
type dashSample struct {
t time.Time
volumes float64
ecShards float64
diskUsed float64
files float64
tasks float64 // pending/assigned/in-progress maintenance tasks
workers float64
}
// DashboardTrends carries inline-SVG sparklines of recent cluster history,
// keyed to the dashboard's existing summary cards so each card shows a value
// plus its trend (rather than a separate, duplicate row). Maintenance metrics
// that have no existing card carry their current value too, and fill the
// previously-empty columns of the EC row.
type DashboardTrends struct {
Samples int `json:"samples"`
// Sparklines (raw <svg>) for the existing summary cards.
Volumes string `json:"-"`
Files string `json:"-"`
DiskUsed string `json:"-"`
EcShards string `json:"-"`
// Maintenance cards: value + sparkline.
Tasks string `json:"-"`
TasksValue string `json:"tasks"`
Workers string `json:"-"`
WorkersValue string `json:"workers"`
}
// recordDashboardSample snapshots headline cluster numbers into the ring
// buffer. Cheap: topology is already cached, and the maintenance stats are
// in-memory. Called on the existing maintenance-metrics ticker.
func (s *AdminServer) recordDashboardSample() {
topology, err := s.GetClusterTopology()
if err != nil || topology == nil {
return
}
ecShards := 0
for _, vs := range topology.VolumeServers {
ecShards += vs.EcShards
}
sample := dashSample{
t: time.Now(),
volumes: float64(topology.TotalVolumes),
ecShards: float64(ecShards),
diskUsed: float64(topology.TotalSize),
files: float64(topology.TotalFiles),
}
if s.maintenanceManager != nil {
if stats := s.maintenanceManager.GetStats(); stats != nil {
active := 0
for status, n := range stats.TasksByStatus {
switch string(status) {
case "pending", "assigned", "in_progress":
active += n
}
}
sample.tasks = float64(active)
sample.workers = float64(stats.ActiveWorkers)
}
}
s.dashSamplesMu.Lock()
s.dashSamples = append(s.dashSamples, sample)
if len(s.dashSamples) > dashMaxSamples {
s.dashSamples = s.dashSamples[len(s.dashSamples)-dashMaxSamples:]
}
s.dashSamplesMu.Unlock()
}
// GetDashboardTrends builds the trend cards from the current ring buffer.
func (s *AdminServer) GetDashboardTrends() DashboardTrends {
s.dashSamplesMu.Lock()
samples := make([]dashSample, len(s.dashSamples))
copy(samples, s.dashSamples)
s.dashSamplesMu.Unlock()
series := func(pick func(dashSample) float64) []float64 {
out := make([]float64, len(samples))
for i, smp := range samples {
out[i] = pick(smp)
}
return out
}
tasks := series(func(s dashSample) float64 { return s.tasks })
workers := series(func(s dashSample) float64 { return s.workers })
// Sparkline colors match the existing cards' border colors.
return DashboardTrends{
Samples: len(samples),
Volumes: sparklineSVG(series(func(s dashSample) float64 { return s.volumes }), "#1cc88a"), // success
Files: sparklineSVG(series(func(s dashSample) float64 { return s.files }), "#36b9cc"), // info
DiskUsed: sparklineSVG(series(func(s dashSample) float64 { return s.diskUsed }), "#f6c23e"), // warning
EcShards: sparklineSVG(series(func(s dashSample) float64 { return s.ecShards }), "#5a5c69"), // dark
Tasks: sparklineSVG(tasks, "#36b9cc"),
TasksValue: trendCount(last(tasks)),
Workers: sparklineSVG(workers, "#4e73df"),
WorkersValue: trendCount(last(workers)),
}
}
func last(v []float64) float64 {
if len(v) == 0 {
return 0
}
return v[len(v)-1]
}
// sparklineSVG renders a fixed-viewBox, width-responsive inline SVG line of the
// given points. Self-contained (no JS/chart lib); safe to inline in the page.
func sparklineSVG(pts []float64, color string) string {
const w, h = 240.0, 48.0
if len(pts) < 2 {
// Not enough history yet — draw a flat baseline so the card isn't empty.
return fmt.Sprintf(`<svg viewBox="0 0 %g %g" preserveAspectRatio="none" style="width:100%%;height:48px"><line x1="0" y1="%g" x2="%g" y2="%g" stroke="%s" stroke-width="2" opacity="0.4"/></svg>`, w, h, h/2, w, h/2, color)
}
minV, maxV := pts[0], pts[0]
for _, v := range pts {
if v < minV {
minV = v
}
if v > maxV {
maxV = v
}
}
span := maxV - minV
if span == 0 {
span = 1
}
dx := w / float64(len(pts)-1)
var line strings.Builder
for i, v := range pts {
x := float64(i) * dx
y := h - 3 - (v-minV)/span*(h-6) // 3px padding top/bottom; SVG y grows down
if i == 0 {
fmt.Fprintf(&line, "M%.1f %.1f", x, y)
} else {
fmt.Fprintf(&line, " L%.1f %.1f", x, y)
}
}
// Area path closes back along the baseline for a subtle fill.
area := fmt.Sprintf("%s L%.1f %.1f L0 %.1f Z", line.String(), w, h, h)
return fmt.Sprintf(`<svg viewBox="0 0 %g %g" preserveAspectRatio="none" style="width:100%%;height:48px"><path d="%s" fill="%s" opacity="0.12"/><path d="%s" fill="none" stroke="%s" stroke-width="2"/></svg>`,
w, h, area, color, line.String(), color)
}
// trendCount formats a count with thousands separators.
func trendCount(v float64) string {
n := int64(v)
s := fmt.Sprintf("%d", n)
if n < 0 {
return s
}
var out []byte
for i, c := range []byte(s) {
if i > 0 && (len(s)-i)%3 == 0 {
out = append(out, ',')
}
out = append(out, c)
}
return string(out)
}