Files
llmgw/internal/web/dashboard.go
T
Ilker ManapandClaude Opus 5 cd7eedf09e
CI / test (push) Successful in 1m49s
Give the mirror a page, so managing it is not a curl command
/admin/mirror, behind the same admin session as the other admin pages. What is
held, what is arriving with its byte count, what failed and why; start a fetch,
retry a failed one, remove a version.

Not mounted at all without a mirror configured. The right page for a deployment
with no mirror is no page, rather than an empty one pointing at nothing.

It reloads itself only while something is downloading. A reload at any other
moment takes with it whatever is half-typed into the fetch form, and there is
nothing to watch when nothing is moving.

A failed row offers Retry, not Remove. A fetch that failed left nothing on disk,
so the remove could only answer "the mirror holds nothing for this" — a button
whose single outcome is a confusing error. Starting the same download again is
what somebody looking at that row wants, and the mirror allows it: only a
download still running is refused.

An unreachable mirror is said outright instead of rendering as an empty table.
The two look nearly identical and mean opposite things: one is a mirror waiting
to be filled, the other is a machine to go and look at.

Dashboard takes NavExtras rather than a second bool. Two adjacent booleans at a
call site get swapped silently and are discovered by somebody clicking the
wrong link.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-27 10:17:12 +02:00

309 lines
10 KiB
Go

package web
import (
"context"
"fmt"
"html/template"
"log/slog"
"net/http"
"time"
"gitea.mynodes.xyz/ilker/llmgw/internal/control/adminapi"
"gitea.mynodes.xyz/ilker/llmgw/internal/store"
)
// DashboardData is the whole page.
type DashboardData struct {
Nodes []adminapi.NodeView
Models []adminapi.ModelView
Replicas []adminapi.ReplicaView
Unplaced []adminapi.ExplainView
Usage []store.KeyUsage
Summary adminapi.Summary
Users []store.UserUsage
Models2 []store.ModelUsage
// Tiles are the headline figures, which are numbers rather than charts.
Requests24h int64
Tokens24h int64
Errors24h int64
Spend24h int64
RequestSpark template.HTML
TokenSpark template.HTML
UserChart template.HTML
ModelChart template.HTML
HasPeople bool
// Charts are pre-rendered rather than assembled in the template: building
// SVG out of template fragments is how a chart ends up unescaped.
RequestChart template.HTML
TokenChart template.HTML
LatencyChart template.HTML
HasCharts bool
NodeCount int
ModelCount int
ReadyReplicas int
TotalReplicas int
AuthEnabled bool
// OnAdminListener decides which links the page offers.
//
// The same page is served twice, and the two have different neighbours:
// metrics, pprof and the management API exist only on the admin listener,
// while account administration and the profile exist only on the
// client-facing one. A nav that assumes one of them sends every visitor to
// the other into a 404 — or, on the public port, into "no api key was
// provided", which is a far more confusing way to say the same thing.
OnAdminListener bool
// Nav says which optional admin pages are mounted. Asked rather than
// assumed: a link to a page that was never registered lands on whatever the
// catch-all route serves, which on the client-facing port is the landing
// page — an admin clicking "mirror" and getting the marketing copy has no
// way to tell that from a bug.
Nav NavExtras
RefreshSec int
Version string
Now string
}
// Source is what the dashboard reads. An interface so the page can be rendered
// in a test without a control plane.
type Source interface {
Nodes() []adminapi.NodeView
Models() []adminapi.ModelView
Replicas(model string) []adminapi.ReplicaView
Explain(model string) adminapi.ExplainView
// Summary is the fleet in aggregate: capacity per GPU class, free whole
// nodes per fabric, what is idle.
//
// The tables below say what exists; this says how much of it is in use,
// which is a different question and the one asked first. Deriving it in the
// page would mean two implementations of the same arithmetic drifting
// apart, so it comes from where ctl status gets it.
Summary() adminapi.Summary
}
// UsageSource is the accounting half, absent when authentication is off.
type UsageSource interface {
UsageSince(ctx context.Context, since time.Time) ([]store.KeyUsage, error)
UsageBuckets(ctx context.Context, since time.Time, width time.Duration) ([]store.Bucket, error)
// UsageByUser and UsageByModel answer the two questions a key-by-key table
// answers badly: who is using this cluster, and what are they running. One
// person holds a laptop key, a CI key and a notebook key, and adding three
// rows up by eye is a chore that gets skipped.
UsageByUser(ctx context.Context, since time.Time) ([]store.UserUsage, error)
UsageByModel(ctx context.Context, since time.Time) ([]store.ModelUsage, error)
}
// Dashboard serves the read-only cluster view.
//
// It belongs on the admin listener and nowhere else. That listener is bound to
// loopback by default and also serves pprof, which can dump the process heap —
// where API keys live in plaintext. Exposing this page publicly would mean
// exposing that, so reaching it from elsewhere is an SSH tunnel's job:
//
// ssh -L 9090:127.0.0.1:9090 llmgw-ctl
//
// Read-only on purpose. Anything that mints a credential stays in `llmgw keys`,
// where it needs a shell on the machine rather than a browser session this
// project has no way to authenticate.
// NavExtras says which optional admin pages exist.
//
// A struct rather than another bool parameter: Dashboard already takes one, and
// two adjacent booleans at a call site are swapped silently and discovered by
// somebody clicking the wrong link.
type NavExtras struct {
// Mirror is true when /admin/mirror is mounted.
Mirror bool
}
func Dashboard(src Source, usage UsageSource, version string, refresh time.Duration,
onAdminListener bool, nav NavExtras, log *slog.Logger,
) http.HandlerFunc {
if log == nil {
log = slog.Default()
}
if refresh <= 0 {
refresh = 5 * time.Second
}
return func(w http.ResponseWriter, r *http.Request) {
d := DashboardData{
OnAdminListener: onAdminListener,
Nav: nav,
RefreshSec: int(refresh.Seconds()),
Version: version,
Now: time.Now().UTC().Format(time.RFC3339),
AuthEnabled: usage != nil,
}
if src != nil {
d.Nodes = src.Nodes()
d.Models = src.Models()
d.Replicas = src.Replicas("")
d.NodeCount = len(d.Nodes)
d.ModelCount = len(d.Models)
d.TotalReplicas = len(d.Replicas)
for _, rep := range d.Replicas {
if rep.State == "ready" {
d.ReadyReplicas++
}
}
d.Unplaced = unplaced(src, d.Models)
d.Summary = src.Summary()
}
if usage != nil {
rows, err := usage.UsageSince(r.Context(), time.Now().Add(-24*time.Hour))
if err != nil {
// A reporting query failing must not take the page with it: the
// cluster state above is what someone is most likely here for.
log.Warn("could not read usage for the dashboard", "err", err)
}
d.Usage = rows
d.addCharts(r.Context(), usage, log)
d.addPeopleAndModels(r.Context(), usage, log)
}
render(w, "dashboard", d)
}
}
// addPeopleAndModels answers who is using the cluster and what they are running.
//
// Both are ranked rather than plotted over time: the question is which person
// and which model, and a reader comparing names wants them beside each other
// rather than threaded through a time axis they then have to untangle.
//
// A reporting query failing leaves the section out rather than the page: the
// cluster state above it is what someone is most likely here for.
func (d *DashboardData) addPeopleAndModels(ctx context.Context, usage UsageSource, log *slog.Logger) {
since := time.Now().Add(-24 * time.Hour)
users, err := usage.UsageByUser(ctx, since)
if err != nil {
log.Warn("could not read per-user usage", "err", err)
} else {
d.Users = users
rows := make([]Row, 0, len(users))
for _, u := range topUsers(users, 8) {
rows = append(rows, Row{
Label: userLabel(u),
Value: float64(u.Tokens()),
Note: fmt.Sprintf("%d req", u.Requests),
})
}
d.UserChart = HBarChart(rows, "--viz-1", "tok")
d.HasPeople = len(rows) > 0
}
models, err := usage.UsageByModel(ctx, since)
if err != nil {
log.Warn("could not read per-model usage", "err", err)
return
}
d.Models2 = models
rows := make([]Row, 0, len(models))
for i, m := range models {
if i >= 8 {
break
}
rows = append(rows, Row{
Label: m.Model,
Value: float64(m.Requests),
Note: fmt.Sprintf("%.0f ms", m.AvgLatency),
})
}
d.ModelChart = HBarChart(rows, "--viz-3", "req")
}
// userLabel names a person the way they would recognise themselves.
//
// A key with no owner predates accounts, and calling it "unknown" would imply
// something is wrong; it is an operator-issued key doing its job.
func userLabel(u store.UserUsage) string {
switch {
case u.Email != "":
return u.Email
case u.Name != "":
return u.Name
default:
return "operator-issued keys"
}
}
// topUsers keeps the chart readable.
//
// Eight, because a ranked bar chart stops being a comparison somewhere around
// there and becomes a table drawn slowly. The full list is in the table below
// it, which is the right form for twenty rows.
func topUsers(users []store.UserUsage, n int) []store.UserUsage {
if len(users) > n {
return users[:n]
}
return users
}
// addCharts draws the last day of traffic.
//
// Hourly, over 24 hours: fine enough to show a working day and coarse enough
// that one slow minute does not look like an incident.
func (d *DashboardData) addCharts(ctx context.Context, usage UsageSource, log *slog.Logger) {
buckets, err := usage.UsageBuckets(ctx, time.Now().Add(-24*time.Hour), time.Hour)
if err != nil {
log.Warn("could not read usage buckets for the dashboard", "err", err)
return
}
if len(buckets) == 0 {
return
}
var requests, tokens, latency Series
requests.Colour, tokens.Colour, latency.Colour = "--accent", "--ok", "--warn"
for _, b := range buckets {
requests.Values = append(requests.Values, float64(b.Requests))
requests.Labels = append(requests.Labels, hourLabel(b.Start, float64(b.Requests), "requests"))
tok := float64(b.Prompt + b.Completion)
tokens.Values = append(tokens.Values, tok)
tokens.Labels = append(tokens.Labels, hourLabel(b.Start, tok, "tokens"))
latency.Values = append(latency.Values, float64(b.LatencyMs))
latency.Labels = append(latency.Labels, hourLabel(b.Start, float64(b.LatencyMs), "ms mean"))
}
d.RequestChart = BarChart(requests, "requests/h")
d.TokenChart = BarChart(tokens, "tokens/h")
d.LatencyChart = BarChart(latency, "ms")
d.HasCharts = true
// The headline figures. Numbers rather than charts, because a single
// current value is a number — plotting one is how a chart ends up with one
// bar in it. The sparkline beside each says only whether it is rising,
// falling or flat, which is the one thing the number cannot say.
for _, b := range buckets {
d.Requests24h += b.Requests
d.Tokens24h += b.Prompt + b.Completion
d.Errors24h += b.Errors
d.Spend24h += b.CostMicros
}
d.RequestSpark = Sparkline(requests.Values, "--viz-1")
d.TokenSpark = Sparkline(tokens.Values, "--viz-3")
}
// unplaced collects the placement explanations for models short of replicas.
//
// Only for those: asking why a satisfied model was not placed produces an empty
// answer, and a page full of empty answers hides the one that matters.
func unplaced(src Source, models []adminapi.ModelView) []adminapi.ExplainView {
var out []adminapi.ExplainView
for _, m := range models {
if m.Ready >= m.Min {
continue
}
if e := src.Explain(m.Name); len(e.Rejections) > 0 {
out = append(out, e)
}
}
return out
}