Ilker ManapandClaude Opus 5.5
a1b1663e9d
Monitor draws CPU, memory, GPUs, requests, tokens, latency, network and disk as Braille charts over 5m/1h/24h/7d, then per node, card and model sparklines; node and model pages have their own. History is read from monitoring.prometheus through POST /api/v1/metrics/range, or without it from what the console saw. The control plane serves the cluster's machines for Prometheus http_sd at /prometheus/targets on its metrics port, and node add installs prometheus-node-exporter. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
34 lines
881 B
Go
34 lines
881 B
Go
//go:build liverender
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package cli
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import (
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"context"
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"fmt"
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"testing"
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"time"
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"gitea.mynodes.xyz/ilker/llmgw/internal/control/adminapi"
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"gitea.mynodes.xyz/ilker/llmgw/internal/promq"
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)
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func TestLiveRender(t *testing.T) {
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p := promq.New("http://10.0.0.146:9090", 10*time.Second)
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m := newConsoleModel("127.0.0.1:1", "/nonexistent")
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m.loaded, m.menu, m.inPanel, m.width, m.height = true, cMonitor, true, 170, 70
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m.mon.rng = 1
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step, qs := monitorQueries(time.Hour, (m.monitorWidth()/2-2)*2)
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res := adminapi.MetricsResult{Configured: true, Series: map[string][]promq.Series{}}
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for _, q := range qs {
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s, err := p.RangeQuery(context.Background(), q.Expr, q.By, time.Hour, step)
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if err != nil {
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t.Logf("%s: %v", q.ID, err)
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}
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res.Series[q.ID] = s
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}
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m.mon.res = res
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m.mon.key = m.monitorKey()
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_, body, _ := m.monitorPanel(m.monitorWidth())
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fmt.Println(body)
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}
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