feat(coordinator): business metrics — jobs/tasks/workers by status
A scrape-time collector reports scimesh_tasks/jobs/workers gauges keyed by status, sourced from cheap GROUP BY queries (StatsRepo), zero-filled across all known statuses so the dashboard shows flat zeros instead of gaps. A failed query yields no samples for that scrape rather than crashing it. Metrics is now built in main so the DB-backed collector can be registered (NewServer takes *metrics.Metrics; nil self-provisions for tests). Grafana dashboard gains a Domain state row: tasks/jobs/workers by status and a queue- depth stat.
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@@ -9,6 +9,7 @@ import (
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"syscall"
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"github.com/emil28092005/SciMesh/coordinator/internal/infra"
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"github.com/emil28092005/SciMesh/coordinator/internal/metrics"
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"github.com/emil28092005/SciMesh/coordinator/internal/storage/blob"
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"github.com/emil28092005/SciMesh/coordinator/internal/storage/postgres"
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httptransport "github.com/emil28092005/SciMesh/coordinator/internal/transport/http"
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@@ -108,9 +109,18 @@ func run() error {
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}(r.name, r.fn)
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}
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// Business metrics: gauges of tasks/jobs/workers by status, sampled from the
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// database on every Prometheus scrape.
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statsRepo := postgres.NewStatsRepo(pool)
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m := metrics.New()
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m.RegisterBusiness(func(ctx context.Context) (metrics.Stats, error) {
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tasks, jobs, workers, err := statsRepo.Counts(ctx)
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return metrics.Stats{Tasks: tasks, Jobs: jobs, Workers: workers}, err
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})
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// pool.Ping backs /health: readiness means the database answers, not just
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// that the process is alive.
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api := httptransport.NewServer(useCases, log, cfg.RequestTimeout, cfg.HeartbeatInterval, cfg.MaxUploadBytes, cfg.JWTSecret, cfg.UserserviceURL, pool.Ping)
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api := httptransport.NewServer(useCases, log, cfg.RequestTimeout, cfg.HeartbeatInterval, cfg.MaxUploadBytes, cfg.JWTSecret, cfg.UserserviceURL, m, pool.Ping)
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err = infra.RunServer(ctx, log, cfg.Addr, api.Handler(cfg.Token, cfg.UIToken))
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// Shutdown order matters, and defers alone cannot express it (they run
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