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// spike-alerts replays the deterministic spike rule over a bounded window of
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// normalized_events and, optionally, asks the Needle sidecar what kind of
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// failure each top pattern is. It only reads ClickHouse.
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package main
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import (
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"bytes"
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"context"
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"encoding/json"
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"flag"
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"fmt"
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"log"
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"net/http"
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"os"
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"strings"
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"time"
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"github.com/ClickHouse/clickhouse-go/v2"
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"git.tornberg.me/go-otel/internal/features"
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)
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func main() {
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addr := flag.String("addr", envOr("OTEL_CLICKHOUSE_ADDR", "127.0.0.1:9000"), "ClickHouse host:port")
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database := flag.String("database", envOr("OTEL_CLICKHOUSE_DB", "otel"), "ClickHouse database")
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user := flag.String("user", envOr("OTEL_CLICKHOUSE_USER", "default"), "ClickHouse user")
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password := flag.String("password", os.Getenv("OTEL_CLICKHOUSE_PASSWORD"), "ClickHouse password")
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since := flag.String("since", "", "inclusive UTC RFC3339 start of the range to replay")
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until := flag.String("until", "", "exclusive UTC RFC3339 end of the range")
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window := flag.Duration("window", 5*time.Minute, "observation window")
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step := flag.Duration("step", 5*time.Minute, "replay step")
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baselineWindows := flag.Int("baseline-windows", 36, "preceding windows used as baseline")
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minExcess := flag.Int("min-excess", 5, "minimum excess errors to alert")
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multiple := flag.Float64("multiple", 3, "pattern must be novel or >= multiple * its baseline")
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cooldown := flag.Duration("cooldown", 30*time.Minute, "suppress repeats of a pattern for this long unless its count doubles")
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needle := flag.String("needle", os.Getenv("OTEL_NEEDLE_ADDR"), "Needle sidecar URL; empty skips classification")
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asJSON := flag.Bool("json", false, "emit JSON lines instead of text")
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flag.Parse()
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if *since == "" || *until == "" {
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log.Fatal("-since and -until are required")
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}
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start, err := time.Parse(time.RFC3339, *since)
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if err != nil {
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log.Fatal(err)
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}
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end, err := time.Parse(time.RFC3339, *until)
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if err != nil || !start.Before(end) {
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log.Fatal("invalid range")
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}
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cfg := features.SpikeConfig{Window: *window, BaselineWindows: *baselineWindows, Multiple: *multiple, MinExcess: *minExcess}
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events := load(*addr, *database, *user, *password, start, end)
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log.Printf("loaded %d error events", len(events))
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cache := map[string]classification{}
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first := start.Add(time.Duration(*baselineWindows) * *window)
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suppress := features.NewSuppressor(*cooldown)
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alerts := 0
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for at := first.Add(*window); !at.After(end); at = at.Add(*step) {
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for _, spike := range suppress.Filter(features.DetectSpikes(events, at, cfg)) {
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alerts++
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var cls []classification
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for _, p := range spike.Patterns {
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c := classification{}
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if *needle != "" {
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if hit, ok := cache[p.Signature]; ok {
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c = hit
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} else {
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c = classify(*needle, needleText(p.Example))
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cache[p.Signature] = c
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}
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}
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cls = append(cls, c)
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}
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if *asJSON {
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_ = json.NewEncoder(os.Stdout).Encode(map[string]any{"spike": spike, "classifications": cls})
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continue
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}
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printSpike(spike, cls)
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}
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}
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log.Printf("%d alert(s) between %s and %s", alerts, first.Format(time.RFC3339), end.Format(time.RFC3339))
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}
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type classification struct {
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Action string `json:"action"`
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Confidence float64 `json:"confidence"`
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Cached bool `json:"cached"`
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Err string `json:"error,omitempty"`
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}
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func classify(base, text string) classification {
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body, _ := json.Marshal(map[string]string{"text": text})
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resp, err := (&http.Client{Timeout: 60 * time.Second}).Post(strings.TrimRight(base, "/")+"/classify", "application/json", bytes.NewReader(body))
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if err != nil {
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return classification{Action: "?", Err: err.Error()}
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}
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defer resp.Body.Close()
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var out classification
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if err := json.NewDecoder(resp.Body).Decode(&out); err != nil {
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return classification{Action: "?", Err: err.Error()}
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}
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return out
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}
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func needleText(e features.Event) string {
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parts := []string{"Service: " + e.Service, "Kind: " + e.Kind}
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if e.SpanName != "" {
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parts = append(parts, "Title: "+e.SpanName)
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}
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if e.Message != "" {
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parts = append(parts, "Message: "+e.Message)
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}
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if e.StatusCode > 0 {
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parts = append(parts, fmt.Sprintf("Status: %d", e.StatusCode))
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}
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if e.Route != "" {
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parts = append(parts, "Route: "+e.Route)
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}
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return strings.Join(parts, " | ")
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}
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func printSpike(s features.Spike, cls []classification) {
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fmt.Printf("\n%s %s errors=%d (baseline %.1f/window, excess %.0f)\n", s.WindowEnd.Format("01-02 15:04"), s.Service, s.ErrorCount, s.BaselineMean, s.Excess)
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for i, p := range s.Patterns {
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tag := "rising"
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if p.Novel {
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tag = "NEW"
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}
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what := "-"
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if cls[i].Action != "" {
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what = fmt.Sprintf("%s (%.2f)", cls[i].Action, cls[i].Confidence)
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}
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fmt.Printf(" %-6s x%-4d base %-6.1f %-24s %s\n", tag, p.Count, p.BaselineMean, what, needleText(p.Example))
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}
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}
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func load(addr, database, user, password string, start, end time.Time) []features.Event {
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ctx, cancel := context.WithTimeout(context.Background(), 5*time.Minute)
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defer cancel()
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conn, err := clickhouse.Open(&clickhouse.Options{Addr: []string{addr}, Auth: clickhouse.Auth{Database: database, Username: user, Password: password}})
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if err != nil {
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log.Fatal(err)
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}
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defer conn.Close()
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// Errors only, and only columns present in every deployed schema version.
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rows, err := conn.Query(ctx, fmt.Sprintf(`SELECT timestamp, service, release, kind, source, status_code, span_name, route, exception_type, message_normalized, pattern_signature
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FROM %s.normalized_events FINAL
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WHERE is_error = 1 AND timestamp >= toDateTime64('%s', 9, 'UTC') AND timestamp < toDateTime64('%s', 9, 'UTC')
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ORDER BY timestamp LIMIT 2000000`, database, chTime(start), chTime(end)))
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if err != nil {
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log.Fatal(err)
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}
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defer rows.Close()
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var out []features.Event
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for rows.Next() {
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e := features.Event{IsError: true}
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var status uint16
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if err := rows.Scan(&e.Timestamp, &e.Service, &e.Release, &e.Kind, &e.Source, &status, &e.SpanName, &e.Route, &e.ExceptionType, &e.Message, &e.PatternSignature); err != nil {
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log.Fatal(err)
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}
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e.StatusCode = int(status)
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out = append(out, e)
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}
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if err := rows.Err(); err != nil {
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log.Fatal(err)
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}
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return out
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}
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func chTime(t time.Time) string { return t.UTC().Format("2006-01-02 15:04:05.000000000") }
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func envOr(k, f string) string {
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if v := os.Getenv(k); v != "" {
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return v
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}
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return f
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}
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