v0.342.0 (unreleased): the upload and CPU watch — an app that sends or burns far more than its own numbers explain is one operator-only alarm; the line learnt from the off-site push; qBittorrent's default upload limit (never over the household's)
gates / gates (push) Successful in 1m17s

internal/upwatch: exact per-container counters from the Docker Engine API, per-app judging (upload >= max(5 Mbit/s,
25% of the line) for 15 min; CPU >= max(150%, 50% x cores) for 30 min), explainers qBittorrent / Transmission / Plex,
app_unexplained_upload / app_unexplained_cpu + _cleared (hub 0.169.0). The off-site push is sampled once a second
for the line (a lower bound). qBittorrent limit = 50% of the line, the household's limit always wins. 20 red-proofs.
Spike + design: felhom.eu audits/SPIKE-upload-watch-2026-10-23.md, architecture/08 section 9. Not released.
This commit is contained in:
2026-10-23 21:26:09 +02:00
parent 277e99839d
commit a9c1997fbc
35 changed files with 2438 additions and 0 deletions
+55
View File
@@ -4,6 +4,8 @@ import (
"database/sql"
"fmt"
"log"
"sort"
"strings"
"time"
_ "modernc.org/sqlite"
@@ -357,3 +359,56 @@ func (s *MetricsStore) HourSampleCounts(from, to time.Time) (map[int64]int, erro
}
return out, rows.Err()
}
// StackTxP95Mbps is the 95th percentile of an app's upload, its containers summed per minute, over the rows since
// `since` (the upload watch's „far above its own p95" rule for an app the box cannot ask; internal/upwatch). minutes
// is how many one-minute buckets the history holds. The counters are `docker stats`' text values (three significant
// digits), coarse but enough for a p95 the rule multiplies by ten.
func (s *MetricsStore) StackTxP95Mbps(containers []string, since time.Time) (p95 float64, minutes int, err error) {
if len(containers) == 0 {
return 0, 0, nil
}
q := "SELECT container_name, ts, net_tx_bytes FROM container_metrics WHERE ts >= ? AND container_name IN (?" +
strings.Repeat(",?", len(containers)-1) + ") ORDER BY container_name, ts"
args := []interface{}{since.Unix()}
for _, c := range containers {
args = append(args, c)
}
rows, err := s.db.Query(q, args...)
if err != nil {
return 0, 0, err
}
defer rows.Close()
buckets := map[int64]float64{}
var prevName string
var prevTS, prevTx int64
havePrev := false
for rows.Next() {
var name string
var ts int64
var tx sql.NullInt64
if err := rows.Scan(&name, &ts, &tx); err != nil {
return 0, 0, err
}
if !tx.Valid {
havePrev = false
continue
}
if havePrev && name == prevName && ts > prevTS && ts-prevTS <= 180 && tx.Int64 >= prevTx {
buckets[ts/60] += float64(tx.Int64-prevTx) * 8 / float64(ts-prevTS) / 1e6
}
prevName, prevTS, prevTx, havePrev = name, ts, tx.Int64, true
}
if err := rows.Err(); err != nil {
return 0, 0, err
}
if len(buckets) == 0 {
return 0, 0, nil
}
vals := make([]float64, 0, len(buckets))
for _, v := range buckets {
vals = append(vals, v)
}
sort.Float64s(vals)
return vals[int(float64(len(vals)-1)*0.95)], len(vals), nil
}