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fix(sessions): outliers de duração ignoram outcome unknown e publicação no departamento Tecnologia (#14404)

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ealmeida
2026-10-28 16:00:49 +00:00
parent 948a9c2857
commit 2bbc12e8b4
2 changed files with 7 additions and 4 deletions
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api/scripts/sessions-patterns.ts
+2 -2
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@@ -87,8 +87,8 @@ interface MCPToolCallResult {
const OBSERVABILIDADE_STAFF_ID = 25 const OBSERVABILIDADE_STAFF_ID = 25
/** Discussão Desk onde os resumos semanais são publicados */ /** Discussão Desk onde os resumos semanais são publicados */
const OBSERVABILIDADE_DISCUSSION_ID = 32 const OBSERVABILIDADE_DISCUSSION_ID = 32
/** Departamento "Geral" no Desk CRM (id=1) */ /** Departamento "Tecnologia" no Desk CRM (id=7; o id=1 é "Comercial" — #14404) */
const OBSERVABILIDADE_DEPARTMENT_ID = 1 const OBSERVABILIDADE_DEPARTMENT_ID = 7
function parseArgs(argv: string[]): Args { function parseArgs(argv: string[]): Args {
const a: Args = { publish: false, force: false, backfill: false } const a: Args = { publish: false, force: false, backfill: false }
api/services/sessions/patterns.ts
+5 -2
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@@ -188,7 +188,9 @@ export function detectSkillToolPairs(ctx: DetectCtx): Pattern[] {
})) }))
} }
/** 4. Duration outliers: sessões > p95 por projecto com outcome != completed. */ /** 4. Duration outliers: sessões > p95 por projecto com outcome de falha medido (error/interrupted).
* `unknown` não conta: significa outcome não medido (ex.: sessões cron do Hermes, project_slug NULL,
* 100% `unknown`), e contá-lo gerava ~5% de "outliers" todas as semanas por construção (#14404). */
export function detectDurationOutliers(ctx: DetectCtx): Pattern[] { export function detectDurationOutliers(ctx: DetectCtx): Pattern[] {
const rows = baseRows(ctx).filter((r) => r.duration_sec != null && r.duration_sec > 0) const rows = baseRows(ctx).filter((r) => r.duration_sec != null && r.duration_sec > 0)
const byProject = new Map<string, Array<typeof rows[number]>>() const byProject = new Map<string, Array<typeof rows[number]>>()
@@ -203,7 +205,8 @@ export function detectDurationOutliers(ctx: DetectCtx): Pattern[] {
const durations = arr.map((r) => r.duration_sec as number).sort((a, b) => a - b) const durations = arr.map((r) => r.duration_sec as number).sort((a, b) => a - b)
const p95Idx = Math.max(0, Math.floor(durations.length * 0.95) - 1) const p95Idx = Math.max(0, Math.floor(durations.length * 0.95) - 1)
const p95 = durations[p95Idx] const p95 = durations[p95Idx]
const outliers = arr.filter((r) => (r.duration_sec as number) > p95 && r.outcome !== 'completed') const outliers = arr.filter((r) => (r.duration_sec as number) > p95 &&
r.outcome !== 'completed' && r.outcome !== 'unknown')
if (outliers.length < 3) continue if (outliers.length < 3) continue
out.push({ out.push({
pattern_key: `duration_outliers:${proj}`, pattern_key: `duration_outliers:${proj}`,