import { clamp } from "../utils.ts";

function normalizePerformanceMetricMs(value) { const parsed = Number(value); if (!Number.isFinite(parsed) || parsed < 0) return null; return Math.floor(parsed); }

export function pushPerformanceMetric(target, value) { const normalized = normalizePerformanceMetricMs(value); if (normalized === null) return; target.push(normalized); }

function percentileNearestRank(sortedValues, percentile) { const values = Array.isArray(sortedValues) ? sortedValues : []; if (!values.length) return null; const p = clamp(Number(percentile) || 0, 0, 100); if (p <= 0) return values[0]; if (p >= 100) return values[values.length - 1];

const rank = Math.ceil((p / 100) * values.length); const index = clamp(rank - 1, 0, values.length - 1); return values[index]; }

export function summarizeLatencyMetric(values) { const numeric = (Array.isArray(values) ? values : []) .map((value) => normalizePerformanceMetricMs(value)) .filter((value) => value !== null); if (!numeric.length) { return { count: 0, minMs: null, p50Ms: null, p95Ms: null, avgMs: null, maxMs: null }; }

const sorted = [...numeric].sort((a, b) => a - b); const sum = sorted.reduce((acc, value) => acc + value, 0); return { count: sorted.length, minMs: sorted[0], p50Ms: percentileNearestRank(sorted, 50), p95Ms: percentileNearestRank(sorted, 95), avgMs: Number((sum / sorted.length).toFixed(1)), maxMs: sorted[sorted.length - 1] }; }