@dudousxd/nestjs-telescope/dist/metrics/timeseries-from-rollups.js

Laravel Telescope-style observability console for NestJS — core: watchers, recorder, correlation, SQLite store, headless API.

/**
 * Assembles the SAME {@link TimeseriesReport} shape {@link bucketTimeseries}
 * produces, but from pre-aggregated 1-minute {@link RollupBucket}s instead of a
 * raw entry scan. Each rollup's `count` is placed (re-bucketed) into the report
 * bucket its `bucketStart` falls in, using the IDENTICAL clamp formula
 * `bucketTimeseries` uses for an entry's `createdAt`. When the report's bucket
 * width is a multiple of (and aligned to) the 1-minute rollup granularity, this
 * reproduces the raw-scan counts exactly.
 */
export function timeseriesFromRollups(rollups, windowStart, windowEnd, bucketCount) {
    const count = Math.max(1, Math.floor(bucketCount));
    const startMs = windowStart.getTime();
    const spanMs = Math.max(1, windowEnd.getTime() - startMs);
    const bucketMs = Math.max(1, Math.floor(spanMs / count));
    const buckets = Array.from({ length: count }, (_, index) => ({
        t: new Date(startMs + index * bucketMs).toISOString(),
        total: 0,
        byType: {},
    }));
    for (const rollup of rollups) {
        const offset = rollup.bucketStart - startMs;
        const rawIndex = Math.floor(offset / bucketMs);
        const index = Math.min(count - 1, Math.max(0, rawIndex));
        const bucket = buckets[index];
        if (!bucket)
            continue;
        bucket.total += rollup.count;
        bucket.byType[rollup.metric] = (bucket.byType[rollup.metric] ?? 0) + rollup.count;
    }
    return {
        windowStart: windowStart.toISOString(),
        windowEnd: windowEnd.toISOString(),
        bucketMs,
        buckets,
    };
}
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