Posting-time windows into the corpus: ranges:dates, ranges:capture
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ranges:dates samples each active group's posting dates from the news
server (group_dates) and estimates every range's date (ranges.est_date).
ranges:capture --from --to marks a window's ranges of every group for the
corpus. The corpus fill takes capture ranges in priority order, done ones
too, and remembers complete ones (ranges.stored_at).

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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Daan MeijerandClaude Fable 5.1 committed 2026-10-25 09:47:28 +01:00
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import type { Overview, XoverClient } from '#lib/nntp/index'
/** When an article of a group was posted: the median Date of a slice of articles at `article`. */
export interface DateSample {
article: number
postedAt: Date
}
/** Before this, a Date header is a broken clock (the oldest retention is 2008). */
const OLDEST = Date.UTC(1995, 0, 1)
const DAY = 86_400_000
/**
* The median of the overviews' Date headers that parse and are plausible (1995 … a day from `now`), with at least
* `min` of them; null otherwise (an expired or empty slice).
*/
export function medianDate(overviews: Overview[], now = new Date(), min = 3): Date | null {
const latest = now.getTime() + DAY
const times = overviews
.map(([, fields]) => Date.parse(fields.date ?? ''))
.filter((t) => t >= OLDEST && t <= latest)
.sort((a, b) => a - b)
if (times.length < min) return null
return new Date(times[Math.floor(times.length / 2)])
}
/** Where a group is sampled: `count` article numbers spread over low … high, the first at low and the last `size` before high. */
export function samplePoints(low: number, high: number, count: number, size: number): number[] {
const last = Math.max(low, high - size + 1)
if (count <= 1 || last <= low) return [low]
const points = new Set<number>()
for (let i = 0; i < count; i++) points.add(Math.round(low + ((last - low) * i) / (count - 1)))
return [...points].sort((a, b) => a - b)
}
/**
* The samples as a posting-time curve: in article order, a sample later than both of the next two by over a day
* (a slice of one poster's wrong clock) is dropped, then each date is at least its predecessor's (articles arrive
* in number order, bar stragglers and old crossposts).
*/
export function monotone(samples: DateSample[]): DateSample[] {
const sorted = [...samples].sort((a, b) => a.article - b.article)
const kept = sorted.filter((s, i) => {
const next = sorted.slice(i + 1, i + 3)
return next.length < 2 || next.some((n) => n.postedAt.getTime() + DAY >= s.postedAt.getTime())
})
let floor = Number.NEGATIVE_INFINITY
return kept.map((s) => {
floor = Math.max(floor, s.postedAt.getTime())
return { article: s.article, postedAt: new Date(floor) }
})
}
/**
* When `article` was posted by the group's samples (monotone, in article order): interpolated between the two around
* it, the first or last sample's date beyond them; null without samples.
*/
export function estimateDate(samples: DateSample[], article: number): Date | null {
if (samples.length === 0) return null
if (article <= samples[0].article) return samples[0].postedAt
const last = samples[samples.length - 1]
if (article >= last.article) return last.postedAt
let lo = 0
let hi = samples.length - 1
while (hi - lo > 1) {
const mid = (lo + hi) >> 1
if (samples[mid].article <= article) lo = mid
else hi = mid
}
const a = samples[lo]
const b = samples[hi]
const f = (article - a.article) / (b.article - a.article)
return new Date(a.postedAt.getTime() + f * (b.postedAt.getTime() - a.postedAt.getTime()))
}
/** How many samples a group gets: one per `every` articles of its span, at least `min` and at most `max`. */
export function sampleCount(
low: number,
high: number,
every: number,
min = 16,
max = 1000
): number {
return Math.min(max, Math.max(min, Math.ceil((high - low) / every) + 1))
}
/**
* Samples a group over one connection: GROUP, then an XOVER of `size` articles at each of `count` points (a slice
* with too few articles that parse, expired or sparse, is widened to 32 × size once). The curve (monotone) and the
* server's span.
*/
export async function sampleGroup(
client: XoverClient,
name: string,
options: { every: number; size: number },
now = new Date()
): Promise<{ samples: DateSample[]; low: number; high: number; commands: number }> {
const info = await client.group(name)
const samples: DateSample[] = []
let commands = 1
for (const point of samplePoints(
info.low,
info.high,
sampleCount(info.low, info.high, options.every),
options.size
)) {
commands++
let date = medianDate(
await client.xover(point, Math.min(point + options.size - 1, info.high)),
now
)
if (!date) {
commands++
date = medianDate(
await client.xover(point, Math.min(point + options.size * 32 - 1, info.high)),
now
)
}
if (date) samples.push({ article: point, postedAt: date })
}
return { samples: monotone(samples), low: info.low, high: info.high, commands }
}