feat: merge events across multiple sources per game
Collapses the same event seen by two sources, matching on ID or on title similarity plus start-date proximity. Proximity is the real guard against false positives, since a rerun reuses its name months later. Agreement from an independent source raises confidence; the same row seen twice in one document does not. Disagreement on an end date is recorded as a conflict for the review gate rather than averaged — splitting the difference would publish a date neither source asserts. Co-Authored-By: Claude Opus 5 (1M context) <[email protected]>
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Claude Opus 5
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import type { GachaEvent } from "../shared/schema.ts";
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/**
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* Combine events for one game from several sources.
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*
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* Two sources covering the same game will disagree: different titles for the
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* same event, dates that differ by a day, one listing something the other
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* misses. This decides what the feed shows.
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*
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* The rules, in order:
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* 1. Same event ID → same event. Keep the higher-confidence copy.
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* 2. Near match → same event under different titles. Keep the
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* higher-confidence copy and record corroboration.
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* 3. Otherwise → distinct events; keep both.
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*
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* Corroboration is the point of running multiple sources: two independent
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* sources agreeing on a date is much stronger evidence than one asserting it,
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* and that shows up as a confidence bump. Two sources *disagreeing* on an end
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* date is flagged rather than silently resolved — see `conflicts`.
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*/
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export interface MergeResult {
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events: GachaEvent[];
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/**
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* Pairs that look like the same event but disagree on an end date by more
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* than the tolerance. These are the cases a human should look at; the
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* pipeline routes them to quarantine.
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*/
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conflicts: Array<{
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kept: GachaEvent;
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rejected: GachaEvent;
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field: "endsAt" | "startsAt";
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deltaHours: number;
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}>;
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}
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export interface MergeOptions {
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/** How far two boundaries may differ and still count as agreement. */
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toleranceHours?: number;
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/** Title similarity above which two events are considered the same. */
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titleThreshold?: number;
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/** Confidence added when an independent source agrees. */
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corroborationBonus?: number;
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}
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const DEFAULTS = {
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toleranceHours: 24,
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/**
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* 0.8, not higher: a two-word title with one extra decorative token
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* ("Stygian Onslaught" vs "Stygian Onslaught Event") scores exactly 0.8, and
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* failing to merge those puts duplicate rows in front of the user. The real
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* guard against false positives is start-date proximity, not this number — a
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* rerun reuses the name but starts months later.
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*/
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titleThreshold: 0.8,
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corroborationBonus: 0.1,
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} as const;
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export function mergeEvents(
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groups: GachaEvent[][],
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options: MergeOptions = {},
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): MergeResult {
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const toleranceHours = options.toleranceHours ?? DEFAULTS.toleranceHours;
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const titleThreshold = options.titleThreshold ?? DEFAULTS.titleThreshold;
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const bonus = options.corroborationBonus ?? DEFAULTS.corroborationBonus;
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const kept: GachaEvent[] = [];
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const conflicts: MergeResult["conflicts"] = [];
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for (const incoming of groups.flat()) {
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const matchIndex = kept.findIndex(
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(existing) =>
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existing.game === incoming.game &&
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isSameEvent(existing, incoming, titleThreshold, toleranceHours),
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);
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if (matchIndex === -1) {
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kept.push(incoming);
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continue;
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}
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const existing = kept[matchIndex];
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if (existing === undefined) continue;
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const conflict = findConflict(existing, incoming, toleranceHours);
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const [winner, loser] =
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incoming.confidence > existing.confidence
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? ([incoming, existing] as const)
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: ([existing, incoming] as const);
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if (conflict !== null) {
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// Independent sources disagree on when this ends. Do not average, do not
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// silently prefer one — surface it. A wrong end date is the failure this
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// product exists to prevent.
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conflicts.push({ kept: winner, rejected: loser, ...conflict });
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kept[matchIndex] = winner;
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continue;
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}
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// Agreement from a different source is real evidence; from the same source
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// it is just the same row seen twice.
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const corroborated =
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winner.sourceId !== loser.sourceId
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? { ...winner, confidence: Math.min(1, winner.confidence + bonus) }
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: winner;
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kept[matchIndex] = corroborated;
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}
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kept.sort((a, b) =>
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a.startsAt === b.startsAt
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? a.id.localeCompare(b.id)
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: a.startsAt.localeCompare(b.startsAt),
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);
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return { events: kept, conflicts };
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}
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function isSameEvent(
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a: GachaEvent,
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b: GachaEvent,
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titleThreshold: number,
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toleranceHours: number,
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): boolean {
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if (a.id === b.id) return true;
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if (titleSimilarity(a.title, b.title) < titleThreshold) return false;
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// Similar titles are not enough — reruns reuse names. Require the start dates
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// to be close before treating two entries as one event.
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return hoursBetween(a.startsAt, b.startsAt) <= toleranceHours;
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}
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function findConflict(
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a: GachaEvent,
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b: GachaEvent,
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toleranceHours: number,
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): { field: "endsAt" | "startsAt"; deltaHours: number } | null {
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if (a.endsAt !== null && b.endsAt !== null) {
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const delta = hoursBetween(a.endsAt, b.endsAt);
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if (delta > toleranceHours) return { field: "endsAt", deltaHours: delta };
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}
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const startDelta = hoursBetween(a.startsAt, b.startsAt);
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if (startDelta > toleranceHours) {
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return { field: "startsAt", deltaHours: startDelta };
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}
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return null;
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}
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function hoursBetween(a: string, b: string): number {
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return Math.abs(Date.parse(a) - Date.parse(b)) / 3_600_000;
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}
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/**
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* Token-overlap (Dice) similarity on normalised titles. Deliberately simple:
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* it only needs to catch "Stygian Onslaught" vs "Stygian Onslaught (Event)",
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* not to do fuzzy natural-language matching.
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*/
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export function titleSimilarity(a: string, b: string): number {
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const ta = tokens(a);
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const tb = tokens(b);
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if (ta.size === 0 || tb.size === 0) return 0;
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let shared = 0;
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for (const t of ta) if (tb.has(t)) shared += 1;
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return (2 * shared) / (ta.size + tb.size);
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}
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function tokens(title: string): Set<string> {
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return new Set(
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title
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.toLowerCase()
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.replace(/[^a-z0-9\s]/g, " ")
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.split(/\s+/)
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.filter((w) => w.length > 0),
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);
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}
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