mirror of
https://github.com/ksyasuda/SubMiner.git
synced 2026-08-17 00:18:41 -07:00
fix(stats): stop counting duplicate typeset subtitle lines (#191)
This commit is contained in:
@@ -0,0 +1,423 @@
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/*
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* Retroactive removal of animation-burst subtitle lines from the stats database.
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*
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* Before the live ingest gate existed, a karaoke OP recorded one line -- and one count
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* for every word in it -- per animation frame, which is enough to put an OP lyric at the
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* top of "Top Repeated Words" for good. This module finds those runs in what is already
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* stored and takes them back down to one line.
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*
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* Only timing is available here: the stored text has been stripped of ASS markup, so the
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* authoring evidence the file-level parser uses (`\t`, `\move`, karaoke timing, a
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* changing override signature) is long gone. What is left is a run of identical,
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* contiguous, short-lived lines inside a single session.
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*
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* The run has to be as long as the timing-only rule in `subtitle-cue-dedup` demands, but
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* its short frames may be as long as the animation-frame bound rather than the much
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* tighter timing-only one. A qualifying run may end with one longer hold, which is a
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* common karaoke shape. Five or more repeats of the same text, each ending where the next
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* begins, is already conclusive on its own -- no dialogue does that -- and the tighter
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* bound would walk straight past the heavier typesetting that motivated this, where
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* frames sit nearer a quarter of a second. Both bounds are options, so a cautious run can
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* ask for more, and a dry run always reports before anything is removed.
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*
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* Scope: subtitle lines, their word/kanji occurrences, and the `imm_words`/`imm_kanji`
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* aggregates those occurrences feed. Session telemetry (`lines_seen`, `tokens_seen`) and
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* the rollups derived from it are left alone; they are cumulative samples taken at record
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* time, and for sessions whose raw rows have since been pruned they cannot be recomputed.
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*/
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import type { DatabaseSync } from './sqlite';
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import {
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ANIMATION_FRAME_MAX_SECONDS,
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DUPLICATE_CUE_GAP_TOLERANCE_SECONDS,
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MIN_STREAM_RESIDUE_FRAMES,
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MIN_TIMING_ONLY_FRAMES,
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TIMING_ONLY_FRAME_MAX_SECONDS,
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} from '../subtitle-burst-constants';
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import {
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applyLexicalRemovals,
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makePlaceholders,
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planLexicalRemovalsForLines,
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toDbTimestamp,
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} from './query-shared';
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import { nowMs } from './time';
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const MS_PER_DAY = 86_400_000;
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/** SQLite caps bound parameters per statement; stay well under it. */
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const ID_BATCH_SIZE = 400;
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const DEFAULT_SAMPLE_LIMIT = 20;
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export interface DuplicateSubtitleLineCleanupOptions {
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/** Only consider lines recorded within this many days. Null or omitted = all history. */
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lookbackDays?: number | null;
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/** Measure without writing. */
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dryRun?: boolean;
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/** Identical contiguous lines needed before a run counts as an animation. */
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minRunLength?: number;
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/** Longest a single event may last and still look like an animation frame. */
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maxFrameSeconds?: number;
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/** How many of the largest runs to describe in the summary. */
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sampleLimit?: number;
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}
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export interface DuplicateSubtitleLineBurst {
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sessionId: number;
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videoId: number;
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text: string;
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/** Kept line, extended to cover the whole run. */
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keptLineId: number;
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removedLineIds: number[];
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startMs: number;
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endMs: number;
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}
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export interface DuplicateSubtitleLineSample {
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videoId: number;
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videoTitle: string | null;
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text: string;
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frames: number;
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removedLines: number;
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startMs: number;
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endMs: number;
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}
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export interface DuplicateSubtitleLineCleanupSummary {
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dryRun: boolean;
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lookbackDays: number | null;
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scannedLines: number;
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burstGroups: number;
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removedLines: number;
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removedWordOccurrences: number;
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removedKanjiOccurrences: number;
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samples: DuplicateSubtitleLineSample[];
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}
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export interface StoredSubtitleLineRow {
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lineId: number;
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sessionId: number;
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videoId: number;
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text: string;
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startMs: number;
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endMs: number;
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}
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interface ResolvedBounds {
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lookbackDays: number | null;
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minRunLength: number;
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maxFrameMs: number;
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/** Shorter runs qualify only when every event sits under this much stricter bound. */
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residueMinRunLength: number;
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strictFrameMs: number;
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gapToleranceMs: number;
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sampleLimit: number;
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}
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function resolveBounds(options: DuplicateSubtitleLineCleanupOptions): ResolvedBounds {
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const lookbackDays =
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typeof options.lookbackDays === 'number' && Number.isFinite(options.lookbackDays)
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? Math.max(1, Math.floor(options.lookbackDays))
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: null;
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const minRunLength =
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typeof options.minRunLength === 'number' && Number.isFinite(options.minRunLength)
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? Math.max(2, Math.floor(options.minRunLength))
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: MIN_TIMING_ONLY_FRAMES;
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const maxFrameSeconds =
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typeof options.maxFrameSeconds === 'number' &&
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Number.isFinite(options.maxFrameSeconds) &&
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options.maxFrameSeconds > 0
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? options.maxFrameSeconds
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: ANIMATION_FRAME_MAX_SECONDS;
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const sampleLimit =
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typeof options.sampleLimit === 'number' && options.sampleLimit >= 0
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? Math.floor(options.sampleLimit)
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: DEFAULT_SAMPLE_LIMIT;
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return {
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lookbackDays,
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minRunLength,
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maxFrameMs: Math.round(maxFrameSeconds * 1000),
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residueMinRunLength: Math.max(MIN_STREAM_RESIDUE_FRAMES, minRunLength - 1),
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strictFrameMs: Math.round(TIMING_ONLY_FRAME_MAX_SECONDS * 1000),
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gapToleranceMs: Math.round(DUPLICATE_CUE_GAP_TOLERANCE_SECONDS * 1000),
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sampleLimit,
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};
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}
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/**
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* `CREATED_DATE` holds epoch milliseconds on rows this app wrote, but older and synced
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* rows can carry seconds, so normalize before comparing against the cutoff.
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*/
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const CREATED_MS_SQL = `
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CASE
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WHEN sl.CREATED_DATE < 10000000000 THEN sl.CREATED_DATE * 1000
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ELSE sl.CREATED_DATE
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END`;
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function readCandidateLines(db: DatabaseSync, bounds: ResolvedBounds): StoredSubtitleLineRow[] {
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const scope =
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bounds.lookbackDays === null
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? ''
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: `AND sl.CREATED_DATE IS NOT NULL AND ${CREATED_MS_SQL} >= ?`;
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const params = bounds.lookbackDays === null ? [] : [nowMs() - bounds.lookbackDays * MS_PER_DAY];
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return db
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.prepare(
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`SELECT
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sl.line_id AS lineId,
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sl.session_id AS sessionId,
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sl.video_id AS videoId,
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sl.text AS text,
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sl.segment_start_ms AS startMs,
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sl.segment_end_ms AS endMs
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FROM imm_subtitle_lines sl
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WHERE sl.segment_start_ms IS NOT NULL
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AND sl.segment_end_ms IS NOT NULL
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${scope}
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ORDER BY sl.session_id, sl.video_id, sl.segment_start_ms, sl.line_id`,
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)
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.all(...params) as StoredSubtitleLineRow[];
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}
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function isBurst(run: StoredSubtitleLineRow[], bounds: ResolvedBounds): boolean {
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const isShortFrame = (row: StoredSubtitleLineRow): boolean =>
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row.endMs - row.startMs <= bounds.maxFrameMs;
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// The residue the live gate leaves behind: it records the first frames of a burst
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// before the run is long enough to recognise, so one frame fewer than the timing-only
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// minimum, every one under the strict timing-only bound. No dialogue holds identical
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// sub-tenth-second lines back to back that many times.
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if (
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run.length >= bounds.residueMinRunLength &&
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run.every((row) => row.endMs - row.startMs <= bounds.strictFrameMs)
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) {
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return true;
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}
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if (run.length < bounds.minRunLength) {
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return false;
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}
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if (run.every(isShortFrame)) {
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return true;
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}
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// Karaoke commonly finishes its short animation frames with one long hold. Only the
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// final event may exceed the frame bound, and the short frames before it must already
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// meet the minimum run length on their own.
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return (
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run.length - 1 >= bounds.minRunLength &&
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run.slice(0, -1).every(isShortFrame) &&
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!isShortFrame(run[run.length - 1]!)
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);
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}
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function toBurst(run: StoredSubtitleLineRow[]): DuplicateSubtitleLineBurst {
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const [first] = run;
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return {
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sessionId: first!.sessionId,
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videoId: first!.videoId,
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text: first!.text,
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keptLineId: first!.lineId,
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removedLineIds: run.slice(1).map((row) => row.lineId),
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startMs: first!.startMs,
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endMs: run.reduce((latest, row) => Math.max(latest, row.endMs), first!.endMs),
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};
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}
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/**
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* Group stored lines into animation runs.
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*
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* Rows are bucketed per (session, video, text) before chaining, the way the file-level
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* dedup buckets cues: dual-line karaoke interleaves two texts frame by frame, and
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* chaining across the interleave would break every run at length one.
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*
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* Runs never cross a session, which is what keeps a rewatch intact: the same episode
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* watched twice stores the same line twice, and those two belong to different sessions.
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*/
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export function findDuplicateSubtitleLineBursts(
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rows: readonly StoredSubtitleLineRow[],
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options: DuplicateSubtitleLineCleanupOptions = {},
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): DuplicateSubtitleLineBurst[] {
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const bounds = resolveBounds(options);
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// Insertion order preserves the query's startMs ordering within each bucket.
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const rowsByKey = new Map<string, StoredSubtitleLineRow[]>();
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for (const row of rows) {
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const key = `${row.sessionId}|${row.videoId}|${row.text}`;
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const bucket = rowsByKey.get(key);
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if (bucket) {
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bucket.push(row);
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} else {
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rowsByKey.set(key, [row]);
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}
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}
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const bursts: DuplicateSubtitleLineBurst[] = [];
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for (const bucket of rowsByKey.values()) {
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if (bucket.length < 2) {
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continue;
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}
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let run: StoredSubtitleLineRow[] = [];
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let chainEndMs = 0;
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const closeRun = (): void => {
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if (run.length > 1 && isBurst(run, bounds)) {
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bursts.push(toBurst(run));
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}
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run = [];
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};
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for (const row of bucket) {
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if (run.length > 0 && row.startMs <= chainEndMs + bounds.gapToleranceMs) {
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run.push(row);
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chainEndMs = Math.max(chainEndMs, row.endMs);
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continue;
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}
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closeRun();
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run = [row];
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chainEndMs = row.endMs;
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}
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closeRun();
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}
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return bursts;
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}
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function chunk<T>(values: T[], size: number): T[][] {
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const chunks: T[][] = [];
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for (let i = 0; i < values.length; i += size) {
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chunks.push(values.slice(i, i + size));
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}
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return chunks;
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}
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function buildSamples(
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db: DatabaseSync,
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bursts: DuplicateSubtitleLineBurst[],
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sampleLimit: number,
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): DuplicateSubtitleLineSample[] {
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if (sampleLimit === 0 || bursts.length === 0) {
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return [];
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}
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const largest = [...bursts]
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.sort((a, b) => b.removedLineIds.length - a.removedLineIds.length)
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.slice(0, sampleLimit);
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const videoIds = [...new Set(largest.map((burst) => burst.videoId))];
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const titles = new Map<number, string>();
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for (const batch of chunk(videoIds, ID_BATCH_SIZE)) {
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const rows = db
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.prepare(
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`SELECT video_id AS videoId, canonical_title AS title
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FROM imm_videos
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WHERE video_id IN (${makePlaceholders(batch)})`,
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)
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.all(...batch) as Array<{ videoId: number; title: string | null }>;
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for (const row of rows) {
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if (row.title) titles.set(row.videoId, row.title);
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}
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}
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return largest.map((burst) => ({
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videoId: burst.videoId,
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videoTitle: titles.get(burst.videoId) ?? null,
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text: burst.text,
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frames: burst.removedLineIds.length + 1,
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removedLines: burst.removedLineIds.length,
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startMs: burst.startMs,
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endMs: burst.endMs,
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}));
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}
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function sumRemovedOccurrences(
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db: DatabaseSync,
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table: 'imm_word_line_occurrences' | 'imm_kanji_line_occurrences',
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lineIds: number[],
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): number {
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let total = 0;
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for (const batch of chunk(lineIds, ID_BATCH_SIZE)) {
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const row = db
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.prepare(
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`SELECT COALESCE(SUM(occurrence_count), 0) AS total
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FROM ${table}
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WHERE line_id IN (${makePlaceholders(batch)})`,
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)
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.get(...batch) as { total: number } | null;
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total += row?.total ?? 0;
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}
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return total;
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}
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function applyBursts(db: DatabaseSync, bursts: DuplicateSubtitleLineBurst[]): void {
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const removedLineIds = bursts.flatMap((burst) => burst.removedLineIds);
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const currentMs = toDbTimestamp(nowMs());
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db.exec('BEGIN IMMEDIATE');
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try {
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for (const batch of chunk(removedLineIds, ID_BATCH_SIZE)) {
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const placeholders = makePlaceholders(batch);
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// Measured before the delete, applied after it: `applyLexicalRemovals` checks the
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// surviving occurrences to decide whether a zeroed count really means the word is
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// gone, so the rows it inspects have to be the post-delete ones.
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const plan = planLexicalRemovalsForLines(db, batch);
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db.prepare(`DELETE FROM imm_word_line_occurrences WHERE line_id IN (${placeholders})`).run(
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...batch,
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);
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db.prepare(`DELETE FROM imm_kanji_line_occurrences WHERE line_id IN (${placeholders})`).run(
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...batch,
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);
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db.prepare(`DELETE FROM imm_subtitle_lines WHERE line_id IN (${placeholders})`).run(...batch);
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applyLexicalRemovals(db, plan);
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}
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const extendStmt = db.prepare(
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`UPDATE imm_subtitle_lines
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SET segment_end_ms = ?, LAST_UPDATE_DATE = ?
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WHERE line_id = ? AND (segment_end_ms IS NULL OR segment_end_ms < ?)`,
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);
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for (const burst of bursts) {
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extendStmt.run(burst.endMs, currentMs, burst.keptLineId, burst.endMs);
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}
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db.exec('COMMIT');
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} catch (error) {
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try {
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db.exec('ROLLBACK');
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} catch {
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// Surface the transaction failure, not the rollback's.
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}
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throw error;
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}
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}
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/**
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* Collapse stored animation bursts down to one line each.
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*
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* A dry run measures exactly what an apply would remove, using the same scan, so the
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* numbers shown in a confirmation prompt are the numbers that will happen.
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*/
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export function cleanupDuplicateSubtitleLines(
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db: DatabaseSync,
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options: DuplicateSubtitleLineCleanupOptions = {},
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): DuplicateSubtitleLineCleanupSummary {
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const bounds = resolveBounds(options);
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const dryRun = options.dryRun === true;
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const rows = readCandidateLines(db, bounds);
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const bursts = findDuplicateSubtitleLineBursts(rows, options);
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const removedLineIds = bursts.flatMap((burst) => burst.removedLineIds);
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const summary: DuplicateSubtitleLineCleanupSummary = {
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dryRun,
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lookbackDays: bounds.lookbackDays,
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scannedLines: rows.length,
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burstGroups: bursts.length,
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removedLines: removedLineIds.length,
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removedWordOccurrences: sumRemovedOccurrences(db, 'imm_word_line_occurrences', removedLineIds),
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removedKanjiOccurrences: sumRemovedOccurrences(
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db,
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'imm_kanji_line_occurrences',
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removedLineIds,
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),
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samples: buildSamples(db, bursts, bounds.sampleLimit),
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};
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if (dryRun || removedLineIds.length === 0) {
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return summary;
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}
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applyBursts(db, bursts);
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return summary;
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}
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