fix(stats): version lexical rollups and preserve backfill writes

- Persist vocabulary_visible on imm_words and filter rollups/triggers by it, matching the totals' exclusion rules
- Normalize legacy second/millisecond timestamps when bucketing rollup rows into local days
- Replace the boolean rollup-ready flag with a version key so schema changes trigger an atomic rebuild
- Preserve queued playback writes during rollup backfill instead of dropping them under queue pressure
- Time out the lexical rollup worker instead of hanging forever on no response
- Key concurrent vocabulary summary requests by their known-words snapshot so they no longer share stale state
- Bound stats dashboard retries for unfinished vocabulary loads before showing the inline Retry control
This commit is contained in:
2026-08-17 23:49:04 -07:00
parent e64763b487
commit 3b89886557
20 changed files with 506 additions and 93 deletions
@@ -26,7 +26,7 @@ test('lexical rollup worker backfills without using the tracker connection', asy
).run();
db.exec('DELETE FROM imm_lexical_daily_rollups');
db.prepare(`UPDATE imm_rollup_state SET state_value = '0' WHERE state_key = ?`).run(
'lexical_daily_rollups_ready',
'lexical_daily_rollups_version',
);
db.close();
@@ -101,3 +101,36 @@ test('lexical rollup worker absorbs termination failures after settling', async
runtime.destroy();
}
});
test('lexical rollup worker times out when it never responds', async () => {
let terminated = false;
const runtime = new LexicalRollupWorkerRuntime({
resolveWorkerPath: () => '/tmp/fake-worker.js',
createWorker: async () => ({
once() {
return this;
},
terminate: async () => {
terminated = true;
return 0;
},
}),
timeoutMs: 1,
warn: () => {},
} as never);
try {
const outcome = await Promise.race([
runtime.run('/tmp/not-used.sqlite').then(
() => 'resolved',
(error: unknown) => String(error),
),
new Promise<string>((resolve) => setTimeout(() => resolve('still pending'), 50)),
]);
assert.match(outcome, /timed out/);
assert.equal(terminated, true);
} finally {
runtime.destroy();
}
});
@@ -17,10 +17,12 @@ interface WorkerHandle {
interface LexicalRollupWorkerRuntimeOptions {
resolveWorkerPath?: () => string | null;
createWorker?: (workerPath: string, workerData: { dbPath: string }) => Promise<WorkerHandle>;
timeoutMs?: number;
warn?: (message: string, ...meta: unknown[]) => void;
}
const logger = createLogger('main:immersion-tracker:lexical-rollup-worker');
const DEFAULT_WORKER_TIMEOUT_MS = 5 * 60 * 1_000;
export function resolveLexicalRollupWorkerPath(): string | null {
const fileName = __filename.endsWith('.ts')
@@ -65,15 +67,21 @@ export class LexicalRollupWorkerRuntime {
return new Promise<void>((resolve, reject) => {
let settled = false;
let timeout: ReturnType<typeof setTimeout> | null = null;
this.activeWorkers.add(worker);
const settle = (error?: Error) => {
if (settled) return;
settled = true;
if (timeout) clearTimeout(timeout);
this.activeWorkers.delete(worker);
void worker.terminate().catch(() => undefined);
if (error) reject(error);
else resolve();
};
timeout = setTimeout(
() => settle(new Error('Lexical rollup worker timed out')),
this.options.timeoutMs ?? DEFAULT_WORKER_TIMEOUT_MS,
);
worker.once('message', (message) => {
if (message.ok) settle();
else
@@ -21,7 +21,7 @@ test('lexical rollup backfill materializes pre-existing vocabulary off the calle
).run('犬', '犬', 'いぬ', 1_700_000_000, 1_700_000_000);
db.exec('DELETE FROM imm_lexical_daily_rollups');
db.prepare(`UPDATE imm_rollup_state SET state_value = '0' WHERE state_key = ?`).run(
'lexical_daily_rollups_ready',
'lexical_daily_rollups_version',
);
executeLexicalRollupBackfillTask(dbPath);
@@ -3,9 +3,17 @@ import fs from 'node:fs';
import os from 'node:os';
import path from 'node:path';
import test from 'node:test';
import { getLexicalDailyRollups, rebuildLexicalDailyRollups } from './lexical-rollups';
import {
areLexicalDailyRollupsReady,
getLexicalDailyRollups,
rebuildLexicalDailyRollups,
} from './lexical-rollups';
import { getTrendsDashboard } from './query-trends';
import { getVocabularyChartData, replaceStatsExcludedWords } from './query-lexical';
import {
getVocabularyChartData,
getVocabularySummary,
replaceStatsExcludedWords,
} from './query-lexical';
import { Database } from './sqlite';
import type { DatabaseSync } from './sqlite';
import { ensureSchema } from './storage';
@@ -51,6 +59,169 @@ test('lexical daily rollups follow first-seen corrections and deletions', () =>
}
});
test('lexical daily rollups normalize second and millisecond timestamps', () => {
const dbPath = makeDbPath();
const db = new Database(dbPath);
try {
ensureSchema(db);
const epochDay = 19_500;
const timestampSeconds = epochDay * 86_400 + 43_200;
const timestampMilliseconds = timestampSeconds * 1_000;
db.prepare(
`INSERT INTO imm_words(headword, word, reading, first_seen, last_seen, frequency)
VALUES (?, ?, ?, ?, ?, 1)`,
).run('猫', '猫', 'ねこ', timestampSeconds, timestampSeconds);
db.prepare(
`INSERT INTO imm_words(headword, word, reading, first_seen, last_seen, frequency)
VALUES (?, ?, ?, ?, ?, 1)`,
).run('犬', '犬', 'いぬ', timestampMilliseconds, timestampMilliseconds);
db.prepare(
`INSERT INTO imm_kanji(kanji, first_seen, last_seen, frequency)
VALUES (?, ?, ?, 1)`,
).run('猫', timestampSeconds, timestampSeconds);
db.prepare(
`INSERT INTO imm_kanji(kanji, first_seen, last_seen, frequency)
VALUES (?, ?, ?, 1)`,
).run('犬', timestampMilliseconds, timestampMilliseconds);
assert.deepEqual(getLexicalDailyRollups(db), [
{ epochDay, wordCount: 2, wordCountWithoutNames: 2, kanjiCount: 2 },
]);
} finally {
db.close();
fs.rmSync(path.dirname(dbPath), { recursive: true, force: true });
}
});
test('lexical rollup rebuild excludes rows hidden by vocabulary persistence rules', () => {
const dbPath = makeDbPath();
const db = new Database(dbPath);
try {
ensureSchema(db);
const epochDay = 19_500;
const firstSeen = epochDay * 86_400 + 43_200;
db.prepare(
`INSERT INTO imm_words(
headword, word, reading, part_of_speech, first_seen, last_seen, frequency
) VALUES (?, ?, ?, ?, ?, ?, 1)`,
).run('猫', '猫', 'ねこ', 'noun', firstSeen, firstSeen);
db.prepare(
`INSERT INTO imm_words(
headword, word, reading, part_of_speech, first_seen, last_seen, frequency
) VALUES (?, ?, ?, ?, ?, ?, 1)`,
).run('は', 'は', 'は', 'particle', firstSeen, firstSeen);
rebuildLexicalDailyRollups(db);
assert.deepEqual(getLexicalDailyRollups(db), [
{ epochDay, wordCount: 1, wordCountWithoutNames: 1, kanjiCount: 0 },
]);
} finally {
db.close();
fs.rmSync(path.dirname(dbPath), { recursive: true, force: true });
}
});
test('lexical rollup rebuild tolerates nullable legacy vocabulary text', () => {
const dbPath = makeDbPath();
const db = new Database(dbPath);
try {
ensureSchema(db);
db.prepare(
`INSERT INTO imm_words(headword, word, reading, first_seen, last_seen, frequency)
VALUES (NULL, NULL, NULL, 1700000000, 1700000000, 1)`,
).run();
db.prepare(
`INSERT INTO imm_words(headword, word, reading, first_seen, last_seen, frequency)
VALUES (NULL, '猫', 'ねこ', 1700000000, 1700000000, 1)`,
).run();
assert.doesNotThrow(() => rebuildLexicalDailyRollups(db));
assert.equal(areLexicalDailyRollupsReady(db), true);
assert.equal(getVocabularySummary(db, null).uniqueWords, 1);
assert.equal(getVocabularySummary(db, new Set(['猫'])).knownWordCount, 1);
assert.equal(getVocabularyChartData(db).topWords[0]?.headword, '猫');
} finally {
db.close();
fs.rmSync(path.dirname(dbPath), { recursive: true, force: true });
}
});
test('chart exclusions do not subtract vocabulary rows already hidden from the rollup', () => {
const dbPath = makeDbPath();
const db = new Database(dbPath);
try {
ensureSchema(db);
const epochDay = 19_500;
const firstSeen = epochDay * 86_400 + 43_200;
db.prepare(
`INSERT INTO imm_words(
headword, word, reading, part_of_speech, first_seen, last_seen, frequency
) VALUES (?, ?, ?, ?, ?, ?, 1)`,
).run('猫', '猫', 'ねこ', 'noun', firstSeen, firstSeen);
db.prepare(
`INSERT INTO imm_words(
headword, word, reading, part_of_speech, first_seen, last_seen, frequency
) VALUES (?, ?, ?, ?, ?, ?, 1)`,
).run('は', 'は', 'は', 'particle', firstSeen, firstSeen);
rebuildLexicalDailyRollups(db);
replaceStatsExcludedWords(db, [{ headword: 'は', word: 'は', reading: 'は' }]);
const charts = getVocabularyChartData(db);
assert.deepEqual(charts.newWordsTimeline, [{ epochDay, wordCount: 1 }]);
assert.deepEqual(charts.newWordsTimelineWithoutNames, [{ epochDay, wordCount: 1 }]);
} finally {
db.close();
fs.rmSync(path.dirname(dbPath), { recursive: true, force: true });
}
});
test('legacy lexical rollup readiness does not satisfy the current rollup version', () => {
const dbPath = makeDbPath();
const db = new Database(dbPath);
try {
ensureSchema(db);
db.prepare(
`INSERT INTO imm_rollup_state(state_key, state_value)
VALUES ('lexical_daily_rollups_ready', '1')
ON CONFLICT(state_key) DO UPDATE SET state_value = excluded.state_value`,
).run();
db.prepare(
`DELETE FROM imm_rollup_state WHERE state_key = 'lexical_daily_rollups_version'`,
).run();
assert.equal(areLexicalDailyRollupsReady(db), false);
} finally {
db.close();
fs.rmSync(path.dirname(dbPath), { recursive: true, force: true });
}
});
test('imm_words persists vocabulary visibility for rollup maintenance', () => {
const dbPath = makeDbPath();
const db = new Database(dbPath);
try {
ensureSchema(db);
const columns = db.prepare(`PRAGMA table_info(imm_words)`).all() as Array<{ name: string }>;
assert.equal(
columns.some((column) => column.name === 'vocabulary_visible'),
true,
);
} finally {
db.close();
fs.rmSync(path.dirname(dbPath), { recursive: true, force: true });
}
});
test('vocabulary charts use complete top-word and lexical rollup data', () => {
const dbPath = makeDbPath();
const db = new Database(dbPath);
@@ -146,6 +317,9 @@ test('lexical rollup rebuild preserves the original error when rollback also fai
if (sql === 'ROLLBACK') throw new Error('rollback failed');
throw originalError;
},
prepare() {
return { all: () => [], run: () => undefined };
},
} as unknown as DatabaseSync;
assert.throws(() => rebuildLexicalDailyRollups(db), originalError);
@@ -1,4 +1,5 @@
import type { DatabaseSync } from './sqlite';
import { isVocabularyStatsRowVisible, type VocabularyVisibilityRow } from './vocabulary-visibility';
export interface LexicalDailyRollup {
epochDay: number;
@@ -8,11 +9,20 @@ export interface LexicalDailyRollup {
}
const LOCAL_EPOCH_DAY_SQL = `
CAST(julianday(CAST(%VALUE% AS REAL), 'unixepoch', 'localtime') - 2440587.5 AS INTEGER)
CAST(julianday(
CASE
WHEN ABS(CAST(%VALUE% AS REAL)) >= 10000000000 THEN CAST(%VALUE% AS REAL) / 1000
ELSE CAST(%VALUE% AS REAL)
END,
'unixepoch', 'localtime'
) - 2440587.5 AS INTEGER)
`;
const LEXICAL_DAILY_ROLLUP_VERSION = '2';
const LEXICAL_DAILY_ROLLUP_VERSION_KEY = 'lexical_daily_rollups_version';
export function localEpochDaySql(value: string): string {
return LOCAL_EPOCH_DAY_SQL.replace('%VALUE%', value);
return LOCAL_EPOCH_DAY_SQL.replaceAll('%VALUE%', value);
}
function createWordRollupTriggers(db: DatabaseSync): void {
@@ -20,9 +30,13 @@ function createWordRollupTriggers(db: DatabaseSync): void {
const dayForOld = localEpochDaySql('OLD.first_seen');
db.exec(`
CREATE TRIGGER IF NOT EXISTS imm_words_lexical_rollup_insert
DROP TRIGGER IF EXISTS imm_words_lexical_rollup_insert;
DROP TRIGGER IF EXISTS imm_words_lexical_rollup_delete;
DROP TRIGGER IF EXISTS imm_words_lexical_rollup_first_seen_update;
CREATE TRIGGER imm_words_lexical_rollup_insert
AFTER INSERT ON imm_words
WHEN NEW.first_seen IS NOT NULL
WHEN NEW.first_seen IS NOT NULL AND NEW.vocabulary_visible = 1
BEGIN
INSERT INTO imm_lexical_daily_rollups(epoch_day, word_count, word_count_without_names, kanji_count)
VALUES (${dayForNew}, 1, CASE WHEN NEW.pos2 = '固有名詞' THEN 0 ELSE 1 END, 0)
@@ -31,9 +45,9 @@ function createWordRollupTriggers(db: DatabaseSync): void {
word_count_without_names = word_count_without_names + excluded.word_count_without_names;
END;
CREATE TRIGGER IF NOT EXISTS imm_words_lexical_rollup_delete
CREATE TRIGGER imm_words_lexical_rollup_delete
AFTER DELETE ON imm_words
WHEN OLD.first_seen IS NOT NULL
WHEN OLD.first_seen IS NOT NULL AND OLD.vocabulary_visible = 1
BEGIN
INSERT INTO imm_lexical_daily_rollups(epoch_day, word_count, word_count_without_names, kanji_count)
VALUES (${dayForOld}, -1, CASE WHEN OLD.pos2 = '固有名詞' THEN 0 ELSE -1 END, 0)
@@ -44,19 +58,21 @@ function createWordRollupTriggers(db: DatabaseSync): void {
WHERE epoch_day = ${dayForOld} AND word_count = 0 AND kanji_count = 0;
END;
CREATE TRIGGER IF NOT EXISTS imm_words_lexical_rollup_first_seen_update
AFTER UPDATE OF first_seen, pos2 ON imm_words
WHEN OLD.first_seen IS NOT NEW.first_seen OR OLD.pos2 IS NOT NEW.pos2
CREATE TRIGGER imm_words_lexical_rollup_first_seen_update
AFTER UPDATE OF first_seen, pos2, vocabulary_visible ON imm_words
WHEN OLD.first_seen IS NOT NEW.first_seen
OR OLD.pos2 IS NOT NEW.pos2
OR OLD.vocabulary_visible IS NOT NEW.vocabulary_visible
BEGIN
INSERT INTO imm_lexical_daily_rollups(epoch_day, word_count, word_count_without_names, kanji_count)
SELECT ${dayForOld}, -1, CASE WHEN OLD.pos2 = '固有名詞' THEN 0 ELSE -1 END, 0
WHERE OLD.first_seen IS NOT NULL
WHERE OLD.first_seen IS NOT NULL AND OLD.vocabulary_visible = 1
ON CONFLICT(epoch_day) DO UPDATE SET
word_count = word_count - 1,
word_count_without_names = word_count_without_names + excluded.word_count_without_names;
INSERT INTO imm_lexical_daily_rollups(epoch_day, word_count, word_count_without_names, kanji_count)
SELECT ${dayForNew}, 1, CASE WHEN NEW.pos2 = '固有名詞' THEN 0 ELSE 1 END, 0
WHERE NEW.first_seen IS NOT NULL
WHERE NEW.first_seen IS NOT NULL AND NEW.vocabulary_visible = 1
ON CONFLICT(epoch_day) DO UPDATE SET
word_count = word_count + 1,
word_count_without_names = word_count_without_names + excluded.word_count_without_names;
@@ -70,14 +86,18 @@ function createKanjiRollupTriggers(db: DatabaseSync): void {
const dayForNew = localEpochDaySql('NEW.first_seen');
const dayForOld = localEpochDaySql('OLD.first_seen');
db.exec(`
CREATE TRIGGER IF NOT EXISTS imm_kanji_lexical_rollup_insert
DROP TRIGGER IF EXISTS imm_kanji_lexical_rollup_insert;
DROP TRIGGER IF EXISTS imm_kanji_lexical_rollup_delete;
DROP TRIGGER IF EXISTS imm_kanji_lexical_rollup_first_seen_update;
CREATE TRIGGER imm_kanji_lexical_rollup_insert
AFTER INSERT ON imm_kanji WHEN NEW.first_seen IS NOT NULL
BEGIN
INSERT INTO imm_lexical_daily_rollups(epoch_day, word_count, word_count_without_names, kanji_count)
VALUES (${dayForNew}, 0, 0, 1)
ON CONFLICT(epoch_day) DO UPDATE SET kanji_count = kanji_count + 1;
END;
CREATE TRIGGER IF NOT EXISTS imm_kanji_lexical_rollup_delete
CREATE TRIGGER imm_kanji_lexical_rollup_delete
AFTER DELETE ON imm_kanji WHEN OLD.first_seen IS NOT NULL
BEGIN
INSERT INTO imm_lexical_daily_rollups(epoch_day, word_count, word_count_without_names, kanji_count)
@@ -86,7 +106,7 @@ function createKanjiRollupTriggers(db: DatabaseSync): void {
DELETE FROM imm_lexical_daily_rollups
WHERE epoch_day = ${dayForOld} AND word_count = 0 AND kanji_count = 0;
END;
CREATE TRIGGER IF NOT EXISTS imm_kanji_lexical_rollup_first_seen_update
CREATE TRIGGER imm_kanji_lexical_rollup_first_seen_update
AFTER UPDATE OF first_seen ON imm_kanji WHEN OLD.first_seen IS NOT NEW.first_seen
BEGIN
INSERT INTO imm_lexical_daily_rollups(epoch_day, word_count, word_count_without_names, kanji_count)
@@ -109,7 +129,7 @@ export function ensureLexicalDailyRollupTables(db: DatabaseSync): void {
kanji_count INTEGER NOT NULL DEFAULT 0
);
INSERT INTO imm_rollup_state(state_key, state_value)
VALUES ('lexical_daily_rollups_ready', '0')
VALUES ('${LEXICAL_DAILY_ROLLUP_VERSION_KEY}', '0')
ON CONFLICT(state_key) DO NOTHING;
`);
createWordRollupTriggers(db);
@@ -119,14 +139,16 @@ export function ensureLexicalDailyRollupTables(db: DatabaseSync): void {
export function areLexicalDailyRollupsReady(db: DatabaseSync): boolean {
const row = db
.prepare(`SELECT state_value AS value FROM imm_rollup_state WHERE state_key = ?`)
.get('lexical_daily_rollups_ready') as { value: string } | null;
return row?.value === '1';
.get(LEXICAL_DAILY_ROLLUP_VERSION_KEY) as { value: string } | null;
return row?.value === LEXICAL_DAILY_ROLLUP_VERSION;
}
export function markLexicalDailyRollupsReady(db: DatabaseSync): void {
db.prepare(`UPDATE imm_rollup_state SET state_value = '1' WHERE state_key = ?`).run(
'lexical_daily_rollups_ready',
);
db.prepare(
`INSERT INTO imm_rollup_state(state_key, state_value)
VALUES (?, ?)
ON CONFLICT(state_key) DO UPDATE SET state_value = excluded.state_value`,
).run(LEXICAL_DAILY_ROLLUP_VERSION_KEY, LEXICAL_DAILY_ROLLUP_VERSION);
}
/** Rebuild from the first-seen source of truth; run off the UI/main DB thread. */
@@ -135,13 +157,27 @@ export function rebuildLexicalDailyRollups(db: DatabaseSync): void {
try {
db.exec('BEGIN IMMEDIATE');
transactionStarted = true;
const vocabularyRows = db
.prepare(
`SELECT id, word, headword, reading, part_of_speech AS partOfSpeech,
pos1, pos2, pos3, frequency_rank AS frequencyRank
FROM imm_words`,
)
.all() as Array<VocabularyVisibilityRow & { id: number }>;
const updateVisibility = db.prepare(
`UPDATE imm_words SET vocabulary_visible = ? WHERE id = ? AND vocabulary_visible IS NOT ?`,
);
for (const row of vocabularyRows) {
const visible = isVocabularyStatsRowVisible(row) ? 1 : 0;
updateVisibility.run(visible, row.id, visible);
}
db.exec('DELETE FROM imm_lexical_daily_rollups');
db.exec(`
INSERT INTO imm_lexical_daily_rollups(epoch_day, word_count, word_count_without_names, kanji_count)
SELECT ${localEpochDaySql('first_seen')}, COUNT(*),
SUM(CASE WHEN pos2 = '固有名詞' THEN 0 ELSE 1 END), 0
FROM imm_words
WHERE first_seen IS NOT NULL
WHERE first_seen IS NOT NULL AND vocabulary_visible = 1
GROUP BY ${localEpochDaySql('first_seen')};
INSERT INTO imm_lexical_daily_rollups(epoch_day, word_count, word_count_without_names, kanji_count)
SELECT ${localEpochDaySql('first_seen')}, 0, 0, COUNT(*)
@@ -1,6 +1,4 @@
import type { DatabaseSync } from './sqlite';
import { PartOfSpeech, type MergedToken } from '../../../types';
import { shouldExcludeTokenFromVocabularyPersistence } from '../tokenizer/annotation-stage';
import type {
KanjiAnimeAppearanceRow,
KanjiDetailRow,
@@ -25,6 +23,7 @@ import {
getLexicalDailyRollups,
localEpochDaySql,
} from './lexical-rollups';
import { isVocabularyStatsRowVisible } from './vocabulary-visibility';
const VOCABULARY_STATS_FILTER_OVERSAMPLE_FACTOR = 4;
const VOCABULARY_STATS_FILTER_OVERSAMPLE_MIN = 100;
@@ -91,33 +90,6 @@ function uniqueKanji(text: string): string[] {
return Array.from(new Set(text.match(KANJI_PATTERN) ?? []));
}
function toVocabularyToken(row: VocabularyStatsRow): MergedToken {
const partOfSpeech =
row.partOfSpeech && Object.values(PartOfSpeech).includes(row.partOfSpeech as PartOfSpeech)
? (row.partOfSpeech as PartOfSpeech)
: PartOfSpeech.other;
return {
surface: row.word,
reading: row.reading ?? '',
headword: row.headword,
startPos: 0,
endPos: row.word.length,
partOfSpeech,
pos1: row.pos1 ?? '',
pos2: row.pos2 ?? '',
pos3: row.pos3 ?? '',
frequencyRank: row.frequencyRank ?? undefined,
isMerged: false,
isKnown: false,
isNPlusOneTarget: false,
};
}
function isVocabularyStatsRowVisible(row: VocabularyStatsRow): boolean {
return !shouldExcludeTokenFromVocabularyPersistence(toVocabularyToken(row));
}
export function getVocabularyStats(
db: DatabaseSync,
limit = 100,
@@ -204,7 +176,8 @@ export function getVocabularyChartData(db: DatabaseSync): VocabularyChartData {
SELECT id AS wordId, headword, word, reading, pos2,
${localEpochDaySql('first_seen')} AS epochDay
FROM imm_words
WHERE headword IN (${placeholders}) OR word IN (${placeholders}) OR reading IN (${placeholders})
WHERE vocabulary_visible = 1
AND (headword IN (${placeholders}) OR word IN (${placeholders}) OR reading IN (${placeholders}))
`,
)
.all(...batch, ...batch, ...batch) as Array<
@@ -227,12 +200,12 @@ export function getVocabularyChartData(db: DatabaseSync): VocabularyChartData {
ready,
topWords: topWords.all.map((word) => ({
wordId: word.wordId,
headword: word.headword,
headword: vocabularyDisplayHeadword(word),
frequency: word.frequency,
})),
topWordsWithoutNames: topWords.withoutNames.map((word) => ({
wordId: word.wordId,
headword: word.headword,
headword: vocabularyDisplayHeadword(word),
frequency: word.frequency,
})),
newWordsTimeline: [...timeline.values()]
@@ -281,11 +254,17 @@ function getTopVocabularyChartWords(
function excludedVocabularyAliases(
word: Pick<VocabularyStatsRow, 'headword' | 'word' | 'reading'>,
): string[] {
const aliases = [word.headword.trim(), word.word.trim()].filter(Boolean);
if (aliases.length === 0) aliases.push(word.reading.trim());
const aliases = [word.headword?.trim() ?? '', word.word?.trim() ?? ''].filter(Boolean);
if (aliases.length === 0) aliases.push(word.reading?.trim() ?? '');
return [...new Set(aliases)];
}
function vocabularyDisplayHeadword(
word: Pick<VocabularyStatsRow, 'headword' | 'word' | 'reading'>,
): string {
return word.headword?.trim() || word.word?.trim() || word.reading?.trim() || '';
}
function timestampSeconds(timestamp: number): number {
return timestamp < 10_000_000_000 ? timestamp : Math.floor(timestamp / 1000);
}
@@ -338,7 +317,7 @@ export function getVocabularySummary(
}
const isName = word.pos2 === '固有名詞';
const isNewThisWeek = timestampSeconds(fromDbTimestamp(word.firstSeen) ?? 0) >= weekAgoSec;
const isKnown = knownWords?.has(word.headword) ?? false;
const isKnown = knownWords?.has(vocabularyDisplayHeadword(word)) ?? false;
summary.uniqueWords += 1;
if (!isName) summary.uniqueWordsWithoutNames += 1;
if (isNewThisWeek) {
+14 -2
View File
@@ -1069,6 +1069,7 @@ export function ensureSchema(db: DatabaseSync): void {
last_seen REAL,
frequency INTEGER,
frequency_rank INTEGER,
vocabulary_visible INTEGER NOT NULL DEFAULT 1 CHECK(vocabulary_visible IN (0, 1)),
UNIQUE(headword, word, reading)
);
`);
@@ -1452,6 +1453,15 @@ export function ensureSchema(db: DatabaseSync): void {
addColumnIfMissing(db, 'imm_sessions', 'ended_media_ms', 'INTEGER');
}
if (currentVersion?.schema_version && currentVersion.schema_version < 23) {
addColumnIfMissing(
db,
'imm_words',
'vocabulary_visible',
'INTEGER NOT NULL DEFAULT 1 CHECK(vocabulary_visible IN (0, 1))',
);
}
migrateSessionEventTimestampsToText(db);
ensureLexicalDailyRollupTables(db);
@@ -1625,9 +1635,10 @@ export function createTrackerPreparedStatements(db: DatabaseSync): TrackerPrepar
`),
wordUpsertStmt: db.prepare(`
INSERT INTO imm_words (
headword, word, reading, part_of_speech, pos1, pos2, pos3, first_seen, last_seen, frequency, frequency_rank
headword, word, reading, part_of_speech, pos1, pos2, pos3, first_seen, last_seen,
frequency, frequency_rank, vocabulary_visible
) VALUES (
?, ?, ?, ?, ?, ?, ?, ?, ?, 1, ?
?, ?, ?, ?, ?, ?, ?, ?, ?, 1, ?, 1
)
ON CONFLICT(headword, word, reading) DO UPDATE SET
frequency = COALESCE(frequency, 0) + 1,
@@ -1640,6 +1651,7 @@ export function createTrackerPreparedStatements(db: DatabaseSync): TrackerPrepar
pos1 = COALESCE(NULLIF(imm_words.pos1, ''), excluded.pos1),
pos2 = COALESCE(NULLIF(imm_words.pos2, ''), excluded.pos2),
pos3 = COALESCE(NULLIF(imm_words.pos3, ''), excluded.pos3),
vocabulary_visible = 1,
first_seen = MIN(COALESCE(first_seen, excluded.first_seen), excluded.first_seen),
last_seen = MAX(COALESCE(last_seen, excluded.last_seen), excluded.last_seen),
frequency_rank = CASE
+1 -1
View File
@@ -1,4 +1,4 @@
export const SCHEMA_VERSION = 22;
export const SCHEMA_VERSION = 23;
export const DEFAULT_QUEUE_CAP = 1_000;
export const DEFAULT_BATCH_SIZE = 25;
export const DEFAULT_FLUSH_INTERVAL_MS = 500;
@@ -0,0 +1,43 @@
import { PartOfSpeech, type MergedToken } from '../../../types';
import { shouldExcludeTokenFromVocabularyPersistence } from '../tokenizer/annotation-stage';
export interface VocabularyVisibilityRow {
word: string | null;
headword: string | null;
reading?: string | null;
partOfSpeech?: string | null;
pos1?: string | null;
pos2?: string | null;
pos3?: string | null;
frequencyRank?: number | null;
}
function toVocabularyToken(row: VocabularyVisibilityRow): MergedToken {
const word = row.word ?? '';
const headword = row.headword ?? word;
const partOfSpeech =
row.partOfSpeech && Object.values(PartOfSpeech).includes(row.partOfSpeech as PartOfSpeech)
? (row.partOfSpeech as PartOfSpeech)
: PartOfSpeech.other;
return {
surface: word,
reading: row.reading ?? '',
headword,
startPos: 0,
endPos: word.length,
partOfSpeech,
pos1: row.pos1 ?? '',
pos2: row.pos2 ?? '',
pos3: row.pos3 ?? '',
frequencyRank: row.frequencyRank ?? undefined,
isMerged: false,
isKnown: false,
isNPlusOneTarget: false,
};
}
export function isVocabularyStatsRowVisible(row: VocabularyVisibilityRow): boolean {
if (!(row.word?.trim() || row.headword?.trim())) return false;
return !shouldExcludeTokenFromVocabularyPersistence(toVocabularyToken(row));
}