- Update all package names from @glossa/* to @lila/* - Update all imports, container names, volume names - Update documentation references - Recreate database with new credentials
183 lines
5.8 KiB
TypeScript
183 lines
5.8 KiB
TypeScript
/*
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This script performs a cross-reference check between two specific data sets:
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- The "Target" List: It reads the {language}-merged.json file (e.g., en-merged.json). This represents the vocabulary you want to have CEFR levels for.
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- The "Source of Truth": It queries your Database (translations table). This represents the vocabulary you currently have in your app.
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What it calculates:
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It tells you: "Of all the words in my merged JSON file, how many actually exist in my database?"
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Matched: The word from the JSON file was found in the DB. (Ready for enrichment).
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Unmatched: The word from the JSON file was not found in the DB. (These will be skipped during enrichment).
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*/
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import fs from "node:fs/promises";
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import { eq } from "drizzle-orm";
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import {
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SUPPORTED_LANGUAGE_CODES,
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SUPPORTED_POS,
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CEFR_LEVELS,
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DIFFICULTY_LEVELS,
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} from "@lila/shared";
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import { db } from "@lila/db";
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import { terms, translations } from "@lila/db/schema";
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type POS = (typeof SUPPORTED_POS)[number];
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type LanguageCode = (typeof SUPPORTED_LANGUAGE_CODES)[number];
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type CEFRLevel = (typeof CEFR_LEVELS)[number];
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type Difficulty = (typeof DIFFICULTY_LEVELS)[number];
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type MergedRecord = {
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word: string;
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pos: POS;
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cefr: CEFRLevel;
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difficulty: Difficulty;
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sources: string[];
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};
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type CoverageStats = {
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total: number;
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matched: number;
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unmatched: number;
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byCefr: Record<CEFRLevel, { total: number; matched: number }>;
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byDifficulty: Record<Difficulty, { total: number; matched: number }>;
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unmatchedWords: Array<{ word: string; pos: POS; cefr: CEFRLevel }>;
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};
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const dataDir = "./src/data/";
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async function checkCoverage(language: LanguageCode): Promise<void> {
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const filename = `${language}-merged.json`;
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const filepath = dataDir + filename;
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console.log(`\n📄 Checking ${filename}...`);
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// Load merged data
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let records: MergedRecord[];
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try {
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const raw = await fs.readFile(filepath, "utf8");
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records = JSON.parse(raw) as MergedRecord[];
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} catch (e) {
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console.warn(` ⚠️ Could not read file: ${(e as Error).message}`);
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return;
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}
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console.log(` Loaded ${records.length.toLocaleString("en-US")} entries`);
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// Initialize stats
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const stats: CoverageStats = {
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total: records.length,
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matched: 0,
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unmatched: 0,
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byCefr: {} as Record<CEFRLevel, { total: number; matched: number }>,
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byDifficulty: {} as Record<Difficulty, { total: number; matched: number }>,
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unmatchedWords: [],
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};
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for (const level of CEFR_LEVELS)
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stats.byCefr[level] = { total: 0, matched: 0 };
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for (const diff of DIFFICULTY_LEVELS)
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stats.byDifficulty[diff] = { total: 0, matched: 0 };
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// ── BATCHED LOOKUP: Build a Set of existing (word, pos) pairs in DB ──
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console.log(` 🔍 Querying database for existing translations...`);
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// Get all existing translations for this language + POS combo
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const existingRows = await db
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.select({ text: translations.text, pos: terms.pos })
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.from(translations)
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.innerJoin(terms, eq(translations.term_id, terms.id))
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.where(eq(translations.language_code, language));
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// Create a Set for O(1) lookup: "word|pos" -> true
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const existingSet = new Set(
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existingRows.map((row) => `${row.text.toLowerCase()}|${row.pos}`),
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);
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// ── Process records against the in-memory Set ──
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for (const record of records) {
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stats.byCefr[record.cefr].total++;
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stats.byDifficulty[record.difficulty].total++;
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const key = `${record.word.toLowerCase()}|${record.pos}`;
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if (existingSet.has(key)) {
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stats.matched++;
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stats.byCefr[record.cefr].matched++;
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stats.byDifficulty[record.difficulty].matched++;
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} else {
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stats.unmatched++;
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if (stats.unmatchedWords.length < 20) {
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stats.unmatchedWords.push({
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word: record.word,
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pos: record.pos,
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cefr: record.cefr,
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});
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}
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}
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}
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// ── Print results (same as your draft) ──
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console.log(`\n📊 Coverage for ${language}:`);
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console.log(` Total entries: ${stats.total.toLocaleString("en-US")}`);
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console.log(
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` Matched in DB: ${stats.matched.toLocaleString("en-US")} (${((stats.matched / stats.total) * 100).toFixed(1)}%)`,
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);
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console.log(
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` Unmatched: ${stats.unmatched.toLocaleString("en-US")} (${((stats.unmatched / stats.total) * 100).toFixed(1)}%)`,
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);
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console.log(`\n By CEFR level:`);
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for (const level of CEFR_LEVELS) {
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const { total, matched } = stats.byCefr[level];
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if (total > 0) {
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const pct = ((matched / total) * 100).toFixed(1);
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console.log(
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` ${level}: ${matched.toLocaleString("en-US")}/${total.toLocaleString("en-US")} (${pct}%)`,
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);
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}
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}
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console.log(`\n By difficulty:`);
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for (const diff of DIFFICULTY_LEVELS) {
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const { total, matched } = stats.byDifficulty[diff];
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if (total > 0) {
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const pct = ((matched / total) * 100).toFixed(1);
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console.log(
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` ${diff}: ${matched.toLocaleString("en-US")}/${total.toLocaleString("en-US")} (${pct}%)`,
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);
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}
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}
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if (stats.unmatchedWords.length > 0) {
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console.log(`\n⚠️ Sample unmatched words (first 20):`);
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for (const { word, pos, cefr } of stats.unmatchedWords) {
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console.log(` "${word}" (${pos}, ${cefr})`);
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}
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if (stats.unmatched > 20) {
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console.log(` ... and ${stats.unmatched - 20} more`);
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}
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}
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}
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const main = async () => {
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console.log("##########################################");
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console.log("lila — CEFR Coverage Check");
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console.log("##########################################");
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for (const language of SUPPORTED_LANGUAGE_CODES) {
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await checkCoverage(language);
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}
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console.log("\n##########################################");
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console.log("Done");
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console.log("##########################################");
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};
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main().catch((err) => {
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console.error(err);
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process.exit(1);
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});
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