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https://github.com/tiennm99/thptqg2017.git
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tiennm99
6ff2ed99ec
The repo held two near-duplicate projects. 2016/ and 2017/ each carried their
own React frontend, their own copy of the same Rust crate, and their own
package manager setup. 2016/tools/sync-from-thptqg2017.sh existed purely to
copy the parser source between them.
New layout:
index.html + src/ the 2017 frontend, now the only one
data/<id>/ 2016, 2017, 2017-old, 2017-old2
parser/ the single Rust crate, configs renamed to <id>.toml
docs/ both projects' docs, 2016 copies suffixed -2016-legacy
pending the merge pass
<id> is now one identifier end to end: data/<id>/ feeds parser/configs/<id>.toml
and produces db/<id>.db.gz.
pnpm gives way to npm. pnpm-workspace.yaml existed only to whitelist
better-sqlite3's native build, which npm permits by default, so it has no
equivalent and is simply gone. Lockfiles cannot be converted; package-lock.json
is generated fresh. The migration direction is safe — pnpm's strict layout
forbids phantom dependencies, so anything that resolved under pnpm resolves
under npm's flat tree.
Adds parser/scripts/build-db.js and src/datasets.js: the four dataset IDs are
declared once and read by both the build tooling and (from the next phase) the
frontend.
Follow-on fixes the move made necessary:
- eslint's Node-globals override pointed at scripts/, now parser/scripts/
- crawl-baotintuc.js wrote to <root>/data, now data/2017
- golden tests loaded configs by their old thptqg*-data.toml names
Drops the #[ignore]d Rust-vs-Node golden test. It shelled out to pnpm to run
scripts/build-database.js, a file removed when the parser was ported to Rust,
so it could never pass. check-duplicates.js and diff-datasets.js were already
broken before this change and are annotated as such rather than half-fixed.
63 Rust tests pass and clippy is clean from the new location.
80 lines
2.4 KiB
JavaScript
80 lines
2.4 KiB
JavaScript
#!/usr/bin/env node
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/**
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* Dump per-dataset statistics from built SQLite databases as JSON.
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*
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* Used twice: once against the pre-refactor databases to capture a baseline,
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* and again after the schema unification. Comparing the two outputs is what
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* proves no score data was lost or invented.
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*
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* Schema-agnostic on purpose — columns come from PRAGMA table_info, so the same
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* script runs against the old 18/20-column tables and the new 22-column one.
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*
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* Usage:
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* node db-stats.js <label>=<db-path> [<label>=<db-path> ...] > stats.json
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*/
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import { DatabaseSync } from "node:sqlite";
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import { statSync } from "node:fs";
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// Deterministic value-level sample: every SBD ending in these digits.
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// Re-running against a rebuilt DB compares the same students.
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const SAMPLE_SUFFIX = "0000";
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function collect(dbPath) {
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const db = new DatabaseSync(dbPath, { readOnly: true });
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const columns = db
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.prepare("PRAGMA table_info(student)")
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.all()
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.map((c) => c.name);
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const rowCount = db.prepare("SELECT COUNT(*) AS c FROM student").get().c;
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// One pass over the table counting non-NULLs for every column at once.
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const sums = columns
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.map((c) => `SUM(CASE WHEN "${c}" IS NOT NULL THEN 1 ELSE 0 END) AS "${c}"`)
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.join(", ");
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const nonNull = db.prepare(`SELECT ${sums} FROM student`).get();
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const sample = db
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.prepare(
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`SELECT * FROM student WHERE so_bao_danh LIKE '%${SAMPLE_SUFFIX}'
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ORDER BY so_bao_danh`,
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)
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.all();
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db.close();
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return {
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rowCount,
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columns,
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nonNull: Object.fromEntries(columns.map((c) => [c, Number(nonNull[c])])),
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sizeBytes: statSync(dbPath).size,
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sampleCount: sample.length,
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// Store the sample keyed by SBD so a later diff can report which student
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// and which field changed, not just that something did.
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sample: Object.fromEntries(sample.map((r) => [r.so_bao_danh, r])),
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};
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}
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const args = process.argv.slice(2);
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if (args.length === 0) {
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console.error("usage: db-stats.js <label>=<db-path> [...]");
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process.exit(2);
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}
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const out = {};
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for (const arg of args) {
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const idx = arg.indexOf("=");
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if (idx === -1) {
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console.error(`bad argument (expected label=path): ${arg}`);
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process.exit(2);
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}
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const label = arg.slice(0, idx);
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const path = arg.slice(idx + 1);
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process.stderr.write(`collecting ${label} from ${path}\n`);
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out[label] = collect(path);
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}
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process.stdout.write(JSON.stringify(out, null, 2) + "\n");
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