feat: add static score lookup site with Node.js DB builder

- Node script parses 119 Excel files into SQLite (847K students)
- Vite + React frontend with sql.js for client-side querying
- Search by exam ID (số báo danh) or student name
- Gzipped DB (36MB) with download progress bar
- GitHub Actions workflow for GitHub Pages deployment
This commit is contained in:
tiennm99 committed 2026-04-12 23:54:06 +07:00
1 parent 4d20456e32
commit 1cf65be51c
17 files changed
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@@ -0,0 +1,63 @@
name: Deploy to GitHub Pages
on:
push:
branches: [main]
workflow_dispatch:
permissions:
contents: read
pages: write
id-token: write
concurrency:
group: pages
cancel-in-progress: true
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
lfs: true
- uses: actions/setup-node@v4
with:
node-version: 20
cache: npm
cache-dependency-path: |
package-lock.json
web/package-lock.json
- name: Install root dependencies
run: npm ci
- name: Build database
run: npm run build:db
- name: Compress database
run: gzip -k -9 web/public/thptqg2017.db
- name: Install web dependencies
run: cd web && npm ci
- name: Build site
run: cd web && npx vite build
- name: Remove uncompressed db from dist
run: rm -f web/dist/thptqg2017.db
- uses: actions/upload-pages-artifact@v3
with:
path: web/dist
deploy:
needs: build
runs-on: ubuntu-latest
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
steps:
- id: deployment
uses: actions/deploy-pages@v4
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@@ -44,3 +44,13 @@ bin/
### Mac OS ###
.DS_Store
### Node ###
node_modules/
### Generated database ###
web/public/thptqg2017.db
web/public/thptqg2017.db.gz
### Build output ###
web/dist/
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@@ -0,0 +1,619 @@
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"dev": true,
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"dev": true,
"license": "Apache-2.0",
"dependencies": {
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"crc-32": "~1.2.1",
"ssf": "~0.11.2",
"wmf": "~1.0.1",
"word": "~0.3.0"
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"bin": {
"xlsx": "bin/xlsx.njs"
},
"engines": {
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{
"name": "thptqg2017",
"version": "1.0.0",
"description": "Database điểm thi THPT QG 2017",
"main": "index.js",
"scripts": {
"build:db": "node scripts/build-database.js",
"dev": "npm run dev --prefix web",
"build": "npm run build --prefix web",
"preview": "npm run preview --prefix web"
},
"repository": {
"type": "git",
"url": "git+https://github.com/tiennm99/thptqg2017.git"
},
"keywords": [],
"author": "",
"license": "ISC",
"type": "commonjs",
"bugs": {
"url": "https://github.com/tiennm99/thptqg2017/issues"
},
"homepage": "https://github.com/tiennm99/thptqg2017#readme",
"devDependencies": {
"better-sqlite3": "^12.8.0",
"xlsx": "^0.18.5"
}
}
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const XLSX = require("xlsx");
const Database = require("better-sqlite3");
const fs = require("fs");
const path = require("path");
const RAW_DIR = path.join(__dirname, "..", "src", "main", "resources", "raw");
const DB_PATH = path.join(__dirname, "..", "web", "public", "thptqg2017.db");
// Score patterns matching the Java Converter.java regex
const SCORE_PATTERNS = {
toan: /Toán:\s*(\d*\.\d*)/,
ngu_van: /Ngữ văn:\s*(\d*\.\d*)/,
vat_ly: /Vật lí:\s*(\d*\.\d*)/,
hoa_hoc: /Hóa học:\s*(\d*\.\d*)/,
sinh_hoc: /Sinh học:\s*(\d*\.\d*)/,
khtn: /KHTN:\s*(\d*\.\d*)/,
lich_su: /Lịch sử:\s*(\d*\.\d*)/,
dia_ly: /Địa lí:\s*(\d*\.\d*)/,
gdcd: /GDCD:\s*(\d*\.\d*)/,
khxh: /KHXH:\s*(\d*\.\d*)/,
tieng_anh: /Tiếng Anh:\s*(\d*\.\d*)/,
};
// Collect all .xlsx files: raw/ first, then raw/(update)/ to overwrite
function collectExcelFiles() {
const files = [];
// Main raw files first
for (const f of fs.readdirSync(RAW_DIR)) {
const full = path.join(RAW_DIR, f);
if (fs.statSync(full).isFile() && f.endsWith(".xlsx")) {
files.push(full);
}
}
// Update files second (will overwrite via INSERT OR REPLACE)
const updateDir = path.join(RAW_DIR, "(update)");
if (fs.existsSync(updateDir)) {
for (const f of fs.readdirSync(updateDir)) {
const full = path.join(updateDir, f);
if (fs.statSync(full).isFile() && f.endsWith(".xlsx")) {
files.push(full);
}
}
}
return files;
}
// Parse score text into an object of score fields
function parseScores(diemThi) {
const scores = {};
for (const [field, pattern] of Object.entries(SCORE_PATTERNS)) {
const match = diemThi.match(pattern);
if (match) {
scores[field] = parseFloat(match[1]);
}
}
return scores;
}
// Detect if first row is a header (not actual student data)
function isHeaderRow(row) {
if (!row || row.length < 3) return false;
const first = String(row[0] || "").toUpperCase();
return first === "HO_TEN" || first === "HỌ TÊN" || first === "STT";
}
function main() {
// Ensure output directory exists
fs.mkdirSync(path.dirname(DB_PATH), { recursive: true });
// Remove old database if exists
if (fs.existsSync(DB_PATH)) fs.unlinkSync(DB_PATH);
const db = new Database(DB_PATH);
// Create table
db.exec(`
CREATE TABLE student (
so_bao_danh TEXT PRIMARY KEY,
ho_ten TEXT NOT NULL,
ngay_sinh TEXT,
toan REAL,
ngu_van REAL,
vat_ly REAL,
hoa_hoc REAL,
sinh_hoc REAL,
khtn REAL,
lich_su REAL,
dia_ly REAL,
gdcd REAL,
khxh REAL,
tieng_anh REAL
);
CREATE INDEX idx_ho_ten ON student(ho_ten);
`);
const insert = db.prepare(`
INSERT OR REPLACE INTO student
(so_bao_danh, ho_ten, ngay_sinh, toan, ngu_van, vat_ly, hoa_hoc, sinh_hoc, khtn, lich_su, dia_ly, gdcd, khxh, tieng_anh)
VALUES
(@so_bao_danh, @ho_ten, @ngay_sinh, @toan, @ngu_van, @vat_ly, @hoa_hoc, @sinh_hoc, @khtn, @lich_su, @dia_ly, @gdcd, @khxh, @tieng_anh)
`);
const files = collectExcelFiles();
let totalRows = 0;
let errorCount = 0;
// Wrap all inserts in a single transaction for speed
const insertAll = db.transaction((files) => {
for (const file of files) {
const basename = path.basename(file);
let fileRows = 0;
try {
const wb = XLSX.readFile(file);
const ws = wb.Sheets[wb.SheetNames[0]];
const rows = XLSX.utils.sheet_to_json(ws, { header: 1 });
for (let i = 0; i < rows.length; i++) {
const row = rows[i];
// Skip header rows
if (i === 0 && isHeaderRow(row)) continue;
try {
const hoTen = String(row[0] || "").trim();
const ngaySinh = String(row[1] || "").trim();
const soBaoDanh = String(row[2] || "").trim();
const diemThi = String(row[3] || "");
// Validate: soBaoDanh should be numeric-like
if (!soBaoDanh || !hoTen) continue;
const scores = parseScores(diemThi);
insert.run({
so_bao_danh: soBaoDanh,
ho_ten: hoTen,
ngay_sinh: ngaySinh || null,
toan: scores.toan ?? null,
ngu_van: scores.ngu_van ?? null,
vat_ly: scores.vat_ly ?? null,
hoa_hoc: scores.hoa_hoc ?? null,
sinh_hoc: scores.sinh_hoc ?? null,
khtn: scores.khtn ?? null,
lich_su: scores.lich_su ?? null,
dia_ly: scores.dia_ly ?? null,
gdcd: scores.gdcd ?? null,
khxh: scores.khxh ?? null,
tieng_anh: scores.tieng_anh ?? null,
});
fileRows++;
} catch (err) {
errorCount++;
}
}
} catch (err) {
console.error(`Failed to read ${basename}: ${err.message}`);
}
totalRows += fileRows;
console.log(` ${basename}: ${fileRows} rows`);
}
});
console.log(`Processing ${files.length} Excel files...\n`);
insertAll(files);
// Compact the database
db.exec("VACUUM");
const count = db.prepare("SELECT COUNT(*) as cnt FROM student").get();
console.log(`\nDone! ${count.cnt} students in database.`);
console.log(`Errors skipped: ${errorCount}`);
console.log(`Output: ${DB_PATH}`);
const stat = fs.statSync(DB_PATH);
console.log(`Size: ${(stat.size / 1024 / 1024).toFixed(1)} MB`);
db.close();
}
main();
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import js from '@eslint/js'
import globals from 'globals'
import reactHooks from 'eslint-plugin-react-hooks'
import reactRefresh from 'eslint-plugin-react-refresh'
import { defineConfig, globalIgnores } from 'eslint/config'
export default defineConfig([
globalIgnores(['dist']),
{
files: ['**/*.{js,jsx}'],
extends: [
js.configs.recommended,
reactHooks.configs.flat.recommended,
reactRefresh.configs.vite,
],
languageOptions: {
ecmaVersion: 2020,
globals: globals.browser,
parserOptions: {
ecmaVersion: 'latest',
ecmaFeatures: { jsx: true },
sourceType: 'module',
},
},
rules: {
'no-unused-vars': ['error', { varsIgnorePattern: '^[A-Z_]' }],
},
},
])
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<!doctype html>
<html lang="vi">
<head>
<meta charset="UTF-8" />
<link rel="icon" type="image/svg+xml" href="/favicon.svg" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Tra cứu điểm thi THPT QG 2017</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.jsx"></script>
</body>
</html>
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{
"name": "web",
"private": true,
"version": "0.0.0",
"type": "module",
"scripts": {
"dev": "vite",
"build": "vite build",
"lint": "eslint .",
"preview": "vite preview"
},
"dependencies": {
"react": "^19.2.4",
"react-dom": "^19.2.4",
"sql.js": "^1.14.1"
},
"devDependencies": {
"@eslint/js": "^9.39.4",
"@types/react": "^19.2.14",
"@types/react-dom": "^19.2.3",
"@vitejs/plugin-react": "^6.0.1",
"eslint": "^9.39.4",
"eslint-plugin-react-hooks": "^7.0.1",
"eslint-plugin-react-refresh": "^0.5.2",
"globals": "^17.4.0",
"vite": "^8.0.4"
}
}
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.app {
max-width: 1200px;
margin: 0 auto;
padding: 2rem 1rem;
font-family: system-ui, -apple-system, sans-serif;
}
header {
text-align: center;
margin-bottom: 2rem;
}
header h1 {
font-size: 1.8rem;
color: #1a1a2e;
margin-bottom: 0.25rem;
}
.subtitle {
color: #666;
font-size: 0.95rem;
}
/* Search form */
.search-form {
display: flex;
gap: 0.5rem;
max-width: 600px;
margin: 0 auto 1.5rem;
}
.search-form input {
flex: 1;
padding: 0.75rem 1rem;
font-size: 1rem;
border: 2px solid #ddd;
border-radius: 8px;
outline: none;
transition: border-color 0.2s;
}
.search-form input:focus {
border-color: #4361ee;
}
.search-form button {
padding: 0.75rem 1.5rem;
font-size: 1rem;
background: #4361ee;
color: white;
border: none;
border-radius: 8px;
cursor: pointer;
transition: background 0.2s;
}
.search-form button:hover:not(:disabled) {
background: #3a56d4;
}
.search-form button:disabled {
opacity: 0.5;
cursor: not-allowed;
}
/* Loading */
.loading {
text-align: center;
margin: 1rem 0;
color: #555;
}
.progress-bar {
width: 300px;
height: 8px;
background: #eee;
border-radius: 4px;
margin: 0.5rem auto;
overflow: hidden;
}
.progress-fill {
height: 100%;
background: #4361ee;
border-radius: 4px;
transition: width 0.3s;
}
/* Results table */
.table-wrapper {
overflow-x: auto;
margin-top: 1rem;
}
.result-count {
color: #555;
font-size: 0.9rem;
margin-bottom: 0.5rem;
}
table {
width: 100%;
border-collapse: collapse;
font-size: 0.9rem;
}
thead th {
background: #f0f0f5;
padding: 0.6rem 0.5rem;
text-align: left;
white-space: nowrap;
position: sticky;
top: 0;
border-bottom: 2px solid #ddd;
}
tbody td {
padding: 0.5rem;
border-bottom: 1px solid #eee;
}
tbody tr:hover {
background: #f8f9ff;
}
.name-cell {
white-space: nowrap;
}
.score-cell {
text-align: center;
font-variant-numeric: tabular-nums;
}
/* Messages */
.no-results,
.error,
.warning {
text-align: center;
padding: 1rem;
border-radius: 8px;
margin: 1rem 0;
}
.no-results {
color: #666;
background: #f5f5f5;
}
.error {
color: #d32f2f;
background: #fdecea;
}
.warning {
color: #e65100;
background: #fff3e0;
font-size: 0.9rem;
}
/* Footer */
footer {
text-align: center;
margin-top: 3rem;
padding-top: 1rem;
border-top: 1px solid #eee;
color: #999;
font-size: 0.85rem;
}
/* Responsive */
@media (max-width: 600px) {
header h1 {
font-size: 1.3rem;
}
.search-form {
flex-direction: column;
}
table {
font-size: 0.8rem;
}
}
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import { useState, useCallback } from "react";
import { useSqlite } from "./hooks/use-sqlite";
import { SearchForm } from "./components/search-form";
import { ScoreTable } from "./components/score-table";
import "./App.css";
const DB_URL = import.meta.env.BASE_URL + "thptqg2017.db.gz";
const MAX_RESULTS = 100;
function App() {
const { db, loading, error, progress } = useSqlite(DB_URL);
const [results, setResults] = useState(null);
const [searchError, setSearchError] = useState(null);
const handleSearch = useCallback(
(query) => {
if (!db) return;
setSearchError(null);
try {
const isExamId = /^\d+$/.test(query);
let stmt;
if (isExamId) {
// Exact match on số báo danh
stmt = db.prepare(
"SELECT * FROM student WHERE so_bao_danh = $q LIMIT $limit"
);
stmt.bind({ $q: query, $limit: MAX_RESULTS });
} else {
// LIKE search on name (case-insensitive with Vietnamese)
stmt = db.prepare(
"SELECT * FROM student WHERE ho_ten LIKE $q LIMIT $limit"
);
stmt.bind({ $q: `%${query}%`, $limit: MAX_RESULTS });
}
const rows = [];
while (stmt.step()) {
rows.push(stmt.getAsObject());
}
stmt.free();
setResults(rows);
} catch (err) {
setSearchError(err.message);
}
},
[db]
);
return (
<div className="app">
<header>
<h1>Tra cứu điểm thi THPT Quốc gia 2017</h1>
<p className="subtitle">Dữ liệu 847.349 thí sinh toàn quốc</p>
</header>
<main>
{loading && (
<div className="loading">
<p>Đang tải cơ sở dữ liệu... {progress > 0 ? `${progress}%` : ""}</p>
<div className="progress-bar">
<div className="progress-fill" style={{ width: `${progress}%` }} />
</div>
</div>
)}
{error && <p className="error">Lỗi: {error}</p>}
<SearchForm onSearch={handleSearch} disabled={loading || !!error} />
{searchError && <p className="error">Lỗi truy vấn: {searchError}</p>}
<ScoreTable results={results} />
{results && results.length >= MAX_RESULTS && (
<p className="warning">
Hiển thị tối đa {MAX_RESULTS} kết quả. Vui lòng tìm kiếm cụ thể hơn.
</p>
)}
</main>
<footer>
<p>
Nguồn: Sưu tầm từ trang báo thời đó · Dữ liệu chỉ mang tính tham khảo
</p>
</footer>
</div>
);
}
export default App;
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const SUBJECT_COLUMNS = [
{ key: "toan", label: "Toán" },
{ key: "ngu_van", label: "Ngữ văn" },
{ key: "vat_ly", label: "Vật lí" },
{ key: "hoa_hoc", label: "Hóa học" },
{ key: "sinh_hoc", label: "Sinh học" },
{ key: "khtn", label: "KHTN" },
{ key: "lich_su", label: "Lịch sử" },
{ key: "dia_ly", label: "Địa lí" },
{ key: "gdcd", label: "GDCD" },
{ key: "khxh", label: "KHXH" },
{ key: "tieng_anh", label: "Tiếng Anh" },
];
function formatScore(val) {
if (val === null || val === undefined) return "—";
return Number(val).toFixed(2);
}
export function ScoreTable({ results }) {
if (!results) return null;
if (results.length === 0) {
return <p className="no-results">Không tìm thấy kết quả.</p>;
}
return (
<div className="table-wrapper">
<p className="result-count">Tìm thấy {results.length} kết quả</p>
<table>
<thead>
<tr>
<th>SBD</th>
<th>Họ tên</th>
<th>Ngày sinh</th>
{SUBJECT_COLUMNS.map((col) => (
<th key={col.key}>{col.label}</th>
))}
</tr>
</thead>
<tbody>
{results.map((row) => (
<tr key={row.so_bao_danh}>
<td>{row.so_bao_danh}</td>
<td className="name-cell">{row.ho_ten}</td>
<td>{row.ngay_sinh || "—"}</td>
{SUBJECT_COLUMNS.map((col) => (
<td key={col.key} className="score-cell">
{formatScore(row[col.key])}
</td>
))}
</tr>
))}
</tbody>
</table>
</div>
);
}
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import { useState } from "react";
/**
* Search form - auto-detects search mode:
* all digits → exact soBaoDanh match, otherwise → name LIKE search
*/
export function SearchForm({ onSearch, disabled }) {
const [query, setQuery] = useState("");
function handleSubmit(e) {
e.preventDefault();
const trimmed = query.trim();
if (trimmed) onSearch(trimmed);
}
return (
<form onSubmit={handleSubmit} className="search-form">
<input
type="text"
value={query}
onChange={(e) => setQuery(e.target.value)}
placeholder="Nhập số báo danh hoặc họ tên..."
disabled={disabled}
autoFocus
/>
<button type="submit" disabled={disabled || !query.trim()}>
Tra cứu
</button>
</form>
);
}
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import { useState, useEffect, useRef } from "react";
import initSqlJs from "sql.js";
// sql.js WASM file served from node_modules via Vite's public dir or CDN
const SQL_WASM_URL =
"https://sql.js.org/dist/sql-wasm.wasm";
/**
* Hook to load a SQLite database from a URL into sql.js.
* Returns { db, loading, error, progress }.
*/
export function useSqlite(dbUrl) {
const [db, setDb] = useState(null);
const [loading, setLoading] = useState(true);
const [error, setError] = useState(null);
const [progress, setProgress] = useState(0);
const dbRef = useRef(null);
useEffect(() => {
let cancelled = false;
async function load() {
try {
// Init sql.js WASM
const SQL = await initSqlJs({ locateFile: () => SQL_WASM_URL });
// Fetch the gzipped database with progress tracking
const response = await fetch(dbUrl);
if (!response.ok) throw new Error(`Failed to fetch database: ${response.status}`);
const contentLength = +response.headers.get("Content-Length") || 0;
const reader = response.body.getReader();
const chunks = [];
let received = 0;
while (true) {
const { done, value } = await reader.read();
if (done) break;
chunks.push(value);
received += value.length;
if (contentLength > 0) {
setProgress(Math.round((received / contentLength) * 100));
}
}
if (cancelled) return;
// Combine chunks into single ArrayBuffer
const blob = new Blob(chunks);
let arrayBuffer;
// If URL ends with .gz, decompress using DecompressionStream
if (dbUrl.endsWith(".gz")) {
const ds = new DecompressionStream("gzip");
const decompressed = blob.stream().pipeThrough(ds);
const decompressedBlob = await new Response(decompressed).blob();
arrayBuffer = await decompressedBlob.arrayBuffer();
} else {
arrayBuffer = await blob.arrayBuffer();
}
if (cancelled) return;
const database = new SQL.Database(new Uint8Array(arrayBuffer));
dbRef.current = database;
setDb(database);
setLoading(false);
} catch (err) {
if (!cancelled) {
setError(err.message);
setLoading(false);
}
}
}
load();
return () => {
cancelled = true;
if (dbRef.current) {
dbRef.current.close();
dbRef.current = null;
}
};
}, [dbUrl]);
return { db, loading, error, progress };
}
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*,
*::before,
*::after {
box-sizing: border-box;
}
body {
margin: 0;
font-family: system-ui, -apple-system, sans-serif;
-webkit-font-smoothing: antialiased;
background: #fafafa;
color: #333;
}
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import { StrictMode } from 'react'
import { createRoot } from 'react-dom/client'
import './index.css'
import App from './App.jsx'
createRoot(document.getElementById('root')).render(
<StrictMode>
<App />
</StrictMode>,
)
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import { defineConfig } from "vite";
import react from "@vitejs/plugin-react";
export default defineConfig({
plugins: [react()],
base: "/thptqg2017/",
});