npm install -g @napi-rs/cli

napi new my-project

#![deny(clippy::all)]



use image::codecs::png::{CompressionType, FilterType, PngEncoder};

use image::Luma;

use qrcode::{EcLevel, QrCode};

#[macro_use]

extern crate napi_derive;



#[napi]

pub fn sum(a: i32, b: i32) -> i32 {

  a + b

}



#[napi]

pub fn generate_qr_code(text: String) -> Result<Vec<u8>, napi::Error> {

  let qr = QrCode::with_error_correction_level(&text, EcLevel::L)

    .map_err(|e| napi::Error::new(napi::Status::Unknown, e.to_string()))?;

  let img_buf = qr.render::<Luma<u8>>().min_dimensions(200, 200).build();

  let mut encoded_buf = Vec::with_capacity(512);

  let encoder = PngEncoder::new_with_quality(

    &mut encoded_buf,

    CompressionType::Default,

    FilterType::NoFilter,

  );

  img_buf

    .write_with_encoder(encoder)

    .map_err(|e| napi::Error::new(napi::Status::Unknown, e.to_string()))?;

  Ok(encoded_buf)

}

cd my-project

npm run build

const express = require('express');

const utils = require('./index.js'); // 确保 index.js 中有 sum 和 generateQrCode 方法



const app = express();

const PORT = 3000;



// 设置一个 API 接口生成 QR 码

app.get('/qrcode', (req, res) => {

    try {

        const data = utils.generateQrCode('https://www.google.com');



        const buffer = Buffer.from(data);



        const base64Image = buffer.toString('base64');



        const dataUrl = `data:image/png;base64,${base64Image}`;



        res.json({ qrcode: dataUrl });

    } catch (error) {

        console.error(error);

        res.status(500).json({ error: '生成 QR 码时出错' });

    }

});



// 启动服务器

app.listen(PORT, () => {

    console.log(`服务正在运行，监听端口 ${PORT}`);

});

node test.js