据我所知,web worker需要写在一个单独的JavaScript文件中,并像这样调用:
new Worker('longrunning.js')
我正在使用闭包编译器来合并和缩小我所有的JavaScript源代码,我不希望将我的worker放在单独的文件中进行分发。有什么办法可以做到吗?
new Worker(function() {
//Long-running work here
});
既然一级函数对JavaScript如此重要,为什么标准的后台工作方式必须从web服务器加载整个其他JavaScript文件呢?
我的看法是:
function BuildWorker(fn){
var str = fn.toString().match(/^[^{]+{([\s\S]+)}\s*$/m)[1];
return new Worker(window.URL.createObjectURL(
new Blob([str],{type:'text/javascript'})));
}
function createAsyncWorker(fn){
// asyncworker=createAsyncWorker(function(){
// importScripts('my_otherscript.js');
// self.onmessage = function([arg1,arg2]) {
// self.postMessage('msg from worker');
// };
// })
// await asyncworker.postMessage('arg1','value')
// await asyncworker.postMessage('arg1','value')
// asyncworker.worker.terminate()
var worker = BuildWorker(fn);
function postMessage(...message){
let external={}, promise= new Promise((resolve,reject)=>{external.resolve=resolve;external.reject=reject;})
worker.onmessage = function(message){ external.resolve(message.data)};
worker.postMessage(message); // Start the worker.
return promise;
}
return {worker,postMessage};
}
使用的例子:
autoarima = createAsyncWorker(function(){
importScripts("https://127.0.0.1:11000/arima.js")
self.onmessage=(message)=>{
let [action,arg1,arg2]=message.data
if(action=='load')
{
ARIMAPromise.then(ARIMA1 => {
ARIMA=ARIMA1
autoarima = new ARIMA({ auto: true });
// const ts = Array(10).fill(0).map((_, i) => i + Math.random() / 5)
// const arima = new ARIMA({ p: 2, d: 1, q: 2, P: 0, D: 0, Q: 0, S: 0, verbose: false }).train(ts)
// const [pred, errors] = arima.predict(10)
postMessage('ok')
});
}
if(action=='fit')
{
autoarima.fit(arg1)
postMessage('ok')
}
if(action=='predict')
{
postMessage(autoarima.predict(arg1,arg2))
}
};
})
autoarima.terminate=function(){ this.worker.terminate(); }
autoarima.load=async function(...args){return await this.postMessage('load',...args)}
autoarima.fit=async function(...args){return await this.postMessage('fit',...args)}
autoarima.predict=async function(...args){return await this.postMessage('predict',...args)}
await autoarima.load()
await autoarima.fit(b_values)
await autoarima.predict(1)
@Trincot's似乎是目前为止最好的。然而,也许我们可以进一步发展它。所以我的想法是,
我们不要修改Function.prototype。
为线程操作获取函数的承诺/线程化版本。
如果需要,请确保仍然可以同步调用该函数。
因此,我们用spawn方法定义了Threadable类。一旦我们将函数设为该类的成员,那么它就是可线程的:)
class Threadable extends Function {
constructor(f){
super("...as",`return ${f.toString()}.apply(this,as)`);
}
spawn(...as){
var code = `self.onmessage = m => self.postMessage((${this.toString()}).apply(self,m.data));`,
blob = new Blob([code], {type: "text/javascript"}),
wrkr = new Worker(window.URL.createObjectURL(blob));
return new Promise( (v,x) => ( wrkr.onmessage = m => (v(m.data), wrkr.terminate())
, wrkr.onerror = e => (x(e.message), wrkr.terminate())
, wrkr.postMessage(as)
)
);
}
}
function add(...nums) {
return nums.reduce((a,b) => a+b);
}
var addT = new Threadable(add);
addT.spawn(1,2,3,4)
.then(m => console.log(`Promisified thread returned ${m}`));
console.log(`Synchronous invocation of addT returned ${addT(1,2,3,4)}`);
对于Node.js实现,可以使用以下对Trincot答案的改编。再次注意,Function.prototype.callAsWorker()接受一个thisArg和参数,就像Function.prototype.call()一样,并返回一个承诺。
const { Worker } = require ( 'worker_threads' );
Function.prototype.callAsWorker = function ( ...args ) {
return new Promise( ( resolve, reject ) => {
const code = `
const { parentPort, workerData } = require ( 'worker_threads' );
parentPort.postMessage( ( ${this.toString()} ).call( ...workerData ) )
`;
const worker = new Worker( code, { eval: true, workerData: args } );
worker.on('message', ( msg ) => { resolve( msg ), worker.terminate() } );
worker.on('error', ( err ) => { reject( err ), worker.terminate() } );
worker.on('exit', ( code ) => {
if ( code !== 0 ) {
reject( new Error( `Worker stopped with exit code ${code}.` ) );
}
});
});
}
// Demo
function add( ...nums ) {
return nums.reduce( ( a, b ) => a + b );
}
// Let the worker execute the above function, with the specified arguments
let result = await add.callAsWorker( null, 1, 2, 3 );
console.log( 'result: ', result );