Run JSaddle JSM
actions with the GHC Wasm backend.
This can for example be used to compile and run Miso or Reflex apps in the browser.
Important
This project is in an early stage.
-
Miso examples: https://github.com/tweag/ghc-wasm-miso-examples
-
Reflex examples: https://github.com/tweag/ghc-wasm-reflex-examples
-
Ormolu Live: https://github.com/tweag/ormolu/tree/master/ormolu-live (uses the web worker approach described below)
Install a Wasm-enabled GHC with support for the Wasm JSFFI from ghc-wasm-meta (GHC 9.10 or newer).
Assuming you built your application as an app :: JSM ()
:
import Language.Javascript.JSaddle.Wasm qualified as JSaddle.Wasm
foreign export javascript "hs_start" main :: IO ()
main :: IO ()
main = JSaddle.Wasm.run app
Build the Wasm binary with the following GHC options:
ghc-options: -no-hs-main -optl-mexec-model=reactor "-optl-Wl,--export=hs_start"
Now, run the post-linker script as described in the GHC User's Guide; we will call the resulting JavaScript file ghc_wasm_jsffi.js
.
Then, following the GHC User's Guide, you can run the Wasm binary in the browser via e.g. browser_wasi_shim:
import { WASI, OpenFile, File, ConsoleStdout } from "@bjorn3/browser_wasi_shim";
import ghc_wasm_jsffi from "./ghc_wasm_jsffi.js";
const fds = [
new OpenFile(new File([])), // stdin
ConsoleStdout.lineBuffered((msg) => console.log(`[WASI stdout] ${msg}`)),
ConsoleStdout.lineBuffered((msg) => console.warn(`[WASI stderr] ${msg}`)),
];
const options = { debug: false };
const wasi = new WASI([], [], fds, options);
const instance_exports = {};
const { instance } = await WebAssembly.instantiateStreaming(fetch("app.wasm"), {
wasi_snapshot_preview1: wasi.wasiImport,
ghc_wasm_jsffi: ghc_wasm_jsffi(instance_exports),
});
Object.assign(instance_exports, instance.exports);
wasi.initialize(instance);
await instance.exports.hs_start();
It is also possible to run the Wasm worker in a different execution environment (e.g. a web worker) than the JSaddle JavaScript code that dispatches the JSaddle command messages.
An advantage of this approach is that computationally expensive operations in Wasm do not block the UI thread. A disadvantage is that there is some overhead for copying the data back and forth, and everything relying on synchronous callbacks (e.g. stopPropagation
/preventDefault
) definitely no longer works.
-
Instead of the
run
function above, you need to userunWorker
(again assumingapp :: JSM ()
):import Language.Javascript.JSaddle.Wasm qualified as JSaddle.Wasm foreign export javascript "hs_runWorker" runWorker :: JSVal -> IO () runWorker :: JSVal -> IO () runWorker = JSaddle.Wasm.runWorker app
The argument to
runWorker
here can be any message port in the sense of the Channel Messaging API. In particular, it must provide apostMessage
function and amessage
event.For example, in a web worker, you can initialize the Wasm module as above, and then run
await instance.exports.hs_runWorker(globalThis);
as
globalThis
(orself
) in a web worker is a message port. -
Additionally, you need to run the JSaddle command dispatching logic on the other end of the message port.
The necessary chunk of JavaScript is available as
jsaddleScript
both fromLanguage.Javascript.JSaddle.Wasm
from the main library, and also fromLanguage.Javascript.JSaddle.Wasm.JS
from thejs
public sublibrary, where the latter has the advantage to not depend on any JSFFI, so you can build a normal WASI command module or even a native executable while still depending on it.It provides a function
runJSaddle
taking a single argument, a message port.One way to invoke it is to save
jsaddleScript
to some file, include it via ascript
tag in your HTML file, and then runconst worker = new Worker("my-worker.js"); runJSaddle(worker);
- Take a closer look at synchronous callbacks. We have no special handling currently, but basic things like
stopPropagation
/preventDefault
already seem to work fine withrun
(but not withrunWorker
, as expected). - Testing (e.g. via Selenium).
- Add logging/stats.
- Performance/benchmarking (not clear that this is actually a bottleneck for most applications).
-
Optimize existing command-based implementation.
- Reuse buffers
- Use a serialization format more efficient than JSON.
-
Patch
jsaddle
to not go through commands, by using the Wasm JS FFI. -
Implement
ghcjs-dom
API directly via the Wasm JS FFI.This would involve creating a
ghcjs-dom-wasm
package by adapting the FFI import syntax fromghcjs-dom-jsffi
/ghcjs-dom-javascript
appropriately.Currently, the generic
ghcjs-dom-jsaddle
seems to work fine, so it seems sensible to wait with this until benchmarks or other concerns motivate this.
-
- WebGHC/jsaddle-wasm for the analogue for WebGHC instead of the GHC Wasm backend.