Files
neuron/packages/session-ui/src/components/markdown-shiki.worker.ts
T
2026-06-24 14:56:09 +00:00

105 lines
3.3 KiB
TypeScript

/// <reference lib="webworker" />
import { ShikiStreamTokenizer } from "@shikijs/stream"
import {
bundledLanguages,
createHighlighter,
getTokenStyleObject,
stringifyTokenStyle,
type BundledLanguage,
type ThemedToken,
} from "shiki"
import type { MarkdownToken, MarkdownWorkerRequest, MarkdownWorkerResponse } from "./markdown-worker-protocol"
import { createLatestWorkerQueue } from "./markdown-worker-queue"
type Stream = {
language: string
source: string
tokenizer: ShikiStreamTokenizer
}
const streams = new Map<string, Stream>()
let highlighter: ReturnType<typeof createHighlighter> | undefined
const queue = createLatestWorkerQueue<Extract<MarkdownWorkerRequest, { type: "highlight" }>>({
run: highlight,
supersede: (request) => post({ type: "superseded", id: request.id, key: request.key }),
dispose: (key) => void streams.delete(key),
})
self.onmessage = (event: MessageEvent<MarkdownWorkerRequest>) => {
if (event.data.type === "init") {
highlighter ??= createHighlighter({ themes: [event.data.theme], langs: [] })
return
}
if (event.data.type === "dispose") {
queue.dispose(event.data.key)
return
}
queue.highlight(event.data)
}
async function highlight(request: Extract<MarkdownWorkerRequest, { type: "highlight" }>) {
try {
const instance = await highlighter
if (!instance) throw new Error("Shiki worker is not initialized")
const language = request.language in bundledLanguages ? request.language : "text"
if (!instance.getLoadedLanguages().includes(language))
await instance.loadLanguage(bundledLanguages[language as BundledLanguage])
if (request.complete) {
const result = instance.codeToTokens(request.text, { lang: language as BundledLanguage, theme: "OpenCode" })
streams.delete(request.key)
post({
type: "highlight",
id: request.id,
key: request.key,
reset: true,
stable: result.tokens
.flatMap((line, index) =>
index === result.tokens.length - 1 ? line : [...line, { content: "\n", offset: 0 }],
)
.map(token),
unstable: [],
})
return
}
const previous = streams.get(request.key)
const reset = !previous || previous.language !== language || !request.text.startsWith(previous.source)
const stream = reset
? {
language,
source: "",
tokenizer: new ShikiStreamTokenizer({ highlighter: instance, lang: language, theme: "OpenCode" }),
}
: previous
const result = await stream.tokenizer.enqueue(request.text.slice(stream.source.length))
stream.source = request.text
streams.set(request.key, stream)
post({
type: "highlight",
id: request.id,
key: request.key,
reset,
stable: result.stable.filter((token) => token.content.length > 0).map(token),
unstable: result.unstable.filter((token) => token.content.length > 0).map(token),
})
} catch (error) {
post({
type: "error",
id: request.id,
key: request.key,
message: error instanceof Error ? error.message : String(error),
})
}
}
function post(response: MarkdownWorkerResponse) {
self.postMessage(response)
}
function token(value: ThemedToken): MarkdownToken {
return [value.content, stringifyTokenStyle(value.htmlStyle ?? getTokenStyleObject(value))]
}