mirror of
https://github.com/alrayyes/wiki.git
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152 lines
4.8 KiB
TypeScript
152 lines
4.8 KiB
TypeScript
import esbuild from 'esbuild'
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import remarkParse from 'remark-parse'
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import remarkRehype from 'remark-rehype'
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import { Processor, unified } from "unified"
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import { Root as MDRoot } from 'remark-parse/lib'
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import { Root as HTMLRoot } from 'hast'
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import { ProcessedContent } from '../plugins/vfile'
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import { PerfTimer } from '../perf'
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import { read } from 'to-vfile'
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import { FilePath, QUARTZ, ServerSlug, slugifyFilePath } from '../path'
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import path from 'path'
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import os from 'os'
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import workerpool, { Promise as WorkerPromise } from 'workerpool'
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import { QuartzTransformerPluginInstance } from '../plugins/types'
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import { QuartzLogger } from '../log'
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import { trace } from '../trace'
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export type QuartzProcessor = Processor<MDRoot, HTMLRoot, void>
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export function createProcessor(transformers: QuartzTransformerPluginInstance[]): QuartzProcessor {
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// base Markdown -> MD AST
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let processor = unified().use(remarkParse)
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// MD AST -> MD AST transforms
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for (const plugin of transformers.filter(p => p.markdownPlugins)) {
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processor = processor.use(plugin.markdownPlugins!())
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}
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// MD AST -> HTML AST
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processor = processor.use(remarkRehype, { allowDangerousHtml: true })
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// HTML AST -> HTML AST transforms
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for (const plugin of transformers.filter(p => p.htmlPlugins)) {
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processor = processor.use(plugin.htmlPlugins!())
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}
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return processor
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}
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function* chunks<T>(arr: T[], n: number) {
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for (let i = 0; i < arr.length; i += n) {
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yield arr.slice(i, i + n)
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}
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}
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async function transpileWorkerScript() {
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// transpile worker script
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const cacheFile = "./.quartz-cache/transpiled-worker.mjs"
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const fp = "./quartz/worker.ts"
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return esbuild.build({
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entryPoints: [fp],
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outfile: path.join(QUARTZ, cacheFile),
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bundle: true,
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keepNames: true,
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platform: "node",
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format: "esm",
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packages: "external",
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plugins: [
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{
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name: 'css-and-scripts-as-text',
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setup(build) {
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build.onLoad({ filter: /\.scss$/ }, (_) => ({
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contents: '',
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loader: 'text'
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}))
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build.onLoad({ filter: /\.inline\.(ts|js)$/ }, (_) => ({
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contents: '',
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loader: 'text'
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}))
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}
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}
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]
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})
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}
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export function createFileParser(transformers: QuartzTransformerPluginInstance[], baseDir: string, fps: FilePath[], allSlugs: ServerSlug[], verbose: boolean) {
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return async (processor: QuartzProcessor) => {
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const res: ProcessedContent[] = []
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for (const fp of fps) {
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try {
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const file = await read(fp)
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// strip leading and trailing whitespace
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file.value = file.value.toString().trim()
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// Text -> Text transforms
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for (const plugin of transformers.filter(p => p.textTransform)) {
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file.value = plugin.textTransform!(file.value)
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}
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// base data properties that plugins may use
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file.data.slug = slugifyFilePath(path.relative(baseDir, file.path) as FilePath)
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file.data.allSlugs = allSlugs
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file.data.filePath = fp
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const ast = processor.parse(file)
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const newAst = await processor.run(ast, file)
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res.push([newAst, file])
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if (verbose) {
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console.log(`[process] ${fp} -> ${file.data.slug}`)
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}
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} catch (err) {
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trace(`\nFailed to process \`${fp}\``, err as Error)
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process.exit(1)
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}
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}
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return res
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}
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}
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export async function parseMarkdown(transformers: QuartzTransformerPluginInstance[], baseDir: string, fps: FilePath[], verbose: boolean): Promise<ProcessedContent[]> {
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const perf = new PerfTimer()
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const log = new QuartzLogger(verbose)
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const CHUNK_SIZE = 128
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let concurrency = fps.length < CHUNK_SIZE ? 1 : os.availableParallelism()
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// get all slugs ahead of time as each thread needs a copy
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const allSlugs = fps.map(fp => slugifyFilePath(path.relative(baseDir, path.resolve(fp)) as FilePath))
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let res: ProcessedContent[] = []
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log.start(`Parsing input files using ${concurrency} threads`)
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if (concurrency === 1) {
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const processor = createProcessor(transformers)
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const parse = createFileParser(transformers, baseDir, fps, allSlugs, verbose)
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res = await parse(processor)
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} else {
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await transpileWorkerScript()
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const pool = workerpool.pool(
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'./quartz/bootstrap-worker.mjs',
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{
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minWorkers: 'max',
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maxWorkers: concurrency,
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workerType: 'thread'
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}
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)
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const childPromises: WorkerPromise<ProcessedContent[]>[] = []
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for (const chunk of chunks(fps, CHUNK_SIZE)) {
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childPromises.push(pool.exec('parseFiles', [baseDir, chunk, allSlugs, verbose]))
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}
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const results: ProcessedContent[][] = await WorkerPromise.all(childPromises)
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res = results.flat()
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await pool.terminate()
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}
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log.success(`Parsed ${res.length} Markdown files in ${perf.timeSince()}`)
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return res
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}
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