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https://github.com/PaddlePaddle/FastDeploy.git
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[Other] Refactor js submodule (#415)
* Refactor js submodule * Remove change-log * Update ocr module * Update ocr-detection module * Update ocr-detection module * Remove change-log
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@@ -0,0 +1,160 @@
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import path from 'path'
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import fse from 'fs-extra'
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import { series } from "gulp"
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import { paths, log } from "./build_package/util"
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import rollupConfig from './rollup.config'
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import { rollup } from 'rollup'
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import {
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Extractor,
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ExtractorConfig,
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ExtractorResult,
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} from '@microsoft/api-extractor'
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/**
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* 这里是由于 'conventional-changelog' 未提供类型文件
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*/
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// eslint-disable-next-line @typescript-eslint/ban-ts-comment
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// @ts-ignore
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import conventionalChangelog from 'conventional-changelog'
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interface TaskFunc {
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// eslint-disable-next-line @typescript-eslint/ban-types
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(cb: Function): void
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}
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const CHANGE_TRACE = ['paddlejs-models/facedetect', 'paddle-js-models/facedetect', 'paddlejs-models', 'paddle-js-models', 'all']
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/**
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* 删除 lib 文件
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* @param cb
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* @returns {Promise<void>}
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*/
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const clearLibFile: TaskFunc = async (cb) => {
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fse.removeSync(paths.lib)
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log.progress('Deleted lib file')
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cb()
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}
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/**
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* rollup 打包
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* @param cb
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*/
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const buildByRollup: TaskFunc = async (cb) => {
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const inputOptions = {
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input: rollupConfig.input,
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external: rollupConfig.external,
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plugins: rollupConfig.plugins,
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}
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const outOptions = rollupConfig.output
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const bundle = await rollup(inputOptions)
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// 写入需要遍历输出配置
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if (Array.isArray(outOptions)) {
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for (const outOption of outOptions) {
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await bundle.write(outOption)
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}
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cb()
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log.progress('Rollup built successfully')
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}
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}
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/**
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* api-extractor 整理 .d.ts 文件
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* @param cb
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*/
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const apiExtractorGenerate: TaskFunc = async (cb) => {
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const apiExtractorJsonPath: string = path.join(__dirname, './api-extractor.json')
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// 加载并解析 api-extractor.json 文件
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const extractorConfig: ExtractorConfig = await ExtractorConfig.loadFileAndPrepare(apiExtractorJsonPath)
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// 判断是否存在 index.d.ts 文件,这里必须异步先访问一边,不然后面找不到会报错
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const isdtxExist: boolean = await fse.pathExists(extractorConfig.mainEntryPointFilePath)
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// 判断是否存在 etc 目录,api-extractor需要该目录存在
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const isEtcExist: boolean = await fse.pathExists('./etc')
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if (!isdtxExist) {
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log.error('API Extractor not find index.d.ts')
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return
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}
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if (!isEtcExist) {
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fse.mkdirSync('etc');
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log.progress('Create folder etc for API Extractor')
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}
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// 调用 API
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const extractorResult: ExtractorResult = await Extractor.invoke(extractorConfig, {
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localBuild: true,
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// 在输出中显示信息
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showVerboseMessages: true,
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})
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if (extractorResult.succeeded) {
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// 删除多余的 .d.ts 文件
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const libFiles: string[] = await fse.readdir(paths.lib)
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for (const file of libFiles) {
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if (file.endsWith('.d.ts') && !file.includes('index')) {
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await fse.remove(path.join(paths.lib, file))
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}
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}
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log.progress('API Extractor completed successfully')
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// api-extractor 会生成 temp 文件夹,完成后进行删除
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fse.ensureDirSync('temp')
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fse.removeSync('temp')
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cb()
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} else {
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log.error(`API Extractor completed with ${extractorResult.errorCount} errors`
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+ ` and ${extractorResult.warningCount} warnings`)
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}
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}
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/**
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* 完成
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* @param cb
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*/
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const complete: TaskFunc = (cb) => {
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log.progress('---- end ----')
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cb()
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}
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/**
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* 生成 CHANGELOG
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* @param cb
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*/
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export const changelog: TaskFunc = async (cb) => {
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const checkTrace = (chunk: string) => {
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for (const keyWord of CHANGE_TRACE) {
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if (chunk.includes(keyWord)) {
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return true
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}
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}
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return false
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}
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const changelogPath: string = path.join(paths.root, 'CHANGELOG.md')
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// 对命令 conventional-changelog -p angular -i CHANGELOG.md -w -r 0
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const changelogPipe = await conventionalChangelog({
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preset: 'angular',
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releaseCount: 0,
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})
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changelogPipe.setEncoding('utf8')
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const resultArray = ['# 更新日志\n\n']
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changelogPipe.on('data', (chunk) => {
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// 原来的 commits 路径是进入提交列表
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chunk = chunk.replace(/\/commits\//g, '/commit/')
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/**
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* title 或 指定跟踪 才会写入CHANGELOG
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*/
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for (const log of chunk.split("\n")) {
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if (log.includes('# ') || log.includes('### ') || checkTrace(log)) {
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resultArray.push(log+"\n\n")
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}
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}
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})
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changelogPipe.on('end', async () => {
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fse.createWriteStream(changelogPath).write(resultArray.join(''))
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cb()
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log.progress('CHANGELOG generation completed')
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})
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}
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exports.build = series(clearLibFile, buildByRollup, apiExtractorGenerate, complete)
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