Add http client releated api, and add chinese docs
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# Kotlin cloudflare worker
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纯Kotlin编写的库，可以在Cloudflare worker上运行Kotlin/JS
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# 快速开始
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## 配置
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> 项目依赖于Kotlin协程库, 请确保协程库版本号大于`1.10.2`
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```kotlin
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plugins {
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kotlin("multiplatform") version "2.2.21"
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}
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repositories {
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mavenCentral()
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maven("https://repo.maven.rtast.cn/releases")
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}
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```
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```kotlin
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// 最新版本请前往下方链接查看
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// https://next.pkg.rtast.cn/#/releases/cn/rtast/kotlin-cfworker/kotlin-cloudflare-worker/
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implementation("cn.rtast.kotlin-cfworker:kotlin-cloudflare-worker:1.0.2")
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```
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## Hello world程序
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```kotlin
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kotlin {
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js(IR) {
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nodejs {
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outputModuleName = "kotlin-cloudflare-worker"
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binaries.executable()
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}
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}
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}
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```
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> Minimal hello world app
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```kotlin
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/**
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* 不要修改这个函数的任何内容
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*/
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fun main() {
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@Suppress("unused_expression")
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val eventListener = EventListener { event ->
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val dyn = event.asDynamic()
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event.asDynamic().respondWith(handleRequest(dyn.request as Request))
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Unit
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}
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js("addEventListener('fetch', eventListener)")
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}
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/**
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* 这里是处理http请求的函数
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*/
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@JsExport
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fun handleRequest(request: Request): Promise<Response> = GlobalScope.promise {
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val server = WorkerApplication().apply {
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route("/") {
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respondText("Hello kotlin cloudflare worker")
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}
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}
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return@promise server.handle(request)
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}
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```
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> 在本地运行之前需要先安装wrangler
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在项目根目录创建一个名为`wrangler.toml`的文件，然后将下面的内容复制进去并修改为你自己的信息
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```toml
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name = "kotlin-cloudflare-worker" # 可以是任何名字
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account_id = "<your account id>"
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workers_dev = false
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preview_urls = false
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compatibility_date = "2022-08-11"
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main = "kotlin-cloudflare-worker.js" # 必须和`outputModuleName`一致
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```
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运行gradle任务编译出js `gradlew compileProductionExecutableKotlinJs`,
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将wrangler.toml复制到 `build/compileSync/js/main/productionExecutable/kotlin`,
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并且进入该目录下运行`wrangler dev`
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## 部署
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使用`wrangler deploy`来部署到cloudflare worker, 在此之前你需要先使用`wrangler login`来登录
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# 注意事项
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Cloudflare worker 使用V8引擎来驱动js脚本，线程模型为单线程，所有时间均有event loop(事件循环)驱动，在此之外的所有任务
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都会被drop, 所以不要使用协程库中的launch或任何可以凭空创建出一个挂起作用域的函数来调用suspend函数, 取而代之的是你需要从
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`handleRequest`方法中传播`CoroutineScope`(suspend), 就像下面这样
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```kotlin
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// 不要使用这种方法
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val scope = CoroutineScope(Dispatcher.DEFAULT)
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fun blockingFunction() {
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scope.launch {
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// 这里的代码永远不会被执行
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}
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}
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// 使用下面的代码来正确的调用suspend函数
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fun main() {
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@Suppress("unused_expression")
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val eventListener = EventListener { event ->
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val dyn = event.asDynamic()
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event.asDynamic().respondWith(handleRequest(dyn.request as Request))
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Unit
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}
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js("addEventListener('fetch', eventListener)")
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}
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@JsExport
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fun handleRequest(request: Request): Promise<Response> = GlobalScope.promise {
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return Promise.resolve(Response("Hello"))
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}
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```
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# Http 客户端
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不要使用ktor来作为http客户端, 因为cloudflare worker不是一个标准的nodejs环境， 你需要使用 fetch
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`cn.rtast.cfworker.client.fetch` 来发送http请求, 注意不是`window.fetch`， `window.fetch`是浏览器API
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# ByteArray 和 ByteBuffer 转换
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```kotlin
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import cn.rtast.cfworker.util.toByteArray
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import cn.rtast.cfworker.util.toArrayBuffer
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val bb: ByteBuffer = ...
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// 将ByteBuffer转换为ByteArray
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val ba: ByteArray = bb.toByteArray()
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// 将ByteArray转换为ByteBuffer
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val bb2: ByteBuffer = ba.toArrayBuffer()
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```
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# CPU时间限制
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cloudflare worker 免费版本限制处理每个请求的CPU时间为10ms(不包括IO等待时间), 如果你需要执行CPU密集型任务或需要更高的配额，
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请考虑升级到Workers paid或使用JS来减少标准库和协程库的加载时间.
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即使使用此库注册了超过15个api端点，并且都具备文件处理功能，每个请求占用的cpu时间平均值不超过10ms+-2ms,
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在冷启动时处理首次请求时间会大幅增加，最高可达50ms，但worker仍然可以处理并返回请求.
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> 上图反应了过去24小时每个请求的平均cpu时间(P50)
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# 已经使用此项目的实例
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https://repo.maven.rtast.cn
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@@ -2,6 +2,11 @@
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A library to running kotlin/js on cloudflare worker.
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<div style="display: block">
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<a href="README.md">English</a>
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<a href="README-zh.md">中文</a>
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</div>
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# Get started
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## Setup
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@@ -22,7 +27,7 @@ repositories {
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```kotlin
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// to get latest version of this lib, go to
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// https://next.pkg.rtast.cn/#/releases/cn/rtast/kotlin-cfworker/kotlin-cloudflare-worker/
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implementation("cn.rtast.kotlin-cfworker:kotlin-cloudflare-worker:1.0.1")
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implementation("cn.rtast.kotlin-cfworker:kotlin-cloudflare-worker:1.0.2")
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```
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## Run app
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@@ -148,6 +153,20 @@ val ba: ByteArray = bb.toByteArray()
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val bb2: ByteBuffer = ba.toArrayBuffer()
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```
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# CPU Time limit
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Cloudflare worker free tier have a limit of worker cpu limit (10ms, exclude IO waiting time), `kotlin cloudflare worker`
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depends on `kotlin-stdlib` and `kotlinx.coroutines`, which are quite heavy*, When performing CPU-bound task,
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please carefully consider whether to use JavaScript instead of Kotlin.
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But it works for my maven repository, I registered over 15 api endpoints.
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The avg cpu time for each endpoint does not exceed 10ms, but it may increase significantly during
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cold start (Over 50-200ms, but still responsible)
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> This image shows last 24 hours avg cpu time, see `P50`
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# Real instance
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https://repo.maven.rtast.cn
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+1
-1
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}
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group = "cn.rtast.kotlin-cfworker"
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version = "1.0.1"
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version = "1.0.2"
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repositories {
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mavenCentral()
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After Width: | Height: | Size: 50 KiB |
@@ -7,11 +7,29 @@
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package cn.rtast.cfworker.client
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import cn.rtast.cfworker.util.toByteArray
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import kotlinx.coroutines.await
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import org.w3c.dom.url.URL
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import org.w3c.fetch.Request
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import org.w3c.fetch.RequestInit
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import org.w3c.fetch.Response
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import kotlin.js.Promise
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/**
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* define fetch function externally
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*/
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public external fun fetch(
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input: String,
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init: RequestInit = definedExternally,
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): Promise<Response>
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/**
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* Get request raw body, http POST
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*/
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public suspend fun Request.rawBody(): ByteArray =
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this.arrayBuffer().await().toByteArray()
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/**
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* Get [URL] object
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*/
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public val Request.Url: URL get() = URL(this.url)
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