azure-ai-translation-ts
microsoft/skills
使用适用于 TypeScript 的 Azure 翻译 SDK 进行文本翻译、脚本间转写、语言检测以及批量文档翻译。
...展开全部Azure TypeScript 翻译 SDK
使用 REST 风格客户端进行文本和文档翻译。
安装
# 文本翻译
npm install @azure-rest/ai-translation-text @azure/identity
# 文档翻译
npm install @azure-rest/ai-translation-document @azure/identity
环境变量
TRANSLATOR_ENDPOINT=https://api.cognitive.microsofttranslator.com
TRANSLATOR_SUBSCRIPTION_KEY=<your-api-key>
TRANSLATOR_REGION=<your-region> # 例如:westus, eastus
AZURE_TOKEN_CREDENTIALS=prod # 仅在生产环境中使用 DefaultAzureCredential 时需要
</your-region></your-api-key>文本翻译客户端
身份验证
import TextTranslationClient, { TranslatorCredential } from "@azure-rest/ai-translation-text";
// API 密钥 + 区域
const credential: TranslatorCredential = {
key: process.env.TRANSLATOR_SUBSCRIPTION_KEY!,
region: process.env.TRANSLATOR_REGION!,
};
const client = TextTranslationClient(process.env.TRANSLATOR_ENDPOINT!, credential);
// 或者仅使用凭据(使用全局端点)
const client2 = TextTranslationClient(credential);
翻译文本
import TextTranslationClient, { isUnexpected } from "@azure-rest/ai-translation-text";
const response = await client.path("/translate").post({
body: {
inputs: [
{
text: "Hello, how are you?",
language: "en", // 源语言(可选,自动检测)
targets: [
{ language: "es" },
{ language: "fr" },
],
},
],
},
});
if (isUnexpected(response)) {
throw response.body.error;
}
for (const result of response.body.value) {
for (const translation of result.translations) {
console.log(`${translation.language}: ${translation.text}`);
}
}
带选项的翻译
const response = await client.path("/translate").post({
body: {
inputs: [
{
text: "Hello world",
language: "en",
textType: "Plain", // 或 "Html"
targets: [
{
language: "de",
profanityAction: "NoAction", // "Marked" | "Deleted"
tone: "formal", // LLM 特定
},
],
},
],
},
});
获取支持的语言
const response = await client.path("/languages").get();
if (isUnexpected(response)) {
throw response.body.error;
}
// 翻译语言
for (const [code, lang] of Object.entries(response.body.translation || {})) {
console.log(`${code}: ${lang.name} (${lang.nativeName})`);
}
转写
const response = await client.path("/transliterate").post({
body: { inputs: [{ text: "这是个测试" }] },
queryParameters: {
language: "zh-Hans",
fromScript: "Hans",
toScript: "Latn",
},
});
if (!isUnexpected(response)) {
for (const t of response.body.value) {
console.log(`${t.script}: ${t.text}`); // Latn: zhè shì gè cè shì
}
}
检测语言
const response = await client.path("/detect").post({
body: { inputs: [{ text: "Bonjour le monde" }] },
});
if (!isUnexpected(response)) {
for (const result of response.body.value) {
console.log(`Language: ${result.language}, Score: ${result.score}`);
}
}
文档翻译客户端
身份验证
import DocumentTranslationClient from "@azure-rest/ai-translation-document";
import { DefaultAzureCredential, ManagedIdentityCredential } from "@azure/identity";
const endpoint = "https://<translator>.cognitiveservices.azure.com";
// 本地开发:DefaultAzureCredential。生产环境:设置 AZURE_TOKEN_CREDENTIALS=prod 或 AZURE_TOKEN_CREDENTIALS=<specific_credential>
const credential = new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]});
// 或者在生产环境中直接使用特定凭据:
// 请参阅 https://learn.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest#credential-classes
// const credential = new ManagedIdentityCredential();
// TokenCredential
const client = DocumentTranslationClient(endpoint, credential);
// API 密钥
const client2 = DocumentTranslationClient(endpoint, { key: "<api-key>" });
</api-key></specific_credential></translator>单个文档翻译
import DocumentTranslationClient from "@azure-rest/ai-translation-document";
import { writeFile } from "node:fs/promises";
const response = await client.path("/document:translate").post({
queryParameters: {
targetLanguage: "es",
sourceLanguage: "en", // 可选
},
contentType: "multipart/form-data",
body: [
{
name: "document",
body: "Hello, this is a test document.",
filename: "test.txt",
contentType: "text/plain",
},
],
}).asNodeStream();
if (response.status === "200") {
await writeFile("translated.txt", response.body);
}
批量文档翻译
import { ContainerSASPermissions, BlobServiceClient } from "@azure/storage-blob";
// 生成源容器和目标容器的 SAS URL
const sourceSas = await sourceContainer.generateSasUrl({
permissions: ContainerSASPermissions.parse("rl"),
expiresOn: new Date(Date.now() + 24 * 60 * 60 * 1000),
});
const targetSas = await targetContainer.generateSasUrl({
permissions: ContainerSASPermissions.parse("rwl"),
expiresOn: new Date(Date.now() + 24 * 60 * 60 * 1000),
});
// 启动批量翻译
const response = await client.path("/document/batches").post({
body: {
inputs: [
{
source: { sourceUrl: sourceSas },
targets: [
{ targetUrl: targetSas, language: "fr" },
],
},
],
},
});
// 从标头获取操作 ID
const operationId = new URL(response.headers["operation-location"])
.pathname.split("/").pop();
获取翻译状态
import { isUnexpected, paginate } from "@azure-rest/ai-translation-document";
const statusResponse = await client.path("/document/batches/{id}", operationId).get();
if (!isUnexpected(statusResponse)) {
const status = statusResponse.body;
console.log(`Status: ${status.status}`);
console.log(`Total: ${status.summary.total}`);
console.log(`Success: ${status.summary.success}`);
}
// 使用分页列出文档
const docsResponse = await client.path("/document/batches/{id}/documents", operationId).get();
const documents = paginate(client, docsResponse);
for await (const doc of documents) {
console.log(`${doc.id}: ${doc.status}`);
}
获取支持的格式
const response = await client.path("/document/formats").get();
if (!isUnexpected(response)) {
for (const format of response.body.value) {
console.log(`${format.format}: ${format.fileExtensions.join(", ")}`);
}
}
关键类型
// 文本翻译
import type {
TranslatorCredential,
TranslatorTokenCredential,
} from "@azure-rest/ai-translation-text";
// 文档翻译
import type {
DocumentTranslateParameters,
StartTranslationDetails,
TranslationStatus,
} from "@azure-rest/ai-translation-document";
最佳实践
- 自动检测源语言 - 省略
language参数以自动检测 - 批量请求 - 在一次调用中翻译多个文本以提高效率
- 使用 SAS 令牌 - 对于文档翻译,使用时间有限的 SAS URL
- 处理错误 - 在访问正文之前始终检查
isUnexpected(response) - 区域端点 - 使用区域端点以降低延迟
---
name: azure-ai-translation-ts
description: Translate text, transliterate between scripts, detect languages, and perform batch document translation using Azure Translation SDKs for TypeScript.
license: MIT
---
# Azure Translation SDKs for TypeScript
Text and document translation with REST-style clients.
## Installation
```bash
# Text translation
npm install @azure-rest/ai-translation-text @azure/identity
# Document translation
npm install @azure-rest/ai-translation-document @azure/identity
```
## Environment Variables
```bash
TRANSLATOR_ENDPOINT=https://api.cognitive.microsofttranslator.com
TRANSLATOR_SUBSCRIPTION_KEY=<your-api-key>
TRANSLATOR_REGION=<your-region> # e.g., westus, eastus
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
```
## Text Translation Client
### Authentication
```typescript
import TextTranslationClient, { TranslatorCredential } from "@azure-rest/ai-translation-text";
// API Key + Region
const credential: TranslatorCredential = {
key: process.env.TRANSLATOR_SUBSCRIPTION_KEY!,
region: process.env.TRANSLATOR_REGION!,
};
const client = TextTranslationClient(process.env.TRANSLATOR_ENDPOINT!, credential);
// Or just credential (uses global endpoint)
const client2 = TextTranslationClient(credential);
```
### Translate Text
```typescript
import TextTranslationClient, { isUnexpected } from "@azure-rest/ai-translation-text";
const response = await client.path("/translate").post({
body: {
inputs: [
{
text: "Hello, how are you?",
language: "en", // source (optional, auto-detect)
targets: [
{ language: "es" },
{ language: "fr" },
],
},
],
},
});
if (isUnexpected(response)) {
throw response.body.error;
}
for (const result of response.body.value) {
for (const translation of result.translations) {
console.log(`${translation.language}: ${translation.text}`);
}
}
```
### Translate with Options
```typescript
const response = await client.path("/translate").post({
body: {
inputs: [
{
text: "Hello world",
language: "en",
textType: "Plain", // or "Html"
targets: [
{
language: "de",
profanityAction: "NoAction", // "Marked" | "Deleted"
tone: "formal", // LLM-specific
},
],
},
],
},
});
```
### Get Supported Languages
```typescript
const response = await client.path("/languages").get();
if (isUnexpected(response)) {
throw response.body.error;
}
// Translation languages
for (const [code, lang] of Object.entries(response.body.translation || {})) {
console.log(`${code}: ${lang.name} (${lang.nativeName})`);
}
```
### Transliterate
```typescript
const response = await client.path("/transliterate").post({
body: { inputs: [{ text: "这是个测试" }] },
queryParameters: {
language: "zh-Hans",
fromScript: "Hans",
toScript: "Latn",
},
});
if (!isUnexpected(response)) {
for (const t of response.body.value) {
console.log(`${t.script}: ${t.text}`); // Latn: zhè shì gè cè shì
}
}
```
### Detect Language
```typescript
const response = await client.path("/detect").post({
body: { inputs: [{ text: "Bonjour le monde" }] },
});
if (!isUnexpected(response)) {
for (const result of response.body.value) {
console.log(`Language: ${result.language}, Score: ${result.score}`);
}
}
```
## Document Translation Client
### Authentication
```typescript
import DocumentTranslationClient from "@azure-rest/ai-translation-document";
import { DefaultAzureCredential, ManagedIdentityCredential } from "@azure/identity";
const endpoint = "https://<translator>.cognitiveservices.azure.com";
// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
const credential = new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]});
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest#credential-classes
// const credential = new ManagedIdentityCredential();
// TokenCredential
const client = DocumentTranslationClient(endpoint, credential);
// API Key
const client2 = DocumentTranslationClient(endpoint, { key: "<api-key>" });
```
### Single Document Translation
```typescript
import DocumentTranslationClient from "@azure-rest/ai-translation-document";
import { writeFile } from "node:fs/promises";
const response = await client.path("/document:translate").post({
queryParameters: {
targetLanguage: "es",
sourceLanguage: "en", // optional
},
contentType: "multipart/form-data",
body: [
{
name: "document",
body: "Hello, this is a test document.",
filename: "test.txt",
contentType: "text/plain",
},
],
}).asNodeStream();
if (response.status === "200") {
await writeFile("translated.txt", response.body);
}
```
### Batch Document Translation
```typescript
import { ContainerSASPermissions, BlobServiceClient } from "@azure/storage-blob";
// Generate SAS URLs for source and target containers
const sourceSas = await sourceContainer.generateSasUrl({
permissions: ContainerSASPermissions.parse("rl"),
expiresOn: new Date(Date.now() + 24 * 60 * 60 * 1000),
});
const targetSas = await targetContainer.generateSasUrl({
permissions: ContainerSASPermissions.parse("rwl"),
expiresOn: new Date(Date.now() + 24 * 60 * 60 * 1000),
});
// Start batch translation
const response = await client.path("/document/batches").post({
body: {
inputs: [
{
source: { sourceUrl: sourceSas },
targets: [
{ targetUrl: targetSas, language: "fr" },
],
},
],
},
});
// Get operation ID from header
const operationId = new URL(response.headers["operation-location"])
.pathname.split("/").pop();
```
### Get Translation Status
```typescript
import { isUnexpected, paginate } from "@azure-rest/ai-translation-document";
const statusResponse = await client.path("/document/batches/{id}", operationId).get();
if (!isUnexpected(statusResponse)) {
const status = statusResponse.body;
console.log(`Status: ${status.status}`);
console.log(`Total: ${status.summary.total}`);
console.log(`Success: ${status.summary.success}`);
}
// List documents with pagination
const docsResponse = await client.path("/document/batches/{id}/documents", operationId).get();
const documents = paginate(client, docsResponse);
for await (const doc of documents) {
console.log(`${doc.id}: ${doc.status}`);
}
```
### Get Supported Formats
```typescript
const response = await client.path("/document/formats").get();
if (!isUnexpected(response)) {
for (const format of response.body.value) {
console.log(`${format.format}: ${format.fileExtensions.join(", ")}`);
}
}
```
## Key Types
```typescript
// Text Translation
import type {
TranslatorCredential,
TranslatorTokenCredential,
} from "@azure-rest/ai-translation-text";
// Document Translation
import type {
DocumentTranslateParameters,
StartTranslationDetails,
TranslationStatus,
} from "@azure-rest/ai-translation-document";
```
## Best Practices
1. **Auto-detect source** - Omit `language` parameter to auto-detect
2. **Batch requests** - Translate multiple texts in one call for efficiency
3. **Use SAS tokens** - For document translation, use time-limited SAS URLs
4. **Handle errors** - Always check `isUnexpected(response)` before accessing body
5. **Regional endpoints** - Use regional endpoints for lower latency
所有文件
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