Azure AI 翻译 TypeScript SDK

# 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

TRANSLATOR_ENDPOINT=https://api.cognitive.microsofttranslator.com
TRANSLATOR_SUBSCRIPTION_KEY=<your-api-key>
TRANSLATOR_REGION=<your-region>  # 例如 westus, eastus

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);
// 或仅使用凭据（使用全局端点）
const client2 = TextTranslationClient(credential);

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，支持自动检测）
        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});
  }
}

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 特定选项
          },
        ],
      },
    ],
  },
});

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}));
}

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
  }
}

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});
  }
}

import DocumentTranslationClient from "@azure-rest/ai-translation-document";
import { DefaultAzureCredential } from "@azure/identity";

const endpoint = "https://<translator>.cognitiveservices.azure.com";
// TokenCredential
const client = DocumentTranslationClient(endpoint, new DefaultAzureCredential());
// API Key
const client2 = DocumentTranslationClient(endpoint, { key: "<api-key>" });

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);
}

import { ContainerSASPermissions, BlobServiceClient } from "@azure/storage-blob";
// 为源容器和目标容器生成 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),
});
// 开始批量翻译
const response = await client.path("/document/batches").post({
  body: {
    inputs: [
      {
        source: { sourceUrl: sourceSas },
        targets: [
          { targetUrl: targetSas, language: "fr" },
        ],
      },
    ],
  },
});
// 从响应头获取操作 ID
const operationId = new URL(response.headers["operation-location"])
  .pathname.split("/").pop();

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(状态: ${status.status});
  console.log(总数: ${status.summary.total});
  console.log(成功: ${status.summary.success});
}
// 分页列出文档
const docsResponse = await client.path("/document/batches/{id}/documents", operationId).get();
const documents = paginate(client, docsResponse);
for await (const doc of documents) {
  console.log(${doc.id}: ${doc.status});
}

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(", ")});
  }
}

// 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";