64 lines
2.0 KiB
TypeScript
64 lines
2.0 KiB
TypeScript
import { callZhipuAPI } from "@/utils";
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import { NextRequest, NextResponse } from "next/server";
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async function getTextinfo(text: string) {
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console.log(`get textinfo of ${text}`);
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const messages = [
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{
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role: 'user', content: `
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请推断以下文本的语言、locale，生成宽式国际音标（IPA），以JSON格式返回
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[${text}]
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结果如：
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{
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"text": "你好。",
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"lang": "mandarin",
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"ipa": "[ni˨˩˦ xɑʊ˨˩˦]",
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"locale": "zh-CN"
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}
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注意：
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直接返回json文本，
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ipa一定要加[]，
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lang的值是小写字母的英文的语言名称，
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locale如果可能有多个，选取最可能的一个，其中使用符号"-"
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`
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}];
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try {
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const response = await callZhipuAPI(messages);
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let to_parse = response.choices[0].message.content.trim() as string;
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if (to_parse.startsWith('`')) to_parse = to_parse.slice(7, to_parse.length - 3);
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if (to_parse.length === 0) throw Error('ai啥也每说');
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return JSON.parse(to_parse);
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} catch (error) {
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console.error(error);
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return null;
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}
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}
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export async function GET(request: NextRequest) {
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try {
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const searchParams = request.nextUrl.searchParams;
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const text = searchParams.get('text');
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if (!text) {
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return NextResponse.json(
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{ error: "查询参数错误", message: "text参数是必需的" },
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{ status: 400 }
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);
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}
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const textInfo = await getTextinfo(text);
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if (!textInfo) {
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return NextResponse.json(
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{ error: "服务暂时不可用", message: "LLM API 请求失败" },
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{ status: 503 }
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);
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}
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return NextResponse.json(textInfo, { status: 200 });
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} catch (error) {
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console.error('API 错误:', error);
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return NextResponse.json(
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{ error: "服务器内部错误", message: "请稍后重试" },
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{ status: 500 }
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);
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}
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} |