90 lines
2.9 KiB
JavaScript
90 lines
2.9 KiB
JavaScript
import { NextResponse } from 'next/server';
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import { getDatasetsById, updateDataset } from '@/lib/db/datasets';
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import { getQuestionById } from '@/lib/db/questions';
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import { getChunkById } from '@/lib/db/chunks';
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import LLMClient from '@/lib/llm/core/index';
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import { getNewAnswerPrompt } from '@/lib/llm/prompts/newAnswer';
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import { extractJsonFromLLMOutput } from '@/lib/llm/common/util';
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// 优化数据集答案
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export async function POST(request, { params }) {
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try {
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const { projectId } = params;
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// 验证项目ID
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if (!projectId) {
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return NextResponse.json({ error: 'Project ID cannot be empty' }, { status: 400 });
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}
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// 获取请求体
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const { datasetId, model, advice, language } = await request.json();
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if (!datasetId) {
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return NextResponse.json({ error: 'Dataset ID cannot be empty' }, { status: 400 });
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}
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if (!model) {
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return NextResponse.json({ error: 'Model cannot be empty' }, { status: 400 });
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}
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if (!advice) {
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return NextResponse.json({ error: 'Please provide optimization suggestions' }, { status: 400 });
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}
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// 获取数据集内容
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const dataset = await getDatasetsById(datasetId);
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if (!dataset) {
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return NextResponse.json({ error: 'Dataset does not exist' }, { status: 404 });
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}
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// 创建LLM客户端
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const llmClient = new LLMClient(model);
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const { question, answer, cot, chunkContent: storedChunkContent, questionId } = dataset;
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let chunkContent = storedChunkContent || '';
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if (!chunkContent && questionId) {
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try {
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const questionRecord = await getQuestionById(questionId);
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if (questionRecord?.chunkId) {
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const chunkRecord = await getChunkById(questionRecord.chunkId);
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chunkContent = chunkRecord?.content || '';
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}
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} catch (error) {
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console.error('Failed to load chunk content by questionId:', error);
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}
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}
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// 生成优化后的答案和思维链
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const prompt = await getNewAnswerPrompt(language, { question, answer, cot, advice, chunkContent }, projectId);
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const response = await llmClient.getResponse(prompt);
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// 从LLM输出中提取JSON格式的优化结果
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const optimizedResult = extractJsonFromLLMOutput(response);
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if (!optimizedResult || !optimizedResult.answer) {
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return NextResponse.json({ error: 'Failed to optimize answer, please try again' }, { status: 500 });
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}
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// 更新数据集
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const updatedDataset = {
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...dataset,
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answer: optimizedResult.answer,
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cot: cot ? optimizedResult.cot || cot : '' // 如果没有提供思考过程，则不更新
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};
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await updateDataset(updatedDataset);
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// 返回优化后的数据集
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return NextResponse.json({
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success: true,
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dataset: updatedDataset
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});
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} catch (error) {
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console.error('Failed to optimize answer:', String(error));
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return NextResponse.json({ error: error.message || 'Failed to optimize answer' }, { status: 500 });
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}
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}
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