65 lines
1.7 KiB
TypeScript
65 lines
1.7 KiB
TypeScript
import axios from "axios";
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import { getRandomOffset } from "@/utils/others/quillutils";
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interface Author {
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authorId: string;
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name: string;
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}
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interface Paper {
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paperId: string;
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title: string;
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abstract: string;
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year: number;
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authors: Author[];
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venue: string;
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url: string;
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}
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async function getSemanticPapers(query: string, year: string, limit = 2) {
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try {
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const maxOffset = 30 - limit; // 假设总记录数为 100
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const offset = getRandomOffset(maxOffset);
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const url = `https://api.semanticscholar.org/graph/v1/paper/search`;
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const response = await axios.get(url, {
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headers: {
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"x-api-key": process.env.NEXT_PUBLIC_SEMANTIC_API_KEY,
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},
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params: {
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query: query,
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offset: offset,
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limit: 2,
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year: year,
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fields: "title,year,authors.name,abstract,venue,url,journal",
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},
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});
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// 提取并处理论文数据
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const papers = response.data.data.map((paper: Paper) => {
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// 提取每篇论文的作者名字
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const authorNames = paper.authors.map((author) => author.name);
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return {
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...paper,
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authors: authorNames, // 替换原有的authors字段为仅包含名字的数组
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};
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});
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return papers;
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} catch (error: any) {
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// console.error("Error fetching data from Semantic Scholar API:", error);
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throw new Error(
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`Error fetching data from Semantic Scholar API:${JSON.stringify(
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error.response,
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null,
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2
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)}`
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);
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// return null;
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}
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}
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// 调用函数示例
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// fetchSemanticPapers("covid", 50, 2, "2015-2023").then((data) => {
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// console.log(data);
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// });
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export default getSemanticPapers;
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