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chore: import upstream snapshot with attribution
2026-07-13 12:39:48 +08:00

53 lines
2.1 KiB
JavaScript

// semanticscholar paper: single-paper detail with citation graph + AI tldr.
//
// Hits `/paper/{ref}?fields=...`. Surfaces the two fields that are unique to
// Semantic Scholar versus the existing arxiv/openalex/dblp/pubmed adapters:
// `influentialCitationCount` (their gated "important" count) and `tldr.text`
// (LLM-generated one-line summary).
import { cli, Strategy } from '@jackwener/opencli/registry';
import { CommandExecutionError } from '@jackwener/opencli/errors';
import {
S2_GRAPH_BASE,
normalizePaperRow,
optionalNumber,
requirePaperRef,
s2Fetch,
tldrText,
} from './utils.js';
const FIELDS = [
'paperId', 'title', 'year', 'authors', 'citationCount',
'influentialCitationCount', 'referenceCount', 'tldr', 'externalIds', 'url',
].join(',');
cli({
site: 'semanticscholar',
name: 'paper',
access: 'read',
description: 'Semantic Scholar paper detail (citation graph + AI tldr) by paperId, DOI, or arXiv id',
domain: 'api.semanticscholar.org',
strategy: Strategy.PUBLIC,
browser: false,
args: [
{ name: 'id', positional: true, required: true, help: 'paperId (40-char hex), DOI, arXiv id, or prefixed id (e.g. "ARXIV:1706.03762", "PMID:12345")' },
],
columns: ['paperId', 'doi', 'title', 'year', 'firstAuthor', 'citationCount', 'influentialCitationCount', 'referenceCount', 'tldr', 'url'],
func: async (args) => {
const ref = requirePaperRef(args.id);
const url = `${S2_GRAPH_BASE}/paper/${encodeURIComponent(ref)}?fields=${FIELDS}`;
const body = await s2Fetch(url, 'semanticscholar paper');
if (!body || typeof body !== 'object') {
throw new CommandExecutionError('semanticscholar paper returned an unexpected payload shape');
}
const row = normalizePaperRow(body, 'paper');
return [{
...row,
influentialCitationCount: optionalNumber(body.influentialCitationCount, 'paper influentialCitationCount'),
referenceCount: optionalNumber(body.referenceCount, 'paper referenceCount'),
tldr: tldrText(body.tldr),
}];
},
});