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

92 lines
3.9 KiB
JavaScript

// hf models — list top Hugging Face models (by downloads / likes / trending).
import { cli, Strategy } from '@jackwener/opencli/registry';
import {
ArgumentError,
CommandExecutionError,
EmptyResultError,
} from '@jackwener/opencli/errors';
const SORT_OPTIONS = ['downloads', 'likes', 'trending', 'created_at', 'last_modified'];
const SORT_ALIAS = { lastmodified: 'last_modified', createdat: 'created_at' };
cli({
site: 'hf',
name: 'models',
access: 'read',
description: 'Top Hugging Face models (downloads / likes / trending / freshness).',
domain: 'huggingface.co',
strategy: Strategy.PUBLIC,
browser: false,
args: [
{ name: 'sort', type: 'string', default: 'downloads', help: `Sort key: ${SORT_OPTIONS.join(', ')}` },
{ name: 'search', type: 'string', required: false, help: 'Optional name/owner substring filter (e.g. "llama", "mistralai/")' },
{ name: 'pipeline', type: 'string', required: false, help: 'Filter by pipeline tag (e.g. text-generation, image-classification)' },
{ name: 'limit', type: 'int', default: 20, help: 'Max models (max 100; one API page).' },
],
columns: ['rank', 'id', 'author', 'pipelineTag', 'downloads', 'likes', 'tags', 'lastModified', 'url'],
func: async (args) => {
const sortRaw = String(args.sort ?? 'downloads').toLowerCase();
const sort = SORT_ALIAS[sortRaw] ?? sortRaw;
if (!SORT_OPTIONS.includes(sort)) {
throw new ArgumentError(`hf models sort must be one of ${SORT_OPTIONS.join(', ')}`);
}
const limit = Number(args.limit ?? 20);
if (!Number.isInteger(limit) || limit <= 0) {
throw new ArgumentError('hf models limit must be a positive integer');
}
if (limit > 100) {
throw new ArgumentError('hf models limit must be <= 100');
}
const url = new URL('https://huggingface.co/api/models');
url.searchParams.set('sort', sort);
url.searchParams.set('direction', '-1');
url.searchParams.set('limit', String(limit));
url.searchParams.set('full', 'true');
if (args.search) url.searchParams.set('search', String(args.search));
if (args.pipeline) url.searchParams.set('pipeline_tag', String(args.pipeline));
let resp;
try {
resp = await fetch(url, {
headers: {
'Accept': 'application/json',
'User-Agent': 'opencli/1.0 (+https://github.com/jackwener/opencli)',
},
});
} catch (error) {
throw new CommandExecutionError(`hf models request failed: ${error?.message || error}`);
}
if (!resp.ok) {
throw new CommandExecutionError(`hf models failed: HTTP ${resp.status}`);
}
let data;
try {
data = await resp.json();
} catch (error) {
throw new CommandExecutionError(`hf models returned malformed JSON: ${error?.message || error}`);
}
const list = Array.isArray(data) ? data : [];
if (list.length === 0) {
throw new EmptyResultError('hf models', 'No matching models on huggingface.co.');
}
return list.slice(0, limit).map((m, i) => {
const id = m.id || m.modelId || '';
const slashIdx = id.indexOf('/');
const author = slashIdx > 0 ? id.slice(0, slashIdx) : '';
const tags = Array.isArray(m.tags) ? m.tags.filter(t => !t.startsWith('license:')).slice(0, 10).join(', ') : '';
return {
rank: i + 1,
id,
author,
pipelineTag: m.pipeline_tag || m.pipelineTag || '',
downloads: m.downloads ?? 0,
likes: m.likes ?? 0,
tags,
lastModified: m.lastModified ? String(m.lastModified).slice(0, 10) : '',
url: id ? `https://huggingface.co/${id}` : '',
};
});
},
});