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