8f09ed1ef6
Add pgvector embeddings on cards, server-side cohere/embed-v4.0 via AI Gateway, kNN identify route, and L0→L1→L2 client orchestration with empty-index fast escalate and id-cursor backfill job. Co-authored-by: Cursor <cursoragent@cursor.com>
40 lines
1.1 KiB
JavaScript
40 lines
1.1 KiB
JavaScript
import { describe, expect, it } from 'vitest';
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import { resolveVisualCandidates } from '../../lib/card-visual-match.js';
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describe('resolveVisualCandidates', () => {
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const baseCard = {
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id: 1,
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name: 'Lightning Bolt',
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set_name: 'Alpha',
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set_code: 'lea',
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card_number: '161',
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game: 'mtg',
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rarity: 'common',
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image_url: 'https://example.com/bolt.jpg',
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card_type: 'Instant',
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mana_cost: '{R}',
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power: null,
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};
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it('escalates when no candidates remain', () => {
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expect(resolveVisualCandidates([]).type).toBe('escalate');
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});
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it('auto-matches a clear visual winner', () => {
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const result = resolveVisualCandidates([
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{ ...baseCard, sim: 0.9 },
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{ ...baseCard, id: 2, sim: 0.7 },
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]);
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expect(result.type).toBe('matched');
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expect(result.card.id).toBe(1);
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});
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it('opens disambiguation when top matches are close', () => {
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const result = resolveVisualCandidates([
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{ ...baseCard, sim: 0.8 },
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{ ...baseCard, id: 2, set_name: 'Beta', sim: 0.77 },
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]);
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expect(result.type).toBe('disambiguation');
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expect(result.matches).toHaveLength(2);
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});
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});
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