Three additive ergonomics from the API-simplification audit (no behavior change to existing call sites): - AddParams.upsert: create-or-update in one call. With a custom id, an existing entity is MERGED via the update path (merges metadata, re-embeds changed data, bumps _rev, PRESERVES createdAt) instead of the destructive full overwrite a plain add() does. Mutually exclusive with ifAbsent (throws if both set); ignored when no id is supplied. Wired into add(), addMany (per-item flag propagation), and the transact add op (routes to planTxUpdate). Kills the get()-then-add() round-trip for idempotent writes. - FindParams.includeVectors: mirror of GetOptions.includeVectors — find() returns stored vectors when set; default stays empty (the perf contract is preserved). Honored on both the query and metadata-only where paths, and in db.find(). - removeMany adaptive chunking: replaced the hardcoded chunkSize=10 with params.chunkSize ?? storageConfig.maxBatchSize, matching addMany/relateMany — one storage-adaptive batch policy across all *Many methods (no thrash on high-latency backends). Tests: tests/unit/brainy/upsert.test.ts (insert/merge/createdAt-preserved/ re-embed/ifAbsent-conflict/no-id/addMany/transact), find-include-vectors.test.ts (true/default/where-path), batch-operations.test.ts (removeMany >10 items).
94 lines
3 KiB
TypeScript
94 lines
3 KiB
TypeScript
/**
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* Unit tests for FindParams.includeVectors — opt-in vector hydration on find().
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*
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* Verifies that find({ includeVectors: true }) returns each result's stored
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* embedding under entity.vector (matching get({ includeVectors: true })), that
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* the default keeps the perf contract of an empty vector, and that the
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* metadata-only find({ where }) path honors the flag too.
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*/
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import { describe, it, expect, beforeEach, afterEach } from 'vitest'
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import { Brainy } from '../../../src/brainy'
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import { createTestConfig } from '../../helpers/test-factory'
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describe('FindParams.includeVectors', () => {
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let brain: Brainy
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beforeEach(async () => {
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brain = new Brainy(createTestConfig())
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await brain.init()
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})
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afterEach(async () => {
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await brain.close()
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})
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it('returns the stored vector for query-based find when includeVectors is true', async () => {
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const id = await brain.add({
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type: 'document',
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data: 'machine learning and neural networks',
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metadata: { topic: 'ai' }
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})
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// Stored vector, as get() surfaces it — the reference for the find() result.
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const stored = await brain.get(id, { includeVectors: true })
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expect(stored!.vector.length).toBeGreaterThan(0)
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const results = await brain.find({
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query: 'machine learning and neural networks',
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includeVectors: true,
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limit: 10
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})
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const hit = results.find((r) => r.entity.id === id)
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expect(hit).toBeDefined()
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expect(hit!.entity.vector.length).toBeGreaterThan(0)
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expect(hit!.entity.vector).toEqual(stored!.vector)
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})
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it('returns an empty vector by default (perf contract preserved)', async () => {
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const id = await brain.add({
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type: 'document',
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data: 'default path should not hydrate vectors',
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metadata: { topic: 'perf' }
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})
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const results = await brain.find({
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query: 'default path should not hydrate vectors',
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limit: 10
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})
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const hit = results.find((r) => r.entity.id === id)
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expect(hit).toBeDefined()
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expect(hit!.entity.vector.length).toBe(0)
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})
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it('honors includeVectors on the metadata-only where path', async () => {
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const id = await brain.add({
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type: 'thing',
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data: 'metadata only filter target',
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metadata: { category: 'filtered' }
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})
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const stored = await brain.get(id, { includeVectors: true })
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const withVectors = await brain.find({
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where: { category: 'filtered' },
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includeVectors: true,
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limit: 10
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})
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const hit = withVectors.find((r) => r.entity.id === id)
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expect(hit).toBeDefined()
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expect(hit!.entity.vector.length).toBeGreaterThan(0)
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expect(hit!.entity.vector).toEqual(stored!.vector)
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// And the same filter without the flag stays empty.
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const withoutVectors = await brain.find({
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where: { category: 'filtered' },
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limit: 10
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})
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const plainHit = withoutVectors.find((r) => r.entity.id === id)
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expect(plainHit).toBeDefined()
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expect(plainHit!.entity.vector.length).toBe(0)
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})
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})
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