distinctCount previously routed through getNumericField, so it silently returned 0 for
string/categorical fields — its primary use case (distinct categories / users / tags).
It now tracks the raw value (any type, keyed by string form) on both the add and remove
contribution paths; numeric ops (sum/avg/min/max/stddev/variance/percentile) are unchanged.
Also adds regression coverage confirming two long-standing query behaviors hold on the 8.0
engine: find({ where: { field: { missing: true } } }) matches a never-registered field, and
find({ type: [...], orderBy, limit }) returns the full set on the first call after
mutate+query+get. (percentile/median were already correct.)
Tests: tests/unit/brainy/find-agg-edge-cases.test.ts + existing aggregation suite green.
102 lines
3.4 KiB
TypeScript
102 lines
3.4 KiB
TypeScript
/**
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* Edge-case regression tests for three long-standing query/aggregation items
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* (#26 missing-field predicate, #27 type[]+orderBy first-call completeness,
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* #24 percentile/median/distinctCount aggregation ops) — verified against the 8.0 engine.
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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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import { NounType } from '../../../src/types/graphTypes'
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describe('find + aggregation edge cases', () => {
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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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// #26
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it('find({ where: { field: { missing: true } } }) matches a never-registered field', async () => {
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const a = await brain.add({ data: 'a', type: NounType.Thing, subtype: 'x', metadata: { name: 'A' } })
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const b = await brain.add({
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data: 'b',
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type: NounType.Thing,
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subtype: 'x',
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metadata: { name: 'B', status: 'open' }
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})
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// Never-registered field → every entity "misses" it.
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const neverReg = await brain.find({ where: { neverRegistered: { missing: true } }, limit: 100 })
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const neverRegIds = neverReg.map((r) => r.id)
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expect(neverRegIds).toContain(a)
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expect(neverRegIds).toContain(b)
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// Registered field, absent on one entity.
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const noStatus = await brain.find({ where: { status: { missing: true } }, limit: 100 })
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const noStatusIds = noStatus.map((r) => r.id)
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expect(noStatusIds).toContain(a) // a has no status
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expect(noStatusIds).not.toContain(b) // b has status
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})
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// #27
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it('find({ type: [...], orderBy, limit }) returns the full set on the first call after mutate+query+get', async () => {
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const ids: string[] = []
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for (let i = 0; i < 6; i++) {
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ids.push(
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await brain.add({
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data: `e${i}`,
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type: i % 2 === 0 ? NounType.Document : NounType.Person,
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subtype: 'x',
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metadata: { n: i }
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})
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)
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}
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await brain.update({ id: ids[0], metadata: { n: 100 }, merge: true }) // mutate
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await brain.find({ query: 'e' }) // query
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await brain.get(ids[1]) // get
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const r = await brain.find({
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type: [NounType.Document, NounType.Person],
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orderBy: 'n',
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limit: 10
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})
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expect(r).toHaveLength(6) // all six, not a partial page
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})
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// #24
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it('queryAggregate supports percentile (median) and distinctCount', async () => {
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brain.defineAggregate({
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name: 'amounts',
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source: { type: NounType.Event },
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groupBy: ['subtype'], // all 'txn' → one group
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metrics: {
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median: { op: 'percentile', field: 'amount', p: 0.5 },
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distinctCats: { op: 'distinctCount', field: 'category' }
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}
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})
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const rows0: Array<[number, string]> = [
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[10, 'a'],
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[20, 'b'],
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[30, 'a'],
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[40, 'c'],
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[50, 'b']
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]
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for (const [amount, category] of rows0) {
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await brain.add({ data: 'evt', type: NounType.Event, subtype: 'txn', metadata: { amount, category } })
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}
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const rows = await brain.queryAggregate('amounts', {})
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expect(rows.length).toBeGreaterThanOrEqual(1)
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const m = (rows[0] as any).metrics ?? rows[0]
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expect(m.median).toBeGreaterThanOrEqual(20)
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expect(m.median).toBeLessThanOrEqual(40)
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expect(m.distinctCats).toBe(3) // a, b, c
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})
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})
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