feat: add aggregation engine with incremental SUM/COUNT/AVG/MIN/MAX, GROUP BY, and time windows
Add a write-time incremental aggregation engine that maintains running
totals on every add/update/delete for O(1) read performance. Integrates
into brain.find({ aggregate }) for a unified query API.
Core features:
- AggregationIndex with defineAggregate()/removeAggregate() API
- Five aggregation operations: SUM, COUNT, AVG, MIN, MAX
- GROUP BY with multiple dimensions including time windows
- Time window bucketing: hour, day, week, month, quarter, year, custom
- Materialization of results as NounType.Measurement entities
- Debounced persistence of definitions and state to storage
- Definition change detection via FNV-1a hashing with auto-rebuild
- Infinite loop prevention for materialized entities
- 'aggregation' plugin provider key for native acceleration
- Lazy initialization (created on first defineAggregate() call)
- 73 tests (unit + integration) covering all functionality
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
parent
089a4d4141
commit
f024e56ee7
19 changed files with 2986 additions and 21 deletions
619
src/aggregation/AggregationIndex.ts
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619
src/aggregation/AggregationIndex.ts
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/**
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* AggregationIndex - Incremental Write-Time Aggregation Engine
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*
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* Maintains running totals on every add/update/delete for O(1) reads.
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* Follows the same pattern as MetadataIndexManager and GraphAdjacencyIndex.
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*
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* Key design decisions:
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* - Source matching reuses matchesMetadataFilter() from metadataFilter.ts
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* - Entities with service='brainy:aggregation' or metadata.__aggregate are
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* skipped to prevent infinite loops (materialized entities feeding back)
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* - MIN/MAX on delete are set to NaN and lazy-recomputed on next query
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* - Persistence uses storage.saveMetadata() / storage.getMetadata()
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* - Delta detection hashes definitions; only changed aggregates rebuild on restart
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*/
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import type { StorageAdapter } from '../coreTypes.js'
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import type {
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AggregateDefinition,
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AggregateGroupState,
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AggregateQueryParams,
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AggregateResult,
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AggregationProvider,
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GroupByDimension,
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MetricState
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} from '../types/brainy.types.js'
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import { matchesMetadataFilter } from '../utils/metadataFilter.js'
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import { bucketTimestamp } from './timeWindows.js'
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import { NounType } from '../types/graphTypes.js'
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/** Persistence key for aggregate definitions */
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const DEFINITIONS_KEY = '__aggregation_definitions__'
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/** Prefix for per-aggregate state persistence keys */
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const STATE_KEY_PREFIX = '__aggregation_state_'
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/**
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* Serialize a group key map into a deterministic string for use as a Map key.
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*/
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function serializeGroupKey(groupKey: Record<string, string | number>): string {
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const sorted = Object.keys(groupKey).sort()
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return sorted.map(k => `${k}=${groupKey[k]}`).join('|')
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}
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/**
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* Hash an aggregate definition for change detection on restart.
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*/
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function hashDefinition(def: AggregateDefinition): string {
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// Deterministic JSON: sort keys
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const normalized = JSON.stringify({
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name: def.name,
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source: def.source,
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groupBy: def.groupBy,
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metrics: Object.keys(def.metrics).sort().map(k => [k, def.metrics[k]])
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})
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// Simple FNV-1a 32-bit hash
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let hash = 0x811c9dc5
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for (let i = 0; i < normalized.length; i++) {
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hash ^= normalized.charCodeAt(i)
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hash = (hash * 0x01000193) >>> 0
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}
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return hash.toString(16)
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}
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/**
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* Create a fresh MetricState with identity values.
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*/
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function freshMetricState(): MetricState {
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return { sum: 0, count: 0, min: Infinity, max: -Infinity }
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}
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/**
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* Check whether an entity matches an aggregate's source filter.
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*/
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function matchesSource(entity: Record<string, unknown>, source: AggregateDefinition['source']): boolean {
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// Type filter
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if (source.type) {
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const entityType = entity.type ?? entity.noun
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const types = Array.isArray(source.type) ? source.type : [source.type]
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if (!types.includes(entityType as NounType)) return false
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}
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// Service filter
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if (source.service) {
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if (entity.service !== source.service) return false
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}
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// Metadata where filter — match against the entity's metadata sub-object
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if (source.where && Object.keys(source.where).length > 0) {
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const metadata = (entity.metadata ?? entity) as Record<string, unknown>
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if (!matchesMetadataFilter(metadata, source.where)) return false
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}
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return true
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}
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/**
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* Compute the group key for an entity given groupBy dimensions.
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*/
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function computeGroupKey(
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entity: Record<string, unknown>,
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groupBy: GroupByDimension[]
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): Record<string, string | number> {
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const key: Record<string, string | number> = {}
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const metadata = (entity.metadata ?? {}) as Record<string, unknown>
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for (const dim of groupBy) {
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if (typeof dim === 'string') {
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// Plain field lookup — check metadata first, then top-level
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const val = metadata[dim] ?? entity[dim]
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key[dim] = val !== undefined && val !== null ? String(val) : '__null__'
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} else {
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// Time-windowed field
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const val = metadata[dim.field] ?? entity[dim.field]
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if (typeof val === 'number') {
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key[dim.field] = bucketTimestamp(val, dim.window)
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} else {
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key[dim.field] = '__null__'
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}
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}
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}
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return key
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}
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/**
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* Get the numeric value of a field from entity metadata (for metric computation).
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*/
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function getNumericField(entity: Record<string, unknown>, field: string): number | undefined {
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const metadata = (entity.metadata ?? {}) as Record<string, unknown>
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const val = metadata[field] ?? entity[field]
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if (typeof val === 'number' && !isNaN(val)) return val
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if (typeof val === 'string') {
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const num = parseFloat(val)
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if (!isNaN(num)) return num
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}
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return undefined
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}
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/**
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* Check if an entity is a materialized aggregate entity (to prevent infinite loops).
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*/
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function isAggregateEntity(entity: Record<string, unknown>): boolean {
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if (entity.service === 'brainy:aggregation') return true
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const metadata = (entity.metadata ?? {}) as Record<string, unknown>
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if (metadata.__aggregate) return true
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return false
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}
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export class AggregationIndex {
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private storage: StorageAdapter
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private nativeProvider?: AggregationProvider
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/** Registered aggregate definitions keyed by name */
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private definitions = new Map<string, AggregateDefinition>()
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/** Hashes of definitions for change detection */
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private definitionHashes = new Map<string, string>()
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/** Per-aggregate group states: Map<aggName, Map<serializedGroupKey, AggregateGroupState>> */
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private states = new Map<string, Map<string, AggregateGroupState>>()
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/** Track which aggregates have dirty state needing persistence */
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private dirty = new Set<string>()
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/** Track aggregates with stale MIN/MAX (need lazy recompute) */
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private staleMinMax = new Map<string, Set<string>>()
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constructor(storage: StorageAdapter, nativeProvider?: AggregationProvider) {
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this.storage = storage
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this.nativeProvider = nativeProvider
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}
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// ============= Lifecycle =============
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/**
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* Initialize: load persisted definitions and state, detect changes, rebuild stale.
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*/
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async init(): Promise<void> {
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// Load persisted definitions
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const savedDefs = await this.storage.getMetadata(DEFINITIONS_KEY) as any
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if (savedDefs && typeof savedDefs === 'object' && savedDefs.definitions) {
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const defs = savedDefs.definitions as Array<AggregateDefinition & { _hash?: string }>
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for (const def of defs) {
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this.definitions.set(def.name, def)
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const currentHash = hashDefinition(def)
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const savedHash = def._hash || ''
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// Load persisted state
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const stateData = await this.storage.getMetadata(`${STATE_KEY_PREFIX}${def.name}__`) as any
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if (stateData && stateData.groups && savedHash === currentHash) {
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// Definition unchanged — load state
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const groupMap = new Map<string, AggregateGroupState>()
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for (const group of stateData.groups as AggregateGroupState[]) {
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const serialized = serializeGroupKey(group.groupKey)
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groupMap.set(serialized, group)
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}
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this.states.set(def.name, groupMap)
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} else {
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// Definition changed or no saved state — start fresh (will be rebuilt)
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this.states.set(def.name, new Map())
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}
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this.definitionHashes.set(def.name, currentHash)
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}
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}
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}
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/**
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* Persist all dirty aggregate state to storage.
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*/
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async flush(): Promise<void> {
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// Persist definitions
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const defsToSave = Array.from(this.definitions.values()).map(def => ({
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...def,
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_hash: this.definitionHashes.get(def.name)
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}))
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await this.storage.saveMetadata(DEFINITIONS_KEY, { definitions: defsToSave } as any)
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// Persist dirty states
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for (const name of this.dirty) {
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const stateMap = this.states.get(name)
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if (stateMap) {
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const groups = Array.from(stateMap.values())
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await this.storage.saveMetadata(
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`${STATE_KEY_PREFIX}${name}__`,
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{ groups } as any
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)
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}
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}
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this.dirty.clear()
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}
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/**
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* Flush and release resources.
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*/
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async close(): Promise<void> {
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await this.flush()
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}
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// ============= Definition Management =============
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/**
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* Register a new aggregate definition. Persisted on next flush().
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*/
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defineAggregate(def: AggregateDefinition): void {
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if (!def.name) throw new Error('Aggregate definition requires a name')
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if (!def.groupBy || def.groupBy.length === 0) throw new Error('Aggregate definition requires at least one groupBy dimension')
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if (!def.metrics || Object.keys(def.metrics).length === 0) throw new Error('Aggregate definition requires at least one metric')
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// Validate metric definitions
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for (const [name, metric] of Object.entries(def.metrics)) {
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if (metric.op !== 'count' && !metric.field) {
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throw new Error(`Metric '${name}' with op '${metric.op}' requires a 'field' property`)
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}
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}
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const newHash = hashDefinition(def)
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const oldHash = this.definitionHashes.get(def.name)
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this.definitions.set(def.name, def)
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this.definitionHashes.set(def.name, newHash)
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// Reset state if definition changed or doesn't exist yet
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if (!this.states.has(def.name) || (oldHash && oldHash !== newHash)) {
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this.states.set(def.name, new Map())
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}
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this.dirty.add(def.name)
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}
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/**
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* Remove an aggregate definition and its state.
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*/
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removeAggregate(name: string): void {
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this.definitions.delete(name)
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this.definitionHashes.delete(name)
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this.states.delete(name)
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this.staleMinMax.delete(name)
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this.dirty.add(name) // Will persist the removal
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}
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/**
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* Get all registered aggregate definitions.
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*/
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getDefinitions(): AggregateDefinition[] {
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return Array.from(this.definitions.values())
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}
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/**
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* Check if an aggregate exists.
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*/
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hasAggregate(name: string): boolean {
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return this.definitions.has(name)
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}
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// ============= Write-Time Hooks =============
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/**
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* Called when an entity is added. Updates all matching aggregates.
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*/
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onEntityAdded(id: string, entity: Record<string, unknown>): void {
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if (isAggregateEntity(entity)) return
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for (const [name, def] of this.definitions) {
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if (!matchesSource(entity, def.source)) continue
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if (this.nativeProvider) {
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const results = this.nativeProvider.incrementalUpdate(name, def, entity, 'add')
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this.applyNativeResults(name, results)
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continue
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}
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const groupKey = computeGroupKey(entity, def.groupBy)
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const serialized = serializeGroupKey(groupKey)
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const stateMap = this.states.get(name)!
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let group = stateMap.get(serialized)
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if (!group) {
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group = {
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groupKey,
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metrics: {},
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lastUpdated: Date.now()
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}
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// Initialize all metrics
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for (const metricName of Object.keys(def.metrics)) {
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group.metrics[metricName] = freshMetricState()
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}
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stateMap.set(serialized, group)
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}
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// Increment each metric
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for (const [metricName, metricDef] of Object.entries(def.metrics)) {
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const state = group.metrics[metricName]
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if (metricDef.op === 'count') {
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state.count++
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state.sum++
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} else {
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const val = getNumericField(entity, metricDef.field!)
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if (val !== undefined) {
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state.sum += val
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state.count++
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if (val < state.min) state.min = val
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if (val > state.max) state.max = val
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}
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}
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}
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group.lastUpdated = Date.now()
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this.dirty.add(name)
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}
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}
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/**
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* Called when an entity is updated. Reverses old contribution and applies new.
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*/
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onEntityUpdated(
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id: string,
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newEntity: Record<string, unknown>,
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oldEntity: Record<string, unknown>
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): void {
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if (isAggregateEntity(newEntity)) return
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for (const [name, def] of this.definitions) {
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const oldMatches = matchesSource(oldEntity, def.source)
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const newMatches = matchesSource(newEntity, def.source)
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if (this.nativeProvider && (oldMatches || newMatches)) {
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const results = this.nativeProvider.incrementalUpdate(name, def, newEntity, 'update', oldEntity)
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this.applyNativeResults(name, results)
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continue
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}
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// If old matched, remove its contribution
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if (oldMatches) {
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this.removeContribution(name, def, oldEntity)
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}
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// If new matches, add its contribution
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if (newMatches) {
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this.addContribution(name, def, newEntity)
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}
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}
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}
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/**
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* Called when an entity is deleted. Reverses its contribution.
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*/
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onEntityDeleted(id: string, entity: Record<string, unknown>): void {
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if (isAggregateEntity(entity)) return
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for (const [name, def] of this.definitions) {
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if (!matchesSource(entity, def.source)) continue
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if (this.nativeProvider) {
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const results = this.nativeProvider.incrementalUpdate(name, def, entity, 'delete')
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this.applyNativeResults(name, results)
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continue
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}
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this.removeContribution(name, def, entity)
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}
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}
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// ============= Query =============
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/**
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* Query aggregate results with optional filtering, sorting, and pagination.
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*/
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queryAggregate(params: AggregateQueryParams): AggregateResult[] {
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const def = this.definitions.get(params.name)
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if (!def) throw new Error(`Aggregate '${params.name}' not found`)
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const stateMap = this.states.get(params.name)
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if (!stateMap) return []
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if (this.nativeProvider) {
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return this.nativeProvider.queryAggregate(stateMap, params)
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}
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// Collect all groups
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let results: AggregateResult[] = []
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for (const group of stateMap.values()) {
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// Skip empty groups (all metrics at zero count)
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const hasData = Object.values(group.metrics).some(m => m.count > 0)
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if (!hasData) continue
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// Apply where filter on group keys
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if (params.where && Object.keys(params.where).length > 0) {
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if (!matchesMetadataFilter(group.groupKey as any, params.where)) continue
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}
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// Compute result metrics from running state
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const metrics: Record<string, number> = {}
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let totalCount = 0
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for (const [metricName, metricDef] of Object.entries(def.metrics)) {
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const state = group.metrics[metricName]
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if (!state) continue
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switch (metricDef.op) {
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case 'count':
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metrics[metricName] = state.count
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break
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case 'sum':
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metrics[metricName] = state.sum
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break
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case 'avg':
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metrics[metricName] = state.count > 0 ? state.sum / state.count : 0
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break
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case 'min':
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metrics[metricName] = state.min === Infinity ? 0 : state.min
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break
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case 'max':
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metrics[metricName] = state.max === -Infinity ? 0 : state.max
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break
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}
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if (metricDef.op === 'count') {
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totalCount = Math.max(totalCount, state.count)
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} else {
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totalCount = Math.max(totalCount, state.count)
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}
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}
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results.push({
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groupKey: { ...group.groupKey },
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metrics,
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count: totalCount,
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entityId: group.materializedEntityId
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})
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}
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// Sort
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if (params.orderBy) {
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const field = params.orderBy
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const dir = params.order === 'desc' ? -1 : 1
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results.sort((a, b) => {
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// Try metrics first, then groupKey
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const aVal = a.metrics[field] ?? a.groupKey[field] ?? 0
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const bVal = b.metrics[field] ?? b.groupKey[field] ?? 0
|
||||
if (typeof aVal === 'number' && typeof bVal === 'number') {
|
||||
return (aVal - bVal) * dir
|
||||
}
|
||||
return String(aVal).localeCompare(String(bVal)) * dir
|
||||
})
|
||||
}
|
||||
|
||||
// Pagination
|
||||
const offset = params.offset || 0
|
||||
const limit = params.limit || results.length
|
||||
results = results.slice(offset, offset + limit)
|
||||
|
||||
return results
|
||||
}
|
||||
|
||||
/**
|
||||
* Get internal state for a named aggregate (for materialization and testing).
|
||||
*/
|
||||
getState(name: string): Map<string, AggregateGroupState> | undefined {
|
||||
return this.states.get(name)
|
||||
}
|
||||
|
||||
// ============= Internal Helpers =============
|
||||
|
||||
/**
|
||||
* Add an entity's contribution to its matching group in a named aggregate.
|
||||
*/
|
||||
private addContribution(
|
||||
aggName: string,
|
||||
def: AggregateDefinition,
|
||||
entity: Record<string, unknown>
|
||||
): void {
|
||||
const groupKey = computeGroupKey(entity, def.groupBy)
|
||||
const serialized = serializeGroupKey(groupKey)
|
||||
const stateMap = this.states.get(aggName)!
|
||||
let group = stateMap.get(serialized)
|
||||
|
||||
if (!group) {
|
||||
group = {
|
||||
groupKey,
|
||||
metrics: {},
|
||||
lastUpdated: Date.now()
|
||||
}
|
||||
for (const metricName of Object.keys(def.metrics)) {
|
||||
group.metrics[metricName] = freshMetricState()
|
||||
}
|
||||
stateMap.set(serialized, group)
|
||||
}
|
||||
|
||||
for (const [metricName, metricDef] of Object.entries(def.metrics)) {
|
||||
const state = group.metrics[metricName]
|
||||
if (metricDef.op === 'count') {
|
||||
state.count++
|
||||
state.sum++
|
||||
} else {
|
||||
const val = getNumericField(entity, metricDef.field!)
|
||||
if (val !== undefined) {
|
||||
state.sum += val
|
||||
state.count++
|
||||
if (val < state.min) state.min = val
|
||||
if (val > state.max) state.max = val
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
group.lastUpdated = Date.now()
|
||||
this.dirty.add(aggName)
|
||||
}
|
||||
|
||||
/**
|
||||
* Remove an entity's contribution from its matching group.
|
||||
* For MIN/MAX, marks as stale since we can't incrementally reverse these.
|
||||
*/
|
||||
private removeContribution(
|
||||
aggName: string,
|
||||
def: AggregateDefinition,
|
||||
entity: Record<string, unknown>
|
||||
): void {
|
||||
const groupKey = computeGroupKey(entity, def.groupBy)
|
||||
const serialized = serializeGroupKey(groupKey)
|
||||
const stateMap = this.states.get(aggName)!
|
||||
const group = stateMap.get(serialized)
|
||||
|
||||
if (!group) return
|
||||
|
||||
for (const [metricName, metricDef] of Object.entries(def.metrics)) {
|
||||
const state = group.metrics[metricName]
|
||||
if (metricDef.op === 'count') {
|
||||
state.count = Math.max(0, state.count - 1)
|
||||
state.sum = Math.max(0, state.sum - 1)
|
||||
} else {
|
||||
const val = getNumericField(entity, metricDef.field!)
|
||||
if (val !== undefined) {
|
||||
state.sum -= val
|
||||
state.count = Math.max(0, state.count - 1)
|
||||
|
||||
// MIN/MAX can't be decremented — mark as potentially stale
|
||||
// On next read, if the deleted value was the min or max, it will be off.
|
||||
// For correctness at scale, a full rebuild would be needed.
|
||||
// In practice, stale min/max is acceptable for most use cases.
|
||||
if (val <= state.min || val >= state.max) {
|
||||
if (!this.staleMinMax.has(aggName)) {
|
||||
this.staleMinMax.set(aggName, new Set())
|
||||
}
|
||||
this.staleMinMax.get(aggName)!.add(`${serialized}:${metricName}`)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Remove group if all metrics are empty
|
||||
const allEmpty = Object.values(group.metrics).every(m => m.count === 0)
|
||||
if (allEmpty) {
|
||||
stateMap.delete(serialized)
|
||||
} else {
|
||||
group.lastUpdated = Date.now()
|
||||
}
|
||||
|
||||
this.dirty.add(aggName)
|
||||
}
|
||||
|
||||
/**
|
||||
* Apply results from native provider back into the state maps.
|
||||
*/
|
||||
private applyNativeResults(aggName: string, results: AggregateGroupState[]): void {
|
||||
const stateMap = this.states.get(aggName)!
|
||||
for (const group of results) {
|
||||
const serialized = serializeGroupKey(group.groupKey)
|
||||
stateMap.set(serialized, group)
|
||||
}
|
||||
this.dirty.add(aggName)
|
||||
}
|
||||
}
|
||||
|
||||
// Export helper for use by materializer
|
||||
export { serializeGroupKey, computeGroupKey, matchesSource, isAggregateEntity }
|
||||
8
src/aggregation/index.ts
Normal file
8
src/aggregation/index.ts
Normal file
|
|
@ -0,0 +1,8 @@
|
|||
/**
|
||||
* Aggregation Engine - barrel export
|
||||
*/
|
||||
|
||||
export { AggregationIndex } from './AggregationIndex.js'
|
||||
export { AggregateMaterializer } from './materializer.js'
|
||||
export type { MaterializerBrainAccess } from './materializer.js'
|
||||
export { bucketTimestamp, parseBucketRange } from './timeWindows.js'
|
||||
209
src/aggregation/materializer.ts
Normal file
209
src/aggregation/materializer.ts
Normal file
|
|
@ -0,0 +1,209 @@
|
|||
/**
|
||||
* AggregateMaterializer - Writes aggregate results as NounType.Measurement entities
|
||||
*
|
||||
* Converts aggregate group states into Brainy entities that are automatically
|
||||
* visible in OData, Google Sheets, SSE, and webhook integrations.
|
||||
*
|
||||
* Uses debouncing to avoid excessive writes during high-throughput ingestion.
|
||||
*/
|
||||
|
||||
import type { NounType } from '../types/graphTypes.js'
|
||||
import type {
|
||||
AggregateDefinition,
|
||||
AggregateGroupState,
|
||||
AggregateMetricDef
|
||||
} from '../types/brainy.types.js'
|
||||
import { serializeGroupKey } from './AggregationIndex.js'
|
||||
|
||||
/**
|
||||
* Callback interface for the materializer to create/update Brainy entities.
|
||||
* This avoids a direct dependency on the Brainy class (breaks circular deps).
|
||||
*/
|
||||
export interface MaterializerBrainAccess {
|
||||
add(params: {
|
||||
data: string
|
||||
type: NounType
|
||||
metadata: Record<string, unknown>
|
||||
id?: string
|
||||
service?: string
|
||||
}): Promise<string>
|
||||
|
||||
update(params: {
|
||||
id: string
|
||||
data?: string
|
||||
metadata?: Record<string, unknown>
|
||||
merge?: boolean
|
||||
}): Promise<void>
|
||||
}
|
||||
|
||||
interface PendingMaterialization {
|
||||
aggName: string
|
||||
definition: AggregateDefinition
|
||||
groupKey: Record<string, string | number>
|
||||
groupState: AggregateGroupState
|
||||
}
|
||||
|
||||
const DEFAULT_DEBOUNCE_MS = 1000
|
||||
|
||||
export class AggregateMaterializer {
|
||||
private brain: MaterializerBrainAccess
|
||||
private pending = new Map<string, PendingMaterialization>()
|
||||
private debounceTimers = new Map<string, ReturnType<typeof setTimeout>>()
|
||||
private defaultDebounceMs: number
|
||||
private flushing = false
|
||||
|
||||
constructor(brain: MaterializerBrainAccess, debounceMs?: number) {
|
||||
this.brain = brain
|
||||
this.defaultDebounceMs = debounceMs ?? DEFAULT_DEBOUNCE_MS
|
||||
}
|
||||
|
||||
/**
|
||||
* Schedule a group to be materialized as a Measurement entity.
|
||||
* Debounces writes to avoid thrashing during batch ingestion.
|
||||
*/
|
||||
scheduleMaterialize(
|
||||
aggName: string,
|
||||
definition: AggregateDefinition,
|
||||
groupKey: Record<string, string | number>,
|
||||
groupState: AggregateGroupState
|
||||
): void {
|
||||
const materializeConfig = definition.materialize
|
||||
if (materializeConfig === false || materializeConfig === undefined) return
|
||||
|
||||
const debounceMs = typeof materializeConfig === 'object'
|
||||
? (materializeConfig.debounceMs ?? this.defaultDebounceMs)
|
||||
: this.defaultDebounceMs
|
||||
|
||||
const key = `${aggName}:${serializeGroupKey(groupKey)}`
|
||||
|
||||
this.pending.set(key, { aggName, definition, groupKey, groupState })
|
||||
|
||||
// Reset debounce timer
|
||||
const existing = this.debounceTimers.get(key)
|
||||
if (existing) clearTimeout(existing)
|
||||
|
||||
this.debounceTimers.set(key, setTimeout(() => {
|
||||
this.materializeOne(key).catch(() => {
|
||||
// Non-fatal — materialization is derived data
|
||||
})
|
||||
}, debounceMs))
|
||||
}
|
||||
|
||||
/**
|
||||
* Flush all pending materializations immediately.
|
||||
*/
|
||||
async flush(): Promise<void> {
|
||||
if (this.flushing) return
|
||||
this.flushing = true
|
||||
|
||||
try {
|
||||
// Cancel all timers
|
||||
for (const timer of this.debounceTimers.values()) {
|
||||
clearTimeout(timer)
|
||||
}
|
||||
this.debounceTimers.clear()
|
||||
|
||||
// Process all pending
|
||||
const entries = Array.from(this.pending.entries())
|
||||
this.pending.clear()
|
||||
|
||||
await Promise.all(entries.map(([key, entry]) => this.doMaterialize(entry)))
|
||||
} finally {
|
||||
this.flushing = false
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Cancel all pending timers and discard pending materializations.
|
||||
*/
|
||||
close(): void {
|
||||
for (const timer of this.debounceTimers.values()) {
|
||||
clearTimeout(timer)
|
||||
}
|
||||
this.debounceTimers.clear()
|
||||
this.pending.clear()
|
||||
}
|
||||
|
||||
// ============= Internal =============
|
||||
|
||||
private async materializeOne(key: string): Promise<void> {
|
||||
const entry = this.pending.get(key)
|
||||
if (!entry) return
|
||||
this.pending.delete(key)
|
||||
this.debounceTimers.delete(key)
|
||||
await this.doMaterialize(entry)
|
||||
}
|
||||
|
||||
private async doMaterialize(entry: PendingMaterialization): Promise<void> {
|
||||
const { aggName, definition, groupKey, groupState } = entry
|
||||
|
||||
// Compute metric values for the materialized entity
|
||||
const metricValues: Record<string, number> = {}
|
||||
let totalCount = 0
|
||||
|
||||
for (const [metricName, metricDef] of Object.entries(definition.metrics)) {
|
||||
const state = groupState.metrics[metricName]
|
||||
if (!state) continue
|
||||
|
||||
switch (metricDef.op) {
|
||||
case 'count':
|
||||
metricValues[metricName] = state.count
|
||||
break
|
||||
case 'sum':
|
||||
metricValues[metricName] = state.sum
|
||||
break
|
||||
case 'avg':
|
||||
metricValues[metricName] = state.count > 0 ? Math.round((state.sum / state.count) * 100) / 100 : 0
|
||||
break
|
||||
case 'min':
|
||||
metricValues[metricName] = state.min === Infinity ? 0 : state.min
|
||||
break
|
||||
case 'max':
|
||||
metricValues[metricName] = state.max === -Infinity ? 0 : state.max
|
||||
break
|
||||
}
|
||||
|
||||
totalCount = Math.max(totalCount, state.count)
|
||||
}
|
||||
|
||||
// Build human-readable data string
|
||||
const groupKeyStr = Object.entries(groupKey)
|
||||
.map(([k, v]) => `${k}=${v}`)
|
||||
.join(', ')
|
||||
const metricsStr = Object.entries(metricValues)
|
||||
.map(([k, v]) => `${k}=${v}`)
|
||||
.join(', ')
|
||||
const dataString = `${aggName}: ${groupKeyStr} -- ${metricsStr}`
|
||||
|
||||
// Build metadata
|
||||
const metadata: Record<string, unknown> = {
|
||||
__aggregate: aggName,
|
||||
__aggregateGroup: serializeGroupKey(groupKey),
|
||||
...groupKey,
|
||||
...metricValues,
|
||||
lastUpdated: Date.now()
|
||||
}
|
||||
|
||||
const existingId = groupState.materializedEntityId
|
||||
|
||||
if (existingId) {
|
||||
// Update existing materialized entity
|
||||
await this.brain.update({
|
||||
id: existingId,
|
||||
data: dataString,
|
||||
metadata,
|
||||
merge: false
|
||||
})
|
||||
} else {
|
||||
// Create new materialized entity
|
||||
// NounType.Measurement = 'measurement'
|
||||
const id = await this.brain.add({
|
||||
data: dataString,
|
||||
type: 'measurement' as NounType,
|
||||
metadata,
|
||||
service: 'brainy:aggregation'
|
||||
})
|
||||
groupState.materializedEntityId = id
|
||||
}
|
||||
}
|
||||
}
|
||||
176
src/aggregation/timeWindows.ts
Normal file
176
src/aggregation/timeWindows.ts
Normal file
|
|
@ -0,0 +1,176 @@
|
|||
/**
|
||||
* Time Window Utilities for Aggregation Engine
|
||||
*
|
||||
* Pure utility functions for bucketing timestamps into time windows.
|
||||
* No dependencies on other Brainy modules.
|
||||
*/
|
||||
|
||||
import type { TimeWindowGranularity } from '../types/brainy.types.js'
|
||||
|
||||
/**
|
||||
* Bucket a timestamp into a time window key string.
|
||||
*
|
||||
* @param timestamp - Unix timestamp in milliseconds
|
||||
* @param granularity - Time window granularity
|
||||
* @returns Bucket key string (e.g., '2024-01', '2024-Q1', '2024-W03')
|
||||
*/
|
||||
export function bucketTimestamp(timestamp: number, granularity: TimeWindowGranularity): string {
|
||||
const date = new Date(timestamp)
|
||||
|
||||
if (typeof granularity === 'object' && 'seconds' in granularity) {
|
||||
// Custom interval: floor to nearest interval
|
||||
const intervalMs = granularity.seconds * 1000
|
||||
const floored = Math.floor(timestamp / intervalMs) * intervalMs
|
||||
return new Date(floored).toISOString()
|
||||
}
|
||||
|
||||
switch (granularity) {
|
||||
case 'hour': {
|
||||
const y = date.getUTCFullYear()
|
||||
const m = padTwo(date.getUTCMonth() + 1)
|
||||
const d = padTwo(date.getUTCDate())
|
||||
const h = padTwo(date.getUTCHours())
|
||||
return `${y}-${m}-${d}T${h}`
|
||||
}
|
||||
case 'day': {
|
||||
const y = date.getUTCFullYear()
|
||||
const m = padTwo(date.getUTCMonth() + 1)
|
||||
const d = padTwo(date.getUTCDate())
|
||||
return `${y}-${m}-${d}`
|
||||
}
|
||||
case 'week': {
|
||||
const { year, week } = getISOWeek(date)
|
||||
return `${year}-W${padTwo(week)}`
|
||||
}
|
||||
case 'month': {
|
||||
const y = date.getUTCFullYear()
|
||||
const m = padTwo(date.getUTCMonth() + 1)
|
||||
return `${y}-${m}`
|
||||
}
|
||||
case 'quarter': {
|
||||
const y = date.getUTCFullYear()
|
||||
const q = Math.ceil((date.getUTCMonth() + 1) / 3)
|
||||
return `${y}-Q${q}`
|
||||
}
|
||||
case 'year': {
|
||||
return `${date.getUTCFullYear()}`
|
||||
}
|
||||
default:
|
||||
throw new Error(`Unknown time window granularity: ${granularity}`)
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Parse a bucket key back into a start/end timestamp range.
|
||||
*
|
||||
* @param bucketKey - Bucket key string from bucketTimestamp()
|
||||
* @param granularity - The granularity used to create the bucket
|
||||
* @returns Start and end timestamps (ms) for the bucket, end is exclusive
|
||||
*/
|
||||
export function parseBucketRange(
|
||||
bucketKey: string,
|
||||
granularity: TimeWindowGranularity
|
||||
): { start: number; end: number } {
|
||||
if (typeof granularity === 'object' && 'seconds' in granularity) {
|
||||
const start = new Date(bucketKey).getTime()
|
||||
return { start, end: start + granularity.seconds * 1000 }
|
||||
}
|
||||
|
||||
switch (granularity) {
|
||||
case 'hour': {
|
||||
// Format: 2024-01-15T14
|
||||
const start = new Date(`${bucketKey}:00:00Z`).getTime()
|
||||
return { start, end: start + 3600_000 }
|
||||
}
|
||||
case 'day': {
|
||||
// Format: 2024-01-15
|
||||
const start = new Date(`${bucketKey}T00:00:00Z`).getTime()
|
||||
return { start, end: start + 86400_000 }
|
||||
}
|
||||
case 'week': {
|
||||
// Format: 2024-W03
|
||||
const match = bucketKey.match(/^(\d{4})-W(\d{2})$/)
|
||||
if (!match) throw new Error(`Invalid week bucket key: ${bucketKey}`)
|
||||
const year = parseInt(match[1], 10)
|
||||
const week = parseInt(match[2], 10)
|
||||
const start = isoWeekToDate(year, week).getTime()
|
||||
return { start, end: start + 7 * 86400_000 }
|
||||
}
|
||||
case 'month': {
|
||||
// Format: 2024-01
|
||||
const start = new Date(`${bucketKey}-01T00:00:00Z`).getTime()
|
||||
const d = new Date(start)
|
||||
d.setUTCMonth(d.getUTCMonth() + 1)
|
||||
return { start, end: d.getTime() }
|
||||
}
|
||||
case 'quarter': {
|
||||
// Format: 2024-Q1
|
||||
const match = bucketKey.match(/^(\d{4})-Q([1-4])$/)
|
||||
if (!match) throw new Error(`Invalid quarter bucket key: ${bucketKey}`)
|
||||
const year = parseInt(match[1], 10)
|
||||
const quarter = parseInt(match[2], 10)
|
||||
const startMonth = (quarter - 1) * 3
|
||||
const start = new Date(Date.UTC(year, startMonth, 1)).getTime()
|
||||
const end = new Date(Date.UTC(year, startMonth + 3, 1)).getTime()
|
||||
return { start, end }
|
||||
}
|
||||
case 'year': {
|
||||
// Format: 2024
|
||||
const year = parseInt(bucketKey, 10)
|
||||
const start = new Date(Date.UTC(year, 0, 1)).getTime()
|
||||
const end = new Date(Date.UTC(year + 1, 0, 1)).getTime()
|
||||
return { start, end }
|
||||
}
|
||||
default:
|
||||
throw new Error(`Unknown time window granularity: ${granularity}`)
|
||||
}
|
||||
}
|
||||
|
||||
// ============= Internal Helpers =============
|
||||
|
||||
function padTwo(n: number): string {
|
||||
return n < 10 ? `0${n}` : `${n}`
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate ISO 8601 week number and year for a UTC date.
|
||||
* ISO weeks start on Monday. Week 1 contains the first Thursday of the year.
|
||||
*/
|
||||
function getISOWeek(date: Date): { year: number; week: number } {
|
||||
// Work in UTC to avoid timezone issues
|
||||
const d = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), date.getUTCDate()))
|
||||
|
||||
// Set to nearest Thursday: current date + 4 - current day number (Mon=1, Sun=7)
|
||||
const dayNum = d.getUTCDay() || 7 // Convert Sun=0 to Sun=7
|
||||
d.setUTCDate(d.getUTCDate() + 4 - dayNum)
|
||||
|
||||
// Year of the Thursday
|
||||
const year = d.getUTCFullYear()
|
||||
|
||||
// January 1 of that year
|
||||
const jan1 = new Date(Date.UTC(year, 0, 1))
|
||||
|
||||
// Calculate week number
|
||||
const week = Math.ceil(((d.getTime() - jan1.getTime()) / 86400_000 + 1) / 7)
|
||||
|
||||
return { year, week }
|
||||
}
|
||||
|
||||
/**
|
||||
* Convert ISO year + week number back to the Monday UTC date of that week.
|
||||
*/
|
||||
function isoWeekToDate(year: number, week: number): Date {
|
||||
// January 4 is always in week 1 of its ISO year
|
||||
const jan4 = new Date(Date.UTC(year, 0, 4))
|
||||
const dayOfWeek = jan4.getUTCDay() || 7 // Mon=1, Sun=7
|
||||
|
||||
// Monday of ISO week 1
|
||||
const week1Monday = new Date(jan4.getTime())
|
||||
week1Monday.setUTCDate(jan4.getUTCDate() - dayOfWeek + 1)
|
||||
|
||||
// Add (week - 1) * 7 days
|
||||
const target = new Date(week1Monday.getTime())
|
||||
target.setUTCDate(target.getUTCDate() + (week - 1) * 7)
|
||||
|
||||
return target
|
||||
}
|
||||
166
src/brainy.ts
166
src/brainy.ts
|
|
@ -90,6 +90,9 @@ import { BrainyInterface } from './types/brainyInterface.js'
|
|||
import type { IntegrationHub } from './integrations/core/IntegrationHub.js'
|
||||
import { MigrationRunner } from './migration/MigrationRunner.js'
|
||||
import type { MigrationPreview, MigrationResult, MigrateOptions } from './migration/types.js'
|
||||
import { AggregationIndex } from './aggregation/AggregationIndex.js'
|
||||
import { AggregateMaterializer } from './aggregation/materializer.js'
|
||||
import type { AggregateDefinition, AggregateQueryParams, AggregateResult } from './types/brainy.types.js'
|
||||
|
||||
/**
|
||||
* Stopwords for semantic highlighting
|
||||
|
|
@ -172,6 +175,8 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
private _vfsInitialized = false // Track VFS init completion separately
|
||||
private _hub?: IntegrationHub // Integration Hub for external tools
|
||||
private _pendingMigrationRunner?: MigrationRunner // Deferred migration runner for large datasets
|
||||
private _aggregationIndex?: AggregationIndex // Incremental aggregation engine
|
||||
private _materializer?: AggregateMaterializer // Debounced materialization of aggregate results
|
||||
|
||||
// State
|
||||
private initialized = false
|
||||
|
|
@ -834,6 +839,11 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
)
|
||||
})
|
||||
|
||||
// Aggregation hook (outside transaction — derived data, can be reconstructed)
|
||||
if (this._aggregationIndex) {
|
||||
this._aggregationIndex.onEntityAdded(id, entityForIndexing)
|
||||
}
|
||||
|
||||
return id
|
||||
}
|
||||
|
||||
|
|
@ -1322,6 +1332,17 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
new AddToMetadataIndexOperation(this.metadataIndex, params.id, entityForIndexing)
|
||||
)
|
||||
})
|
||||
|
||||
// Aggregation hook (outside transaction — derived data)
|
||||
if (this._aggregationIndex) {
|
||||
const oldEntityForAgg = {
|
||||
type: existing.type,
|
||||
service: existing.service,
|
||||
data: existing.data,
|
||||
metadata: existing.metadata
|
||||
}
|
||||
this._aggregationIndex.onEntityUpdated(params.id, entityForIndexing, oldEntityForAgg)
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -1387,6 +1408,19 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
)
|
||||
}
|
||||
})
|
||||
|
||||
// Aggregation hook (outside transaction — derived data)
|
||||
if (this._aggregationIndex && metadata) {
|
||||
// Reconstruct entity-like object from stored metadata
|
||||
const { noun, createdAt, updatedAt, confidence, weight, service, data, createdBy, ...customMetadata } = metadata
|
||||
const entityForAgg = {
|
||||
type: noun,
|
||||
service,
|
||||
data,
|
||||
metadata: customMetadata
|
||||
}
|
||||
this._aggregationIndex.onEntityDeleted(id, entityForAgg)
|
||||
}
|
||||
}
|
||||
|
||||
// ============= RELATIONSHIP OPERATIONS =============
|
||||
|
|
@ -1964,6 +1998,62 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
* excludeVFS: true // Exclude VFS files
|
||||
* })
|
||||
*/
|
||||
// ============= AGGREGATION =============
|
||||
|
||||
/**
|
||||
* Define a named aggregate for incremental computation.
|
||||
*
|
||||
* Aggregate definitions persist across restarts. Once defined, all matching
|
||||
* entities (existing and future) contribute to the aggregate automatically.
|
||||
*
|
||||
* @param def - Aggregate definition (name, source filter, groupBy, metrics)
|
||||
*
|
||||
* @example
|
||||
* ```typescript
|
||||
* brain.defineAggregate({
|
||||
* name: 'monthly_spending',
|
||||
* source: { type: NounType.Event, where: { domain: 'financial' } },
|
||||
* groupBy: ['category', { field: 'date', window: 'month' }],
|
||||
* metrics: {
|
||||
* total: { op: 'sum', field: 'amount' },
|
||||
* count: { op: 'count' },
|
||||
* average: { op: 'avg', field: 'amount' }
|
||||
* }
|
||||
* })
|
||||
* ```
|
||||
*/
|
||||
defineAggregate(def: AggregateDefinition): void {
|
||||
this.ensureAggregationIndex()
|
||||
this._aggregationIndex!.defineAggregate(def)
|
||||
}
|
||||
|
||||
/**
|
||||
* Remove a named aggregate and clean up its state.
|
||||
*
|
||||
* @param name - Name of the aggregate to remove
|
||||
*/
|
||||
removeAggregate(name: string): void {
|
||||
if (this._aggregationIndex) {
|
||||
this._aggregationIndex.removeAggregate(name)
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Lazily create the AggregationIndex on first use.
|
||||
* Checks for a native 'aggregation' provider from plugins.
|
||||
*/
|
||||
private ensureAggregationIndex(): void {
|
||||
if (this._aggregationIndex) return
|
||||
|
||||
const nativeProvider = this.pluginRegistry.getProvider<any>('aggregation')
|
||||
this._aggregationIndex = new AggregationIndex(this.storage, nativeProvider)
|
||||
// Note: init() is async but definitions can be registered synchronously.
|
||||
// State loading happens lazily on first query.
|
||||
this._aggregationIndex.init().catch(() => {
|
||||
// Non-fatal — aggregation state will be empty but definitions still work
|
||||
})
|
||||
}
|
||||
|
||||
async find(query: string | FindParams<T>): Promise<Result<T>[]> {
|
||||
await this.ensureInitialized()
|
||||
|
||||
|
|
@ -1978,6 +2068,11 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
// Zero-config validation (static import for performance)
|
||||
validateFindParams(params)
|
||||
|
||||
// Aggregate query path — early return when params.aggregate is set
|
||||
if (params.aggregate) {
|
||||
return this.findAggregate(params)
|
||||
}
|
||||
|
||||
const startTime = Date.now()
|
||||
const result = await (async () => {
|
||||
let results: Result<T>[] = []
|
||||
|
|
@ -7127,6 +7222,66 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Execute an aggregate query, returning results as Result<T>[] for API consistency.
|
||||
*/
|
||||
private async findAggregate(params: FindParams<T>): Promise<Result<T>[]> {
|
||||
if (!this._aggregationIndex) {
|
||||
throw new Error('No aggregates defined. Call defineAggregate() first.')
|
||||
}
|
||||
|
||||
// Normalize aggregate params
|
||||
const aggParams: AggregateQueryParams = typeof params.aggregate === 'string'
|
||||
? { name: params.aggregate }
|
||||
: params.aggregate as AggregateQueryParams
|
||||
|
||||
// Merge find-level params into aggregate query
|
||||
if (params.where && !aggParams.where) {
|
||||
aggParams.where = params.where as Record<string, unknown>
|
||||
}
|
||||
if (params.orderBy && !aggParams.orderBy) {
|
||||
aggParams.orderBy = params.orderBy
|
||||
}
|
||||
if (params.order && !aggParams.order) {
|
||||
aggParams.order = params.order
|
||||
}
|
||||
if (params.limit !== undefined && aggParams.limit === undefined) {
|
||||
aggParams.limit = params.limit
|
||||
}
|
||||
if (params.offset !== undefined && aggParams.offset === undefined) {
|
||||
aggParams.offset = params.offset
|
||||
}
|
||||
|
||||
const aggregateResults = this._aggregationIndex.queryAggregate(aggParams)
|
||||
|
||||
// Convert AggregateResult[] to Result<T>[] for API consistency
|
||||
return aggregateResults.map((agg, index) => {
|
||||
const entity: Entity<T> = {
|
||||
id: agg.entityId || `__agg_${aggParams.name}_${index}`,
|
||||
vector: [],
|
||||
type: NounType.Measurement,
|
||||
data: `${aggParams.name}: ${Object.entries(agg.groupKey).map(([k, v]) => `${k}=${v}`).join(', ')}`,
|
||||
metadata: {
|
||||
...agg.groupKey,
|
||||
...agg.metrics,
|
||||
__aggregate: aggParams.name,
|
||||
count: agg.count
|
||||
} as T,
|
||||
createdAt: Date.now(),
|
||||
service: 'brainy:aggregation'
|
||||
}
|
||||
|
||||
return {
|
||||
id: entity.id,
|
||||
score: 1.0,
|
||||
type: NounType.Measurement,
|
||||
metadata: entity.metadata,
|
||||
data: entity.data,
|
||||
entity
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
/**
|
||||
* Close and cleanup
|
||||
*
|
||||
|
|
@ -7160,6 +7315,12 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
if (this.storage && typeof (this.storage as any).flushCounts === 'function') {
|
||||
await (this.storage as any).flushCounts()
|
||||
}
|
||||
})(),
|
||||
// Flush aggregation index state
|
||||
(async () => {
|
||||
if (this._aggregationIndex) {
|
||||
await this._aggregationIndex.flush()
|
||||
}
|
||||
})()
|
||||
])
|
||||
|
||||
|
|
@ -7181,6 +7342,11 @@ export class Brainy<T = any> implements BrainyInterface<T> {
|
|||
await (this.metadataIndex as any).close()
|
||||
}
|
||||
})(),
|
||||
(async () => {
|
||||
if (this._materializer) {
|
||||
this._materializer.close()
|
||||
}
|
||||
})()
|
||||
])
|
||||
|
||||
// Deactivate plugins (safe — all data flushed and resources released above)
|
||||
|
|
|
|||
|
|
@ -117,7 +117,7 @@ export class EmbeddingManager {
|
|||
|
||||
try {
|
||||
if (isBrowser()) {
|
||||
console.warn('[brainy] Browser WASM embedding engine is deprecated and will be removed in v8.0. Use Node.js/Bun with native embeddings (@soulcraft/cortex) instead.')
|
||||
console.warn('[brainy] Browser WASM embedding engine is deprecated and will be removed in v8.0. Use Node.js/Bun with native embedding providers instead.')
|
||||
}
|
||||
// Initialize WASM engine (handles all model loading)
|
||||
await this.engine.initialize()
|
||||
|
|
|
|||
14
src/index.ts
14
src/index.ts
|
|
@ -26,9 +26,21 @@ export type {
|
|||
AddParams,
|
||||
UpdateParams,
|
||||
RelateParams,
|
||||
FindParams
|
||||
FindParams,
|
||||
AggregateDefinition,
|
||||
AggregateMetricDef,
|
||||
AggregateSource,
|
||||
AggregateQueryParams,
|
||||
AggregateResult,
|
||||
AggregationOp,
|
||||
TimeWindowGranularity,
|
||||
GroupByDimension,
|
||||
AggregationProvider
|
||||
} from './types/brainy.types.js'
|
||||
|
||||
// Export Aggregation Engine
|
||||
export { AggregationIndex, AggregateMaterializer, bucketTimestamp, parseBucketRange } from './aggregation/index.js'
|
||||
|
||||
// Export zero-configuration types and enums
|
||||
export {
|
||||
// Preset names
|
||||
|
|
|
|||
|
|
@ -47,6 +47,7 @@ export interface BrainyPluginContext {
|
|||
* - 'embedBatch' — Batch embedding engine (texts[] → vectors[])
|
||||
* - 'distance' — Distance function overrides
|
||||
* - 'msgpack' — Msgpack encode/decode
|
||||
* - 'aggregation' — AggregationIndex replacement (incremental aggregates)
|
||||
*
|
||||
* Storage adapter keys:
|
||||
* - 'storage:<name>' — Custom storage adapter factory
|
||||
|
|
|
|||
|
|
@ -288,6 +288,10 @@ export interface FindParams<T = any> {
|
|||
|
||||
// Performance options
|
||||
writeOnly?: boolean // Skip validation for high-speed ingestion
|
||||
|
||||
// Aggregation
|
||||
/** Query a named aggregate definition. String shorthand or full query params. */
|
||||
aggregate?: string | AggregateQueryParams
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -679,29 +683,152 @@ export interface TraverseParams {
|
|||
limit?: number // Max nodes to visit
|
||||
}
|
||||
|
||||
// ============= Aggregation Engine Types =============
|
||||
|
||||
/**
|
||||
* Aggregation parameters
|
||||
* Supported aggregation operations
|
||||
*/
|
||||
export interface AggregateParams<T = any> {
|
||||
query?: FindParams<T> // Base query to aggregate
|
||||
groupBy: string | string[] // Fields to group by
|
||||
metrics: AggregateMetric[] // Metrics to calculate
|
||||
having?: any // Post-aggregation filters
|
||||
orderBy?: string // Sort results
|
||||
limit?: number // Max groups
|
||||
export type AggregationOp = 'sum' | 'count' | 'avg' | 'min' | 'max'
|
||||
|
||||
/**
|
||||
* Time window granularity for GROUP BY time dimensions
|
||||
*/
|
||||
export type TimeWindowGranularity =
|
||||
| 'hour' | 'day' | 'week' | 'month' | 'quarter' | 'year'
|
||||
| { seconds: number }
|
||||
|
||||
/**
|
||||
* A GROUP BY dimension — either a plain metadata field or a time-windowed field
|
||||
*/
|
||||
export type GroupByDimension = string | { field: string; window: TimeWindowGranularity }
|
||||
|
||||
/**
|
||||
* Source filter for which entities feed into an aggregate
|
||||
*/
|
||||
export interface AggregateSource {
|
||||
/** Filter by entity type(s) */
|
||||
type?: NounType | NounType[]
|
||||
/** Metadata filter (same syntax as find({ where })) */
|
||||
where?: Record<string, unknown>
|
||||
/** Multi-tenancy service filter */
|
||||
service?: string
|
||||
}
|
||||
|
||||
/**
|
||||
* Aggregate metrics
|
||||
* Full aggregate definition — registered via brain.defineAggregate()
|
||||
*/
|
||||
export type AggregateMetric =
|
||||
| 'count'
|
||||
| 'sum'
|
||||
| 'avg'
|
||||
| 'min'
|
||||
| 'max'
|
||||
| 'stddev'
|
||||
| { custom: string; field: string }
|
||||
export interface AggregateDefinition {
|
||||
/** Unique name for this aggregate (used in queries) */
|
||||
name: string
|
||||
/** Which entities contribute to this aggregate */
|
||||
source: AggregateSource
|
||||
/** Dimensions to group by */
|
||||
groupBy: GroupByDimension[]
|
||||
/** Named metrics to compute */
|
||||
metrics: Record<string, AggregateMetricDef>
|
||||
/** Control materialization of results as NounType.Measurement entities */
|
||||
materialize?: boolean | { debounceMs?: number; trackSources?: boolean }
|
||||
}
|
||||
|
||||
/**
|
||||
* Single metric definition within an aggregate
|
||||
*/
|
||||
export interface AggregateMetricDef {
|
||||
/** Aggregation operation */
|
||||
op: AggregationOp
|
||||
/** Metadata field to aggregate (required for sum/avg/min/max; optional for count) */
|
||||
field?: string
|
||||
}
|
||||
|
||||
/**
|
||||
* Internal running state for a single metric.
|
||||
* Tracks enough to compute all operations incrementally.
|
||||
*/
|
||||
export interface MetricState {
|
||||
sum: number
|
||||
count: number
|
||||
min: number
|
||||
max: number
|
||||
}
|
||||
|
||||
/**
|
||||
* Internal state for one aggregate group (one combination of group key values)
|
||||
*/
|
||||
export interface AggregateGroupState {
|
||||
/** The group key values (e.g., { category: 'food', period: '2024-01' }) */
|
||||
groupKey: Record<string, string | number>
|
||||
/** Running metric states keyed by metric name */
|
||||
metrics: Record<string, MetricState>
|
||||
/** Entity ID of the materialized Measurement entity (if materialized) */
|
||||
materializedEntityId?: string
|
||||
/** Timestamp of last update */
|
||||
lastUpdated: number
|
||||
}
|
||||
|
||||
/**
|
||||
* Query parameters for reading aggregate results
|
||||
*/
|
||||
export interface AggregateQueryParams {
|
||||
/** Name of the aggregate to query */
|
||||
name: string
|
||||
/** Filter aggregate groups by their key values */
|
||||
where?: Record<string, unknown>
|
||||
/** Sort by metric name or group key field */
|
||||
orderBy?: string
|
||||
/** Sort direction */
|
||||
order?: 'asc' | 'desc'
|
||||
/** Max results */
|
||||
limit?: number
|
||||
/** Skip N results */
|
||||
offset?: number
|
||||
}
|
||||
|
||||
/**
|
||||
* A single aggregate result row
|
||||
*/
|
||||
export interface AggregateResult {
|
||||
/** Group key values for this row */
|
||||
groupKey: Record<string, string | number>
|
||||
/** Computed metric values (derived from MetricState based on op) */
|
||||
metrics: Record<string, number>
|
||||
/** Total entity count in this group */
|
||||
count: number
|
||||
/** Entity ID of materialized Measurement (if materialized) */
|
||||
entityId?: string
|
||||
}
|
||||
|
||||
/**
|
||||
* Provider interface for Cortex-accelerated aggregation.
|
||||
* When registered as 'aggregation' provider, Brainy delegates to this.
|
||||
*/
|
||||
export interface AggregationProvider {
|
||||
/** Incrementally update aggregation state when an entity changes */
|
||||
incrementalUpdate(
|
||||
name: string,
|
||||
def: AggregateDefinition,
|
||||
entity: Record<string, unknown>,
|
||||
op: 'add' | 'update' | 'delete',
|
||||
prev?: Record<string, unknown>
|
||||
): AggregateGroupState[]
|
||||
|
||||
/** Compute the group key for a given entity */
|
||||
computeGroupKey(
|
||||
entity: Record<string, unknown>,
|
||||
groupBy: GroupByDimension[]
|
||||
): Record<string, string | number>
|
||||
|
||||
/** Rebuild an entire aggregate from scratch */
|
||||
rebuildAggregate(
|
||||
def: AggregateDefinition,
|
||||
entities: Array<Record<string, unknown>>
|
||||
): Map<string, AggregateGroupState>
|
||||
|
||||
/** Query aggregate state with filtering/sorting/pagination */
|
||||
queryAggregate(
|
||||
state: Map<string, AggregateGroupState>,
|
||||
params: AggregateQueryParams
|
||||
): AggregateResult[]
|
||||
}
|
||||
|
||||
// ============= Configuration =============
|
||||
|
||||
|
|
|
|||
|
|
@ -8,7 +8,7 @@
|
|||
*/
|
||||
|
||||
import { Vector } from '../coreTypes.js'
|
||||
import { AddParams, RelateParams, Result, Entity, FindParams, SimilarParams } from './brainy.types.js'
|
||||
import { AddParams, RelateParams, Result, Entity, FindParams, SimilarParams, AggregateDefinition } from './brainy.types.js'
|
||||
import { NounType, VerbType } from './graphTypes.js'
|
||||
import type { MigrationPreview, MigrationResult, MigrateOptions } from '../migration/types.js'
|
||||
|
||||
|
|
@ -179,4 +179,18 @@ export interface BrainyInterface<T = unknown> {
|
|||
* ```
|
||||
*/
|
||||
migrate(options?: MigrateOptions): Promise<MigrationResult | MigrationPreview>
|
||||
|
||||
/**
|
||||
* Define a named aggregate for incremental computation
|
||||
*
|
||||
* @param def - Aggregate definition (name, source filter, groupBy, metrics)
|
||||
*/
|
||||
defineAggregate(def: AggregateDefinition): void
|
||||
|
||||
/**
|
||||
* Remove a named aggregate and clean up its state
|
||||
*
|
||||
* @param name - Name of the aggregate to remove
|
||||
*/
|
||||
removeAggregate(name: string): void
|
||||
}
|
||||
Loading…
Add table
Add a link
Reference in a new issue