- Add `initMode` option to all cloud storage adapters (GCS, S3, Azure) - 'auto' (default): progressive in cloud, strict locally - 'progressive': <200ms cold starts, lazy bucket validation - 'strict': blocking validation (current behavior) - Add cloud environment auto-detection for: - Cloud Run (K_SERVICE, K_REVISION) - AWS Lambda (AWS_LAMBDA_FUNCTION_NAME) - Cloud Functions (FUNCTIONS_TARGET) - Azure Functions (AZURE_FUNCTIONS_ENVIRONMENT) - Add readiness API to Brainy class: - `brain.ready`: Promise that resolves when init() completes - `brain.isFullyInitialized()`: checks if background tasks done - `brain.awaitBackgroundInit()`: waits for background tasks - Lazy bucket validation on first write (not during init) - Background count synchronization - Update AWS/GCP deployment docs with readiness patterns 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
162 lines
No EOL
4.3 KiB
TypeScript
162 lines
No EOL
4.3 KiB
TypeScript
/**
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* BrainyInterface - Modern API Only
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*
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* This interface defines the MODERN methods from Brainy 3.0.
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* Used to break circular dependencies while enforcing modern API usage.
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*
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* NO DEPRECATED METHODS - Only clean, modern API patterns.
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*/
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import { Vector } from '../coreTypes.js'
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import { AddParams, RelateParams, Result, Entity, FindParams, SimilarParams } from './brainy.types.js'
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import { NounType, VerbType } from './graphTypes.js'
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export interface BrainyInterface<T = unknown> {
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/**
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* Initialize the database
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*/
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init(): Promise<void>
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/**
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* Promise that resolves when initialization is complete (v7.3.0+)
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* Can be awaited multiple times safely.
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*/
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readonly ready: Promise<void>
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/**
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* Check if basic initialization is complete
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*/
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readonly isInitialized: boolean
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/**
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* Check if all initialization including background tasks is complete (v7.3.0+)
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*/
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isFullyInitialized(): boolean
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/**
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* Wait for all background initialization tasks to complete (v7.3.0+)
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* For cloud storage adapters, this waits for bucket validation and count sync.
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*/
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awaitBackgroundInit(): Promise<void>
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/**
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* Modern add method - unified entity creation
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* @param params Parameters for adding entities
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* @returns The ID of the created entity
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*/
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add(params: AddParams<T>): Promise<string>
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/**
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* Modern relate method - unified relationship creation
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* @param params Parameters for creating relationships
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* @returns The ID of the created relationship
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*/
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relate(params: RelateParams<T>): Promise<string>
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/**
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* Modern find method - unified search and discovery
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* @param query Search query or parameters object
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* @returns Array of search results
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*/
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find(query: string | FindParams<T>): Promise<Result<T>[]>
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/**
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* Modern get method - retrieve entities by ID
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* @param id The entity ID to retrieve
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* @returns Entity or null if not found
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*/
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get(id: string): Promise<Entity<T> | null>
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/**
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* Modern similar method - find similar entities
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* @param params Parameters for similarity search
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* @returns Array of similar entities with scores
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*/
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similar(params: SimilarParams<T>): Promise<Result<T>[]>
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/**
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* Generate embedding vector from text
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* @param data The data to embed (text, array, or object)
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* @returns Vector representation of the data
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*/
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embed(data: any): Promise<Vector>
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/**
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* Batch embed multiple texts at once
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* @param texts Array of texts to embed
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* @returns Array of embedding vectors (384 dimensions each)
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*/
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embedBatch(texts: string[]): Promise<number[][]>
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/**
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* Calculate semantic similarity between two texts
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* @param textA First text
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* @param textB Second text
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* @returns Similarity score between 0 and 1
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*/
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similarity(textA: string, textB: string): Promise<number>
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/**
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* Get comprehensive index statistics
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* @returns Index statistics object
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*/
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indexStats(): Promise<{
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entities: number
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vectors: number
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relationships: number
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metadataFields: string[]
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memoryUsage: {
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vectors: number
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graph: number
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metadata: number
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total: number
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}
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}>
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/**
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* Get graph neighbors of an entity
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* @param entityId The entity to get neighbors for
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* @param options Optional traversal options
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* @returns Array of neighbor entity IDs
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*/
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neighbors(
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entityId: string,
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options?: {
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direction?: 'outgoing' | 'incoming' | 'both'
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depth?: number
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verbType?: VerbType
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limit?: number
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}
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): Promise<string[]>
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/**
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* Find semantic duplicates in the database
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* @param options Optional search options
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* @returns Array of duplicate groups with similarity scores
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*/
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findDuplicates(options?: {
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threshold?: number
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type?: NounType
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limit?: number
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}): Promise<Array<{
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entity: Entity<any>
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duplicates: Array<{ entity: Entity<any>; similarity: number }>
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}>>
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/**
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* Cluster entities by semantic similarity
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* @param options Optional clustering options
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* @returns Array of clusters with entities and optional centroids
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*/
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cluster(options?: {
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threshold?: number
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type?: NounType
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minClusterSize?: number
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limit?: number
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includeCentroid?: boolean
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}): Promise<Array<{
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clusterId: string
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entities: Entity<any>[]
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centroid?: number[]
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}>>
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} |