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/ * *
* Base Storage Adapter
* Provides common functionality for all storage adapters
* /
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import { GraphAdjacencyIndex } from '../graph/graphAdjacencyIndex.js'
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import {
GraphVerb ,
HNSWNoun ,
HNSWVerb ,
NounMetadata ,
VerbMetadata ,
HNSWNounWithMetadata ,
HNSWVerbWithMetadata ,
StatisticsData
} from '../coreTypes.js'
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import { BaseStorageAdapter } from './adapters/baseStorageAdapter.js'
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import { validateNounType , validateVerbType } from '../utils/typeValidation.js'
import { NounType , VerbType } from '../types/graphTypes.js'
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import { getShardIdFromUuid } from './sharding.js'
/ * *
* Storage key analysis result
* Used to determine whether a key is a system key or entity key , and its storage path
* /
interface StorageKeyInfo {
original : string
isEntity : boolean
shardId : string | null
directory : string
fullPath : string
}
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// Common directory/prefix names
// Option A: Entity-Based Directory Structure
export const ENTITIES_DIR = 'entities'
export const NOUNS_VECTOR_DIR = 'entities/nouns/vectors'
export const NOUNS_METADATA_DIR = 'entities/nouns/metadata'
export const VERBS_VECTOR_DIR = 'entities/verbs/vectors'
export const VERBS_METADATA_DIR = 'entities/verbs/metadata'
export const INDEXES_DIR = 'indexes'
export const METADATA_INDEX_DIR = 'indexes/metadata'
// Legacy paths - kept for backward compatibility during migration
export const NOUNS_DIR = 'nouns' // Legacy: now maps to entities/nouns/vectors
export const VERBS_DIR = 'verbs' // Legacy: now maps to entities/verbs/vectors
export const METADATA_DIR = 'metadata' // Legacy: now maps to entities/nouns/metadata
export const NOUN_METADATA_DIR = 'noun-metadata' // Legacy: now maps to entities/nouns/metadata
export const VERB_METADATA_DIR = 'verb-metadata' // Legacy: now maps to entities/verbs/metadata
export const INDEX_DIR = 'index' // Legacy - kept for backward compatibility
export const SYSTEM_DIR = '_system' // System config & metadata indexes
export const STATISTICS_KEY = 'statistics'
// Migration version to track compatibility
export const STORAGE_SCHEMA_VERSION = 3 // v3: Entity-Based Directory Structure (Option A)
// Configuration flag to enable new directory structure
export const USE_ENTITY_BASED_STRUCTURE = true // Set to true to use Option A structure
/ * *
* Get the appropriate directory path based on configuration
* /
export function getDirectoryPath ( entityType : 'noun' | 'verb' , dataType : 'vector' | 'metadata' ) : string {
if ( USE_ENTITY_BASED_STRUCTURE ) {
// Option A: Entity-Based Structure
if ( entityType === 'noun' ) {
return dataType === 'vector' ? NOUNS_VECTOR_DIR : NOUNS_METADATA_DIR
} else {
return dataType === 'vector' ? VERBS_VECTOR_DIR : VERBS_METADATA_DIR
}
} else {
// Legacy structure
if ( entityType === 'noun' ) {
return dataType === 'vector' ? NOUNS_DIR : METADATA_DIR
} else {
return dataType === 'vector' ? VERBS_DIR : VERB_METADATA_DIR
}
}
}
/ * *
* Base storage adapter that implements common functionality
* This is an abstract class that should be extended by specific storage adapters
* /
export abstract class BaseStorage extends BaseStorageAdapter {
protected isInitialized = false
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protected graphIndex? : GraphAdjacencyIndex
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protected readOnly = false
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/ * *
* Analyze a storage key to determine its routing and path
* @param id - The key to analyze ( UUID or system key )
* @param context - The context for the key ( noun - metadata , verb - metadata , or system )
* @returns Storage key information including path and shard ID
* @private
* /
private analyzeKey ( id : string , context : 'noun-metadata' | 'verb-metadata' | 'system' ) : StorageKeyInfo {
// System resource detection
const isSystemKey =
id . startsWith ( '__metadata_' ) ||
id . startsWith ( '__index_' ) ||
id . startsWith ( '__system_' ) ||
id . startsWith ( 'statistics_' ) ||
feat: production-ready value-based temporal field detection
Replaces unreliable field name pattern matching with DuckDB-inspired value analysis.
### Critical Bug Fix
- Fixes 618k file explosion from false positive temporal field detection
- Field name patterns like `.endsWith('at')` incorrectly flagged non-temporal fields
- Example: "cat", "bat", "hat" were treated as timestamps, creating millions of files
### New System: FieldTypeInference
- Analyzes actual data VALUES, not field names
- Unix timestamp detection: checks if numbers fall in 2000-2100 range
- ISO 8601 datetime detection: pattern matching for date strings
- 11 field types: TIMESTAMP_MS, TIMESTAMP_S, DATE_ISO8601, DATETIME_ISO8601, BOOLEAN, INTEGER, FLOAT, UUID, ARRAY, OBJECT, STRING
- Persistent caching for O(1) lookups at billion scale
- 95%+ accuracy vs 70% with pattern matching
### Architecture
- Zero configuration required
- No fallbacks - pure value-based detection only
- Progressive refinement as more data arrives
- Production patterns from DuckDB, Apache Arrow, Parquet
### Tests
- 39 comprehensive unit tests (all passing)
- Real-world scenarios including exact bug reproduction
- Full coverage: all types, cache, edge cases
### Performance
- Cache hit: 0.1-0.5ms (O(1))
- Cache miss: 5-10ms (analyze 100 samples)
- Memory: ~500 bytes per field
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-16 13:58:57 -07:00
id === 'statistics' ||
id . startsWith ( '__chunk__' ) || // Metadata index chunks (roaring bitmap data)
id . startsWith ( '__sparse_index__' ) // Metadata sparse indices (zone maps + bloom filters)
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if ( isSystemKey ) {
return {
original : id ,
isEntity : false ,
shardId : null ,
directory : SYSTEM_DIR ,
fullPath : ` ${ SYSTEM_DIR } / ${ id } .json `
}
}
// UUID validation for entity keys
const uuidRegex = /^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$/i
if ( ! uuidRegex . test ( id ) ) {
console . warn ( ` [Storage] Unknown key format: ${ id } - treating as system resource ` )
return {
original : id ,
isEntity : false ,
shardId : null ,
directory : SYSTEM_DIR ,
fullPath : ` ${ SYSTEM_DIR } / ${ id } .json `
}
}
// Valid entity UUID - apply sharding
const shardId = getShardIdFromUuid ( id )
if ( context === 'noun-metadata' ) {
return {
original : id ,
isEntity : true ,
shardId ,
directory : ` ${ NOUNS_METADATA_DIR } / ${ shardId } ` ,
fullPath : ` ${ NOUNS_METADATA_DIR } / ${ shardId } / ${ id } .json `
}
} else if ( context === 'verb-metadata' ) {
return {
original : id ,
isEntity : true ,
shardId ,
directory : ` ${ VERBS_METADATA_DIR } / ${ shardId } ` ,
fullPath : ` ${ VERBS_METADATA_DIR } / ${ shardId } / ${ id } .json `
}
} else {
// system context - but UUID format
return {
original : id ,
isEntity : false ,
shardId : null ,
directory : SYSTEM_DIR ,
fullPath : ` ${ SYSTEM_DIR } / ${ id } .json `
}
}
}
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/ * *
* Initialize the storage adapter
* This method should be implemented by each specific adapter
* /
public abstract init ( ) : Promise < void >
/ * *
* Ensure the storage adapter is initialized
* /
protected async ensureInitialized ( ) : Promise < void > {
if ( ! this . isInitialized ) {
await this . init ( )
}
}
/ * *
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* Save a noun to storage ( v4.0.0 : vector only , metadata saved separately )
* @param noun Pure HNSW vector data ( no metadata )
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* /
public async saveNoun ( noun : HNSWNoun ) : Promise < void > {
await this . ensureInitialized ( )
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// Save the HNSWNoun vector data only
// Metadata must be saved separately via saveNounMetadata()
await this . saveNoun_internal ( noun )
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}
/ * *
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* Get a noun from storage ( v4.0.0 : returns combined HNSWNounWithMetadata )
* @param id Entity ID
* @returns Combined vector + metadata or null
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* /
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public async getNoun ( id : string ) : Promise < HNSWNounWithMetadata | null > {
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await this . ensureInitialized ( )
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// Load vector and metadata separately
const vector = await this . getNoun_internal ( id )
if ( ! vector ) {
return null
}
// Load metadata
const metadata = await this . getNounMetadata ( id )
if ( ! metadata ) {
console . warn ( ` [Storage] Noun ${ id } has vector but no metadata - this should not happen in v4.0.0 ` )
return null
}
// Combine into HNSWNounWithMetadata
return {
id : vector.id ,
vector : vector.vector ,
connections : vector.connections ,
level : vector.level ,
metadata
}
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}
/ * *
* Get nouns by noun type
* @param nounType The noun type to filter by
* @returns Promise that resolves to an array of nouns of the specified noun type
* /
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public async getNounsByNounType ( nounType : string ) : Promise < HNSWNounWithMetadata [ ] > {
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await this . ensureInitialized ( )
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// Internal method returns HNSWNoun[], need to combine with metadata
const nouns = await this . getNounsByNounType_internal ( nounType )
// Combine each noun with its metadata
const nounsWithMetadata : HNSWNounWithMetadata [ ] = [ ]
for ( const noun of nouns ) {
const metadata = await this . getNounMetadata ( noun . id )
if ( metadata ) {
nounsWithMetadata . push ( {
. . . noun ,
metadata
} )
}
}
return nounsWithMetadata
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}
/ * *
* Delete a noun from storage
* /
public async deleteNoun ( id : string ) : Promise < void > {
await this . ensureInitialized ( )
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// Delete both the vector file and metadata file (2-file system)
await this . deleteNoun_internal ( id )
// Delete metadata file (if it exists)
try {
await this . deleteNounMetadata ( id )
} catch ( error ) {
// Ignore if metadata file doesn't exist
console . debug ( ` No metadata file to delete for noun ${ id } ` )
}
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}
/ * *
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* Save a verb to storage ( v4.0.0 : verb only , metadata saved separately )
fix: metadata explosion bug - 69K files reduced to ~1K
Critical fix for metadata indexing that was creating 60+ chunk files per entity.
Root cause: Vector embeddings (384-dimensional arrays) were being indexed in
metadata, causing each dimension to create a separate chunk file with numeric
field names ("0", "1", "2", etc.).
Changes:
- Modified extractIndexableFields() to exclude vector/embedding fields
- Added NEVER_INDEX set: ['vector', 'embedding', 'embeddings', 'connections']
- Added safety check to skip arrays > 10 elements
- Preserves small array indexing (tags, categories, roles)
Impact:
- Reduces metadata files from 69,429 → ~1,200 (58x reduction)
- Fixes server initialization hangs
- Fixes metadata batch loading stalling at batch 23
- Fixes VFS getDescendants() hanging with large datasets
- Fixes Graph View UI not loading
Test Results:
- 7/7 integration tests passing
- Verified: 6 chunk files for 10 entities (was 7,210 before fix)
- 611/622 unit tests passing
Files Modified:
- src/utils/metadataIndex.ts - Core fix
- src/coreTypes.ts - HNSWVerb type enforcement with VerbType enum
- src/storage/adapters/* - Include core relational fields in HNSWVerb
- src/storage/adapters/baseStorageAdapter.ts - Type enforcement (HNSWNoun, GraphVerb)
- tests/integration/metadata-vector-exclusion.test.ts - Comprehensive test coverage
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-16 16:10:31 -07:00
*
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* @param verb Pure HNSW verb with core relational fields ( verb , sourceId , targetId )
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* /
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public async saveVerb ( verb : HNSWVerb ) : Promise < void > {
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await this . ensureInitialized ( )
fix: metadata explosion bug - 69K files reduced to ~1K
Critical fix for metadata indexing that was creating 60+ chunk files per entity.
Root cause: Vector embeddings (384-dimensional arrays) were being indexed in
metadata, causing each dimension to create a separate chunk file with numeric
field names ("0", "1", "2", etc.).
Changes:
- Modified extractIndexableFields() to exclude vector/embedding fields
- Added NEVER_INDEX set: ['vector', 'embedding', 'embeddings', 'connections']
- Added safety check to skip arrays > 10 elements
- Preserves small array indexing (tags, categories, roles)
Impact:
- Reduces metadata files from 69,429 → ~1,200 (58x reduction)
- Fixes server initialization hangs
- Fixes metadata batch loading stalling at batch 23
- Fixes VFS getDescendants() hanging with large datasets
- Fixes Graph View UI not loading
Test Results:
- 7/7 integration tests passing
- Verified: 6 chunk files for 10 entities (was 7,210 before fix)
- 611/622 unit tests passing
Files Modified:
- src/utils/metadataIndex.ts - Core fix
- src/coreTypes.ts - HNSWVerb type enforcement with VerbType enum
- src/storage/adapters/* - Include core relational fields in HNSWVerb
- src/storage/adapters/baseStorageAdapter.ts - Type enforcement (HNSWNoun, GraphVerb)
- tests/integration/metadata-vector-exclusion.test.ts - Comprehensive test coverage
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-16 16:10:31 -07:00
2025-09-01 09:37:36 -07:00
// Validate verb type before saving - storage boundary protection
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validateVerbType ( verb . verb )
fix: metadata explosion bug - 69K files reduced to ~1K
Critical fix for metadata indexing that was creating 60+ chunk files per entity.
Root cause: Vector embeddings (384-dimensional arrays) were being indexed in
metadata, causing each dimension to create a separate chunk file with numeric
field names ("0", "1", "2", etc.).
Changes:
- Modified extractIndexableFields() to exclude vector/embedding fields
- Added NEVER_INDEX set: ['vector', 'embedding', 'embeddings', 'connections']
- Added safety check to skip arrays > 10 elements
- Preserves small array indexing (tags, categories, roles)
Impact:
- Reduces metadata files from 69,429 → ~1,200 (58x reduction)
- Fixes server initialization hangs
- Fixes metadata batch loading stalling at batch 23
- Fixes VFS getDescendants() hanging with large datasets
- Fixes Graph View UI not loading
Test Results:
- 7/7 integration tests passing
- Verified: 6 chunk files for 10 entities (was 7,210 before fix)
- 611/622 unit tests passing
Files Modified:
- src/utils/metadataIndex.ts - Core fix
- src/coreTypes.ts - HNSWVerb type enforcement with VerbType enum
- src/storage/adapters/* - Include core relational fields in HNSWVerb
- src/storage/adapters/baseStorageAdapter.ts - Type enforcement (HNSWNoun, GraphVerb)
- tests/integration/metadata-vector-exclusion.test.ts - Comprehensive test coverage
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-16 16:10:31 -07:00
2025-10-17 12:29:27 -07:00
// Save the HNSWVerb vector and core fields only
// Metadata must be saved separately via saveVerbMetadata()
await this . saveVerb_internal ( verb )
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}
/ * *
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* Get a verb from storage ( v4.0.0 : returns combined HNSWVerbWithMetadata )
* @param id Entity ID
* @returns Combined verb + metadata or null
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* /
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public async getVerb ( id : string ) : Promise < HNSWVerbWithMetadata | null > {
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await this . ensureInitialized ( )
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// Load verb vector and core fields
const verb = await this . getVerb_internal ( id )
if ( ! verb ) {
return null
}
// Load metadata
const metadata = await this . getVerbMetadata ( id )
if ( ! metadata ) {
console . warn ( ` [Storage] Verb ${ id } has vector but no metadata - this should not happen in v4.0.0 ` )
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return null
}
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// Combine into HNSWVerbWithMetadata
return {
id : verb.id ,
vector : verb.vector ,
connections : verb.connections ,
verb : verb.verb ,
sourceId : verb.sourceId ,
targetId : verb.targetId ,
metadata
}
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}
/ * *
* Convert HNSWVerb to GraphVerb by combining with metadata
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* DEPRECATED : For backward compatibility only . Use getVerb ( ) which returns HNSWVerbWithMetadata .
fix: metadata explosion bug - 69K files reduced to ~1K
Critical fix for metadata indexing that was creating 60+ chunk files per entity.
Root cause: Vector embeddings (384-dimensional arrays) were being indexed in
metadata, causing each dimension to create a separate chunk file with numeric
field names ("0", "1", "2", etc.).
Changes:
- Modified extractIndexableFields() to exclude vector/embedding fields
- Added NEVER_INDEX set: ['vector', 'embedding', 'embeddings', 'connections']
- Added safety check to skip arrays > 10 elements
- Preserves small array indexing (tags, categories, roles)
Impact:
- Reduces metadata files from 69,429 → ~1,200 (58x reduction)
- Fixes server initialization hangs
- Fixes metadata batch loading stalling at batch 23
- Fixes VFS getDescendants() hanging with large datasets
- Fixes Graph View UI not loading
Test Results:
- 7/7 integration tests passing
- Verified: 6 chunk files for 10 entities (was 7,210 before fix)
- 611/622 unit tests passing
Files Modified:
- src/utils/metadataIndex.ts - Core fix
- src/coreTypes.ts - HNSWVerb type enforcement with VerbType enum
- src/storage/adapters/* - Include core relational fields in HNSWVerb
- src/storage/adapters/baseStorageAdapter.ts - Type enforcement (HNSWNoun, GraphVerb)
- tests/integration/metadata-vector-exclusion.test.ts - Comprehensive test coverage
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-16 16:10:31 -07:00
*
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* @deprecated Use getVerb ( ) instead which returns HNSWVerbWithMetadata
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* /
protected async convertHNSWVerbToGraphVerb ( hnswVerb : HNSWVerb ) : Promise < GraphVerb | null > {
try {
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// Load metadata
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const metadata = await this . getVerbMetadata ( hnswVerb . id )
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// Create default timestamp in Firestore format
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const defaultTimestamp = {
seconds : Math.floor ( Date . now ( ) / 1000 ) ,
nanoseconds : ( Date . now ( ) % 1000 ) * 1000000
}
// Create default createdBy if not present
const defaultCreatedBy = {
augmentation : 'unknown' ,
version : '1.0'
}
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// Convert flexible timestamp to Firestore format for GraphVerb
const normalizeTimestamp = ( ts : any ) = > {
if ( ! ts ) return defaultTimestamp
if ( typeof ts === 'number' ) {
return {
seconds : Math.floor ( ts / 1000 ) ,
nanoseconds : ( ts % 1000 ) * 1000000
}
}
return ts
}
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return {
id : hnswVerb.id ,
vector : hnswVerb.vector ,
fix: metadata explosion bug - 69K files reduced to ~1K
Critical fix for metadata indexing that was creating 60+ chunk files per entity.
Root cause: Vector embeddings (384-dimensional arrays) were being indexed in
metadata, causing each dimension to create a separate chunk file with numeric
field names ("0", "1", "2", etc.).
Changes:
- Modified extractIndexableFields() to exclude vector/embedding fields
- Added NEVER_INDEX set: ['vector', 'embedding', 'embeddings', 'connections']
- Added safety check to skip arrays > 10 elements
- Preserves small array indexing (tags, categories, roles)
Impact:
- Reduces metadata files from 69,429 → ~1,200 (58x reduction)
- Fixes server initialization hangs
- Fixes metadata batch loading stalling at batch 23
- Fixes VFS getDescendants() hanging with large datasets
- Fixes Graph View UI not loading
Test Results:
- 7/7 integration tests passing
- Verified: 6 chunk files for 10 entities (was 7,210 before fix)
- 611/622 unit tests passing
Files Modified:
- src/utils/metadataIndex.ts - Core fix
- src/coreTypes.ts - HNSWVerb type enforcement with VerbType enum
- src/storage/adapters/* - Include core relational fields in HNSWVerb
- src/storage/adapters/baseStorageAdapter.ts - Type enforcement (HNSWNoun, GraphVerb)
- tests/integration/metadata-vector-exclusion.test.ts - Comprehensive test coverage
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-16 16:10:31 -07:00
2025-10-17 12:29:27 -07:00
// CORE FIELDS from HNSWVerb
fix: metadata explosion bug - 69K files reduced to ~1K
Critical fix for metadata indexing that was creating 60+ chunk files per entity.
Root cause: Vector embeddings (384-dimensional arrays) were being indexed in
metadata, causing each dimension to create a separate chunk file with numeric
field names ("0", "1", "2", etc.).
Changes:
- Modified extractIndexableFields() to exclude vector/embedding fields
- Added NEVER_INDEX set: ['vector', 'embedding', 'embeddings', 'connections']
- Added safety check to skip arrays > 10 elements
- Preserves small array indexing (tags, categories, roles)
Impact:
- Reduces metadata files from 69,429 → ~1,200 (58x reduction)
- Fixes server initialization hangs
- Fixes metadata batch loading stalling at batch 23
- Fixes VFS getDescendants() hanging with large datasets
- Fixes Graph View UI not loading
Test Results:
- 7/7 integration tests passing
- Verified: 6 chunk files for 10 entities (was 7,210 before fix)
- 611/622 unit tests passing
Files Modified:
- src/utils/metadataIndex.ts - Core fix
- src/coreTypes.ts - HNSWVerb type enforcement with VerbType enum
- src/storage/adapters/* - Include core relational fields in HNSWVerb
- src/storage/adapters/baseStorageAdapter.ts - Type enforcement (HNSWNoun, GraphVerb)
- tests/integration/metadata-vector-exclusion.test.ts - Comprehensive test coverage
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-16 16:10:31 -07:00
verb : hnswVerb.verb ,
sourceId : hnswVerb.sourceId ,
targetId : hnswVerb.targetId ,
// Aliases for backward compatibility
type : hnswVerb . verb ,
source : hnswVerb.sourceId ,
target : hnswVerb.targetId ,
// Optional fields from metadata file
weight : metadata?.weight || 1.0 ,
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metadata : metadata as any || { } ,
createdAt : normalizeTimestamp ( metadata ? . createdAt ) ,
updatedAt : normalizeTimestamp ( metadata ? . updatedAt ) ,
fix: metadata explosion bug - 69K files reduced to ~1K
Critical fix for metadata indexing that was creating 60+ chunk files per entity.
Root cause: Vector embeddings (384-dimensional arrays) were being indexed in
metadata, causing each dimension to create a separate chunk file with numeric
field names ("0", "1", "2", etc.).
Changes:
- Modified extractIndexableFields() to exclude vector/embedding fields
- Added NEVER_INDEX set: ['vector', 'embedding', 'embeddings', 'connections']
- Added safety check to skip arrays > 10 elements
- Preserves small array indexing (tags, categories, roles)
Impact:
- Reduces metadata files from 69,429 → ~1,200 (58x reduction)
- Fixes server initialization hangs
- Fixes metadata batch loading stalling at batch 23
- Fixes VFS getDescendants() hanging with large datasets
- Fixes Graph View UI not loading
Test Results:
- 7/7 integration tests passing
- Verified: 6 chunk files for 10 entities (was 7,210 before fix)
- 611/622 unit tests passing
Files Modified:
- src/utils/metadataIndex.ts - Core fix
- src/coreTypes.ts - HNSWVerb type enforcement with VerbType enum
- src/storage/adapters/* - Include core relational fields in HNSWVerb
- src/storage/adapters/baseStorageAdapter.ts - Type enforcement (HNSWNoun, GraphVerb)
- tests/integration/metadata-vector-exclusion.test.ts - Comprehensive test coverage
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-16 16:10:31 -07:00
createdBy : metadata?.createdBy || defaultCreatedBy ,
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data : metadata?.data as Record < string , any > | undefined ,
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embedding : hnswVerb.vector
}
} catch ( error ) {
console . error ( ` Failed to convert HNSWVerb to GraphVerb for ${ hnswVerb . id } : ` , error )
return null
}
}
/ * *
* Internal method for loading all verbs - used by performance optimizations
* @internal - Do not use directly , use getVerbs ( ) with pagination instead
* /
protected async _loadAllVerbsForOptimization ( ) : Promise < HNSWVerb [ ] > {
await this . ensureInitialized ( )
fix: metadata explosion bug - 69K files reduced to ~1K
Critical fix for metadata indexing that was creating 60+ chunk files per entity.
Root cause: Vector embeddings (384-dimensional arrays) were being indexed in
metadata, causing each dimension to create a separate chunk file with numeric
field names ("0", "1", "2", etc.).
Changes:
- Modified extractIndexableFields() to exclude vector/embedding fields
- Added NEVER_INDEX set: ['vector', 'embedding', 'embeddings', 'connections']
- Added safety check to skip arrays > 10 elements
- Preserves small array indexing (tags, categories, roles)
Impact:
- Reduces metadata files from 69,429 → ~1,200 (58x reduction)
- Fixes server initialization hangs
- Fixes metadata batch loading stalling at batch 23
- Fixes VFS getDescendants() hanging with large datasets
- Fixes Graph View UI not loading
Test Results:
- 7/7 integration tests passing
- Verified: 6 chunk files for 10 entities (was 7,210 before fix)
- 611/622 unit tests passing
Files Modified:
- src/utils/metadataIndex.ts - Core fix
- src/coreTypes.ts - HNSWVerb type enforcement with VerbType enum
- src/storage/adapters/* - Include core relational fields in HNSWVerb
- src/storage/adapters/baseStorageAdapter.ts - Type enforcement (HNSWNoun, GraphVerb)
- tests/integration/metadata-vector-exclusion.test.ts - Comprehensive test coverage
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-16 16:10:31 -07:00
2025-08-26 12:32:21 -07:00
// Only use this for internal optimizations when safe
const result = await this . getVerbs ( {
pagination : { limit : Number.MAX_SAFE_INTEGER }
} )
fix: metadata explosion bug - 69K files reduced to ~1K
Critical fix for metadata indexing that was creating 60+ chunk files per entity.
Root cause: Vector embeddings (384-dimensional arrays) were being indexed in
metadata, causing each dimension to create a separate chunk file with numeric
field names ("0", "1", "2", etc.).
Changes:
- Modified extractIndexableFields() to exclude vector/embedding fields
- Added NEVER_INDEX set: ['vector', 'embedding', 'embeddings', 'connections']
- Added safety check to skip arrays > 10 elements
- Preserves small array indexing (tags, categories, roles)
Impact:
- Reduces metadata files from 69,429 → ~1,200 (58x reduction)
- Fixes server initialization hangs
- Fixes metadata batch loading stalling at batch 23
- Fixes VFS getDescendants() hanging with large datasets
- Fixes Graph View UI not loading
Test Results:
- 7/7 integration tests passing
- Verified: 6 chunk files for 10 entities (was 7,210 before fix)
- 611/622 unit tests passing
Files Modified:
- src/utils/metadataIndex.ts - Core fix
- src/coreTypes.ts - HNSWVerb type enforcement with VerbType enum
- src/storage/adapters/* - Include core relational fields in HNSWVerb
- src/storage/adapters/baseStorageAdapter.ts - Type enforcement (HNSWNoun, GraphVerb)
- tests/integration/metadata-vector-exclusion.test.ts - Comprehensive test coverage
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-16 16:10:31 -07:00
2025-10-17 12:29:27 -07:00
// v4.0.0: Convert HNSWVerbWithMetadata to HNSWVerb (strip metadata)
const hnswVerbs : HNSWVerb [ ] = result . items . map ( verbWithMetadata = > ( {
id : verbWithMetadata.id ,
vector : verbWithMetadata.vector ,
connections : verbWithMetadata.connections ,
verb : verbWithMetadata.verb ,
sourceId : verbWithMetadata.sourceId ,
targetId : verbWithMetadata.targetId
} ) )
fix: metadata explosion bug - 69K files reduced to ~1K
Critical fix for metadata indexing that was creating 60+ chunk files per entity.
Root cause: Vector embeddings (384-dimensional arrays) were being indexed in
metadata, causing each dimension to create a separate chunk file with numeric
field names ("0", "1", "2", etc.).
Changes:
- Modified extractIndexableFields() to exclude vector/embedding fields
- Added NEVER_INDEX set: ['vector', 'embedding', 'embeddings', 'connections']
- Added safety check to skip arrays > 10 elements
- Preserves small array indexing (tags, categories, roles)
Impact:
- Reduces metadata files from 69,429 → ~1,200 (58x reduction)
- Fixes server initialization hangs
- Fixes metadata batch loading stalling at batch 23
- Fixes VFS getDescendants() hanging with large datasets
- Fixes Graph View UI not loading
Test Results:
- 7/7 integration tests passing
- Verified: 6 chunk files for 10 entities (was 7,210 before fix)
- 611/622 unit tests passing
Files Modified:
- src/utils/metadataIndex.ts - Core fix
- src/coreTypes.ts - HNSWVerb type enforcement with VerbType enum
- src/storage/adapters/* - Include core relational fields in HNSWVerb
- src/storage/adapters/baseStorageAdapter.ts - Type enforcement (HNSWNoun, GraphVerb)
- tests/integration/metadata-vector-exclusion.test.ts - Comprehensive test coverage
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-16 16:10:31 -07:00
2025-08-26 12:32:21 -07:00
return hnswVerbs
}
/ * *
* Get verbs by source
* /
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public async getVerbsBySource ( sourceId : string ) : Promise < HNSWVerbWithMetadata [ ] > {
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await this . ensureInitialized ( )
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// CRITICAL: Fetch ALL verbs for this source, not just first page
// This is needed for delete operations to clean up all relationships
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const result = await this . getVerbs ( {
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filter : { sourceId } ,
pagination : { limit : Number.MAX_SAFE_INTEGER }
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} )
return result . items
}
/ * *
* Get verbs by target
* /
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public async getVerbsByTarget ( targetId : string ) : Promise < HNSWVerbWithMetadata [ ] > {
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await this . ensureInitialized ( )
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// CRITICAL: Fetch ALL verbs for this target, not just first page
// This is needed for delete operations to clean up all relationships
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const result = await this . getVerbs ( {
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filter : { targetId } ,
pagination : { limit : Number.MAX_SAFE_INTEGER }
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} )
return result . items
}
/ * *
* Get verbs by type
* /
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public async getVerbsByType ( type : string ) : Promise < HNSWVerbWithMetadata [ ] > {
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await this . ensureInitialized ( )
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// Fetch ALL verbs of this type (no pagination limit)
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const result = await this . getVerbs ( {
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filter : { verbType : type } ,
pagination : { limit : Number.MAX_SAFE_INTEGER }
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} )
return result . items
}
/ * *
* Internal method for loading all nouns - used by performance optimizations
* @internal - Do not use directly , use getNouns ( ) with pagination instead
* /
protected async _loadAllNounsForOptimization ( ) : Promise < HNSWNoun [ ] > {
await this . ensureInitialized ( )
// Only use this for internal optimizations when safe
const result = await this . getNouns ( {
pagination : { limit : Number.MAX_SAFE_INTEGER }
} )
return result . items
}
/ * *
* Get nouns with pagination and filtering
* @param options Pagination and filtering options
* @returns Promise that resolves to a paginated result of nouns
* /
public async getNouns ( options ? : {
pagination ? : {
offset? : number
limit? : number
cursor? : string
}
filter ? : {
nounType? : string | string [ ]
service? : string | string [ ]
metadata? : Record < string , any >
}
} ) : Promise < {
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items : HNSWNounWithMetadata [ ]
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totalCount? : number
hasMore : boolean
nextCursor? : string
} > {
await this . ensureInitialized ( )
// Set default pagination values
const pagination = options ? . pagination || { }
const limit = pagination . limit || 100
const offset = pagination . offset || 0
const cursor = pagination . cursor
// Optimize for common filter cases to avoid loading all nouns
if ( options ? . filter ) {
// If filtering by nounType only, use the optimized method
if (
options . filter . nounType &&
! options . filter . service &&
! options . filter . metadata
) {
const nounType = Array . isArray ( options . filter . nounType )
? options . filter . nounType [ 0 ]
: options . filter . nounType
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// Get nouns by type directly (already combines with metadata)
const nounsByType = await this . getNounsByNounType ( nounType )
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// Apply pagination
const paginatedNouns = nounsByType . slice ( offset , offset + limit )
const hasMore = offset + limit < nounsByType . length
// Set next cursor if there are more items
let nextCursor : string | undefined = undefined
if ( hasMore && paginatedNouns . length > 0 ) {
const lastItem = paginatedNouns [ paginatedNouns . length - 1 ]
nextCursor = lastItem . id
}
return {
items : paginatedNouns ,
totalCount : nounsByType.length ,
hasMore ,
nextCursor
}
}
}
// For more complex filtering or no filtering, use a paginated approach
// that avoids loading all nouns into memory at once
try {
// First, try to get a count of total nouns (if the adapter supports it)
let totalCount : number | undefined = undefined
try {
// This is an optional method that adapters may implement
if ( typeof ( this as any ) . countNouns === 'function' ) {
totalCount = await ( this as any ) . countNouns ( options ? . filter )
}
} catch ( countError ) {
// Ignore errors from count method, it's optional
console . warn ( 'Error getting noun count:' , countError )
}
// Check if the adapter has a paginated method for getting nouns
if ( typeof ( this as any ) . getNounsWithPagination === 'function' ) {
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// Use the adapter's paginated method - pass offset directly to adapter
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const result = await ( this as any ) . getNounsWithPagination ( {
limit ,
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offset , // Let the adapter handle offset for O(1) operation
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cursor ,
filter : options?.filter
} )
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// Don't slice here - the adapter should handle offset efficiently
const items = result . items
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// CRITICAL SAFETY CHECK: Prevent infinite loops
// If we have no items but hasMore is true, force hasMore to false
// This prevents pagination bugs from causing infinite loops
const safeHasMore = items . length > 0 ? result.hasMore : false
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// VALIDATION: Ensure adapter returns totalCount (prevents restart bugs)
// If adapter forgets to return totalCount, log warning and use pre-calculated count
let finalTotalCount = result . totalCount || totalCount
if ( result . totalCount === undefined && this . totalNounCount > 0 ) {
console . warn (
` ⚠️ Storage adapter missing totalCount in getNounsWithPagination result! ` +
` Using pre-calculated count ( ${ this . totalNounCount } ) as fallback. ` +
` Please ensure your storage adapter returns totalCount: this.totalNounCount `
)
finalTotalCount = this . totalNounCount
}
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return {
items ,
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totalCount : finalTotalCount ,
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hasMore : safeHasMore ,
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nextCursor : result.nextCursor
}
}
// Storage adapter does not support pagination
console . error (
'Storage adapter does not support pagination. The deprecated getAllNouns_internal() method has been removed. Please implement getNounsWithPagination() in your storage adapter.'
)
return {
items : [ ] ,
totalCount : 0 ,
hasMore : false
}
} catch ( error ) {
console . error ( 'Error getting nouns with pagination:' , error )
return {
items : [ ] ,
totalCount : 0 ,
hasMore : false
}
}
}
/ * *
* Get verbs with pagination and filtering
* @param options Pagination and filtering options
* @returns Promise that resolves to a paginated result of verbs
* /
public async getVerbs ( options ? : {
pagination ? : {
offset? : number
limit? : number
cursor? : string
}
filter ? : {
verbType? : string | string [ ]
sourceId? : string | string [ ]
targetId? : string | string [ ]
service? : string | string [ ]
metadata? : Record < string , any >
}
} ) : Promise < {
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items : HNSWVerbWithMetadata [ ]
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totalCount? : number
hasMore : boolean
nextCursor? : string
} > {
await this . ensureInitialized ( )
// Set default pagination values
const pagination = options ? . pagination || { }
const limit = pagination . limit || 100
const offset = pagination . offset || 0
const cursor = pagination . cursor
// Optimize for common filter cases to avoid loading all verbs
if ( options ? . filter ) {
// If filtering by sourceId only, use the optimized method
if (
options . filter . sourceId &&
! options . filter . verbType &&
! options . filter . targetId &&
! options . filter . service &&
! options . filter . metadata
) {
const sourceId = Array . isArray ( options . filter . sourceId )
? options . filter . sourceId [ 0 ]
: options . filter . sourceId
// Get verbs by source directly
const verbsBySource = await this . getVerbsBySource_internal ( sourceId )
// Apply pagination
const paginatedVerbs = verbsBySource . slice ( offset , offset + limit )
const hasMore = offset + limit < verbsBySource . length
// Set next cursor if there are more items
let nextCursor : string | undefined = undefined
if ( hasMore && paginatedVerbs . length > 0 ) {
const lastItem = paginatedVerbs [ paginatedVerbs . length - 1 ]
nextCursor = lastItem . id
}
return {
items : paginatedVerbs ,
totalCount : verbsBySource.length ,
hasMore ,
nextCursor
}
}
// If filtering by targetId only, use the optimized method
if (
options . filter . targetId &&
! options . filter . verbType &&
! options . filter . sourceId &&
! options . filter . service &&
! options . filter . metadata
) {
const targetId = Array . isArray ( options . filter . targetId )
? options . filter . targetId [ 0 ]
: options . filter . targetId
// Get verbs by target directly
const verbsByTarget = await this . getVerbsByTarget_internal ( targetId )
// Apply pagination
const paginatedVerbs = verbsByTarget . slice ( offset , offset + limit )
const hasMore = offset + limit < verbsByTarget . length
// Set next cursor if there are more items
let nextCursor : string | undefined = undefined
if ( hasMore && paginatedVerbs . length > 0 ) {
const lastItem = paginatedVerbs [ paginatedVerbs . length - 1 ]
nextCursor = lastItem . id
}
return {
items : paginatedVerbs ,
totalCount : verbsByTarget.length ,
hasMore ,
nextCursor
}
}
// If filtering by verbType only, use the optimized method
if (
options . filter . verbType &&
! options . filter . sourceId &&
! options . filter . targetId &&
! options . filter . service &&
! options . filter . metadata
) {
const verbType = Array . isArray ( options . filter . verbType )
? options . filter . verbType [ 0 ]
: options . filter . verbType
// Get verbs by type directly
const verbsByType = await this . getVerbsByType_internal ( verbType )
// Apply pagination
const paginatedVerbs = verbsByType . slice ( offset , offset + limit )
const hasMore = offset + limit < verbsByType . length
// Set next cursor if there are more items
let nextCursor : string | undefined = undefined
if ( hasMore && paginatedVerbs . length > 0 ) {
const lastItem = paginatedVerbs [ paginatedVerbs . length - 1 ]
nextCursor = lastItem . id
}
return {
items : paginatedVerbs ,
totalCount : verbsByType.length ,
hasMore ,
nextCursor
}
}
}
// For more complex filtering or no filtering, use a paginated approach
// that avoids loading all verbs into memory at once
try {
// First, try to get a count of total verbs (if the adapter supports it)
let totalCount : number | undefined = undefined
try {
// This is an optional method that adapters may implement
if ( typeof ( this as any ) . countVerbs === 'function' ) {
totalCount = await ( this as any ) . countVerbs ( options ? . filter )
}
} catch ( countError ) {
// Ignore errors from count method, it's optional
console . warn ( 'Error getting verb count:' , countError )
}
// Check if the adapter has a paginated method for getting verbs
if ( typeof ( this as any ) . getVerbsWithPagination === 'function' ) {
// Use the adapter's paginated method
const result = await ( this as any ) . getVerbsWithPagination ( {
limit ,
cursor ,
filter : options?.filter
} )
// Apply offset if needed (some adapters might not support offset)
const items = result . items . slice ( offset )
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// CRITICAL SAFETY CHECK: Prevent infinite loops
// If we have no items but hasMore is true, force hasMore to false
// This prevents pagination bugs from causing infinite loops
const safeHasMore = items . length > 0 ? result.hasMore : false
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// VALIDATION: Ensure adapter returns totalCount (prevents restart bugs)
// If adapter forgets to return totalCount, log warning and use pre-calculated count
let finalTotalCount = result . totalCount || totalCount
if ( result . totalCount === undefined && this . totalVerbCount > 0 ) {
console . warn (
` ⚠️ Storage adapter missing totalCount in getVerbsWithPagination result! ` +
` Using pre-calculated count ( ${ this . totalVerbCount } ) as fallback. ` +
` Please ensure your storage adapter returns totalCount: this.totalVerbCount `
)
finalTotalCount = this . totalVerbCount
}
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return {
items ,
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totalCount : finalTotalCount ,
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hasMore : safeHasMore ,
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nextCursor : result.nextCursor
}
}
// Storage adapter does not support pagination
console . error (
'Storage adapter does not support pagination. The deprecated getAllVerbs_internal() method has been removed. Please implement getVerbsWithPagination() in your storage adapter.'
)
return {
items : [ ] ,
totalCount : 0 ,
hasMore : false
}
} catch ( error ) {
console . error ( 'Error getting verbs with pagination:' , error )
return {
items : [ ] ,
totalCount : 0 ,
hasMore : false
}
}
}
/ * *
* Delete a verb from storage
* /
public async deleteVerb ( id : string ) : Promise < void > {
await this . ensureInitialized ( )
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// Delete both the vector file and metadata file (2-file system)
await this . deleteVerb_internal ( id )
// Delete metadata file (if it exists)
try {
await this . deleteVerbMetadata ( id )
} catch ( error ) {
// Ignore if metadata file doesn't exist
console . debug ( ` No metadata file to delete for verb ${ id } ` )
}
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}
/ * *
* Get graph index ( lazy initialization )
* /
async getGraphIndex ( ) : Promise < GraphAdjacencyIndex > {
if ( ! this . graphIndex ) {
console . log ( 'Initializing GraphAdjacencyIndex...' )
this . graphIndex = new GraphAdjacencyIndex ( this )
// Check if we need to rebuild from existing data
const sampleVerbs = await this . getVerbs ( { pagination : { limit : 1 } } )
if ( sampleVerbs . items . length > 0 ) {
console . log ( 'Found existing verbs, rebuilding graph index...' )
await this . graphIndex . rebuild ( )
}
}
return this . graphIndex
}
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/ * *
* Clear all data from storage
* This method should be implemented by each specific adapter
* /
public abstract clear ( ) : Promise < void >
/ * *
* Get information about storage usage and capacity
* This method should be implemented by each specific adapter
* /
public abstract getStorageStatus ( ) : Promise < {
type : string
used : number
quota : number | null
details? : Record < string , any >
} >
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/ * *
* Write a JSON object to a specific path in storage
* This is a primitive operation that all adapters must implement
* @param path - Full path including filename ( e . g . , "_system/statistics.json" or "entities/nouns/metadata/3f/3fa85f64-....json" )
* @param data - Data to write ( will be JSON . stringify ' d )
* @protected
* /
protected abstract writeObjectToPath ( path : string , data : any ) : Promise < void >
/ * *
* Read a JSON object from a specific path in storage
* This is a primitive operation that all adapters must implement
* @param path - Full path including filename
* @returns The parsed JSON object , or null if not found
* @protected
* /
protected abstract readObjectFromPath ( path : string ) : Promise < any | null >
/ * *
* Delete an object from a specific path in storage
* This is a primitive operation that all adapters must implement
* @param path - Full path including filename
* @protected
* /
protected abstract deleteObjectFromPath ( path : string ) : Promise < void >
/ * *
* List all object paths under a given prefix
* This is a primitive operation that all adapters must implement
* @param prefix - Directory prefix to list ( e . g . , "entities/nouns/metadata/3f/" )
* @returns Array of full paths
* @protected
* /
protected abstract listObjectsUnderPath ( prefix : string ) : Promise < string [ ] >
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/ * *
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* Save metadata to storage ( v4.0.0 : now typed )
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* Routes to correct location ( system or entity ) based on key format
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* /
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public async saveMetadata ( id : string , metadata : NounMetadata ) : Promise < void > {
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await this . ensureInitialized ( )
const keyInfo = this . analyzeKey ( id , 'system' )
return this . writeObjectToPath ( keyInfo . fullPath , metadata )
}
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/ * *
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* Get metadata from storage ( v4.0.0 : now typed )
2025-10-09 13:10:06 -07:00
* Routes to correct location ( system or entity ) based on key format
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* /
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public async getMetadata ( id : string ) : Promise < NounMetadata | null > {
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await this . ensureInitialized ( )
const keyInfo = this . analyzeKey ( id , 'system' )
return this . readObjectFromPath ( keyInfo . fullPath )
}
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/ * *
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* Save noun metadata to storage ( v4.0.0 : now typed )
2025-10-09 13:10:06 -07:00
* Routes to correct sharded location based on UUID
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* /
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public async saveNounMetadata ( id : string , metadata : NounMetadata ) : Promise < void > {
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// Validate noun type in metadata - storage boundary protection
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validateNounType ( metadata . noun )
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return this . saveNounMetadata_internal ( id , metadata )
}
/ * *
2025-10-17 12:29:27 -07:00
* Internal method for saving noun metadata ( v4.0.0 : now typed )
2025-10-09 13:10:06 -07:00
* Uses routing logic to handle both UUIDs ( sharded ) and system keys ( unsharded )
fix(storage): resolve count synchronization race condition across all storage adapters
Fixed critical bug where entity and relationship counts were not being tracked correctly
during add(), relate(), and import() operations. The root cause was a race condition where
count increment code tried to read metadata before it was saved to storage.
Core Fixes:
- Modified baseStorage.saveNounMetadata_internal to increment counts AFTER metadata is saved
- Modified baseStorage.saveVerbMetadata_internal to increment verb counts AFTER metadata is saved
- Added verb type to VerbMetadata to avoid circular dependency during count tracking
- Refactored verb count methods to prevent mutex deadlocks (synchronous base + async Safe wrapper)
Storage Adapter Cleanup:
- Removed broken count increment code from FileSystemStorage, GcsStorage, R2Storage, AzureBlobStorage
- Updated MemoryStorage comments to reflect centralized fix
- All count tracking now centralized in baseStorage (fixes ALL adapters automatically)
New Utilities:
- Added rebuildCounts utility to repair corrupted counts.json from actual storage data
- Added comprehensive integration tests for count synchronization across all operations
Verification:
- All 8 storage adapters verified (FileSystem, GCS, Memory, S3Compatible, R2, Azure, OPFS, TypeAware)
- All code paths verified (add, relate, import, batch, update, delete)
- 599 tests passing (no regressions)
- No deadlocks (tests complete in 6s vs 150s+)
Fixes #1 and #2 reported by Workshop team
2025-10-21 10:58:44 -07:00
*
* CRITICAL ( v4 . 1.2 ) : Count synchronization happens here
* This ensures counts are updated AFTER metadata exists , fixing the race condition
* where storage adapters tried to read metadata before it was saved .
*
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* @protected
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* /
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protected async saveNounMetadata_internal ( id : string , metadata : NounMetadata ) : Promise < void > {
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await this . ensureInitialized ( )
fix(storage): resolve count synchronization race condition across all storage adapters
Fixed critical bug where entity and relationship counts were not being tracked correctly
during add(), relate(), and import() operations. The root cause was a race condition where
count increment code tried to read metadata before it was saved to storage.
Core Fixes:
- Modified baseStorage.saveNounMetadata_internal to increment counts AFTER metadata is saved
- Modified baseStorage.saveVerbMetadata_internal to increment verb counts AFTER metadata is saved
- Added verb type to VerbMetadata to avoid circular dependency during count tracking
- Refactored verb count methods to prevent mutex deadlocks (synchronous base + async Safe wrapper)
Storage Adapter Cleanup:
- Removed broken count increment code from FileSystemStorage, GcsStorage, R2Storage, AzureBlobStorage
- Updated MemoryStorage comments to reflect centralized fix
- All count tracking now centralized in baseStorage (fixes ALL adapters automatically)
New Utilities:
- Added rebuildCounts utility to repair corrupted counts.json from actual storage data
- Added comprehensive integration tests for count synchronization across all operations
Verification:
- All 8 storage adapters verified (FileSystem, GCS, Memory, S3Compatible, R2, Azure, OPFS, TypeAware)
- All code paths verified (add, relate, import, batch, update, delete)
- 599 tests passing (no regressions)
- No deadlocks (tests complete in 6s vs 150s+)
Fixes #1 and #2 reported by Workshop team
2025-10-21 10:58:44 -07:00
// Determine if this is a new entity by checking if metadata already exists
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const keyInfo = this . analyzeKey ( id , 'noun-metadata' )
fix(storage): resolve count synchronization race condition across all storage adapters
Fixed critical bug where entity and relationship counts were not being tracked correctly
during add(), relate(), and import() operations. The root cause was a race condition where
count increment code tried to read metadata before it was saved to storage.
Core Fixes:
- Modified baseStorage.saveNounMetadata_internal to increment counts AFTER metadata is saved
- Modified baseStorage.saveVerbMetadata_internal to increment verb counts AFTER metadata is saved
- Added verb type to VerbMetadata to avoid circular dependency during count tracking
- Refactored verb count methods to prevent mutex deadlocks (synchronous base + async Safe wrapper)
Storage Adapter Cleanup:
- Removed broken count increment code from FileSystemStorage, GcsStorage, R2Storage, AzureBlobStorage
- Updated MemoryStorage comments to reflect centralized fix
- All count tracking now centralized in baseStorage (fixes ALL adapters automatically)
New Utilities:
- Added rebuildCounts utility to repair corrupted counts.json from actual storage data
- Added comprehensive integration tests for count synchronization across all operations
Verification:
- All 8 storage adapters verified (FileSystem, GCS, Memory, S3Compatible, R2, Azure, OPFS, TypeAware)
- All code paths verified (add, relate, import, batch, update, delete)
- 599 tests passing (no regressions)
- No deadlocks (tests complete in 6s vs 150s+)
Fixes #1 and #2 reported by Workshop team
2025-10-21 10:58:44 -07:00
const existingMetadata = await this . readObjectFromPath ( keyInfo . fullPath )
const isNew = ! existingMetadata
// Save the metadata
await this . writeObjectToPath ( keyInfo . fullPath , metadata )
// CRITICAL FIX (v4.1.2): Increment count for new entities
// This runs AFTER metadata is saved, guaranteeing type information is available
// Uses synchronous increment since storage operations are already serialized
// Fixes Bug #1: Count synchronization failure during add() and import()
if ( isNew && metadata . noun ) {
this . incrementEntityCount ( metadata . noun )
// Persist counts asynchronously (fire and forget)
this . scheduleCountPersist ( ) . catch ( ( ) = > {
// Ignore persist errors - will retry on next operation
} )
}
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}
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/ * *
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* Get noun metadata from storage ( v4.0.0 : now typed )
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* Uses routing logic to handle both UUIDs ( sharded ) and system keys ( unsharded )
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* /
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public async getNounMetadata ( id : string ) : Promise < NounMetadata | null > {
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await this . ensureInitialized ( )
const keyInfo = this . analyzeKey ( id , 'noun-metadata' )
return this . readObjectFromPath ( keyInfo . fullPath )
}
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/ * *
* Delete noun metadata from storage
* Uses routing logic to handle both UUIDs ( sharded ) and system keys ( unsharded )
* /
public async deleteNounMetadata ( id : string ) : Promise < void > {
await this . ensureInitialized ( )
const keyInfo = this . analyzeKey ( id , 'noun-metadata' )
return this . deleteObjectFromPath ( keyInfo . fullPath )
}
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/ * *
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* Save verb metadata to storage ( v4.0.0 : now typed )
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* Routes to correct sharded location based on UUID
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* /
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public async saveVerbMetadata ( id : string , metadata : VerbMetadata ) : Promise < void > {
// Note: verb type is in HNSWVerb, not metadata
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return this . saveVerbMetadata_internal ( id , metadata )
}
/ * *
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* Internal method for saving verb metadata ( v4.0.0 : now typed )
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* Uses routing logic to handle both UUIDs ( sharded ) and system keys ( unsharded )
fix(storage): resolve count synchronization race condition across all storage adapters
Fixed critical bug where entity and relationship counts were not being tracked correctly
during add(), relate(), and import() operations. The root cause was a race condition where
count increment code tried to read metadata before it was saved to storage.
Core Fixes:
- Modified baseStorage.saveNounMetadata_internal to increment counts AFTER metadata is saved
- Modified baseStorage.saveVerbMetadata_internal to increment verb counts AFTER metadata is saved
- Added verb type to VerbMetadata to avoid circular dependency during count tracking
- Refactored verb count methods to prevent mutex deadlocks (synchronous base + async Safe wrapper)
Storage Adapter Cleanup:
- Removed broken count increment code from FileSystemStorage, GcsStorage, R2Storage, AzureBlobStorage
- Updated MemoryStorage comments to reflect centralized fix
- All count tracking now centralized in baseStorage (fixes ALL adapters automatically)
New Utilities:
- Added rebuildCounts utility to repair corrupted counts.json from actual storage data
- Added comprehensive integration tests for count synchronization across all operations
Verification:
- All 8 storage adapters verified (FileSystem, GCS, Memory, S3Compatible, R2, Azure, OPFS, TypeAware)
- All code paths verified (add, relate, import, batch, update, delete)
- 599 tests passing (no regressions)
- No deadlocks (tests complete in 6s vs 150s+)
Fixes #1 and #2 reported by Workshop team
2025-10-21 10:58:44 -07:00
*
* CRITICAL ( v4 . 1.2 ) : Count synchronization happens here
* This ensures verb counts are updated AFTER metadata exists , fixing the race condition
* where storage adapters tried to read metadata before it was saved .
*
* Note : Verb type is now stored in both HNSWVerb ( vector file ) and VerbMetadata for count tracking
*
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* @protected
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* /
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protected async saveVerbMetadata_internal ( id : string , metadata : VerbMetadata ) : Promise < void > {
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await this . ensureInitialized ( )
fix(storage): resolve count synchronization race condition across all storage adapters
Fixed critical bug where entity and relationship counts were not being tracked correctly
during add(), relate(), and import() operations. The root cause was a race condition where
count increment code tried to read metadata before it was saved to storage.
Core Fixes:
- Modified baseStorage.saveNounMetadata_internal to increment counts AFTER metadata is saved
- Modified baseStorage.saveVerbMetadata_internal to increment verb counts AFTER metadata is saved
- Added verb type to VerbMetadata to avoid circular dependency during count tracking
- Refactored verb count methods to prevent mutex deadlocks (synchronous base + async Safe wrapper)
Storage Adapter Cleanup:
- Removed broken count increment code from FileSystemStorage, GcsStorage, R2Storage, AzureBlobStorage
- Updated MemoryStorage comments to reflect centralized fix
- All count tracking now centralized in baseStorage (fixes ALL adapters automatically)
New Utilities:
- Added rebuildCounts utility to repair corrupted counts.json from actual storage data
- Added comprehensive integration tests for count synchronization across all operations
Verification:
- All 8 storage adapters verified (FileSystem, GCS, Memory, S3Compatible, R2, Azure, OPFS, TypeAware)
- All code paths verified (add, relate, import, batch, update, delete)
- 599 tests passing (no regressions)
- No deadlocks (tests complete in 6s vs 150s+)
Fixes #1 and #2 reported by Workshop team
2025-10-21 10:58:44 -07:00
// Determine if this is a new verb by checking if metadata already exists
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const keyInfo = this . analyzeKey ( id , 'verb-metadata' )
fix(storage): resolve count synchronization race condition across all storage adapters
Fixed critical bug where entity and relationship counts were not being tracked correctly
during add(), relate(), and import() operations. The root cause was a race condition where
count increment code tried to read metadata before it was saved to storage.
Core Fixes:
- Modified baseStorage.saveNounMetadata_internal to increment counts AFTER metadata is saved
- Modified baseStorage.saveVerbMetadata_internal to increment verb counts AFTER metadata is saved
- Added verb type to VerbMetadata to avoid circular dependency during count tracking
- Refactored verb count methods to prevent mutex deadlocks (synchronous base + async Safe wrapper)
Storage Adapter Cleanup:
- Removed broken count increment code from FileSystemStorage, GcsStorage, R2Storage, AzureBlobStorage
- Updated MemoryStorage comments to reflect centralized fix
- All count tracking now centralized in baseStorage (fixes ALL adapters automatically)
New Utilities:
- Added rebuildCounts utility to repair corrupted counts.json from actual storage data
- Added comprehensive integration tests for count synchronization across all operations
Verification:
- All 8 storage adapters verified (FileSystem, GCS, Memory, S3Compatible, R2, Azure, OPFS, TypeAware)
- All code paths verified (add, relate, import, batch, update, delete)
- 599 tests passing (no regressions)
- No deadlocks (tests complete in 6s vs 150s+)
Fixes #1 and #2 reported by Workshop team
2025-10-21 10:58:44 -07:00
const existingMetadata = await this . readObjectFromPath ( keyInfo . fullPath )
const isNew = ! existingMetadata
// Save the metadata
await this . writeObjectToPath ( keyInfo . fullPath , metadata )
// CRITICAL FIX (v4.1.2): Increment verb count for new relationships
// This runs AFTER metadata is saved
// Verb type is now stored in metadata (as of v4.1.2) to avoid loading HNSWVerb
// Uses synchronous increment since storage operations are already serialized
// Fixes Bug #2: Count synchronization failure during relate() and import()
if ( isNew && ( metadata as any ) . verb ) {
this . incrementVerbCount ( ( metadata as any ) . verb )
// Persist counts asynchronously (fire and forget)
this . scheduleCountPersist ( ) . catch ( ( ) = > {
// Ignore persist errors - will retry on next operation
} )
}
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}
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/ * *
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* Get verb metadata from storage ( v4.0.0 : now typed )
2025-10-09 13:10:06 -07:00
* Uses routing logic to handle both UUIDs ( sharded ) and system keys ( unsharded )
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* /
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public async getVerbMetadata ( id : string ) : Promise < VerbMetadata | null > {
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await this . ensureInitialized ( )
const keyInfo = this . analyzeKey ( id , 'verb-metadata' )
return this . readObjectFromPath ( keyInfo . fullPath )
}
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/ * *
* Delete verb metadata from storage
* Uses routing logic to handle both UUIDs ( sharded ) and system keys ( unsharded )
* /
public async deleteVerbMetadata ( id : string ) : Promise < void > {
await this . ensureInitialized ( )
const keyInfo = this . analyzeKey ( id , 'verb-metadata' )
return this . deleteObjectFromPath ( keyInfo . fullPath )
}
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/ * *
* Save a noun to storage
* This method should be implemented by each specific adapter
* /
protected abstract saveNoun_internal ( noun : HNSWNoun ) : Promise < void >
/ * *
* Get a noun from storage
* This method should be implemented by each specific adapter
* /
protected abstract getNoun_internal ( id : string ) : Promise < HNSWNoun | null >
/ * *
* Get nouns by noun type
* This method should be implemented by each specific adapter
* /
protected abstract getNounsByNounType_internal (
nounType : string
) : Promise < HNSWNoun [ ] >
/ * *
* Delete a noun from storage
* This method should be implemented by each specific adapter
* /
protected abstract deleteNoun_internal ( id : string ) : Promise < void >
/ * *
* Save a verb to storage
* This method should be implemented by each specific adapter
* /
protected abstract saveVerb_internal ( verb : HNSWVerb ) : Promise < void >
/ * *
* Get a verb from storage
* This method should be implemented by each specific adapter
* /
protected abstract getVerb_internal ( id : string ) : Promise < HNSWVerb | null >
/ * *
* Get verbs by source
* This method should be implemented by each specific adapter
* /
protected abstract getVerbsBySource_internal (
sourceId : string
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) : Promise < HNSWVerbWithMetadata [ ] >
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/ * *
* Get verbs by target
* This method should be implemented by each specific adapter
* /
protected abstract getVerbsByTarget_internal (
targetId : string
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) : Promise < HNSWVerbWithMetadata [ ] >
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/ * *
* Get verbs by type
* This method should be implemented by each specific adapter
* /
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protected abstract getVerbsByType_internal ( type : string ) : Promise < HNSWVerbWithMetadata [ ] >
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/ * *
* Delete a verb from storage
* This method should be implemented by each specific adapter
* /
protected abstract deleteVerb_internal ( id : string ) : Promise < void >
/ * *
* Helper method to convert a Map to a plain object for serialization
* /
protected mapToObject < K extends string | number , V > (
map : Map < K , V > ,
valueTransformer : ( value : V ) = > any = ( v ) = > v
) : Record < string , any > {
const obj : Record < string , any > = { }
for ( const [ key , value ] of map . entries ( ) ) {
obj [ key . toString ( ) ] = valueTransformer ( value )
}
return obj
}
/ * *
* Save statistics data to storage ( public interface )
* @param statistics The statistics data to save
* /
public async saveStatistics ( statistics : StatisticsData ) : Promise < void > {
return this . saveStatisticsData ( statistics )
}
/ * *
* Get statistics data from storage ( public interface )
* @returns Promise that resolves to the statistics data or null if not found
* /
public async getStatistics ( ) : Promise < StatisticsData | null > {
return this . getStatisticsData ( )
}
/ * *
* Save statistics data to storage
* This method should be implemented by each specific adapter
* @param statistics The statistics data to save
* /
protected abstract saveStatisticsData (
statistics : StatisticsData
) : Promise < void >
/ * *
* Get statistics data from storage
* This method should be implemented by each specific adapter
* @returns Promise that resolves to the statistics data or null if not found
* /
protected abstract getStatisticsData ( ) : Promise < StatisticsData | null >
}