/**
 * Base Storage Adapter
 * Provides common functionality for all storage adapters
 */

import { GraphAdjacencyIndex } from '../graph/graphAdjacencyIndex.js'
import type { GraphEntityIdResolver } from '../graph/graphAdjacencyIndex.js'

import {
  GraphVerb,
  HNSWNoun,
  HNSWVerb,
  NounMetadata,
  VerbMetadata,
  HNSWNounWithMetadata,
  HNSWVerbWithMetadata,
  StatisticsData
} from '../coreTypes.js'
import { BaseStorageAdapter } from './adapters/baseStorageAdapter.js'
import { validateNounType, validateVerbType } from '../utils/typeValidation.js'
import {
  NounType,
  VerbType,
  TypeUtils,
  NOUN_TYPE_COUNT,
  VERB_TYPE_COUNT
} from '../types/graphTypes.js'
import { getShardId } from './sharding.js'
import { BlobStorage, type BlobStoreAdapter } from './blobStorage.js'
import { unwrapBinaryData } from './binaryDataCodec.js'
import { prodLog } from '../utils/logger.js'
import { BrainyError } from '../errors/brainyError.js'
import { MetadataWriteBuffer } from '../utils/metadataWriteBuffer.js'
import {
  splitNounMetadataRecord,
  splitVerbMetadataRecord
} from '../types/reservedFields.js'

/**
 * Normalize a stored timestamp value to epoch milliseconds. Brainy 8.0 writes
 * plain numbers; records written by pre-8.0 cloud adapters may carry the
 * `{ seconds, nanoseconds }` object form. Anything else falls back to now —
 * matching the long-standing `|| Date.now()` combine behavior.
 * @param value - The raw `createdAt`/`updatedAt` value from a stored metadata record.
 * @returns Epoch milliseconds.
 */
function normalizeStoredTimestamp(value: unknown): number {
  if (typeof value === 'number' && value > 0) {
    return value
  }
  if (
    value !== null &&
    typeof value === 'object' &&
    typeof (value as { seconds?: unknown }).seconds === 'number'
  ) {
    return (value as { seconds: number }).seconds * 1000
  }
  return Date.now()
}

/**
 * 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
}

/**
 * Storage adapter batch configuration profile
 * Each storage adapter declares its optimal batch behavior for rate limiting
 * and performance optimization
 *
 */
export interface StorageBatchConfig {
  /** Maximum items per batch */
  maxBatchSize: number

  /** Delay between batches in milliseconds (for rate limiting) */
  batchDelayMs: number

  /** Maximum concurrent operations this storage can handle */
  maxConcurrent: number

  /** Whether storage can handle parallel writes efficiently */
  supportsParallelWrites: boolean

  /** Rate limit characteristics of this storage adapter */
  rateLimit: {
    /** Approximate operations per second this storage can handle */
    operationsPerSecond: number

    /** Maximum burst capacity before throttling occurs */
    burstCapacity: number
  }
}

// Clean directory structure
// All storage adapters use this consistent structure
export const NOUNS_METADATA_DIR = 'entities/nouns/metadata'
export const VERBS_METADATA_DIR = 'entities/verbs/metadata'
export const SYSTEM_DIR = '_system'
export const STATISTICS_KEY = 'statistics'

/**
 * Metadata persisted in the writer lock file. Used by stale-lock detection
 * (PID liveness + hostname + heartbeat freshness) and by `brain.stats()` for
 * operator-facing diagnostics.
 */
export interface WriterLockInfo {
  pid: number
  hostname: string
  startedAt: string          // ISO timestamp when the lock was first acquired
  lastHeartbeat: string      // ISO timestamp of the most recent heartbeat update
  version: string            // Brainy version that wrote the lock
  rootDir?: string           // Convenience for log lines / error messages
}

/**
 * FNV-1a hash returning a 2-char hex bucket (00-ff).
 * Distributes system keys across 256 sub-prefixes to avoid
 * cloud storage per-prefix rate limits.
 */
function systemKeyBucket(key: string): string {
  let hash = 2166136261
  for (let i = 0; i < key.length; i++) {
    hash ^= key.charCodeAt(i)
    hash += (hash << 1) + (hash << 4) + (hash << 7) + (hash << 8) + (hash << 24)
  }
  return ((hash >>> 0) & 0xff).toString(16).padStart(2, '0')
}

const SINGLETON_SYSTEM_KEYS = new Set([
  '__metadata_field_registry__',
  'brainy:entityIdMapper',
  'statistics',
  'counts',
  'hnsw-system',
  'type-statistics',
])

const SINGLETON_SYSTEM_PREFIXES = [
  'statistics_',
]

function isSingletonSystemKey(key: string): boolean {
  if (SINGLETON_SYSTEM_KEYS.has(key)) return true
  return SINGLETON_SYSTEM_PREFIXES.some(p => key.startsWith(p))
}

/**
 * Type-first path generators
 * Built-in type-aware organization for all storage adapters
 */

/**
 * Get ID-first path for noun vectors
 * No type parameter needed - direct O(1) lookup by ID
 */
function getNounVectorPath(id: string): string {
  const shard = getShardId(id)
  return `entities/nouns/${shard}/${id}/vectors.json`
}

/**
 * Get ID-first path for noun metadata
 * No type parameter needed - direct O(1) lookup by ID
 */
function getNounMetadataPath(id: string): string {
  const shard = getShardId(id)
  return `entities/nouns/${shard}/${id}/metadata.json`
}

/**
 * Get ID-first path for verb vectors
 * No type parameter needed - direct O(1) lookup by ID
 */
function getVerbVectorPath(id: string): string {
  const shard = getShardId(id)
  return `entities/verbs/${shard}/${id}/vectors.json`
}

/**
 * @description Extract the entity id embedded in a vector path
 * (`entities/{nouns|verbs}/{shard}/{id}/vectors.json`). Used by the cursored
 * noun/verb walks to order and skip candidates by id WITHOUT reading each file,
 * which is what keeps a full cursored pagination O(N) instead of O(N²).
 * @param path - A vector path (full or prefix-relative; must end with `/vectors.json`).
 * @returns The entity id (the path segment immediately before `/vectors.json`).
 */
function idFromVectorPath(path: string): string {
  const withoutSuffix = path.replace(/\/vectors\.json$/, '')
  const lastSlash = withoutSuffix.lastIndexOf('/')
  return lastSlash >= 0 ? withoutSuffix.slice(lastSlash + 1) : withoutSuffix
}

/**
 * Get ID-first path for verb metadata
 * No type parameter needed - direct O(1) lookup by ID
 */
function getVerbMetadataPath(id: string): string {
  const shard = getShardId(id)
  return `entities/verbs/${shard}/${id}/metadata.json`
}

/**
 * Optional count capabilities probed via duck typing by getNouns()/getVerbs().
 * Adapters with a native O(1) count API may implement these; they are not part
 * of the BaseStorageAdapter contract, so BaseStorage feature-detects them at
 * runtime before falling back to scan-based counting.
 */
interface OptionalCountCapabilities {
  countNouns?: (filter?: {
    nounType?: string | string[]
    service?: string | string[]
    metadata?: Record<string, unknown>
  }) => Promise<number>
  countVerbs?: (filter?: {
    verbType?: string | string[]
    sourceId?: string | string[]
    targetId?: string | string[]
    service?: string | string[]
    metadata?: Record<string, unknown>
  }) => Promise<number>
}

/**
 * Whether an entity/relationship with the given visibility tier counts toward
 * the user-facing counts (`counts.json` totals, `nounCountsByType`, `stats()`).
 * Public entities (absent tier === `'public'`) are counted; `'internal'` and
 * `'system'` are excluded. Single source of truth for the count-exclusion rule.
 *
 * @param visibility - The stored visibility value (may be `undefined`/`unknown`).
 * @returns `true` when the entity should be counted, `false` for internal/system.
 */
function isCountedVisibility(visibility: unknown): boolean {
  return visibility !== 'internal' && visibility !== 'system'
}

/**
 * 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
  protected graphIndex?: GraphAdjacencyIndex
  protected graphIndexPromise?: Promise<GraphAdjacencyIndex>
  /**
   * Shared UUID ↔ int resolver for the graph index's BigInt boundary.
   * Wired by Brainy via {@link setGraphEntityIdResolver}; until then the verb
   * read paths fall back to shard iteration.
   */
  protected graphEntityIdResolver?: GraphEntityIdResolver
  protected readOnly = false

  // Write-through cache for read-after-write consistency
  // Extended lifetime - persists until explicit flush() call
  // Guarantees that immediately after writeCanonicalObject(), readCanonicalObject() returns the data
  // Cache key: storage-root-relative object path
  // Cache lifetime: write start → flush() call (provides safety net for batch operations)
  // Memory footprint: Bounded by batch size (typically <1000 items during imports)
  private writeCache = new Map<string, any>()

  /**
   * Clear the write-through cache
   * MUST be called by all storage adapter clear() implementations to ensure
   * read-after-write consistency cache doesn't return stale data after clear.
   * @protected - Available to subclasses for clear() implementation
   */
  protected clearWriteCache(): void {
    this.writeCache.clear()
  }

  /**
   * Content-addressed blob store backing VFS file content (deduplicated,
   * zstd-compressed, SHA-256 addressed). Lazily created by
   * {@link initializeBlobStorage}; lives under the `_cas/` storage area.
   */
  public blobStorage?: BlobStorage

  // Type-first indexing support
  // Built into all storage adapters for billion-scale efficiency
  protected nounCountsByType = new Uint32Array(NOUN_TYPE_COUNT) // 168 bytes (Stage 3: 42 types)
  protected verbCountsByType = new Uint32Array(VERB_TYPE_COUNT) // 508 bytes (Stage 3: 127 types)

  /**
   * Per-NounType-per-subtype counts. Outer key is the NounType index (matching
   * `nounCountsByType` indexing); inner key is the subtype string. Populated
   * incrementally as entities are saved and decremented on delete; persisted
   * to `_system/subtype-statistics.json` alongside type-statistics.
   *
   * Memory: one Map entry per (type, subtype) pair actually used — typically
   * tens of inner entries per NounType in production. Sparse by design — types
   * with no subtype-bearing entities have no outer entry.
   */
  protected subtypeCountsByType = new Map<number, Map<string, number>>()

  /**
   * Per-VerbType-per-subtype counts. Verb-side mirror of `subtypeCountsByType`.
   * Outer key is the VerbType index (matching `verbCountsByType` indexing);
   * inner key is the subtype string. Populated incrementally as relationships
   * are saved and decremented on delete; persisted to
   * `_system/verb-subtype-statistics.json` (same shape as the noun-side rollup
   * — `{ counts: { [verbTypeIdx]: { [subtype]: count } }, updatedAt }`).
   */
  protected verbSubtypeCountsByType = new Map<number, Map<string, number>>()

  // Count attribution (type / subtype / visibility) is sourced directly from the
  // canonical metadata RECORD, never from id-keyed in-memory caches. The metadata
  // save/delete paths already read the prior record (`existingMetadata` on write,
  // read-before-delete on remove), so the entity's `noun`/`verb` type, `subtype`,
  // and `visibility` are in hand exactly where a count must change — there is no
  // need for a parallel O(N) `id → type/subtype/visibility` map resident on the
  // writer. The five such caches that used to live here were removed in the 8.0
  // billion-scale RAM pass; `nounCountsByType` / `verbCountsByType` (fixed
  // type-indexed Uint32Arrays) and `subtypeCountsByType` / `verbSubtypeCountsByType`
  // (bounded by distinct subtype labels) remain because they are NOT id-keyed.

  // Type caches REMOVED - ID-first paths eliminate need for type lookups!
  // With ID-first architecture, we construct paths directly from IDs: {SHARD}/{ID}/metadata.json
  // Type is just a field in the metadata, indexed by MetadataIndexManager for queries

  // Track if type counts have been rebuilt (prevent repeated rebuilds)
  private typeCountsRebuilt = false

  // Write buffer for cloud storage adapters — deduplicates rapid writes to the same path
  // FileSystem adapter does NOT use this (local writes are already fast)
  // Initialized by cloud adapters in their init() method
  protected metadataWriteBuffer: MetadataWriteBuffer | null = null

  /**
   * 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 {
    // Guard against undefined/null IDs
    if (!id || typeof id !== 'string') {
      throw new Error(`Invalid storage key: ${id} (must be a non-empty string)`)
    }

    // System resource detection
    const isSystemKey =
      id.startsWith('__metadata_') ||
      id.startsWith('__index_') ||
      id.startsWith('__system_') ||
      id.startsWith('statistics_') ||
      id === 'statistics' ||
      id.startsWith('__chunk__') ||      // Metadata index chunks (roaring bitmap data)
      id.startsWith('__sparse_index__')  // Metadata sparse indices (zone maps + bloom filters)

    if (isSystemKey) {
      if (isSingletonSystemKey(id)) {
        return {
          original: id,
          isEntity: false,
          shardId: null,
          directory: SYSTEM_DIR,
          fullPath: `${SYSTEM_DIR}/${id}.json`
        }
      }
      const bucket = systemKeyBucket(id)
      return {
        original: id,
        isEntity: false,
        shardId: bucket,
        directory: `${SYSTEM_DIR}/idx/${bucket}`,
        fullPath: `${SYSTEM_DIR}/idx/${bucket}/${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)) {
      prodLog.warn(`[Storage] Unknown key format: ${id} - treating as system resource`)
      if (isSingletonSystemKey(id)) {
        return {
          original: id,
          isEntity: false,
          shardId: null,
          directory: SYSTEM_DIR,
          fullPath: `${SYSTEM_DIR}/${id}.json`
        }
      }
      const bucket = systemKeyBucket(id)
      return {
        original: id,
        isEntity: false,
        shardId: bucket,
        directory: `${SYSTEM_DIR}/idx/${bucket}`,
        fullPath: `${SYSTEM_DIR}/idx/${bucket}/${id}.json`
      }
    }

    // Valid entity UUID - apply sharding
    const shardId = getShardId(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`
      }
    }
  }

  /**
   * Initialize the storage adapter
   * Loads type statistics for built-in type-aware indexing
   *
   * IMPORTANT: If your adapter overrides init(), call await super.init() first!
   */
  public async init(): Promise<void> {
    // CRITICAL FIX - Set flag FIRST to prevent infinite recursion
    // If any code path during initialization calls ensureInitialized(), it would
    // trigger init() again. Setting the flag immediately breaks the recursion cycle.
    this.isInitialized = true

    try {
      // Load type statistics from storage (if they exist)
      await this.loadTypeStatistics()
      await this.loadSubtypeStatistics()
      await this.loadVerbSubtypeStatistics()

      // GraphAdjacencyIndex is now SINGLETON via getGraphIndex()
      // - Removed direct creation here to fix dual-ownership bug
      // - GraphAdjacencyIndex will be created lazily on first getGraphIndex() call
      // - This ensures there's only ONE instance per storage adapter
      // - See: https://github.com/soulcraftlabs/brainy/issues/vfs-corruption
      prodLog.debug('[BaseStorage] init() complete - GraphAdjacencyIndex will be created via getGraphIndex()')
    } catch (error) {
      // Reset flag on failure to allow retry
      this.isInitialized = false
      throw error
    }
  }

  /**
   * Rebuild GraphAdjacencyIndex from existing verbs
   * Call this manually if you have existing verb data that needs to be indexed
   * @public
   */
  public async rebuildGraphIndex(): Promise<void> {
    const index = await this.getGraphIndex()
    prodLog.info('[BaseStorage] Rebuilding graph index from existing data...')
    await index.rebuild()
    prodLog.info('[BaseStorage] Graph index rebuild complete')
  }

  /**
   * Invalidate GraphAdjacencyIndex
   * Call this when clearing data to force re-creation
   * The next getGraphIndex() call will create a fresh instance and rebuild
   * @public
   */
  public invalidateGraphIndex(): void {
    if (this.graphIndex) {
      prodLog.info('[BaseStorage] Invalidating GraphAdjacencyIndex for clear()')
      // Stop any pending operations. stopAutoFlush is an optional capability
      // of plugin-provided graph indexes (duck-typed; the built-in
      // GraphAdjacencyIndex does not implement it).
      const flushable = this.graphIndex as GraphAdjacencyIndex & {
        stopAutoFlush?: () => void
      }
      if (typeof flushable.stopAutoFlush === 'function') {
        flushable.stopAutoFlush()
      }
      this.graphIndex = undefined
      this.graphIndexPromise = undefined
    }
  }

  /**
   * Set the graph index instance (used by Brainy to wire plugin-provided graph indexes).
   * This ensures getVerbsBySource() uses the fast GraphAdjacencyIndex path
   * instead of falling back to O(n) shard iteration.
   */
  public setGraphIndex(index: GraphAdjacencyIndex): void {
    this.graphIndex = index
    this.graphIndexPromise = Promise.resolve(index)
  }

  /**
   * @description Wire the shared UUID ↔ int resolver used at the graph index's
   * BigInt boundary (8.0 u64 contract). Brainy calls this with
   * `metadataIndex.getIdMapper()` after the graph index is resolved (init,
   * fork, and checkout paths). The storage layer needs it to convert UUIDs to
   * entity ints before `getVerbIdsBySource`/`getVerbIdsByTarget` calls and to
   * resolve returned verb ints back to verb-id strings. Until it's wired, the
   * verb read paths fall back to shard iteration (correct, just slower).
   * @param resolver - The shared entity-id resolver.
   * @returns Nothing.
   */
  public setGraphEntityIdResolver(resolver: GraphEntityIdResolver): void {
    this.graphEntityIdResolver = resolver
    // Thread the resolver into the JS graph index too, when present — native
    // providers carry their own mapper and don't expose this setter.
    if (this.graphIndex && typeof (this.graphIndex as GraphAdjacencyIndex).setEntityIdMapper === 'function') {
      (this.graphIndex as GraphAdjacencyIndex).setEntityIdMapper(resolver)
    }
  }

  /**
   * Ensure the storage adapter is initialized
   */
  protected async ensureInitialized(): Promise<void> {
    if (!this.isInitialized) {
      await this.init()
    }
  }

  /**
   * Whether this storage adapter enforces multi-process writer exclusion.
   * Filesystem storage returns true; cloud and memory adapters return false.
   * Brainy.init() checks this to decide whether to log a multi-process warning
   * in writer mode.
   */
  public supportsMultiProcessLocking(): boolean {
    return false
  }

  /**
   * Attempt to acquire the process-level writer lock at init time. Default
   * implementation is a no-op (multi-process safety not enforced). Filesystem
   * storage overrides this with real locking semantics.
   *
   * @param options.force - If true, overwrite any existing writer lock. Use
   *   only when stale detection cannot prove the existing lock is dead.
   * @returns Metadata about the acquired lock (or `null` if no lock was needed).
   * @throws If another live writer holds the lock and `force` is not set.
   */
  public async acquireWriterLock(options?: { force?: boolean }): Promise<WriterLockInfo | null> {
    return null
  }

  /**
   * Release the writer lock acquired by `acquireWriterLock()`. No-op if no lock
   * was held. Filesystem storage overrides this to delete the lock file and
   * stop the heartbeat timer.
   */
  public async releaseWriterLock(): Promise<void> {
    // No-op by default
  }

  /**
   * Read the current writer-lock metadata if one is held by any process. Used
   * by `brain.stats()` for diagnostics. Default returns null (no lock model).
   */
  public async readWriterLock(): Promise<WriterLockInfo | null> {
    return null
  }

  /**
   * Start watching for cross-process flush requests. The writer Brainy
   * instance calls this so that out-of-process inspectors can ask for a
   * synchronous flush before they open the store read-only. Default is a
   * no-op (non-filesystem backends have no shared filesystem to poll).
   *
   * @param onRequest - Callback invoked when a request file appears. Should
   *   call `brain.flush()` and resolve when persistence is complete.
   */
  public startFlushRequestWatcher(onRequest: () => Promise<void>): void {
    // No-op by default
  }

  /**
   * Stop the flush-request watcher started by `startFlushRequestWatcher`.
   */
  public stopFlushRequestWatcher(): void {
    // No-op by default
  }

  /**
   * Write a flush-request file and wait for the writer to acknowledge by
   * writing the corresponding response file. Returns true if a response was
   * received before the timeout, false if it timed out.
   *
   * Cross-platform RPC over the shared filesystem — no signals, so this works
   * on Windows, Linux, macOS, and inside containers without IPC config.
   */
  public async requestFlushOverFilesystem(_timeoutMs: number): Promise<boolean> {
    return false
  }

  /**
   * @description Initialize the content-addressed blob store (idempotent).
   * Creates a {@link BlobStorage} over this adapter's object primitives,
   * rooted at the `_cas/` storage area. The blob store backs VFS file
   * content: deduplicated, SHA-256 addressed, zstd-compressed where it pays.
   *
   * Called automatically during `brain.init()` (before the VFS is built) and
   * again after `clear()` re-creates the storage area.
   *
   * @returns Promise that resolves when the blob store is ready.
   */
  public async initializeBlobStorage(): Promise<void> {
    if (this.blobStorage) {
      return
    }

    // Key-value bridge: adapts this adapter's object primitives to the
    // BlobStoreAdapter interface. Key naming is an explicit type contract:
    // - 'blob-meta:<hash>' → JSON (BlobStorage metadata)
    // - 'blob:<hash>'      → binary (possibly compressed blob bytes)
    const casAdapter: BlobStoreAdapter = {
      get: async (key: string): Promise<Buffer | undefined> => {
        try {
          const data = await this.readObjectFromPath(`_cas/${key}`)
          if (data === null) {
            return undefined
          }
          // Unwraps binary data stored as {_binary: true, data: "base64..."}
          // — hash verification must run on the original content bytes.
          return unwrapBinaryData(data)
        } catch (error) {
          return undefined
        }
      },

      put: async (key: string, data: Buffer): Promise<void> => {
        // Metadata keys are always JSON; blob keys are always binary. The key
        // format decides — no content sniffing (JSON.parse guessing corrupted
        // compressed blobs that happened to parse as JSON).
        const obj = key.includes('-meta:')
          ? JSON.parse(data.toString())
          : { _binary: true, data: data.toString('base64') }

        await this.writeObjectToPath(`_cas/${key}`, obj)
      },

      delete: async (key: string): Promise<void> => {
        try {
          await this.deleteObjectFromPath(`_cas/${key}`)
        } catch (error) {
          // Ignore if doesn't exist
        }
      },

      list: async (prefix: string): Promise<string[]> => {
        try {
          // Keys are stored as files like `_cas/blob:<hash>`, so listing is
          // prefix filtering over the `_cas/` area with the area prefix
          // stripped from the returned keys.
          const allPaths = await this.listObjectsUnderPath('_cas/')
          return allPaths
            .map(p => p.replace(/^_cas\//, ''))
            .filter(key => key.startsWith(prefix))
        } catch (error: any) {
          // `_cas/` doesn't exist yet — empty store.
          return []
        }
      }
    }

    this.blobStorage = new BlobStorage(casAdapter)
  }

  /**
   * @description Write a canonical object (write-cache coherent). The object
   * lands in the write-through cache before the asynchronous write starts, so
   * {@link readCanonicalObject} returns it immediately — read-after-write
   * consistency within the process. The cache persists until `flush()`.
   *
   * @param path - Storage-root-relative object path.
   * @param data - JSON-serializable object to write.
   * @protected
   */
  protected async writeCanonicalObject(path: string, data: any): Promise<void> {
    this.writeCache.set(path, data)

    // Use write buffer if available, otherwise write directly (filesystem)
    if (this.metadataWriteBuffer) {
      await this.metadataWriteBuffer.write(path, data)
    } else {
      await this.writeObjectToPath(path, data)
    }

    // Cache is NOT cleared here - persists until flush()
    // This provides a safety net for immediate queries after batch writes
  }

  /**
   * @description Read a canonical object: write cache first (synchronous,
   * guarantees read-after-write consistency), then the adapter.
   *
   * @param path - Storage-root-relative object path.
   * @returns The object, or `null` when absent.
   * @protected
   */
  protected async readCanonicalObject(path: string): Promise<any | null> {
    const cachedData = this.writeCache.get(path)
    if (cachedData !== undefined) {
      return cachedData
    }

    return this.readObjectFromPath(path)
  }

  /**
   * @description Delete a canonical object, evicting the write-cache entry
   * first so subsequent reads never return stale cached data.
   *
   * @param path - Storage-root-relative object path.
   * @protected
   */
  protected async deleteCanonicalObject(path: string): Promise<void> {
    this.writeCache.delete(path)
    return this.deleteObjectFromPath(path)
  }

  /**
   * @description List canonical objects under a storage-root-relative prefix.
   *
   * @param prefix - Storage-root-relative directory prefix.
   * @returns Storage-root-relative paths of the objects found.
   * @protected
   */
  protected async listCanonicalObjects(prefix: string): Promise<string[]> {
    return this.listObjectsUnderPath(prefix)
  }

  // ============================================================================
  // GENERATIONAL RECORD LAYER PRIMITIVES (8.0 MVCC)
  //
  // The narrow surface `GenerationStore` (src/db/generationStore.ts) needs from
  // an adapter — see the `GenerationStorage` contract in src/db/types.ts.
  //
  // Raw-object methods operate on storage-root-relative paths and deliberately
  // bypass the write cache: the record layer owns the `_system/` +
  // `_generations/` areas outright. Entity-raw methods, by contrast, go
  // through the write-cache-coherent canonical helpers so before-images
  // capture exactly the bytes the live read paths see.
  // ============================================================================

  /**
   * Hook invoked after every entity-visible single-operation write (noun/verb
   * metadata save or delete). Registered by the generation store so
   * `brain.generation()` advances on writes performed outside `transact()`.
   * See {@link BaseStorage.setGenerationBumpHook}.
   */
  protected generationBumpHook?: () => void

  /**
   * Register (or detach, with `undefined`) the generation-bump hook.
   *
   * The hook fires once per entity-visible metadata mutation — noun/verb
   * metadata saves and deletes, the one storage write every logical Brainy
   * mutation (`add`, `update`, `remove`, `relate`, `updateRelation`,
   * `unrelate`) performs exactly once per entity it touches. It does NOT fire
   * for derived-index writes (HNSW node data, metadata-index chunks, LSM
   * segments, statistics), so the generation counter tracks *data* mutations,
   * not index maintenance. The counter is a monotonic watermark, not an
   * operation count: a cascade delete bumps once per removed record.
   *
   * @param hook - Callback invoked synchronously after each qualifying write,
   *   or `undefined` to detach.
   */
  public setGenerationBumpHook(hook: (() => void) | undefined): void {
    this.generationBumpHook = hook
  }

  /**
   * Read a raw object at a storage-root-relative path. Bypasses the write
   * cache (record-layer files are written through
   * {@link BaseStorage.writeRawObject} only).
   *
   * @param path - Storage-root-relative object path (e.g. `_system/manifest.json`).
   * @returns The parsed object, or `null` if absent.
   */
  public async readRawObject(path: string): Promise<any | null> {
    await this.ensureInitialized()
    return this.readObjectFromPath(path)
  }

  /**
   * Write a raw object at a storage-root-relative path. On disk this is an
   * atomic tmp+rename (the filesystem adapter's primitive), which is what
   * makes the manifest rename a valid commit point.
   *
   * @param path - Storage-root-relative object path.
   * @param data - JSON-serializable object to persist.
   */
  public async writeRawObject(path: string, data: any): Promise<void> {
    await this.ensureInitialized()
    await this.writeObjectToPath(path, data)
  }

  /**
   * Delete a raw object at a storage-root-relative path (no-op if absent).
   *
   * @param path - Storage-root-relative object path.
   */
  public async deleteRawObject(path: string): Promise<void> {
    await this.ensureInitialized()
    await this.deleteObjectFromPath(path)
  }

  /**
   * List raw object paths under a storage-root-relative prefix (normalized,
   * `.gz`-stripped — the adapter primitives already normalize).
   *
   * @param prefix - Storage-root-relative directory prefix.
   * @returns Normalized object paths under the prefix (empty when none).
   */
  public async listRawObjects(prefix: string): Promise<string[]> {
    await this.ensureInitialized()
    return this.listObjectsUnderPath(prefix)
  }

  /**
   * Remove every object under a storage-root-relative prefix. The filesystem
   * adapter overrides this with a recursive directory removal; this default
   * lists and deletes individually (exactly what the in-memory adapter needs).
   *
   * @param prefix - Storage-root-relative directory prefix to remove.
   */
  public async removeRawPrefix(prefix: string): Promise<void> {
    await this.ensureInitialized()
    const paths = await this.listObjectsUnderPath(prefix)
    for (const p of paths) {
      await this.deleteObjectFromPath(p)
    }
  }

  /**
   * Durability barrier for the commit protocol: ensure the listed raw-object
   * paths are durable before the caller proceeds. The base implementation is
   * a no-op (in-memory writes are durable-by-definition within the process);
   * the filesystem adapter overrides it with real `fsync` of the files and
   * their parent directories.
   *
   * @param paths - Storage-root-relative object paths previously written via
   *   {@link BaseStorage.writeRawObject}.
   */
  public async syncRawObjects(paths: string[]): Promise<void> {
    void paths
  }

  /**
   * Read an entity's raw stored objects — the exact bytes at its canonical
   * metadata + vector paths (write-cache coherent). Used by the generation
   * store to capture before-images.
   *
   * @param id - The entity id.
   * @returns The raw stored metadata and vector objects (`null` per part when
   *   the corresponding file is absent).
   */
  public async readNounRaw(id: string): Promise<{ metadata: any | null; vector: any | null }> {
    await this.ensureInitialized()
    const [metadata, vector] = await Promise.all([
      this.readCanonicalObject(getNounMetadataPath(id)),
      this.readCanonicalObject(getNounVectorPath(id))
    ])
    return { metadata: metadata ?? null, vector: vector ?? null }
  }

  /**
   * Restore an entity's raw stored objects byte-for-byte (a `null` part
   * deletes that file). Used by crash recovery and transaction aborts to
   * restore before-images.
   *
   * Bypasses the statistics/count bookkeeping of the normal save paths on
   * purpose: restores must reproduce the exact prior bytes, and the count
   * rollups are derived state with their own rebuild paths
   * (`rebuildTypeCounts()` / `rebuildSubtypeCounts()`).
   *
   * @param id - The entity id.
   * @param record - Raw stored objects as returned by {@link BaseStorage.readNounRaw}.
   */
  public async writeNounRaw(id: string, record: { metadata: any | null; vector: any | null }): Promise<void> {
    await this.ensureInitialized()
    if (record.metadata === null) {
      await this.deleteCanonicalObject(getNounMetadataPath(id))
    } else {
      await this.writeCanonicalObject(getNounMetadataPath(id), record.metadata)
    }
    if (record.vector === null) {
      await this.deleteCanonicalObject(getNounVectorPath(id))
    } else {
      await this.writeCanonicalObject(getNounVectorPath(id), record.vector)
    }
  }

  /**
   * Read a relationship's raw stored objects (verb-side mirror of
   * {@link BaseStorage.readNounRaw}).
   *
   * @param id - The relationship id.
   * @returns The raw stored metadata and vector objects (`null` per part when
   *   the corresponding file is absent).
   */
  public async readVerbRaw(id: string): Promise<{ metadata: any | null; vector: any | null }> {
    await this.ensureInitialized()
    const [metadata, vector] = await Promise.all([
      this.readCanonicalObject(getVerbMetadataPath(id)),
      this.readCanonicalObject(getVerbVectorPath(id))
    ])
    return { metadata: metadata ?? null, vector: vector ?? null }
  }

  /**
   * Restore a relationship's raw stored objects byte-for-byte (verb-side
   * mirror of {@link BaseStorage.writeNounRaw}; same bookkeeping caveats).
   *
   * @param id - The relationship id.
   * @param record - Raw stored objects as returned by {@link BaseStorage.readVerbRaw}.
   */
  public async writeVerbRaw(id: string, record: { metadata: any | null; vector: any | null }): Promise<void> {
    await this.ensureInitialized()
    if (record.metadata === null) {
      await this.deleteCanonicalObject(getVerbMetadataPath(id))
    } else {
      await this.writeCanonicalObject(getVerbMetadataPath(id), record.metadata)
    }
    if (record.vector === null) {
      await this.deleteCanonicalObject(getVerbVectorPath(id))
    } else {
      await this.writeCanonicalObject(getVerbVectorPath(id), record.vector)
    }
  }

  /**
   * Append one line to the transaction log (`_system/tx-log.jsonl`). The
   * filesystem adapter appends to a real JSONL file; the in-memory adapter
   * keeps a line array (serialized by `snapshotToDirectory`).
   *
   * @param line - One complete JSON document, without trailing newline.
   */
  public abstract appendTxLogLine(line: string): Promise<void>

  /**
   * Read all transaction-log lines, oldest first (empty array when no log
   * exists). A torn trailing line from a crashed append is returned as-is —
   * callers tolerate unparseable lines.
   */
  public abstract readTxLogLines(): Promise<string[]>

  /**
   * Snapshot the entire store into `targetPath`. The filesystem adapter
   * builds a hard-link farm (instant, space-shared — safe because data files
   * are immutable-by-rename); the in-memory adapter serializes its object
   * store to a filesystem-storage-compatible directory. The result is a
   * self-contained store openable via `Brainy.load(path)`.
   *
   * @param targetPath - Absolute directory path for the snapshot (created if
   *   missing; must be empty or absent).
   */
  public abstract snapshotToDirectory(targetPath: string): Promise<void>

  /**
   * Replace the entire store's contents from a snapshot directory previously
   * produced by {@link BaseStorage.snapshotToDirectory}. Implementations
   * clear current contents (preserving live lock files), copy the snapshot
   * in (byte copy — never hard links, so the snapshot stays independent),
   * and then call {@link BaseStorage.reloadDerivedState}.
   *
   * @param sourcePath - Absolute path of the snapshot directory.
   */
  public abstract restoreFromDirectory(sourcePath: string): Promise<void>

  /**
   * Reset and reload every piece of adapter-internal derived state after the
   * underlying objects changed wholesale (restore-from-snapshot): the
   * write-through cache, type/subtype statistics, total counts, and the
   * graph-index singleton (invalidated so the next accessor rebuilds from the
   * restored verbs). Count attribution reads the canonical metadata record, so
   * there are no id-keyed caches to clear here.
   */
  protected async reloadDerivedState(): Promise<void> {
    this.clearWriteCache()
    this.nounCountsByType.fill(0)
    this.verbCountsByType.fill(0)
    this.subtypeCountsByType.clear()
    this.verbSubtypeCountsByType.clear()
    this.statisticsCache = null
    this.statisticsModified = false
    this.invalidateGraphIndex()
    // Re-create the blob store: a restore replaced the `_cas/` area wholesale,
    // and the old instance's LRU cache could serve blobs the restored store no
    // longer contains.
    if (this.blobStorage) {
      this.blobStorage = undefined
      await this.initializeBlobStorage()
    }
    await this.loadTypeStatistics()
    await this.loadSubtypeStatistics()
    await this.loadVerbSubtypeStatistics()
    await this.initializeCounts()
  }

  /**
   * Save a noun to storage (vector only, metadata saved separately)
   * @param noun Pure HNSW vector data (no metadata)
   */
  public async saveNoun(noun: HNSWNoun): Promise<void> {
    await this.ensureInitialized()

    // Save the HNSWNoun vector data only
    // Metadata must be saved separately via saveNounMetadata()
    await this.saveNoun_internal(noun)
  }

  /**
   * Hydrate a deserialized noun (pure HNSW vector data) with its stored flat
   * metadata record — THE canonical noun combine for every storage read path.
   * The record is split through `splitNounMetadataRecord` (single source of
   * truth: src/types/reservedFields.ts): reserved fields surface ONLY at
   * top level and `metadata` carries ONLY the consumer's custom fields.
   * Adding a combine site that bypasses this helper reintroduces the
   * reserved-field echo bug — don't.
   *
   * @param noun - The deserialized HNSW noun (id/vector/connections/level).
   * @param metadata - The stored flat metadata record (reserved + custom keys).
   * @returns The combined noun with reserved fields top-level, custom fields in `metadata`.
   */
  protected hydrateNounWithMetadata(
    noun: HNSWNoun,
    metadata: Record<string, unknown> | null | undefined
  ): HNSWNounWithMetadata {
    const { reserved, custom } = splitNounMetadataRecord(metadata)
    return {
      ...noun,
      // Standard fields at top-level
      type: (reserved.noun as NounType) || NounType.Thing,
      subtype: reserved.subtype as string | undefined,
      // visibility is a reserved top-level field (absent === 'public'). Surfacing it
      // here lets visibility-aware reads (export node streaming, count/find candidate
      // filters) see a noun's tier from getNouns without re-reading metadata — the
      // noun mirror of the verb-hydration fix.
      visibility: reserved.visibility as HNSWNounWithMetadata['visibility'],
      createdAt: normalizeStoredTimestamp(reserved.createdAt),
      updatedAt: normalizeStoredTimestamp(reserved.updatedAt),
      confidence: reserved.confidence as number | undefined,
      weight: reserved.weight as number | undefined,
      service: reserved.service as string | undefined,
      data: reserved.data as Record<string, any> | undefined,
      createdBy: reserved.createdBy as HNSWNounWithMetadata['createdBy'],
      _rev: typeof reserved._rev === 'number' ? reserved._rev : 1,
      // Only custom user fields remain in metadata
      metadata: custom
    }
  }

  /**
   * Hydrate a deserialized verb (structural core) with its stored flat
   * metadata record — THE canonical verb combine, the relationship mirror of
   * {@link hydrateNounWithMetadata}. Splitting through
   * `splitVerbMetadataRecord` extracts `verb` too, so the type key never
   * echoes inside `metadata`.
   *
   * @param verb - The deserialized HNSW verb (id/vector/connections/verb/sourceId/targetId).
   * @param metadata - The stored flat metadata record (reserved + custom keys).
   * @returns The combined verb with reserved fields top-level, custom fields in `metadata`.
   */
  protected hydrateVerbWithMetadata(
    verb: HNSWVerb,
    metadata: Record<string, unknown> | null | undefined
  ): HNSWVerbWithMetadata {
    const { reserved, custom } = splitVerbMetadataRecord(metadata)
    return {
      ...verb,
      // Standard fields at top-level
      subtype: reserved.subtype as string | undefined,
      // visibility is a reserved top-level field (the verb mirror of Entity.visibility).
      // Surfacing it here lets the graph-index fast paths apply visibility filtering on
      // their already-hydrated results (so default related() stays O(degree) instead of
      // falling through to a full scan), and lets related({ includeInternal }) results
      // actually report which edges are internal.
      visibility: reserved.visibility as HNSWVerbWithMetadata['visibility'],
      createdAt: normalizeStoredTimestamp(reserved.createdAt),
      updatedAt: normalizeStoredTimestamp(reserved.updatedAt),
      confidence: reserved.confidence as number | undefined,
      weight: reserved.weight as number | undefined,
      service: reserved.service as string | undefined,
      data: reserved.data as Record<string, any> | undefined,
      createdBy: reserved.createdBy as HNSWVerbWithMetadata['createdBy'],
      // Only custom user fields remain in metadata
      metadata: custom
    }
  }

  /**
   * @description Apply the metadata-derived verb filters (`subtype`,
   * `excludeVisibility`) that the graph-index fast paths can satisfy on their
   * already-hydrated O(degree) / O(type) candidate set — matching the semantics
   * of the full-scan fallback in {@link getVerbsWithPagination}. This is what
   * keeps default `related({ from/to })` (which always sets the visibility
   * exclusion) on the fast adjacency path instead of forcing a full O(E) scan.
   *
   * - `subtype`: keeps only verbs carrying a matching subtype; a verb with no
   *   subtype is excluded when a subtype filter is set (same as the fallback).
   * - `excludeVisibility`: drops verbs whose stored visibility tier is in the
   *   excluded set; an absent tier is `'public'` and is always kept.
   *
   * @param verbs - Hydrated candidate verbs from a fast-path lookup.
   * @param filter - The `getVerbs` filter (only `subtype` / `excludeVisibility`
   *   are read here; the structural match was already done by the caller).
   * @returns The candidates with the metadata filters applied (input order preserved).
   */
  protected applyVerbMetadataFilters(
    verbs: HNSWVerbWithMetadata[],
    filter?: {
      subtype?: string | string[]
      excludeVisibility?: string[]
    }
  ): HNSWVerbWithMetadata[] {
    let out = verbs
    const subtypeFilter = filter?.subtype
    if (subtypeFilter) {
      const allowed = new Set(Array.isArray(subtypeFilter) ? subtypeFilter : [subtypeFilter])
      out = out.filter((v) => v.subtype !== undefined && allowed.has(v.subtype))
    }
    const excludeVisibility = filter?.excludeVisibility
    if (excludeVisibility && excludeVisibility.length > 0) {
      const excluded = new Set(excludeVisibility)
      out = out.filter((v) => !(v.visibility && excluded.has(v.visibility)))
    }
    return out
  }

  /**
   * Get a noun from storage (returns combined HNSWNounWithMetadata)
   * @param id Entity ID
   * @returns Combined vector + metadata or null
   */
  public async getNoun(id: string): Promise<HNSWNounWithMetadata | null> {
    await this.ensureInitialized()

    // 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) {
      prodLog.warn(`[Storage] Noun ${id} has vector but no metadata - this should not happen`)
      return null
    }

    return this.hydrateNounWithMetadata(vector, metadata)
  }

  /**
   * 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
   */
  public async getNounsByNounType(nounType: string): Promise<HNSWNounWithMetadata[]> {
    await this.ensureInitialized()

    // Internal method returns HNSWNoun[], need to combine with metadata
    const nouns = await this.getNounsByNounType_internal(nounType)

    // Combine each noun with its metadata via the canonical hydration helper
    const nounsWithMetadata: HNSWNounWithMetadata[] = []
    for (const noun of nouns) {
      const metadata = await this.getNounMetadata(noun.id)
      if (metadata) {
        nounsWithMetadata.push(this.hydrateNounWithMetadata(noun, metadata))
      }
    }

    return nounsWithMetadata
  }

  /**
   * Delete a noun from storage
   */
  public async deleteNoun(id: string): Promise<void> {
    await this.ensureInitialized()

    // 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
      prodLog.debug(`No metadata file to delete for noun ${id}`)
    }
  }

  /**
   * Save a verb to storage (verb only, metadata saved separately)
   *
   * @param verb Pure HNSW verb with core relational fields (verb, sourceId, targetId)
   */
  public async saveVerb(verb: HNSWVerb): Promise<void> {
    await this.ensureInitialized()

    // Validate verb type before saving - storage boundary protection
    validateVerbType(verb.verb)

    // Save the HNSWVerb vector and core fields only
    // Metadata must be saved separately via saveVerbMetadata()
    await this.saveVerb_internal(verb)
  }

  /**
   * Get a verb from storage (returns combined HNSWVerbWithMetadata)
   * @param id Entity ID
   * @returns Combined verb + metadata or null
   */
  public async getVerb(id: string): Promise<HNSWVerbWithMetadata | null> {
    await this.ensureInitialized()

    // 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) {
      prodLog.warn(`[Storage] Verb ${id} has vector but no metadata - this should not happen`)
      return null
    }

    return this.hydrateVerbWithMetadata(verb, metadata)
  }

  /**
   * Batch get multiple verbs
   *
   * **Performance**: Eliminates N+1 pattern for verb loading
   * - Current: N × getVerb() = N × 50ms on GCS = 250ms for 5 verbs
   * - Batched: 1 × getVerbsBatch() = 1 × 50ms on GCS = 50ms (**5x faster**)
   *
   * **Use cases:**
   * - graphIndex.getVerbsBatchCached() for relate() duplicate checking
   * - Loading relationships in batch operations
   * - Pre-loading verbs for graph traversal
   *
   * @param ids Array of verb IDs to fetch
   * @returns Map of id → HNSWVerbWithMetadata (only successful reads included)
   *
   */
  public async getVerbsBatch(ids: string[]): Promise<Map<string, HNSWVerbWithMetadata>> {
    await this.ensureInitialized()

    const results = new Map<string, HNSWVerbWithMetadata>()
    if (ids.length === 0) return results

    // Batch-fetch vectors and metadata in parallel
    // Build paths for vectors
    const vectorPaths: Array<{ path: string; id: string }> = ids.map(id => ({
      path: getVerbVectorPath(id),
      id
    }))

    // Build paths for metadata
    const metadataPaths: Array<{ path: string; id: string }> = ids.map(id => ({
      path: getVerbMetadataPath(id),
      id
    }))

    // Batch read vectors and metadata in parallel
    const [vectorResults, metadataResults] = await Promise.all([
      this.readCanonicalObjectBatch(vectorPaths.map(p => p.path)),
      this.readCanonicalObjectBatch(metadataPaths.map(p => p.path))
    ])

    // Combine vectors + metadata into HNSWVerbWithMetadata
    for (const { path: vectorPath, id } of vectorPaths) {
      const vectorData = vectorResults.get(vectorPath)
      const metadataPath = getVerbMetadataPath(id)
      const metadataData = metadataResults.get(metadataPath)

      if (vectorData && metadataData) {
        // Deserialize, then combine via the canonical hydration helper
        const verb = this.deserializeVerb(vectorData)
        results.set(id, this.hydrateVerbWithMetadata(verb, metadataData))
      }
    }

    return results
  }

  /**
   * 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()

    // Only use this for internal optimizations when safe
    const result = await this.getVerbs({
      pagination: { limit: Number.MAX_SAFE_INTEGER }
    })

    // 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
    }))

    return hnswVerbs
  }

  /**
   * Get verbs by source
   */
  public async getVerbsBySource(sourceId: string): Promise<HNSWVerbWithMetadata[]> {
    await this.ensureInitialized()

    // CRITICAL: Fetch ALL verbs for this source, not just first page
    // This is needed for delete operations to clean up all relationships
    const result = await this.getVerbs({
      filter: { sourceId },
      pagination: { limit: Number.MAX_SAFE_INTEGER }
    })
    return result.items
  }

  /**
   * Get verbs by target
   */
  public async getVerbsByTarget(targetId: string): Promise<HNSWVerbWithMetadata[]> {
    await this.ensureInitialized()

    // CRITICAL: Fetch ALL verbs for this target, not just first page
    // This is needed for delete operations to clean up all relationships
    const result = await this.getVerbs({
      filter: { targetId },
      pagination: { limit: Number.MAX_SAFE_INTEGER }
    })
    return result.items
  }

  /**
   * Get verbs by type
   */
  public async getVerbsByType(type: string): Promise<HNSWVerbWithMetadata[]> {
    await this.ensureInitialized()

    // Fetch ALL verbs of this type (no pagination limit)
    const result = await this.getVerbs({
      filter: { verbType: type },
      pagination: { limit: Number.MAX_SAFE_INTEGER }
    })
    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<{
    items: HNSWNounWithMetadata[]
    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

        // Get nouns by type directly (already combines with metadata)
        const nounsByType = await this.getNounsByNounType(nounType)

        // 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 (duck-typed —
        // see OptionalCountCapabilities)
        const adapter = this as BaseStorage & OptionalCountCapabilities
        if (typeof adapter.countNouns === 'function') {
          totalCount = await adapter.countNouns(options?.filter)
        }
      } catch (countError) {
        // Ignore errors from count method, it's optional
        prodLog.warn('Error getting noun count:', countError)
      }

      // Check if the adapter has a paginated method for getting nouns
      if (typeof this.getNounsWithPagination === 'function') {
        // Use the adapter's paginated method - pass offset directly to adapter.
        // The annotation widens totalCount to optional: adapter overrides
        // follow BaseStorageAdapter's contract, where totalCount may be absent.
        const result: {
          items: HNSWNounWithMetadata[]
          totalCount?: number
          hasMore: boolean
          nextCursor?: string
        } = await this.getNounsWithPagination({
          limit,
          offset,  // Let the adapter handle offset for O(1) operation
          cursor,
          filter: options?.filter
        })

        // Don't slice here - the adapter should handle offset efficiently
        const items = result.items

        // 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

        // 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) {
          prodLog.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
        }

        return {
          items,
          totalCount: finalTotalCount,
          hasMore: safeHasMore,
          nextCursor: result.nextCursor
        }
      }

      // Storage adapter does not support pagination. This is a hard
      // misconfiguration — find()/rebuild/aggregation all read through this path,
      // so returning an empty page would silently present a misconfigured adapter
      // as an empty database. Fail loud instead.
      throw BrainyError.storage(
        'Storage adapter does not implement getNounsWithPagination(). The deprecated getAllNouns_internal() fallback has been removed; implement pagination in your storage adapter.'
      )
    } catch (error) {
      // Never convert a genuine read failure into a success-shaped empty page:
      // this is the highest-fan-in read path (find() fallback, cold-start rebuild
      // gating, aggregation backfill, getNounsByNounType), so a swallowed error
      // would propagate as "zero rows" everywhere — indistinguishable from a truly
      // empty store, and the exact silent-failure class the 8.0 contract forbids.
      if (error instanceof BrainyError) throw error
      throw BrainyError.storage(
        'getNouns pagination read failed',
        error instanceof Error ? error : undefined
      )
    }
  }

  /**
   * Get nouns with pagination (Type-first implementation)
   *
   * CRITICAL: This method is required for brain.find() to work!
   * Iterates through noun types with billion-scale optimizations.
   *
   * ARCHITECTURE: Reads storage directly (not indexes) to avoid circular dependencies.
   * Storage → Indexes (one direction only). GraphAdjacencyIndex built FROM storage.
   *
   * OPTIMIZATIONS:
   * - Skip empty types using nounCountsByType[] tracking (O(1) check)
   * - Early termination when offset + limit entities collected
   * - Memory efficient: Never loads full dataset
   */
  public override async getNounsWithPagination(options: {
    limit: number
    offset: number
    cursor?: string  // Opaque resume token from a prior page's nextCursor; when set it supersedes offset (O(N) walk, no re-scan)
    filter?: {
      nounType?: string | string[]
      service?: string | string[]
      metadata?: Record<string, any>
    }
  }): Promise<{
    items: HNSWNounWithMetadata[]
    totalCount: number
    hasMore: boolean
    nextCursor?: string
  }> {
    await this.ensureInitialized()

    const { limit, offset = 0, filter } = options
    // Cursor (8.0): resume token carrying the (shard, nounId) of the last returned
    // noun — the noun mirror of getVerbsWithPagination. When present it supersedes
    // `offset` and resumes the shard walk immediately AFTER that position, so a full
    // walk is O(N) instead of the O(N²) of offset paging. Malformed/foreign tokens
    // decode to null → offset fallback. (Previously the cursor was ignored, which
    // was latent — the only multi-page consumer used a single big page — until small
    // chunk sizes needed page 2 and an offset-0-on-every-call walk never terminated.)
    const cursor = this.decodeNounWalkCursor(options.cursor)
    const collected: Array<{ noun: HNSWNounWithMetadata; shard: number }> = []

    // Peek one past the window so `hasMore` is decidable. Cursor mode collects one
    // page (+1); offset mode keeps the full [0, offset+limit] window (+1).
    const peekCount = cursor ? limit + 1 : offset + limit + 1
    const startShard = cursor ? cursor.shard : 0

    // Iterate by shards (0x00-0xFF), early-terminating at peekCount.
    for (let shard = startShard; shard < 256 && collected.length < peekCount; shard++) {
      const shardHex = shard.toString(16).padStart(2, '0')
      const shardDir = `entities/nouns/${shardHex}`

      try {
        const nounFiles = await this.listCanonicalObjects(shardDir)

        // Stable within-shard order (by noun id) so offset windows and cursor resume
        // are deterministic; ids come from the path so skipped nouns are never read.
        const entries = nounFiles
          .filter((p) => p.includes('/vectors.json'))
          .map((p) => ({ path: p, id: idFromVectorPath(p) }))
          .sort((a, b) => (a.id < b.id ? -1 : a.id > b.id ? 1 : 0))

        for (const { path: nounPath, id: nounId } of entries) {
          if (collected.length >= peekCount) break
          // Resume: in the cursor's own shard, skip up to AND INCLUDING the cursor id.
          if (cursor && shard === cursor.shard && nounId <= cursor.id) continue

          try {
            const noun = await this.readCanonicalObject(nounPath)
            if (!noun) continue
            const deserialized = this.deserializeNoun(noun)
            const metadata = await this.getNounMetadata(deserialized.id)
            if (!metadata) continue

            // Apply type filter
            if (filter?.nounType && metadata.noun) {
              const types = Array.isArray(filter.nounType) ? filter.nounType : [filter.nounType]
              if (!types.includes(metadata.noun)) {
                continue
              }
            }

            // Apply service filter
            if (filter?.service) {
              const services = Array.isArray(filter.service) ? filter.service : [filter.service]
              if (metadata.service && !services.includes(metadata.service)) {
                continue
              }
            }

            // Combine noun + metadata via the canonical hydration helper —
            // reserved fields top-level, ONLY custom fields in `metadata`.
            collected.push({ noun: this.hydrateNounWithMetadata(deserialized, metadata), shard })
          } catch (error) {
            // Skip nouns that fail to load
          }
        }
      } catch (error) {
        // Skip shards that have no data
      }
    }

    // Window selection. Cursor mode already starts at the resume point (window
    // [0, limit)); offset mode slices [offset, offset+limit). The peeked extra
    // entry (if any) is dropped — its existence is exactly what makes hasMore true.
    const windowStart = cursor ? 0 : offset
    const pagePairs = collected.slice(windowStart, windowStart + limit)
    const paginatedNouns = pagePairs.map((p) => p.noun)
    const hasMore = collected.length > windowStart + limit

    // totalCount must be the TRUE dataset total, not this peeked page. For the
    // unfiltered case the authoritative total is the O(1) counter maintained on
    // every add/delete (rehydrated on init); `Math.max` guards a stale counter. A
    // filtered scan has no cheap exact total, so it keeps the collected length.
    const totalCount = filter
      ? collected.length
      : Math.max(this.totalNounCount, collected.length)

    // nextCursor = the (shard, id) of the last RETURNED noun, so the next call
    // resumes immediately after it (works for both cursor and offset callers).
    let nextCursor: string | undefined = undefined
    if (hasMore && pagePairs.length > 0) {
      const lastPair = pagePairs[pagePairs.length - 1]
      nextCursor = this.encodeNounWalkCursor(lastPair.shard, lastPair.noun.id)
    }

    return {
      items: paginatedNouns,
      totalCount,
      hasMore,
      nextCursor
    }
  }

  /**
   * @description Encode a noun-walk resume cursor — the `(shard, nounId)` of the
   * last returned noun — as an opaque, version-tagged token (`cn1:` prefix lets
   * {@link decodeNounWalkCursor} reject foreign tokens, e.g. a bare-id cursor).
   * `nounId` is placed last and the decoder re-joins on `:` so any id format survives.
   * @param shard - The shard (0–255) the noun lives in.
   * @param id - The noun id.
   * @returns The opaque cursor token.
   */
  private encodeNounWalkCursor(shard: number, id: string): string {
    return `cn1:${shard}:${id}`
  }

  /**
   * @description Decode a noun-walk cursor from {@link encodeNounWalkCursor};
   * returns `null` for an absent / malformed / foreign token (caller falls back
   * to offset paging rather than mis-resuming).
   * @param cursor - The opaque cursor token, or undefined.
   * @returns `{ shard, id }` resume position, or `null`.
   */
  private decodeNounWalkCursor(cursor?: string): { shard: number; id: string } | null {
    if (!cursor) return null
    const parts = cursor.split(':')
    if (parts.length < 3 || parts[0] !== 'cn1') return null
    const shard = Number(parts[1])
    if (!Number.isInteger(shard) || shard < 0 || shard > 255) return null
    const id = parts.slice(2).join(':')
    if (id.length === 0) return null
    return { shard, id }
  }

  /**
   * Get verbs with pagination (Type-first implementation with billion-scale optimizations)
   *
   * CRITICAL: This method is required for brain.related() to work!
   * Iterates through verb types with the same optimizations as nouns.
   *
   * ARCHITECTURE: Reads storage directly (not indexes) to avoid circular dependencies.
   * Storage → Indexes (one direction only). GraphAdjacencyIndex built FROM storage.
   *
   * OPTIMIZATIONS:
   * - Skip empty types using verbCountsByType[] tracking (O(1) check)
   * - Early termination when offset + limit verbs collected
   * - Memory efficient: Never loads full dataset
   * - Inline filtering for sourceId, targetId, verbType
   */
  public override async getVerbsWithPagination(options: {
    limit: number
    offset: number
    cursor?: string  // Opaque resume token from a prior page's nextCursor; when set it supersedes offset (O(N) walk, no re-scan)
    filter?: {
      verbType?: string | string[]
      sourceId?: string | string[]
      targetId?: string | string[]
      service?: string | string[]
      metadata?: Record<string, any>
    }
  }): Promise<{
    items: HNSWVerbWithMetadata[]
    totalCount: number
    hasMore: boolean
    nextCursor?: string
  }> {
    await this.ensureInitialized()

    const { limit, offset = 0, filter } = options
    // Cursor (8.0): an opaque resume token (see encodeVerbWalkCursor) carrying the
    // (shard, verbId) of the last returned verb. When present it SUPERSEDES `offset`
    // and resumes the shard walk immediately AFTER that position, so a full walk is
    // O(N) total instead of the O(N²) of offset paging (which re-scans from shard 0
    // every page). Malformed / foreign tokens decode to null → offset fallback.
    const cursor = this.decodeVerbWalkCursor(options.cursor)

    // Each collected entry remembers its shard so nextCursor can point at the exact
    // (shard, id) resume position.
    const collected: Array<{ verb: HNSWVerbWithMetadata; shard: number }> = []

    // Prepare filter sets for efficient lookup
    const filterVerbTypes = filter?.verbType
      ? new Set(Array.isArray(filter.verbType) ? filter.verbType : [filter.verbType])
      : null
    const filterSourceIds = filter?.sourceId
      ? new Set(Array.isArray(filter.sourceId) ? filter.sourceId : [filter.sourceId])
      : null
    const filterTargetIds = filter?.targetId
      ? new Set(Array.isArray(filter.targetId) ? filter.targetId : [filter.targetId])
      : null
    // `subtype` rides alongside the declared filter fields (Brainy's
    // related() path passes it through); it's applied after metadata
    // loads below, since subtype lives in verb metadata, not on the raw verb.
    const subtypeFilterValue = (
      filter as { verbType?: string | string[]; subtype?: string | string[] } | undefined
    )?.subtype
    const filterSubtypes = subtypeFilterValue
      ? new Set(
          Array.isArray(subtypeFilterValue)
            ? subtypeFilterValue
            : [subtypeFilterValue]
        )
      : null
    // 8.0 visibility exclusion — applied after metadata load (verb visibility lives in
    // metadata), so hidden edges are skipped BEFORE the pagination window fills.
    const excludeVisibility = (filter as { excludeVisibility?: string[] } | undefined)?.excludeVisibility
    const filterExcludeVisibility = excludeVisibility && excludeVisibility.length > 0
      ? new Set(excludeVisibility)
      : null

    // Peek one past the window so hasMore is decidable. Cursor mode collects exactly
    // one page (+1); offset mode keeps the full [0, offset+limit] window (+1).
    const peekCount = cursor ? limit + 1 : offset + limit + 1
    // Cursor resume skips every shard BEFORE the cursor's shard outright (the core of
    // the O(N) win); offset mode always starts at shard 0.
    const startShard = cursor ? cursor.shard : 0

    // Iterate by shards (0x00-0xFF) — single pass, early-terminating at peekCount.
    for (let shard = startShard; shard < 256 && collected.length < peekCount; shard++) {
      const shardHex = shard.toString(16).padStart(2, '0')
      const shardDir = `entities/verbs/${shardHex}`

      try {
        const verbFiles = await this.listCanonicalObjects(shardDir)

        // Stable within-shard order (by verb id) so offset windows and cursor resume
        // are deterministic and consistent across calls. Ids come from the path, so
        // verbs skipped by the cursor are never read.
        const entries = verbFiles
          .filter((p) => p.includes('/vectors.json'))
          .map((p) => ({ path: p, id: idFromVectorPath(p) }))
          .sort((a, b) => (a.id < b.id ? -1 : a.id > b.id ? 1 : 0))

        for (const { path: verbPath, id: verbId } of entries) {
          if (collected.length >= peekCount) break
          // Resume: in the cursor's own shard, skip up to AND INCLUDING the cursor id
          // (later shards are processed in full). No read for skipped verbs.
          if (cursor && shard === cursor.shard && verbId <= cursor.id) continue

          try {
            const rawVerb = await this.readCanonicalObject(verbPath)
            if (!rawVerb) continue

            // Deserialize connections Map from JSON storage format
            const verb = this.deserializeVerb(rawVerb)

            // Apply type filter
            if (filterVerbTypes && !filterVerbTypes.has(verb.verb)) {
              continue
            }

            // Apply sourceId filter
            if (filterSourceIds && !filterSourceIds.has(verb.sourceId)) {
              continue
            }

            // Apply targetId filter
            if (filterTargetIds && !filterTargetIds.has(verb.targetId)) {
              continue
            }

            // Load metadata
            const metadata = await this.getVerbMetadata(verb.id)

            // Apply subtype filter (requires metadata — checked AFTER load)
            if (filterSubtypes) {
              const subtype = metadata?.subtype as string | undefined
              if (!subtype || !filterSubtypes.has(subtype)) {
                continue
              }
            }

            // Apply visibility exclusion (8.0). Absent === 'public' (kept); a stored
            // 'internal'/'system' value is dropped when its tier is excluded.
            if (filterExcludeVisibility) {
              const visibility = metadata?.visibility as string | undefined
              if (visibility && filterExcludeVisibility.has(visibility)) {
                continue
              }
            }

            // Combine verb + metadata via the canonical hydration helper —
            // reserved fields top-level, ONLY custom fields in `metadata`.
            collected.push({ verb: this.hydrateVerbWithMetadata(verb, metadata), shard })
          } catch (error) {
            // Skip verbs that fail to load
          }
        }
      } catch (error) {
        // Skip shards that have no data
      }
    }

    // Window selection. Cursor mode already starts at the resume point, so its window
    // is [0, limit); offset mode slices [offset, offset+limit). The peeked extra entry
    // (if any) is dropped here — its existence is exactly what makes hasMore true.
    const windowStart = cursor ? 0 : offset
    const pagePairs = collected.slice(windowStart, windowStart + limit)
    const paginatedVerbs = pagePairs.map((p) => p.verb)
    const hasMore = collected.length > windowStart + limit

    // totalCount must be the TRUE dataset total, not this peeked page. For the
    // unfiltered scan the authoritative total is the O(1) `totalVerbCount` counter
    // (isNew-gated, visibility-filtered, rehydrated on init); `Math.max` guards a
    // stale counter from under-reporting. A filtered scan has no cheap exact total,
    // so it keeps the collected length (a lower bound).
    const totalCount = filter
      ? collected.length
      : Math.max(this.totalVerbCount, collected.length)

    // nextCursor encodes the (shard, id) of the LAST RETURNED verb so the next call
    // resumes immediately after it — for both cursor and offset callers (an offset
    // caller can switch to cursor paging to escape the O(N²)).
    let nextCursor: string | undefined = undefined
    if (hasMore && pagePairs.length > 0) {
      const lastPair = pagePairs[pagePairs.length - 1]
      nextCursor = this.encodeVerbWalkCursor(lastPair.shard, lastPair.verb.id)
    }

    return {
      items: paginatedVerbs,
      totalCount,
      hasMore,
      nextCursor
    }
  }

  /**
   * @description Encode a verb-walk resume cursor — the `(shard, verbId)` of the
   * last returned verb — as an opaque, version-tagged token. The `cv1:` prefix
   * lets {@link decodeVerbWalkCursor} reject foreign tokens (e.g. the bare-id
   * cursors the graph-index fast paths emit). `verbId` is placed last and the
   * decoder re-joins on `:` so any id format survives the round-trip.
   * @param shard - The shard (0–255) the verb lives in.
   * @param id - The verb id.
   * @returns The opaque cursor token.
   */
  private encodeVerbWalkCursor(shard: number, id: string): string {
    return `cv1:${shard}:${id}`
  }

  /**
   * @description Decode a verb-walk cursor produced by {@link encodeVerbWalkCursor}.
   * Returns `null` for an absent, malformed, or foreign token so the caller falls
   * back to offset-based paging rather than mis-resuming.
   * @param cursor - The opaque cursor token, or undefined.
   * @returns `{ shard, id }` resume position, or `null`.
   */
  private decodeVerbWalkCursor(cursor?: string): { shard: number; id: string } | null {
    if (!cursor) return null
    const parts = cursor.split(':')
    if (parts.length < 3 || parts[0] !== 'cv1') return null
    const shard = Number(parts[1])
    if (!Number.isInteger(shard) || shard < 0 || shard > 255) return null
    const id = parts.slice(2).join(':')
    if (id.length === 0) return null
    return { shard, id }
  }

  /**
   * 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>
      /**
       * 8.0 visibility: tiers to exclude from results (e.g. `['internal','system']`).
       * Applied after metadata load in the full scan, so it disqualifies the
       * metadata-less graph-index fast paths (same as `subtype`).
       */
      excludeVisibility?: string[]
    }
  }): Promise<{
    items: HNSWVerbWithMetadata[]
    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.
    // The graph-index fast paths (getVerbsBySource/Target/Type_internal) hydrate
    // each candidate's metadata, so `subtype` and the 8.0 `excludeVisibility`
    // filters — both metadata fields — are applied on the small O(degree) /
    // O(type) candidate set via applyVerbMetadataFilters() BEFORE pagination.
    // (They used to disqualify the fast paths and force a full O(E) shard scan,
    // which made default related({ from/to }) — which always sets the visibility
    // exclusion — scan the entire graph per node.) An arbitrary `metadata` filter
    // still falls through, since each block guards `!options.filter.metadata`.
    if (options?.filter) {
      // CRITICAL VFS FIX: If filtering by sourceId + verbType (most common VFS pattern!)
      // This is the query PathResolver.getChildren() uses: related({ from: dirId, type: VerbType.Contains })
      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

        const verbType = Array.isArray(options.filter.verbType)
          ? options.filter.verbType[0]
          : options.filter.verbType

        // Get verbs by source, then filter by type (O(1) graph lookup + O(n) type filter),
        // then apply the subtype / visibility metadata filters on the candidate set.
        const verbsBySource = await this.getVerbsBySource_internal(sourceId)
        const filteredVerbs = this.applyVerbMetadataFilters(
          verbsBySource.filter(v => v.verb === verbType),
          options.filter
        )

        // Apply pagination
        const paginatedVerbs = filteredVerbs.slice(offset, offset + limit)
        const hasMore = offset + limit < filteredVerbs.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: filteredVerbs.length,
          hasMore,
          nextCursor
        }
      }

      // 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 (hydrated with metadata), then apply the
        // subtype / visibility metadata filters on the O(degree) candidate set.
        const verbsBySource = this.applyVerbMetadataFilters(
          await this.getVerbsBySource_internal(sourceId),
          options.filter
        )

        // 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 (hydrated with metadata), then apply the
        // subtype / visibility metadata filters on the O(degree) candidate set.
        const verbsByTarget = this.applyVerbMetadataFilters(
          await this.getVerbsByTarget_internal(targetId),
          options.filter
        )

        // 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 (hydrated with metadata), then apply the
        // subtype / visibility metadata filters on the candidate set.
        const verbsByType = this.applyVerbMetadataFilters(
          await this.getVerbsByType_internal(verbType),
          options.filter
        )

        // 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
        }
      }

      // Fast path for SINGLE sourceId + verbType combo (common VFS pattern)
      // This avoids the slow type-iteration fallback for VFS operations
      // NOTE: Only use fast path for single sourceId to avoid incomplete results
      const isSingleSourceId = options.filter.sourceId &&
        !Array.isArray(options.filter.sourceId)
      if (
        isSingleSourceId &&
        options.filter.verbType &&
        !options.filter.targetId &&
        !options.filter.service &&
        !options.filter.metadata
      ) {
        const sourceId = options.filter.sourceId as string
        const verbTypes = Array.isArray(options.filter.verbType)
          ? options.filter.verbType
          : [options.filter.verbType]

        prodLog.debug(`[BaseStorage] getVerbs: Using fast path for sourceId=${sourceId}, verbTypes=${verbTypes.join(',')}`)

        // Get verbs by source (uses GraphAdjacencyIndex if available)
        const verbsBySource = await this.getVerbsBySource_internal(sourceId)

        // Filter by verbType in memory (fast - usually small number of verbs per source),
        // then apply the subtype / visibility metadata filters on the candidate set.
        const filtered = this.applyVerbMetadataFilters(
          verbsBySource.filter(v => verbTypes.includes(v.verb)),
          options.filter
        )

        // Apply pagination
        const paginatedVerbs = filtered.slice(offset, offset + limit)
        const hasMore = offset + limit < filtered.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
        }

        prodLog.debug(`[BaseStorage] getVerbs: Fast path returned ${filtered.length} verbs (${paginatedVerbs.length} after pagination)`)

        return {
          items: paginatedVerbs,
          totalCount: filtered.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 (duck-typed —
        // see OptionalCountCapabilities)
        const adapter = this as BaseStorage & OptionalCountCapabilities
        if (typeof adapter.countVerbs === 'function') {
          totalCount = await adapter.countVerbs(options?.filter)
        }
      } catch (countError) {
        // Ignore errors from count method, it's optional
        prodLog.warn('Error getting verb count:', countError)
      }

      // Check if the adapter has a paginated method for getting verbs
      if (typeof this.getVerbsWithPagination === 'function') {
        // getVerbsWithPagination honors `offset` directly (it slices the
        // [offset, offset+limit) window; `cursor` is not yet implemented there).
        // Pass the real offset through. Previously offset was zeroed and smuggled
        // via an ignored `cursor`, so every page returned items [0, limit) and
        // offset was silently dropped (related({ offset }) paginated incorrectly).
        const result: {
          items: HNSWVerbWithMetadata[]
          totalCount?: number
          hasMore: boolean
          nextCursor?: string
        } = await this.getVerbsWithPagination({
          limit,
          offset,
          cursor,
          filter: options?.filter
        })

        const items = result.items

        // 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

        // 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) {
          prodLog.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
        }

        return {
          items,
          totalCount: finalTotalCount,
          hasMore: safeHasMore,
          nextCursor: result.nextCursor
        }
      }

      // UNIVERSAL FALLBACK: Iterate through verb types with early termination (billion-scale safe)
      // This approach works for ALL storage adapters without requiring adapter-specific pagination
      prodLog.warn(
        'Using universal type-iteration strategy for getVerbs(). ' +
        'This works for all adapters but may be slower than native pagination. ' +
        'For optimal performance at scale, storage adapters can implement getVerbsWithPagination().'
      )

      const collectedVerbs: HNSWVerbWithMetadata[] = []
      let totalScanned = 0
      const targetCount = offset + limit  // We need this many verbs total (including offset)

      // BUG FIX: Check if optimization should be used
      // Only use type-skipping optimization if counts are non-zero (reliable)
      const totalVerbCountFromArray = this.verbCountsByType.reduce((sum, c) => sum + c, 0)
      const useOptimization = totalVerbCountFromArray > 0

      // BUG FIX: Pre-compute requested verb types to avoid skipping them
      // When a specific verbType filter is provided, we MUST check that type
      // even if verbCountsByType shows 0 (counts can be stale after restart)
      const requestedVerbTypes = options?.filter?.verbType
      const requestedVerbTypesSet = requestedVerbTypes
        ? new Set(Array.isArray(requestedVerbTypes) ? requestedVerbTypes : [requestedVerbTypes])
        : null

      // Iterate through all 127 verb types (Stage 3 CANONICAL) with early termination
      // OPTIMIZATION: Skip types with zero count (only if counts are reliable)
      for (let i = 0; i < VERB_TYPE_COUNT && collectedVerbs.length < targetCount; i++) {
        const type = TypeUtils.getVerbFromIndex(i)

        // FIX: Never skip a type that's explicitly requested in the filter
        // This fixes VFS bug where Contains relationships were skipped after restart
        // when verbCountsByType[Contains] was 0 due to stale statistics
        const isRequestedType = requestedVerbTypesSet?.has(type) ?? false
        const countIsZero = this.verbCountsByType[i] === 0

        // Skip empty types for performance (but only if optimization is enabled AND not requested)
        if (useOptimization && countIsZero && !isRequestedType) {
          continue
        }

        // Log when we DON'T skip a requested type that would have been skipped
        // This helps diagnose stale statistics issues in production
        if (useOptimization && countIsZero && isRequestedType) {
          prodLog.debug(
            `[BaseStorage] getVerbs: NOT skipping type=${type} despite count=0 (type was explicitly requested). ` +
            `Statistics may be stale - consider running rebuildTypeCounts().`
          )
        }

        try {
          const verbsOfType = await this.getVerbsByType_internal(type)

          // Apply filtering inline (memory efficient)
          for (const verb of verbsOfType) {
            // Apply filters if specified
            if (options?.filter) {
              // Filter by sourceId
              if (options.filter.sourceId) {
                const sourceIds = Array.isArray(options.filter.sourceId)
                  ? options.filter.sourceId
                  : [options.filter.sourceId]
                if (!sourceIds.includes(verb.sourceId)) {
                  continue
                }
              }

              // Filter by targetId
              if (options.filter.targetId) {
                const targetIds = Array.isArray(options.filter.targetId)
                  ? options.filter.targetId
                  : [options.filter.targetId]
                if (!targetIds.includes(verb.targetId)) {
                  continue
                }
              }

              // Filter by verbType
              if (options.filter.verbType) {
                const verbTypes = Array.isArray(options.filter.verbType)
                  ? options.filter.verbType
                  : [options.filter.verbType]
                if (!verbTypes.includes(verb.verb)) {
                  continue
                }
              }
            }

            // Verb passed filters - add to collection
            collectedVerbs.push(verb)

            // Early termination: stop when we have enough for offset + limit
            if (collectedVerbs.length >= targetCount) {
              break
            }
          }

          totalScanned += verbsOfType.length
        } catch (error) {
          // Ignore errors for types with no verbs (directory may not exist)
          // This is expected for types that haven't been used yet
        }
      }

      // Apply pagination (slice for offset)
      const paginatedVerbs = collectedVerbs.slice(offset, offset + limit)
      const hasMore = collectedVerbs.length > targetCount  // Fixed >= to > (was causing infinite loop)

      return {
        items: paginatedVerbs,
        totalCount: collectedVerbs.length,  // Accurate count of filtered results
        hasMore,
        nextCursor: hasMore && paginatedVerbs.length > 0
          ? paginatedVerbs[paginatedVerbs.length - 1].id
          : undefined
      }
    } catch (error) {
      // Same no-silent-failure contract as getNouns: a genuine read failure must
      // surface as a named, catchable error, not a success-shaped empty page that
      // callers read as "this graph has no verbs."
      if (error instanceof BrainyError) throw error
      throw BrainyError.storage(
        'getVerbs pagination read failed',
        error instanceof Error ? error : undefined
      )
    }
  }

  /**
   * Delete a verb from storage
   */
  public async deleteVerb(id: string): Promise<void> {
    await this.ensureInitialized()

    // 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
      prodLog.debug(`No metadata file to delete for verb ${id}`)
    }
  }
  /**
   * Get graph index (lazy initialization with concurrent access protection)
   * Fixed race condition where concurrent calls could trigger multiple rebuilds
   */
  async getGraphIndex(): Promise<GraphAdjacencyIndex> {
    // If already initialized, return immediately
    if (this.graphIndex) {
      return this.graphIndex
    }

    // If initialization in progress, wait for it
    if (this.graphIndexPromise) {
      return this.graphIndexPromise
    }

    // Start initialization (only first caller reaches here)
    this.graphIndexPromise = this._initializeGraphIndex()

    try {
      const index = await this.graphIndexPromise
      return index
    } finally {
      // Clear promise after completion (success or failure)
      this.graphIndexPromise = undefined
    }
  }

  /**
   * Internal method to initialize graph index (called once by getGraphIndex)
   * @private
   */
  private async _initializeGraphIndex(): Promise<GraphAdjacencyIndex> {
    prodLog.info('Initializing GraphAdjacencyIndex...')
    // Thread the shared entity-id resolver when already wired (re-init after
    // invalidateGraphIndex); on first init Brainy wires it right after.
    this.graphIndex = new GraphAdjacencyIndex(this, {}, this.graphEntityIdResolver)

    // Check if we need to rebuild from existing data
    const sampleVerbs = await this.getVerbs({ pagination: { limit: 1 } })
    if (sampleVerbs.items.length > 0) {
      prodLog.info('Found existing verbs, rebuilding graph index...')
      await this.graphIndex.rebuild()
    }

    return this.graphIndex
  }
  /**
   * Clear all data from storage
   * This method should be implemented by each specific adapter
   */
  public abstract override clear(): Promise<void>

  /**
   * Get information about storage usage and capacity
   * This method should be implemented by each specific adapter
   */
  public abstract override getStorageStatus(): Promise<{
    type: string
    used: number
    quota: number | null
    details?: Record<string, any>
  }>

  /**
   * 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[]>

  // Raw binary-blob primitive (saveBinaryBlob/loadBinaryBlob/deleteBinaryBlob/
  // getBinaryBlobPath) is declared abstract on BaseStorageAdapter — the class
  // that `implements StorageAdapter` — alongside the other public storage
  // methods. Each concrete adapter implements it. See BaseStorageAdapter for the
  // contract and the shared `_blobs/<key>.bin` key→location convention.

  /**
   * Save metadata to storage (now typed)
   * Routes to correct location (system or entity) based on key format
   */
  public async saveMetadata(id: string, metadata: NounMetadata): Promise<void> {
    await this.ensureInitialized()
    const keyInfo = this.analyzeKey(id, 'system')
    return this.writeCanonicalObject(keyInfo.fullPath, metadata)
  }

  /**
   * Get metadata from storage (now typed)
   * Routes to correct location (system or entity) based on key format
   */
  public async getMetadata(id: string): Promise<NounMetadata | null> {
    await this.ensureInitialized()
    const keyInfo = this.analyzeKey(id, 'system')

    // Try the new shard-prefixed path first
    const data = await this.readCanonicalObject(keyInfo.fullPath)
    if (data !== null) return data

    // Backward compat: if the key was sharded, fall back to the legacy flat path
    if (keyInfo.shardId !== null) {
      const legacyPath = `${SYSTEM_DIR}/${id}.json`
      return this.readCanonicalObject(legacyPath)
    }

    return null
  }

  /**
   * Delete a system/metadata object previously written with {@link saveMetadata}.
   * The exact inverse of save/get: routes through `analyzeKey(id, 'system')` and
   * removes the canonical object (plus the legacy flat path that `getMetadata`
   * also reads, so a sharded key leaves nothing behind). Lets keyed-payload
   * owners — e.g. the LSM graph store reclaiming its compacted-away SSTables —
   * free storage instead of orphaning it. Idempotent: deleting a missing path is
   * a no-op.
   */
  public async deleteMetadata(id: string): Promise<void> {
    await this.ensureInitialized()
    const keyInfo = this.analyzeKey(id, 'system')
    await this.deleteCanonicalObject(keyInfo.fullPath)
    // Mirror getMetadata's legacy fallback so an older flat-path payload for a
    // sharded key is also reclaimed.
    if (keyInfo.shardId !== null) {
      await this.deleteCanonicalObject(`${SYSTEM_DIR}/${id}.json`)
    }
  }

  /**
   * Save noun metadata to storage (now typed)
   * Routes to correct sharded location based on UUID
   */
  public async saveNounMetadata(id: string, metadata: NounMetadata): Promise<void> {
    // Validate noun type in metadata - storage boundary protection
    validateNounType(metadata.noun)
    return this.saveNounMetadata_internal(id, metadata)
  }

  /**
   * Internal method for saving noun metadata (now typed)
   * Uses routing logic to handle both UUIDs (sharded) and system keys (unsharded)
   *
   * CRITICAL: 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.
   *
   * @protected
   */
  protected async saveNounMetadata_internal(id: string, metadata: NounMetadata): Promise<void> {
    await this.ensureInitialized()

    // ID-first path - no type needed!
    const path = getNounMetadataPath(id)

    // Determine if this is a new entity by checking if metadata already exists
    const existingMetadata = await this.readCanonicalObject(path)
    const isNew = !existingMetadata

    // Save the metadata (write-cache coherent canonical write)
    await this.writeCanonicalObject(path, metadata)

    // Track subtype changes: on type or subtype change via update(), decrement
    // the prior bucket before incrementing the new one. The prior (type, subtype)
    // comes straight from the canonical record (`existingMetadata`, already loaded
    // above) — there is no id-keyed subtype cache. Symmetric with the delete-path
    // decrement in `deleteNounMetadata()`.
    const priorSubtype = isNew
      ? undefined
      : (typeof existingMetadata?.subtype === 'string' && (existingMetadata.subtype as string).length > 0
          ? (existingMetadata.subtype as string)
          : undefined)
    const priorTypeForSubtype = isNew ? undefined : (existingMetadata?.noun as NounType | undefined)
    const newSubtype = typeof metadata.subtype === 'string' && metadata.subtype.length > 0
      ? metadata.subtype as string
      : undefined
    const newType = metadata.noun as NounType | undefined

    if (priorSubtype && priorTypeForSubtype && (priorSubtype !== newSubtype || priorTypeForSubtype !== newType)) {
      this.decrementSubtypeCount(priorTypeForSubtype, priorSubtype)
    }
    if (newSubtype && newType && (isNew || priorSubtype !== newSubtype || priorTypeForSubtype !== newType)) {
      this.incrementSubtypeCount(newType, newSubtype)
    }

    // Visibility (8.0): only public entities count toward the user-facing totals.
    // The gate reads `metadata.visibility` (new) and `existingMetadata?.visibility`
    // (prior) directly off the record — no id-keyed visibility cache.
    const newVisibility = metadata.visibility
    const wasCounted = isNew ? false : isCountedVisibility(existingMetadata?.visibility)
    const isCounted = isCountedVisibility(newVisibility)

    // CRITICAL FIX: 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()
    // 8.0: skip the user-facing total for internal/system entities (counts.json + getNounCount()).
    if (isNew && metadata.noun && isCounted) {
      this.incrementEntityCount(metadata.noun)
      // Per-type counter (stats().entitiesByType / counts.byTypeEnum) is maintained
      // HERE — gated on isNew + visibility, exactly parallel to the total above. It
      // used to be bumped unconditionally in saveNoun_internal(), but the HNSW index
      // re-saves a node on every neighbor-link change, so that inflated the per-type
      // counts with graph connectivity (e.g. 8 documents could read as 44).
      const typeIdx = TypeUtils.getNounIndex(metadata.noun as NounType)
      this.nounCountsByType[typeIdx]++
      // Persist counts asynchronously (fire and forget)
      this.scheduleCountPersist().catch(() => {
        // Ignore persist errors - will retry on next operation
      })
      // Persist type-statistics on the first entity of a type and every 100th
      // thereafter. This trigger used to live in saveNoun_internal(), which had to
      // call getNounType() purely to recover the type index; sourcing the type from
      // the metadata record here keeps the hot vector-save path free of any type
      // lookup. The "only when counted" half of the heuristic holds by construction
      // inside this branch.
      if (this.nounCountsByType[typeIdx] === 1 || this.nounCountsByType[typeIdx] % 100 === 0) {
        await this.saveTypeStatistics()
      }
    } else if (!isNew && metadata.noun && wasCounted !== isCounted) {
      // Visibility flipped on update(): move the entity in/out of the user-facing
      // total (counts.json / getNounCount()) AND the per-type counter together, so
      // stats().entitiesByType stays consistent with getNounCount().
      const typeIdx = TypeUtils.getNounIndex(metadata.noun as NounType)
      if (isCounted) {
        this.incrementEntityCount(metadata.noun)
        this.nounCountsByType[typeIdx]++
        // Same cadence-gated type-statistics persist as the fresh-add branch — only
        // fires when the entity is now counted (public), matching the original
        // `counted && (count === 1 || count % 100 === 0)` heuristic.
        if (this.nounCountsByType[typeIdx] === 1 || this.nounCountsByType[typeIdx] % 100 === 0) {
          await this.saveTypeStatistics()
        }
      } else {
        this.decrementEntityCount(metadata.noun)
        if (this.nounCountsByType[typeIdx] > 0) this.nounCountsByType[typeIdx]--
      }
      this.scheduleCountPersist().catch(() => {})
    }

    // 8.0 MVCC: entity-visible write — advance the generation watermark
    // (suppressed inside transact batches by the generation store).
    this.generationBumpHook?.()
  }

  /**
   * Get noun metadata from storage (METADATA-ONLY, NO VECTORS)
   *
   * **Performance**: Direct O(1) ID-first lookup - NO type search needed!
   * - **All lookups**: 1 read, ~500ms on cloud (consistent performance)
   * - **No cache needed**: Type is in the metadata, not the path
   * - **No type search**: ID-first paths eliminate 42-type search entirely
   *
   * **Clean architecture**:
   * - Path: `entities/nouns/{SHARD}/{ID}/metadata.json`
   * - Type is just a field in metadata (`noun: "document"`)
   * - MetadataIndex handles type queries (no path scanning needed)
   * - Scales to billions without any overhead
   *
   * **Performance**: Fast path for metadata-only reads
   * - **Speed**: 10ms vs 43ms (76-81% faster than getNoun)
   * - **Bandwidth**: 300 bytes vs 6KB (95% less)
   * - **Memory**: 300 bytes vs 6KB (87% less)
   *
   * **What's included**:
   * - All entity metadata (data, type, timestamps, confidence, weight)
   * - Custom user fields
   * - VFS metadata (_vfs.path, _vfs.size, etc.)
   *
   * **What's excluded**:
   * - 384-dimensional vector embeddings
   * - HNSW graph connections
   *
   * **Usage**:
   * - VFS operations (readFile, stat, readdir) - 100% of cases
   * - Existence checks: `if (await storage.getNounMetadata(id))`
   * - Metadata inspection: `metadata.data`, `metadata.noun` (type)
   * - Relationship traversal: Just need IDs, not vectors
   *
   * **When to use getNoun() instead**:
   * - Computing similarity on this specific entity
   * - Manual vector operations
   * - HNSW graph traversal
   *
   * @param id - Entity ID to retrieve metadata for
   * @returns Metadata or null if not found
   *
   * @performance
   * - O(1) direct ID lookup - always 1 read (~10ms on local disk)
   * - No caching complexity
   * - No type search fallbacks
   *
   * Type-first paths (removed)
   * Promoted to fast path for brain.get() optimization
   * CLEAN FIX: ID-first paths eliminate all type-search complexity
   */
  public async getNounMetadata(id: string): Promise<NounMetadata | null> {
    await this.ensureInitialized()

    // Clean, simple, O(1) lookup - no type needed!
    const path = getNounMetadataPath(id)
    return this.readCanonicalObject(path)
  }

  /**
   * Batch fetch noun metadata from storage
   *
   * **Performance**: Reduces N sequential calls → 1-2 batch calls
   * - Local storage: N × 10ms → 1 × 10ms parallel (N× faster)
   * - Cloud storage: N × 300ms → 1 × 300ms batch (N× faster)
   *
   * **Use cases:**
   * - VFS tree traversal (fetch all children at once)
   * - brain.find() result hydration (batch load entities)
   * - brain.related() target entities (eliminate N+1)
   * - Import operations (batch existence checks)
   *
   * @param ids Array of entity IDs to fetch
   * @returns Map of id → metadata (only successful fetches included)
   *
   * @example
   * ```typescript
   * // Before (N+1 pattern)
   * for (const id of ids) {
   *   const metadata = await storage.getNounMetadata(id)  // N calls
   * }
   *
   * // After (batched)
   * const metadataMap = await storage.getNounMetadataBatch(ids)  // 1 call
   * for (const id of ids) {
   *   const metadata = metadataMap.get(id)
   * }
   * ```
   *
   */
  public async getNounMetadataBatch(ids: string[]): Promise<Map<string, NounMetadata>> {
    await this.ensureInitialized()

    const results = new Map<string, NounMetadata>()
    if (ids.length === 0) return results

    // ID-first paths - no type grouping or search needed!
    // Build direct paths for all IDs
    const pathsToFetch: Array<{ path: string; id: string }> = ids.map(id => ({
      path: getNounMetadataPath(id),
      id
    }))

    // Batch read all paths (uses adapter's native batch API or parallel fallback)
    const batchResults = await this.readCanonicalObjectBatch(pathsToFetch.map(p => p.path))

    // Map results back to IDs
    for (const { path, id } of pathsToFetch) {
      const metadata = batchResults.get(path)
      if (metadata) {
        results.set(id, metadata)
      }
    }

    return results
  }

  /**
   * Batch get multiple nouns with vectors
   *
   * **Performance**: Eliminates N+1 pattern for vector loading
   * - Current: N × getNoun() = N × 50ms on GCS = 500ms for 10 entities
   * - Batched: 1 × getNounBatch() = 1 × 50ms on GCS = 50ms (**10x faster**)
   *
   * **Use cases:**
   * - batchGet() with includeVectors: true
   * - Loading entities for similarity computation
   * - Pre-loading vectors for batch processing
   *
   * @param ids Array of entity IDs to fetch (with vectors)
   * @returns Map of id → HNSWNounWithMetadata (only successful reads included)
   *
   */
  public async getNounBatch(ids: string[]): Promise<Map<string, HNSWNounWithMetadata>> {
    await this.ensureInitialized()

    const results = new Map<string, HNSWNounWithMetadata>()
    if (ids.length === 0) return results

    // Batch-fetch vectors and metadata in parallel
    // Build paths for vectors
    const vectorPaths: Array<{ path: string; id: string }> = ids.map(id => ({
      path: getNounVectorPath(id),
      id
    }))

    // Build paths for metadata
    const metadataPaths: Array<{ path: string; id: string }> = ids.map(id => ({
      path: getNounMetadataPath(id),
      id
    }))

    // Batch read vectors and metadata in parallel
    const [vectorResults, metadataResults] = await Promise.all([
      this.readCanonicalObjectBatch(vectorPaths.map(p => p.path)),
      this.readCanonicalObjectBatch(metadataPaths.map(p => p.path))
    ])

    // Combine vectors + metadata into HNSWNounWithMetadata
    for (const { path: vectorPath, id } of vectorPaths) {
      const vectorData = vectorResults.get(vectorPath)
      const metadataPath = getNounMetadataPath(id)
      const metadataData = metadataResults.get(metadataPath)

      if (vectorData && metadataData) {
        // Deserialize, then combine via the canonical hydration helper
        const noun = this.deserializeNoun(vectorData)
        results.set(id, this.hydrateNounWithMetadata(noun, metadataData))
      }
    }

    return results
  }

  /**
   * Batch read multiple canonical storage paths
   *
   * Core batching primitive that all batch operations build upon.
   * Handles the write cache and adapter-specific batching.
   *
   * **Performance**:
   * - Uses adapter's native batch API when available
   * - Falls back to parallel reads for non-batch adapters
   * - Respects rate limits via StorageBatchConfig
   *
   * @param paths Array of storage-root-relative paths to read
   * @returns Map of path → data (only successful reads included)
   *
   * @protected - Available to subclasses and batch operations
   */
  protected async readCanonicalObjectBatch(paths: string[]): Promise<Map<string, any>> {
    if (paths.length === 0) return new Map()

    const results = new Map<string, any>()

    // Step 1: Check write cache first (synchronous, instant)
    const pathsToFetch: string[] = []

    for (const path of paths) {
      const cachedData = this.writeCache.get(path)
      if (cachedData !== undefined) {
        results.set(path, cachedData)
      } else {
        pathsToFetch.push(path)
      }
    }

    if (pathsToFetch.length === 0) {
      return results  // All in write cache
    }

    // Step 2: Batch read from adapter
    const batchData = await this.readBatchFromAdapter(pathsToFetch)

    for (const [path, data] of batchData.entries()) {
      if (data !== null) {
        results.set(path, data)
      }
    }

    return results
  }

  /**
   * Adapter-level batch read with automatic batching strategy
   *
   * Uses adapter's native batch API when available:
   * - GCS: batch API (100 ops)
   * - S3/R2: batch operations (1000 ops)
   * - Azure: batch API (100 ops)
   * - Others: parallel reads via Promise.all()
   *
   * Automatically chunks large batches based on adapter's maxBatchSize.
   *
   * @param paths Array of resolved storage paths
   * @returns Map of path → data
   *
   * @private
   */
  private async readBatchFromAdapter(paths: string[]): Promise<Map<string, any>> {
    if (paths.length === 0) return new Map()

    // Check if this class implements batch operations (will be added to cloud
    // adapters). Duck-typed optional capability — readBatch is not part of the
    // BaseStorageAdapter contract.
    const selfWithBatch = this as BaseStorage & {
      readBatch?: (paths: string[]) => Promise<Map<string, unknown>>
    }

    if (typeof selfWithBatch.readBatch === 'function') {
      // Adapter has native batch support - use it
      try {
        return await selfWithBatch.readBatch(paths)
      } catch (error) {
        // Fall back to parallel reads on batch failure
        prodLog.warn(`Batch read failed, falling back to parallel: ${error}`)
      }
    }

    // Fallback: Parallel individual reads
    // Respect adapter's maxConcurrent limit
    const batchConfig = this.getBatchConfig()
    const chunkSize = batchConfig.maxConcurrent || 50

    const results = new Map<string, any>()

    for (let i = 0; i < paths.length; i += chunkSize) {
      const chunk = paths.slice(i, i + chunkSize)

      const chunkResults = await Promise.allSettled(
        chunk.map(async path => ({
          path,
          data: await this.readObjectFromPath(path)
        }))
      )

      for (const result of chunkResults) {
        if (result.status === 'fulfilled' && result.value.data !== null) {
          results.set(result.value.path, result.value.data)
        }
      }
    }

    return results
  }

  /**
   * Get batch configuration for this storage adapter
   *
   * Override in subclasses to provide adapter-specific batch limits.
   * Defaults to conservative limits for safety.
   *
   * @public - Inherited from BaseStorageAdapter
   */
  public override getBatchConfig(): StorageBatchConfig {
    // Conservative defaults - adapters should override with their actual limits
    return {
      maxBatchSize: 100,
      batchDelayMs: 0,
      maxConcurrent: 50,
      supportsParallelWrites: true,
      rateLimit: {
        operationsPerSecond: 1000,
        burstCapacity: 5000
      }
    }
  }

  /**
   * Delete noun metadata from storage (ID-first, O(1) delete)
   */
  public async deleteNounMetadata(id: string): Promise<void> {
    await this.ensureInitialized()

    // Direct O(1) delete with ID-first path. Read the canonical record BEFORE
    // removing it: the per-type and subtype decrements are sourced from the
    // entity's own metadata (`noun` type, `subtype`, `visibility`) rather than an
    // id-keyed cache, keeping type-statistics honest across deletes — symmetric
    // with the increments in `saveNounMetadata_internal()`.
    const path = getNounMetadataPath(id)
    const record = await this.readCanonicalObject(path)
    await this.deleteCanonicalObject(path)

    const priorType = record?.noun as NounType | undefined
    // 8.0 visibility: an internal/system entity was never added to `nounCountsByType`
    // (gated in `saveNounMetadata_internal()`), so it must not be decremented here either.
    const priorCounted = isCountedVisibility(record?.visibility)
    if (priorType) {
      if (priorCounted) {
        const idx = TypeUtils.getNounIndex(priorType)
        if (this.nounCountsByType[idx] > 0) {
          this.nounCountsByType[idx]--
        }
      }

      // Symmetric subtype decrement — same non-empty-string guard as the write path.
      const priorSubtype = typeof record?.subtype === 'string' && (record.subtype as string).length > 0
        ? (record.subtype as string)
        : undefined
      if (priorSubtype) {
        this.decrementSubtypeCount(priorType, priorSubtype)
      }
    }

    // 8.0 MVCC: entity-visible write — advance the generation watermark
    // (suppressed inside transact batches by the generation store).
    this.generationBumpHook?.()
  }

  /**
   * Save verb metadata to storage (now typed)
   * Routes to correct sharded location based on UUID
   */
  public async saveVerbMetadata(id: string, metadata: VerbMetadata): Promise<void> {
    // Note: verb type is in HNSWVerb, not metadata
    return this.saveVerbMetadata_internal(id, metadata)
  }

  /**
   * Internal method for saving verb metadata (now typed)
   * Uses ID-first paths (must match getVerbMetadata)
   *
   * CRITICAL: 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
   *
   * @protected
   */
  protected async saveVerbMetadata_internal(id: string, metadata: VerbMetadata): Promise<void> {
    await this.ensureInitialized()

    // Extract verb type from metadata for ID-first path
    const verbType = metadata.verb as VerbType | undefined

    if (!verbType) {
      // Backward compatibility: fallback to old path if no verb type
      const keyInfo = this.analyzeKey(id, 'verb-metadata')
      await this.writeCanonicalObject(keyInfo.fullPath, metadata)
      // 8.0 MVCC: still an entity-visible write — advance the watermark.
      this.generationBumpHook?.()
      return
    }

    // Use ID-first path
    const path = getVerbMetadataPath(id)

    // Determine if this is a new verb by checking if metadata already exists
    const existingMetadata = await this.readCanonicalObject(path)
    const isNew = !existingMetadata

    // Save the metadata (write-cache coherent canonical write)
    await this.writeCanonicalObject(path, metadata)

    // Track verb subtype changes: on type or subtype change via updateRelation(),
    // decrement the prior bucket before incrementing the new one. The prior
    // (verb, subtype) is read straight from the canonical record (`existingMetadata`,
    // loaded above) — there is no id-keyed verb-subtype cache. Symmetric with the
    // delete-path decrement in `deleteVerbMetadata()`.
    const priorVerbForSubtype = isNew ? undefined : (existingMetadata?.verb as VerbType | undefined)
    const priorSubtype = isNew
      ? undefined
      : (typeof existingMetadata?.subtype === 'string' && (existingMetadata.subtype as string).length > 0
          ? (existingMetadata.subtype as string)
          : undefined)
    const newSubtype = typeof metadata.subtype === 'string' && metadata.subtype.length > 0
      ? metadata.subtype as string
      : undefined

    if (priorSubtype && priorVerbForSubtype && (priorSubtype !== newSubtype || priorVerbForSubtype !== verbType)) {
      this.decrementVerbSubtypeCount(priorVerbForSubtype, priorSubtype)
    }
    if (newSubtype && (isNew || priorSubtype !== newSubtype || priorVerbForSubtype !== verbType)) {
      this.incrementVerbSubtypeCount(verbType, newSubtype)
    }

    // Visibility (8.0): verb mirror of the noun count gating. The gate reads
    // `metadata.visibility` (new) and `existingMetadata?.visibility` (prior)
    // directly off the record — no id-keyed visibility cache.
    //
    // NOTE on `verbCountsByType`: unlike the noun path, `saveVerb_internal()` runs
    // BEFORE this method (relate() saves the verb vector first) and has already done
    // an UNCONDITIONAL `verbCountsByType[idx]++`. We therefore COMPENSATE here: for a
    // new hidden edge, undo that bump. `updateRelation()` does not re-run
    // `saveVerb_internal()`, so on a visibility flip we adjust the bucket directly.
    const newVisibility = metadata.visibility
    const wasCounted = isNew ? false : isCountedVisibility(existingMetadata?.visibility)
    const isCounted = isCountedVisibility(newVisibility)
    const verbTypeIdx = TypeUtils.getVerbIndex(verbType)

    // CRITICAL FIX: Increment verb count for new relationships
    // This runs AFTER metadata is saved
    // Uses synchronous increment since storage operations are already serialized
    // Fixes Bug #2: Count synchronization failure during relate() and import()
    // 8.0: skip the user-facing total for internal/system edges (counts.json + getVerbCount()).
    if (isNew) {
      if (isCounted) {
        this.incrementVerbCount(verbType)
      } else {
        // Hidden edge: undo the unconditional bump from saveVerb_internal().
        if (this.verbCountsByType[verbTypeIdx] > 0) this.verbCountsByType[verbTypeIdx]--
      }
      // Persist counts asynchronously (fire and forget)
      this.scheduleCountPersist().catch(() => {
        // Ignore persist errors - will retry on next operation
      })
    } else if (wasCounted !== isCounted) {
      // Visibility flipped on updateRelation() (saveVerb_internal did not run): move the
      // edge in/out of both the user-facing total and the per-type bucket.
      if (isCounted) {
        this.incrementVerbCount(verbType)
        this.verbCountsByType[verbTypeIdx]++
      } else {
        this.decrementVerbCount(verbType)
        if (this.verbCountsByType[verbTypeIdx] > 0) this.verbCountsByType[verbTypeIdx]--
      }
      this.scheduleCountPersist().catch(() => {})
    }

    // 8.0 MVCC: entity-visible write — advance the generation watermark
    // (suppressed inside transact batches by the generation store).
    this.generationBumpHook?.()
  }

  /**
   * Get verb metadata from storage (now typed)
   * Uses ID-first paths (must match saveVerbMetadata_internal)
   */
  public async getVerbMetadata(id: string): Promise<VerbMetadata | null> {
    await this.ensureInitialized()

    // Direct O(1) lookup with ID-first paths - no type search needed!
    // Symmetric with getNounMetadata: readCanonicalObject already returns null for
    // a genuine not-found, so a real storage fault (permission/corruption/IO) must
    // propagate rather than be masked as "this verb has no metadata".
    const path = getVerbMetadataPath(id)
    return this.readCanonicalObject(path)
  }

  /**
   * Delete verb metadata from storage (ID-first, O(1) delete)
   */
  public async deleteVerbMetadata(id: string): Promise<void> {
    await this.ensureInitialized()

    // Direct O(1) delete with ID-first path. Read the canonical record BEFORE
    // removing it so the verb-subtype decrement is sourced from the edge's own
    // metadata (`verb` type + `subtype`) rather than an id-keyed cache — symmetric
    // with the increment in `saveVerbMetadata_internal()`. Verb deletes do not
    // touch `verbCountsByType` in this path (matching prior behavior), so no
    // visibility read is needed here.
    const path = getVerbMetadataPath(id)
    const record = await this.readCanonicalObject(path)
    await this.deleteCanonicalObject(path)

    const priorVerb = record?.verb as VerbType | undefined
    const priorSubtype = typeof record?.subtype === 'string' && (record.subtype as string).length > 0
      ? (record.subtype as string)
      : undefined
    if (priorVerb && priorSubtype) {
      this.decrementVerbSubtypeCount(priorVerb, priorSubtype)
    }

    // 8.0 MVCC: entity-visible write — advance the generation watermark
    // (suppressed inside transact batches by the generation store).
    this.generationBumpHook?.()
  }

  // ============================================================================
  // ID-FIRST HELPER METHODS
  // Direct O(1) ID lookups - no type needed!
  // Clean, simple architecture for billion-scale performance
  // ============================================================================

  /**
   * Load type statistics from storage
   * Rebuilds type counts if needed (called during init)
   *
   * Auto-detects the 7.20.0–7.21.0 poisoned-statistics signature: every
   * noun attributed to `'thing'` because the old `getNounType()` was hardcoded.
   * If detected, runs `rebuildTypeCounts()` once to rewrite the file with
   * correct per-type counts derived from on-disk metadata. Logged loudly.
   */
  protected async loadTypeStatistics(): Promise<void> {
    try {
      const stats = await this.readObjectFromPath(`${SYSTEM_DIR}/type-statistics.json`)

      if (stats) {
        // Restore counts from saved statistics
        if (stats.nounCounts && stats.nounCounts.length === NOUN_TYPE_COUNT) {
          this.nounCountsByType = new Uint32Array(stats.nounCounts)
        }
        if (stats.verbCounts && stats.verbCounts.length === VERB_TYPE_COUNT) {
          this.verbCountsByType = new Uint32Array(stats.verbCounts)
        }

        if (await this.detectPoisonedTypeStatistics()) {
          prodLog.warn(
            '[BaseStorage] Detected poisoned type-statistics.json signature ' +
            '(all nouns attributed to \'thing\' — symptom of pre-7.22 getNounType ' +
            'hardcode). Rebuilding counts from on-disk metadata.'
          )
          await this.rebuildTypeCounts()
        }
      }
    } catch (error) {
      // No existing type statistics, starting fresh
    }
  }

  /**
   * Detect the 7.20.0–7.21.0 poisoned-statistics signature.
   *
   * The defect: the old `getNounType()` returned hardcoded `'thing'`, so
   * `_system/type-statistics.json` ended up with `nounCounts[thing] === N`
   * and every other index `=== 0`, regardless of the actual mix on disk.
   *
   * Heuristic: nounCounts has at least 2 non-thing entities on disk (so the
   * file *should* show multiple non-zero buckets) but only the `thing`
   * bucket is non-zero. We bound the on-disk check with `limit: 3` so this
   * never costs more than a couple of cheap reads.
   *
   * Returns false (no self-heal needed) for genuinely thing-only stores or
   * empty stores.
   */
  private async detectPoisonedTypeStatistics(): Promise<boolean> {
    const thingIdx = TypeUtils.getNounIndex('thing' as NounType)
    if (thingIdx < 0) return false

    let nonZeroBuckets = 0
    let thingCount = 0
    for (let i = 0; i < this.nounCountsByType.length; i++) {
      if (this.nounCountsByType[i] > 0) {
        nonZeroBuckets++
        if (i === thingIdx) thingCount = this.nounCountsByType[i]
      }
    }

    // Only one bucket populated, and it's 'thing' with ≥2 entities — suspicious.
    if (nonZeroBuckets !== 1 || thingCount < 2) return false

    // Cross-check: sample a few metadata files. If any non-'thing' types
    // show up, we're confirmed poisoned. If only 'thing' types appear in the
    // sample, this is a genuine thing-only store and we leave the file alone.
    try {
      const sample = await this.getNouns({ pagination: { offset: 0, limit: 3 } })
      for (const noun of sample.items) {
        const type = await this.getNounTypeFromStorageAsync(noun.id)
        if (type && type !== ('thing' as NounType)) {
          return true
        }
      }
    } catch {
      // If we can't read the metadata, don't trigger a rebuild — leave state alone.
    }
    return false
  }

  /**
   * Save type statistics to storage
   * Periodically called when counts are updated
   */
  protected async saveTypeStatistics(): Promise<void> {
    const stats = {
      nounCounts: Array.from(this.nounCountsByType),
      verbCounts: Array.from(this.verbCountsByType),
      updatedAt: Date.now()
    }

    await this.writeObjectToPath(`${SYSTEM_DIR}/type-statistics.json`, stats)
  }

  /**
   * Increment the (type, subtype) count, creating the inner map on first use.
   * Indexed by NounType index so it lines up with `nounCountsByType` and can
   * be reduced into per-type totals without re-keying.
   */
  protected incrementSubtypeCount(type: NounType, subtype: string): void {
    const typeIdx = TypeUtils.getNounIndex(type)
    if (typeIdx < 0) return
    let inner = this.subtypeCountsByType.get(typeIdx)
    if (!inner) {
      inner = new Map<string, number>()
      this.subtypeCountsByType.set(typeIdx, inner)
    }
    inner.set(subtype, (inner.get(subtype) || 0) + 1)
  }

  /**
   * Decrement the (type, subtype) count. Deletes the inner key when it reaches
   * 0 and the outer entry when its inner map is empty, so the persisted shape
   * stays compact across heavy churn.
   */
  protected decrementSubtypeCount(type: NounType, subtype: string): void {
    const typeIdx = TypeUtils.getNounIndex(type)
    if (typeIdx < 0) return
    const inner = this.subtypeCountsByType.get(typeIdx)
    if (!inner) return
    const next = (inner.get(subtype) || 0) - 1
    if (next <= 0) {
      inner.delete(subtype)
      if (inner.size === 0) this.subtypeCountsByType.delete(typeIdx)
    } else {
      inner.set(subtype, next)
    }
  }

  /**
   * Load `_system/subtype-statistics.json` into `subtypeCountsByType`.
   * Persisted shape: `{ counts: { [typeIdx]: { [subtype]: count } }, updatedAt }`.
   * Missing file or parse error → start from empty (matches loadTypeStatistics).
   */
  protected async loadSubtypeStatistics(): Promise<void> {
    try {
      const stats = await this.readObjectFromPath(`${SYSTEM_DIR}/subtype-statistics.json`)
      if (stats && stats.counts && typeof stats.counts === 'object') {
        this.subtypeCountsByType.clear()
        for (const [typeKey, subtypeMap] of Object.entries(stats.counts as Record<string, Record<string, number>>)) {
          const typeIdx = Number(typeKey)
          if (!Number.isInteger(typeIdx) || typeIdx < 0 || typeIdx >= NOUN_TYPE_COUNT) continue
          const inner = new Map<string, number>()
          for (const [subtype, count] of Object.entries(subtypeMap)) {
            if (typeof count === 'number' && count > 0) inner.set(subtype, count)
          }
          if (inner.size > 0) this.subtypeCountsByType.set(typeIdx, inner)
        }
      }
    } catch {
      // No existing subtype statistics, starting fresh.
    }
  }

  /**
   * Save subtype statistics to storage. Mirrors the type-statistics persistence
   * cadence (called from `flushCounts()` and the periodic save in
   * `saveNoun_internal`).
   */
  protected async saveSubtypeStatistics(): Promise<void> {
    const counts: Record<string, Record<string, number>> = {}
    for (const [typeIdx, inner] of this.subtypeCountsByType.entries()) {
      const innerObj: Record<string, number> = {}
      for (const [subtype, count] of inner.entries()) innerObj[subtype] = count
      counts[String(typeIdx)] = innerObj
    }
    await this.writeObjectToPath(`${SYSTEM_DIR}/subtype-statistics.json`, {
      counts,
      updatedAt: Date.now()
    })
  }

  /**
   * Rebuild subtype counts from on-disk metadata. Companion to `rebuildTypeCounts()`
   * — used for poison recovery and explicit repair via `brainy inspect repair`.
   * O(N) over all nouns.
   */
  public async rebuildSubtypeCounts(): Promise<void> {
    prodLog.info('[BaseStorage] Rebuilding subtype counts from storage...')
    this.subtypeCountsByType.clear()

    for (let shard = 0; shard < 256; shard++) {
      const shardHex = shard.toString(16).padStart(2, '0')
      const shardDir = `entities/nouns/${shardHex}`
      try {
        const paths = await this.listCanonicalObjects(shardDir)
        for (const path of paths) {
          if (!path.includes('/metadata.json')) continue
          try {
            const metadata = await this.readCanonicalObject(path)
            if (metadata && metadata.noun && typeof metadata.subtype === 'string' && metadata.subtype.length > 0) {
              this.incrementSubtypeCount(metadata.noun as NounType, metadata.subtype)
            }
          } catch { /* skip unreadable entities */ }
        }
      } catch { /* skip missing shards */ }
    }

    await this.saveSubtypeStatistics()
    const totals = Array.from(this.subtypeCountsByType.values())
      .reduce((sum, inner) => sum + Array.from(inner.values()).reduce((s, n) => s + n, 0), 0)
    prodLog.info(`[BaseStorage] Rebuilt subtype counts: ${totals} entities across ${this.subtypeCountsByType.size} NounTypes`)
  }

  /**
   * Increment the (verb, subtype) count, creating the inner map on first use.
   * Verb-side mirror of `incrementSubtypeCount`. Indexed by VerbType index so it
   * lines up with `verbCountsByType` and can be reduced into per-verb totals
   * without re-keying.
   */
  protected incrementVerbSubtypeCount(verb: VerbType, subtype: string): void {
    const verbIdx = TypeUtils.getVerbIndex(verb)
    if (verbIdx < 0) return
    let inner = this.verbSubtypeCountsByType.get(verbIdx)
    if (!inner) {
      inner = new Map<string, number>()
      this.verbSubtypeCountsByType.set(verbIdx, inner)
    }
    inner.set(subtype, (inner.get(subtype) || 0) + 1)
  }

  /**
   * Decrement the (verb, subtype) count. Mirror of `decrementSubtypeCount`.
   * Deletes the inner key when it reaches 0 and the outer entry when its inner
   * map is empty, so the persisted shape stays compact across heavy churn.
   */
  protected decrementVerbSubtypeCount(verb: VerbType, subtype: string): void {
    const verbIdx = TypeUtils.getVerbIndex(verb)
    if (verbIdx < 0) return
    const inner = this.verbSubtypeCountsByType.get(verbIdx)
    if (!inner) return
    const next = (inner.get(subtype) || 0) - 1
    if (next <= 0) {
      inner.delete(subtype)
      if (inner.size === 0) this.verbSubtypeCountsByType.delete(verbIdx)
    } else {
      inner.set(subtype, next)
    }
  }

  /**
   * Load `_system/verb-subtype-statistics.json` into `verbSubtypeCountsByType`.
   * Persisted shape mirrors the noun-side rollup:
   * `{ counts: { [verbIdx]: { [subtype]: count } }, updatedAt }`. Missing file
   * or parse error → start from empty.
   */
  protected async loadVerbSubtypeStatistics(): Promise<void> {
    try {
      const stats = await this.readObjectFromPath(`${SYSTEM_DIR}/verb-subtype-statistics.json`)
      if (stats && stats.counts && typeof stats.counts === 'object') {
        this.verbSubtypeCountsByType.clear()
        for (const [verbKey, subtypeMap] of Object.entries(stats.counts as Record<string, Record<string, number>>)) {
          const verbIdx = Number(verbKey)
          if (!Number.isInteger(verbIdx) || verbIdx < 0 || verbIdx >= VERB_TYPE_COUNT) continue
          const inner = new Map<string, number>()
          for (const [subtype, count] of Object.entries(subtypeMap)) {
            if (typeof count === 'number' && count > 0) inner.set(subtype, count)
          }
          if (inner.size > 0) this.verbSubtypeCountsByType.set(verbIdx, inner)
        }
      }
    } catch {
      // No existing verb subtype statistics, starting fresh.
    }
  }

  /**
   * Save verb subtype statistics to storage. Mirrors `saveSubtypeStatistics`.
   * Same persistence cadence (flushCounts + periodic saves alongside other
   * type-statistics).
   */
  protected async saveVerbSubtypeStatistics(): Promise<void> {
    const counts: Record<string, Record<string, number>> = {}
    for (const [verbIdx, inner] of this.verbSubtypeCountsByType.entries()) {
      const innerObj: Record<string, number> = {}
      for (const [subtype, count] of inner.entries()) innerObj[subtype] = count
      counts[String(verbIdx)] = innerObj
    }
    await this.writeObjectToPath(`${SYSTEM_DIR}/verb-subtype-statistics.json`, {
      counts,
      updatedAt: Date.now()
    })
  }

  /**
   * Rebuild verb subtype counts from on-disk metadata. Companion to
   * `rebuildSubtypeCounts()`. O(N) over all verbs. Used for poison recovery
   * and explicit repair via `brainy inspect repair`.
   */
  public async rebuildVerbSubtypeCounts(): Promise<void> {
    prodLog.info('[BaseStorage] Rebuilding verb subtype counts from storage...')
    this.verbSubtypeCountsByType.clear()

    for (let shard = 0; shard < 256; shard++) {
      const shardHex = shard.toString(16).padStart(2, '0')
      const shardDir = `entities/verbs/${shardHex}`
      try {
        const paths = await this.listCanonicalObjects(shardDir)
        for (const path of paths) {
          if (!path.includes('/metadata.json')) continue
          try {
            const metadata = await this.readCanonicalObject(path)
            if (metadata && metadata.verb && typeof metadata.subtype === 'string' && metadata.subtype.length > 0) {
              const verb = metadata.verb as VerbType
              const subtype = metadata.subtype as string
              this.incrementVerbSubtypeCount(verb, subtype)
            }
          } catch { /* skip unreadable verbs */ }
        }
      } catch { /* skip missing shards */ }
    }

    await this.saveVerbSubtypeStatistics()
    const totals = Array.from(this.verbSubtypeCountsByType.values())
      .reduce((sum, inner) => sum + Array.from(inner.values()).reduce((s, n) => s + n, 0), 0)
    prodLog.info(`[BaseStorage] Rebuilt verb subtype counts: ${totals} relationships across ${this.verbSubtypeCountsByType.size} VerbTypes`)
  }

  /**
   * Persist both counter systems atomically when an explicit flush is
   * requested. `super.flushCounts()` writes `entityCounts` (the Map in
   * `BaseStorageAdapter`); we additionally write `nounCountsByType` /
   * `verbCountsByType` so a reader opening the same directory sees the
   * exact same counts the writer holds in memory.
   *
   * Before this override the Uint32Array counters were only persisted
   * on a heuristic schedule inside `saveNoun_internal` (first-of-type or
   * every-100th), which left readers seeing stale counts after a clean
   * writer flush — the same silent-stale failure mode that once produced
   * zero counts from `brain.stats()`.
   */
  public override async flushCounts(): Promise<void> {
    await super.flushCounts()
    await this.saveTypeStatistics()
    await this.saveSubtypeStatistics()
    await this.saveVerbSubtypeStatistics()
  }

  /**
   * Get noun counts by type (O(1) access to type statistics)
   * Exposed for MetadataIndexManager to use as single source of truth
   * @returns Uint32Array indexed by NounType enum value (42 types)
   */
  public getNounCountsByType(): Uint32Array {
    return this.nounCountsByType
  }

  /**
   * Get subtype counts by NounType (O(1) access to subtype statistics).
   * Returned map is the live in-memory view — callers must treat it as
   * read-only. Outer key: NounType index. Inner map: subtype → count.
   *
   * @returns Map keyed by NounType index → Map of subtype → count
   */
  public getSubtypeCountsByType(): Map<number, Map<string, number>> {
    return this.subtypeCountsByType
  }

  /**
   * Get verb subtype counts (O(1) access). Verb-side mirror of
   * `getSubtypeCountsByType`. Outer key: VerbType index. Inner map: subtype → count.
   * Returned map is the live in-memory view — callers must treat it as read-only.
   */
  public getVerbSubtypeCountsByType(): Map<number, Map<string, number>> {
    return this.verbSubtypeCountsByType
  }

  /**
   * Get verb counts by type (O(1) access to type statistics)
   * Exposed for MetadataIndexManager to use as single source of truth
   * @returns Uint32Array indexed by VerbType enum value (127 types)
   */
  public getVerbCountsByType(): Uint32Array {
    return this.verbCountsByType
  }

  /**
   * Rebuild type counts from actual storage. Scans every shard, reads each
   * entity's metadata, and reconstructs `nounCountsByType` / `verbCountsByType`
   * from ground truth. Persists the corrected counts to `type-statistics.json`.
   *
   * Public so it can be triggered by `brainy inspect repair` and by the
   * `brain.health()` reconciliation path. Called automatically by
   * `loadTypeStatistics()` when the persisted state matches the poisoned
   * 7.20.0–7.21.0 signature (all entities attributed to `'thing'`).
   *
   * For very large stores this is O(N) where N is total entities; intended
   * for diagnostic / repair use, not on every init.
   */
  public async rebuildTypeCounts(): Promise<void> {
    prodLog.info('[BaseStorage] Rebuilding type counts from storage...')

    // Rebuild by scanning shards (0x00-0xFF) and reading metadata
    this.nounCountsByType = new Uint32Array(NOUN_TYPE_COUNT)
    this.verbCountsByType = new Uint32Array(VERB_TYPE_COUNT)

    // Scan noun shards
    for (let shard = 0; shard < 256; shard++) {
      const shardHex = shard.toString(16).padStart(2, '0')
      const shardDir = `entities/nouns/${shardHex}`

      try {
        const paths = await this.listCanonicalObjects(shardDir)

        for (const path of paths) {
          if (!path.includes('/metadata.json')) continue

          try {
            const metadata = await this.readCanonicalObject(path)
            if (metadata && metadata.noun) {
              // 8.0 visibility: rebuild only public entities into the user-facing per-type stat.
              if (isCountedVisibility(metadata.visibility)) {
                const typeIndex = TypeUtils.getNounIndex(metadata.noun)
                if (typeIndex >= 0 && typeIndex < NOUN_TYPE_COUNT) {
                  this.nounCountsByType[typeIndex]++
                }
              }
            }
          } catch (error) {
            // Skip entities that fail to load
          }
        }
      } catch (error) {
        // Skip shards that don't exist
      }
    }

    // Scan verb shards
    for (let shard = 0; shard < 256; shard++) {
      const shardHex = shard.toString(16).padStart(2, '0')
      const shardDir = `entities/verbs/${shardHex}`

      try {
        const paths = await this.listCanonicalObjects(shardDir)

        for (const path of paths) {
          if (!path.includes('/metadata.json')) continue

          try {
            const metadata = await this.readCanonicalObject(path)
            if (metadata && metadata.verb) {
              // 8.0 visibility: rebuild only public edges into the user-facing per-type stat.
              if (isCountedVisibility(metadata.visibility)) {
                const typeIndex = TypeUtils.getVerbIndex(metadata.verb)
                if (typeIndex >= 0 && typeIndex < VERB_TYPE_COUNT) {
                  this.verbCountsByType[typeIndex]++
                }
              }
            }
          } catch (error) {
            // Skip entities that fail to load
          }
        }
      } catch (error) {
        // Skip shards that don't exist
      }
    }

    // Save rebuilt counts to storage
    await this.saveTypeStatistics()

    const totalVerbs = this.verbCountsByType.reduce((sum, count) => sum + count, 0)
    const totalNouns = this.nounCountsByType.reduce((sum, count) => sum + count, 0)
    prodLog.info(`[BaseStorage] Rebuilt counts: ${totalNouns} nouns, ${totalVerbs} verbs`)
  }

  /**
   * Resolve a noun's `NounType` straight from its canonical metadata record on
   * disk. Used by the poisoned-statistics detector (`detectPoisonedTypeStatistics()`)
   * to confirm whether on-disk types disagree with a `'thing'`-only persisted
   * rollup before triggering a full `rebuildTypeCounts()`. Returns `null` when
   * metadata genuinely doesn't exist or the read fails; the caller decides whether
   * to skip the entity. There is no in-memory id→type cache — the record is the
   * single source of truth.
   *
   * @param id - The noun id whose type to resolve.
   * @returns The stored `NounType`, or `null` if absent/unreadable.
   */
  protected async getNounTypeFromStorageAsync(id: string): Promise<NounType | null> {
    try {
      const metadataPath = getNounMetadataPath(id)
      const metadata = await this.readCanonicalObject(metadataPath)
      if (metadata && (metadata as NounMetadata).noun) {
        return (metadata as NounMetadata).noun as NounType
      }
    } catch {
      // Storage error — treat as unknown.
    }
    return null
  }

  /**
   * Get verb type from verb object
   * Verb type is a required field in HNSWVerb
   */
  protected getVerbType(verb: HNSWVerb | GraphVerb): VerbType {
    // verb is a required field in HNSWVerb
    if ('verb' in verb && verb.verb) {
      return verb.verb as VerbType
    }

    // Fallback for GraphVerb (type alias)
    if ('type' in verb && verb.type) {
      return verb.type as VerbType
    }

    // This should never happen with current data
    prodLog.warn(`[BaseStorage] Verb missing type field for ${verb.id}, defaulting to 'relatedTo'`)
    return 'relatedTo'
  }


  // ============================================================================
  // DESERIALIZATION HELPERS
  // Centralized Map/Set reconstruction from JSON storage format
  // ============================================================================

  /**
   * Deserialize HNSW connections from JSON storage format
   *
   * Converts plain object { "0": ["id1"], "1": ["id2"] }
   * into Map<number, Set<string>>
   *
   * Central helper to fix serialization bug across all code paths
   * Root cause: JSON.stringify(Map) = {} (empty object), must reconstruct on read
   */
  protected deserializeConnections(connections: any): Map<number, Set<string>> {
    const result = new Map<number, Set<string>>()

    if (!connections || typeof connections !== 'object') {
      return result
    }

    // Already a Map (in-memory, not from JSON)
    if (connections instanceof Map) {
      return connections
    }

    // Deserialize from plain object
    for (const [levelStr, ids] of Object.entries(connections)) {
      if (Array.isArray(ids)) {
        result.set(parseInt(levelStr, 10), new Set<string>(ids))
      } else if (ids && typeof ids === 'object') {
        // Handle Set-like or array-like objects
        result.set(parseInt(levelStr, 10), new Set<string>(Object.values(ids)))
      }
    }

    return result
  }

  /**
   * Deserialize HNSWNoun from JSON storage format
   *
   * Ensures connections are properly reconstructed from Map → object → Map
   * Fixes: "TypeError: noun.connections.entries is not a function"
   */
  protected deserializeNoun(data: any): HNSWNoun {
    return {
      ...data,
      connections: this.deserializeConnections(data.connections)
    }
  }

  /**
   * Deserialize HNSWVerb from JSON storage format
   *
   * Ensures connections are properly reconstructed from Map → object → Map
   * Fixes same serialization bug for verbs
   */
  protected deserializeVerb(data: any): HNSWVerb {
    return {
      ...data,
      connections: this.deserializeConnections(data.connections)
    }
  }


  // ============================================================================
  // ABSTRACT METHOD IMPLEMENTATIONS
  // Converted from abstract to concrete - all adapters now have built-in type-aware
  // ============================================================================

  /**
   * Save a noun to storage (ID-first path)
   */
  protected async saveNoun_internal(noun: HNSWNoun): Promise<void> {
    const path = getNounVectorPath(noun.id)

    // Hot path: write the vector record only. Per-type counters
    // (`nounCountsByType`, read by stats().entitiesByType) AND the periodic
    // type-statistics persist trigger are both maintained in
    // saveNounMetadata_internal(), which holds the canonical metadata record —
    // and therefore the NounType + visibility — at the exact point a count
    // changes. saveNoun_internal() also re-runs on every HNSW neighbor-link
    // re-save, so it deliberately performs NO type lookup and NO count work here.
    await this.writeCanonicalObject(path, noun)
  }

  /**
   * Get a noun from storage (ID-first path)
   */
  protected async getNoun_internal(id: string): Promise<HNSWNoun | null> {
    // Direct O(1) lookup with ID-first paths - no type search needed!
    const path = getNounVectorPath(id)

    try {
      // Write-cache coherent canonical read
      const noun = await this.readCanonicalObject(path)
      if (noun) {
        // Deserialize connections Map from JSON storage format
        return this.deserializeNoun(noun)
      }
    } catch (error) {
      // Entity not found
      return null
    }

    return null
  }

  /**
   * Get nouns by noun type (Shard-based iteration!)
   */
  protected async getNounsByNounType_internal(
    nounType: string
  ): Promise<HNSWNoun[]> {
    // Iterate by shards (0x00-0xFF) instead of types
    // Type is stored in metadata.noun field, we filter as we load
    const nouns: HNSWNoun[] = []

    for (let shard = 0; shard < 256; shard++) {
      const shardHex = shard.toString(16).padStart(2, '0')
      const shardDir = `entities/nouns/${shardHex}`

      try {
        const nounFiles = await this.listCanonicalObjects(shardDir)

        for (const nounPath of nounFiles) {
          if (!nounPath.includes('/vectors.json')) continue

          try {
            const noun = await this.readCanonicalObject(nounPath)
            if (noun) {
              const deserialized = this.deserializeNoun(noun)

              // Check type from metadata
              const metadata = await this.getNounMetadata(deserialized.id)
              if (metadata && metadata.noun === nounType) {
                nouns.push(deserialized)
              }
            }
          } catch (error) {
            // Skip nouns that fail to load
          }
        }
      } catch (error) {
        // Skip shards that have no data
      }
    }

    return nouns
  }

  /**
   * Delete a noun from storage (ID-first, O(1) delete)
   */
  protected async deleteNoun_internal(id: string): Promise<void> {
    // Direct O(1) delete with ID-first path
    const path = getNounVectorPath(id)
    await this.deleteCanonicalObject(path)

    // Note: Type-specific counts will be decremented via metadata tracking
    // The real type is in metadata, accessible if needed via getNounMetadata(id)
  }

  /**
   * Save a verb to storage (ID-first path)
   */
  protected async saveVerb_internal(verb: HNSWVerb): Promise<void> {
    // Type is now a first-class field in HNSWVerb - no caching needed!
    const type = verb.verb as VerbType
    const path = getVerbVectorPath(verb.id)

    prodLog.debug(`[BaseStorage] saveVerb_internal: id=${verb.id}, sourceId=${verb.sourceId}, targetId=${verb.targetId}, type=${type}`)

    // Update type tracking
    const typeIndex = TypeUtils.getVerbIndex(type)
    this.verbCountsByType[typeIndex]++

    // Write-cache coherent canonical write
    await this.writeCanonicalObject(path, verb)

    // GraphAdjacencyIndex updates are now handled EXCLUSIVELY by Brainy.relate()
    // via AddToGraphIndexOperation in the transaction system. This provides:
    // 1. Singleton pattern - only one graphIndex instance exists (via getGraphIndex())
    // 2. Transaction rollback - if relate() fails, index update is rolled back
    // 3. No double-counting - prevents duplicate addVerb() calls
    // REMOVED: Direct graphIndex.addVerb() call that caused dual-ownership bugs

    // Periodically save statistics
    // Also save on first verb of each type to ensure low-count types are tracked
    // This prevents stale statistics after restart for types with < 100 verbs (common for VFS)
    const shouldSave = this.verbCountsByType[typeIndex] === 1 ||  // First verb of type
                       this.verbCountsByType[typeIndex] % 100 === 0  // Every 100th
    if (shouldSave) {
      await this.saveTypeStatistics()
    }
  }

  /**
   * Get a verb from storage (ID-first path)
   */
  protected async getVerb_internal(id: string): Promise<HNSWVerb | null> {
    // Direct O(1) lookup with ID-first paths - no type search needed!
    const path = getVerbVectorPath(id)

    try {
      // Write-cache coherent canonical read
      const verb = await this.readCanonicalObject(path)
      if (verb) {
        // Deserialize connections Map from JSON storage format
        return this.deserializeVerb(verb)
      }
    } catch (error) {
      // Entity not found
      return null
    }

    return null
  }

  /**
   * Get verbs by source (Uses GraphAdjacencyIndex when available)
   * Falls back to shard iteration during initialization to avoid circular dependency
   */
  protected async getVerbsBySource_internal(
    sourceId: string
  ): Promise<HNSWVerbWithMetadata[]> {
    await this.ensureInitialized()

    prodLog.debug(`[BaseStorage] getVerbsBySource_internal: sourceId=${sourceId}, graphIndex=${!!this.graphIndex}, isInitialized=${this.graphIndex?.isInitialized}`)

    // Fast path - use GraphAdjacencyIndex if available (lazy-loaded).
    // 8.0 BigInt boundary: convert the UUID to an entity int up front and
    // resolve returned verb ints back to verb-id strings.
    if (this.graphIndex && this.graphIndex.isInitialized && this.graphEntityIdResolver) {
      try {
        const sourceInt = this.graphEntityIdResolver.getInt(sourceId)
        if (sourceInt === undefined) {
          // Never-mapped UUID — the entity has no relations by definition.
          return []
        }
        const verbInts = await this.graphIndex.getVerbIdsBySource(BigInt(sourceInt))
        const verbIds = (await this.graphIndex.verbIntsToIds(verbInts))
          .filter((id): id is string => id !== null)
        prodLog.debug(`[BaseStorage] GraphAdjacencyIndex found ${verbIds.length} verb IDs for sourceId=${sourceId}`)

        // PERFORMANCE FIX - Batch fetch verbs + metadata (eliminates N+1 pattern)
        // Before: N sequential calls (10 children = 20 × 300ms = 6000ms on GCS)
        // After: 2 parallel batch calls (10 children = 2 × 300ms = 600ms on GCS)
        // 10x improvement for cloud storage (GCS, S3, Azure)
        const verbPaths = verbIds.map(id => getVerbVectorPath(id))
        const metadataPaths = verbIds.map(id => getVerbMetadataPath(id))

        const [verbsMap, metadataMap] = await Promise.all([
          this.readCanonicalObjectBatch(verbPaths),
          this.readCanonicalObjectBatch(metadataPaths)
        ])

        const results: HNSWVerbWithMetadata[] = []

        for (const verbId of verbIds) {
          const verbPath = getVerbVectorPath(verbId)
          const metadataPath = getVerbMetadataPath(verbId)

          const rawVerb = verbsMap.get(verbPath)
          const metadata = metadataMap.get(metadataPath)

          if (rawVerb && metadata) {
            // CRITICAL - Deserialize connections Map from JSON storage format,
            // then combine via the canonical hydration helper (reserved fields
            // top-level, ONLY custom fields in `metadata`).
            const verb = this.deserializeVerb(rawVerb)
            results.push(this.hydrateVerbWithMetadata(verb, metadata))
          }
        }

        prodLog.debug(`[BaseStorage] GraphAdjacencyIndex + batch fetch returned ${results.length} verbs`)
        return results
      } catch (error) {
        prodLog.warn('[BaseStorage] GraphAdjacencyIndex lookup failed, falling back to shard iteration:', error)
      }
    }

    // Fallback - iterate by shards (WITH deserialization fix!)
    prodLog.debug(`[BaseStorage] Using shard iteration fallback for sourceId=${sourceId}`)
    const results: HNSWVerbWithMetadata[] = []
    let shardsScanned = 0
    let verbsFound = 0

    for (let shard = 0; shard < 256; shard++) {
      const shardHex = shard.toString(16).padStart(2, '0')
      const shardDir = `entities/verbs/${shardHex}`

      try {
        const verbFiles = await this.listCanonicalObjects(shardDir)
        shardsScanned++

        for (const verbPath of verbFiles) {
          if (!verbPath.includes('/vectors.json')) continue

          try {
            const rawVerb = await this.readCanonicalObject(verbPath)
            if (!rawVerb) continue

            verbsFound++

            // CRITICAL - Deserialize connections Map from JSON storage format
            const verb = this.deserializeVerb(rawVerb)

            if (verb.sourceId === sourceId) {
              const metadataPath = getVerbMetadataPath(verb.id)
              const metadata = await this.readCanonicalObject(metadataPath)
              // Canonical hydration — reserved fields top-level, ONLY custom
              // fields in `metadata`.
              results.push(this.hydrateVerbWithMetadata(verb, metadata))
            }
          } catch (error) {
            // Skip verbs that fail to load
            prodLog.debug(`[BaseStorage] Failed to load verb from ${verbPath}:`, error)
          }
        }
      } catch (error) {
        // Skip shards that have no data
      }
    }

    prodLog.debug(`[BaseStorage] Shard iteration: scanned ${shardsScanned} shards, found ${verbsFound} total verbs, matched ${results.length} for sourceId=${sourceId}`)
    return results
  }

  /**
   * Batch get verbs by source IDs
   *
   * **Performance**: Eliminates N+1 query pattern for relationship lookups
   * - Current: N × getVerbsBySource() = N × (list all verbs + filter)
   * - Batched: 1 × list all verbs + filter by N sourceIds
   *
   * **Use cases:**
   * - VFS tree traversal (get Contains edges for multiple directories)
   * - brain.related() for multiple entities
   * - Graph traversal (fetch neighbors of multiple nodes)
   *
   * @param sourceIds Array of source entity IDs
   * @param verbType Optional verb type filter (e.g., VerbType.Contains for VFS)
   * @returns Map of sourceId → verbs[]
   *
   * @example
   * ```typescript
   * // Before (N+1 pattern)
   * for (const dirId of dirIds) {
   *   const children = await storage.getVerbsBySource(dirId)  // N calls
   * }
   *
   * // After (batched)
   * const childrenByDir = await storage.getVerbsBySourceBatch(dirIds, VerbType.Contains)  // 1 scan
   * for (const dirId of dirIds) {
   *   const children = childrenByDir.get(dirId) || []
   * }
   * ```
   *
   */
  public async getVerbsBySourceBatch(
    sourceIds: string[],
    verbType?: VerbType
  ): Promise<Map<string, HNSWVerbWithMetadata[]>> {
    await this.ensureInitialized()

    const results = new Map<string, HNSWVerbWithMetadata[]>()
    if (sourceIds.length === 0) return results

    // Initialize empty arrays for all requested sourceIds
    for (const sourceId of sourceIds) {
      results.set(sourceId, [])
    }

    // Convert sourceIds to Set for O(1) lookup
    const sourceIdSet = new Set(sourceIds)

    // Iterate by shards (0x00-0xFF) instead of types
    for (let shard = 0; shard < 256; shard++) {
      const shardHex = shard.toString(16).padStart(2, '0')
      const shardDir = `entities/verbs/${shardHex}`

      try {
        // List all verb files in this shard
        const verbFiles = await this.listCanonicalObjects(shardDir)

        // Build paths for batch read
        const verbPaths: string[] = []
        const metadataPaths: string[] = []
        const pathToId = new Map<string, string>()

        for (const verbPath of verbFiles) {
          if (!verbPath.includes('/vectors.json')) continue
          verbPaths.push(verbPath)

          // Extract ID from path: "entities/verbs/{shard}/{id}/vector.json"
          const parts = verbPath.split('/')
          const verbId = parts[parts.length - 2] // ID is second-to-last segment
          pathToId.set(verbPath, verbId)

          // Prepare metadata path
          metadataPaths.push(getVerbMetadataPath(verbId))
        }

        // Batch read all verb files for this shard
        const verbDataMap = await this.readCanonicalObjectBatch(verbPaths)
        const metadataMap = await this.readCanonicalObjectBatch(metadataPaths)

        // Process results
        for (const [verbPath, rawVerbData] of verbDataMap.entries()) {
          if (!rawVerbData || !rawVerbData.sourceId) continue

          // Deserialize connections Map from JSON storage format
          const verbData = this.deserializeVerb(rawVerbData)

          // Check if this verb's source is in our requested set
          if (!sourceIdSet.has(verbData.sourceId)) continue

          // If verbType specified, filter by type
          if (verbType && verbData.verb !== verbType) continue

          // Found matching verb - hydrate with metadata
          const verbId = pathToId.get(verbPath)!
          const metadataPath = getVerbMetadataPath(verbId)
          const metadata = metadataMap.get(metadataPath) || {}

          // Canonical hydration — reserved fields top-level (including
          // subtype/data, which this site previously dropped), ONLY custom
          // fields in `metadata`.
          const hydratedVerb = this.hydrateVerbWithMetadata(verbData, metadata)

          // Add to results for this sourceId
          const sourceVerbs = results.get(verbData.sourceId)!
          sourceVerbs.push(hydratedVerb)
        }
      } catch (error) {
        // Skip shards that have no data
      }
    }

    return results
  }

  /**
   * Get verbs by target
   * Reverted to fix circular dependency deadlock
   * Fixed to directly list verb files instead of directories
   */
  protected async getVerbsByTarget_internal(
    targetId: string
  ): Promise<HNSWVerbWithMetadata[]> {
    await this.ensureInitialized()

    // Fast path - use GraphAdjacencyIndex if available (lazy-loaded).
    // 8.0 BigInt boundary: convert the UUID to an entity int up front and
    // resolve returned verb ints back to verb-id strings.
    if (this.graphIndex && this.graphIndex.isInitialized && this.graphEntityIdResolver) {
      try {
        const targetInt = this.graphEntityIdResolver.getInt(targetId)
        if (targetInt === undefined) {
          // Never-mapped UUID — the entity has no relations by definition.
          return []
        }
        const verbInts = await this.graphIndex.getVerbIdsByTarget(BigInt(targetInt))
        const verbIds = (await this.graphIndex.verbIntsToIds(verbInts))
          .filter((id): id is string => id !== null)
        const results: HNSWVerbWithMetadata[] = []

        for (const verbId of verbIds) {
          const verb = await this.getVerb_internal(verbId)
          const metadata = await this.getVerbMetadata(verbId)

          if (verb && metadata) {
            // Canonical hydration — reserved fields top-level, ONLY custom
            // fields in `metadata`.
            results.push(this.hydrateVerbWithMetadata(verb, metadata))
          }
        }

        return results
      } catch (error) {
        prodLog.warn('[BaseStorage] GraphAdjacencyIndex lookup failed, falling back to shard iteration:', error)
      }
    }

    // Fallback - iterate by shards (WITH deserialization fix!)
    const results: HNSWVerbWithMetadata[] = []

    for (let shard = 0; shard < 256; shard++) {
      const shardHex = shard.toString(16).padStart(2, '0')
      const shardDir = `entities/verbs/${shardHex}`

      try {
        const verbFiles = await this.listCanonicalObjects(shardDir)

        for (const verbPath of verbFiles) {
          if (!verbPath.includes('/vectors.json')) continue

          try {
            const rawVerb = await this.readCanonicalObject(verbPath)
            if (!rawVerb) continue

            // CRITICAL - Deserialize connections Map from JSON storage format
            const verb = this.deserializeVerb(rawVerb)

            if (verb.targetId === targetId) {
              const metadataPath = getVerbMetadataPath(verb.id)
              const metadata = await this.readCanonicalObject(metadataPath)
              // Canonical hydration — reserved fields top-level, ONLY custom
              // fields in `metadata`.
              results.push(this.hydrateVerbWithMetadata(verb, metadata))
            }
          } catch (error) {
            // Skip verbs that fail to load
          }
        }
      } catch (error) {
        // Skip shards that have no data
      }
    }

    return results
  }

  /**
   * Get verbs by type (Shard iteration with type filtering)
   */
  protected async getVerbsByType_internal(verbType: string): Promise<HNSWVerbWithMetadata[]> {
    // Iterate by shards (0x00-0xFF) instead of type-first paths
    const verbs: HNSWVerbWithMetadata[] = []

    for (let shard = 0; shard < 256; shard++) {
      const shardHex = shard.toString(16).padStart(2, '0')
      const shardDir = `entities/verbs/${shardHex}`

      try {
        const verbFiles = await this.listCanonicalObjects(shardDir)

        for (const verbPath of verbFiles) {
          if (!verbPath.includes('/vectors.json')) continue

          try {
            const rawVerb = await this.readCanonicalObject(verbPath)
            if (!rawVerb) continue

            // Deserialize connections Map from JSON storage format
            const hnswVerb = this.deserializeVerb(rawVerb)

            // Filter by verb type
            if (hnswVerb.verb !== verbType) continue

            // Load metadata separately (optional), then combine via the
            // canonical hydration helper (defensive vector copy preserved)
            const metadata = await this.getVerbMetadata(hnswVerb.id)
            verbs.push(
              this.hydrateVerbWithMetadata(
                { ...hnswVerb, vector: [...hnswVerb.vector] },
                metadata
              )
            )
          } catch (error) {
            // Skip verbs that fail to load
          }
        }
      } catch (error) {
        // Skip shards that have no data
      }
    }

    return verbs
  }

  /**
   * Delete a verb from storage (ID-first, O(1) delete)
   */
  protected async deleteVerb_internal(id: string): Promise<void> {
    // Direct O(1) delete with ID-first path
    const path = getVerbVectorPath(id)
    await this.deleteCanonicalObject(path)

    // Note: Type-specific counts will be decremented via metadata tracking
    // The real type is in metadata, accessible if needed via getVerbMetadata(id)
  }

  /**
   * 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 override 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 override 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 override 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 override getStatisticsData(): Promise<StatisticsData | null>
}