Fixes a critical bug where getVerbsWithPagination would crash with
"Cannot read properties of undefined (reading 'replace')" when
the cached totalVerbCount exceeded actual verb files on disk.
Changes:
- Load actual verb files before calculating pagination bounds
- Use actualFileCount instead of stale totalVerbCount cache
- Add null-safety check for undefined array elements
- Track successfullyLoaded count to prevent infinite loops
- Fix getVerbsWithPaginationStreaming to use streaming result for hasMore
This mirrors the fix applied to nouns pagination in commit 5f10f8d
but was never applied to verbs until now.
Reported by Brain Cloud team - VFS directory operations would fail
when metadata entries existed without corresponding verb files.
- Fix FileSystemStorage sharding: getAllShardedFiles() for proper directory traversal
- Fix getNode() metadata: was filtering out metadata causing VFS entity failures
- Add production-scale streaming pagination for millions of entities
- Optimize sharding threshold from 1000 to 100 files for better performance
- Fix VFS readdir() and tree operations for complete directory structure support
- Add verb count tracking and persistence for performance optimizations
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Co-Authored-By: Claude <noreply@anthropic.com>
- Updated all fs, path, crypto, os, url, util, events, http, https, net, child_process, stream, and zlib imports
- Changed both static imports and dynamic imports to use node: protocol
- This makes Brainy more bundler-friendly by explicitly marking Node.js built-ins
- Prevents bundlers from attempting to polyfill or bundle these modules
- Reduces bundle size for web applications using Brainy
- Improves tree-shaking and dead code elimination
Benefits for external bundlers:
- Clear distinction between Node.js built-ins and external dependencies
- No ambiguity about what needs polyfilling
- Smaller bundles for browser builds
- Better compatibility with modern bundlers (Webpack 5, Vite, Rollup, esbuild)
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix FileSystemStorage counting non-existent files in totalCount
- Add safety check in BaseStorage to prevent hasMore:true with empty items
- Ensure pagination terminates correctly even with corrupted storage state
- Add atomic verb saving with rollback on metadata creation failures
- Implement missing getVerbsForNoun() method required by neural APIs
- Fix broken FileSystemStorage filter methods that returned empty arrays
- Add scalable clustersWithRelationships() method with batching for millions of nodes
- Enhance error handling and logging throughout verb storage pipeline
- Add comprehensive relationship analysis with intra/inter-cluster edges
- Improve API consistency between noun and verb methods
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Co-Authored-By: Claude <noreply@anthropic.com>
- Fixed verb retrieval to include vector field from HNSWVerb
- Properly merge HNSWVerb data with metadata to create complete GraphVerb
- Skip verbs without metadata instead of returning incomplete objects
- Fix field mapping for sourceId/targetId and source/target
- Properly handle connections Map deserialization
- Fix filter logic to check correct fields
This fixes the issue where brain.getVerbs() returned empty array even
after successfully adding verbs. The problem was that verbs are stored
as HNSWVerb + metadata separately but weren't being properly
reconstructed when retrieved.
- Add missing getVerbsWithPagination() method to FileSystemStorage
- Fixes verb retrieval returning empty arrays
- Add pagination method declarations to BaseStorageAdapter interface
- Support filtering by sourceId, targetId, verbType, and service
- Include metadata retrieval for each verb
Resolves issue where brain.getVerbs() returned empty array even after
successfully adding verbs with FileSystemStorage adapter.
Major enhancements for type safety and developer experience:
- Add BrainyTypes static API for type management and AI-powered suggestions
- Implement strict type validation for all 31 NounType categories
- Remove dangerous generic add() method that bypassed type safety
- Add intelligent type inference with confidence scoring
- Provide helpful error messages with typo suggestions using Levenshtein distance
- Update all internal code, examples, and documentation to use typed methods
- Enhance CLI with new type management commands (types, suggest, validate)
Breaking changes:
- Remove deprecated add() method - use addNoun() with explicit type parameter
- All addNoun() calls now require explicit type as second parameter
This release significantly improves type safety across the entire system while
maintaining backward compatibility for properly typed method calls.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>