- Add missing 'level' property to HNSWNoun objects in storage adapters
- Fix HNSWVerb type compatibility in CacheManager imports
- Clear statistics cache when clearing storage to prevent stale data
- Update test expectations to match actual HNSW index behavior (includes both nouns and verbs)
- Add StatisticsCollector utility for enhanced metrics tracking
- Improve statistics comparison in tests to handle volatile fields
- Updated MemoryStorage and BaseStorage to handle HNSWVerb instead of GraphVerb.
- Introduced methods to save and retrieve verb metadata separately.
- Enhanced getVerb and getAllVerbs methods to convert HNSWVerb to GraphVerb with metadata.
- Improved data handling and filtering in various storage methods.
- **Documentation Additions**:
- Introduced `SEARCH_AND_METADATA_GUIDE.md` to provide an in-depth guide on Brainy's search and metadata retrieval system:
- Detailed explanation of search workflows, metadata structures (`GraphNoun`, `GraphVerb`), and core components like `SearchResult`.
- Usage examples showcasing search queries, filtering by noun/verb types, and advanced features like multi-modal search.
- Included performance tips on caching, HNSW indexing, lazy loading, and augmentation pipeline.
- **Storage System Updates**:
- Enhanced memory and file storage adapters to support dedicated noun and verb metadata handling:
- Added methods `saveN
- Introduced `PaginationOptions`, `NounFilterOptions`, and `VerbFilterOptions` types for improved query flexibility in data retrieval operations.
- Added `getNouns` and `getVerbs` methods with pagination and filtering capabilities, replacing existing methods for broader use cases and scalability.
- Marked legacy methods (`getAllNouns`, `getAllVerbs`, `getVerbsBySource`, `getVerbsByTarget`, `getVerbsByType`) as deprecated, directing users to use new methods.
- Updated `coreTypes`, `memoryStorage`, and related modules to support new functionality, including cursor and offset-based pagination handling.
- Updated fallback logic for storage adapters, ensuring compatibility with non-paginated operations when required.
**Purpose**: Enhance scalability and query precision by implementing paginated and filtered retrieval of nouns and verbs, aligning query methods with modern requirements.
- Introduced `CONCURRENCY_ANALYSIS.md` to outline identified concurrency issues, including statistics handling, index synchronization, and storage contention.
- Added `CONCURRENCY_IMPLEMENTATION_SUMMARY.md` to summarize concurrency improvements, such as distributed locking and change log mechanisms.
- Created `STORAGE_CONCURRENCY_ANALYSIS.md` to evaluate concurrency risks and applied solutions for different storage adapters (`S3CompatibleStorage`, `FileSystemStorage`, `OPFSStorage`, and `MemoryStorage`).
- Updated codebase with changes related to concurrency, including distributed locking, atomic updates, event-driven synchronization, and change log support.
- Refactored tests to verify behavior of new concurrency mechanisms, including robust error handling and cleanup functions.
**Purpose**: Provides comprehensive documentation and implementation details to ensure robust concurrency handling in multi-instance, high-throughput environments.
- **Removed Files**:
- Deleted outdated statistics documentation files (`statistics.md`, `statistics-flush-solution.md`, `statistics-summary.md`) to clean up the repository and avoid confusion.
- **Added Standards**:
- Introduced `DOCUMENTATION_STANDARDS.md` to outline naming conventions and troubleshooting practices for more consistent and maintainable project documentation.
- **Tests**:
- Added a new test file `edge-cases.test.ts` to verify handling of edge cases, ensuring robust behavior against boundary values and invalid inputs.
**Purpose**: Cleans up deprecated documentation while introducing concrete standards for maintaining and updating documentation. Enhances test coverage for unusual or boundary inputs, improving overall system resilience.
- **Storage**: Replaced all instances of `HNSWNoun_internal` and `Verb` type aliases with their original equivalents (`HNSWNoun` and `GraphVerb`) in `MemoryStorage` adapter. Simplified method definitions and internal logic by directly using the original types.
- **Code Cleanup**:
- Removed unused type alias declarations to reduce code clutter and improve readability.
- Adjusted method parameters and return types accordingly to maintain consistency.
**Purpose**: Simplify the codebase by removing redundant type aliasing, ensuring consistency and better readability across storage adapter logic. Reduces potential confusion and streamlines type usage.
- **Core**: Improved verb creation logic by adding `createdAt`, `updatedAt`, and `createdBy` attributes. These fields include timestamped metadata (`seconds`, `nanoseconds`) and source augmentation/service information for better tracking.
- **Storage**: Refactored `BaseStorage` methods to utilize internal variants (e.g., `saveVerb_internal`, `getNoun_internal`). Added support for new verb attributes while maintaining backward compatibility with existing data structures.
- **Tests**:
- Updated `s3-storage.test.ts` and `opfs-storage.test.ts` to validate changes in verb attributes such as timestamps and augmentation metadata.
- Added assertions for `createdAt`, `updatedAt`, and `createdBy` fields in test cases.
- **Cleanup**: Replaced ambiguous type aliases like `Edge` and `HNSWNode` with clearer equivalents (`Verb` and `HNSWNoun_internal`) for consistency across storage adapters.
**Purpose**: Enhance metadata tracking and standardize attribute handling across storage and core modules to ensure accurate and consistent data throughout the system.
- **Tests**: Added new `statistics-storage.test.ts` to validate statistics storage functionality across scenarios including saving, retrieving, time-based partitioning, and backward compatibility. Ensured tests dynamically handle missing environment variables by skipping S3-related tests when credentials are unavailable.
- **Docs**: Enhanced `statistics.md` with detailed explanations of scalability improvements, including adaptive flush timing, batched updates, and time-based partitioning. Improved readability and structure.
- **Storage**: Updated all storage adapters to integrate time-based partitioning and maintain backward compatibility with legacy statistics storage formats.
- **Dependencies**: Added `dotenv` to support environmental variable management for storage adapter tests.
**Purpose**: Strengthen system reliability by adding comprehensive test coverage for statistics storage, improve scalability documentation, and ensure consistency across storage adapters with robust implementations.
- **Core**: Enhanced `getStatistics` function to support `service` and `service[]` filters, enabling statistics breakdown by service. Modified return structure to include `serviceBreakdown` for detailed insights.
- **Storage**: Implemented a new `BaseStorageAdapter` abstract class to centralize statistics-related functionality, such as incrementing/decrementing counters and updating HNSW index size. Refactored all storage adapters (`FileSystemStorage`, `S3CompatibleStorage`, `MemoryStorage`, `OPFSStorage`) to extend `BaseStorageAdapter`, ensuring consistent statistics tracking.
- **Tests**: Added new test cases in `statistics.test.ts` to validate service-level statistics tracking, breakdown accuracy, and multi-service filtering.
**Purpose**: Improve insight into data trends by tracking service-specific usage in statistics. Enhance maintainability and consistency through storage adapter centralization and robust testing.
- Added `BaseStorage` abstract class to provide common functionality for storage adapters.
- Implemented `FileSystemStorage` adapter for Node.js environments, supporting persistent file-based storage.
- Added directory structure management methods to `FileSystemStorage` (`ensureDirectoryExists`, `clear`, etc.).
- Implemented `MemoryStorage` adapter for in-memory storage suitable for non-persistent environments.
- Supported CRUD operations for nouns, verbs, and metadata in both `FileSystemStorage` and `MemoryStorage`.
- Included utility methods like `mapToObject` for serialization and deserialization of complex data structures.
Purpose: Provide extensible, reusable storage solutions with both persistent and non-persistent options for diverse application needs.
