- Added `cache-configuration.md` under `docs/guides`:
- Detailed multi-level cache system (hot, warm, cold) overview.
- Explained new adaptive tuning capabilities:
- Memory-based adjustments across Node.js, Browser, and Worker environments.
- Dynamic sizing for read-heavy/write-heavy workloads.
- Environment-specific configurations for optimal caching.
- Included best practices for large datasets, memory-constrained and read-only environments.
- Added monitoring and advanced manual tuning instructions.
- Modified `cacheManager.ts`:
- Introduced `environmentConfig` for tailored per-environment cache settings.
- Enhanced auto-tuning with support for dynamic memory detection and cache hit/miss ratio.
- Added fine-grained tuning for eviction thresholds, TTLs, and batch sizes based on workload characteristics.
- Improved adaptive tuning with async memory detection and detailed cache statistics tracking.
**Purpose**: Provide developers with detailed guidance and dynamic tools for optimizing Brainy's cache system, ensuring better performance across diverse environments and workloads.
- Enhanced `CacheManager` for better handling of large datasets, especially in `S3` or remote storage:
- Added `REMOTE_API` as a supported storage type.
- Improved cache sizing and batch tuning:
- Optimized memory usage based on environment (Browser, Node.js, Worker).
- Increased cache aggressiveness in read-only mode and for large datasets.
- Adjusted cache parameters dynamically for S3 or remote storage.
- Introduced `isReadOnly` and `isRemoteStorage` checks to refine tuning logic.
- Added new `cacheConfig` options:
- `autoTune`, `autoTuneInterval`, and mode-specific settings for read-only optimizations.
- Batch sizes, eviction thresholds, and TTLs tailored for operating modes.
- Enhanced documentation:
- Detailed performance-tuning guides and S3 examples in `README.md`.
- Included new configuration examples for large datasets in cloud storage.
- Improved extensibility:
- Unified cache and batch logic under storage type and mode-aware rules.
- Updated interfaces (`BrainyData`, `StorageFactory`) to include new cache settings.
- Verified enhancements with rigorous testing across multiple configurations.
**Purpose**: Improve caching strategy and query performance in complex cloud and on-premise environments with flexible, dynamic tuning.
- Added support for field-specific and prioritized searches in `brainyData`:
- Introduced `searchField` option to enable targeted field-level searches.
- Implemented `priorityFields` option for weighted vectorization and query relevance.
- Developed utilities in `jsonProcessing.ts` and `fieldNameTracking.ts`:
- `extractTextFromJson` for text extraction with customizable depth and field prioritization.
- `extractFieldFromJson` to target specific fields in JSON documents.
- `prepareJsonForVectorization` for optimized JSON vectorization.
- Enhanced management of field names and mappings:
- Integrated `trackFieldNames` to associate fields with their services.
- Supported cross-service consistency through `standardFieldMappings`.
- Updated documentation:
- Added detailed guides for JSON search enhancements and HNSW limitations.
- Extended usage examples in `README.md` and `json-search-test.js`.
- Verified improvements with comprehensive tests:
- Created unit and integration tests demonstrating search behavior improvements.
- Addressed previous TypeScript errors related to search parameters.
**Purpose**: Improve search accuracy and usability when working with complex JSON documents by enabling field-specific searches and enhancing contextual relevance.
- Added a new `CacheManager` class in `cacheManager.ts` to support three-level caching strategy:
- **Level 1**: Hot cache in RAM for most accessed nodes.
- **Level 2**: Warm cache using OPFS, Filesystem, or S3, depending on the environment.
- **Level 3**: Cold storage for longer-term data storage.
- Integrated features for dynamic tuning:
- Auto-detection of environment (Browser, Node.js, Worker) and memory availability.
- Parameter tuning for cache size, eviction thresholds, and TTL based on usage patterns.
- Enhanced support for:
- LRU-based eviction in hot cache.
- Batch-based operations with configurable batch sizes.
- Comprehensive logging and debug outputs for cache operations.
- Ensured robust fallback handling to manage storage in constrained environments.
- Improved extensibility for storage adapters (warm and cold storage detection and initialization).
**Purpose**: Optimize data access and storage across multiple environments with seamless scalability and dynamic parameter adjustments.
- 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.
- Updated error handling in `S3CompatibleStorage` to include checks for `NotFound` errors alongside `NoSuchKey` during lock operations.
- Ensured robustness in determining lock existence and managing exceptions related to missing keys.
**Purpose**: Improve resilience of the S3-compatible storage adapter by addressing additional error scenarios, ensuring accurate lock detection and stable operation.
- Added `BrainyError` class to classify and handle errors with types like `TIMEOUT`, `NETWORK`, `STORAGE`, `NOT_FOUND`, and `RETRY_EXHAUSTED`. Includes static helper methods for error creation and retry determination.
- Introduced `operationUtils` with utility functions for timeout, retry logic, and exponential backoff. Implements features like `withTimeout`, `withRetry`, and a combined `withTimeoutAndRetry`.
- Updated `S3CompatibleStorage` to leverage new operation utilities for timeout and retry handling, including `StorageOperationExecutors` for clean operation execution.
- Enhanced `storageFactory` to pass `OperationConfig` for configurable timeout and retry behavior.
- Extended `BrainyData` to include timeout and retry policy configuration at initialization.
**Purpose**: Improve storage reliability by introducing configurable and reusable error-handling and operation utilities, reducing code duplication and enhancing maintainability.
- Modified `storageFactory` to ensure `FileSystemStorage` gracefully degrades to `MemoryStorage` in browser environments, with proper warnings added.
- Enhanced `opfsStorage` adapter to support recursive directory removal with the `recursive` option.
- Removed `test-fix.js` script, as it is no longer relevant with recent storage fixes and updates.
**Purpose**: Streamline and ensure cross-environment compatibility for `FileSystemStorage`, while removing outdated test artifacts for better maintainability.
- 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.
- Updated `test-results.json` to reflect the latest test outcomes.
- Ensures accuracy of recorded test results after recent changes.
**Purpose**: Keep test result records up-to-date for reliable tracking and reference.
- **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.
- **Integration Tests**:
- Introduced `api-integration.test.ts` to validate API functionality:
- Verifies text insertion, vector embedding generation, and search operations.
- Confirms HNSW index correctness for vector similarity search.
- Ensures no dimensional mismatches in embeddings.
- **Test Server**:
- Added test server utilizing Express for endpoint simulation (`/insert` and `/search/text`).
- **Dependencies**:
- Introduced `express` and `node-fetch` as new dependencies for testing purposes.
- **Vitest Fix**:
- Updated `vitest.config.ts` to resolve the `process.memoryUsage` error by setting `logHeapUsage: false`.
- **Package Updates**:
- Modified `package-lock.json` to include newly added dependencies and updates.
**Purpose**: Guarantees the stability of core API endpoints and vector-related functionality, ensuring reliable behavior for end-to-end scenarios.
- **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.
- **Examples**: Added a new `flush-statistics-example.js` script to demonstrate the usage of the `flushStatistics` method for ensuring updated statistics after data insertion.
- **Core**:
- Implemented `flushStatistics` in the `BrainyData` class to allow immediate flushing of statistics to storage.
- Updated `BaseStorageAdapter` with `flushStatisticsToStorage` to support flushing cached statistics.
- Modified the `shutDown` method to ensure statistics are flushed before database shutdown.
- **Documentation**: Added `statistics-flush-solution.md` to explain the batch update mechanism, the issue with delayed statistics updates, and how to manually flush statistics in storage.
**Purpose**: Provide users with the ability to manually flush statistics for real-time accuracy, particularly useful for systems relying on immediate updates. Improved documentation and examples to guide developers in implementing and using this functionality effectively.
- **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.
- **Removal**: Deleted `FileSystemStorage` and `OPFSStorage` adapters from the `/storage` directory.
- **Refactor**: Simplifies the codebase by eliminating unused, redundant, or outdated storage implementations.
- **Impact**: Ensures maintainability by focusing on actively supported storage solutions.
**Purpose**: Streamline the project by removing deprecated or unused storage adapters, reducing complexity and maintenance overhead.
- **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.
- Updated all imports and exports in `src/index.ts` and `src/storage/storageFactory.ts` to use a consistent formatting style.
- Enhanced readability by standardizing spacing, alignment, and indentation across the codebase.
- Applied consistent import/export styling for structured comments and multi-line objects.
**Purpose**: Improve code maintainability and readability by enforcing uniform formatting, aligning imports and exports for better clarity.
- Introduced comprehensive mock for the Origin Private File System (OPFS) in `tests/mocks/opfs-mock.ts`, simulating environment for detailed storage testing.
- Added `tests/opfs-storage.test.ts`, containing extensive test cases for `OPFSStorage` operations including metadata, nouns, verbs, and storage status.
- Improved S3 mock implementation in `tests/mocks/s3-mock.ts` with better object persistence, validation, and logging to emulate real S3 behavior.
- Resolved issues related to metadata, nouns, verbs, and storage usage inconsistencies in mock storage adapters.
- Enhanced logging and error handling to aid in debugging and test reliability.
Purpose: Improve test completeness and reliability by introducing detailed mocks and extended test cases for S3 and OPFS storage systems.
- 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.
- Added a check to avoid appending `ROOT_DIR` if the `rootDir` already ends with it.
- Ensures proper directory paths setup without redundant path segments.
- **Vector Handling Updates**:
- Added a `dimensions` property to `BrainyDataConfig` for specifying vector dimensions.
- Introduced validation for vector dimensions during database creation and insertion to ensure consistency.
- Enhanced error handling and logging for dimension mismatches.
- **Model Loading Improvements**:
- Implemented retry logic for Universal Sentence Encoder model loading to handle network instability and JSON parsing errors gracefully.
- Improved logging and debugging support for failures during model initialization and embedding operations.
- **Compatibility Enhancements**:
- Updated polyfills to support TensorFlow.js compatibility across diverse server environments (Node.js, serverless, etc.).
- Introduced and refactored global `TextEncoder`/`TextDecoder` definitions for seamless operation in non-browser environments.
- Simplified TensorFlow.js backend setup with streamlined imports and logging for GPU/WebGL fallback.
- **Purpose**:
- These updates improve BrainyData's robustness, enforce correct vector usage, and extend compatibility with varied runtime environments. The changes enhance the usability, reliability, and cross-platform readiness of core functionalities.
- Introduced `test-fallback-function.js` and `test-fallback-simple.js` to validate `executeInThread` fallback functionality with both named and anonymous compute-intensive functions.
- Added `test-tensorflow-textencoder.js` for TensorFlow.js and TextEncoder tests in a Node.js environment.
- Created `test-tensorflow-textencoder.html` for browser-based TensorFlow.js and TextEncoder tests.
- Implemented cross-environment test support in `cli-package/src/test-tensorflow-textencoder.ts` for CLI functionality.
- Enhanced `src/utils/embedding.ts`, `textEncoding.ts`, and `brainy-wrapper.js` to include updated global `TextEncoder` and `TextDecoder` utilities for compatibility and worker improvements.
- Standardized and expanded utility methods in `PlatformNode` for broader support, including `isFloat32Array` and `isTypedArray` checks.
- Updated Node.js requirement to `>= 24.4.0` across documentation and configuration files for compatibility improvements.
This update introduces comprehensive testing for fallback mechanisms, TensorFlow.js, and TextEncoder across multiple environments, ensuring robustness and compatibility.
- Added `cli-package/brainy-wrapper.js` to patch global `TextEncoder` and `TextDecoder` for Node.js environments, ensuring compatibility with TensorFlow.js.
- Implemented unified text encoding utilities in `cli-package/src/utils/textEncoding.ts` for cross-environment consistency.
- Enhanced `src/worker.js` and introduced `src/worker.ts` to improve worker execution with better function serialization and error handling.
- Updated `package.json`:
- Modified the `build` script to include a patch for `TextEncoder`.
- Added `test-all` script for multi-environment testing.
- Introduced the Puppeteer dependency for browser testing.
- Created a favicon generation script `scripts/create-favicon.js` using a base64-encoded icon.
- Added `scripts/test-all-environments.js` to run automated tests across Node.js, browser, and CLI environments.
- Enhanced `src/utils/workerUtils.ts` to support improved fallback mechanisms and robust worker pooling.
This update improves the project's compatibility across environments, refines worker functionalities, and adds comprehensive testing support for reliability.
- Refactored `TextEncoder` and `TextDecoder` in `src/utils/tensorflowUtils.ts` to handle environments without global availability, logging warnings and providing fallback implementations.
- Enhanced threading utilities in `src/utils/environment.ts`:
- Introduced `areWorkerThreadsAvailableSync()` and `isThreadingAvailableAsync()` for synchronous and asynchronous checks.
- Improved compatibility across browser and Node.js environments.
- Migrated `fileSystemStorage.ts` to use dynamic imports for Node.js modules, removing synchronous loading mechanisms to align with ES module standards.
- Updated `cli-package/package.json` keywords to include `browser` and `container`, improving discoverability.
- Added `worker_threads` as an external dependency in `cli-package/rollup.config.js` and `rollup.config.js`.
- Updated `.gitignore` to ignore all `tgz` files dynamically under main and CLI package.
This update improves threading compatibility, enhances environment-specific support, and aligns with modern module loading practices.
- Removed outdated Node.js v24 compatibility patches for `TextEncoder` and `TextDecoder` in `cli-wrapper.js` and other modules since TensorFlow.js now supports Node.js v24+ natively.
- Introduced a utility module `src/utils/tensorflowUtils.ts` for TensorFlow.js compatibility, defining global `PlatformNode` and related utilities.
- Enhanced `fileSystemStorage.ts` with improved Node.js module loading mechanisms for better compatibility across environments.
- Simplified dependency requirements by reducing the minimum Node.js version to `>=23.0.0`.
- Updated `package.json`, `cli-package/package.json`, and `README.md` versions to `0.9.25`.
- Harmonized `cli-package` and main package dependencies to ensure version alignment.
- Improved global compatibility with TensorFlow.js in mixed Node.js environments.
This update modernizes TensorFlow.js integration, reduces maintenance efforts, and aligns compatibility with current Node.js and TensorFlow.js capabilities.
Applied consistent formatting adjustments, including line breaks, parentheses, and object destructuring. These changes enhance code readability and maintainability while preserving existing functionality.
