fix(core): Update build scripts, refine testing assertions, and enhance documentation
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.gitignore
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@ -16,4 +16,5 @@ node_modules/
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dist/
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dist_*/
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#------# custom
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#------# custom
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**/.claude/settings.local.json
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@ -1,5 +1,14 @@
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# Changelog
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## 2025-05-12 - 1.1.9 - fix(core)
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Update build scripts, refine testing assertions, and enhance documentation
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- Updated .gitignore to exclude local settings files
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- Modified build script in package.json to use 'tsbuild tsfolders --allowimplicitany'
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- Revised readme.plan.md with comprehensive Fuse.js optimization and API improvement strategies
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- Enhanced input validation, error handling, and JSDoc comments across core classes
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- Standardized test syntax and improved test coverage for fuzzy matching features
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## 2025-05-12 - 1.1.8 - fix(tests)
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Standardize test syntax and update testing dependencies
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@ -10,7 +10,7 @@
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"scripts": {
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"test": "(tstest test/)",
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"format": "(gitzone format)",
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"build": "(tsbuild)",
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"build": "(tsbuild tsfolders --allowimplicitany)",
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"buildDocs": "tsdoc"
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},
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"devDependencies": {
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210
readme.plan.md
210
readme.plan.md
@ -1,72 +1,170 @@
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# SmartFuzzy Improvement Plan
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# SmartFuzzy Improvement Plan - Fuse.js Optimization Focus
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## Current Status
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- ESM imports/exports fixed with .js extensions
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- Basic fuzzy matching functionality works
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- Testing infrastructure fixed with @git.zone/tsrun dependency
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- Test syntax needs standardization (converting from chai-style to SmartExpect syntax)
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- Using older versions of dependencies
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- Test syntax standardized using SmartExpect syntax
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- Tests improved with proper assertions and error handling
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- Input validation added to all public methods
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- Code documented with comprehensive TypeScript JSDoc comments
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## Improvement Plan
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## Improvement Plan - Fuse.js Optimization Focus
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### 1. Testing Improvements
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### 1. Fully Leverage Fuse.js Capabilities
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#### 1.1 Update Test Syntax and Standards
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- [ ] Convert all tests from chai-style syntax (`expect().to.be`) to SmartExpect syntax (`expect().toBeInstanceOf()`)
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- [ ] Implement consistent test structure across all test files
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- [ ] Add proper setup and teardown patterns where needed
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- [ ] Replace console.log statements with proper assertions to validate results
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- [ ] Add descriptive error messages to assertions to improve test debugging
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#### 1.1 Enhance Configurability
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- [ ] Create a comprehensive `FuzzyOptions` interface exposing Fuse.js options
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- **Implementation approach**:
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- Expose all relevant Fuse.js options (threshold, distance, location, etc.)
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- Group options logically (matching control, performance control, output control)
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- Add proper TypeScript types and documentation for each option
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- Create sensible defaults for different use cases (loose matching, exact matching, etc.)
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- Add option validation with clear error messages
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- Implement runtime option updates via setOptions() method
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#### 1.2 Expand Test Coverage
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- [ ] Add tests for empty dictionaries and edge cases
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- [ ] Test with extremely large dictionaries to verify performance
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- [ ] Add tests for unicode/special character handling
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- [ ] Test with very similar strings to validate fuzzy matching accuracy
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- [ ] Add tests for error conditions and input validation
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- [ ] Implement tests for all public APIs and features
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#### 1.2 Improve Weighted Field Support
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- [ ] Enhance ObjectSorter to support field weights like ArticleSearch
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- **Implementation approach**:
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- Add ability to specify weight per field in ObjectSorter
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- Maintain backward compatibility with current simple array of fields
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- Create examples of different weighting strategies
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- Add tests demonstrating the effect of different field weights
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- Include weight settings in all relevant documentation
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### 2. Code Quality Improvements
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- [ ] Add proper TypeScript documentation comments to all public methods
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- [ ] Implement consistent error handling
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- [ ] Add input validation for all public methods
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- [ ] Standardize method naming conventions (e.g., get* vs find*)
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#### 1.3 Add Extended Search Capabilities
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- [ ] Implement Fuse.js extended search syntax support
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- **Implementation approach**:
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- Add support for Fuse.js extended search syntax (AND, OR, exact matching)
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- Create helper methods to build complex search queries
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- Add examples of extended search usage in documentation
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- Create tests for complex search patterns
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- Implement query validation for extended search syntax
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### 3. Feature Enhancements
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- [ ] Add configurable threshold options for matching
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- [ ] Implement stemming/lemmatization support for better text matching
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- [ ] Add language-specific matching options
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- [ ] Support for weighted matching across multiple fields
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- [ ] Add batch processing capabilities for large datasets
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### 2. Performance Optimization
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### 4. Performance Optimizations
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- [ ] Implement caching for repeated searches
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- [ ] Optimize indexing for large dictionaries
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- [ ] Add benchmarking tests to measure performance improvements
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#### 2.1 Optimize Index Creation
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- [ ] Implement proper Fuse.js index management
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- **Implementation approach**:
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- Create persistent indices instead of rebuilding for each search
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- Add incremental index updates when items are added/removed
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- Implement proper index serialization and deserialization
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- Add option to lazily rebuild indices
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- Create tests measuring index creation performance
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### 5. Dependencies and Build System
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- [ ] Update to latest versions of dependencies
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- [ ] Ensure proper tree-shaking for browser bundle
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- [ ] Add browser-specific build configuration
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- [ ] Implement proper ES module / CommonJS dual package setup
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#### 2.2 Implement Basic Caching
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- [ ] Add results caching for repeated queries
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- **Implementation approach**:
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- Implement simple Map-based cache for query results
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- Add cache invalidation on dictionary/object changes
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- Create configurable cache size limits
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- Add cache hit/miss tracking for debugging
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- Implement optional cache persistence
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### 6. Documentation
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- [ ] Create comprehensive API documentation
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- [ ] Add usage examples for common scenarios
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- [ ] Create benchmarks comparing to other fuzzy matching libraries
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- [ ] Document performance characteristics and optimization strategies
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#### 2.3 Add Async Processing for Large Datasets
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- [ ] Implement non-blocking search operations for large datasets
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- **Implementation approach**:
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- Create async versions of search methods that don't block main thread
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- Implement chunked processing for large dictionaries
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- Add progress tracking for long operations
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- Create cancellable search operations
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- Add proper promise handling and error propagation
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- Measure performance difference between sync and async methods
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### 7. Developer Experience
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- [ ] Add VS Code debugging configuration
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- [ ] Implement changelog generation
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- [ ] Set up automated release process
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- [ ] Add contribution guidelines
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### 3. API Improvements
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## Priority Order
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1. Fix testing infrastructure (critical)
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2. Code quality improvements (high)
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3. Documentation (high)
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4. Feature enhancements (medium)
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5. Performance optimizations (medium)
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6. Dependencies and build system (medium)
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7. Developer experience (low)
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#### 3.1 Standardize Method Naming
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- [ ] Standardize all method names for consistency
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- **Implementation approach**:
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- Rename `getClosestMatchForString` to `findClosestMatch`
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- Rename `getChangeScoreForString` to `calculateScores`
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- Create backward compatibility aliases with @deprecated tags
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- Update all tests and documentation with new method names
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- Add migration guide for users
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#### 3.2 Add Chainable API
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- [ ] Create a more fluent API for complex searches
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- **Implementation approach**:
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- Implement chainable methods for setting options
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- Add result transformation methods (map, filter, sort)
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- Create fluent search building interface
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- Implement method chaining for filters and transformations
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- Add proper TypeScript type inference for chainable methods
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- Create examples demonstrating the chainable API
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#### 3.3 Enhance Return Types
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- [ ] Improve result objects with more useful information
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- **Implementation approach**:
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- Standardize return types across all search methods
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- Add richer match information (character positions, context)
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- Implement highlighting helpers for match visualization
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- Add metadata to search results (time taken, options used)
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- Create proper TypeScript interfaces for all result types
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### 4. Documentation and Examples
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#### 4.1 Create Comprehensive Documentation
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- [ ] Improve documentation with Fuse.js-specific information
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- **Implementation approach**:
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- Generate TypeDoc documentation from JSDoc comments
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- Create specific sections for Fuse.js integration details
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- Add visual diagrams showing how Fuse.js is utilized
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- Document all configuration options with examples
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- Add performance guidelines based on Fuse.js recommendations
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#### 4.2 Create Usage Examples
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- [ ] Add specialized examples for common search patterns
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- **Implementation approach**:
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- Create examples for typical search scenarios (autocomplete, filtering, etc.)
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- Add examples of weighted searching for different use cases
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- Demonstrate extended search syntax with examples
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- Create comparative examples showing different configuration effects
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- Add performance optimization examples
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### 5. Testing Enhancements
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#### 5.1 Add Fuse.js-specific Tests
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- [ ] Create tests focused on Fuse.js features
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- **Implementation approach**:
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- Add tests for all Fuse.js configuration options
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- Create performance comparison tests for different settings
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- Implement tests for extended search syntax
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- Add tests for very large datasets
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- Create index persistence and rebuilding tests
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#### 5.2 Add Edge Case Tests
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- [ ] Improve test coverage for Fuse.js edge cases
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- **Implementation approach**:
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- Test with unusual strings (very long, special characters, etc.)
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- Add tests for multilingual content
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- Create tests for zero-match and all-match cases
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- Implement tests for threshold boundary conditions
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- Add tests for unusual scoring scenarios
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## Implementation Priority
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### Phase 1: Core Improvements (1-2 weeks)
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- [ ] API Improvements (3.1 Standardize Method Naming)
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- [ ] Configurability Enhancements (1.1 Enhance Configurability)
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- [ ] Documentation Updates (4.1 Create Comprehensive Documentation)
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### Phase 2: Performance Optimizations (1-2 weeks)
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- [ ] Optimize Index Creation (2.1)
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- [ ] Implement Basic Caching (2.2)
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- [ ] Add Fuse.js-specific Tests (5.1)
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### Phase 3: Advanced Features (2-3 weeks)
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- [ ] Improve Weighted Field Support (1.2)
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- [ ] Add Extended Search Capabilities (1.3)
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- [ ] Add Chainable API (3.2)
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- [ ] Enhance Return Types (3.3)
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- [ ] Add Async Processing for Large Datasets (2.3)
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- [ ] Create Usage Examples (4.2)
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- [ ] Add Edge Case Tests (5.2)
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## Expected Outcomes
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- Significantly improved performance for large datasets
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- More flexible and powerful search capabilities
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- Better developer experience with improved API design
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- Clearer understanding of the library through better documentation
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- Higher test coverage, particularly for edge cases and performance scenarios
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@ -2,33 +2,130 @@ import { expect, tap } from '@push.rocks/tapbundle';
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import * as tsclass from '@tsclass/tsclass';
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import * as smartfuzzy from '../ts/index.js';
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tap.test('should sort objects', async () => {
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const articleArray: tsclass.content.IArticle[] = [
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{
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title: 'Berlin has a ambivalent history',
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content: 'it is known that Berlin has an interesting history',
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author: null,
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tags: ['city', 'Europe', 'hello'],
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timestamp: Date.now(),
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featuredImageUrl: null,
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url: null,
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},
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{
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title: 'Washington is a great city',
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content: 'it is known that Washington is one of the greatest cities in the world',
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author: null,
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tags: ['city', 'USA', 'hello'],
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timestamp: Date.now(),
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featuredImageUrl: null,
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url: null,
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},
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];
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// Create fixed timestamps for consistent test results
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const timestamp1 = 1620000000000; // May 2021
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const timestamp2 = 1620086400000; // May 2021 + 1 day
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const testArticleSearch = new smartfuzzy.ArticleSearch(articleArray);
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// Test articles with known content
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const testArticles: tsclass.content.IArticle[] = [
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{
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title: 'Berlin has a ambivalent history',
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content: 'it is known that Berlin has an interesting history',
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author: null,
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tags: ['city', 'Europe', 'history', 'travel'],
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timestamp: timestamp1,
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featuredImageUrl: null,
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url: null,
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},
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{
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title: 'Washington is a great city',
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content: 'it is known that Washington is one of the greatest cities in the world',
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author: null,
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tags: ['city', 'USA', 'travel', 'politics'],
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timestamp: timestamp2,
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featuredImageUrl: null,
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url: null,
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},
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{
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title: 'Travel tips for European cities',
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content: 'Here are some travel tips for European cities including Berlin and Paris',
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author: null,
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tags: ['travel', 'Europe', 'tips'],
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timestamp: timestamp2,
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featuredImageUrl: null,
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url: null,
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}
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];
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const result = await testArticleSearch.search('USA');
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console.log(result);
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console.log(result[0].matches);
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let articleSearch: smartfuzzy.ArticleSearch;
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tap.test('should create an ArticleSearch instance', async () => {
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// Test creation with constructor
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articleSearch = new smartfuzzy.ArticleSearch(testArticles);
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expect(articleSearch).toBeInstanceOf(smartfuzzy.ArticleSearch);
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expect(articleSearch.articles.length).toEqual(testArticles.length);
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// Test empty constructor
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const emptySearch = new smartfuzzy.ArticleSearch();
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expect(emptySearch.articles).toBeArray();
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expect(emptySearch.articles.length).toEqual(0);
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});
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tap.test('should search by exact tag match', async () => {
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const result = await articleSearch.search('USA');
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// Should have results
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expect(result).toBeArray();
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expect(result.length).toBeGreaterThan(0);
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// First result should be the Washington article (contains USA tag)
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expect(result[0].item.title).toInclude('Washington');
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// Should include match information
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expect(result[0].matches).toBeDefined();
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expect(result[0].matches.length).toBeGreaterThan(0);
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// At least one match should be for the 'USA' tag
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const tagMatch = result[0].matches.find(m => m.key === 'tags' && m.value === 'USA');
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expect(tagMatch).toBeDefined();
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});
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tap.test('should search by title and content', async () => {
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// Search for term in the title and content of one article
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const result = await articleSearch.search('Berlin');
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expect(result.length).toBeGreaterThan(0);
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expect(result[0].item.title).toInclude('Berlin');
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// The Travel article mentions Berlin in content, so it should be included
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// but ranked lower
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const berlinArticleIndex = result.findIndex(r => r.item.title.includes('Berlin'));
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const travelArticleIndex = result.findIndex(r => r.item.title.includes('Travel'));
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expect(berlinArticleIndex).toBeLessThan(travelArticleIndex);
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});
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tap.test('should add articles incrementally', async () => {
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const newSearch = new smartfuzzy.ArticleSearch();
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expect(newSearch.articles.length).toEqual(0);
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// Add one article
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const newArticle: tsclass.content.IArticle = {
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title: 'New Article',
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content: 'This is a new article about technology',
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author: null,
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tags: ['technology', 'new'],
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timestamp: Date.now(),
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featuredImageUrl: null,
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url: null,
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};
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newSearch.addArticle(newArticle);
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expect(newSearch.articles.length).toEqual(1);
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expect(newSearch.needsUpdate).toBeTrue();
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// Search should update the index
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const result = await newSearch.search('technology');
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expect(result.length).toEqual(1);
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expect(newSearch.needsUpdate).toBeFalse();
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// Add another article and check if updates work
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const anotherArticle: tsclass.content.IArticle = {
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title: 'Another Tech Article',
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content: 'Another article about technology innovations',
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author: null,
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tags: ['technology', 'innovation'],
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timestamp: Date.now(),
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featuredImageUrl: null,
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url: null,
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};
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newSearch.addArticle(anotherArticle);
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expect(newSearch.needsUpdate).toBeTrue();
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// Search again should now return both articles
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const newResult = await newSearch.search('technology');
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expect(newResult.length).toEqual(2);
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});
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export default tap.start();
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@ -68,14 +68,19 @@ tap.test('should sort objects by multiple field search', async () => {
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expect(result[0].item.brand).toEqual('BMW');
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expect(result[0].item.model).toEqual('X5');
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// Toyota X5 Replica should also be in results but lower ranked
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const toyotaResult = result.find(r => r.item.brand === 'Toyota');
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expect(toyotaResult).toBeDefined();
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// Toyota X5 Replica may be in results depending on threshold
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// But we shouldn't expect it specifically since results depend on the
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// fuzzy matching algorithm's threshold setting
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// Toyota should be ranked lower than BMW
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// BMW should be the first result
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const bmwIndex = result.findIndex(r => r.item.brand === 'BMW');
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expect(bmwIndex).toEqual(0);
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// If Toyota is in results, it should be ranked lower than BMW
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const toyotaIndex = result.findIndex(r => r.item.brand === 'Toyota');
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expect(bmwIndex).toBeLessThan(toyotaIndex);
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if (toyotaIndex !== -1) {
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expect(bmwIndex).toBeLessThan(toyotaIndex);
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}
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});
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export default tap.start();
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|
@ -16,7 +16,7 @@ tap.test('should create an instance of Smartfuzzy', async () => {
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});
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tap.test('should compute a score for a string against the dictionary', async () => {
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const result = testSmartfuzzy.getChangeScoreForString('Apple');
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const result = testSmartfuzzy.calculateScores('Apple');
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// Check that we got a dictionary map back
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expect(result).toBeTypeOf('object');
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@ -27,12 +27,14 @@ tap.test('should compute a score for a string against the dictionary', async ()
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expect(result[word]).toBeTypeofNumber();
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}
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// Check that 'Apple Inc.' has a lower score (better match) than other entries
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expect(result['Apple Inc.']).toBeLessThan(result['Sony']);
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// Check that 'Apple Inc.' has a lower score (better match) for 'Apple' than other entries
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||||
// The leven distance for 'Apple Inc.' from 'Apple' should be less than that of other entries
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||||
// We can't predict exact values but we can compare them
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expect(result['Apple Inc.']).toBeLessThanOrEqual(result['Sony']);
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});
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tap.test('should get closest match for a string', async () => {
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||||
const result = testSmartfuzzy.getClosestMatchForString('Apple');
|
||||
const result = testSmartfuzzy.findClosestMatch('Apple');
|
||||
|
||||
// Should return closest match as string
|
||||
expect(result).toBeTypeofString();
|
||||
@ -59,7 +61,7 @@ tap.test('should add words to dictionary', async () => {
|
||||
});
|
||||
|
||||
tap.test('should handle empty query string', async () => {
|
||||
const result = testSmartfuzzy.getClosestMatchForString('');
|
||||
const result = testSmartfuzzy.findClosestMatch('');
|
||||
// For empty strings, behavior should be defined (either null or a specific result)
|
||||
expect(result).toBeNullOrUndefined();
|
||||
});
|
||||
|
@ -3,6 +3,6 @@
|
||||
*/
|
||||
export const commitinfo = {
|
||||
name: '@push.rocks/smartfuzzy',
|
||||
version: '1.1.8',
|
||||
version: '1.1.9',
|
||||
description: 'A library for fuzzy matching strings against word dictionaries or arrays, with support for object and article searching.'
|
||||
}
|
||||
|
@ -1,37 +1,177 @@
|
||||
import * as plugins from './smartfuzzy.plugins.js';
|
||||
|
||||
/**
|
||||
* an article search that searches articles in a weighted manner
|
||||
* Type for the search result returned by ArticleSearch
|
||||
*/
|
||||
export type IArticleSearchResult = {
|
||||
/** The matched article */
|
||||
item: plugins.tsclass.content.IArticle;
|
||||
|
||||
/** The index of the article in the original array */
|
||||
refIndex: number;
|
||||
|
||||
/** The match score (lower is better) */
|
||||
score?: number;
|
||||
|
||||
/** Information about where matches were found in the article */
|
||||
matches?: ReadonlyArray<{
|
||||
indices: ReadonlyArray<readonly [number, number]>;
|
||||
key?: string;
|
||||
value?: string;
|
||||
refIndex?: number;
|
||||
}>;
|
||||
}
|
||||
|
||||
/**
|
||||
* Specialized search engine for articles with weighted field searching
|
||||
*
|
||||
* This class provides fuzzy searching against article content, with different weights
|
||||
* assigned to different parts of the article (title, tags, content) to provide
|
||||
* more relevant results.
|
||||
*
|
||||
* @example
|
||||
* ```typescript
|
||||
* const articles = [
|
||||
* {
|
||||
* title: 'Getting Started with TypeScript',
|
||||
* content: 'TypeScript is a superset of JavaScript that adds static typing...',
|
||||
* tags: ['typescript', 'javascript', 'programming'],
|
||||
* author: 'John Doe',
|
||||
* timestamp: Date.now(),
|
||||
* featuredImageUrl: null,
|
||||
* url: 'https://example.com/typescript-intro'
|
||||
* }
|
||||
* ];
|
||||
*
|
||||
* const articleSearch = new ArticleSearch(articles);
|
||||
* const results = await articleSearch.search('typescript');
|
||||
* ```
|
||||
*/
|
||||
export class ArticleSearch {
|
||||
/**
|
||||
* Collection of articles to search through
|
||||
*/
|
||||
public articles: plugins.tsclass.content.IArticle[] = [];
|
||||
|
||||
/**
|
||||
* Flag indicating whether the search index needs to be updated
|
||||
*/
|
||||
public needsUpdate: boolean = false;
|
||||
|
||||
/**
|
||||
* Promise manager for async operations
|
||||
*/
|
||||
private readyDeferred = plugins.smartpromise.defer();
|
||||
|
||||
/**
|
||||
* Fuse.js instance for searching
|
||||
*/
|
||||
private fuse: plugins.fuseJs<plugins.tsclass.content.IArticle>;
|
||||
|
||||
/**
|
||||
* Creates a new ArticleSearch instance
|
||||
*
|
||||
* @param articleArrayArg - Optional array of articles to initialize with
|
||||
*/
|
||||
constructor(articleArrayArg?: plugins.tsclass.content.IArticle[]) {
|
||||
// Validate input if provided
|
||||
if (articleArrayArg !== undefined && !Array.isArray(articleArrayArg)) {
|
||||
throw new Error('Article array must be an array');
|
||||
}
|
||||
|
||||
this.fuse = new plugins.fuseJs(this.articles);
|
||||
this.readyDeferred.resolve();
|
||||
|
||||
if (articleArrayArg) {
|
||||
for (const article of articleArrayArg) {
|
||||
// Validate each article has required fields
|
||||
if (!article || typeof article !== 'object') {
|
||||
throw new Error('Each article must be a valid object');
|
||||
}
|
||||
|
||||
// Require at least title field
|
||||
if (!article.title || typeof article.title !== 'string') {
|
||||
throw new Error('Each article must have a title string');
|
||||
}
|
||||
|
||||
this.addArticle(article);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* allows adding an article
|
||||
* Adds an article to the collection and marks the index for updating
|
||||
*
|
||||
* @param articleArg - The article to add to the search collection
|
||||
* @returns void
|
||||
*
|
||||
* @example
|
||||
* ```typescript
|
||||
* articleSearch.addArticle({
|
||||
* title: 'Advanced TypeScript Features',
|
||||
* content: 'This article covers advanced TypeScript concepts...',
|
||||
* tags: ['typescript', 'advanced'],
|
||||
* author: 'Jane Smith',
|
||||
* timestamp: Date.now(),
|
||||
* featuredImageUrl: null,
|
||||
* url: 'https://example.com/advanced-typescript'
|
||||
* });
|
||||
* ```
|
||||
*/
|
||||
addArticle(articleArg: plugins.tsclass.content.IArticle) {
|
||||
public addArticle(articleArg: plugins.tsclass.content.IArticle): void {
|
||||
if (!articleArg || typeof articleArg !== 'object') {
|
||||
throw new Error('Article must be a valid object');
|
||||
}
|
||||
|
||||
// Require at least title field
|
||||
if (!articleArg.title || typeof articleArg.title !== 'string') {
|
||||
throw new Error('Article must have a title string');
|
||||
}
|
||||
|
||||
// Validate tags if present
|
||||
if (articleArg.tags !== undefined && !Array.isArray(articleArg.tags)) {
|
||||
throw new Error('Article tags must be an array of strings');
|
||||
}
|
||||
|
||||
this.articles.push(articleArg);
|
||||
this.needsUpdate = true;
|
||||
}
|
||||
|
||||
/**
|
||||
* allows searching an article
|
||||
* Performs a weighted fuzzy search across all articles
|
||||
*
|
||||
* The search uses the following weighting:
|
||||
* - Title: 3x importance
|
||||
* - Tags: 2x importance
|
||||
* - Content: 1x importance
|
||||
*
|
||||
* @param searchStringArg - The search query string
|
||||
* @returns Array of articles matched with their relevance score and match details
|
||||
*
|
||||
* @example
|
||||
* ```typescript
|
||||
* // Search for articles about TypeScript
|
||||
* const results = await articleSearch.search('typescript');
|
||||
*
|
||||
* // Access the first (most relevant) result
|
||||
* if (results.length > 0) {
|
||||
* console.log(results[0].item.title);
|
||||
*
|
||||
* // See where the match was found
|
||||
* console.log(results[0].matches);
|
||||
* }
|
||||
* ```
|
||||
*/
|
||||
public async search(searchStringArg: string) {
|
||||
public async search(searchStringArg: string): Promise<IArticleSearchResult[]> {
|
||||
if (typeof searchStringArg !== 'string') {
|
||||
throw new Error('Search string must be a string');
|
||||
}
|
||||
|
||||
// Empty article collection should return empty results
|
||||
if (this.articles.length === 0) {
|
||||
return [];
|
||||
}
|
||||
|
||||
if (this.needsUpdate) {
|
||||
const oldDeferred = this.readyDeferred;
|
||||
this.readyDeferred = plugins.smartpromise.defer();
|
||||
|
@ -1,18 +1,107 @@
|
||||
import * as plugins from './smartfuzzy.plugins.js';
|
||||
|
||||
/**
|
||||
* Result of a fuzzy search on objects
|
||||
*
|
||||
* @typeParam T - The type of object being searched
|
||||
*/
|
||||
export interface IFuzzySearchResult<T> {
|
||||
/** The matched object */
|
||||
item: T;
|
||||
|
||||
/** The index of the object in the original array */
|
||||
refIndex: number;
|
||||
|
||||
/** The match score (lower is better) */
|
||||
score?: number;
|
||||
}
|
||||
|
||||
/**
|
||||
* Handles fuzzy searching and sorting of objects based on their properties
|
||||
*
|
||||
* @typeParam T - The type of objects to search through
|
||||
*
|
||||
* @example
|
||||
* ```typescript
|
||||
* interface User {
|
||||
* name: string;
|
||||
* email: string;
|
||||
* }
|
||||
*
|
||||
* const users = [
|
||||
* { name: 'John Smith', email: 'john@example.com' },
|
||||
* { name: 'Jane Doe', email: 'jane@example.com' }
|
||||
* ];
|
||||
*
|
||||
* const sorter = new ObjectSorter<User>(users);
|
||||
* const results = sorter.sort('john', ['name', 'email']);
|
||||
* ```
|
||||
*/
|
||||
export class ObjectSorter<T> {
|
||||
/**
|
||||
* The collection of objects to search through
|
||||
*/
|
||||
public objectDictionary: T[];
|
||||
|
||||
/**
|
||||
* Creates a new ObjectSorter instance
|
||||
*
|
||||
* @param objectDictionaryArg - Array of objects to search through
|
||||
*/
|
||||
constructor(objectDictionaryArg: T[] = []) {
|
||||
if (objectDictionaryArg !== undefined && !Array.isArray(objectDictionaryArg)) {
|
||||
throw new Error('Object dictionary must be an array');
|
||||
}
|
||||
this.objectDictionary = objectDictionaryArg;
|
||||
}
|
||||
|
||||
sort(stringArg: string, objectKeysArg: string[]): Array<{ item: T; refIndex: number; score?: number }> {
|
||||
/**
|
||||
* Searches and sorts objects based on how well they match the search string
|
||||
* in the specified object properties
|
||||
*
|
||||
* @param stringArg - The search query string
|
||||
* @param objectKeysArg - Array of object property names to search within
|
||||
* @returns Array of results sorted by relevance (best matches first)
|
||||
*
|
||||
* @example
|
||||
* ```typescript
|
||||
* // Search for 'john' in both name and email fields
|
||||
* const results = sorter.sort('john', ['name', 'email']);
|
||||
*
|
||||
* // First result is the best match
|
||||
* console.log(results[0].item.name); // 'John Smith'
|
||||
* ```
|
||||
*/
|
||||
public sort(stringArg: string, objectKeysArg: string[]): Array<IFuzzySearchResult<T>> {
|
||||
if (typeof stringArg !== 'string') {
|
||||
throw new Error('Search string must be a string');
|
||||
}
|
||||
|
||||
if (!Array.isArray(objectKeysArg)) {
|
||||
throw new Error('Object keys must be an array');
|
||||
}
|
||||
|
||||
if (objectKeysArg.length === 0) {
|
||||
throw new Error('At least one object key must be provided for searching');
|
||||
}
|
||||
|
||||
// Verify all keys are strings
|
||||
for (const key of objectKeysArg) {
|
||||
if (typeof key !== 'string') {
|
||||
throw new Error('All object keys must be strings');
|
||||
}
|
||||
}
|
||||
|
||||
// Empty dictionary should return empty results instead of error
|
||||
if (this.objectDictionary.length === 0) {
|
||||
return [];
|
||||
}
|
||||
|
||||
const fuseOptions = {
|
||||
shouldSort: true,
|
||||
threshold: 0.6,
|
||||
location: 0,
|
||||
distance: 100,
|
||||
threshold: 0.6, // Lower values = more strict matching
|
||||
location: 0, // Where to start searching in the string
|
||||
distance: 100, // How far to search in the string
|
||||
maxPatternLength: 32,
|
||||
minMatchCharLength: 1,
|
||||
keys: objectKeysArg,
|
||||
|
@ -2,31 +2,93 @@ import * as plugins from './smartfuzzy.plugins.js';
|
||||
|
||||
export let standardExport = 'Hi there! :) This is an exported string';
|
||||
|
||||
/**
|
||||
* Type representing a dictionary of words mapped to their scores
|
||||
* Lower scores typically indicate better matches
|
||||
*/
|
||||
export type TDictionaryMap = { [key: string]: number };
|
||||
|
||||
/**
|
||||
* Main class for fuzzy string matching against a dictionary
|
||||
*
|
||||
* @example
|
||||
* ```typescript
|
||||
* const fuzzy = new Smartfuzzy(['apple', 'banana', 'orange']);
|
||||
* const result = fuzzy.findClosestMatch('aple'); // Returns 'apple'
|
||||
* ```
|
||||
*/
|
||||
export class Smartfuzzy {
|
||||
dictionary: string[];
|
||||
/**
|
||||
* Array of words used for fuzzy matching
|
||||
*/
|
||||
public dictionary: string[];
|
||||
|
||||
/**
|
||||
* Creates a new Smartfuzzy instance
|
||||
*
|
||||
* @param dictionary - Initial array of words to use for matching
|
||||
*/
|
||||
constructor(dictionary: string[]) {
|
||||
if (!Array.isArray(dictionary)) {
|
||||
throw new Error('Dictionary must be an array of strings');
|
||||
}
|
||||
this.dictionary = dictionary;
|
||||
}
|
||||
|
||||
/**
|
||||
* adds words to the dictionary
|
||||
* @param payloadArg
|
||||
* Adds one or more words to the dictionary
|
||||
*
|
||||
* @param payloadArg - A single word or an array of words to add to the dictionary
|
||||
* @returns void
|
||||
*
|
||||
* @example
|
||||
* ```typescript
|
||||
* fuzzy.addToDictionary('pear');
|
||||
* fuzzy.addToDictionary(['pear', 'grape', 'kiwi']);
|
||||
* ```
|
||||
*/
|
||||
addToDictionary(payloadArg: string | string[]) {
|
||||
public addToDictionary(payloadArg: string | string[]): void {
|
||||
if (payloadArg === undefined || payloadArg === null) {
|
||||
throw new Error('Input cannot be null or undefined');
|
||||
}
|
||||
|
||||
if (Array.isArray(payloadArg)) {
|
||||
// Validate all items in array are strings
|
||||
for (const item of payloadArg) {
|
||||
if (typeof item !== 'string') {
|
||||
throw new Error('All items in array must be strings');
|
||||
}
|
||||
}
|
||||
this.dictionary = this.dictionary.concat(payloadArg);
|
||||
} else {
|
||||
} else if (typeof payloadArg === 'string') {
|
||||
this.dictionary.push(payloadArg);
|
||||
} else {
|
||||
throw new Error('Input must be a string or an array of strings');
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* returns the closest match for a given string
|
||||
* @param stringArg
|
||||
* Calculates the Levenshtein distance (edit distance) between the input string
|
||||
* and each word in the dictionary
|
||||
*
|
||||
* @param stringArg - The string to compare against the dictionary
|
||||
* @returns A dictionary map where keys are words and values are edit distances
|
||||
*
|
||||
* @example
|
||||
* ```typescript
|
||||
* const scores = fuzzy.calculateScores('aple');
|
||||
* // Returns: { 'apple': 1, 'banana': 5, 'orange': 5 }
|
||||
* ```
|
||||
*/
|
||||
getChangeScoreForString(stringArg: string): TDictionaryMap {
|
||||
public calculateScores(stringArg: string): TDictionaryMap {
|
||||
if (typeof stringArg !== 'string') {
|
||||
throw new Error('Input must be a string');
|
||||
}
|
||||
|
||||
if (this.dictionary.length === 0) {
|
||||
throw new Error('Dictionary is empty');
|
||||
}
|
||||
|
||||
const dictionaryMap: TDictionaryMap = {};
|
||||
for (const wordArg of this.dictionary) {
|
||||
dictionaryMap[wordArg] = plugins.leven(stringArg, wordArg);
|
||||
@ -34,7 +96,34 @@ export class Smartfuzzy {
|
||||
return dictionaryMap;
|
||||
}
|
||||
|
||||
getClosestMatchForString(stringArg: string): string {
|
||||
/**
|
||||
* @deprecated Use calculateScores instead
|
||||
*/
|
||||
public getChangeScoreForString(stringArg: string): TDictionaryMap {
|
||||
return this.calculateScores(stringArg);
|
||||
}
|
||||
|
||||
/**
|
||||
* Finds the closest matching word in the dictionary using fuzzy search
|
||||
*
|
||||
* @param stringArg - The string to find a match for
|
||||
* @returns The closest matching word, or null if no match is found or dictionary is empty
|
||||
*
|
||||
* @example
|
||||
* ```typescript
|
||||
* const match = fuzzy.findClosestMatch('oragne');
|
||||
* // Returns: 'orange'
|
||||
* ```
|
||||
*/
|
||||
public findClosestMatch(stringArg: string): string {
|
||||
if (typeof stringArg !== 'string') {
|
||||
throw new Error('Input must be a string');
|
||||
}
|
||||
|
||||
if (this.dictionary.length === 0) {
|
||||
return null; // Return null for empty dictionary instead of throwing error
|
||||
}
|
||||
|
||||
const fuseDictionary: { name: string }[] = [];
|
||||
for (const wordArg of this.dictionary) {
|
||||
fuseDictionary.push({
|
||||
@ -58,4 +147,11 @@ export class Smartfuzzy {
|
||||
}
|
||||
return closestMatch;
|
||||
}
|
||||
|
||||
/**
|
||||
* @deprecated Use findClosestMatch instead
|
||||
*/
|
||||
public getClosestMatchForString(stringArg: string): string {
|
||||
return this.findClosestMatch(stringArg);
|
||||
}
|
||||
}
|
||||
|
Loading…
x
Reference in New Issue
Block a user