将 @node-rs/jieba 更改为 WASM 版本以实现 0 占用规范 #343
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…t segmentation - Updated the dependency from `@node-rs/jieba` to `jieba-wasm` in package.json. - Refactored the text segmentation logic in `similarity.ts` to utilize the new `cut` function from `jieba-wasm`, enhancing compatibility and performance.
WalkthroughThe pull request involves updating the text segmentation library in the Changes
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🧹 Nitpick comments (1)
packages/long-memory/src/similarity.ts (1)
80-80: Consider adding error-handling for segmentation.When invoking
cut, if the input text is malformed or the WASM module encounters an error, there may be no graceful fallback. If failure is expected to be rare, at least consider capturing exceptions or employing a fallback segmentation method for critical paths.
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📒 Files selected for processing (2)
packages/long-memory/package.json(1 hunks)packages/long-memory/src/similarity.ts(2 hunks)
🔇 Additional comments (2)
packages/long-memory/src/similarity.ts (1)
1-1: Use caution with the new WASM import.
Switching from a native library to a WASM-based approach is typically safe, but confirm that the WASM module is properly loaded and initialized. Some WASM libraries require async setup routines or additional steps before calling cut. Verify any necessary initialization steps for your environment to avoid potential runtime errors.
packages/long-memory/package.json (1)
52-52: Validate version constraints for jieba-wasm.
The new dependency "jieba-wasm": "^2.2.0" looks correct. However, ensure that any potential vulnerabilities or major bug fixes are addressed by pinning or upgrading to the latest patch version if necessary.
…ity.ts - Improved the BM25 similarity calculation by introducing term frequency maps for both documents. - Added a smoothing factor and adjusted the scoring formula to normalize against the theoretical maximum score. - Enhanced code readability and maintainability by restructuring the logic for term frequency and IDF calculations.
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🔭 Outside diff range comments (1)
packages/long-memory/src/similarity.ts (1)
Missing test coverage for critical text similarity functionality
The codebase analysis reveals that there are no test files for the
TextTokenizerandSimilarityCalculatorclasses in thepackages/long-memorypackage. This is concerning given the recent changes:
- Integration of WASM-based tokenization with
jieba-wasm- Multi-language support (Chinese, Japanese, English)
- Implementation of BM25 similarity calculation
- Complex text processing and similarity calculations
Test coverage is essential for:
- Validating the WASM tokenization accuracy
- Ensuring correct language detection and processing
- Verifying similarity calculations (cosine, levenshtein, jaccard, BM25)
- Edge cases handling (empty strings, mixed languages, special characters)
- Weight validation and normalization
🔗 Analysis chain
Line range hint
1-231: Verify test coverage for the updated implementation.Please ensure that the test suite covers:
- WASM-based tokenization with various input types
- BM25 similarity calculation with the new implementation
- Edge cases with empty strings and different languages
Let's check for existing tests:
Let's also check the actual implementation to see what we need to test:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for test files covering similarity functionality fd -e test.ts -e spec.ts similarityLength of output: 37
Script:
#!/bin/bash # Let's try a broader search for test files fd test -e ts # Also search for similarity-related test patterns using ripgrep rg -l "describe.*Similar|test.*Similar|similarity" --type tsLength of output: 653
Script:
#!/bin/bash # Search for similarity-related class and function implementations ast-grep --pattern 'class SimilarityCalculator { $$$ }' # Search for test patterns in the codebase rg "TextTokenizer|SimilarityCalculator" -A 5 --type tsLength of output: 16452
Script:
#!/bin/bash # Let's search for test files in the long-memory package specifically fd test -e ts -p packages/long-memory/ # Let's also check for any test files that might have been moved or renamed rg -l "describe.*TextTokenizer|test.*TextTokenizer|describe.*Similarity|test.*Similarity" --type ts packages/long-memory/ # Let's check if there are any test files in __tests__ directory fd . packages/long-memory/__tests__/Length of output: 322
🧹 Nitpick comments (1)
packages/long-memory/src/similarity.ts (1)
189-231: Enhance BM25 implementation efficiency and accuracy.The BM25 implementation has been improved with proper smoothing and normalization. However, there are opportunities for optimization:
- Document Length Calculation:
-const avgDocLength = (doc1Length + doc2Length) / 2 +const avgDocLength = Math.max(doc1Length, doc2Length)
- Document Frequency:
-const docFreq = (termFreqDoc2.get(term) || 0) > 0 ? 1 : 0 +const docFreq = ((termFreqDoc1.get(term) || 0) > 0 ? 1 : 0) + ((termFreqDoc2.get(term) || 0) > 0 ? 1 : 0)
- Performance Optimization:
-const uniqueTerms = new Set([...tokens1, ...tokens2]) +const uniqueTerms = new Set(tokens1) tokens1.forEach((token) => { termFreqDoc1.set(token, (termFreqDoc1.get(token) || 0) + 1) }) tokens2.forEach((token) => { termFreqDoc2.set(token, (termFreqDoc2.get(token) || 0) + 1 + uniqueTerms.add(token) })
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📒 Files selected for processing (1)
packages/long-memory/src/similarity.ts(3 hunks)
🔇 Additional comments (1)
packages/long-memory/src/similarity.ts (1)
1-1: LGTM! Verify WASM initialization.
The switch to jieba-wasm aligns with the PR objective. The implementation maintains the same interface, ensuring compatibility.
Let's verify if there are any WASM initialization requirements that need to be handled:
Also applies to: 80-80
✅ Verification successful
Let me search specifically for jieba-wasm initialization patterns.
Let me check if there are any initialization requirements in the jieba-wasm package by looking at its usage in the codebase.
No initialization required for jieba-wasm
Based on the usage patterns found in the codebase, the jieba-wasm package is being used directly through the cut function without any explicit initialization requirements. The function is imported and used straightforwardly in the tokenization process, suggesting that any necessary WASM initialization is handled internally by the package.
- The only usage is in
packages/long-memory/src/similarity.ts:80wherecutis called directly - No initialization patterns or setup code is present or required
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for jieba-wasm initialization patterns in the codebase
rg -l "initJieba|init\(\)" --type ts
Length of output: 1304
Script:
#!/bin/bash
# Search for jieba-wasm initialization patterns
rg -A 5 "jieba-wasm" --type ts
Length of output: 418
Script:
#!/bin/bash
# Search for the usage of cut function from jieba-wasm
ast-grep --pattern 'cut($$$)'
Length of output: 126
Summary by CodeRabbit
Dependencies
@node-rs/jiebatojieba-wasm^2.2.0Improvements