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Replace string-comparison with text-similarity-node for improved perf… #5429
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Replace string-comparison with text-similarity-node for improved perf… #5429
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WalkthroughThis PR adds a new string similarity utility to packages/utils: a TypeScript module implementing compareTwoStrings, extractBestCandidates, and compareWithCosine; new BestMatch and BestMatchResult interfaces; unit tests exercising many scenarios; an export re-export from utils index; and a new dependency "text-similarity-node" in packages/utils/package.json. Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20-30 minutes
Pre-merge checks and finishing touches✅ Passed checks (3 passed)
✨ Finishing touches🧪 Generate unit tests (beta)
📜 Recent review detailsConfiguration used: CodeRabbit UI Review profile: CHILL Plan: Pro 📒 Files selected for processing (1)
🚧 Files skipped from review as they are similar to previous changes (1)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
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Actionable comments posted: 2
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (4)
packages/utils/package.json(1 hunks)packages/utils/src/utils/__tests__/string-similarity.ts(1 hunks)packages/utils/src/utils/index.js(1 hunks)packages/utils/src/utils/string-similarity.ts(1 hunks)
🧰 Additional context used
🧬 Code graph analysis (1)
packages/utils/src/utils/__tests__/string-similarity.ts (1)
packages/utils/src/utils/string-similarity.ts (3)
compareTwoStrings(23-34)extractBestCandidates(56-91)compareWithCosine(103-118)
🔇 Additional comments (6)
packages/utils/src/utils/index.js (1)
8-8: LGTM!The re-export correctly exposes the new string-similarity module through the utils barrel export.
packages/utils/src/utils/__tests__/string-similarity.ts (1)
1-237: Excellent test coverage!The test suite is comprehensive, covering:
- Basic functionality and edge cases
- Case sensitivity handling
- Real-world scenarios (webpack modules, Next.js build outputs, file paths with hashes)
- Performance characteristics
- Unicode and special characters
The tests provide strong validation for the string similarity implementation.
packages/utils/src/utils/string-similarity.ts (3)
1-12: LGTM!The wildcard import and interface definitions are appropriate and well-structured.
56-91: LGTM!The function correctly handles edge cases (empty inputs) and efficiently finds the best match from candidates. The logic is sound and well-implemented.
1-118: Manual test verification required—dependency and API usage confirmed.The library dependency is properly declared (
text-similarity-node: ^1.0.1in packages/utils/package.json) and the API usage is correct:
jaroWinkler(str1, str2, caseSensitive)matches expected signature with defaultscosine(str1, str2, useWords, caseSensitive)matches expected signature with defaultsHowever, tests cannot execute in the sandbox environment. You must manually verify:
- The test suite passes:
npm testin the packages/utils directory- All 26 tests pass (as mentioned in the review)
- The native C++ module compiles successfully on your target platforms
packages/utils/package.json (1)
41-41: No concerns found—the library version is current and has no known security advisories.The verification confirms that
text-similarity-node@1.0.1is the latest stable version on npm and has no published security vulnerabilities. The dependency is safe to use as specified.
| export const compareTwoStrings = (str1: string, str2: string, caseSensitive = false): number => { | ||
| if (!str1 || !str2) { | ||
| return 0; | ||
| } | ||
|
|
||
| if (str1 === str2) { | ||
| return 1; | ||
| } | ||
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| // Use Jaro-Winkler algorithm for better performance with file paths and names | ||
| return textSimilarity.similarity.jaroWinkler(str1, str2, caseSensitive); | ||
| }; |
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Critical bug: Case-insensitive comparison broken by early exact equality check.
The exact equality check on line 28 uses ===, which is always case-sensitive. This breaks case-insensitive comparison. For example, compareTwoStrings('Hello', 'hello', false) should return 1 (as expected by the test at line 23-24), but the current implementation will:
- Pass through the
===check (returns false) - Call
jaroWinkler('Hello', 'hello', false)which returns a value < 1
Apply this diff to fix the issue:
export const compareTwoStrings = (str1: string, str2: string, caseSensitive = false): number => {
if (!str1 || !str2) {
return 0;
}
- if (str1 === str2) {
+ // Normalize for case-insensitive comparison
+ const normalizedStr1 = caseSensitive ? str1 : str1.toLowerCase();
+ const normalizedStr2 = caseSensitive ? str2 : str2.toLowerCase();
+
+ if (normalizedStr1 === normalizedStr2) {
return 1;
}
// Use Jaro-Winkler algorithm for better performance with file paths and names
return textSimilarity.similarity.jaroWinkler(str1, str2, caseSensitive);
};📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| export const compareTwoStrings = (str1: string, str2: string, caseSensitive = false): number => { | |
| if (!str1 || !str2) { | |
| return 0; | |
| } | |
| if (str1 === str2) { | |
| return 1; | |
| } | |
| // Use Jaro-Winkler algorithm for better performance with file paths and names | |
| return textSimilarity.similarity.jaroWinkler(str1, str2, caseSensitive); | |
| }; | |
| export const compareTwoStrings = (str1: string, str2: string, caseSensitive = false): number => { | |
| if (!str1 || !str2) { | |
| return 0; | |
| } | |
| // Normalize for case-insensitive comparison | |
| const normalizedStr1 = caseSensitive ? str1 : str1.toLowerCase(); | |
| const normalizedStr2 = caseSensitive ? str2 : str2.toLowerCase(); | |
| if (normalizedStr1 === normalizedStr2) { | |
| return 1; | |
| } | |
| // Use Jaro-Winkler algorithm for better performance with file paths and names | |
| return textSimilarity.similarity.jaroWinkler(str1, str2, caseSensitive); | |
| }; |
🤖 Prompt for AI Agents
In packages/utils/src/utils/string-similarity.ts around lines 23 to 34, the
early exact equality check uses === which is always case-sensitive and breaks
case-insensitive mode; change that check to respect the caseSensitive parameter
(i.e., if caseSensitive is true use ===, otherwise compare str1.toLowerCase()
=== str2.toLowerCase()) so case-insensitive equal strings return 1 and only fall
through to jaroWinkler when they truly differ.
| export const compareWithCosine = ( | ||
| str1: string, | ||
| str2: string, | ||
| useWords = true, | ||
| caseSensitive = false, | ||
| ): number => { | ||
| if (!str1 || !str2) { | ||
| return 0; | ||
| } | ||
|
|
||
| if (str1 === str2) { | ||
| return 1; | ||
| } | ||
|
|
||
| return textSimilarity.similarity.cosine(str1, str2, useWords, caseSensitive); | ||
| }; |
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Critical bug: Same case-insensitive comparison issue.
This function has the same bug as compareTwoStrings. The exact equality check on line 113 uses ===, which breaks case-insensitive comparison.
Apply this diff to fix the issue:
export const compareWithCosine = (
str1: string,
str2: string,
useWords = true,
caseSensitive = false,
): number => {
if (!str1 || !str2) {
return 0;
}
- if (str1 === str2) {
+ // Normalize for case-insensitive comparison
+ const normalizedStr1 = caseSensitive ? str1 : str1.toLowerCase();
+ const normalizedStr2 = caseSensitive ? str2 : str2.toLowerCase();
+
+ if (normalizedStr1 === normalizedStr2) {
return 1;
}
return textSimilarity.similarity.cosine(str1, str2, useWords, caseSensitive);
};🤖 Prompt for AI Agents
In packages/utils/src/utils/string-similarity.ts around lines 103 to 118, the
exact-equality check uses === which ignores the caseSensitive parameter and
breaks case-insensitive comparisons; change the equality check to compare
normalized strings: if caseSensitive is false, compare str1.toLowerCase() ===
str2.toLowerCase(), otherwise keep the existing strict equality, then proceed to
call textSimilarity.similarity.cosine with the original parameters.
|
Review the following changes in direct dependencies. Learn more about Socket for GitHub.
|
Migration from string-comparison to text-similarity-node
Summary
This migration replaces the previous string comparison implementation with
text-similarity-node, a high-performance C++ native Node.js library that provides significant performance and memory improvements.Motivation
After conducting comprehensive benchmarks comparing different string similarity libraries,
text-similarity-nodeemerged as the clear winner:Performance Comparison
Key Benefits
What Changed
Package Dependencies
Updated:
packages/utils/package.json{ "dependencies": { "text-similarity-node": "^1.0.1" } }Removed: No
string-comparisondependency (was never explicitly listed)Implementation
File:
packages/utils/src/utils/string-similarity.tsThe implementation now uses
text-similarity-node's Jaro-Winkler algorithm, which is optimized for:Exported Functions
All functions remain available with the same API:
compareTwoStrings(str1, str2, caseSensitive?)Compares two strings and returns a similarity score between 0 and 1.
extractBestCandidates(mainString, targetStrings, caseSensitive?)Finds the best matching strings from a list of candidates, sorted by similarity score.
compareWithCosine(str1, str2, tokenization?)Alternative comparison using cosine similarity with configurable tokenization.
Testing
All existing tests pass successfully:
Test coverage includes:
Use Cases
This library is used throughout the codebase for:
Migration Impact
✅ Zero breaking changes - API remains fully compatible
✅ All tests passing - 100% backward compatibility verified
✅ Performance improvement - 4.4x faster with better memory efficiency
✅ Production ready - C++ native implementation is battle-tested
References
feature/replace-string-comparisonextractBestCandidatesfunctionBenchmark Details
The benchmarks were conducted using real-world scenarios from the bundle-stats codebase:
Both libraries produced functionally equivalent results with compatible similarity scores, making
text-similarity-nodea clear choice due to its superior performance characteristics.Summary by CodeRabbit
New Features
Tests