⚡ Bolt: Optimize detectHighGrowthProcesses in RecommendationEngine.swift#434
⚡ Bolt: Optimize detectHighGrowthProcesses in RecommendationEngine.swift#434acebytes wants to merge 1 commit into
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Refactored `PredictiveEngine.detectHighGrowthProcesses(from:)` into a boolean check `isHighGrowthProcess(_:)` and updated `RecommendationEngine.generateRecommendations` to use a `for ... where` loop. This avoids intermediate array allocations and reduces memory churn when evaluating large process lists. Co-authored-by: acebytes <2820910+acebytes@users.noreply.github.com>
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| } | ||
| /// - Parameter entry: The process entry to evaluate. | ||
| /// - Returns: True if the process matches high-growth criteria. | ||
| static func isHighGrowthProcess(_ entry: ProcessEntryDTO) -> Bool { |
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Replacing detectHighGrowthProcesses(from:) removes the only symbol that CacheoutTests still compiles against; Tests/CacheoutTests/PredictiveEngineTests.swift has multiple calls to await engine.detectHighGrowthProcesses(from:), and Package.swift includes that directory as the CacheoutTests target. As committed, any test build that includes this target fails before running, so either retain a compatibility wrapper or update those tests to use isHighGrowthProcess(_:).
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💡 What: Refactored
PredictiveEngine.detectHighGrowthProcesses(from:)into a boolean checkisHighGrowthProcess(_:)and updatedRecommendationEngine.generateRecommendationsto use afor ... whereloop instead of iterating over an eagerly evaluated intermediate array.🎯 Why: To prevent the allocation of an intermediate array, avoiding memory churn and processing overhead during frequent process evaluation.
📊 Impact: Avoids allocating a new intermediate array for the entire process list (~400-600 processes typically) every time recommendations are generated, reducing memory churn overhead.
🔬 Measurement: Run the app and observe reduced memory allocations during background generation of process recommendations.
PR created automatically by Jules for task 8002687581008533940 started by @acebytes