feat(commits): semantic commit analysis with risk scoring (#32)#64
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Implements issue #32. Provides heuristic analysis of git commit history without requiring an LLM or external tools: - Classify: parses Conventional Commits (type, scope, breaking flag) - ScoreRisk: assigns RiskLow/Medium/High based on diff size, file count, breaking changes, reverts, and risk keywords in the message - FindSimilar: cosine similarity search over pre-computed embeddings - DetectPatterns: identifies repeated commit types and high-churn files - Summarize: aggregates risk signals across a set of similar commits Risk thresholds: score>=3 → High, score>=1 → Medium, else Low. Breaking changes and reverts always score High. Co-authored-by: Ona <[email protected]>
Siddhant-K-code
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Closes #32
Summary
Adds
pkg/commits— heuristic semantic analysis of git commit history. No LLM or external tools required.Features
Classify— parses Conventional Commits format (type(scope)!: description), setsType,Scope,BreakingScoreRisk— assignsRiskLow / RiskMedium / RiskHighbased on:FindSimilar— cosine similarity search over pre-computed embeddings, returns top-K above thresholdDetectPatterns— identifies repeated commit types and high-churn files (≥3 changes)Summarize— aggregates risk signals across a set of similar commits into aRiskSummaryRisk thresholds
Files
pkg/commits/commits.go— all types andAnalyzerimplementationpkg/commits/commits_test.go— 11 tests