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[FEAT] Pipeline Context 및 Analyzer Runner Skeleton 구현
[FEAT] Finding 후처리 및 RAG/LLM Stub 구현
[FEAT] Pipeline Orchestrator 및 Spring Callback Stub 연결
[Feat] RAG 문서 저장 파이프라인 구현
[DOCS] README 작성
[Feat] RAG Hybrid Search 구현
[Feat] LLM 기반 분석 결과 생성 파이프라인 구현
[FEAT] GitHub repository shallow clone 구현
[FEAT] Semgrep & CodeQL analyzer runner 구현
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Caution Review failedThe pull request is closed. ℹ️ Recent review info⚙️ Run configurationConfiguration used: Organization UI Review profile: CHILL Plan: Team Run ID: 📒 Files selected for processing (54)
📝 WalkthroughWalkthrough분석 요청에 GitHub token reference, 안전한 저장소 clone, Semgrep·CodeQL 실행, finding 정규화, RAG 검색, Claude 설명 생성, Spring callback을 연결했습니다. 관련 설정, schema, CLI 도구, 문서, 테스트도 추가했습니다. Changes분석 파이프라인
Estimated code review effort: 5 (Critical) | ~120 minutes Sequence Diagram(s)sequenceDiagram
participant Client
participant AnalyzeAPI
participant Redis
participant RQWorker
participant GitCollector
participant Analyzers
participant RAG
participant Claude
participant Spring
Client->>AnalyzeAPI: 분석 요청
AnalyzeAPI->>Redis: GitHub token reference 저장
AnalyzeAPI->>RQWorker: 분석 job 등록
RQWorker->>Redis: token reference 조회
RQWorker->>GitCollector: repository shallow clone
RQWorker->>Analyzers: Semgrep, CodeQL, Infra 실행
Analyzers-->>RQWorker: RawFinding 목록 반환
RQWorker->>RAG: evidence 검색
RAG-->>RQWorker: EvidenceDocument 목록 반환
RQWorker->>Claude: finding 설명 생성
Claude-->>RQWorker: ExplanationResult 반환
RQWorker->>Spring: 성공 또는 실패 callback
Poem
✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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Summary by CodeRabbit
새 기능
문서