Initial upload: git-insights-cli with CI/CD workflow

src/analyzers/risky_commit.py

@@ -0,0 +1,49 @@
+from dataclasses import dataclass
+from typing import Any, Dict, List, Optional
+
+from src.analyzers.git_repository import GitRepository
+from src.models.data_structures import RiskyCommitAnalysis, Commit
+
+
+@dataclass
+class RiskyCommitDetector:
+    """Detects risky commits."""
+
+    repo: GitRepository
+    days: int
+
+    def analyze(self) -> Optional[RiskyCommitAnalysis]:
+        """Detect risky commits."""
+        commits = self.repo.get_commits()
+
+        if not commits:
+            return None
+
+        large_change_commits = []
+        merge_commits = []
+        revert_commits = []
+
+        for commit in commits:
+            if commit.is_revert:
+                revert_commits.append(commit)
+            elif commit.is_merge:
+                merge_commits.append(commit)
+
+            threshold = 500
+            if commit.lines_added + commit.lines_deleted > threshold:
+                large_change_commits.append(commit)
+
+        total_risky = len(large_change_commits) + len(merge_commits) + len(revert_commits)
+        risk_score = total_risky / max(1, len(commits)) * 100
+
+        return RiskyCommitAnalysis(
+            total_risky_commits=total_risky,
+            large_change_commits=sorted(
+                large_change_commits,
+                key=lambda c: c.lines_added + c.lines_deleted,
+                reverse=True,
+            )[:20],
+            merge_commits=merge_commits[:20],
+            revert_commits=revert_commits[:20],
+            risk_score=risk_score,
+        )