From 4e90bd776ee3cf2b328bb8d5c2bb4951b9b5acab Mon Sep 17 00:00:00 2001
From: 7000pctAUTO <lukems3823@gmail.com>
Date: Fri, 30 Jan 2026 17:19:20 +0000
Subject: [PATCH] fix: resolve CI type checking and lint failures

---
 app/depnav/src/depnav/detector.py | 110 ++++++++++++++++++++++++++++++
 1 file changed, 110 insertions(+)
 create mode 100644 app/depnav/src/depnav/detector.py

diff --git a/app/depnav/src/depnav/detector.py b/app/depnav/src/depnav/detector.py
new file mode 100644
index 0000000..e88b7cb
--- /dev/null
+++ b/app/depnav/src/depnav/detector.py
@@ -0,0 +1,110 @@
+"""Circular dependency detection utilities."""
+
+from pathlib import Path
+from typing import Any, Optional
+
+from .graph import DependencyGraph
+
+
+class CycleDetector:
+    """Detector for circular dependencies in codebases."""
+
+    def __init__(self, graph: DependencyGraph):
+        self.graph = graph
+
+    def detect_all_cycles(self) -> list[list[Path]]:
+        """Detect all cycles in the dependency graph."""
+        return self.graph.detect_cycles()
+
+    def detect_cycles_for_file(self, file_path: Path) -> list[list[Path]]:
+        """Detect cycles that include a specific file."""
+        all_cycles = self.detect_all_cycles()
+        return [
+            cycle for cycle in all_cycles if file_path in cycle
+        ]
+
+    def get_cyclic_files(self) -> list[Path]:
+        """Get all files that are part of a cycle."""
+        cyclic_files = set()
+        for cycle in self.detect_all_cycles():
+            cyclic_files.update(cycle)
+        return list(cyclic_files)
+
+    def is_cyclic(self, file_path: Path) -> bool:
+        """Check if a specific file is part of a cycle."""
+        return file_path in self.get_cyclic_files()
+
+    def get_cycle_chains(self) -> dict[Path, list[list[Path]]]:
+        """Get all cycles grouped by their involved files."""
+        chains: dict[Path, list[list[Path]]] = {}
+        for cycle in self.detect_all_cycles():
+            for file in cycle:
+                if file not in chains:
+                    chains[file] = []
+                chains[file].append(cycle)
+        return chains
+
+    def get_report(self) -> dict[str, Any]:
+        """Generate a comprehensive cycle detection report."""
+        cycles = self.detect_all_cycles()
+        cyclic_files = self.get_cyclic_files()
+
+        report = {
+            "total_cycles": len(cycles),
+            "cyclic_files": len(cyclic_files),
+            "cyclic_file_names": [str(f) for f in cyclic_files],
+            "cycles": [
+                [str(f) for f in cycle] for cycle in cycles
+            ],
+            "severity": self._calculate_severity(cycles),
+        }
+
+        return report
+
+    def _calculate_severity(
+        self, cycles: list[list[Path]]
+    ) -> str:
+        """Calculate the severity of the cyclic dependencies."""
+        if not cycles:
+            return "none"
+
+        max_cycle_length = max(len(c) for c in cycles) if cycles else 0
+
+        if max_cycle_length > 10:
+            return "critical"
+        elif max_cycle_length > 5:
+            return "high"
+        elif len(cycles) > 5:
+            return "medium"
+        return "low"
+
+    def export_cycle_report(self, path: Path) -> None:
+        """Export the cycle report to a file."""
+        import json
+
+        report = self.get_report()
+        with open(path, "w") as f:
+            json.dump(report, f, indent=2)
+
+
+def find_cyclic_dependencies(
+    project_root: Path,
+    extensions: Optional[list[str]] = None,
+) -> list[list[Path]]:
+    """Convenience function to find cyclic dependencies."""
+    graph = DependencyGraph(project_root)
+    graph.build_from_directory(extensions=extensions)
+
+    detector = CycleDetector(graph)
+    return detector.detect_all_cycles()
+
+
+def get_cyclic_file_report(
+    project_root: Path,
+) -> dict[str, Any]:
+    """Generate a report on cyclic dependencies for a project."""
+    graph = DependencyGraph(project_root)
+    graph.build_from_directory()
+
+    detector = CycleDetector(graph)
+    return detector.get_report()