fix: resolve CI/CD issues - Poetry setup, type annotations, MyPy errors

codechunk/core/dependency.py

@@ -1,4 +1,4 @@
-from typing import List, Dict, Set, Optional
+from typing import Optional
 from dataclasses import dataclass, field
 from pathlib import Path
 from codechunk.core.chunking import ParsedChunk
@@ -9,19 +9,18 @@ class DependencyNode:
     chunk_name: str
     file_path: Path
     module_name: str
-    dependencies: Set[str] = field(default_factory=set)
-    dependents: Set[str] = field(default_factory=set)
+    dependencies: set[str] = field(default_factory=set)
+    dependents: set[str] = field(default_factory=set)
     is_circular: bool = False
 
 
 class DependencyAnalyzer:
     def __init__(self):
-        self.dependency_graph: Dict[str, DependencyNode] = {}
-        self.module_to_chunks: Dict[str, List[str]] = {}
+        self.dependency_graph: dict[str, DependencyNode] = {}
+        self.module_to_chunks: dict[str, list[str]] = {}
 
-    def analyze_dependencies(self, chunks: List[ParsedChunk],
-                            project_files: List[Path]) -> Dict[str, DependencyNode]:
-        """Analyze dependencies between chunks."""
+    def analyze_dependencies(self, chunks: list[ParsedChunk],
+                            project_files: list[Path]) -> dict[str, DependencyNode]:
         self.dependency_graph = {}
         self.module_to_chunks = {}
 
@@ -53,16 +52,14 @@ class DependencyAnalyzer:
 
         return self.dependency_graph
 
-    def _build_module_cache(self, project_files: List[Path]) -> Dict[Path, str]:
-        """Build cache of file to module name mappings."""
-        cache = {}
+    def _build_module_cache(self, project_files: list[Path]) -> dict[Path, str]:
+        cache: dict[Path, str] = {}
         for file_path in project_files:
             module_name = self._get_module_name(file_path, set(project_files))
             cache[file_path] = module_name
         return cache
 
-    def _get_module_name(self, file_path: Path, project_root: Set[Path]) -> str:
-        """Get module name from file path."""
+    def _get_module_name(self, file_path: Path, project_root: set[Path]) -> str:
         try:
             if project_root:
                 root = min(project_root, key=lambda p: len(p.parts))
@@ -84,8 +81,7 @@ class DependencyAnalyzer:
             return file_path.stem
 
     def _resolve_import(self, import_str: str, current_file: Path,
-                        project_root: Set[Path], module_cache: Dict[Path, str]) -> Optional[str]:
-        """Resolve import string to module name."""
+                        project_root: set[Path], module_cache: dict[Path, str]) -> Optional[str]:
         clean_import = import_str.strip()
 
         parts = clean_import.split('.')
@@ -102,7 +98,7 @@ class DependencyAnalyzer:
                         'torch', 'tensorflow', 'matplotlib', 'scipy', 'sklearn']:
             return None
 
-        for file_path, module_name in module_cache.items():
+        for _file_path, module_name in module_cache.items():
             if module_name.endswith(base_module) or module_name == base_module:
                 return module_name
 
@@ -113,19 +109,17 @@ class DependencyAnalyzer:
 
         return clean_import
 
-    def _build_dependency_links(self):
-        """Build reverse dependency links (dependents)."""
+    def _build_dependency_links(self) -> None:
         for node in self.dependency_graph.values():
             for dep in node.dependencies:
                 if dep in self.dependency_graph:
                     self.dependency_graph[dep].dependents.add(node.chunk_name)
 
-    def _detect_circular_dependencies(self):
-        """Detect circular dependencies in the graph."""
+    def _detect_circular_dependencies(self) -> None:
         visited = set()
         rec_stack = set()
 
-        def detect_cycle(node_name: str, path: List[str]) -> bool:
+        def detect_cycle(node_name: str, path: list[str]) -> bool:
             visited.add(node_name)
             rec_stack.add(node_name)
             path.append(node_name)
@@ -150,8 +144,7 @@ class DependencyAnalyzer:
             if node_name not in visited:
                 detect_cycle(node_name, [])
 
-    def get_essential_chunks(self, selected_chunks: List[str]) -> List[str]:
-        """Get all chunks needed including transitive dependencies."""
+    def get_essential_chunks(self, selected_chunks: list[str]) -> list[str]:
         essential = set(selected_chunks)
         to_process = list(selected_chunks)
 
@@ -166,8 +159,7 @@ class DependencyAnalyzer:
 
         return list(essential)
 
-    def get_impacted_chunks(self, modified_chunks: List[str]) -> List[str]:
-        """Get all chunks that depend on the modified chunks."""
+    def get_impacted_chunks(self, modified_chunks: list[str]) -> list[str]:
         impacted = set(modified_chunks)
         to_process = list(modified_chunks)
 
@@ -182,8 +174,7 @@ class DependencyAnalyzer:
 
         return list(impacted)
 
-    def get_dependency_stats(self) -> Dict[str, int]:
-        """Get statistics about dependencies."""
+    def get_dependency_stats(self) -> dict[str, int]:
         stats = {
             "total_nodes": len(self.dependency_graph),
             "nodes_with_deps": 0,
@@ -199,16 +190,12 @@ class DependencyAnalyzer:
             depent_count = len(node.dependents)
 
             stats["total_edges"] += dep_count
-
             if dep_count > 0:
                 stats["nodes_with_deps"] += 1
-
             if depent_count > 0:
                 stats["nodes_with_dependents"] += 1
-
             if node.is_circular:
                 stats["circular_deps"] += 1
-
             stats["max_dependencies"] = max(stats["max_dependencies"], dep_count)
             stats["max_dependents"] = max(stats["max_dependents"], depent_count)