fixed types

src/crewai/knowledge/source/base_file_knowledge_source.py

@@ -37,6 +37,9 @@ class BaseFileKnowledgeSource(BaseKnowledgeSource):
         if not isinstance(paths, list):
             raise ValueError("file_path must be a Path or a list of Paths")
 
+        # Ensure all paths are Path objects
+        paths = [Path(path) if isinstance(path, str) else path for path in paths]
+
         for path in paths:
             if not path.exists():
                 self._logger.log(

src/crewai/knowledge/source/excel_knowledge_source.py

@@ -12,9 +12,9 @@ class ExcelKnowledgeSource(BaseFileKnowledgeSource):
         pd = self._import_dependencies()
 
         if isinstance(self.file_path, list):
-            file_path = self.file_path[0]
+            file_path = self.convert_to_path(self.file_path[0])
         else:
-            file_path = self.file_path
+            file_path = self.convert_to_path(self.file_path)
 
         df = pd.read_excel(file_path)
         content = df.to_csv(index=False)

src/crewai/knowledge/source/json_knowledge_source.py

@@ -15,6 +15,7 @@ class JSONKnowledgeSource(BaseFileKnowledgeSource):
 
         content: Dict[Path, str] = {}
         for path in paths:
+            path = self.convert_to_path(path)
             with open(path, "r", encoding="utf-8") as json_file:
                 data = json.load(json_file)
             content[path] = self._json_to_text(data)

src/crewai/knowledge/source/text_file_knowledge_source.py

@@ -13,6 +13,7 @@ class TextFileKnowledgeSource(BaseFileKnowledgeSource):
         paths = [self.file_path] if isinstance(self.file_path, Path) else self.file_path
         content = {}
         for path in paths:
+            path = Path(path)
             with open(path, "r", encoding="utf-8") as f:
                 content[path] = f.read()
         return content