Move property files up to GeoDataset

torchgeo/datasets/geo.py

@@ -75,6 +75,13 @@ class GeoDataset(Dataset[dict[str, Any]], abc.ABC):
     _crs = CRS.from_epsg(4326)
     _res = 0.0
 
+    #: Glob expression used to search for files.
+    #:
+    #: This expression should be specific enough that it will not pick up files from
+    #: other datasets. It should not include a file extension, as the dataset may be in
+    #: a different file format than what it was originally downloaded as.
+    filename_glob = "*"
+
     # NOTE: according to the Python docs:
     #
     # * https://docs.python.org/3/library/exceptions.html#NotImplementedError
@@ -98,6 +105,9 @@ def __init__(
                 and returns a transformed version
         """
         self.transforms = transforms
+        self.paths: Union[
+            str, Iterable[str]
+        ] = "data"  # TODO: temp fix when refactoring
 
         # Create an R-tree to index the dataset
         self.index = Index(interleaved=False, properties=Property(dimension=3))
@@ -269,6 +279,31 @@ def res(self, new_res: float) -> None:
         print(f"Converting {self.__class__.__name__} res from {self.res} to {new_res}")
         self._res = new_res
 
+    @property
+    def files(self) -> set[str]:
+        """A list of all files in the dataset.
+
+        Returns:
+            All files in the dataset.
+
+        .. versionadded:: 0.5
+        """
+        # Make iterable
+        if isinstance(self.paths, str):
+            paths: Iterable[str] = [self.paths]
+        else:
+            paths = self.paths
+
+        # Using set to remove any duplicates if directories are overlapping
+        files: set[str] = set()
+        for path in paths:
+            if os.path.isdir(path):
+                pathname = os.path.join(path, "**", self.filename_glob)
+                files |= set(glob.iglob(pathname, recursive=True))
+            else:
+                files.add(path)
+
+        return files
 
 class RasterDataset(GeoDataset):
     """Abstract base class for :class:`GeoDataset` stored as raster files."""
@@ -423,32 +458,6 @@ def __init__(
         self._crs = cast(CRS, crs)
         self._res = cast(float, res)
 
-    @property
-    def files(self) -> set[str]:
-        """A list of all files in the dataset.
-
-        Returns:
-            All files in the dataset.
-
-        .. versionadded:: 0.5
-        """
-        # Make iterable
-        if isinstance(self.paths, str):
-            paths: Iterable[str] = [self.paths]
-        else:
-            paths = self.paths
-
-        # Using set to remove any duplicates if directories are overlapping
-        files: set[str] = set()
-        for path in paths:
-            if os.path.isdir(path):
-                pathname = os.path.join(path, "**", self.filename_glob)
-                files |= set(glob.iglob(pathname, recursive=True))
-            else:
-                files.add(path)
-
-        return files
-
     def __getitem__(self, query: BoundingBox) -> dict[str, Any]:
         """Retrieve image/mask and metadata indexed by query.