Replace some "point-cloud datasets" with "tile-based datasets"

kart/base_diff_writer.py

@@ -607,7 +607,7 @@ def get_geometry_transforms(self, ds_path, ds_diff, context=None):
         dataset = self._get_old_or_new_dataset(ds_path)
         if dataset.DATASET_TYPE != "table":
             # So far, table datasets are the only ones which have deltas transformed to the target CRS.
-            # TODO - support transformed output for point-cloud datasets too.
+            # TODO - support transformed output for tile-based datasets too.
             return None, None
 
         def _get_transform(source_crs):

kart/diff_util.py

@@ -59,7 +59,7 @@ def get_repo_diff(
         to save repeated work.
     repo_key_filter - controls which datasets (and PK values) match and are included in the diff.
     convert_to_dataset_format - whether to show the diff of what would be committed if files were
-       converted to dataset format at commit-time (ie, for point-cloud tiles)
+       converted to dataset format at commit-time (ie, for point-cloud and raster tiles)
     include_files - whether to include a DatasetDiff in the result for changes to files that
        are simply standalone files, rather than part of a dataset's contents.
     """

kart/lfs_commands/__init__.py

@@ -21,6 +21,7 @@
 from kart.repo import KartRepoState
 from kart.structs import CommitWithReference
 from kart.spatial_filter import SpatialFilter
+from kart.tile import ALL_TILE_DATASET_TYPES
 
 EMPTY_SHA = "0" * 40
 
@@ -100,7 +101,7 @@ def is_present(lfs_hash):
 @click.argument("remote_url", required=False)
 def pre_push(ctx, remote_name, remote_url, dry_run):
     """
-    Re-implementation of git-lfs pre-push - but, only searches for pointer blobs at **/.point-cloud-dataset.v?/tile/**
+    Re-implementation of git-lfs pre-push - but, only searches for pointer blobs at **/.<tile-based-dataset>/tile/**
     (In contrast with git-lfs pre-push, which scans any and all blobs, looking for pointer files).
     This means it won't encounter any features that are missing due to spatial filtering, which git-lfs stumbles over.
     """
@@ -124,8 +125,8 @@ def pre_push(ctx, remote_name, remote_url, dry_run):
         repo, start_commits, [f"--remotes={remote_name}", *stop_commits]
     ):
         # Because of the way a Kart repo is laid out, we know that:
-        # All LFS pointer files are blobs inside **/.point-cloud-dataset.v?/tile/**
-        # All blobs inside **/.point-cloud-dataset.v?/tile/** are LFS pointer files.
+        # All LFS pointer files are blobs inside **/.*-dataset.v?/tile/** and conversely,
+        # All blobs inside **/.*-dataset.v?/tile/** are LFS pointer files.
         lfs_oids.add(get_hash_from_pointer_file(pointer_blob))
 
     if dry_run:
@@ -273,7 +274,9 @@ def fetch_lfs_blobs_for_commits(
 
     pointer_file_oids = set()
     for commit in commits:
-        for dataset in repo.datasets(commit, filter_dataset_type="point-cloud"):
+        for dataset in repo.datasets(
+            commit, filter_dataset_type=ALL_TILE_DATASET_TYPES
+        ):
             pointer_file_oids.update(
                 blob.hex
                 for blob in dataset.tile_pointer_blobs(spatial_filter=spatial_filter)
@@ -391,7 +394,7 @@ def gc(ctx, dry_run):
 
     spatial_filter = repo.spatial_filter
     checked_out_lfs_oids = set()
-    for dataset in repo.datasets("HEAD", filter_dataset_type="point-cloud"):
+    for dataset in repo.datasets("HEAD", filter_dataset_type=ALL_TILE_DATASET_TYPES):
         checked_out_lfs_oids.update(dataset.tile_lfs_hashes(spatial_filter))
 
     to_delete = set()

kart/rev_list_objects.py

@@ -166,7 +166,7 @@ def rev_list_feature_blobs(repo, start_commits, stop_commits):
 
 def rev_list_tile_pointer_files(repo, start_commits, stop_commits):
     """
-    Yield all the blobs with a path identifying them as LFS pointers to the tiles of a point-cloud dataset.
+    Yield all the blobs with a path identifying them as LFS pointers to the tiles of a tile-based dataset.
     Yields tuples in the form: (commit_id, match_result, blob).
     To get the entire path, use match_result.group(0) - this can be decoded if necessary.
     To get the dataset-path, use match_result.group(1)

kart/spatial_filter/__init__.py

@@ -719,7 +719,7 @@ def transform_for_tile_dataset(self, dataset):
         """
         Transform this spatial filter so that it matches the CRS of the given dataset.
         The resulting spatial filter will also have the extract_geometry function set such that
-        it can extract a flattened-to-2D point-cloud extent out of a tile summary.
+        it can extract a flattened-to-2D tile extent out of a tile summary.
         """
         if self.match_all:
             return SpatialFilter._MATCH_ALL