Add --with-dataset-types to kart meta get

Simply adds two fields to each datasets output:
"datasetType" and "version".

Most existing datasets will be ("table", 3).
Experimental point cloud datasets are ("point-cloud", 1)

kart/meta.py

@@ -53,10 +53,15 @@ def meta(ctx, **kwargs):
     help="[deprecated] How to format the JSON output. Only used with -o json",
 )
 @click.option("--ref", default="HEAD")
+@click.option(
+    "--with-dataset-types",
+    is_flag=True,
+    help="When set, includes the dataset type and version as pseudo meta-items (these cannot be updated).",
+)
 @click.argument("dataset", required=False)
 @click.argument("keys", required=False, nargs=-1)
 @click.pass_context
-def meta_get(ctx, output_format, json_style, ref, dataset, keys):
+def meta_get(ctx, output_format, json_style, ref, with_dataset_types, dataset, keys):
     """
     Prints the value of meta keys.
 
@@ -80,6 +85,12 @@ def meta_get(ctx, output_format, json_style, ref, dataset, keys):
             all_items[ds.path] = get_meta_items(ds, keys)
         else:
             all_items[ds.path] = ds.meta_items()
+        if with_dataset_types:
+            all_items[ds.path] = {
+                "datasetType": ds.DATASET_TYPE,
+                "version": ds.VERSION,
+                **all_items[ds.path],
+            }
 
     output_type, fmt = parse_output_format(output_format, json_style)
 

tests/test_meta.py

@@ -22,9 +22,6 @@ def test_errors(self, data_archive_readonly, cli_runner):
 
     @pytest.mark.parametrize("output_format", ("text", "json"))
     def test_all(self, output_format, data_archive_readonly, cli_runner):
-        # All datasets now support getting metadata in either V1 or V2 format,
-        # but if you don't specify a particular item, they will show all V2 items -
-        # these are more self-explanatory to an end-user.
         with data_archive_readonly("points"):
             r = cli_runner.invoke(
                 ["meta", "get", "nz_pa_points_topo_150k", "-o", output_format]
@@ -44,6 +41,38 @@ def test_all(self, output_format, data_archive_readonly, cli_runner):
                 assert output["schema.json"]
                 assert output["crs/EPSG:4326.wkt"]
 
+    @pytest.mark.parametrize("output_format", ("text", "json"))
+    def test_with_dataset_types(self, output_format, data_archive_readonly, cli_runner):
+        with data_archive_readonly("points"):
+            r = cli_runner.invoke(
+                [
+                    "meta",
+                    "get",
+                    "nz_pa_points_topo_150k",
+                    "--with-dataset-types",
+                    "-o",
+                    output_format,
+                ]
+            )
+            assert r.exit_code == 0, r
+            if output_format == "text":
+                assert "datasetType" in r.stdout
+                assert "version" in r.stdout
+                assert "title" in r.stdout
+                assert EXPECTED_TITLE in r.stdout
+                assert "description" in r.stdout
+                assert "schema.json" in r.stdout
+                assert "crs/EPSG:4326.wkt" in r.stdout
+            else:
+                output = json.loads(r.stdout)
+                output = output["nz_pa_points_topo_150k"]
+                assert output["datasetType"] == "table"
+                assert output["version"] == 3
+                assert output["title"] == EXPECTED_TITLE
+                assert output["description"]
+                assert output["schema.json"]
+                assert output["crs/EPSG:4326.wkt"]
+
     @pytest.mark.parametrize("output_format", ("text", "json"))
     def test_keys(self, output_format, data_archive_readonly, cli_runner):
         with data_archive_readonly("points"):