mldataset now supported

xcube-dev · Jul 1, 2024 · 341f33f · 341f33f
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diff --git a/examples/geotiff_nonsearchable_catalog.ipynb b/examples/geotiff_nonsearchable_catalog.ipynb
diff --git a/examples/geotiff_searchable_catalog.ipynb b/examples/geotiff_searchable_catalog.ipynb
diff --git a/examples/netcdf_searchable_catalog.ipynb b/examples/netcdf_searchable_catalog.ipynb
diff --git a/examples/xcube_server_stac_s3.ipynb b/examples/xcube_server_stac_s3.ipynb
diff --git a/test/cassettes/test_store/StacDataStoreTest.test_open_data_abfs.yaml b/test/cassettes/test_store/StacDataStoreTest.test_open_data_abfs.yaml
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diff --git a/test/cassettes/test_store/StacDataStoreTest.test_open_data_tiff.yaml b/test/cassettes/test_store/StacDataStoreTest.test_open_data_tiff.yaml
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diff --git a/test/test_store.py b/test/test_store.py
@@ -26,6 +26,7 @@
 import pytest
 import requests
 import xarray as xr
+from xcube.core.mldataset import MultiLevelDataset
 from xcube.core.store import DatasetDescriptor, DataStoreError
 from xcube.core.store.store import new_data_store
 from xcube.util.jsonschema import JsonObjectSchema
@@ -238,13 +239,27 @@ def test_open_data_tiff(self):
         )
 
         # open data with open_params
-        ds = store.open_data(self.data_id_time_range, asset_names=["blue_p25"])
+        mlds = store.open_data(self.data_id_time_range, asset_names=["blue_p25"])
+        self.assertIsInstance(mlds, MultiLevelDataset)
+        ds = mlds.base_dataset
         self.assertCountEqual(["blue_p25"], list(ds.data_vars))
         self.assertCountEqual([151000, 188000], [ds.sizes["y"], ds.sizes["x"]])
         self.assertCountEqual(
             [512, 512], [ds.chunksizes["x"][0], ds.chunksizes["y"][0]]
         )
 
+        # open data where multiple assets are stored in one mldataset
+        mlds = store.open_data(
+            self.data_id_time_range, asset_names=["blue_p25", "blue_p75"]
+        )
+        self.assertIsInstance(mlds, MultiLevelDataset)
+        ds = mlds.base_dataset
+        self.assertCountEqual(["blue_p25", "blue_p75"], list(ds.data_vars))
+        self.assertCountEqual([151000, 188000], [ds.sizes["y"], ds.sizes["x"]])
+        self.assertCountEqual(
+            [512, 512], [ds.chunksizes["x"][0], ds.chunksizes["y"][0]]
+        )
+
     @pytest.mark.vcr()
     def test_open_data_netcdf(self):
         store = new_data_store(DATA_STORE_ID, url=self.url_netcdf)
@@ -272,7 +287,7 @@ def test_open_data_abfs(self):
         # open data without open_params
         data_id = "collections/era5-pds/items/era5-pds-2020-12-an"
         with self.assertRaises(DataStoreError) as cm:
-            _ = store.open_data(data_id)
+            _ = store.open_data(data_id, asset_names=["surface_air_pressure"])
         self.assertEqual(
             (
                 "Only 's3' and 'https' protocols are supported, not 'abfs'. The asset "
@@ -339,7 +354,26 @@ def test_open_data_xcube_server_zarr(self):
         )
         self.assertCountEqual([1387, 1491], [ds.sizes["y"], ds.sizes["x"]])
         # open data store in cloud-optimized tif format
-        ds = store.open_data("collections/datacubes/items/cog_geotiff_file")
+        ds = store.open_data(
+            "collections/datacubes/items/cog_geotiff_file",
+            opener_id="dataset:geotiff:s3",
+        )
+        self.assertIsInstance(ds, xr.Dataset)
+        self.assertCountEqual(
+            [
+                "analytic_band_1",
+                "analytic_band_2",
+                "analytic_band_3",
+                "analytic_spatial_ref",
+            ],
+            list(ds.data_vars),
+        )
+        self.assertCountEqual([343, 343], [ds.sizes["y"], ds.sizes["x"]])
+        # open data store in cloud-optimized tif format in mldataaset
+        ds = store.open_data(
+            "collections/datacubes/items/cog_geotiff_file",
+            opener_id="mldataset:geotiff:s3",
+        )
         self.assertIsInstance(ds, xr.Dataset)
         self.assertCountEqual(
             [

diff --git a/xcube_stac/opener.py b/xcube_stac/opener.py
@@ -18,9 +18,11 @@
 # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 # SOFTWARE.
+from typing import Union
 
 import xarray as xr
 from xcube.util.jsonschema import JsonObjectSchema
+from xcube.core.mldataset import MultiLevelDataset
 from xcube.core.store import DataOpener, new_data_store
 
 
@@ -41,12 +43,18 @@ def __init__(self, root: str, opener_id: str):
     def root(self):
         return self._root
 
+    @property
+    def opener_id(self):
+        return self._opener_id
+
     def get_open_data_params_schema(self, data_id: str = None) -> JsonObjectSchema:
         return self._https_accessor.get_open_data_params_schema(
             data_id=data_id, opener_id=self._opener_id
         )
 
-    def open_data(self, data_id: str, **open_params) -> xr.Dataset:
+    def open_data(
+        self, data_id: str, **open_params
+    ) -> Union[xr.Dataset, MultiLevelDataset]:
         stac_schema = self.get_open_data_params_schema()
         stac_schema.validate_instance(open_params)
         return self._https_accessor.open_data(
@@ -109,14 +117,20 @@ def __init__(
     def root(self):
         return self._root
 
+    @property
+    def opener_id(self):
+        return self._opener_id
+
     def get_open_data_params_schema(
         self, data_id: str = None, opener_id: str = None
     ) -> JsonObjectSchema:
         return self._s3_accessor.get_open_data_params_schema(
             data_id=data_id, opener_id=opener_id
         )
 
-    def open_data(self, data_id: str, **open_params) -> xr.Dataset:
+    def open_data(
+        self, data_id: str, **open_params
+    ) -> Union[xr.Dataset, MultiLevelDataset]:
         stac_schema = self.get_open_data_params_schema()
         stac_schema.validate_instance(open_params)
         return self._s3_accessor.open_data(