Prefer reading CSV and issue warning

src/hipscat/catalog/association_catalog/partition_join_info.py

@@ -1,6 +1,7 @@
 """Container class to hold primary-to-join partition metadata"""
 from __future__ import annotations
 
+import warnings
 from typing import Dict, List
 
 import numpy as np
@@ -136,14 +137,15 @@ def read_from_dir(cls, catalog_base_dir: FilePointer, storage_options: dict = No
         """
         metadata_file = paths.get_parquet_metadata_pointer(catalog_base_dir)
         partition_join_info_file = paths.get_partition_join_info_pointer(catalog_base_dir)
-        if file_io.does_file_or_directory_exist(metadata_file, storage_options=storage_options):
-            partition_join_info = PartitionJoinInfo.read_from_file(
-                metadata_file, storage_options=storage_options
-            )
-        elif file_io.does_file_or_directory_exist(partition_join_info_file, storage_options=storage_options):
+        if file_io.does_file_or_directory_exist(partition_join_info_file, storage_options=storage_options):
             partition_join_info = PartitionJoinInfo.read_from_csv(
                 partition_join_info_file, storage_options=storage_options
             )
+        elif file_io.does_file_or_directory_exist(metadata_file, storage_options=storage_options):
+            warnings.warn("Reading partitions from parquet metadata. This is typically slow.")
+            partition_join_info = PartitionJoinInfo.read_from_file(
+                metadata_file, storage_options=storage_options
+            )
         else:
             raise FileNotFoundError(
                 f"_metadata or partition join info file is required in catalog directory {catalog_base_dir}"

src/hipscat/catalog/partition_info.py

@@ -1,6 +1,7 @@
 """Container class to hold per-partition metadata"""
 from __future__ import annotations
 
+import warnings
 from typing import List
 
 import numpy as np
@@ -97,10 +98,11 @@ def read_from_dir(cls, catalog_base_dir: FilePointer, storage_options: dict = No
         """
         metadata_file = paths.get_parquet_metadata_pointer(catalog_base_dir)
         partition_info_file = paths.get_partition_info_pointer(catalog_base_dir)
-        if file_io.does_file_or_directory_exist(metadata_file, storage_options=storage_options):
-            partition_info = PartitionInfo.read_from_file(metadata_file, storage_options=storage_options)
-        elif file_io.does_file_or_directory_exist(partition_info_file, storage_options=storage_options):
+        if file_io.does_file_or_directory_exist(partition_info_file, storage_options=storage_options):
             partition_info = PartitionInfo.read_from_csv(partition_info_file, storage_options=storage_options)
+        elif file_io.does_file_or_directory_exist(metadata_file, storage_options=storage_options):
+            warnings.warn("Reading partitions from parquet metadata. This is typically slow.")
+            partition_info = PartitionInfo.read_from_file(metadata_file, storage_options=storage_options)
         else:
             raise FileNotFoundError(
                 f"_metadata or partition info file is required in catalog directory {catalog_base_dir}"
@@ -202,9 +204,7 @@ def as_dataframe(self):
         for pixel in self.pixel_list:
             partition_info_dict[PartitionInfo.METADATA_ORDER_COLUMN_NAME].append(pixel.order)
             partition_info_dict[PartitionInfo.METADATA_PIXEL_COLUMN_NAME].append(pixel.pixel)
-            partition_info_dict[PartitionInfo.METADATA_DIR_COLUMN_NAME].append(
-                int(pixel.pixel / 10_000) * 10_000
-            )
+            partition_info_dict[PartitionInfo.METADATA_DIR_COLUMN_NAME].append(pixel.dir)
         return pd.DataFrame.from_dict(partition_info_dict)
 
     @classmethod

tests/data/small_sky/partition_info.csv

@@ -0,0 +1,2 @@
+Norder,Npix,Dir
+0,11,0

tests/data/small_sky_order1/partition_info.csv

@@ -0,0 +1,5 @@
+Norder,Npix,Dir
+1,44,0
+1,45,0
+1,46,0
+1,47,0

tests/data/small_sky_source/partition_info.csv

@@ -0,0 +1,15 @@
+Norder,Npix,Dir
+0,4,0
+1,47,0
+2,176,0
+2,177,0
+2,178,0
+2,179,0
+2,180,0
+2,181,0
+2,182,0
+2,183,0
+2,184,0
+2,185,0
+2,186,0
+2,187,0

tests/hipscat/catalog/association_catalog/test_association_catalog.py

@@ -90,7 +90,8 @@ def test_empty_directory(tmp_path, association_catalog_info_data, association_ca
     ## Now we create the needed _metadata and everything is right.
     part_info = PartitionJoinInfo(association_catalog_join_pixels)
     part_info.write_to_metadata_files(catalog_path=catalog_path)
-    catalog = AssociationCatalog.read_from_hipscat(catalog_path)
+    with pytest.warns(UserWarning, match="slow"):
+        catalog = AssociationCatalog.read_from_hipscat(catalog_path)
     assert catalog.catalog_name == association_catalog_info_data["catalog_name"]
 
 

tests/hipscat/catalog/association_catalog/test_partition_join_info.py

@@ -65,8 +65,9 @@ def test_load_partition_join_info_from_dir_fail(tmp_path):
     # The file is there, but doesn't have the required content.
     metadata_filename = os.path.join(tmp_path, "_metadata")
     empty_dataframe.to_parquet(metadata_filename)
-    with pytest.raises(ValueError, match="missing columns"):
-        PartitionJoinInfo.read_from_dir(tmp_path)
+    with pytest.warns(UserWarning, match="slow"):
+        with pytest.raises(ValueError, match="missing columns"):
+            PartitionJoinInfo.read_from_dir(tmp_path)
 
 
 def test_primary_to_join_map(association_catalog_join_pixels):

tests/hipscat/catalog/test_catalog.py

@@ -245,7 +245,8 @@ def test_empty_directory(tmp_path):
     part_info = PartitionInfo.from_healpix([HealpixPixel(0, 11)])
     part_info.write_to_metadata_files(catalog_path=catalog_path)
 
-    catalog = Catalog.read_from_hipscat(catalog_path)
+    with pytest.warns(UserWarning, match="slow"):
+        catalog = Catalog.read_from_hipscat(catalog_path)
     assert catalog.catalog_name == "empty"
 
 

tests/hipscat/catalog/test_partition_info.py

@@ -65,8 +65,9 @@ def test_load_partition_info_from_dir_fail(tmp_path):
     # The file is there, but doesn't have the required content.
     metadata_filename = os.path.join(tmp_path, "_metadata")
     empty_dataframe.to_parquet(metadata_filename)
-    with pytest.raises(ValueError, match="missing Norder"):
-        PartitionInfo.read_from_dir(tmp_path)
+    with pytest.warns(UserWarning, match="slow"):
+        with pytest.raises(ValueError, match="missing Norder"):
+            PartitionInfo.read_from_dir(tmp_path)
 
 
 def test_load_partition_info_small_sky_order1(small_sky_order1_dir):

tests/hipscat/io/file_io/test_file_pointers.py

@@ -98,6 +98,7 @@ def test_get_directory_contents(small_sky_order1_dir, tmp_path):
         "_common_metadata",
         "_metadata",
         "catalog_info.json",
+        "partition_info.csv",
         "point_map.fits",
         "provenance_info.json",
     ]