Making coordinate variables searchable (#212)

- Updated builders to scan for all variables, not just data variables.
- Updated tests to include coordinate variable discovery.

src/access_nri_intake/source/builders.py

@@ -316,7 +316,7 @@ def parse_access_ncfile(
         ) as ds:
             dvars = _VarInfo()
 
-            for var in ds.data_vars:
+            for var in ds.variables:
                 attrs = ds[var].attrs
                 dvars.append_attrs(var, attrs)  # type: ignore
 

src/access_nri_intake/source/utils.py

@@ -7,7 +7,7 @@
 from dataclasses import asdict, dataclass, field
 from datetime import timedelta
 from pathlib import Path
-from typing import Union
+from typing import Optional, Union
 
 import cftime
 import xarray as xr
@@ -33,7 +33,7 @@ class _AccessNCFileInfo:
     filename: Union[str, Path]
     file_id: str
     path: str
-    filename_timestamp: Union[str, None]
+    filename_timestamp: Optional[str]
     frequency: str
     start_date: str
     end_date: str
@@ -139,7 +139,7 @@ def _guess_start_end_dates(ts, te, frequency):
 
 def get_timeinfo(
     ds: xr.Dataset,
-    filename_frequency: Union[str, None],
+    filename_frequency: Optional[str],
     time_dim: str,
 ) -> tuple[str, str, str]:
     """
@@ -177,7 +177,7 @@ def _todate(t):
     time_format = "%Y-%m-%d, %H:%M:%S"
     ts = None
     te = None
-    frequency: Union[str, tuple[Union[int, None], str]] = "fx"
+    frequency: Union[str, tuple[Optional[int], str]] = "fx"
     has_time = time_dim in ds
 
     if has_time: