Ignore raw metadata when combining metadata

pytroll · May 6, 2021 · 202c6fd · 202c6fd
1 parent 6df2f10
commit 202c6fd
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Showing 2 changed files with 10 additions and 3 deletions.
diff --git a/satpy/dataset/metadata.py b/satpy/dataset/metadata.py
@@ -33,7 +33,8 @@ def combine_metadata(*metadata_objects, average_times=True):
     in them and consisting of datetime objects will be averaged. This
     is to handle cases where data were observed at almost the same time
     but not exactly.  In the interest of time, lazy arrays are compared by
-    object identity rather than by their contents.
+    object identity rather than by their contents. Raw dataset metadata
+    are excluded as well.
 
     Args:
         *metadata_objects: MetadataObject or dict objects to combine
@@ -49,6 +50,10 @@ def combine_metadata(*metadata_objects, average_times=True):
         return info_dicts[0].copy()
 
     shared_keys = _shared_keys(info_dicts)
+    try:
+        shared_keys.remove('raw_metadata')
+    except KeyError:
+        pass
 
     return _combine_shared_info(shared_keys, info_dicts, average_times)
 

diff --git a/satpy/tests/test_dataset.py b/satpy/tests/test_dataset.py
@@ -250,7 +250,8 @@ def test_combine_real_world_mda(self):
                                                 'cpp_reff_pal',
                                                 '-'],
                         'platform_name': 'NOAA-20',
-                        'sensor': {'viirs'}},
+                        'sensor': {'viirs'},
+                        'raw_metadata': {'foo': np.array([1, 2, 3])}},
                        {'_FillValue': np.nan,
                         'valid_range': np.array([0., 0.00032], dtype=np.float32),
                         'ancillary_variables': ['cpp_status_flag',
@@ -259,7 +260,8 @@ def test_combine_real_world_mda(self):
                                                 'cpp_reff_pal',
                                                 '-'],
                         'platform_name': 'NOAA-20',
-                        'sensor': {'viirs'}})
+                        'sensor': {'viirs'},
+                        'raw_metadata': {'foo': np.array([2, 3, 4])}})
 
         expected = {'_FillValue': np.nan,
                     'valid_range': np.array([0., 0.00032], dtype=np.float32),