fgreg closed pull request #3: SDAP-30
URL: https://github.com/apache/incubator-sdap-ningesterpy/pull/3
 
 
   

This is a PR merged from a forked repository.
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As this is a foreign pull request (from a fork), the diff is supplied
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diff --git a/sdap/processors/tilereadingprocessor.py 
b/sdap/processors/tilereadingprocessor.py
index cc3afef..a483907 100644
--- a/sdap/processors/tilereadingprocessor.py
+++ b/sdap/processors/tilereadingprocessor.py
@@ -253,11 +253,8 @@ def read_data(self, tile_specifications, file_path, 
output_tile):
                     tile.meta_data.add().CopyFrom(
                         to_metadata(self.metadata, 
ds[self.metadata][tuple(ordered_slices.values())]))
 
-                timevar = ds[self.time]
-                # Note assumption is that index of time is start value in 
dimtoslice
-                tile.time = 
to_seconds_from_epoch(timevar[dimtoslice[self.time].start],
-                                                  
timeunits=timevar.getncattr('units'),
-                                                  timeoffset=self.time_offset)
+                tile.time.CopyFrom(
+                    
to_shaped_array(numpy.ma.filled(ds[self.time][dimtoslice[self.time]], 
numpy.NaN)))
 
                 output_tile.tile.time_series_tile.CopyFrom(tile)
 
diff --git a/tests/datafiles/not_empty_wswm.nc 
b/tests/datafiles/not_empty_wswm.nc
index 772bbcb..ce0ebcc 100644
Binary files a/tests/datafiles/not_empty_wswm.nc and 
b/tests/datafiles/not_empty_wswm.nc differ
diff --git a/tests/tilereadingprocessor_test.py 
b/tests/tilereadingprocessor_test.py
index 2700073..927b436 100644
--- a/tests/tilereadingprocessor_test.py
+++ b/tests/tilereadingprocessor_test.py
@@ -275,7 +275,7 @@ def test_read_not_empty_wswm(self):
         input_tile = nexusproto.NexusTile()
         tile_summary = nexusproto.TileSummary()
         tile_summary.granule = "file:%s" % test_file
-        tile_summary.section_spec = "time:0:1,rivid:0:500"
+        tile_summary.section_spec = "time:0:5832,rivid:0:1"
         input_tile.summary.CopyFrom(tile_summary)
 
         results = list(wswm_reader.process(input_tile))
@@ -287,23 +287,25 @@ def test_read_not_empty_wswm(self):
             self.assertTrue(nexus_tile.tile.HasField('time_series_tile'))
 
             tile = nexus_tile.tile.time_series_tile
-            self.assertEqual(500, from_shaped_array(tile.latitude).size)
-            self.assertEqual(500, from_shaped_array(tile.longitude).size)
-            self.assertEqual((1, 500), 
from_shaped_array(tile.variable_data).shape)
+            self.assertEqual(1, from_shaped_array(tile.latitude).size)
+            self.assertEqual(1, from_shaped_array(tile.longitude).size)
+            self.assertEqual((5832, 1), 
from_shaped_array(tile.variable_data).shape)
 
         tile1_data = 
np.ma.masked_invalid(from_shaped_array(results[0].tile.time_series_tile.variable_data))
-        self.assertEqual(500, np.ma.count(tile1_data))
-        self.assertAlmostEqual(41.390,
+        self.assertEqual(5832, np.ma.count(tile1_data))
+        self.assertAlmostEqual(45.837,
                                np.ma.min(
                                    
np.ma.masked_invalid(from_shaped_array(results[0].tile.time_series_tile.latitude))),
                                places=3)
-        self.assertAlmostEqual(42.071,
+        self.assertAlmostEqual(-122.789,
                                np.ma.max(
-                                   
np.ma.masked_invalid(from_shaped_array(results[0].tile.time_series_tile.latitude))),
+                                   
np.ma.masked_invalid(from_shaped_array(results[0].tile.time_series_tile.longitude))),
                                places=3)
 
-        self.assertEqual(852098400, results[0].tile.time_series_tile.time)
-        self.assertAlmostEqual(0.009,
+        tile1_times = from_shaped_array(results[0].tile.time_series_tile.time)
+        self.assertEqual(852098400, tile1_times[0])
+        self.assertEqual(915073200, tile1_times[-1])
+        self.assertAlmostEqual(1.473,
                                
np.ma.masked_invalid(from_shaped_array(results[0].tile.time_series_tile.variable_data))[
                                    0, 0],
                                places=3)


 

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