Harrison L3 - GSTU/EYEA - CoDICE: Change expected variable name from L2 hi-sectored product to spin_angle

Author: Menlo Innovations - CAVA Project

imap_l3_processing/codice/l3/hi/models.py

@@ -273,7 +273,7 @@ def read_from_cdf(cls, l2_sectored_intensities_cdf):
         with CDF(str(l2_sectored_intensities_cdf)) as cdf:
             return cls(epoch=cdf["epoch"][...],
                        epoch_delta_plus=np.array([timedelta(seconds=ns / 1e9) for ns in cdf["epoch_delta_plus"][...]]),
-                       spin_angles=cdf['spin_angles'][...],
+                       spin_angles=cdf['spin_angle'][...],
                        elevation_angle=cdf['elevation_angle'][...],
                        data_quality=cdf['data_quality'][...],
                        h_intensities=read_numeric_variable(cdf['h']),

tests/codice/l3/hi/test_models.py

@@ -187,15 +187,14 @@ def test_codice_hi_l3_pitch_angle_to_data_product(self):
                 np.testing.assert_array_equal(data_product_var.value, np.array([10 * 1e9]))
 
     def test_l2_sectored_intensities_read_from_sdc_cdf(self):
-        l2_path = get_test_instrument_team_data_path(
-            "codice/hi/imap_codice_l2_hi-sectored_20250814_v002.cdf")
+        l2_path = get_test_instrument_team_data_path("codice/hi/imap_codice_l2_hi-sectored_20251206_v002.cdf")
         l2_sectored_data = CodiceHiL2SectoredIntensitiesData.read_from_cdf(l2_path)
 
         with CDF(str(l2_path)) as cdf:
             np.testing.assert_array_equal(l2_sectored_data.epoch, cdf["epoch"])
             expected_epoch_delta = np.array([timedelta(seconds=ns / 1e9) for ns in cdf["epoch_delta_plus"][...]])
             np.testing.assert_array_equal(l2_sectored_data.epoch_delta_plus, expected_epoch_delta)
-            np.testing.assert_array_equal(l2_sectored_data.spin_angles, cdf['spin_angles'][...])
+            np.testing.assert_array_equal(l2_sectored_data.spin_angles, cdf['spin_angle'][...])
             np.testing.assert_array_equal(l2_sectored_data.elevation_angle, cdf['elevation_angle'])
 
             np.testing.assert_array_equal(l2_sectored_data.data_quality, cdf['data_quality'])

tests/periodically_run_tests.json

@@ -5,5 +5,5 @@
     "test_ultra_all_sp_maps": "2026-01-26T13:05:08.238429",
     "test_ultra_combined_maps": null,
     "test_ultra_combined_nsp_maps": "2026-01-20T14:20:23.754122",
-    "test_ultra_combined_sp_maps": "2026-01-20T14:02:08.503711"
+    "test_ultra_combined_sp_maps": "2026-01-29T13:42:59.404468"
 }