Add CI testing that makes use of a variable map

This also tests the new openMultifileDataset function.

Author: xylar

mpas_analysis/test/test_var_map.py

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+"""
+Unit test infrastructure for variable mapping.
+
+Xylar Asay-Davis
+02/08/2017
+"""
+
+import pytest
+from mpas_analysis.test import TestCase, loaddatadir
+from mpas_analysis.shared.dataset.utility import openMultifileDataset
+
+
+@pytest.mark.usefixtures("loaddatadir")
+class TestVariableMapping(TestCase):
+
+    def test_variable_map(self):
+        fileName = str(self.datadir.join('example_jan.nc'))
+        varMap = {
+            'avgSurfaceTemperature':
+                ['time_avg_avgValueWithinOceanRegion_avgSurfaceTemperature',
+                 'other_string',
+                 'yet_another_string'],
+            'daysSinceStartOfSim':
+                ['time_avg_daysSinceStartOfSim',
+                 'xtime',
+                 'something_else'],
+            'avgLayerTemperature':
+                ['time_avg_avgValueWithinOceanLayerRegion_avgLayerTemperature',
+                 'test1',
+                 'test2'],
+            'Time': [['xtime_start', 'xtime_end'],
+                     'time_avg_daysSinceStartOfSim']}
+
+        varList = ['avgSurfaceTemperature', 'avgLayerTemperature',
+                   'refBottomDepth', 'daysSinceStartOfSim']
+
+        # preprocess_mpas will use varMap to map the variable names from their
+        # values in the file to the desired values in varList
+        ds = openMultifileDataset(fileName, calendar='gregorian',
+                                  timeVariableName='Time',
+                                  variableList=varList, variableMap=varMap,
+                                  yearOffset=1850)
+
+        # make sure the remapping happened as expected
+        self.assertEqual(sorted(ds.data_vars.keys()), sorted(varList))
+
+# vim: foldmethod=marker ai ts=4 sts=4 et sw=4 ft=python

mpas_analysis/test/test_var_map/example_jan.nc

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+../test_mpas_xarray/example_jan.nc