Additional test

wetb/gtsdf/gtsdf_load.m

 
 function [time, data, info] = gtsdf_load(filename)
+
+%  gtsdf_load Load a General time series data format - file
+%   Example:
+%       [time, data, info] = gtsdf_load('tests/test_files/test.hdf5')
+%
+
     
     if nargin==0
         filename = 'examples/all.hdf5';
     end
 
-
-    %h5disp('examples/minimum.hdf5');
-
-    %info = h5info(filename);
-  
-
     function value = att_value(name, addr, default)
         try
             value = h5readatt(filename, addr,name);
@@ -32,7 +32,7 @@ function [time, data, info] = gtsdf_load(filename)
     end
     
 
-    if not (strcmpi(att_value('type','/'), 'general time series data format'))
+    if not (strcmpi(lower(att_value('type','/')), 'general time series data format'))
         error('HDF5 file must contain a ''type''-attribute with the value ''General time series data format''')
     end
     if strcmp(att_value('no_blocks','/'),'')

wetb/gtsdf/tests/test_gtsdf.py

@@ -13,6 +13,7 @@ import os
 import shutil
 
 tmp_path = os.path.dirname(__file__) + "/tmp/"
+tfp = os.path.dirname(__file__) + "/test_files/"
 class Test_gsdf(unittest.TestCase):
     def setUp(self):
         unittest.TestCase.setUp(self)
@@ -208,6 +209,13 @@ class Test_gsdf(unittest.TestCase):
                    attribute_descriptions=['d1', 'd2'])
         df = gtsdf.load_pandas(fn)
 
+    def test_loadtesthdf5(self):
+
+        time, data, info = gtsdf.load(tfp + 'test.hdf5')
+        self.assertEqual(time[1], 0.05)
+        self.assertEqual(data[1, 1], 11.986652374267578)
+        self.assertEqual(info['attribute_names'][1], "WSP gl. coo.,Vy")
+
 
 
 if __name__ == "__main__":