def test_readJSONMetadata(self):
"""readJSONMetadata should read in the file"""
dat = dm.readJSONMetadata(self.filename)
keys = ['PerigeePosGeod', 'S_sc_to_pfn', 'S_pfs_to_Bmin', 'Pfs_gsm',
'Pfn_ED_MLAT', 'ED_R', 'Dst', 'DateTime', 'DOY', 'ED_MLON',
'IntModel', 'ApogeePosGeod', 'CD_MLON', 'S_sc_to_pfs',
'GpsTime', 'JulianDate', 'M_ref', 'ED_MLT', 'Pfs_ED_MLAT',
'Bfs_geo', 'Bm', 'Pfn_CD_MLON', 'CD_MLAT', 'Pfs_geo',
'Rsm', 'Pmin_gsm', 'Rgei', 'Rgsm', 'Pfs_CD_MLAT', 'S_total',
'Rgeod_Height', 'Date', 'Alpha', 'M_igrf', 'Pfs_CD_MLT',
'ED_MLAT', 'CD_R', 'PerigeeTimes', 'UTC', 'Pfn_ED_MLT',
'BoverBeq', 'Lsimple', 'Lstar', 'I', 'DipoleTiltAngle',
'K', 'Bmin_gsm', 'S_Bmin_to_sc', 'Bfs_gsm', 'L',
'ApogeeTimes', 'ExtModel', 'Kp', 'Pfs_geod_LatLon',
'MlatFromBoverBeq', 'Pfn_gsm', 'Loss_Cone_Alpha_n', 'Bfn_geo',
'Pfn_CD_MLAT', 'Rgeod_LatLon', 'Pfs_ED_MLT', 'Pfs_CD_MLON',
'Bsc_gsm', 'Pfn_geod_Height', 'Lm_eq', 'Rgse',
'Pfn_geod_LatLon', 'CD_MLT', 'FieldLineType', 'Pfn_CD_MLT',
'Pfs_geod_Height', 'Rgeo', 'InvLat_eq', 'M_used',
'Loss_Cone_Alpha_s', 'Bfn_gsm', 'Pfn_ED_MLON', 'Pfn_geo',
'InvLat', 'Pfs_ED_MLON']
if str is bytes:
keys = [unicode(k) for k in keys]
# make sure data has all the keys and no more or less
for k in dat:
self.assertTrue(k in keys)
ind = keys.index(k)
del keys[ind]
self.assertEqual(len(keys), 0)
def test_writeJSONMetadata(self):
"""reading metadata should give same keys as original datamodel"""
dat = dm.readJSONMetadata(self.filename)
# make sure data has all te keys and no more or less
t_file = tempfile.NamedTemporaryFile(delete=False)
t_file.close()
dm.writeJSONMetadata(t_file.name, dat)
dat2 = dm.readJSONheadedASCII(t_file.name)
os.remove(t_file.name)
keylist1 = sorted(dat.keys())
keylist2 = sorted(dat2.keys())
self.assertTrue(keylist1==keylist2)
#now test that values in some metadata are identical
self.assertTrue((dat['PerigeePosGeod'] == dat2['PerigeePosGeod']).all())
def test_toJSONmetadata_globals(self):
"""Test for handling of int, float, bool, list & dict in global attrs"""
a = dm.SpaceData()
a.attrs['Global1'] = 'A global string attribute'
a.attrs['Global2'] = 2
a.attrs['Global3'] = 3.0
a.attrs['Global4'] = [1,2,3,4]
a.attrs['Global5'] = True
a['Var1'] = dm.dmarray([1,2,3,4,5], attrs={'Local1': 'A local attribute'})
a['Var2'] = dm.dmarray([[8,9],[9,1],[3,4],[8,9],[7,8]])
a['MVar'] = dm.dmarray([7.8], attrs={'Note': 'Metadata'})
t_file = tempfile.NamedTemporaryFile(delete=False)
t_file.close()
dm.writeJSONMetadata(t_file.name, a)
dat2 = dm.readJSONMetadata(t_file.name)
#test global attr
self.assertTrue(a.attrs==dat2.attrs)
#test that metadata is back and all original keys are present
for key in a['MVar'].attrs:
self.assertTrue(key in dat2['MVar'].attrs)
np.testing.assert_array_equal(a['MVar'], dat2['MVar'])
os.remove(t_file.name)
