def setUp(self):
"""Prepare a reader instance with a fake config."""
patterns = ['a{something:3s}.bla']
res_dict = {'reader': {'name': 'fake',
'sensors': ['canon']},
'file_types': {'ftype1': {'name': 'ft1',
'file_reader': BaseFileHandler,
'file_patterns': patterns}},
'datasets': {'ch1': {'name': 'ch01',
'wavelength': [0.5, 0.6, 0.7],
'calibration': 'reflectance',
'file_type': 'ftype1',
'coordinates': ['lons', 'lats']},
'ch2': {'name': 'ch02',
'wavelength': [0.7, 0.75, 0.8],
'calibration': 'counts',
'file_type': 'ftype1',
'coordinates': ['lons', 'lats']},
'lons': {'name': 'lons',
'file_type': 'ftype2'},
'lats': {'name': 'lats',
'file_type': 'ftype2'}}}
self.config = res_dict
self.reader = yr.FileYAMLReader(res_dict,
filter_parameters={
'start_time': datetime(2000, 1, 1),
'end_time': datetime(2000, 1, 2),
})
def setUp(self, _, rec_up): # pylint: disable=arguments-differ
"""Setup a reader instance with a fake config."""
patterns = ['a{something:3s}.bla']
res_dict = {'reader': {'name': 'fake',
'sensors': ['canon']},
'file_types': {'ftype1': {'name': 'ft1',
'file_patterns': patterns}},
'datasets': {'ch1': {'name': 'ch01',
'wavelength': [0.5, 0.6, 0.7],
'calibration': 'reflectance',
'file_type': 'ftype1',
'coordinates': ['lons', 'lats']},
'ch2': {'name': 'ch02',
'wavelength': [0.7, 0.75, 0.8],
'calibration': 'counts',
'file_type': 'ftype1',
'coordinates': ['lons', 'lats']},
'lons': {'name': 'lons',
'file_type': 'ftype2'},
'lats': {'name': 'lats',
'file_type': 'ftype2'}}}
rec_up.return_value = res_dict
self.config = res_dict
self.reader = yr.FileYAMLReader([__file__],
start_time=datetime(2000, 1, 1),
end_time=datetime(2000, 1, 2))
def setUp(self, _, rec_up): # pylint: disable=arguments-differ
"""Setup a reader instance with a fake config."""
# Example: GOES netCDF data
# a) From NOAA CLASS: ftype1, including coordinates
# b) From EUMETSAT: ftype2, coordinates in extra file (ftype3)
#
# For test completeness add one channel (ch3) which is only available
# in ftype1.
patterns1 = ['a.nc']
patterns2 = ['b.nc']
patterns3 = ['geo.nc']
res_dict = {'reader': {'name': 'fake',
'sensors': ['canon']},
'file_types': {'ftype1': {'name': 'ft1',
'file_patterns': patterns1},
'ftype2': {'name': 'ft2',
'file_patterns': patterns2},
'ftype3': {'name': 'ft3',
'file_patterns': patterns3}},
'datasets': {'ch1': {'name': 'ch01',
'wavelength': [0.5, 0.6, 0.7],
'calibration': 'reflectance',
'file_type': ['ftype1', 'ftype2'],
'coordinates': ['lons', 'lats']},
'ch2': {'name': 'ch02',
'wavelength': [0.7, 0.75, 0.8],
'calibration': 'counts',
'file_type': ['ftype1', 'ftype2'],
'coordinates': ['lons', 'lats']},
'ch3': {'name': 'ch03',
'wavelength': [0.8, 0.85, 0.9],
'calibration': 'counts',
'file_type': 'ftype1',
'coordinates': ['lons', 'lats']},
'lons': {'name': 'lons',
'file_type': ['ftype1', 'ftype3']},
'lats': {'name': 'lats',
'file_type': ['ftype1', 'ftype3']}}}
rec_up.return_value = res_dict
self.config = res_dict
self.reader = yr.FileYAMLReader([__file__])
