def test_options_conversion_st_algorithm(self):
opts = {
'note': '',
'etm7_collection': {
'inputs': ['LE07_L1TP_029030_20171222_20180117_01_T2'],
'products': ['st']
},
'resampling_method': 'nn',
'format': 'gtiff'
}
opts_split_window = deepcopy(opts)
opts_split_window['etm7_collection']['products'] = [
'st', 'stalg_split_window'
]
opts_single_chan = deepcopy(opts)
opts_single_chan['etm7_collection']['products'] = [
'st', 'stalg_single_channel'
]
self.assertDictEqual(
OptionsConversion._flatten(opts_split_window,
OptionsConversion.keywords_map), {
'include_st': True,
'output_format': 'gtiff',
'st_algorithm': 'split_window'
})
self.assertDictEqual(
OptionsConversion._flatten(opts_single_chan,
OptionsConversion.keywords_map), {
'include_st': True,
'output_format': 'gtiff',
'st_algorithm': 'single_channel'
})
def test_options_reanalysis_source(self):
opts = {
'note': '',
'etm7_collection': {
'inputs': ['LE07_L1TP_029030_20171222_20180117_01_T2'],
'products': ['st']
},
'resampling_method': 'nn',
'format': 'gtiff'
}
opts_narr = deepcopy(opts)
opts_narr['etm7_collection']['products'] = ['st', 'reanalsrc_narr']
self.assertDictEqual(
OptionsConversion._flatten(opts_narr,
OptionsConversion.keywords_map), {
'include_st': True,
'output_format': 'gtiff',
'reanalysis_source': 'narr'
})
opts_merra2 = deepcopy(opts)
opts_merra2['etm7_collection']['products'] = ['st', 'reanalsrc_merra2']
self.assertDictEqual(
OptionsConversion._flatten(opts_merra2,
OptionsConversion.keywords_map), {
'include_st': True,
'output_format': 'gtiff',
'reanalysis_source': 'merra2'
})
opts_fp = deepcopy(opts)
opts_fp['etm7_collection']['products'] = ['st', 'reanalsrc_fp']
self.assertDictEqual(
OptionsConversion._flatten(opts_fp,
OptionsConversion.keywords_map), {
'include_st': True,
'output_format': 'gtiff',
'reanalysis_source': 'fp'
})
opts_fpit = deepcopy(opts)
opts_fpit['etm7_collection']['products'] = ['st', 'reanalsrc_fpit']
self.assertDictEqual(
OptionsConversion._flatten(opts_fpit,
OptionsConversion.keywords_map), {
'include_st': True,
'output_format': 'gtiff',
'reanalysis_source': 'fpit'
})
def test_options_conversion_orca_algorithm(self):
opts = {
'note': '',
'olitirs8_collection': {
'inputs': ['LC08_L1TP_025027_20160521_20170223_01_T1'],
'products': ['orca']
},
'resampling_method': 'nn',
'format': 'gtiff'
}
self.assertDictEqual(
OptionsConversion._flatten(opts, OptionsConversion.keywords_map), {
'include_orca': True,
'output_format': 'gtiff'
})
