def prepare_area_defs(self, test_dict):
"""Prepare calculated and expected area definitions for equal checking."""
earth_model = test_dict['earth_model']
dataset_id = test_dict['dataset_id']
is_full_disk = test_dict['is_full_disk']
header = self.create_test_header(earth_model, dataset_id, is_full_disk)
trailer = self.create_test_trailer()
expected_area_def = test_dict['expected_area_def']
with mock.patch(
'satpy.readers.seviri_l1b_native.np.fromfile') as fromfile:
fromfile.return_value = header
with mock.patch('satpy.readers.seviri_l1b_native.recarray2dict'
) as recarray2dict:
recarray2dict.side_effect = (lambda x: x)
with mock.patch(
'satpy.readers.seviri_l1b_native.NativeMSGFileHandler._get_memmap'
) as _get_memmap:
_get_memmap.return_value = np.arange(3)
with mock.patch(
'satpy.readers.seviri_l1b_native.NativeMSGFileHandler._read_trailer'
):
fh = NativeMSGFileHandler(None, {}, None)
fh.header = header
fh.trailer = trailer
calc_area_def = fh.get_area_def(dataset_id)
return (calc_area_def, expected_area_def)
def prepare_area_extents(self, test_dict):
earth_model = test_dict['earth_model']
dsid = test_dict['dsid']
is_full_disk = test_dict['is_full_disk']
header = self.create_test_header(earth_model, dsid, is_full_disk)
expected_area_extent = (np.array(test_dict['expected_area_extent']))
with mock.patch(
'satpy.readers.seviri_l1b_native.np.fromfile') as fromfile:
fromfile.return_value = header
with mock.patch('satpy.readers.seviri_l1b_native.recarray2dict'
) as recarray2dict:
recarray2dict.side_effect = (lambda x: x)
with mock.patch(
'satpy.readers.seviri_l1b_native.NativeMSGFileHandler._get_memmap'
) as _get_memmap:
_get_memmap.return_value = np.arange(3)
with mock.patch(
'satpy.readers.seviri_l1b_native.NativeMSGFileHandler._read_trailer'
):
fh = NativeMSGFileHandler(None, {}, None)
fh.header = header
calc_area_extent = np.array(fh.get_area_extent(dsid))
return (calc_area_extent, expected_area_extent)
def file_handler(self):
"""Create a mocked file handler."""
header = {
'15_DATA_HEADER': {
'RadiometricProcessing': {
'Level15ImageCalibration': {
'CalSlope': self.gains_nominal,
'CalOffset': self.offsets_nominal,
},
'MPEFCalFeedback': {
'GSICSCalCoeff': self.gains_gsics,
'GSICSOffsetCount': self.offsets_gsics
}
},
'ImageDescription': {
'Level15ImageProduction': {
'PlannedChanProcessing': self.radiance_types
}
},
'ImageAcquisition': {
'PlannedAcquisitionTime': {
'TrueRepeatCycleStart': self.scan_time
}
}
}
}
with mock.patch(
'satpy.readers.seviri_l1b_native.NativeMSGFileHandler.__init__',
return_value=None):
fh = NativeMSGFileHandler()
fh.header = header
fh.platform_id = self.platform_id
return fh
def prepare_is_roi(self, test_dict):
"""Prepare calculated and expected check for region of interest data for equal checking."""
earth_model = 2
dataset_id = make_dataid(name='VIS006')
is_full_disk = test_dict['is_full_disk']
is_rapid_scan = test_dict['is_rapid_scan']
header = self.create_test_header(earth_model, dataset_id, is_full_disk,
is_rapid_scan)
trailer = self.create_test_trailer(is_rapid_scan)
expected_is_roi = test_dict['is_roi']
with mock.patch(
'satpy.readers.seviri_l1b_native.np.fromfile') as fromfile:
fromfile.return_value = header
with mock.patch('satpy.readers.seviri_l1b_native.recarray2dict'
) as recarray2dict:
recarray2dict.side_effect = (lambda x: x)
with mock.patch(
'satpy.readers.seviri_l1b_native.NativeMSGFileHandler._get_memmap'
) as _get_memmap:
_get_memmap.return_value = np.arange(3)
with mock.patch(
'satpy.readers.seviri_l1b_native.NativeMSGFileHandler._read_trailer'
):
fh = NativeMSGFileHandler(None, {}, None)
fh.header = header
fh.trailer = trailer
calc_is_roi = fh.is_roi()
return (calc_is_roi, expected_is_roi)
def calibration_mode_test(self, test_dict, cal_mode):
"""Test the Calibration Mode."""
# dummy data array
data = xr.DataArray([255., 200., 300.])
earth_model = test_dict['earth_model']
dataset_id = test_dict['dataset_id']
index = CHANNEL_INDEX_LIST.index(dataset_id['name'])
# determine the cal coeffs needed for the expected data calculation
if cal_mode == 'nominal':
cal_slope = test_dict['CalSlope'][index]
cal_offset = test_dict['CalOffset'][index]
else:
cal_slope_arr = test_dict['GSICSCalCoeff']
cal_offset_arr = test_dict['GSICSOffsetCount']
cal_offset = cal_offset_arr[index] * cal_slope_arr[index]
cal_slope = cal_slope_arr[index]
is_full_disk = test_dict['is_full_disk']
is_rapid_scan = test_dict['is_rapid_scan']
header = self.create_test_header(earth_model, dataset_id, is_full_disk,
is_rapid_scan)
with mock.patch(
'satpy.readers.seviri_l1b_native.np.fromfile') as fromfile:
fromfile.return_value = header
with mock.patch('satpy.readers.seviri_l1b_native.recarray2dict'
) as recarray2dict:
recarray2dict.side_effect = (lambda x: x)
with mock.patch(
'satpy.readers.seviri_l1b_native.NativeMSGFileHandler._get_memmap'
) as _get_memmap:
_get_memmap.return_value = np.arange(3)
with mock.patch(
'satpy.readers.seviri_l1b_native.NativeMSGFileHandler._read_trailer'
):
# Create an instance of the native msg reader
# with the calibration mode to test
fh = NativeMSGFileHandler(None, {},
None,
calib_mode=cal_mode)
# Calculate the expected calibration values using the coeffs
# from the test data set
expected = fh._convert_to_radiance(
data, cal_slope, cal_offset)
# Calculate the calibrated values using the cal coeffs from the
# test header and using the correct calibration mode values
fh.header = header
calculated = fh.calibrate(data, dataset_id)
return (expected.data, calculated.data)
