Closed agrouaze closed 1 year ago
ff = 'SENTINEL1_DS:/home/datawork-cersat-public/cache/project/mpc-sentinel1/data/esa/sentinel-1a/L1/WV/S1A_WV_SLC__1S/2018/002/S1A_WV_SLC__1SSV_20180102T001727_20180102T003647_019968_022027_5FBD.SAFE ...: /:WV_001' In [9]: xsar.open_dataset(ff,resolution=100) path: /home/datawork-cersat-public/cache/project/mpc-sentinel1/data/esa/sentinel-1a/L1/WV/S1A_WV_SLC__1S/2018/002/S1A_WV_SLC__1SSV_20180102T001727_20180102T003647_019968_022027_5FBD.SAFE/ --------------------------------------------------------------------------- KeyError Traceback (most recent call last) File /opt/conda-envs/dev/lib/python3.10/site-packages/xarray/core/dataset.py:1393, in Dataset._construct_dataarray(self, name) 1392 try: -> 1393 variable = self._variables[name] 1394 except KeyError: KeyError: 'noise_lut' During handling of the above exception, another exception occurred: KeyError Traceback (most recent call last) Cell In[9], line 1 ----> 1 xsar.open_dataset(ff,resolution=100) File /home1/datahome/agrouaze/sources/git/xsar/src/xsar/utils.py:94, in timing.<locals>.wrapper(*args, **kwargs) 92 startrss = process.memory_info().rss 93 starttime = time.time() ---> 94 result = f(*args, **kwargs) 95 endtime = time.time() 96 if mem_monitor: File /home1/datahome/agrouaze/sources/git/xsar/src/xsar/xsar.py:68, in open_dataset(*args, **kwargs) 66 # TODO: check product type (S1, RS2), and call specific reader 67 if isinstance(dataset_id, Sentinel1Meta) or isinstance(dataset_id, str) and "S1" in dataset_id: ---> 68 sar_obj = Sentinel1Dataset(*args, **kwargs) 69 elif isinstance(dataset_id, RadarSat2Meta) or isinstance(dataset_id, str) and "RS2" in dataset_id: 70 sar_obj = RadarSat2Dataset(*args, **kwargs) File /home1/datahome/agrouaze/sources/git/xsar/src/xsar/sentinel1_dataset.py:153, in Sentinel1Dataset.__init__(***failed resolving arguments***) 151 ds_noise_azi = self.sar_meta.get_noise_azi_raw 152 if self.sar_meta.swath == 'WV': --> 153 ds_noise_azi['noise_lut'] = self._patch_lut(ds_noise_azi[ 154 'noise_lut']) # patch applied here is distinct to same patch applied on interpolated noise LUT 155 ds_noise_azi.attrs['history'] = 'noise' 157 self.datatree = datatree.DataTree.from_dict({'measurement': DN_tmp, 'geolocation_annotation': geoloc, 158 'bursts': bu, 'FMrate': FM, 'doppler_estimate': dop, 159 # 'image_information': (...) 164 'noise_azimuth': ds_noise_azi 165 }) File /opt/conda-envs/dev/lib/python3.10/site-packages/xarray/core/dataset.py:1484, in Dataset.__getitem__(self, key) 1482 return self.isel(**key) 1483 if utils.hashable(key): -> 1484 return self._construct_dataarray(key) 1485 if utils.iterable_of_hashable(key): 1486 return self._copy_listed(key) File /opt/conda-envs/dev/lib/python3.10/site-packages/xarray/core/dataset.py:1395, in Dataset._construct_dataarray(self, name) 1393 variable = self._variables[name] 1394 except KeyError: -> 1395 _, name, variable = _get_virtual_variable(self._variables, name, self.dims) 1397 needed_dims = set(variable.dims) 1399 coords: dict[Hashable, Variable] = {} File /opt/conda-envs/dev/lib/python3.10/site-packages/xarray/core/dataset.py:196, in _get_virtual_variable(variables, key, dim_sizes) 194 split_key = key.split(".", 1) 195 if len(split_key) != 2: --> 196 raise KeyError(key) 198 ref_name, var_name = split_key 199 ref_var = variables[ref_name] KeyError: 'noise_lut'
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