DAS-2219 Fix pylint error

Author: vutrannasa

swath_projector/adapter.py

@@ -120,7 +120,7 @@ def process_item(self, item: Item, source: HarmonySource):
         except Exception as err:
             logger.error('Reprojection failed: ' + str(err), exc_info=1)
             raise HarmonyException(
-                'Reprojection failed with error: ' + str(err)
+                f'Reprojection failed with error: {err}'
             ) from err
 
         finally:

swath_projector/interpolation.py

@@ -76,7 +76,7 @@ def check_variable_projectability(
     # Check 1: Missing coordinates
     coordinates_key = create_coordinates_key(variable_cf)
     if not coordinates_key:
-        return str(f'No coordinate variables found for this variable')
+        return 'No coordinate variables found for this variable'
 
     # Check 2: Validate dimension compatibility with coordinates
     try:
@@ -147,7 +147,7 @@ def resample_all_variables(
             # Reraise exception as application failures
             logger.error(f'Cannot reproject {variable}')
             logger.exception(error)
-            raise CannotReprojectVariable(error)
+            raise CannotReprojectVariable(error) from error
 
     dataset.close()
 

swath_projector/reproject.py

@@ -68,7 +68,7 @@ def reproject(
         )
     except Exception as err:
         logger.error(f'Unable to parse input file variables: {str(err)}')
-        raise UnableToParseInputFileVariables(err)
+        raise UnableToParseInputFileVariables(err) from err
 
     science_variables = var_info.get_science_variables()
 

swath_projector/swath_geometry.py

@@ -8,7 +8,6 @@
 from typing import List, Tuple
 
 import numpy as np
-from netCDF4 import Variable
 from pyproj import Proj
 
 
@@ -141,10 +140,6 @@ def get_valid_coordinates_mask(
     a fill value, or contain a NaN. Note, a value of 1 means that the pixel
     contains valid data.
 
-    When a `netCDF4.Variable` is loaded, the data will automatically be
-    read as a `numpy.ma.core.MaskedArray`. Values matching the `_FillValue`
-    as stored in the variable metadata will be masked.
-
     """
     valid_longitudes = np.logical_and(
         np.isfinite(longitudes), np.logical_not(longitudes[:].mask)