update files to no longer depend on deprecated distutils package

src/sasctl/_services/score_execution.py

@@ -1,7 +1,7 @@
 import json
 import time
 import warnings
-from distutils.version import StrictVersion
+from packaging.version import Version
 from typing import Union
 
 import pandas as pd
@@ -219,7 +219,7 @@ def _no_gateway_get_results(cls, server_name, library_name, table_name):
         Pandas Dataframe
 
         """
-        if pd.__version__ >= StrictVersion("1.0.3"):
+        if Version(pd.__version__) >= Version("1.0.3"):
             from pandas import json_normalize
         else:
             from pandas.io.json import json_normalize

src/sasctl/pzmm/model_parameters.py

@@ -1,11 +1,11 @@
 # Copyright (c) 2022, SAS Institute Inc., Cary, NC, USA.  All Rights Reserved.
 # SPDX-License-Identifier: Apache-2.0
 import json
-from distutils.version import StrictVersion
 from pathlib import Path
 from typing import Any, Optional, Tuple, Union
 
 import pandas as pd
+from packaging.version import Version
 from pandas import DataFrame
 
 from .._services.model_repository import ModelRepository as mr
@@ -325,7 +325,7 @@ def get_project_kpis(
             missing values are replaced with pandas-valid missing values.
         """
         # Check the pandas version for where the json_normalize function exists
-        if pd.__version__ >= StrictVersion("1.0.3"):
+        if Version(pd.__version__) >= Version("1.0.3"):
             from pandas import json_normalize
         else:
             from pandas.io.json import json_normalize

src/sasctl/tasks.py

@@ -895,12 +895,12 @@ def get_project_kpis(
         A pandas DataFrame representing the MM_STD_KPI table. Note that SAS
         missing values are replaced with pandas valid missing values.
     """
-    from distutils.version import StrictVersion
+    from packaging.version import Version
 
     from .core import is_uuid
 
     # Check the pandas version for where the json_normalize function exists
-    if pd.__version__ >= StrictVersion("1.0.3"):
+    if Version(pd.__version__) >= Version("1.0.3"):
         from pandas import json_normalize
     else:
         from pandas.io.json import json_normalize