Fix for JIRA ODSC-77609.

ads/model/runtime/utils.py

@@ -5,18 +5,15 @@
 # Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl/
 
 import json
+import logging
 import os
-from functools import lru_cache
 from typing import Dict, Tuple
-import logging
 
 import fsspec
-import requests
 import yaml
 from cerberus import DocumentError, Validator
 
 from ads.common.object_storage_details import ObjectStorageDetails
-from ads.common.utils import PAR_LINK
 
 MODEL_PROVENANCE_SCHEMA_PATH = os.path.join(
     os.path.dirname(os.path.abspath(__file__)),
@@ -127,9 +124,10 @@ def _get_index_json_through_bucket(
             service_packs = json.loads(f.read())
         service_pack_list = service_packs.get(SERVICE_PACKS)
     except Exception as e:
-        logging.warn(e)
-        logging.warn(
-            "Failed to retrieve the full conda pack path from slug. Pass conda pack path 'oci://<bucketname>@<namespace>/<path_to_conda>' instead of slug."
+        logging.error(
+            f"Error occurred in attempt to extract the list of the service conda environments "
+            f"from the object storage for bucket '{bucketname}' and namespace '{namespace}'. "
+            f"Please make sure that you've provided correct bucket and namespace."
         )
     return service_pack_list
 
@@ -159,22 +157,21 @@ def get_service_packs(
     """
     service_pack_path_mapping = {}
     service_pack_slug_mapping = {}
+
     try:
-        response = requests.request("GET", PAR_LINK)
-
-        # if there is internet
-        if response.ok:
-            service_pack_list = response.json().get(SERVICE_PACKS)
-        # response not good.
-        else:
-            service_pack_list = _get_index_json_through_bucket(
-                namespace=namespace, bucketname=bucketname, auth=auth
-            )
-    except Exception as e:
-        # not internet
         service_pack_list = _get_index_json_through_bucket(
-            namespace=namespace, bucketname=bucketname, auth=auth
+            namespace=namespace,
+            bucketname=bucketname,
+            auth=auth
+        )
+    except Exception as e:
+        logging.error(
+            "Failed to fetch service packs index from namespace '%s' and bucket '%s': %s",
+            namespace,
+            bucketname,
+            str(e),
         )
+        return service_pack_path_mapping, service_pack_slug_mapping
 
     for service_pack in service_pack_list:
         # Here we need to replace the namespace and bucketname

tests/unitary/with_extras/evaluator/test_evaluator.py

@@ -6,22 +6,23 @@
 """
 Contains tests for ads.evaluations.evaluator
 """
-import pytest
-import unittest
 import tempfile
-from ads.evaluations.evaluator import Evaluator
+import unittest
 
-from sklearn.datasets import make_regression
-from sklearn.datasets import make_classification
-from sklearn.model_selection import train_test_split
+import pandas as pd
+import pytest
 from lightgbm import LGBMClassifier, LGBMRegressor
-from sklearn.tree import DecisionTreeClassifier
+from sklearn.datasets import make_classification, make_regression
 from sklearn.linear_model import LinearRegression
-import pandas as pd
+from sklearn.model_selection import train_test_split
+from sklearn.tree import DecisionTreeClassifier
+
 from ads.common.model_metadata import UseCaseType
+from ads.evaluations.evaluator import Evaluator
 from ads.model.framework.lightgbm_model import LightGBMModel
 from ads.model.framework.sklearn_model import SklearnModel
 
+DEFAULT_PYTHON_VERSION = "3.12"
 
 def test_model_types():
     with pytest.raises(ValueError):
@@ -39,6 +40,7 @@ def test_pandas_input():
     model.prepare(
         inference_conda_env="generalml_p38_cpu_v1",
         training_conda_env="generalml_p38_cpu_v1",
+        inference_python_version=DEFAULT_PYTHON_VERSION,
         X_sample=X,
         y_sample=y,
         use_case_type=UseCaseType.MULTINOMIAL_CLASSIFICATION,
@@ -100,6 +102,7 @@ def train_eval_model(self, data, model, use_case):
         my_model.prepare(
             inference_conda_env="generalml_p38_cpu_v1",
             training_conda_env="generalml_p38_cpu_v1",
+            inference_python_version=DEFAULT_PYTHON_VERSION,
             X_sample=X_test,
             y_sample=y_test,
             use_case_type=use_case,

tests/unitary/with_extras/model/test_generic_model.py

@@ -40,9 +40,9 @@
 from ads.model.deployment.common.utils import State as ModelDeploymentState
 from ads.model.generic_model import (
     _ATTRIBUTES_TO_SHOW_,
+    ArtifactsNotAvailableError,
     GenericModel,
     NotActiveDeploymentError,
-    ArtifactsNotAvailableError,
     SummaryStatus,
     _prepare_artifact_dir,
 )
@@ -165,7 +165,7 @@
 
 INFERENCE_CONDA_ENV = "oci://bucket@namespace/<path_to_service_pack>"
 TRAINING_CONDA_ENV = "oci://bucket@namespace/<path_to_service_pack>"
-DEFAULT_PYTHON_VERSION = "3.8"
+DEFAULT_PYTHON_VERSION = "3.12"
 MODEL_FILE_NAME = "fake_model_name"
 FAKE_MD_URL = "http://<model-deployment-url>"
 
@@ -257,7 +257,8 @@ def test__handle_model_file_name_raise_error(self):
     def test_prepare(self, mock_signer):
         """prepare a trained model."""
         self.generic_model.prepare(
-            "oci://service-conda-packs@ociodscdev/service_pack/cpu/General_Machine_Learning_for_CPUs/1.0/mlcpuv1",
+            inference_conda_env="oci://service-conda-packs@ociodscdev/service_pack/cpu/General_Machine_Learning_for_CPUs/1.0/mlcpuv1",
+            inference_python_version=DEFAULT_PYTHON_VERSION,
             model_file_name="fake_model_name",
         )
 
@@ -1449,7 +1450,8 @@ def test__to_dict_not_prepared(self):
     @patch("ads.common.auth.default_signer")
     def test__to_dict_prepared(self, moxk_signer):
         self.generic_model.prepare(
-            "oci://service-conda-packs@ociodscdev/service_pack/cpu/General_Machine_Learning_for_CPUs/1.0/mlcpuv1"
+            inference_conda_env="oci://service-conda-packs@ociodscdev/service_pack/cpu/General_Machine_Learning_for_CPUs/1.0/mlcpuv1",
+            inference_python_version=DEFAULT_PYTHON_VERSION
         )
         dictionary = self.generic_model._to_dict()
         for key in _ATTRIBUTES_TO_SHOW_:
@@ -2255,7 +2257,7 @@ class TestCommonMethods:
     def test__prepare_artifact_dir(
         self, mock_signer, mock_mkdtemp, test_value, expected_value
     ):
-        """Ensures that artifact dir name can be benerated propertly."""
+        """Ensures that artifact dir name can be generated propertly."""
 
         assert (
             _prepare_artifact_dir(test_value) == expected_value

tests/unitary/with_extras/model/test_model_metadata_mixin.py

@@ -3,20 +3,22 @@
 # Copyright (c) 2022, 2023 Oracle and/or its affiliates.
 # Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl/
 
+import os
+import shutil
 from unittest.mock import patch
+
 import numpy as np
 import pytest
+import sklearn
+import xgboost
 from sklearn import datasets, linear_model
 
-from ads.model.generic_model import GenericModel
+from ads.feature_engineering.schema import Schema
 from ads.model.framework.sklearn_model import SklearnModel
 from ads.model.framework.xgboost_model import XGBoostModel
-from ads.feature_engineering.schema import Schema
-import sklearn
-import os
-import shutil
-import xgboost
+from ads.model.generic_model import GenericModel
 
+DEFAULT_PYTHON_VERSION = "3.12"
 
 class TestMetadataMixin:
     def setup_method(cls):
@@ -49,6 +51,7 @@ def test_metadata_generic_model(self):
         model.prepare(
             inference_conda_env="dataexpl_p37_cpu_v3",
             namespace="ociodscdev",
+            inference_python_version=DEFAULT_PYTHON_VERSION,
             model_file_name="model.joblib",
             force_overwrite=True,
         )