Unify the improt statments for the logger in the `bugbug/models` directory (#3365)

bugbug/model.py

@@ -3,9 +3,9 @@
 # License, v. 2.0. If a copy of the MPL was not distributed with this file,
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
+import logging
 import pickle
 from collections import defaultdict
-from logging import INFO, basicConfig, getLogger
 from typing import Any
 
 import matplotlib
@@ -30,8 +30,8 @@ from bugbug.github import Github
 from bugbug.nlp import SpacyVectorizer
 from bugbug.utils import split_tuple_generator, to_array
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 
 def classification_report_imbalanced_values(

bugbug/models/annotate_ignore.py

@@ -3,7 +3,7 @@
 # License, v. 2.0. If a copy of the MPL was not distributed with this file,
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
-from logging import INFO, basicConfig, getLogger
+import logging
 
 import xgboost
 from imblearn.under_sampling import RandomUnderSampler
@@ -14,8 +14,8 @@ from sklearn.pipeline import Pipeline
 from bugbug import bugzilla, commit_features, feature_cleanup, labels, repository, utils
 from bugbug.model import CommitModel
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 
 class AnnotateIgnoreModel(CommitModel):

bugbug/models/assignee.py

@@ -3,8 +3,8 @@
 # License, v. 2.0. If a copy of the MPL was not distributed with this file,
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
+import logging
 from collections import Counter
-from logging import INFO, basicConfig, getLogger
 
 import xgboost
 from sklearn.compose import ColumnTransformer
@@ -25,8 +25,8 @@ ADDRESSES_TO_EXCLUDE = [
     "nobody@t4b.me",
 ]
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 
 class AssigneeModel(BugModel):

bugbug/models/backout.py

@@ -3,8 +3,8 @@
 # License, v. 2.0. If a copy of the MPL was not distributed with this file,
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
+import logging
 from datetime import datetime
-from logging import INFO, basicConfig, getLogger
 
 import dateutil.parser
 import xgboost
@@ -17,8 +17,8 @@ from sklearn.pipeline import Pipeline
 from bugbug import bug_features, commit_features, feature_cleanup, repository, utils
 from bugbug.model import CommitModel
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 
 class BackoutModel(CommitModel):

bugbug/models/component.py

@@ -3,9 +3,9 @@
 # License, v. 2.0. If a copy of the MPL was not distributed with this file,
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
+import logging
 from collections import Counter
 from datetime import datetime, timezone
-from logging import INFO, basicConfig, getLogger
 
 import dateutil.parser
 import xgboost
@@ -18,8 +18,8 @@ from bugbug import bug_features, bugzilla, feature_cleanup, utils
 from bugbug.bugzilla import get_product_component_count
 from bugbug.model import BugModel
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 
 class ComponentModel(BugModel):

bugbug/models/defect.py

@@ -4,7 +4,7 @@
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
 import itertools
-from logging import INFO, basicConfig, getLogger
+import logging
 from typing import Any
 
 import xgboost
@@ -16,8 +16,8 @@ from sklearn.pipeline import Pipeline
 from bugbug import bug_features, bugzilla, feature_cleanup, labels, utils
 from bugbug.model import BugModel
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 
 class DefectModel(BugModel):

bugbug/models/defect_enhancement_task.py

@@ -3,13 +3,13 @@
 # License, v. 2.0. If a copy of the MPL was not distributed with this file,
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
-from logging import INFO, basicConfig, getLogger
+import logging
 from typing import Any
 
 from bugbug.models.defect import DefectModel
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 
 class DefectEnhancementTaskModel(DefectModel):

bugbug/models/duplicate.py

@@ -3,9 +3,9 @@
 # License, v. 2.0. If a copy of the MPL was not distributed with this file,
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
+import logging
 import random
 from itertools import combinations
-from logging import INFO, basicConfig, getLogger
 
 from sklearn.compose import ColumnTransformer
 from sklearn.feature_extraction import DictVectorizer
@@ -17,8 +17,8 @@ from bugbug.model import BugCoupleModel
 
 REPORTERS_TO_IGNORE = {"intermittent-bug-filer@mozilla.bugs", "wptsync@mozilla.bugs"}
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 
 class DuplicateModel(BugCoupleModel):

bugbug/models/regression.py

@@ -3,13 +3,13 @@
 # License, v. 2.0. If a copy of the MPL was not distributed with this file,
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
-from logging import INFO, basicConfig, getLogger
+import logging
 from typing import Any
 
 from bugbug.models.defect import DefectModel
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 
 class RegressionModel(DefectModel):

bugbug/models/regressionrange.py

@@ -3,7 +3,7 @@
 # License, v. 2.0. If a copy of the MPL was not distributed with this file,
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
-from logging import INFO, basicConfig, getLogger
+import logging
 
 import xgboost
 from imblearn.under_sampling import RandomUnderSampler
@@ -14,8 +14,8 @@ from sklearn.pipeline import Pipeline
 from bugbug import bug_features, bugzilla, feature_cleanup, utils
 from bugbug.model import BugModel
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 
 class RegressionRangeModel(BugModel):

bugbug/models/regressor.py

@@ -4,8 +4,8 @@
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
 import itertools
+import logging
 from datetime import datetime
-from logging import INFO, basicConfig, getLogger
 
 import dateutil.parser
 import numpy as np
@@ -19,8 +19,8 @@ from sklearn.pipeline import Pipeline
 from bugbug import bugzilla, commit_features, db, feature_cleanup, repository, utils
 from bugbug.model import CommitModel
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 BUG_FIXING_COMMITS_DB = "data/bug_fixing_commits.json"
 db.register(

bugbug/models/spambug.py

@@ -3,7 +3,7 @@
 # License, v. 2.0. If a copy of the MPL was not distributed with this file,
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
-from logging import INFO, basicConfig, getLogger
+import logging
 
 import xgboost
 from imblearn.over_sampling import BorderlineSMOTE
@@ -14,8 +14,8 @@ from sklearn.pipeline import Pipeline
 from bugbug import bug_features, bugzilla, feature_cleanup, utils
 from bugbug.model import BugModel
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 
 class SpamBugModel(BugModel):

bugbug/models/stepstoreproduce.py

@@ -3,7 +3,7 @@
 # License, v. 2.0. If a copy of the MPL was not distributed with this file,
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
-from logging import INFO, basicConfig, getLogger
+import logging
 
 import xgboost
 from imblearn.under_sampling import RandomUnderSampler
@@ -14,8 +14,8 @@ from sklearn.pipeline import Pipeline
 from bugbug import bug_features, bugzilla, feature_cleanup, utils
 from bugbug.model import BugModel
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 
 class StepsToReproduceModel(BugModel):

bugbug/models/testfailure.py

@@ -3,7 +3,7 @@
 # License, v. 2.0. If a copy of the MPL was not distributed with this file,
 # You can obtain one at http://mozilla.org/MPL/2.0/.
 
-from logging import INFO, basicConfig, getLogger
+import logging
 
 import xgboost
 from imblearn.under_sampling import RandomUnderSampler
@@ -14,8 +14,8 @@ from sklearn.pipeline import Pipeline
 from bugbug import commit_features, repository, test_scheduling, utils
 from bugbug.model import CommitModel
 
-basicConfig(level=INFO)
-logger = getLogger(__name__)
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
 
 
 class TestFailureModel(CommitModel):