v2.3.0 all checks passed

src/datafog/__init__.py

@@ -1,5 +1,6 @@
 # datafog-python/src/datafog/__init__.py
 import json
+import logging
 
 import pandas as pd
 import requests
@@ -8,6 +9,8 @@
 from .__about__ import __version__
 from .pii_tools import PresidioEngine
 
+logger = logging.getLogger(__name__).setLevel(logging.ERROR)
+
 __all__ = [
     "__version__",
     "PresidioEngine",

src/datafog/pii_tools/PresidioEngine/__init__.py

@@ -1,11 +1,19 @@
-from presidio_analyzer import AnalyzerEngine, RecognizerRegistry, RecognizerResult, PatternRecognizer, Pattern
-from presidio_analyzer.nlp_engine import NlpEngineProvider
-from typing import List, Optional, Tuple
 import logging
+from typing import List, Optional
+
+from presidio_analyzer import (
+    AnalyzerEngine,
+    Pattern,
+    PatternRecognizer,
+    RecognizerRegistry,
+)
+from presidio_analyzer.nlp_engine import NlpEngineProvider
+
 from .analyzer import CustomSpacyRecognizer
 
 logger = logging.getLogger("presidio-engine-init").setLevel(logging.ERROR)
 
+
 # Helper methods
 def create_ad_hoc_deny_list_recognizer(
     deny_list=Optional[List[str]],
@@ -30,6 +38,7 @@ def create_ad_hoc_regex_recognizer(
     )
     return regex_recognizer
 
+
 def analyzer_engine():
     """Return AnalyzerEngine."""
 
@@ -55,7 +64,6 @@ def analyzer_engine():
             "low_score_entity_names": ["ORG", "ORGANIZATION"],
             "labels_to_ignore": ["DATE_TIME"],
         },
-
     }
 
     # Create NLP engine based on configuration

src/datafog/pii_tools/PresidioEngine/analyzer.py

@@ -6,7 +6,6 @@
 logger = logging.getLogger("custom-spacy-recognizer").setLevel(logging.ERROR)
 
 
-
 class CustomSpacyRecognizer(LocalRecognizer):
     ENTITIES = [
         "LOCATION",