1. First, create a utils directory for helper modules:

# In your project rootmkdir scripts/utils

1. Place the logger in the appropriate location:

# Save the logger code asscripts/utils/preprocessing_logger.py

1. Updated project structure:

LEGALTEXTANALYSIS/
├── data/
│   ├── legal_text_classification.csv
│   └── legal_text.db
├── docs/
│   └── report001/
├── notebooks/
│   ├── data_analysis_and_feature_optimization.ipynb
│   ├── feature_engineering.ipynb
│   └── initial_data_exploration.ipynb
├── scripts/
│   ├── utils/
│   │   └── preprocessing_logger.py    # New location
│   ├── create_tables.sql
│   └── import_data.py
└── requirements.txt

1. Modify the initial_data_exploration.ipynb to use the logger:

# At the top of your notebookimport sys
sys.path.append('../scripts/utils')
from preprocessing_logger import PreprocessingLogger
# Initialize loggerlogger = PreprocessingLogger(log_dir='../logs')
# Use in your preprocessing stepstry:
    logger.log_preprocessing_step(
        "initial_exploration",
        "all_cases",
        {"total_cases": len(df), "unique_outcomes": df['case_outcome'].nunique()}
    )
except Exception as e:
    logger.log_error(e)

This structure:

• Keeps utility code separate from notebooks
• Maintains proper Python module organization
• Makes the logger accessible to all notebooks
• Creates logs in a dedicated directory