Python Code Smell Detector

Detects Long Method, Long Parameter List, and Large Class code smells in Python files in real-time using a trained Random Forest classifier.

What it does

• Underlines the function or class name in yellow when a smell is detected
• Hover over the underline to see the smell type, metric value, and confidence score
• Click "Show Refactoring Example" in the tooltip to open a side-by-side unsaved Python file with before/after refactoring examples specific to that smell
• A lightbulb code action also appears on flagged lines
• Runs automatically on file save

Setup (required before first use)

1 — Install Python dependencies

pip install joblib pandas numpy scikit-learn

2 — Place your data files

After installing the extension, navigate to its python/ folder (see README_DATA.txt inside that folder for the exact path on your OS) and place the following files there:

LongMethod_YesNo.csv
LongParameterList_YesNo.csv
LargeClass_cohesion_YesNo.csv

Optionally also place pre-trained model files to skip first-run training:

longmethod_lrfs_rf_model.joblib
longparameterlist_lrfs_rf_model.joblib
largeclass_lrfs_rf_model.joblib

3 — Configure Python path if needed

Open Settings (Ctrl+,) and search for Code Smell Detector. Set codeSmellDetector.pythonPath to your Python executable if python is not on your PATH.

Settings