pybughunt 0.1.1

A Python library for detecting logical and syntactical errors in Python code

Code Error Detector

A Python library for detecting logical and syntactical errors in Python code.

Features

• Syntax error detection and analysis
• Logical error detection using pattern-based and machine learning approaches
• Command-line interface for analyzing Python files
• Training capabilities for custom error detection models

Installation

# Install from source
git clone https://github.com/Preksha-7/pybughunt.git
cd pybughunt
pip install -e .

Usage

Command Line

# Analyze Python files
pybughunt analyze file1.py file2.py

# Analyze with custom model
pybughunt analyze file1.py --model path/to/model.pkl

# Output in JSON format
pybughunt analyze file1.py --format json --output results.json

# Train a new model
pybughunt train --dataset path/to/dataset --output path/to/model.pkl

Python API

from pybughunt import CodeErrorDetector

# Initialize the detector
detector = CodeErrorDetector()

# Analyze code
code = '''
def example():
    print("Hello, world!"
'''
results = detector.analyze(code)

# Get fix suggestions
if results["syntax_errors"] or results["logic_errors"]:
    errors = results["syntax_errors"] + results["logic_errors"]
    suggestions = detector.fix_suggestions(code, results)
    for error_key, suggestion in suggestions.items():
        print(f"Suggestion for {error_key}: {suggestion}")

Supported Error Types

Syntax Errors

• Missing parentheses, brackets, or braces
• Indentation errors
• Invalid syntax
• Unterminated string literals

Logical Errors

• Infinite loops (while True without break)
• Unused variables
• Potential off-by-one errors
• Division by zero
• Unreachable code

License

MIT