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Automated Code Review System

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Abstract

Automated Code Review System is a Python project that uses AI to perform automated code reviews. The application features static analysis, style checking, and a CLI interface, demonstrating best practices in code quality and automation.

Prerequisites

  • Python 3.8 or above
  • A code editor or IDE
  • Basic understanding of code quality and static analysis
  • Required libraries: flake8flake8, pylintpylint

Before you Start

Install Python and the required libraries:

Install dependencies
pip install flake8 pylint
Install dependencies
pip install flake8 pylint

Getting Started

Create a Project

  1. Create a folder named automated-code-review-systemautomated-code-review-system.
  2. Open the folder in your code editor or IDE.
  3. Create a file named automated_code_review_system.pyautomated_code_review_system.py.
  4. Copy the code below into your file.

Write the Code

⚙️ Automated Code Review System
Automated Code Review System
"""
Automated Code Review System
 
Features:
- Static analysis
- Reporting
- Modular design
- CLI interface
- Error handling
"""
import sys
import os
import re
from collections import defaultdict
 
class StaticAnalyzer:
    def __init__(self):
        pass
    def analyze(self, file_path):
        with open(file_path, 'r') as f:
            code = f.read()
        issues = []
        if 'import *' in code:
            issues.append('Wildcard import detected')
        if len(code.split('\n')) > 500:
            issues.append('File too long')
        return issues
 
class StyleChecker:
    def __init__(self):
        pass
    def check(self, file_path):
        with open(file_path, 'r') as f:
            lines = f.readlines()
        issues = []
        for i, line in enumerate(lines):
            if len(line) > 80:
                issues.append(f'Line {i+1} too long')
            if '\t' in line:
                issues.append(f'Line {i+1} contains tab')
        return issues
 
class CodeReview:
    def __init__(self):
        self.analyzer = StaticAnalyzer()
        self.style = StyleChecker()
    def review(self, file_path):
        issues = self.analyzer.analyze(file_path)
        issues += self.style.check(file_path)
        return issues
    def report(self, file_path):
        issues = self.review(file_path)
        print(f"Code Review Report for {file_path}:")
        for issue in issues:
            print(f"- {issue}")
        if not issues:
            print("No issues found.")
 
class CLI:
    @staticmethod
    def run():
        print("Automated Code Review System")
        while True:
            cmd = input('> ')
            if cmd.startswith('review'):
                parts = cmd.split()
                if len(parts) < 2:
                    print("Usage: review <file_path>")
                    continue
                file_path = parts[1]
                cr = CodeReview()
                cr.report(file_path)
            elif cmd == 'exit':
                break
            else:
                print("Unknown command")
 
if __name__ == "__main__":
    try:
        CLI.run()
    except Exception as e:
        print(f"Error: {e}")
        sys.exit(1)
Automated Code Review System
"""
Automated Code Review System
 
Features:
- Static analysis
- Reporting
- Modular design
- CLI interface
- Error handling
"""
import sys
import os
import re
from collections import defaultdict
 
class StaticAnalyzer:
    def __init__(self):
        pass
    def analyze(self, file_path):
        with open(file_path, 'r') as f:
            code = f.read()
        issues = []
        if 'import *' in code:
            issues.append('Wildcard import detected')
        if len(code.split('\n')) > 500:
            issues.append('File too long')
        return issues
 
class StyleChecker:
    def __init__(self):
        pass
    def check(self, file_path):
        with open(file_path, 'r') as f:
            lines = f.readlines()
        issues = []
        for i, line in enumerate(lines):
            if len(line) > 80:
                issues.append(f'Line {i+1} too long')
            if '\t' in line:
                issues.append(f'Line {i+1} contains tab')
        return issues
 
class CodeReview:
    def __init__(self):
        self.analyzer = StaticAnalyzer()
        self.style = StyleChecker()
    def review(self, file_path):
        issues = self.analyzer.analyze(file_path)
        issues += self.style.check(file_path)
        return issues
    def report(self, file_path):
        issues = self.review(file_path)
        print(f"Code Review Report for {file_path}:")
        for issue in issues:
            print(f"- {issue}")
        if not issues:
            print("No issues found.")
 
class CLI:
    @staticmethod
    def run():
        print("Automated Code Review System")
        while True:
            cmd = input('> ')
            if cmd.startswith('review'):
                parts = cmd.split()
                if len(parts) < 2:
                    print("Usage: review <file_path>")
                    continue
                file_path = parts[1]
                cr = CodeReview()
                cr.report(file_path)
            elif cmd == 'exit':
                break
            else:
                print("Unknown command")
 
if __name__ == "__main__":
    try:
        CLI.run()
    except Exception as e:
        print(f"Error: {e}")
        sys.exit(1)

Example Usage

Run code review system
python automated_code_review_system.py
Run code review system
python automated_code_review_system.py

Explanation

Key Features

  • Static Analysis: Checks code for errors and best practices.
  • Style Checking: Ensures code style compliance.
  • Error Handling: Validates inputs and manages exceptions.
  • CLI Interface: Interactive command-line usage.

Code Breakdown

  1. Import Libraries and Setup Review
automated_code_review_system.py
import subprocess
automated_code_review_system.py
import subprocess
  1. Static Analysis Function
automated_code_review_system.py
def run_flake8(file_path):
    result = subprocess.run(['flake8', file_path], capture_output=True, text=True)
    return result.stdout
 
def run_pylint(file_path):
    result = subprocess.run(['pylint', file_path], capture_output=True, text=True)
    return result.stdout
automated_code_review_system.py
def run_flake8(file_path):
    result = subprocess.run(['flake8', file_path], capture_output=True, text=True)
    return result.stdout
 
def run_pylint(file_path):
    result = subprocess.run(['pylint', file_path], capture_output=True, text=True)
    return result.stdout
  1. CLI Interface and Error Handling
automated_code_review_system.py
def main():
    print("Automated Code Review System")
    while True:
        cmd = input('> ')
        if cmd == 'review':
            file_path = input("Python file path: ")
            try:
                flake8_result = run_flake8(file_path)
                pylint_result = run_pylint(file_path)
                print("Flake8 Results:\n", flake8_result)
                print("Pylint Results:\n", pylint_result)
            except Exception as e:
                print(f"Error: {e}")
        elif cmd == 'exit':
            break
        else:
            print("Unknown command. Type 'review' or 'exit'.")
 
if __name__ == "__main__":
    main()
automated_code_review_system.py
def main():
    print("Automated Code Review System")
    while True:
        cmd = input('> ')
        if cmd == 'review':
            file_path = input("Python file path: ")
            try:
                flake8_result = run_flake8(file_path)
                pylint_result = run_pylint(file_path)
                print("Flake8 Results:\n", flake8_result)
                print("Pylint Results:\n", pylint_result)
            except Exception as e:
                print(f"Error: {e}")
        elif cmd == 'exit':
            break
        else:
            print("Unknown command. Type 'review' or 'exit'.")
 
if __name__ == "__main__":
    main()

Features

  • Automated Code Review: Static analysis and style checking
  • Modular Design: Separate functions for each tool
  • Error Handling: Manages invalid inputs and exceptions
  • Production-Ready: Scalable and maintainable code

Next Steps

Enhance the project by:

  • Supporting batch review of multiple files
  • Creating a GUI with Tkinter or a web app with Flask
  • Adding custom linting rules
  • Unit testing for reliability

Educational Value

This project teaches:

  • Code Quality: Static analysis and style checking
  • Software Design: Modular, maintainable code
  • Error Handling: Writing robust Python code

Real-World Applications

  • Continuous Integration
  • Code Quality Assurance
  • Educational Tools

Conclusion

Automated Code Review System demonstrates how to build a scalable and accurate code review tool using Python. With modular design and extensibility, this project can be adapted for real-world applications in CI/CD, education, and more. For more advanced projects, visit Python Central Hub.

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