Automated Code Review System

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: flake8, pylint

Before you Start

Install Python and the required libraries:

Install dependencies

pip install flake8 pylint

Getting Started

Create a Project

Create a folder named automated-code-review-system.
Open the folder in your code editor or IDE.
Create a file named automated_code_review_system.py.
Copy the code below into your file.

Write the Code

Automated Code Review System

pch.viewSource

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

How it fits together

Read from the top: this is what runs when you execute the file, and which function calls which. It is generated from the code, so it cannot drift from it.

diagram Diagram mermaid

  flowchart TD
  RUN(["python automated_code_review_system.py"])
  StaticAnalyzer["StaticAnalyzer
class"]
  StyleChecker["StyleChecker
class"]
  CodeReview["CodeReview
class"]
  CLI["CLI
class"]
  RUN --> StaticAnalyzer
  CLI --> CodeReview
  CodeReview --> StaticAnalyzer
  CodeReview --> StyleChecker

Explanation