101 lines
4.4 KiB
Python
101 lines
4.4 KiB
Python
import lizard
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import os
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import zipfile
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from pathlib import Path
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def analyze_code_directory(file_path):
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results = {
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'comment_rate': 0.0, # 注释率-手动
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'total_lines': 0, # 总函数
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'effective_lines': 0, # 有效代码行数
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'avg_function_lines': 0, # 平均模块行数
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'avg_cyclomatic': 0, # 平均圈复杂度
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'avg_fan_out': 0, # 平均扇出
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'function_count': 0 # 函数个数
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}
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total_comments = 0
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total_blanks = 0
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total_lines = 0
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total_effective = 0
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functions = []
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for root, _, files in os.walk(file_path):
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for file in files:
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if file.endswith(('.c', '.cpp', '.h', '.hpp', '.cc', '.cxx')):
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filepath = os.path.join(root, file)
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# 使用 lizard 分析代码结构
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analysis = lizard.analyze_file(filepath)
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functions.extend(analysis.function_list)
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# 使用 lizard 的有效代码行数统计
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total_effective += analysis.nloc
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# 手动统计注释行数（新方法）
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with open(filepath, 'r', encoding='utf-8', errors='ignore') as f:
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content = f.readlines()
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total_comments += sum(
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1 for line in content if line.strip().startswith(('//', '/*', '*')) or '*/' in line)
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total_blanks += sum(1 for line in content if not line.strip())
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# 计算函数相关指标
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if functions:
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cyclomatic_list = [f.cyclomatic_complexity for f in functions]
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high_cyclo = sum(1 for c in cyclomatic_list if c >= 20)
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# 输出的指标
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results['function_count'] = len(functions) # 模块数量
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results['avg_function_lines'] = sum(f.length for f in functions) / len(functions) # 平均规模
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results['avg_cyclomatic'] = sum(f.cyclomatic_complexity for f in functions) / len(functions) # 平均圈复杂
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results['avg_fan_out'] = sum(f.fan_out for f in functions) / len(functions) # 平均扇出
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results['max_cyclomatic'] = max(cyclomatic_list) # 模块最大圈复杂度
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results['high_cyclomatic_ratio'] = high_cyclo / len(functions) * 100 # 圈复杂度>20比例
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total_lines = sum(f.length for f in functions)
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# 计算全局指标 - 输出
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if total_lines > 0:
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results['comment_lines'] = total_comments if total_comments > 0 else 0
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results['comment_rate'] = total_comments / total_lines * 100 if total_comments > 0 else 0
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results['total_lines'] = total_lines
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results['effective_lines'] = total_effective
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results['total_blanks'] = total_blanks
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results['code_ratio'] = total_effective / total_lines if total_lines > 0 else 0
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return results
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# 解压zip文件方法
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def extract_and_get_paths(zip_path: str,
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extract_to: str = 'unzipped_files') -> str:
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"""
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解压ZIP文件并返回目标扩展名文件的绝对路径列表
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参数:
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zip_path: ZIP文件路径
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extract_to: 解压目录(默认'unzipped_files')
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target_extensions: 目标文件扩展名(默认('.c', '.h'))
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返回:
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匹配文件的绝对路径列表
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"""
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# 创建解压目录(如果不存在)
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if extract_to is None:
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extract_to = os.path.join(os.getcwd(), f"unzip_temp_{os.urandom(4).hex()}")
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os.makedirs(extract_to, exist_ok=True)
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try:
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with zipfile.ZipFile(zip_path, 'r') as zip_ref:
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zip_ref.extractall(extract_to)
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return os.path.abspath(extract_to)
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except zipfile.BadZipFile:
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raise ValueError(f"无效的ZIP文件: {zip_path}")
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except Exception as e:
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raise RuntimeError(f"解压失败: {str(e)}")
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# 使用示例
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if __name__ == "__main__":
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path = Path("../Cpro/")
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if not path.is_dir():
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print("错误: 路径不存在或不是目录")
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else:
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stats = analyze_code_directory(path)
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print("\n代码分析结果:")
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print(f"1. 注释率: {stats['comment_rate']:.2f}%")
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print(
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f"2. 有效代码行数/总行数: {stats['total_lines']}/{stats['effective_lines']} (比例: {stats['code_ratio']:.2f})")
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print(f"3. 函数数量: {stats['function_count']}")
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print(f"4. 函数平均行数: {stats['avg_function_lines']:.1f}")
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print(f"5. 函数平均圈复杂度: {stats['avg_cyclomatic']:.1f}")
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print(f"6. 函数平均扇出数: {stats['avg_fan_out']:.1f}")
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