生成代码的License合规：SCA对AI代码的溯源与风险标记

# AI生成的代码
def quicksort(arr):
    if len(arr) <= 1:
        return arr
    pivot = arr[len(arr) // 2]
    left = [x for x in arr if x < pivot]
    middle = [x for x in arr if x == pivot]
    right = [x for x in arr if x > pivot]
    return quicksort(left) + middle + quicksort(right)

# AI生成的代码，基于GPL代码训练
def complex_algorithm(data):
    # 实现逻辑...
    pass

# AI生成的代码混合了多个License的代码片段
# 片段A：MIT License
# 片段B：Apache 2.0
# 片段C：GPL v3

class AICodeTracer:
    def trace_origin(self, generated_code):
        """
        追溯AI生成代码的潜在来源
        """
        # 1. 生成代码指纹
        fingerprint = self.generate_fingerprint(generated_code)
        
        # 2. 与开源代码库比对
        matches = self.match_against_opensource(fingerprint)
        
        # 3. 相似度分析
        similar_snippets = []
        for match in matches:
            similarity = self.calculate_similarity(
                generated_code, 
                match.source_code
            )
            if similarity > 0.7:  # 70%相似度阈值
                similar_snippets.append({
                    'source': match.repository,
                    'license': match.license,
                    'similarity': similarity,
                    'matched_lines': match.lines
                })
        
        return similar_snippets
    
    def generate_fingerprint(self, code):
        """
        生成代码指纹（AST + 语义特征）
        """
        # 语法树特征
        ast_features = self.extract_ast_features(code)
        
        # 语义特征
        semantic_features = self.extract_semantic_features(code)
        
        # 组合指纹
        return {
            'ast_hash': ast_features,
            'semantic_hash': semantic_features,
            'ngram_signature': self.ngram_signature(code)
        }

class LicenseRiskMarker:
    def mark_risk(self, code_analysis):
        """
        标记代码的License风险
        """
        markers = []
        
        for finding in code_analysis.findings:
            if finding.license in ['GPL-2.0', 'GPL-3.0', 'AGPL-3.0']:
                markers.append({
                    'level': 'CRITICAL',
                    'type': 'COPYLEFT_RISK',
                    'message': 'Copyleft License可能导致衍生作品需开源',
                    'action': 'REVIEW_REQUIRED'
                })
            
            elif finding.license in ['LGPL-2.1', 'LGPL-3.0']:
                markers.append({
                    'level': 'HIGH',
                    'type': 'WEAK_COPYLEFT',
                    'message': '弱Copyleft License，修改需开源',
                    'action': 'REVIEW_REQUIRED'
                })
            
            elif finding.similarity > 0.9:
                markers.append({
                    'level': 'MEDIUM',
                    'type': 'HIGH_SIMILARITY',
                    'message': '代码相似度极高，可能存在抄袭风险',
                    'action': 'DOCUMENTATION_REQUIRED'
                })
        
        return markers

# 开发者正在查看AI生成的代码
def process_data(data):
    # ⚠️ LICENSE RISK: HIGH
    # 检测到与GPL-3.0代码92%相似
    # 建议：重写此函数或开源项目
    # 详情：点击查看溯源报告
    ...