代码测试

scanner/diff_parser.py

@@ -135,18 +135,15 @@ def merge_issues_with_code(scan_results: Dict[str, Any], diff: str) -> Dict[str,
 
 
 def convert_ai_reviews_to_issues(ai_result: Dict[str, Any], parser: Optional[DiffParser] = None) -> List[Dict[str, Any]]:
-    """将 AI 审查结果转换为问题格式"""
+    """将 AI 审查结果（issues 格式）转换为统一问题格式"""
     issues = []
+    ai_issues = ai_result.get('issues', [])
 
-    reviews = ai_result.get('reviews', [])
-    for review in reviews:
-        file_path = review.get('file', '')
-        review_data = review.get('review', {})
-
-        if not review_data:
+    for issue in ai_issues:
+        file_path = issue.get('file', '')
+        if not file_path:
             continue
 
-        # 获取文件内容作为代码上下文
         code_context = None
         if parser:
             matched_path = None
@@ -154,51 +151,28 @@ def convert_ai_reviews_to_issues(ai_result: Dict[str, Any], parser: Optional[Dif
                 if file_path.endswith(path) or path.endswith(file_path) or file_path in path:
                     matched_path = path
                     break
-
             if matched_path:
                 chunk = parser.get_file_content(matched_path)
                 if chunk and chunk.new_content:
                     lines = chunk.new_content.split('\n')[:10]
                     code_context = {
                         'file': matched_path,
-                        'line': 1,
+                        'line': issue.get('line', 1),
                         'preview': '\n'.join(lines),
                         'has_more': len(chunk.new_content.split('\n')) > 10
                     }
 
-        # 处理优点（不作为问题显示）
-        advantages = review_data.get('优点', [])
-        # 处理问题
-        problems = review_data.get('问题', [])
-        for idx, problem in enumerate(problems):
-            issues.append({
-                'file': file_path,
-                'line': 1,  # AI 审查不返回具体行号
-                'severity': 'warning',
-                'message': f'[AI 建议] {problem}',
-                'category': 'ai',
-                'code_context': code_context,
-                'review_data': {
-                    'type': '问题',
-                    'content': problem
-                }
-            })
-
-        # 处理优化建议
-        optimizations = review_data.get('优化', [])
-        for optimization in optimizations:
-            issues.append({
-                'file': file_path,
-                'line': 1,
-                'severity': 'info',
-                'message': f'[AI 优化] {optimization}',
-                'category': 'ai',
-                'code_context': code_context,
-                'review_data': {
-                    'type': '优化',
-                    'content': optimization
-                }
-            })
+        sev = issue.get('severity', 'warning')
+        sev = sev.lower() if isinstance(sev, str) else 'warning'
+        issues.append({
+            'file': file_path,
+            'line': issue.get('line', 1),
+            'severity': sev,
+            'message': issue.get('message', ''),
+            'category': 'ai',
+            'code_context': code_context,
+            'defect_reason': issue.get('defect_reason', '')
+        })
 
     return issues