add web

scanner/diff_parser.py

@@ -94,10 +94,8 @@ class DiffParser:
 
 def merge_issues_with_code(scan_results: Dict[str, Any], diff: str) -> Dict[str, Any]:
     """将扫描问题与代码片段关联"""
-    if not diff:
-        return scan_results
+    parser = DiffParser(diff) if diff else None
 
-    parser = DiffParser(diff)
     enriched_results = {
         'scanners': [],
         'summary': scan_results.get('summary', {}),
@@ -118,17 +116,93 @@ def merge_issues_with_code(scan_results: Dict[str, Any], diff: str) -> Dict[str,
 
             issues = scanner_data.get('issues', [])
             for issue in issues:
-                enriched_issue = enrich_issue_with_code(issue, parser)
+                enriched_issue = enrich_issue_with_code(issue, parser) if parser else issue
                 enriched_scanner['issues'].append(enriched_issue)
 
             enriched_results['scanners'].append(enriched_scanner)
 
+    # 处理 AI 审查结果，转换为问题格式
     if 'ai' in scan_results:
-        enriched_results['ai'] = scan_results['ai']
+        ai_issues = convert_ai_reviews_to_issues(scan_results['ai'], parser)
+        enriched_results['ai'] = {
+            'name': 'ai',
+            'issues': ai_issues,
+            'summary': scan_results['ai'].get('summary', ''),
+            'files_reviewed': scan_results['ai'].get('files_reviewed', 0)
+        }
 
     return enriched_results
 
 
+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"""
+    issues = []
+
+    reviews = ai_result.get('reviews', [])
+    for review in reviews:
+        file_path = review.get('file', '')
+        review_data = review.get('review', {})
+
+        if not review_data:
+            continue
+
+        # 获取文件内容作为代码上下文
+        code_context = None
+        if parser:
+            matched_path = None
+            for path in parser.files.keys():
+                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,
+                        '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
+                }
+            })
+
+    return issues
+
+
 def enrich_issue_with_code(issue: Dict[str, Any], parser: DiffParser) -> Dict[str, Any]:
     """为单个问题添加代码片段"""
     enriched = issue.copy()