diff --git a/flask_app/general/无效标和废标公共代码.py b/flask_app/general/无效标和废标公共代码.py
index 69624b4..30d53f1 100644
--- a/flask_app/general/无效标和废标公共代码.py
+++ b/flask_app/general/无效标和废标公共代码.py
@@ -149,22 +149,35 @@ def extract_text_with_keywords(doc_path, keywords, follow_up_keywords):
                     parts = current_section_number.split('.')
                     matched_patterns = [pattern]  # start with the full pattern
 
-                    # Next section at same level
-                    parts[-1] = str(int(parts[-1]) + 1)
-                    # next_pattern = r'^' + r'\.\s*'.join(parts)  #11.12以前版本
-                    next_pattern = r'^' + r'\s*[.．]\s*'.join(parts)
-                    matched_patterns.append(next_pattern)
+                    # for i in range(1, 6):     #同级，与matched_patterns = [pattern]重复了，故注释
+                    #     # 复制 parts 列表以避免修改原列表
+                    #     new_parts = parts.copy()
+                    #     new_parts[-1] = str(int(new_parts[-1]) + i)
+                    #     # 使用不同的分隔符
+                    #     next_pattern = r'^' + r'\s*[.．]\s*'.join(new_parts)
+                    #     matched_patterns.append(next_pattern)
 
                     # Parent section (if applicable)
                     if len(parts) > 1:
-                        parent_section_parts = parts[:-1]
-                        parent_section_parts[-1] = str(int(parent_section_parts[-1]) + 1)
-                        parent_pattern = r'^' + r'\s*[.．]\s*'.join(parent_section_parts)
-                        matched_patterns.append(parent_pattern)
+                        for i in range(1, 6):  #考虑原文档的书写不规范，跳序号的情况，目前设置了范围<5
+                            parent_section_parts = parts[:-1].copy()
+                            parent_section_parts[-1] = str(int(parent_section_parts[-1]) + i)
+                            parent_pattern = r'^' + r'\s*[.．]\s*'.join(parent_section_parts)
+                            matched_patterns.append(parent_pattern)
 
                     # 添加对 '数字 、' 格式的支持
                     digit_comma_pattern = r'^\d+\s*、'
                     matched_patterns.append(digit_comma_pattern)
+
+                    # 获取当前顶级章节编号
+                    current_top_level_num = int(current_section_number.split('.')[0])
+                    for i in range(1, 6):
+                        next_top_level_num = current_top_level_num + i
+                        next_top_level_pattern = r'^' + str(next_top_level_num) + r'\s*[.．]'
+                        # 检查是否已经包含了该模式，避免重复
+                        if next_top_level_pattern not in matched_patterns:
+                            matched_patterns.append(next_top_level_pattern)
+
                     # Combine the patterns
                     combined_pattern = r'(' + r')|('.join(matched_patterns) + r')'
                     current_section_pattern = re.compile(combined_pattern)
diff --git a/flask_app/main/禁止投标情形.py b/flask_app/main/禁止投标情形.py
index b7cdf04..5088bdf 100644
--- a/flask_app/main/禁止投标情形.py
+++ b/flask_app/main/禁止投标情形.py
@@ -151,9 +151,10 @@ def find_forbidden(qualification=""):
         actual_list = process_string_list(qianwen_forbidden_str)  # 提取出字符串列表 ["xxx","xx"]
         includes = ["不得存在", "不得与", "禁止投标", "对投标人的纪律"]
         excludes = ["招标", "评标", "定标"]
-        forbidden_results = extract_and_format_from_paths([truncate_json_path, clause_path], includes, excludes)
-        processed_results = extract_unique_items_from_texts(forbidden_results)
-        merged_forbidden_list = list(dict.fromkeys(actual_list + processed_results))
+        # forbidden_results = extract_and_format_from_paths([truncate_json_path, clause_path], includes, excludes)
+        # processed_results = extract_unique_items_from_texts(forbidden_results)
+        # merged_forbidden_list = list(dict.fromkeys(actual_list + processed_results))
+        merged_forbidden_list = list(dict.fromkeys(actual_list))
         forbidden_dict = {'不得存在的其他情形': merged_forbidden_list}
         return forbidden_dict
     except Exception as e:
@@ -162,10 +163,10 @@ def find_forbidden(qualification=""):
 
 #TODO:不得存在的情况文中有很多内容,货物标中采用了全文搜索的逻辑。
 if __name__ == '__main__':
-    truncate_json_path = "C:\\Users\\Administrator\\Desktop\\fsdownload\\006decc2-b3b5-4898-9b9f-4b0eab4e173f\\truncate_output.json"
-    clause_path = "C:\\Users\\Administrator\\Desktop\\fsdownload\\006decc2-b3b5-4898-9b9f-4b0eab4e173f\\clause1.json"
+    # truncate_json_path = "C:\\Users\\Administrator\\Desktop\\fsdownload\\006decc2-b3b5-4898-9b9f-4b0eab4e173f\\truncate_output.json"
+    # clause_path = "C:\\Users\\Administrator\\Desktop\\fsdownload\\006decc2-b3b5-4898-9b9f-4b0eab4e173f\\clause1.json"
     qualification = "C:\\Users\\Administrator\\Desktop\\fsdownload\\006decc2-b3b5-4898-9b9f-4b0eab4e173f\\ztbfile_qualification.pdf"
     output_dir = "C:\\Users\\Administrator\\Desktop\\fsdownload\\006decc2-b3b5-4898-9b9f-4b0eab4e173f"
     doc_path = 'C:\\Users\\Administrator\\Desktop\\fsdownload\\006decc2-b3b5-4898-9b9f-4b0eab4e173f\\ztbfile.docx'
-    res = find_forbidden(truncate_json_path, clause_path, qualification)
+    res = find_forbidden(qualification)
     print(json.dumps(res, ensure_ascii=False, indent=4))
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