1  # Copyright (c) 2024-2026 Tencent Zhuque Lab. All rights reserved.
 2  #
 3  # Licensed under the Apache License, Version 2.0 (the "License");
 4  # you may not use this file except in compliance with the License.
 5  # You may obtain a copy of the License at
 6  #
 7  #     http://www.apache.org/licenses/LICENSE-2.0
 8  #
 9  # Unless required by applicable law or agreed to in writing, software
10  # distributed under the License is distributed on an "AS IS" BASIS,
11  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12  # See the License for the specific language governing permissions and
13  # limitations under the License.
14  #
15  # Requirement: Any integration or derivative work must explicitly attribute
16  # Tencent Zhuque Lab (https://github.com/Tencent/AI-Infra-Guard) in its
17  # documentation or user interface, as detailed in the NOTICE file.
18  
19  import random
20  from deepteam.attacks import BaseAttack
21  from deepteam.attacks.single_turn.stratasword.template import (
22      StrataSwordTemplate,
23  )
24  
25  from deepteam.utils import judge_language
26  
27  class Opposing(BaseAttack):
28  
29      def __init__(self, weight: int = 1):
30          self.weight = weight
31  
32      def enhance(self, attack: str) -> str:
33          if judge_language(attack) == "chinese":
34              enhancement_methods = [
35                  StrataSwordTemplate.generate_opposing_1_zh, 
36                  StrataSwordTemplate.generate_opposing_2_zh,
37                  StrataSwordTemplate.generate_opposing_3_zh
38              ]
39          else:
40              enhancement_methods = [
41                  StrataSwordTemplate.generate_opposing_1_en, 
42                  StrataSwordTemplate.generate_opposing_2_en,
43                  StrataSwordTemplate.generate_opposing_3_en
44              ]
45          
46          method = random.choice(enhancement_methods)
47          prompt = method(attack)
48          return prompt