feat: refactor API key configuration and enhance application initialization
- Renamed `check_environment` to `check_api_key_configured` for clarity, simplifying the API key validation logic. - Removed the blocking behavior of the API key check during application startup, allowing the app to run while providing a prompt for configuration. - Updated `LocalAgentApp` to accept an `api_configured` parameter, enabling conditional messaging for API key setup. - Enhanced the `SandboxRunner` to support backup management and improved execution result handling with detailed metrics. - Integrated data governance strategies into the `HistoryManager`, ensuring compliance and improved data management. - Added privacy settings and metrics tracking across various components to enhance user experience and application safety.
This commit is contained in:
Mimikko-zeus
570
tests/test_security_regression.py
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570
tests/test_security_regression.py
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@@ -0,0 +1,570 @@
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"""
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安全回归测试矩阵
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专注于安全相关的回归场景
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"""
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import unittest
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import sys
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import tempfile
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import shutil
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from pathlib import Path
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from unittest.mock import Mock, patch, MagicMock
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# 添加项目根目录到路径
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from safety.rule_checker import RuleChecker, RuleCheckResult
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from safety.llm_reviewer import LLMReviewer, LLMReviewResult
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from history.manager import HistoryManager
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from intent.labels import EXECUTION
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class TestSecurityRegressionMatrix(unittest.TestCase):
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"""
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安全回归测试矩阵
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覆盖所有已知的安全风险场景
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"""
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def setUp(self):
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"""创建测试环境"""
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self.checker = RuleChecker()
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# ========== 硬性禁止回归测试 ==========
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def test_regression_network_operations(self):
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"""回归测试：网络操作必须被拦截"""
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test_cases = [
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("import socket\ns = socket.socket()", "socket模块"),
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("import requests\nrequests.get('http://example.com')", "requests模块"),
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("import urllib\nurllib.request.urlopen('http://example.com')", "urllib模块"),
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("import http.client\nconn = http.client.HTTPConnection('example.com')", "http.client模块"),
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]
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for code, description in test_cases:
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with self.subTest(description=description):
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result = self.checker.check(code)
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# requests 是警告，其他是硬性拦截
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if 'requests' in code:
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self.assertTrue(result.passed, f"{description}应该通过但产生警告")
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self.assertTrue(len(result.warnings) > 0, f"{description}应该产生警告")
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else:
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self.assertFalse(result.passed, f"{description}必须被拦截")
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def test_regression_command_execution(self):
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"""回归测试：命令执行必须被拦截"""
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test_cases = [
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("import subprocess\nsubprocess.run(['ls'])", "subprocess.run"),
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("import subprocess\nsubprocess.Popen(['dir'])", "subprocess.Popen"),
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("import subprocess\nsubprocess.call(['echo', 'test'])", "subprocess.call"),
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("import os\nos.system('dir')", "os.system"),
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("import os\nos.popen('ls')", "os.popen"),
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("eval('1+1')", "eval函数"),
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("exec('print(1)')", "exec函数"),
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("__import__('os').system('ls')", "__import__动态导入"),
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]
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for code, description in test_cases:
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with self.subTest(description=description):
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result = self.checker.check(code)
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self.assertFalse(result.passed, f"{description}必须被拦截")
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self.assertTrue(len(result.violations) > 0, f"{description}必须产生违规记录")
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def test_regression_file_system_warnings(self):
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"""回归测试：危险文件操作产生警告"""
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test_cases = [
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("import os\nos.remove('file.txt')", "os.remove"),
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("import os\nos.unlink('file.txt')", "os.unlink"),
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("import shutil\nshutil.rmtree('folder')", "shutil.rmtree"),
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("from pathlib import Path\nPath('file.txt').unlink()", "Path.unlink"),
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]
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for code, description in test_cases:
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with self.subTest(description=description):
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result = self.checker.check(code)
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self.assertTrue(result.passed, f"{description}应该通过检查")
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self.assertTrue(len(result.warnings) > 0, f"{description}应该产生警告")
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def test_regression_safe_operations(self):
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"""回归测试：安全操作不应被误拦截"""
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safe_codes = [
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# 文件复制
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"""
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import shutil
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from pathlib import Path
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INPUT_DIR = Path('workspace/input')
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OUTPUT_DIR = Path('workspace/output')
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for f in INPUT_DIR.glob('*.txt'):
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shutil.copy(f, OUTPUT_DIR / f.name)
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""",
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# 图片处理
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"""
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from PIL import Image
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from pathlib import Path
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INPUT_DIR = Path('workspace/input')
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OUTPUT_DIR = Path('workspace/output')
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for img_path in INPUT_DIR.glob('*.png'):
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img = Image.open(img_path)
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img = img.resize((100, 100))
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img.save(OUTPUT_DIR / img_path.name)
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""",
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# Excel处理
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"""
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import openpyxl
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from pathlib import Path
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INPUT_DIR = Path('workspace/input')
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OUTPUT_DIR = Path('workspace/output')
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for xlsx_path in INPUT_DIR.glob('*.xlsx'):
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wb = openpyxl.load_workbook(xlsx_path)
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ws = wb.active
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ws['A1'] = 'Modified'
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wb.save(OUTPUT_DIR / xlsx_path.name)
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""",
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# JSON处理
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"""
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import json
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from pathlib import Path
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INPUT_DIR = Path('workspace/input')
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OUTPUT_DIR = Path('workspace/output')
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for json_path in INPUT_DIR.glob('*.json'):
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with open(json_path, 'r', encoding='utf-8') as f:
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data = json.load(f)
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data['processed'] = True
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with open(OUTPUT_DIR / json_path.name, 'w', encoding='utf-8') as f:
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json.dump(data, f, ensure_ascii=False, indent=2)
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""",
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]
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for i, code in enumerate(safe_codes):
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with self.subTest(case=f"安全代码{i+1}"):
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result = self.checker.check(code)
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self.assertTrue(result.passed, f"安全代码{i+1}不应被拦截")
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self.assertEqual(len(result.violations), 0, f"安全代码{i+1}不应有违规")
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class TestLLMReviewerRegression(unittest.TestCase):
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"""
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LLM审查器回归测试
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验证软规则审查的稳定性
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"""
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def setUp(self):
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"""创建测试环境"""
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self.reviewer = LLMReviewer()
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def test_llm_review_response_parsing(self):
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"""测试：LLM响应解析的鲁棒性"""
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test_cases = [
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# 标准JSON格式
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('{"pass": true, "reason": "代码安全"}', True),
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('{"pass": false, "reason": "存在风险"}', False),
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# 带代码块的JSON
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('```json\n{"pass": true, "reason": "安全"}\n```', True),
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('```\n{"pass": false, "reason": "危险"}\n```', False),
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# 带前缀文本
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('分析结果如下：{"pass": true, "reason": "通过"}', True),
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# 字符串形式的布尔值
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('{"pass": "true", "reason": "安全"}', True),
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('{"pass": "false", "reason": "危险"}', False),
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# 无效JSON（应该保守判定为不通过）
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('这不是JSON', False),
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('{"incomplete": true', False),
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]
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for response, expected_pass in test_cases:
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with self.subTest(response=response[:30]):
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result = self.reviewer._parse_response(response)
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self.assertEqual(result.passed, expected_pass,
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f"响应 '{response[:30]}...' 解析错误")
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@patch('llm.client.get_client')
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def test_llm_review_failure_handling(self, mock_get_client):
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"""测试：LLM调用失败时的降级处理"""
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# Mock LLM客户端抛出异常
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mock_client = MagicMock()
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mock_client.chat.side_effect = Exception("API调用失败")
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mock_get_client.return_value = mock_client
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# 执行审查
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result = self.reviewer.review(
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user_input="测试任务",
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execution_plan="测试计划",
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code="print('test')",
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warnings=[]
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)
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# 验证：失败时应保守判定为不通过
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self.assertFalse(result.passed, "LLM调用失败时应拒绝执行")
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self.assertIn("失败", result.reason, "应包含失败原因")
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@patch('llm.client.get_client')
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def test_llm_review_with_warnings(self, mock_get_client):
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"""测试：带警告的LLM审查"""
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# Mock LLM客户端
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mock_client = MagicMock()
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mock_client.chat.return_value = '{"pass": true, "reason": "警告已审查，风险可控"}'
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mock_get_client.return_value = mock_client
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# 执行审查（带警告）
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warnings = ["使用了 os.remove", "使用了 requests"]
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result = self.reviewer.review(
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user_input="删除文件并上传",
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execution_plan="删除本地文件后上传到服务器",
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code="import os\nimport requests\nos.remove('file.txt')\nrequests.post('http://api.example.com')",
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warnings=warnings
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)
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# 验证：调用参数应包含警告信息
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call_args = mock_client.chat.call_args
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messages = call_args[1]['messages']
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user_message = messages[1]['content']
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self.assertIn("静态检查警告", user_message, "应传递警告信息给LLM")
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self.assertIn("os.remove", user_message, "应包含具体警告内容")
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class TestHistoryReuseSecurityRegression(unittest.TestCase):
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"""
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历史复用安全回归测试
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确保复用流程不会绕过安全检查
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"""
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def setUp(self):
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"""创建测试环境"""
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self.temp_dir = Path(tempfile.mkdtemp())
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self.history = HistoryManager(self.temp_dir)
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self.checker = RuleChecker()
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def tearDown(self):
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"""清理测试环境"""
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shutil.rmtree(self.temp_dir, ignore_errors=True)
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def test_reuse_security_bypass_prevention(self):
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"""测试：防止通过复用绕过安全检查"""
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# 场景：历史记录中存在一个"曾经通过"但现在应该被拦截的代码
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# 1. 添加历史记录（模拟旧版本允许的代码）
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old_dangerous_code = """
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import socket
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# 旧版本可能允许的网络操作
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s = socket.socket()
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"""
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self.history.add_record(
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task_id="old_task_001",
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user_input="建立网络连接",
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intent_label=EXECUTION,
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intent_confidence=0.9,
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execution_plan="创建socket连接",
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code=old_dangerous_code,
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success=True, # 历史上标记为成功
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duration_ms=100
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)
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# 2. 尝试复用
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result = self.history.find_similar_success("创建网络连接", return_details=True)
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self.assertIsNotNone(result)
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similar_record, _, _ = result
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# 3. 强制安全复检（关键步骤）
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recheck_result = self.checker.check(similar_record.code)
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# 4. 验证：必须被当前规则拦截
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self.assertFalse(recheck_result.passed,
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"历史代码复用时必须被当前安全规则拦截")
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self.assertTrue(any('socket' in v for v in recheck_result.violations),
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"必须检测到socket违规")
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def test_reuse_with_modified_dangerous_code(self):
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"""测试：复用后修改为危险代码的检测"""
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# 1. 添加安全的历史记录
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safe_code = """
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import shutil
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from pathlib import Path
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INPUT_DIR = Path('workspace/input')
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OUTPUT_DIR = Path('workspace/output')
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for f in INPUT_DIR.glob('*.txt'):
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shutil.copy(f, OUTPUT_DIR / f.name)
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"""
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self.history.add_record(
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task_id="safe_task_001",
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user_input="复制文件",
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intent_label=EXECUTION,
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intent_confidence=0.95,
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execution_plan="复制txt文件",
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code=safe_code,
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success=True,
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duration_ms=100
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)
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# 2. 模拟用户修改代码（添加危险操作）
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modified_dangerous_code = safe_code + """
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# 用户添加的危险操作
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import subprocess
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subprocess.run(['dir'], shell=True)
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"""
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# 3. 安全检查修改后的代码
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check_result = self.checker.check(modified_dangerous_code)
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# 4. 验证：必须检测到新增的危险操作
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self.assertFalse(check_result.passed, "修改后的危险代码必须被拦截")
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self.assertTrue(any('subprocess' in v for v in check_result.violations))
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def test_reuse_multiple_security_layers(self):
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"""测试：复用时的多层安全检查"""
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# 1. 添加包含警告操作的历史记录
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warning_code = """
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import os
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import shutil
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from pathlib import Path
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INPUT_DIR = Path('workspace/input')
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OUTPUT_DIR = Path('workspace/output')
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# 先删除旧文件
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for f in OUTPUT_DIR.glob('*.txt'):
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os.remove(f)
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# 再复制新文件
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for f in INPUT_DIR.glob('*.txt'):
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shutil.copy(f, OUTPUT_DIR / f.name)
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"""
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self.history.add_record(
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task_id="warning_task_001",
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user_input="清空并复制文件",
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intent_label=EXECUTION,
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intent_confidence=0.9,
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execution_plan="删除旧文件并复制新文件",
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code=warning_code,
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success=True,
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duration_ms=150
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)
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# 2. 复用并进行安全检查
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result = self.history.find_similar_success("清空目录并复制", return_details=True)
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similar_record, _, _ = result
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||||
# 3. 第一层：硬规则检查
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rule_result = self.checker.check(similar_record.code)
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self.assertTrue(rule_result.passed, "应该通过硬规则检查")
|
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self.assertTrue(len(rule_result.warnings) > 0, "应该产生警告")
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# 4. 第二层：LLM审查（Mock）
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with patch('llm.client.get_client') as mock_get_client:
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mock_client = MagicMock()
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mock_client.chat.return_value = '{"pass": true, "reason": "删除操作在workspace内，风险可控"}'
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mock_get_client.return_value = mock_client
|
||||
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reviewer = LLMReviewer()
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llm_result = reviewer.review(
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user_input=similar_record.user_input,
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execution_plan=similar_record.execution_plan,
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code=similar_record.code,
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warnings=rule_result.warnings
|
||||
)
|
||||
|
||||
# 验证：LLM收到了警告信息
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||||
call_args = mock_client.chat.call_args
|
||||
messages = call_args[1]['messages']
|
||||
user_message = messages[1]['content']
|
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self.assertIn("静态检查警告", user_message)
|
||||
|
||||
|
||||
class TestSecurityMetricsRegression(unittest.TestCase):
|
||||
"""
|
||||
安全指标回归测试
|
||||
确保安全相关的度量指标正确记录
|
||||
"""
|
||||
|
||||
def setUp(self):
|
||||
"""创建测试环境"""
|
||||
self.temp_dir = Path(tempfile.mkdtemp())
|
||||
|
||||
def tearDown(self):
|
||||
"""清理测试环境"""
|
||||
shutil.rmtree(self.temp_dir, ignore_errors=True)
|
||||
|
||||
def test_security_metrics_persistence(self):
|
||||
"""测试：安全指标的持久化"""
|
||||
from safety.security_metrics import SecurityMetrics
|
||||
|
||||
# 1. 创建指标实例并记录数据
|
||||
metrics1 = SecurityMetrics(self.temp_dir)
|
||||
metrics1.add_reuse_recheck()
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||||
metrics1.add_reuse_recheck()
|
||||
metrics1.add_reuse_block()
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||||
|
||||
# 2. 创建新实例（模拟重启）
|
||||
metrics2 = SecurityMetrics(self.temp_dir)
|
||||
|
||||
# 3. 验证：数据应该被持久化
|
||||
stats = metrics2.get_stats()
|
||||
self.assertEqual(stats['reuse_recheck_count'], 2)
|
||||
self.assertEqual(stats['reuse_block_count'], 1)
|
||||
|
||||
def test_security_metrics_accuracy(self):
|
||||
"""测试：安全指标计算的准确性"""
|
||||
from safety.security_metrics import SecurityMetrics
|
||||
|
||||
metrics = SecurityMetrics(self.temp_dir)
|
||||
|
||||
# 记录10次复检，3次拦截
|
||||
for _ in range(10):
|
||||
metrics.add_reuse_recheck()
|
||||
|
||||
for _ in range(3):
|
||||
metrics.add_reuse_block()
|
||||
|
||||
stats = metrics.get_stats()
|
||||
|
||||
# 验证计数
|
||||
self.assertEqual(stats['reuse_recheck_count'], 10)
|
||||
self.assertEqual(stats['reuse_block_count'], 3)
|
||||
|
||||
# 验证拦截率
|
||||
expected_rate = 3 / 10
|
||||
self.assertAlmostEqual(stats['reuse_block_rate'], expected_rate, places=2)
|
||||
|
||||
|
||||
class TestCriticalPathCoverage(unittest.TestCase):
|
||||
"""
|
||||
关键路径覆盖测试
|
||||
确保所有关键安全路径都被测试覆盖
|
||||
"""
|
||||
|
||||
def test_critical_path_new_code_generation(self):
|
||||
"""关键路径：新代码生成 -> 安全检查 -> 执行"""
|
||||
checker = RuleChecker()
|
||||
|
||||
# 1. 生成新代码（模拟）
|
||||
new_code = """
|
||||
import shutil
|
||||
from pathlib import Path
|
||||
|
||||
INPUT_DIR = Path('workspace/input')
|
||||
OUTPUT_DIR = Path('workspace/output')
|
||||
|
||||
for f in INPUT_DIR.glob('*.png'):
|
||||
shutil.copy(f, OUTPUT_DIR / f.name)
|
||||
"""
|
||||
|
||||
# 2. 硬规则检查
|
||||
rule_result = checker.check(new_code)
|
||||
self.assertTrue(rule_result.passed)
|
||||
|
||||
# 3. LLM审查（Mock）
|
||||
with patch('llm.client.get_client') as mock_get_client:
|
||||
mock_client = MagicMock()
|
||||
mock_client.chat.return_value = '{"pass": true, "reason": "代码安全"}'
|
||||
mock_get_client.return_value = mock_client
|
||||
|
||||
reviewer = LLMReviewer()
|
||||
llm_result = reviewer.review(
|
||||
user_input="复制图片",
|
||||
execution_plan="复制png文件",
|
||||
code=new_code,
|
||||
warnings=rule_result.warnings
|
||||
)
|
||||
|
||||
self.assertTrue(llm_result.passed)
|
||||
|
||||
def test_critical_path_code_reuse(self):
|
||||
"""关键路径：代码复用 -> 安全复检 -> 执行"""
|
||||
temp_dir = Path(tempfile.mkdtemp())
|
||||
try:
|
||||
history = HistoryManager(temp_dir)
|
||||
checker = RuleChecker()
|
||||
|
||||
# 1. 添加历史记录
|
||||
reuse_code = """
|
||||
import shutil
|
||||
from pathlib import Path
|
||||
|
||||
INPUT_DIR = Path('workspace/input')
|
||||
OUTPUT_DIR = Path('workspace/output')
|
||||
|
||||
for f in INPUT_DIR.glob('*.jpg'):
|
||||
shutil.copy(f, OUTPUT_DIR / f.name)
|
||||
"""
|
||||
|
||||
history.add_record(
|
||||
task_id="reuse_001",
|
||||
user_input="复制jpg图片",
|
||||
intent_label=EXECUTION,
|
||||
intent_confidence=0.95,
|
||||
execution_plan="复制jpg文件",
|
||||
code=reuse_code,
|
||||
success=True,
|
||||
duration_ms=100
|
||||
)
|
||||
|
||||
# 2. 查找相似任务
|
||||
result = history.find_similar_success("复制jpeg图片", return_details=True)
|
||||
self.assertIsNotNone(result)
|
||||
|
||||
similar_record, _, _ = result
|
||||
|
||||
# 3. 安全复检（关键步骤）
|
||||
recheck_result = checker.check(similar_record.code)
|
||||
self.assertTrue(recheck_result.passed, "复用代码必须通过安全复检")
|
||||
|
||||
finally:
|
||||
shutil.rmtree(temp_dir, ignore_errors=True)
|
||||
|
||||
def test_critical_path_code_fix_retry(self):
|
||||
"""关键路径：失败重试 -> 代码修复 -> 安全检查 -> 执行"""
|
||||
temp_dir = Path(tempfile.mkdtemp())
|
||||
try:
|
||||
history = HistoryManager(temp_dir)
|
||||
checker = RuleChecker()
|
||||
|
||||
# 1. 添加失败的历史记录
|
||||
failed_code = """
|
||||
import shutil
|
||||
from pathlib import Path
|
||||
|
||||
INPUT_DIR = Path('workspace/input')
|
||||
OUTPUT_DIR = Path('workspace/output')
|
||||
|
||||
# 错误：路径拼写错误
|
||||
for f in INPUT_DIR.glob('*.pngg'): # 注意：pngg是错误的
|
||||
shutil.copy(f, OUTPUT_DIR / f.name)
|
||||
"""
|
||||
|
||||
history.add_record(
|
||||
task_id="failed_001",
|
||||
user_input="复制png图片",
|
||||
intent_label=EXECUTION,
|
||||
intent_confidence=0.95,
|
||||
execution_plan="复制png文件",
|
||||
code=failed_code,
|
||||
success=False,
|
||||
duration_ms=50,
|
||||
stderr="没有找到文件"
|
||||
)
|
||||
|
||||
# 2. 修复代码（模拟AI修复）
|
||||
fixed_code = failed_code.replace('*.pngg', '*.png')
|
||||
|
||||
# 3. 安全检查修复后的代码
|
||||
check_result = checker.check(fixed_code)
|
||||
self.assertTrue(check_result.passed, "修复后的代码必须通过安全检查")
|
||||
|
||||
finally:
|
||||
shutil.rmtree(temp_dir, ignore_errors=True)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# 运行测试并生成详细报告
|
||||
unittest.main(verbosity=2)
|
||||
|
||||
Reference in New Issue
Block a user