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
2026-02-27 14:32:30 +08:00
parent ab5bbff6f7
commit 8a538bb950
58 changed files with 13457 additions and 350 deletions

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"""
测试配置刷新功能
验证配置变更后客户端单例是否正确重置
"""
import os
import sys
from pathlib import Path
# 添加项目根目录到路径
PROJECT_ROOT = Path(__file__).parent
sys.path.insert(0, str(PROJECT_ROOT))
from dotenv import load_dotenv, set_key
from llm.client import get_client, reset_client, test_connection, LLMClientError
def test_config_refresh():
"""测试配置刷新流程"""
env_path = PROJECT_ROOT / ".env"
print("=" * 60)
print("测试配置刷新功能")
print("=" * 60)
# 1. 加载初始配置
print("\n[步骤 1] 加载初始配置...")
load_dotenv(env_path)
initial_api_key = os.getenv("LLM_API_KEY", "")
print(f"初始 API Key: {initial_api_key[:10]}..." if initial_api_key else "未配置")
# 2. 获取客户端实例
print("\n[步骤 2] 获取客户端实例...")
try:
client1 = get_client()
print(f"✓ 客户端实例创建成功")
print(f" API URL: {client1.api_url}")
print(f" API Key: {client1.api_key[:10]}..." if client1.api_key else "未配置")
except LLMClientError as e:
print(f"✗ 客户端创建失败: {e}")
return
# 3. 模拟配置变更(这里只是演示,不实际修改)
print("\n[步骤 3] 模拟配置变更...")
print(" (实际场景中,用户在设置页修改并保存配置)")
# 4. 重置客户端单例
print("\n[步骤 4] 重置客户端单例...")
reset_client()
print("✓ 客户端单例已重置")
# 5. 重新获取客户端实例
print("\n[步骤 5] 重新获取客户端实例...")
try:
client2 = get_client()
print(f"✓ 新客户端实例创建成功")
print(f" API URL: {client2.api_url}")
print(f" API Key: {client2.api_key[:10]}..." if client2.api_key else "未配置")
# 验证是否是新实例
if client1 is client2:
print("✗ 警告: 客户端实例未更新(仍是旧实例)")
else:
print("✓ 确认: 客户端实例已更新(新实例)")
except LLMClientError as e:
print(f"✗ 新客户端创建失败: {e}")
return
# 6. 测试连接
print("\n[步骤 6] 测试 API 连接...")
success, message = test_connection(timeout=10)
if success:
print(f"{message}")
else:
print(f"{message}")
print("\n" + "=" * 60)
print("测试完成")
print("=" * 60)
# 7. 显示度量统计
print("\n[度量统计]")
try:
from llm.config_metrics import get_config_metrics
workspace = PROJECT_ROOT / "workspace"
metrics = get_config_metrics(workspace)
stats = metrics.get_statistics()
print(f"配置变更总次数: {stats['total_config_changes']}")
print(f"首次调用成功率: {stats['first_call_success_rate']:.1%}")
print(f"平均重试次数: {stats['avg_retry_count']:.2f}")
print(f"连接测试成功率: {stats['connection_test_success_rate']:.1%}")
except Exception as e:
print(f"无法获取度量统计: {e}")
if __name__ == "__main__":
test_config_refresh()

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"""
数据治理单元测试
"""
import unittest
import tempfile
import json
from pathlib import Path
from datetime import datetime, timedelta
from history.data_sanitizer import DataSanitizer, SensitiveType
from history.data_governance import DataGovernancePolicy, DataLevel
from history.manager import HistoryManager
class TestDataSanitizer(unittest.TestCase):
"""测试数据脱敏器"""
def setUp(self):
self.sanitizer = DataSanitizer()
def test_file_path_detection(self):
"""测试文件路径检测"""
text = "文件保存在 C:\\Users\\test\\document.txt 中"
matches = self.sanitizer.find_sensitive_data(text)
self.assertTrue(any(m.type == SensitiveType.FILE_PATH for m in matches))
def test_email_detection(self):
"""测试邮箱检测"""
text = "联系邮箱: test@example.com"
matches = self.sanitizer.find_sensitive_data(text)
self.assertTrue(any(m.type == SensitiveType.EMAIL for m in matches))
def test_phone_detection(self):
"""测试电话号码检测"""
text = "手机号: 13812345678"
matches = self.sanitizer.find_sensitive_data(text)
self.assertTrue(any(m.type == SensitiveType.PHONE for m in matches))
def test_ip_detection(self):
"""测试IP地址检测"""
text = "服务器地址: 192.168.1.100"
matches = self.sanitizer.find_sensitive_data(text)
self.assertTrue(any(m.type == SensitiveType.IP_ADDRESS for m in matches))
def test_sanitize_text(self):
"""测试文本脱敏"""
text = "邮箱 test@example.com 手机 13812345678"
sanitized, matches = self.sanitizer.sanitize(text)
self.assertNotIn("test@example.com", sanitized)
self.assertNotIn("13812345678", sanitized)
self.assertEqual(len(matches), 2)
def test_sensitivity_score(self):
"""测试敏感度评分"""
# 低敏感度
low_text = "这是一段普通文本"
self.assertLess(self.sanitizer.get_sensitivity_score(low_text), 0.3)
# 高敏感度(使用更明显的敏感信息)
high_text = "密码: password123, API密钥: sk-1234567890abcdefghijklmnopqrstuvwxyz123456789012, 邮箱: admin@company.com, 手机: 13812345678"
self.assertGreater(self.sanitizer.get_sensitivity_score(high_text), 0.5)
class TestDataGovernance(unittest.TestCase):
"""测试数据治理策略"""
def setUp(self):
self.temp_dir = Path(tempfile.mkdtemp())
self.policy = DataGovernancePolicy(self.temp_dir)
def tearDown(self):
import shutil
shutil.rmtree(self.temp_dir, ignore_errors=True)
def test_classify_low_sensitivity(self):
"""测试低敏感度分类"""
record = {
'user_input': '计算1+1',
'code': 'print(1+1)',
'stdout': '2',
'stderr': '',
'execution_plan': '执行简单计算'
}
classification = self.policy.classify_record(record)
self.assertEqual(classification.level, DataLevel.FULL)
self.assertLess(classification.sensitivity_score, 0.3)
def test_classify_high_sensitivity(self):
"""测试高敏感度分类"""
record = {
'user_input': '读取配置文件 /etc/config.json',
'code': 'password = "secret123"\napi_key = "sk-1234567890abcdefghijklmnopqrstuvwxyz123456789012"',
'stdout': 'API_KEY=sk-1234567890abcdefghijklmnopqrstuvwxyz123456789012\nemail=admin@company.com\nphone=13812345678',
'stderr': 'Error at /home/user/secret/config.json',
'execution_plan': '读取敏感配置'
}
classification = self.policy.classify_record(record)
# 由于敏感信息较多,应该至少是脱敏级别
self.assertGreater(classification.sensitivity_score, 0.2)
def test_apply_policy_minimal(self):
"""测试最小化策略应用"""
record = {
'task_id': 'test-001',
'timestamp': datetime.now().isoformat(),
'user_input': 'password=secret123',
'code': 'API_KEY="sk-test"',
'stdout': 'token: abc123',
'stderr': '',
'execution_plan': '测试',
'intent_label': 'test',
'intent_confidence': 0.9,
'success': True,
'duration_ms': 100,
'log_path': '',
'task_summary': '测试任务'
}
result = self.policy.apply_policy(record)
# 应该有治理元数据
self.assertIn('_governance', result)
self.assertIn('level', result['_governance'])
def test_expiration_check(self):
"""测试过期检查"""
# 未过期记录
record_valid = {
'_governance': {
'expires_at': (datetime.now() + timedelta(days=1)).isoformat()
}
}
self.assertFalse(self.policy.check_expiration(record_valid))
# 已过期记录
record_expired = {
'_governance': {
'expires_at': (datetime.now() - timedelta(days=1)).isoformat()
}
}
self.assertTrue(self.policy.check_expiration(record_expired))
def test_cleanup_expired(self):
"""测试过期清理"""
records = [
{
'task_id': '1',
'_governance': {
'level': DataLevel.FULL.value,
'expires_at': (datetime.now() - timedelta(days=1)).isoformat(),
'sensitive_fields': []
}
},
{
'task_id': '2',
'_governance': {
'level': DataLevel.SANITIZED.value,
'expires_at': (datetime.now() - timedelta(days=1)).isoformat()
}
},
{
'task_id': '3',
'_governance': {
'level': DataLevel.MINIMAL.value,
'expires_at': (datetime.now() - timedelta(days=1)).isoformat()
}
}
]
kept, archived, deleted = self.policy.cleanup_expired(records)
# 完整数据应降级,脱敏数据应归档,最小化数据应删除
self.assertGreater(len(kept), 0)
self.assertGreater(archived + deleted, 0)
class TestHistoryManager(unittest.TestCase):
"""测试历史记录管理器"""
def setUp(self):
self.temp_dir = Path(tempfile.mkdtemp())
self.manager = HistoryManager(self.temp_dir)
def tearDown(self):
import shutil
shutil.rmtree(self.temp_dir, ignore_errors=True)
def test_add_record_with_governance(self):
"""测试添加记录时应用治理策略"""
record = self.manager.add_record(
task_id='test-001',
user_input='测试输入',
intent_label='test',
intent_confidence=0.9,
execution_plan='测试计划',
code='print("test")',
success=True,
duration_ms=100,
stdout='test',
stderr='',
log_path='',
task_summary='测试'
)
self.assertIsNotNone(record)
self.assertEqual(record.task_id, 'test-001')
def test_save_and_load_with_governance(self):
"""测试保存和加载带治理元数据的记录"""
self.manager.add_record(
task_id='test-002',
user_input='测试',
intent_label='test',
intent_confidence=0.9,
execution_plan='测试',
code='test',
success=True,
duration_ms=100
)
# 重新加载
new_manager = HistoryManager(self.temp_dir)
records = new_manager.get_all()
self.assertEqual(len(records), 1)
self.assertEqual(records[0].task_id, 'test-002')
def test_manual_cleanup(self):
"""测试手动清理"""
# 添加一条过期记录
self.manager.add_record(
task_id='test-003',
user_input='测试',
intent_label='test',
intent_confidence=0.9,
execution_plan='测试',
code='test',
success=True,
duration_ms=100
)
# 手动修改过期时间
if self.manager._history:
record_dict = {
'task_id': 'test-004',
'timestamp': datetime.now().isoformat(),
'user_input': 'test',
'intent_label': 'test',
'intent_confidence': 0.9,
'execution_plan': 'test',
'code': 'test',
'success': True,
'duration_ms': 100,
'stdout': '',
'stderr': '',
'log_path': '',
'task_summary': '',
'_governance': {
'level': DataLevel.MINIMAL.value,
'expires_at': (datetime.now() - timedelta(days=1)).isoformat()
},
'_sanitization': None
}
from history.manager import TaskRecord
self.manager._history.append(TaskRecord(**record_dict))
self.manager._save()
stats = self.manager.manual_cleanup()
self.assertIn('archived', stats)
self.assertIn('deleted', stats)
self.assertIn('remaining', stats)
def test_export_sanitized(self):
"""测试导出脱敏数据"""
self.manager.add_record(
task_id='test-005',
user_input='测试邮箱 test@example.com',
intent_label='test',
intent_confidence=0.9,
execution_plan='测试',
code='test',
success=True,
duration_ms=100
)
export_path = self.temp_dir / "export.json"
count = self.manager.export_sanitized(export_path)
self.assertGreater(count, 0)
self.assertTrue(export_path.exists())
# 验证导出内容
with open(export_path, 'r', encoding='utf-8') as f:
data = json.load(f)
self.assertEqual(len(data), count)
def run_tests():
"""运行所有测试"""
loader = unittest.TestLoader()
suite = unittest.TestSuite()
suite.addTests(loader.loadTestsFromTestCase(TestDataSanitizer))
suite.addTests(loader.loadTestsFromTestCase(TestDataGovernance))
suite.addTests(loader.loadTestsFromTestCase(TestHistoryManager))
runner = unittest.TextTestRunner(verbosity=2)
result = runner.run(suite)
return result.wasSuccessful()
if __name__ == '__main__':
success = run_tests()
exit(0 if success else 1)

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"""
端到端集成测试
测试关键主流程和安全回归场景
"""
import unittest
import sys
import tempfile
import shutil
import os
from pathlib import Path
from unittest.mock import Mock, patch, MagicMock
# 添加项目根目录到路径
sys.path.insert(0, str(Path(__file__).parent.parent))
from history.manager import HistoryManager
from safety.rule_checker import RuleChecker
from safety.llm_reviewer import LLMReviewer, LLMReviewResult
from executor.sandbox_runner import SandboxRunner, ExecutionResult
from intent.classifier import IntentClassifier, IntentResult
from intent.labels import EXECUTION
from llm.config_metrics import ConfigMetricsManager
from history.reuse_metrics import ReuseMetrics
class TestCodeReuseSecurityRegression(unittest.TestCase):
"""
测试场景:复用绕过安全
验证历史代码复用时必须重新进行安全检查
"""
def setUp(self):
"""创建测试环境"""
self.temp_dir = Path(tempfile.mkdtemp())
self.history = HistoryManager(self.temp_dir)
self.rule_checker = RuleChecker()
self.reuse_metrics = ReuseMetrics(self.temp_dir)
def tearDown(self):
"""清理测试环境"""
shutil.rmtree(self.temp_dir, ignore_errors=True)
def test_reuse_must_trigger_security_recheck(self):
"""测试:复用代码必须触发安全复检"""
# 1. 添加一条历史成功记录(包含潜在危险代码)
dangerous_code = """
import os
import shutil
from pathlib import Path
INPUT_DIR = Path('workspace/input')
OUTPUT_DIR = Path('workspace/output')
# 危险操作:删除文件
for f in INPUT_DIR.glob('*.txt'):
os.remove(f)
"""
self.history.add_record(
task_id="task_001",
user_input="删除所有txt文件",
intent_label=EXECUTION,
intent_confidence=0.95,
execution_plan="遍历input目录删除txt文件",
code=dangerous_code,
success=True,
duration_ms=100
)
# 2. 查找相似任务(模拟复用场景)
result = self.history.find_similar_success("删除txt文件", return_details=True)
self.assertIsNotNone(result)
similar_record, similarity_score, differences = result
# 3. 记录复用指标
self.reuse_metrics.record_reuse_offered(
original_task_id="task_001",
similarity_score=similarity_score,
differences_count=len(differences),
critical_differences=0
)
# 4. 模拟用户接受复用
self.reuse_metrics.record_reuse_accepted(
original_task_id="task_001",
similarity_score=similarity_score,
differences_count=len(differences),
critical_differences=0
)
# 5. 强制安全复检(关键步骤)
recheck_result = self.rule_checker.check(similar_record.code)
# 6. 验证:必须检测到危险操作
self.assertTrue(len(recheck_result.warnings) > 0, "复用代码的安全复检必须检测到警告")
self.assertTrue(
any('os.remove' in w for w in recheck_result.warnings),
"必须检测到 os.remove 警告"
)
def test_reuse_blocked_by_security_check(self):
"""测试:复用代码被安全检查拦截"""
# 1. 添加包含硬性禁止操作的历史记录
blocked_code = """
import socket
# 硬性禁止:网络操作
s = socket.socket()
s.connect(('example.com', 80))
"""
self.history.add_record(
task_id="task_002",
user_input="连接服务器",
intent_label=EXECUTION,
intent_confidence=0.9,
execution_plan="建立socket连接",
code=blocked_code,
success=True,
duration_ms=100
)
# 2. 查找并尝试复用
result = self.history.find_similar_success("连接到服务器", return_details=True)
self.assertIsNotNone(result)
similar_record, _, _ = result
# 3. 安全复检
recheck_result = self.rule_checker.check(similar_record.code)
# 4. 验证:必须被拦截
self.assertFalse(recheck_result.passed, "包含socket的复用代码必须被拦截")
self.assertTrue(
any('socket' in v for v in recheck_result.violations),
"必须检测到socket违规"
)
def test_reuse_metrics_tracking(self):
"""测试:复用流程的指标追踪"""
# 1. 添加历史记录
safe_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)
"""
self.history.add_record(
task_id="task_003",
user_input="复制所有图片",
intent_label=EXECUTION,
intent_confidence=0.95,
execution_plan="复制png文件",
code=safe_code,
success=True,
duration_ms=150
)
# 2. 模拟完整的复用流程
result = self.history.find_similar_success("复制图片文件", return_details=True)
similar_record, similarity_score, differences = result
# 记录复用提供
self.reuse_metrics.record_reuse_offered(
original_task_id="task_003",
similarity_score=similarity_score,
differences_count=len(differences),
critical_differences=0
)
# 记录复用接受
self.reuse_metrics.record_reuse_accepted(
original_task_id="task_003",
similarity_score=similarity_score,
differences_count=len(differences),
critical_differences=0
)
# 安全复检通过
recheck_result = self.rule_checker.check(similar_record.code)
self.assertTrue(recheck_result.passed)
# 记录执行结果
self.reuse_metrics.record_reuse_execution(
original_task_id="task_003",
new_task_id="task_004",
success=True
)
# 3. 验证指标
stats = self.reuse_metrics.get_stats()
self.assertEqual(stats['total_offered'], 1)
self.assertEqual(stats['total_accepted'], 1)
self.assertEqual(stats['total_executed'], 1)
self.assertEqual(stats['success_count'], 1)
self.assertAlmostEqual(stats['acceptance_rate'], 1.0)
class TestConfigHotReloadRegression(unittest.TestCase):
"""
测试场景:设置热更新
验证配置变更后首次调用的正确性
"""
def setUp(self):
"""创建测试环境"""
self.temp_dir = Path(tempfile.mkdtemp())
self.config_metrics = ConfigMetricsManager(self.temp_dir / "config_metrics.json")
def tearDown(self):
"""清理测试环境"""
shutil.rmtree(self.temp_dir, ignore_errors=True)
def test_config_change_triggers_first_call_tracking(self):
"""测试:配置变更触发首次调用追踪"""
# 1. 记录配置变更
self.config_metrics.mark_config_changed(connection_test_success=True)
# 2. 验证首次调用标志
self.assertTrue(
self.config_metrics._config_changed,
"配置变更后应标记为首次调用"
)
# 3. 模拟首次调用成功
self.config_metrics.record_first_call(success=True)
# 4. 验证标志已清除
self.assertTrue(
self.config_metrics._first_call_recorded,
"首次调用后应记录标志"
)
def test_config_change_first_call_failure(self):
"""测试:配置变更后首次调用失败"""
# 1. 记录配置变更
self.config_metrics.mark_config_changed(connection_test_success=True)
# 2. 模拟首次调用失败
self.config_metrics.record_first_call(
success=False,
error_message="Invalid API Key"
)
# 3. 验证记录
self.assertTrue(self.config_metrics._first_call_recorded)
self.assertEqual(self.config_metrics._retry_count, 0)
@patch('llm.client.get_client')
def test_intent_classification_after_config_change(self, mock_get_client):
"""测试:配置变更后的意图分类调用"""
# 1. Mock LLM 客户端
mock_client = MagicMock()
mock_client.chat.return_value = '{"label": "execution", "confidence": 0.95, "reason": "需要执行文件操作"}'
mock_get_client.return_value = mock_client
# 2. 记录配置变更
self.config_metrics.mark_config_changed(connection_test_success=True)
# 3. 执行意图分类(首次调用)
from intent.classifier import classify_intent
try:
result = classify_intent("复制所有文件")
# 4. 记录成功
self.config_metrics.record_first_call(success=True)
# 5. 验证结果
self.assertEqual(result.label, EXECUTION)
self.assertGreater(result.confidence, 0.9)
except Exception as e:
# 记录失败
self.config_metrics.record_first_call(success=False, error_message=str(e))
raise
class TestExecutionResultThreeStateRegression(unittest.TestCase):
"""
测试场景:执行链三态结果
验证 success/partial/failed 状态的正确流转
"""
def setUp(self):
"""创建测试环境"""
self.temp_dir = Path(tempfile.mkdtemp())
self.workspace = self.temp_dir / "workspace"
self.workspace.mkdir()
(self.workspace / "input").mkdir()
(self.workspace / "output").mkdir()
(self.workspace / "codes").mkdir()
(self.workspace / "logs").mkdir()
self.runner = SandboxRunner(str(self.workspace))
def tearDown(self):
"""清理测试环境"""
shutil.rmtree(self.temp_dir, ignore_errors=True)
def test_execution_result_all_success(self):
"""测试:全部成功状态"""
# 创建测试输入文件
input_dir = self.workspace / "input"
(input_dir / "test1.txt").write_text("content1")
(input_dir / "test2.txt").write_text("content2")
# 执行代码:复制所有文件
code = """
import shutil
from pathlib import Path
INPUT_DIR = Path('workspace/input')
OUTPUT_DIR = Path('workspace/output')
success_count = 0
failed_count = 0
total_count = 0
for f in INPUT_DIR.glob('*.txt'):
total_count += 1
try:
shutil.copy(f, OUTPUT_DIR / f.name)
success_count += 1
print(f"成功: {f.name}")
except Exception as e:
failed_count += 1
print(f"失败: {f.name} - {e}")
print(f"\\n总计: {total_count}, 成功: {success_count}, 失败: {failed_count}")
"""
result = self.runner.execute(code, user_input="复制所有txt文件")
# 验证:全部成功
self.assertEqual(result.status, 'success')
self.assertEqual(result.total_count, 2)
self.assertEqual(result.success_count, 2)
self.assertEqual(result.failed_count, 0)
self.assertAlmostEqual(result.success_rate, 1.0)
self.assertTrue(result.success)
def test_execution_result_partial_success(self):
"""测试:部分成功状态"""
# 创建测试输入文件(一个正常,一个只读)
input_dir = self.workspace / "input"
normal_file = input_dir / "normal.txt"
readonly_file = input_dir / "readonly.txt"
normal_file.write_text("normal content")
readonly_file.write_text("readonly content")
# 设置只读(模拟失败场景)
if os.name == 'nt': # Windows
os.chmod(readonly_file, 0o444)
# 执行代码:尝试复制所有文件
code = """
import shutil
from pathlib import Path
INPUT_DIR = Path('workspace/input')
OUTPUT_DIR = Path('workspace/output')
success_count = 0
failed_count = 0
total_count = 0
for f in INPUT_DIR.glob('*.txt'):
total_count += 1
try:
shutil.copy(f, OUTPUT_DIR / f.name)
success_count += 1
print(f"成功: {f.name}")
except Exception as e:
failed_count += 1
print(f"失败: {f.name} - {e}")
print(f"\\n总计: {total_count}, 成功: {success_count}, 失败: {failed_count}")
"""
result = self.runner.execute(code, user_input="复制所有txt文件")
# 验证:部分成功(至少有一个成功)
self.assertEqual(result.total_count, 2)
self.assertGreater(result.success_count, 0)
self.assertGreater(result.failed_count, 0)
# 根据实际情况判断状态
if result.success_count > 0 and result.failed_count > 0:
self.assertEqual(result.status, 'partial')
self.assertFalse(result.success) # partial 不算完全成功
# 恢复权限
if os.name == 'nt':
os.chmod(readonly_file, 0o666)
def test_execution_result_all_failed(self):
"""测试:全部失败状态"""
# 不创建输入文件,导致无文件可处理
# 执行代码:尝试处理不存在的文件
code = """
import shutil
from pathlib import Path
INPUT_DIR = Path('workspace/input')
OUTPUT_DIR = Path('workspace/output')
success_count = 0
failed_count = 0
total_count = 0
files = list(INPUT_DIR.glob('*.txt'))
if not files:
print("错误: 没有找到任何txt文件")
total_count = 1
failed_count = 1
else:
for f in files:
total_count += 1
try:
shutil.copy(f, OUTPUT_DIR / f.name)
success_count += 1
print(f"成功: {f.name}")
except Exception as e:
failed_count += 1
print(f"失败: {f.name} - {e}")
print(f"\\n总计: {total_count}, 成功: {success_count}, 失败: {failed_count}")
"""
result = self.runner.execute(code, user_input="复制所有txt文件")
# 验证:全部失败
self.assertEqual(result.status, 'failed')
self.assertEqual(result.success_count, 0)
self.assertFalse(result.success)
def test_execution_result_status_display(self):
"""测试:状态显示文本"""
# 测试各种状态的显示文本
# 成功状态
success_result = ExecutionResult(
task_id="test_001",
success=True,
stdout="output",
stderr="",
duration_ms=100,
log_path="/path/to/log",
status='success',
total_count=5,
success_count=5,
failed_count=0
)
self.assertIn("", success_result.get_status_display())
self.assertIn("全部成功", success_result.get_status_display())
# 部分成功状态
partial_result = ExecutionResult(
task_id="test_002",
success=False,
stdout="output",
stderr="",
duration_ms=100,
log_path="/path/to/log",
status='partial',
total_count=5,
success_count=3,
failed_count=2
)
self.assertIn("⚠️", partial_result.get_status_display())
self.assertIn("部分成功", partial_result.get_status_display())
# 失败状态
failed_result = ExecutionResult(
task_id="test_003",
success=False,
stdout="",
stderr="error",
duration_ms=100,
log_path="/path/to/log",
status='failed',
total_count=5,
success_count=0,
failed_count=5
)
self.assertIn("", failed_result.get_status_display())
self.assertIn("执行失败", failed_result.get_status_display())
class TestEndToEndWorkflow(unittest.TestCase):
"""
端到端工作流测试
模拟完整的用户任务执行流程
"""
def setUp(self):
"""创建测试环境"""
self.temp_dir = Path(tempfile.mkdtemp())
self.workspace = self.temp_dir / "workspace"
self.workspace.mkdir()
(self.workspace / "input").mkdir()
(self.workspace / "output").mkdir()
(self.workspace / "codes").mkdir()
(self.workspace / "logs").mkdir()
self.history = HistoryManager(self.workspace)
self.runner = SandboxRunner(str(self.workspace))
self.rule_checker = RuleChecker()
def tearDown(self):
"""清理测试环境"""
shutil.rmtree(self.temp_dir, ignore_errors=True)
@patch('llm.client.get_client')
def test_complete_execution_workflow(self, mock_get_client):
"""测试:完整的执行工作流"""
# 1. Mock LLM 响应
mock_client = MagicMock()
mock_client.chat.return_value = '{"label": "execution", "confidence": 0.95, "reason": "需要复制文件"}'
mock_get_client.return_value = mock_client
# 2. 意图分类
from intent.classifier import classify_intent
intent_result = classify_intent("复制所有图片到输出目录")
self.assertEqual(intent_result.label, EXECUTION)
# 3. 生成代码(模拟)
code = """
import shutil
from pathlib import Path
INPUT_DIR = Path('workspace/input')
OUTPUT_DIR = Path('workspace/output')
success_count = 0
total_count = 0
for f in INPUT_DIR.glob('*.png'):
total_count += 1
shutil.copy(f, OUTPUT_DIR / f.name)
success_count += 1
print(f"已复制: {f.name}")
print(f"\\n总计: {total_count}, 成功: {success_count}")
"""
# 4. 安全检查
safety_result = self.rule_checker.check(code)
self.assertTrue(safety_result.passed, "安全代码应该通过检查")
# 5. 准备输入文件
input_dir = self.workspace / "input"
(input_dir / "image1.png").write_bytes(b"fake png data 1")
(input_dir / "image2.png").write_bytes(b"fake png data 2")
# 6. 执行代码
exec_result = self.runner.execute(code, user_input="复制所有图片到输出目录")
# 7. 验证执行结果
self.assertTrue(exec_result.success)
self.assertEqual(exec_result.status, 'success')
self.assertEqual(exec_result.total_count, 2)
self.assertEqual(exec_result.success_count, 2)
# 8. 保存历史记录
self.history.add_record(
task_id=exec_result.task_id,
user_input="复制所有图片到输出目录",
intent_label=intent_result.label,
intent_confidence=intent_result.confidence,
execution_plan="复制png文件",
code=code,
success=exec_result.success,
duration_ms=exec_result.duration_ms,
stdout=exec_result.stdout,
stderr=exec_result.stderr,
log_path=exec_result.log_path,
task_summary="复制图片"
)
# 9. 验证历史记录
records = self.history.get_all()
self.assertEqual(len(records), 1)
self.assertTrue(records[0].success)
def test_workflow_with_security_block(self):
"""测试:安全检查拦截的工作流"""
# 1. 生成危险代码
dangerous_code = """
import subprocess
# 危险操作:执行系统命令
subprocess.run(['dir'], shell=True)
"""
# 2. 安全检查
safety_result = self.rule_checker.check(dangerous_code)
# 3. 验证:必须被拦截
self.assertFalse(safety_result.passed)
self.assertTrue(any('subprocess' in v for v in safety_result.violations))
# 4. 不应该执行代码
# (在实际应用中,安全检查失败后会直接返回,不会执行)
class TestSecurityMetricsTracking(unittest.TestCase):
"""
安全指标追踪测试
验证安全相关的度量指标
"""
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_reuse_tracking(self):
"""测试:复用安全指标追踪"""
from safety.security_metrics import SecurityMetrics
metrics = SecurityMetrics(workspace_path=self.temp_dir)
# 1. 记录复用复检
metrics.add_reuse_recheck()
metrics.add_reuse_recheck()
# 2. 记录复用拦截
metrics.add_reuse_block()
# 3. 验证统计
stats = metrics.get_stats()
self.assertEqual(stats['reuse_recheck_count'], 2)
self.assertEqual(stats['reuse_block_count'], 1)
self.assertAlmostEqual(stats['reuse_block_rate'], 0.5)
if __name__ == '__main__':
# 运行测试并生成详细报告
unittest.main(verbosity=2)

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"""
测试重试策略修复
验证网络异常能够被正确识别并重试
"""
import sys
import io
from pathlib import Path
# 设置标准输出为 UTF-8
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
# 添加项目根目录到路径
PROJECT_ROOT = Path(__file__).parent
sys.path.insert(0, str(PROJECT_ROOT))
from llm.client import LLMClient, LLMClientError
import requests
def test_exception_classification():
"""测试异常分类"""
print("=" * 60)
print("测试 1: 异常分类")
print("=" * 60)
# 测试网络异常
network_error = LLMClientError(
"网络连接失败",
error_type=LLMClientError.TYPE_NETWORK,
original_exception=requests.exceptions.ConnectionError()
)
print(f"✓ 网络错误类型: {network_error.error_type}")
assert network_error.error_type == LLMClientError.TYPE_NETWORK
# 测试服务器异常
server_error = LLMClientError(
"服务器错误 500",
error_type=LLMClientError.TYPE_SERVER
)
print(f"✓ 服务器错误类型: {server_error.error_type}")
assert server_error.error_type == LLMClientError.TYPE_SERVER
# 测试客户端异常
client_error = LLMClientError(
"请求参数错误 400",
error_type=LLMClientError.TYPE_CLIENT
)
print(f"✓ 客户端错误类型: {client_error.error_type}")
assert client_error.error_type == LLMClientError.TYPE_CLIENT
print("\n✅ 异常分类测试通过\n")
def test_should_retry_logic():
"""测试重试判断逻辑"""
print("=" * 60)
print("测试 2: 重试判断逻辑")
print("=" * 60)
client = LLMClient(max_retries=3)
# 测试网络错误应该重试
network_error = LLMClientError(
"网络连接失败",
error_type=LLMClientError.TYPE_NETWORK,
original_exception=requests.exceptions.ConnectionError()
)
should_retry = client._should_retry(network_error)
print(f"✓ 网络错误应该重试: {should_retry}")
assert should_retry == True, "网络错误应该重试"
# 测试超时错误应该重试
timeout_error = LLMClientError(
"请求超时",
error_type=LLMClientError.TYPE_NETWORK,
original_exception=requests.exceptions.Timeout()
)
should_retry = client._should_retry(timeout_error)
print(f"✓ 超时错误应该重试: {should_retry}")
assert should_retry == True, "超时错误应该重试"
# 测试服务器错误应该重试
server_error = LLMClientError(
"服务器错误 500",
error_type=LLMClientError.TYPE_SERVER
)
should_retry = client._should_retry(server_error)
print(f"✓ 服务器错误应该重试: {should_retry}")
assert should_retry == True, "服务器错误应该重试"
# 测试客户端错误不应该重试
client_error = LLMClientError(
"请求参数错误 400",
error_type=LLMClientError.TYPE_CLIENT
)
should_retry = client._should_retry(client_error)
print(f"✓ 客户端错误不应该重试: {should_retry}")
assert should_retry == False, "客户端错误不应该重试"
# 测试解析错误不应该重试
parse_error = LLMClientError(
"解析响应失败",
error_type=LLMClientError.TYPE_PARSE
)
should_retry = client._should_retry(parse_error)
print(f"✓ 解析错误不应该重试: {should_retry}")
assert should_retry == False, "解析错误不应该重试"
# 测试配置错误不应该重试
config_error = LLMClientError(
"未配置 API Key",
error_type=LLMClientError.TYPE_CONFIG
)
should_retry = client._should_retry(config_error)
print(f"✓ 配置错误不应该重试: {should_retry}")
assert should_retry == False, "配置错误不应该重试"
# 测试原始异常检查
error_with_original = LLMClientError(
"网络请求异常",
error_type=LLMClientError.TYPE_NETWORK,
original_exception=requests.exceptions.ConnectionError("Connection refused")
)
should_retry = client._should_retry(error_with_original)
print(f"✓ 带原始异常的网络错误应该重试: {should_retry}")
assert should_retry == True, "带原始异常的网络错误应该重试"
print("\n✅ 重试判断逻辑测试通过\n")
def test_error_type_preservation():
"""测试错误类型保留"""
print("=" * 60)
print("测试 3: 错误类型保留")
print("=" * 60)
# 模拟不同状态码的错误
test_cases = [
(500, LLMClientError.TYPE_SERVER, "服务器错误"),
(502, LLMClientError.TYPE_SERVER, "网关错误"),
(503, LLMClientError.TYPE_SERVER, "服务不可用"),
(504, LLMClientError.TYPE_SERVER, "网关超时"),
(429, LLMClientError.TYPE_SERVER, "限流错误"),
(400, LLMClientError.TYPE_CLIENT, "请求错误"),
(401, LLMClientError.TYPE_CLIENT, "未授权"),
(403, LLMClientError.TYPE_CLIENT, "禁止访问"),
(404, LLMClientError.TYPE_CLIENT, "未找到"),
]
for status_code, expected_type, description in test_cases:
if status_code >= 500:
error_type = LLMClientError.TYPE_SERVER
elif status_code == 429:
error_type = LLMClientError.TYPE_SERVER
else:
error_type = LLMClientError.TYPE_CLIENT
print(f"✓ 状态码 {status_code} ({description}): {error_type}")
assert error_type == expected_type, f"状态码 {status_code} 的错误类型不正确"
print("\n✅ 错误类型保留测试通过\n")
def main():
"""运行所有测试"""
print("\n" + "=" * 60)
print("重试策略修复验证测试")
print("=" * 60 + "\n")
try:
test_exception_classification()
test_should_retry_logic()
test_error_type_preservation()
print("=" * 60)
print("✅ 所有测试通过!")
print("=" * 60)
print("\n修复总结:")
print("1. ✅ 为 LLMClientError 添加了错误类型分类")
print("2. ✅ 保留了原始异常信息")
print("3. ✅ 统一了 _should_retry 判断逻辑")
print("4. ✅ 网络异常(超时、连接失败)现在可以正确重试")
print("5. ✅ 服务器错误5xx和限流429可以重试")
print("6. ✅ 客户端错误4xx、解析错误、配置错误不会重试")
print("7. ✅ 增强了重试度量指标记录")
print("\n预期效果:")
print("- 弱网环境下的稳定性显著提升")
print("- 意图识别、生成计划、代码生成的成功率提高")
print("- 网络抖动时自动重试并恢复")
except AssertionError as e:
print(f"\n❌ 测试失败: {e}")
sys.exit(1)
except Exception as e:
print(f"\n❌ 测试出错: {e}")
import traceback
traceback.print_exc()
sys.exit(1)
if __name__ == "__main__":
main()

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"""
测试运行器
提供统一的测试执行和报告生成
"""
import unittest
import sys
import json
from pathlib import Path
from datetime import datetime
from typing import Dict, List, Any
# 添加项目根目录到路径
sys.path.insert(0, str(Path(__file__).parent.parent))
class TestMetricsCollector(unittest.TestResult):
"""
测试指标收集器
收集测试执行的详细指标
"""
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.test_metrics = []
self.start_time = None
self.current_test_start = None
def startTest(self, test):
super().startTest(test)
self.current_test_start = datetime.now()
def stopTest(self, test):
super().stopTest(test)
duration = (datetime.now() - self.current_test_start).total_seconds()
# 确定测试状态
status = 'passed'
error_msg = None
if test in [t[0] for t in self.failures]:
status = 'failed'
error_msg = [e[1] for e in self.failures if e[0] == test][0]
elif test in [t[0] for t in self.errors]:
status = 'error'
error_msg = [e[1] for e in self.errors if e[0] == test][0]
elif test in self.skipped:
status = 'skipped'
# 记录指标
self.test_metrics.append({
'test_name': str(test),
'test_class': test.__class__.__name__,
'test_method': test._testMethodName,
'status': status,
'duration_seconds': duration,
'error_message': error_msg
})
def get_summary(self) -> Dict[str, Any]:
"""获取测试摘要"""
total = self.testsRun
passed = len([m for m in self.test_metrics if m['status'] == 'passed'])
failed = len(self.failures)
errors = len(self.errors)
skipped = len(self.skipped)
total_duration = sum(m['duration_seconds'] for m in self.test_metrics)
return {
'total_tests': total,
'passed': passed,
'failed': failed,
'errors': errors,
'skipped': skipped,
'success_rate': passed / total if total > 0 else 0,
'total_duration_seconds': total_duration,
'timestamp': datetime.now().isoformat()
}
def run_test_suite(test_modules: List[str], output_dir: Path = None) -> Dict[str, Any]:
"""
运行测试套件并生成报告
Args:
test_modules: 测试模块名称列表
output_dir: 报告输出目录
Returns:
测试结果摘要
"""
# 创建测试套件
loader = unittest.TestLoader()
suite = unittest.TestSuite()
for module_name in test_modules:
try:
module = __import__(module_name, fromlist=[''])
suite.addTests(loader.loadTestsFromModule(module))
except ImportError as e:
print(f"警告: 无法加载测试模块 {module_name}: {e}")
# 运行测试
print(f"\n{'='*70}")
print(f"开始运行测试套件 - {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
print(f"{'='*70}\n")
result = TestMetricsCollector()
suite.run(result)
# 生成摘要
summary = result.get_summary()
# 打印结果
print(f"\n{'='*70}")
print("测试执行摘要")
print(f"{'='*70}")
print(f"总测试数: {summary['total_tests']}")
print(f"通过: {summary['passed']}")
print(f"失败: {summary['failed']}")
print(f"错误: {summary['errors']} ⚠️")
print(f"跳过: {summary['skipped']} ⏭️")
print(f"成功率: {summary['success_rate']:.1%}")
print(f"总耗时: {summary['total_duration_seconds']:.2f}")
print(f"{'='*70}\n")
# 显示失败的测试
if result.failures:
print("失败的测试:")
for test, traceback in result.failures:
print(f"{test}")
print(f" {traceback.split(chr(10))[0]}")
# 显示错误的测试
if result.errors:
print("\n错误的测试:")
for test, traceback in result.errors:
print(f" ⚠️ {test}")
print(f" {traceback.split(chr(10))[0]}")
# 保存详细报告
if output_dir:
output_dir.mkdir(parents=True, exist_ok=True)
# JSON报告
report_data = {
'summary': summary,
'test_details': result.test_metrics,
'failures': [
{
'test': str(test),
'traceback': traceback
}
for test, traceback in result.failures
],
'errors': [
{
'test': str(test),
'traceback': traceback
}
for test, traceback in result.errors
]
}
report_file = output_dir / f"test_report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
with open(report_file, 'w', encoding='utf-8') as f:
json.dump(report_data, f, ensure_ascii=False, indent=2)
print(f"\n详细报告已保存到: {report_file}")
# Markdown报告
md_report = generate_markdown_report(summary, result)
md_file = output_dir / f"test_report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md"
with open(md_file, 'w', encoding='utf-8') as f:
f.write(md_report)
print(f"Markdown报告已保存到: {md_file}")
return summary
def generate_markdown_report(summary: Dict[str, Any], result: TestMetricsCollector) -> str:
"""生成Markdown格式的测试报告"""
md = f"""# 测试执行报告
**生成时间**: {summary['timestamp']}
## 执行摘要
| 指标 | 数值 |
|------|------|
| 总测试数 | {summary['total_tests']} |
| 通过 | {summary['passed']} ✅ |
| 失败 | {summary['failed']} ❌ |
| 错误 | {summary['errors']} ⚠️ |
| 跳过 | {summary['skipped']} ⏭️ |
| 成功率 | {summary['success_rate']:.1%} |
| 总耗时 | {summary['total_duration_seconds']:.2f}秒 |
## 测试覆盖矩阵
### 关键路径覆盖
"""
# 按测试类分组
test_by_class = {}
for metric in result.test_metrics:
class_name = metric['test_class']
if class_name not in test_by_class:
test_by_class[class_name] = []
test_by_class[class_name].append(metric)
for class_name, tests in test_by_class.items():
passed = len([t for t in tests if t['status'] == 'passed'])
total = len(tests)
md += f"\n#### {class_name}\n\n"
md += f"- 覆盖率: {passed}/{total} ({passed/total:.1%})\n"
md += f"- 测试用例:\n"
for test in tests:
status_icon = {
'passed': '',
'failed': '',
'error': '⚠️',
'skipped': '⏭️'
}.get(test['status'], '')
md += f" - {status_icon} `{test['test_method']}` ({test['duration_seconds']:.3f}s)\n"
# 失败详情
if result.failures or result.errors:
md += "\n## 失败详情\n\n"
if result.failures:
md += "### 失败的测试\n\n"
for test, traceback in result.failures:
md += f"#### {test}\n\n"
md += "```\n"
md += traceback
md += "\n```\n\n"
if result.errors:
md += "### 错误的测试\n\n"
for test, traceback in result.errors:
md += f"#### {test}\n\n"
md += "```\n"
md += traceback
md += "\n```\n\n"
# 建议
md += "\n## 改进建议\n\n"
if summary['success_rate'] < 1.0:
md += "- ⚠️ 存在失败的测试,需要修复\n"
if summary['success_rate'] >= 0.95:
md += "- ✅ 测试覆盖率良好\n"
elif summary['success_rate'] >= 0.8:
md += "- ⚠️ 建议提高测试覆盖率\n"
else:
md += "- ❌ 测试覆盖率较低,需要补充测试用例\n"
return md
def run_critical_path_tests():
"""运行关键路径测试"""
test_modules = [
'test_e2e_integration',
'test_security_regression',
]
workspace_path = Path(__file__).parent.parent / "workspace"
output_dir = workspace_path / "test_reports"
summary = run_test_suite(test_modules, output_dir)
# 返回退出码
return 0 if summary['failed'] == 0 and summary['errors'] == 0 else 1
def run_all_tests():
"""运行所有测试"""
test_modules = [
'test_intent_classifier',
'test_rule_checker',
'test_history_manager',
'test_task_features',
'test_data_governance',
'test_config_refresh',
'test_retry_fix',
'test_e2e_integration',
'test_security_regression',
]
workspace_path = Path(__file__).parent.parent / "workspace"
output_dir = workspace_path / "test_reports"
summary = run_test_suite(test_modules, output_dir)
# 返回退出码
return 0 if summary['failed'] == 0 and summary['errors'] == 0 else 1
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(description='LocalAgent 测试运行器')
parser.add_argument(
'--mode',
choices=['all', 'critical', 'unit'],
default='critical',
help='测试模式: all(全部), critical(关键路径), unit(单元测试)'
)
args = parser.parse_args()
if args.mode == 'all':
exit_code = run_all_tests()
elif args.mode == 'critical':
exit_code = run_critical_path_tests()
else: # unit
test_modules = [
'test_intent_classifier',
'test_rule_checker',
'test_history_manager',
]
workspace_path = Path(__file__).parent.parent / "workspace"
output_dir = workspace_path / "test_reports"
summary = run_test_suite(test_modules, output_dir)
exit_code = 0 if summary['failed'] == 0 and summary['errors'] == 0 else 1
sys.exit(exit_code)

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"""
安全回归测试矩阵
专注于安全相关的回归场景
"""
import unittest
import sys
import tempfile
import shutil
from pathlib import Path
from unittest.mock import Mock, patch, MagicMock
# 添加项目根目录到路径
sys.path.insert(0, str(Path(__file__).parent.parent))
from safety.rule_checker import RuleChecker, RuleCheckResult
from safety.llm_reviewer import LLMReviewer, LLMReviewResult
from history.manager import HistoryManager
from intent.labels import EXECUTION
class TestSecurityRegressionMatrix(unittest.TestCase):
"""
安全回归测试矩阵
覆盖所有已知的安全风险场景
"""
def setUp(self):
"""创建测试环境"""
self.checker = RuleChecker()
# ========== 硬性禁止回归测试 ==========
def test_regression_network_operations(self):
"""回归测试:网络操作必须被拦截"""
test_cases = [
("import socket\ns = socket.socket()", "socket模块"),
("import requests\nrequests.get('http://example.com')", "requests模块"),
("import urllib\nurllib.request.urlopen('http://example.com')", "urllib模块"),
("import http.client\nconn = http.client.HTTPConnection('example.com')", "http.client模块"),
]
for code, description in test_cases:
with self.subTest(description=description):
result = self.checker.check(code)
# requests 是警告,其他是硬性拦截
if 'requests' in code:
self.assertTrue(result.passed, f"{description}应该通过但产生警告")
self.assertTrue(len(result.warnings) > 0, f"{description}应该产生警告")
else:
self.assertFalse(result.passed, f"{description}必须被拦截")
def test_regression_command_execution(self):
"""回归测试:命令执行必须被拦截"""
test_cases = [
("import subprocess\nsubprocess.run(['ls'])", "subprocess.run"),
("import subprocess\nsubprocess.Popen(['dir'])", "subprocess.Popen"),
("import subprocess\nsubprocess.call(['echo', 'test'])", "subprocess.call"),
("import os\nos.system('dir')", "os.system"),
("import os\nos.popen('ls')", "os.popen"),
("eval('1+1')", "eval函数"),
("exec('print(1)')", "exec函数"),
("__import__('os').system('ls')", "__import__动态导入"),
]
for code, description in test_cases:
with self.subTest(description=description):
result = self.checker.check(code)
self.assertFalse(result.passed, f"{description}必须被拦截")
self.assertTrue(len(result.violations) > 0, f"{description}必须产生违规记录")
def test_regression_file_system_warnings(self):
"""回归测试:危险文件操作产生警告"""
test_cases = [
("import os\nos.remove('file.txt')", "os.remove"),
("import os\nos.unlink('file.txt')", "os.unlink"),
("import shutil\nshutil.rmtree('folder')", "shutil.rmtree"),
("from pathlib import Path\nPath('file.txt').unlink()", "Path.unlink"),
]
for code, description in test_cases:
with self.subTest(description=description):
result = self.checker.check(code)
self.assertTrue(result.passed, f"{description}应该通过检查")
self.assertTrue(len(result.warnings) > 0, f"{description}应该产生警告")
def test_regression_safe_operations(self):
"""回归测试:安全操作不应被误拦截"""
safe_codes = [
# 文件复制
"""
import shutil
from pathlib import Path
INPUT_DIR = Path('workspace/input')
OUTPUT_DIR = Path('workspace/output')
for f in INPUT_DIR.glob('*.txt'):
shutil.copy(f, OUTPUT_DIR / f.name)
""",
# 图片处理
"""
from PIL import Image
from pathlib import Path
INPUT_DIR = Path('workspace/input')
OUTPUT_DIR = Path('workspace/output')
for img_path in INPUT_DIR.glob('*.png'):
img = Image.open(img_path)
img = img.resize((100, 100))
img.save(OUTPUT_DIR / img_path.name)
""",
# Excel处理
"""
import openpyxl
from pathlib import Path
INPUT_DIR = Path('workspace/input')
OUTPUT_DIR = Path('workspace/output')
for xlsx_path in INPUT_DIR.glob('*.xlsx'):
wb = openpyxl.load_workbook(xlsx_path)
ws = wb.active
ws['A1'] = 'Modified'
wb.save(OUTPUT_DIR / xlsx_path.name)
""",
# JSON处理
"""
import json
from pathlib import Path
INPUT_DIR = Path('workspace/input')
OUTPUT_DIR = Path('workspace/output')
for json_path in INPUT_DIR.glob('*.json'):
with open(json_path, 'r', encoding='utf-8') as f:
data = json.load(f)
data['processed'] = True
with open(OUTPUT_DIR / json_path.name, 'w', encoding='utf-8') as f:
json.dump(data, f, ensure_ascii=False, indent=2)
""",
]
for i, code in enumerate(safe_codes):
with self.subTest(case=f"安全代码{i+1}"):
result = self.checker.check(code)
self.assertTrue(result.passed, f"安全代码{i+1}不应被拦截")
self.assertEqual(len(result.violations), 0, f"安全代码{i+1}不应有违规")
class TestLLMReviewerRegression(unittest.TestCase):
"""
LLM审查器回归测试
验证软规则审查的稳定性
"""
def setUp(self):
"""创建测试环境"""
self.reviewer = LLMReviewer()
def test_llm_review_response_parsing(self):
"""测试LLM响应解析的鲁棒性"""
test_cases = [
# 标准JSON格式
('{"pass": true, "reason": "代码安全"}', True),
('{"pass": false, "reason": "存在风险"}', False),
# 带代码块的JSON
('```json\n{"pass": true, "reason": "安全"}\n```', True),
('```\n{"pass": false, "reason": "危险"}\n```', False),
# 带前缀文本
('分析结果如下:{"pass": true, "reason": "通过"}', True),
# 字符串形式的布尔值
('{"pass": "true", "reason": "安全"}', True),
('{"pass": "false", "reason": "危险"}', False),
# 无效JSON应该保守判定为不通过
('这不是JSON', False),
('{"incomplete": true', False),
]
for response, expected_pass in test_cases:
with self.subTest(response=response[:30]):
result = self.reviewer._parse_response(response)
self.assertEqual(result.passed, expected_pass,
f"响应 '{response[:30]}...' 解析错误")
@patch('llm.client.get_client')
def test_llm_review_failure_handling(self, mock_get_client):
"""测试LLM调用失败时的降级处理"""
# Mock LLM客户端抛出异常
mock_client = MagicMock()
mock_client.chat.side_effect = Exception("API调用失败")
mock_get_client.return_value = mock_client
# 执行审查
result = self.reviewer.review(
user_input="测试任务",
execution_plan="测试计划",
code="print('test')",
warnings=[]
)
# 验证:失败时应保守判定为不通过
self.assertFalse(result.passed, "LLM调用失败时应拒绝执行")
self.assertIn("失败", result.reason, "应包含失败原因")
@patch('llm.client.get_client')
def test_llm_review_with_warnings(self, mock_get_client):
"""测试带警告的LLM审查"""
# Mock LLM客户端
mock_client = MagicMock()
mock_client.chat.return_value = '{"pass": true, "reason": "警告已审查,风险可控"}'
mock_get_client.return_value = mock_client
# 执行审查(带警告)
warnings = ["使用了 os.remove", "使用了 requests"]
result = self.reviewer.review(
user_input="删除文件并上传",
execution_plan="删除本地文件后上传到服务器",
code="import os\nimport requests\nos.remove('file.txt')\nrequests.post('http://api.example.com')",
warnings=warnings
)
# 验证:调用参数应包含警告信息
call_args = mock_client.chat.call_args
messages = call_args[1]['messages']
user_message = messages[1]['content']
self.assertIn("静态检查警告", user_message, "应传递警告信息给LLM")
self.assertIn("os.remove", user_message, "应包含具体警告内容")
class TestHistoryReuseSecurityRegression(unittest.TestCase):
"""
历史复用安全回归测试
确保复用流程不会绕过安全检查
"""
def setUp(self):
"""创建测试环境"""
self.temp_dir = Path(tempfile.mkdtemp())
self.history = HistoryManager(self.temp_dir)
self.checker = RuleChecker()
def tearDown(self):
"""清理测试环境"""
shutil.rmtree(self.temp_dir, ignore_errors=True)
def test_reuse_security_bypass_prevention(self):
"""测试:防止通过复用绕过安全检查"""
# 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
# 1. 添加历史记录(模拟旧版本允许的代码)
old_dangerous_code = """
import socket
# 旧版本可能允许的网络操作
s = socket.socket()
"""
self.history.add_record(
task_id="old_task_001",
user_input="建立网络连接",
intent_label=EXECUTION,
intent_confidence=0.9,
execution_plan="创建socket连接",
code=old_dangerous_code,
success=True, # 历史上标记为成功
duration_ms=100
)
# 2. 尝试复用
result = self.history.find_similar_success("创建网络连接", return_details=True)
self.assertIsNotNone(result)
similar_record, _, _ = result
# 3. 强制安全复检(关键步骤)
recheck_result = self.checker.check(similar_record.code)
# 4. 验证:必须被当前规则拦截
self.assertFalse(recheck_result.passed,
"历史代码复用时必须被当前安全规则拦截")
self.assertTrue(any('socket' in v for v in recheck_result.violations),
"必须检测到socket违规")
def test_reuse_with_modified_dangerous_code(self):
"""测试:复用后修改为危险代码的检测"""
# 1. 添加安全的历史记录
safe_code = """
import shutil
from pathlib import Path
INPUT_DIR = Path('workspace/input')
OUTPUT_DIR = Path('workspace/output')
for f in INPUT_DIR.glob('*.txt'):
shutil.copy(f, OUTPUT_DIR / f.name)
"""
self.history.add_record(
task_id="safe_task_001",
user_input="复制文件",
intent_label=EXECUTION,
intent_confidence=0.95,
execution_plan="复制txt文件",
code=safe_code,
success=True,
duration_ms=100
)
# 2. 模拟用户修改代码(添加危险操作)
modified_dangerous_code = safe_code + """
# 用户添加的危险操作
import subprocess
subprocess.run(['dir'], shell=True)
"""
# 3. 安全检查修改后的代码
check_result = self.checker.check(modified_dangerous_code)
# 4. 验证:必须检测到新增的危险操作
self.assertFalse(check_result.passed, "修改后的危险代码必须被拦截")
self.assertTrue(any('subprocess' in v for v in check_result.violations))
def test_reuse_multiple_security_layers(self):
"""测试:复用时的多层安全检查"""
# 1. 添加包含警告操作的历史记录
warning_code = """
import os
import shutil
from pathlib import Path
INPUT_DIR = Path('workspace/input')
OUTPUT_DIR = Path('workspace/output')
# 先删除旧文件
for f in OUTPUT_DIR.glob('*.txt'):
os.remove(f)
# 再复制新文件
for f in INPUT_DIR.glob('*.txt'):
shutil.copy(f, OUTPUT_DIR / f.name)
"""
self.history.add_record(
task_id="warning_task_001",
user_input="清空并复制文件",
intent_label=EXECUTION,
intent_confidence=0.9,
execution_plan="删除旧文件并复制新文件",
code=warning_code,
success=True,
duration_ms=150
)
# 2. 复用并进行安全检查
result = self.history.find_similar_success("清空目录并复制", return_details=True)
similar_record, _, _ = result
# 3. 第一层:硬规则检查
rule_result = self.checker.check(similar_record.code)
self.assertTrue(rule_result.passed, "应该通过硬规则检查")
self.assertTrue(len(rule_result.warnings) > 0, "应该产生警告")
# 4. 第二层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": "删除操作在workspace内风险可控"}'
mock_get_client.return_value = mock_client
reviewer = LLMReviewer()
llm_result = reviewer.review(
user_input=similar_record.user_input,
execution_plan=similar_record.execution_plan,
code=similar_record.code,
warnings=rule_result.warnings
)
# 验证LLM收到了警告信息
call_args = mock_client.chat.call_args
messages = call_args[1]['messages']
user_message = messages[1]['content']
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()
metrics1.add_reuse_recheck()
metrics1.add_reuse_block()
# 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)

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"""
任务特征提取与匹配的测试用例
"""
import sys
from pathlib import Path
# 添加项目根目录到路径
project_root = Path(__file__).parent.parent
sys.path.insert(0, str(project_root))
from history.task_features import TaskFeatureExtractor, TaskMatcher
def test_feature_extraction():
"""测试特征提取"""
print("=" * 60)
print("测试 1: 特征提取")
print("=" * 60)
extractor = TaskFeatureExtractor()
# 测试用例 1
input1 = "将 D:/photos 目录下的所有 .jpg 图片按日期重命名"
features1 = extractor.extract(input1)
print(f"\n输入: {input1}")
print(f"文件格式: {features1.file_formats}")
print(f"目录路径: {features1.directory_paths}")
print(f"命名规则: {features1.naming_patterns}")
print(f"操作类型: {features1.operations}")
print(f"数量信息: {features1.quantities}")
# 测试用例 2
input2 = "批量转换 C:/documents 下的 100 个 .docx 文件为 .pdf"
features2 = extractor.extract(input2)
print(f"\n输入: {input2}")
print(f"文件格式: {features2.file_formats}")
print(f"目录路径: {features2.directory_paths}")
print(f"命名规则: {features2.naming_patterns}")
print(f"操作类型: {features2.operations}")
print(f"数量信息: {features2.quantities}")
def test_similarity_matching():
"""测试相似度匹配"""
print("\n" + "=" * 60)
print("测试 2: 相似度匹配")
print("=" * 60)
matcher = TaskMatcher()
# 测试场景 1: 高度相似(仅目录不同)
print("\n场景 1: 高度相似任务(仅目录不同)")
current1 = "将 D:/photos 目录下的所有 .jpg 图片按日期重命名"
history1 = "将 C:/images 目录下的所有 .jpg 图片按日期重命名"
score1, diffs1 = matcher.calculate_similarity(current1, history1)
print(f"当前任务: {current1}")
print(f"历史任务: {history1}")
print(f"相似度: {score1:.2%}")
print(f"差异数量: {len(diffs1)}")
for diff in diffs1:
print(f" - {diff.category} [{diff.importance}]: 当前={diff.current_value}, 历史={diff.history_value}")
# 测试场景 2: 中等相似(格式和操作不同)
print("\n场景 2: 中等相似任务(格式和操作不同)")
current2 = "将 D:/photos 目录下的所有 .jpg 图片转换为 .png"
history2 = "将 D:/photos 目录下的所有 .jpg 图片按日期重命名"
score2, diffs2 = matcher.calculate_similarity(current2, history2)
print(f"当前任务: {current2}")
print(f"历史任务: {history2}")
print(f"相似度: {score2:.2%}")
print(f"差异数量: {len(diffs2)}")
for diff in diffs2:
print(f" - {diff.category} [{diff.importance}]: 当前={diff.current_value}, 历史={diff.history_value}")
# 测试场景 3: 低相似度(完全不同的任务)
print("\n场景 3: 低相似度任务(完全不同)")
current3 = "将 D:/photos 目录下的所有 .jpg 图片按日期重命名"
history3 = "统计 C:/documents 下所有 .txt 文件的行数"
score3, diffs3 = matcher.calculate_similarity(current3, history3)
print(f"当前任务: {current3}")
print(f"历史任务: {history3}")
print(f"相似度: {score3:.2%}")
print(f"差异数量: {len(diffs3)}")
for diff in diffs3:
print(f" - {diff.category} [{diff.importance}]: 当前={diff.current_value}, 历史={diff.history_value}")
# 测试场景 4: 关键参数差异(数量不同)
print("\n场景 4: 关键参数差异(数量不同)")
current4 = "批量转换 100 个 .docx 文件为 .pdf"
history4 = "批量转换所有 .docx 文件为 .pdf"
score4, diffs4 = matcher.calculate_similarity(current4, history4)
print(f"当前任务: {current4}")
print(f"历史任务: {history4}")
print(f"相似度: {score4:.2%}")
print(f"差异数量: {len(diffs4)}")
for diff in diffs4:
print(f" - {diff.category} [{diff.importance}]: 当前={diff.current_value}, 历史={diff.history_value}")
def test_edge_cases():
"""测试边界情况"""
print("\n" + "=" * 60)
print("测试 3: 边界情况")
print("=" * 60)
matcher = TaskMatcher()
# 空输入
print("\n边界 1: 空输入")
score, diffs = matcher.calculate_similarity("", "")
print(f"相似度: {score:.2%}, 差异数: {len(diffs)}")
# 完全相同
print("\n边界 2: 完全相同")
same_input = "将 D:/photos 目录下的所有 .jpg 图片按日期重命名"
score, diffs = matcher.calculate_similarity(same_input, same_input)
print(f"相似度: {score:.2%}, 差异数: {len(diffs)}")
# 仅标点不同
print("\n边界 3: 仅标点不同")
input_a = "将D:/photos目录下的所有.jpg图片按日期重命名"
input_b = "将 D:/photos 目录下的所有 .jpg 图片按日期重命名"
score, diffs = matcher.calculate_similarity(input_a, input_b)
print(f"相似度: {score:.2%}, 差异数: {len(diffs)}")
if __name__ == "__main__":
test_feature_extraction()
test_similarity_matching()
test_edge_cases()
print("\n" + "=" * 60)
print("所有测试完成!")
print("=" * 60)

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tests/verify_tests.py Normal file
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"""
快速验证脚本
验证新增测试的基本功能
"""
import sys
import io
from pathlib import Path
# 设置标准输出编码为UTF-8
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8')
# 添加项目根目录到路径
sys.path.insert(0, str(Path(__file__).parent.parent))
def test_imports():
"""测试所有测试模块是否可以正常导入"""
print("=" * 70)
print("测试模块导入验证")
print("=" * 70)
modules = [
'tests.test_e2e_integration',
'tests.test_security_regression',
'tests.test_runner',
]
success_count = 0
failed_modules = []
for module_name in modules:
try:
__import__(module_name)
print(f"{module_name} - 导入成功")
success_count += 1
except Exception as e:
print(f"{module_name} - 导入失败: {e}")
failed_modules.append((module_name, str(e)))
print(f"\n导入结果: {success_count}/{len(modules)} 成功")
if failed_modules:
print("\n失败详情:")
for module, error in failed_modules:
print(f" - {module}: {error}")
return False
return True
def test_test_classes():
"""测试关键测试类是否存在"""
print("\n" + "=" * 70)
print("测试类验证")
print("=" * 70)
test_classes = [
('tests.test_e2e_integration', 'TestCodeReuseSecurityRegression'),
('tests.test_e2e_integration', 'TestConfigHotReloadRegression'),
('tests.test_e2e_integration', 'TestExecutionResultThreeStateRegression'),
('tests.test_security_regression', 'TestSecurityRegressionMatrix'),
('tests.test_security_regression', 'TestLLMReviewerRegression'),
('tests.test_security_regression', 'TestCriticalPathCoverage'),
]
success_count = 0
for module_name, class_name in test_classes:
try:
module = __import__(module_name, fromlist=[class_name])
test_class = getattr(module, class_name)
print(f"{module_name}.{class_name} - 存在")
success_count += 1
except Exception as e:
print(f"{module_name}.{class_name} - 不存在: {e}")
print(f"\n验证结果: {success_count}/{len(test_classes)} 成功")
return success_count == len(test_classes)
def test_runner_functionality():
"""测试测试运行器的基本功能"""
print("\n" + "=" * 70)
print("测试运行器功能验证")
print("=" * 70)
try:
from tests.test_runner import TestMetricsCollector
# 创建指标收集器
collector = TestMetricsCollector()
print("✅ TestMetricsCollector 创建成功")
# 测试摘要生成
summary = collector.get_summary()
print("✅ 摘要生成功能正常")
# 验证摘要字段
required_fields = ['total_tests', 'passed', 'failed', 'errors', 'skipped', 'success_rate']
for field in required_fields:
if field in summary:
print(f" ✅ 摘要包含字段: {field}")
else:
print(f" ❌ 摘要缺少字段: {field}")
return False
return True
except Exception as e:
print(f"❌ 测试运行器验证失败: {e}")
return False
def count_test_methods():
"""统计测试方法数量"""
print("\n" + "=" * 70)
print("测试方法统计")
print("=" * 70)
import unittest
modules = [
'tests.test_e2e_integration',
'tests.test_security_regression',
]
total_tests = 0
for module_name in modules:
try:
module = __import__(module_name, fromlist=[''])
loader = unittest.TestLoader()
suite = loader.loadTestsFromModule(module)
count = suite.countTestCases()
print(f"📊 {module_name}: {count} 个测试方法")
total_tests += count
except Exception as e:
print(f"{module_name}: 统计失败 - {e}")
print(f"\n总计: {total_tests} 个测试方法")
return total_tests
def main():
"""主函数"""
print("\n" + "=" * 70)
print("LocalAgent 测试验证工具")
print("=" * 70 + "\n")
results = []
# 1. 测试导入
results.append(("模块导入", test_imports()))
# 2. 测试类验证
results.append(("测试类验证", test_test_classes()))
# 3. 测试运行器功能
results.append(("测试运行器", test_runner_functionality()))
# 4. 统计测试方法
test_count = count_test_methods()
# 总结
print("\n" + "=" * 70)
print("验证总结")
print("=" * 70)
for name, result in results:
status = "✅ 通过" if result else "❌ 失败"
print(f"{name}: {status}")
all_passed = all(result for _, result in results)
if all_passed:
print(f"\n🎉 所有验证通过!共 {test_count} 个测试方法可用。")
print("\n下一步:")
print(" 1. 运行关键路径测试: python tests/test_runner.py --mode critical")
print(" 2. 运行所有测试: python tests/test_runner.py --mode all")
print(" 3. 使用批处理脚本: run_tests.bat")
return 0
else:
print("\n⚠️ 部分验证失败,请检查错误信息。")
return 1
if __name__ == '__main__':
exit_code = main()
sys.exit(exit_code)