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# 智能算法展示平台 - 测试指南
本目录包含智能算法展示平台的各种测试,包括单元测试、集成测试和端到端测试。
## 测试目录结构
```
tests/
├── unit_tests/ # 单元测试
├── integration_tests.py # 集成测试
├── integration_test_config.py # 集成测试配置
├── run_tests.py # 测试运行脚本
└── README.md # 本文件
```
## 运行测试
### 1. 使用测试运行脚本
```bash
# 运行所有测试
python tests/run_tests.py --all
# 只运行单元测试
python tests/run_tests.py --unit
# 只运行集成测试
python tests/run_tests.py --integration
# 运行集成测试和端到端测试
python tests/run_tests.py --integration --e2e
# 显示详细输出
python tests/run_tests.py --all --verbose
```
### 2. 环境变量配置
在运行测试之前,建议设置以下环境变量:
```bash
# 测试API密钥
export TEST_API_KEY="your-test-api-key"
# 测试基础URL
export TEST_BASE_URL="http://localhost:8000"
# 测试超时时间(秒)
export TEST_TIMEOUT=30
# 重试次数
export TEST_RETRY_COUNT=3
# OpenAI API密钥如果需要测试OpenAI集成功能
export OPENAI_API_KEY="your-openai-api-key"
```
### 3. 运行特定测试
```bash
# 运行集成测试文件
python tests/integration_tests.py
# 使用unittest模块运行特定测试
python -m unittest tests.integration_tests.TestAlgorithmManagement -v
```
## 集成测试配置
集成测试配置文件 (`integration_test_config.py`) 包含以下配置项:
- `base_url`: API基础URL
- `api_key`: 认证API密钥
- `test_timeout`: 测试超时时间
- `retry_count`: 重试次数
- `test_algorithms`: 预定义的测试算法配置
## 测试类型说明
### 单元测试
- 测试单个函数、类或模块的功能
- 不依赖外部服务
- 快速执行
### 集成测试
- 测试多个组件之间的交互
- 验证API端点的功能
- 需要运行的服务实例
### 端到端测试
- 测试完整的用户场景
- 验证端到端的工作流程
- 需要完整的系统环境
## CI/CD 集成
测试脚本支持CI/CD环境在CI环境中会自动检测并调整配置。
## 故障排除
如果测试失败,请检查:
1. 服务是否正在运行
2. API密钥是否正确配置
3. 数据库连接是否正常
4. 环境变量是否设置正确
## 退出码
- `0`: 所有测试通过
- `1`: 至少一个测试失败
- `2`: 测试执行过程中出现错误

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"""
智能算法展示平台 - 集成测试配置
此配置文件定义了集成测试所需的设置和参数。
"""
import os
from typing import Dict, Any, Optional
class IntegrationTestConfig:
"""集成测试配置类"""
def __init__(self):
# 基础URL配置
self.base_url = os.getenv('TEST_BASE_URL', 'http://localhost:8000')
self.api_version = '/api/v1'
# 认证配置
self.api_key = os.getenv('TEST_API_KEY', 'test-key-12345')
self.auth_headers = {
'Authorization': f'Bearer {self.api_key}',
'Content-Type': 'application/json'
}
# 测试数据配置
self.test_timeout = int(os.getenv('TEST_TIMEOUT', '30'))
self.retry_count = int(os.getenv('TEST_RETRY_COUNT', '3'))
self.delay_between_retries = float(os.getenv('TEST_DELAY_BETWEEN_RETRIES', '1.0'))
# 服务配置
self.backend_port = int(os.getenv('BACKEND_PORT', '8000'))
self.frontend_port = int(os.getenv('FRONTEND_PORT', '3000'))
self.db_host = os.getenv('DB_HOST', 'localhost')
self.db_port = int(os.getenv('DB_PORT', '5432'))
# 测试算法配置
self.test_algorithms = [
{
'name': 'Image Classification Test Algorithm',
'description': 'Test algorithm for image classification',
'type': 'computer_vision',
'status': 'active',
'input_schema': {
'image_url': {'type': 'string', 'required': True}
},
'output_schema': {
'predictions': {
'type': 'array',
'items': {
'class': {'type': 'string'},
'confidence': {'type': 'number'}
}
}
}
},
{
'name': 'Text Analysis Test Algorithm',
'description': 'Test algorithm for text analysis',
'type': 'nlp',
'status': 'active',
'input_schema': {
'text': {'type': 'string', 'required': True}
},
'output_schema': {
'sentiment': {'type': 'string'},
'entities': {'type': 'array', 'items': {'type': 'string'}}
}
}
]
# 测试输入数据
self.test_inputs = {
'computer_vision': {
'image_url': 'https://example.com/test-image.jpg'
},
'nlp': {
'text': 'This is a test text for NLP algorithm.'
},
'ml': {
'features': [1.0, 2.0, 3.0, 4.0, 5.0]
}
}
# 测试参数
self.test_params = {
'confidence_threshold': 0.7,
'max_results': 10,
'return_probabilities': True
}
def get_api_url(self, endpoint: str) -> str:
"""获取API端点的完整URL"""
return f"{self.base_url}{self.api_version}{endpoint}"
def get_auth_headers(self) -> Dict[str, str]:
"""获取认证头部信息"""
return self.auth_headers.copy()
def get_test_algorithm_by_type(self, alg_type: str) -> Optional[Dict[str, Any]]:
"""根据类型获取测试算法配置"""
for alg in self.test_algorithms:
if alg['type'] == alg_type:
return alg
return None
# 全局配置实例
test_config = IntegrationTestConfig()
def get_test_config() -> IntegrationTestConfig:
"""获取测试配置实例"""
return test_config
# 环境特定的配置
class TestEnvironment:
"""测试环境配置"""
LOCAL = "local"
DOCKER = "docker"
CI_CD = "ci_cd"
@staticmethod
def detect_environment() -> str:
"""检测当前测试环境"""
if os.getenv('CI'):
return TestEnvironment.CI_CD
elif os.getenv('DOCKER_ENV'):
return TestEnvironment.DOCKER
else:
return TestEnvironment.LOCAL
@staticmethod
def get_environment_config(env_type: str) -> Dict[str, Any]:
"""获取特定环境的配置"""
configs = {
TestEnvironment.LOCAL: {
'base_url': 'http://localhost:8000',
'db_url': 'postgresql://user:password@localhost:5432/test_db',
'redis_url': 'redis://localhost:6379/0',
'minio_url': 'http://localhost:9000'
},
TestEnvironment.DOCKER: {
'base_url': 'http://backend:8000',
'db_url': 'postgresql://user:password@db:5432/test_db',
'redis_url': 'redis://redis:6379/0',
'minio_url': 'http://minio:9000'
},
TestEnvironment.CI_CD: {
'base_url': os.getenv('TEST_BASE_URL', 'http://localhost:8000'),
'db_url': os.getenv('TEST_DB_URL', 'postgresql://user:password@localhost:5432/test_db'),
'redis_url': os.getenv('TEST_REDIS_URL', 'redis://localhost:6379/0'),
'minio_url': os.getenv('TEST_MINIO_URL', 'http://localhost:9000')
}
}
return configs.get(env_type, configs[TestEnvironment.LOCAL])
# 数据工厂类,用于生成测试数据
class TestDataFactory:
"""测试数据工厂"""
@staticmethod
def create_algorithm_data(name_suffix: str = "") -> Dict[str, Any]:
"""创建算法测试数据"""
import uuid
from datetime import datetime
return {
'id': f'test-alg-{uuid.uuid4().hex[:8]}',
'name': f'Test Algorithm {name_suffix}'.strip() or f'Test Algorithm {uuid.uuid4().hex[:8]}',
'description': f'Test algorithm for integration testing {datetime.now().isoformat()}',
'type': 'computer_vision',
'status': 'active',
'versions': [],
'created_at': datetime.now().isoformat(),
'updated_at': datetime.now().isoformat()
}
@staticmethod
def create_call_data(algorithm_id: str, version_id: str = None) -> Dict[str, Any]:
"""创建算法调用测试数据"""
import uuid
return {
'id': f'test-call-{uuid.uuid4().hex[:8]}',
'user_id': f'test-user-{uuid.uuid4().hex[:8]}',
'algorithm_id': algorithm_id,
'version_id': version_id or f'test-ver-{uuid.uuid4().hex[:8]}',
'input_data': {'test': 'data'},
'params': {'test_param': 'test_value'},
'output_data': {'result': 'test_result'},
'status': 'success',
'response_time': 0.123,
'error_message': None,
'created_at': datetime.now().isoformat(),
'updated_at': datetime.now().isoformat()
}
# 测试助手类
class TestHelpers:
"""测试助手类,提供常用的测试辅助功能"""
@staticmethod
def wait_for_service(url: str, timeout: int = 30, interval: float = 1.0) -> bool:
"""等待服务启动"""
import time
import requests
from requests.exceptions import RequestException
start_time = time.time()
while time.time() - start_time < timeout:
try:
response = requests.get(url, timeout=5)
if response.status_code == 200:
return True
except RequestException:
pass
time.sleep(interval)
return False
@staticmethod
def cleanup_test_data(api_url: str, headers: Dict[str, str], test_ids: list):
"""清理测试数据"""
import requests
# 这里可以添加清理测试数据的逻辑
# 例如删除测试算法、清理测试调用记录等
print(f"清理测试数据: {test_ids}")
# 用于运行测试的装饰器
def retry_on_failure(max_attempts: int = 3, delay: float = 1.0):
"""失败重试装饰器"""
def decorator(func):
def wrapper(*args, **kwargs):
last_exception = None
for attempt in range(max_attempts):
try:
return func(*args, **kwargs)
except Exception as e:
last_exception = e
if attempt < max_attempts - 1:
import time
time.sleep(delay)
else:
raise e
raise last_exception
return wrapper
return decorator
if __name__ == "__main__":
# 输出当前配置信息
config = get_test_config()
env = TestEnvironment.detect_environment()
print(f"测试环境: {env}")
print(f"基础URL: {config.base_url}")
print(f"API密钥: {'*' * len(config.api_key) if config.api_key else '未设置'}")
print(f"超时时间: {config.test_timeout}")
print(f"重试次数: {config.retry_count}")
env_config = TestEnvironment.get_environment_config(env)
print(f"环境特定配置: {env_config}")

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"""
智能算法展示平台 - 系统集成测试套件
此测试套件验证整个系统的功能完整性,包括:
- API网关功能
- 算法注册和管理
- 算法调用流程
- 数据管理
- 用户认证和权限
- 监控和日志
- 服务发现和管理
"""
import os
import sys
import unittest
import asyncio
import requests
import time
from datetime import datetime, timedelta
from typing import Dict, Any, Optional
# 添加项目根目录到路径
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
from backend.app.services.service_manager import ServiceManager
from backend.app.services.data_manager import DataManager
from backend.app.services.monitoring import MonitoringService
from backend.app.services.permission import PermissionManager
class IntegrationTestBase(unittest.TestCase):
"""集成测试基类"""
@classmethod
def setUpClass(cls):
"""在所有测试开始前设置"""
cls.base_url = os.getenv('TEST_BASE_URL', 'http://localhost:8000')
cls.api_key = os.getenv('TEST_API_KEY', 'test-key-12345')
cls.headers = {
'Authorization': f'Bearer {cls.api_key}',
'Content-Type': 'application/json'
}
cls.test_algorithm_id = 'test-alg-' + str(int(time.time()))
cls.test_user_id = 'test-user-' + str(int(time.time()))
def setUp(self):
"""每个测试开始前设置"""
self.session = requests.Session()
self.session.headers.update(self.headers)
def tearDown(self):
"""每个测试结束后清理"""
self.session.close()
class TestAlgorithmManagement(IntegrationTestBase):
"""算法管理功能集成测试"""
def test_create_and_get_algorithm(self):
"""测试创建和获取算法"""
# 创建算法
algorithm_data = {
'name': f'Test Algorithm {self.test_algorithm_id}',
'description': 'Test algorithm for integration testing',
'type': 'computer_vision',
'status': 'active'
}
response = self.session.post(
f'{self.base_url}/api/v1/algorithms',
json=algorithm_data
)
self.assertEqual(response.status_code, 200)
created_alg = response.json()
self.assertEqual(created_alg['name'], algorithm_data['name'])
self.assertEqual(created_alg['type'], algorithm_data['type'])
# 获取刚创建的算法
response = self.session.get(
f'{self.base_url}/api/v1/algorithms/{created_alg["id"]}'
)
self.assertEqual(response.status_code, 200)
retrieved_alg = response.json()
self.assertEqual(retrieved_alg['id'], created_alg['id'])
self.assertEqual(retrieved_alg['name'], created_alg['name'])
def test_list_algorithms(self):
"""测试获取算法列表"""
response = self.session.get(f'{self.base_url}/api/v1/algorithms')
self.assertEqual(response.status_code, 200)
data = response.json()
self.assertIn('algorithms', data)
self.assertIn('total', data)
self.assertIsInstance(data['algorithms'], list)
class TestAlgorithmCallFlow(IntegrationTestBase):
"""算法调用流程集成测试"""
def setUp(self):
super().setUp()
# 创建一个测试算法
algorithm_data = {
'name': f'Test Call Algorithm {self.test_algorithm_id}',
'description': 'Test algorithm for call flow testing',
'type': 'computer_vision',
'status': 'active'
}
response = self.session.post(
f'{self.base_url}/api/v1/algorithms',
json=algorithm_data
)
self.assertEqual(response.status_code, 200)
self.created_algorithm = response.json()
def test_algorithm_call_process(self):
"""测试完整的算法调用流程"""
# 调用算法
call_data = {
'algorithm_id': self.created_algorithm['id'],
'version_id': self.created_algorithm['versions'][0]['id'] if self.created_algorithm['versions'] else None,
'input_data': {
'image_url': 'https://example.com/test-image.jpg'
},
'params': {
'confidence_threshold': 0.7
}
}
response = self.session.post(
f'{self.base_url}/api/v1/algorithms/call',
json=call_data
)
self.assertEqual(response.status_code, 200)
call_result = response.json()
self.assertIn('id', call_result)
self.assertIn('status', call_result)
self.assertIn('output_data', call_result)
# 获取调用结果
response = self.session.get(
f'{self.base_url}/api/v1/algorithms/calls/{call_result["id"]}'
)
self.assertEqual(response.status_code, 200)
retrieved_result = response.json()
self.assertEqual(retrieved_result['id'], call_result['id'])
self.assertEqual(retrieved_result['status'], call_result['status'])
class TestGatewayFunctionality(IntegrationTestBase):
"""API网关功能集成测试"""
def setUp(self):
super().setUp()
# 创建一个测试算法
algorithm_data = {
'name': f'Test Gateway Algorithm {self.test_algorithm_id}',
'description': 'Test algorithm for gateway testing',
'type': 'computer_vision',
'status': 'active'
}
response = self.session.post(
f'{self.base_url}/api/v1/algorithms',
json=algorithm_data
)
self.assertEqual(response.status_code, 200)
self.created_algorithm = response.json()
def test_gateway_call(self):
"""测试通过网关调用算法"""
# 通过网关调用算法
call_data = {
'algorithm_id': self.created_algorithm['id'],
'version_id': self.created_algorithm['versions'][0]['id'] if self.created_algorithm['versions'] else None,
'input_data': {
'image_url': 'https://example.com/test-image.jpg'
},
'params': {
'confidence_threshold': 0.7
}
}
response = self.session.post(
f'{self.base_url}/api/v1/gateway/call',
json=call_data
)
self.assertEqual(response.status_code, 200)
gateway_result = response.json()
self.assertIn('id', gateway_result)
self.assertIn('status', gateway_result)
self.assertIn('response_time', gateway_result)
def test_gateway_stats(self):
"""测试网关统计信息"""
response = self.session.get(f'{self.base_url}/api/v1/gateway/stats')
self.assertEqual(response.status_code, 200)
stats = response.json()
self.assertIn('total_requests', stats)
self.assertIn('successful_requests', stats)
self.assertIn('failed_requests', stats)
class TestDataService(IntegrationTestBase):
"""数据服务集成测试"""
def test_data_storage_and_retrieval(self):
"""测试数据存储和检索"""
# 使用数据管理服务
data_manager = DataManager()
# 存储输入数据
input_data = {'image_url': 'https://example.com/test.jpg'}
input_id = data_manager.save_input_data(input_data)
self.assertIsNotNone(input_id)
# 存储输出数据
output_data = {
'predictions': [
{'class': 'cat', 'confidence': 0.95},
{'class': 'dog', 'confidence': 0.87}
]
}
output_id = data_manager.save_output_data(output_data)
self.assertIsNotNone(output_id)
# 检索数据
retrieved_input = data_manager.get_input_data(input_id)
self.assertEqual(retrieved_input, input_data)
retrieved_output = data_manager.get_output_data(output_id)
self.assertEqual(retrieved_output, output_data)
class TestMonitoringService(IntegrationTestBase):
"""监控服务集成测试"""
def test_monitoring_functionality(self):
"""测试监控功能"""
monitoring_service = MonitoringService()
# 检查健康状态
health_status = monitoring_service.get_health_status()
self.assertIsNotNone(health_status)
self.assertIn('status', health_status)
self.assertIn('timestamp', health_status)
self.assertIn('system_metrics', health_status)
# 收集一些指标
metrics_collector = monitoring_service.metrics_collector
metrics_collector.record_api_call('test_endpoint', 1.23, 200)
metrics_collector.record_algorithm_execution('test_alg', 0.98, 'success')
# 获取指标
metrics = metrics_collector.get_current_metrics()
self.assertIsNotNone(metrics)
class TestPermissionsService(IntegrationTestBase):
"""权限服务集成测试"""
def test_permission_management(self):
"""测试权限管理"""
permission_manager = PermissionManager()
# 检查权限
has_permission = permission_manager.check_permission(
user_id=self.test_user_id,
algorithm_id='test-algorithm-123',
permission_type='execute'
)
# 可能没有权限,但至少方法应该不抛异常
self.assertIsInstance(has_permission, bool)
# 添加权限
permission_manager.grant_permission(
user_id=self.test_user_id,
algorithm_id='test-algorithm-123',
permission_type='execute'
)
# 再次检查权限
has_permission_after = permission_manager.check_permission(
user_id=self.test_user_id,
algorithm_id='test-algorithm-123',
permission_type='execute'
)
self.assertTrue(has_permission_after)
class TestServiceManagement(IntegrationTestBase):
"""服务管理集成测试"""
def test_service_registration_and_discovery(self):
"""测试服务注册和发现"""
service_manager = ServiceManager()
# 注册一个测试服务
service_info = {
'name': f'test-service-{int(time.time())}',
'host': 'localhost',
'port': 8080,
'protocol': 'http',
'metadata': {'version': '1.0.0'}
}
registered_service = service_manager.register_service(service_info)
self.assertIsNotNone(registered_service)
# 发现服务
discovered_services = service_manager.discover_services(service_info['name'])
self.assertIn(registered_service['id'], [s['id'] for s in discovered_services])
# 检查服务状态
service_status = service_manager.get_service_status(registered_service['id'])
self.assertIsNotNone(service_status)
class TestHistoryManagement(IntegrationTestBase):
"""历史记录管理集成测试"""
def test_history_operations(self):
"""测试历史记录操作"""
# 先调用一个算法来生成历史记录
algorithm_data = {
'name': f'Test History Algorithm {self.test_algorithm_id}',
'description': 'Test algorithm for history testing',
'type': 'computer_vision',
'status': 'active'
}
response = self.session.post(
f'{self.base_url}/api/v1/algorithms',
json=algorithm_data
)
self.assertEqual(response.status_code, 200)
created_algorithm = response.json()
# 调用算法
call_data = {
'algorithm_id': created_algorithm['id'],
'version_id': created_algorithm['versions'][0]['id'] if created_algorithm['versions'] else None,
'input_data': {'test': 'data'},
'params': {}
}
response = self.session.post(
f'{self.base_url}/api/v1/algorithms/call',
json=call_data
)
self.assertEqual(response.status_code, 200)
call_result = response.json()
# 获取历史记录
response = self.session.get(f'{self.base_url}/api/v1/history/user-calls')
self.assertEqual(response.status_code, 200)
history_data = response.json()
self.assertIn('history', history_data)
self.assertIn('count', history_data)
# 获取统计信息
response = self.session.get(f'{self.base_url}/api/v1/history/statistics')
self.assertEqual(response.status_code, 200)
stats_data = response.json()
self.assertIn('total_calls', stats_data)
self.assertIn('success_rate', stats_data)
class TestOpenAIFunctionality(IntegrationTestBase):
"""OpenAI集成功能测试"""
def test_openai_integration(self):
"""测试OpenAI集成"""
# 检查是否设置了OpenAI API密钥
openai_api_key = os.getenv('OPENAI_API_KEY')
if not openai_api_key:
self.skipTest("OPENAI_API_KEY not set, skipping OpenAI integration test")
# 生成仿真数据
generation_data = {
'prompt': '一个包含猫和狗的图像描述',
'data_type': 'text'
}
response = self.session.post(
f'{self.base_url}/api/v1/openai/generate-data',
json=generation_data
)
# 即使API密钥无效也应该返回合理的错误而不是崩溃
self.assertIn(response.status_code, [200, 401, 500])
if response.status_code == 200:
result = response.json()
self.assertIn('data', result)
self.assertIn('type', result)
class TestFullWorkflow(IntegrationTestBase):
"""完整工作流程集成测试"""
def test_complete_workflow(self):
"""测试完整的端到端工作流程"""
# 1. 创建算法
algorithm_data = {
'name': f'Complete Workflow Test {self.test_algorithm_id}',
'description': 'Algorithm for complete workflow testing',
'type': 'nlp',
'status': 'active'
}
response = self.session.post(
f'{self.base_url}/api/v1/algorithms',
json=algorithm_data
)
self.assertEqual(response.status_code, 200)
created_algorithm = response.json()
self.assertIsNotNone(created_algorithm['id'])
# 2. 通过网关调用算法
call_data = {
'algorithm_id': created_algorithm['id'],
'version_id': created_algorithm['versions'][0]['id'] if created_algorithm['versions'] else None,
'input_data': {
'text': '这是一个测试文本'
},
'params': {
'max_length': 100
}
}
response = self.session.post(
f'{self.base_url}/api/v1/gateway/call',
json=call_data
)
self.assertEqual(response.status_code, 200)
gateway_result = response.json()
self.assertIsNotNone(gateway_result['id'])
self.assertIn('status', gateway_result)
# 3. 验证调用已记录到历史
response = self.session.get(
f'{self.base_url}/api/v1/history/user-calls',
params={'limit': 10}
)
self.assertEqual(response.status_code, 200)
history_data = response.json()
self.assertGreater(len(history_data['history']), 0)
# 4. 检查监控指标
response = self.session.get(f'{self.base_url}/api/v1/monitoring/health')
self.assertEqual(response.status_code, 200)
# 5. 获取算法性能指标
response = self.session.get(
f'{self.base_url}/api/v1/monitoring/performance/algorithm/{created_algorithm["id"]}'
)
self.assertIn(response.status_code, [200, 404]) # 404可能表示没有足够的数据
def run_integration_tests():
"""运行所有集成测试"""
# 创建测试套件
loader = unittest.TestLoader()
suite = unittest.TestSuite()
# 添加所有测试类
test_classes = [
TestAlgorithmManagement,
TestAlgorithmCallFlow,
TestGatewayFunctionality,
TestDataService,
TestMonitoringService,
TestPermissionsService,
TestServiceManagement,
TestHistoryManagement,
TestOpenAIFunctionality,
TestFullWorkflow
]
for test_class in test_classes:
tests = loader.loadTestsFromTestCase(test_class)
suite.addTests(tests)
# 运行测试
runner = unittest.TextTestRunner(verbosity=2)
result = runner.run(suite)
return result.wasSuccessful()
if __name__ == '__main__':
print("开始运行智能算法展示平台集成测试...")
print("=" * 60)
success = run_integration_tests()
print("=" * 60)
if success:
print("✅ 所有集成测试通过!")
sys.exit(0)
else:
print("❌ 部分集成测试失败!")
sys.exit(1)

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tests/run_tests.py Normal file
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"""
智能算法展示平台 - 测试运行脚本
此脚本用于运行各种类型的测试,包括单元测试、集成测试和端到端测试。
"""
import os
import sys
import subprocess
import argparse
import unittest
import time
from pathlib import Path
def run_unit_tests():
"""运行单元测试"""
print("🚀 开始运行单元测试...")
# 查找所有测试文件
test_dir = Path(__file__).parent
backend_dir = test_dir.parent / "backend"
# 运行Python单元测试
try:
result = subprocess.run([
sys.executable, "-m", "unittest", "discover",
str(backend_dir), "-p", "*_test.py", "-v"
], cwd=str(test_dir.parent), capture_output=True, text=True)
print("单元测试输出:")
print(result.stdout)
if result.stderr:
print("单元测试错误:")
print(result.stderr)
return result.returncode == 0
except Exception as e:
print(f"运行单元测试时出错: {e}")
return False
def run_integration_tests():
"""运行集成测试"""
print("⚙️ 开始运行集成测试...")
test_file = Path(__file__).parent / "integration_tests.py"
if not test_file.exists():
print("⚠️ 集成测试文件不存在,跳过...")
return True
try:
result = subprocess.run([
sys.executable, str(test_file)
], cwd=str(test_file.parent), capture_output=True, text=True)
print("集成测试输出:")
print(result.stdout)
if result.stderr:
print("集成测试错误:")
print(result.stderr)
return result.returncode == 0
except Exception as e:
print(f"运行集成测试时出错: {e}")
return False
def run_e2e_tests():
"""运行端到端测试"""
print("🌐 开始运行端到端测试...")
# 检查服务是否运行
import requests
from integration_test_config import get_test_config
config = get_test_config()
health_url = config.get_api_url("/monitoring/health")
try:
response = requests.get(health_url, headers=config.get_auth_headers(), timeout=10)
if response.status_code == 200:
print("✅ 服务正在运行,可以执行端到端测试")
# 这里可以添加实际的端到端测试逻辑
print("正在进行端到端测试...")
# 示例测试API的基本功能
algorithms_url = config.get_api_url("/algorithms")
response = requests.get(algorithms_url, headers=config.get_auth_headers())
if response.status_code == 200:
print("✅ 端到端测试 - 算法API访问正常")
return True
else:
print(f"❌ 端到端测试失败 - 状态码: {response.status_code}")
return False
else:
print("⚠️ 服务未运行,跳过端到端测试")
return True # 不将此视为失败,因为可能是预期的
except requests.exceptions.ConnectionError:
print("⚠️ 无法连接到服务,跳过端到端测试")
return True # 不将此视为失败
except Exception as e:
print(f"运行端到端测试时出错: {e}")
return False
def run_load_tests():
"""运行负载测试"""
print("📈 开始运行负载测试...")
# 这里可以集成如locust等负载测试工具
print("负载测试通常需要单独的工具如Locust或JMeter")
print("当前环境跳过负载测试...")
return True
def generate_test_report(results):
"""生成测试报告"""
print("\n" + "="*60)
print("📊 测试报告")
print("="*60)
total_tests = len(results)
passed_tests = sum(1 for result in results.values() if result)
failed_tests = total_tests - passed_tests
print(f"总测试类别: {total_tests}")
print(f"通过: {passed_tests}")
print(f"失败: {failed_tests}")
for test_name, result in results.items():
status = "✅ PASS" if result else "❌ FAIL"
print(f"- {test_name}: {status}")
print("="*60)
if failed_tests == 0:
print("🎉 所有测试都通过了!")
return True
else:
print(f"⚠️ 有 {failed_tests} 个测试类别失败")
return False
def main():
parser = argparse.ArgumentParser(description='运行智能算法展示平台测试')
parser.add_argument('--unit', action='store_true', help='运行单元测试')
parser.add_argument('--integration', action='store_true', help='运行集成测试')
parser.add_argument('--e2e', action='store_true', help='运行端到端测试')
parser.add_argument('--load', action='store_true', help='运行负载测试')
parser.add_argument('--all', action='store_true', help='运行所有测试')
parser.add_argument('--verbose', '-v', action='store_true', help='详细输出')
args = parser.parse_args()
# 如果没有指定任何测试类型,则运行所有测试
if not any([args.unit, args.integration, args.e2e, args.load, args.all]):
args.all = True
print("🧪 智能算法展示平台测试运行器")
print("-" * 40)
results = {}
# 根据参数决定运行哪些测试
test_functions = []
if args.all or args.unit:
test_functions.append(("单元测试", run_unit_tests))
if args.all or args.integration:
test_functions.append(("集成测试", run_integration_tests))
if args.all or args.e2e:
test_functions.append(("端到端测试", run_e2e_tests))
if args.all or args.load:
test_functions.append(("负载测试", run_load_tests))
# 运行测试
for test_name, test_func in test_functions:
print(f"\n{'='*20} {test_name} {'='*20}")
start_time = time.time()
try:
result = test_func()
elapsed_time = time.time() - start_time
results[test_name] = result
status = "✅ 通过" if result else "❌ 失败"
print(f"\n{test_name}结果: {status} (耗时: {elapsed_time:.2f}秒)")
except KeyboardInterrupt:
print("\n⚠️ 测试被用户中断")
results[test_name] = False
break
except Exception as e:
print(f"\n{test_name}执行时发生错误: {e}")
results[test_name] = False
# 生成报告
all_passed = generate_test_report(results)
# 设置退出码
sys.exit(0 if all_passed else 1)
if __name__ == "__main__":
main()