287 lines
8.6 KiB
Markdown
287 lines
8.6 KiB
Markdown
# 炼妖壶-稷下学宫AI辩论系统 OpenBB集成测试与验证方案
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## 概述
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本文档定义了"炼妖壶-稷下学宫AI辩论系统"中OpenBB集成的测试用例和验证标准，确保集成的正确性、可靠性和性能。
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## 测试环境配置
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### 基础环境
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- Python 3.8+
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- 系统依赖：如 requirements.txt 中定义
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- 测试框架：pytest
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### OpenBB环境变体
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1. **未安装OpenBB**：测试降级机制
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2. **安装OpenBB但未配置提供商**：测试基本功能
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3. **完整配置OpenBB**：测试所有功能
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## 测试用例
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### 1. 数据抽象层测试
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#### 1.1 Provider适配器测试
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```python
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# tests/test_provider_adapters.py
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def test_openbb_provider_initialization():
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"""测试OpenBB提供商适配器初始化"""
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from src.jixia.engines.openbb_adapter import OpenBBDataProvider
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provider = OpenBBDataProvider()
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assert provider.name == "OpenBB"
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assert provider.priority == 1
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def test_rapidapi_provider_initialization():
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"""测试RapidAPI提供商适配器初始化"""
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from src.jixia.engines.rapidapi_adapter import RapidAPIDataProvider
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provider = RapidAPIDataProvider()
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assert provider.name == "RapidAPI"
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assert provider.priority == 2
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def test_provider_data_retrieval():
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"""测试提供商数据检索功能"""
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# 使用模拟数据测试各提供商的数据获取方法
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pass
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```
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#### 1.2 数据抽象层管理器测试
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```python
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# tests/test_data_abstraction_layer.py
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def test_dal_initialization():
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"""测试数据抽象层初始化"""
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from src.jixia.engines.data_abstraction_layer import DataAbstractionLayer
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dal = DataAbstractionLayer()
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# 验证提供商是否正确加载
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assert len(dal.providers) >= 1
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def test_dal_quote_retrieval():
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"""测试数据抽象层报价获取"""
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from src.jixia.engines.data_abstraction_layer import DataAbstractionLayer
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dal = DataAbstractionLayer()
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quote = dal.get_quote("AAPL")
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# 验证返回数据结构
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if quote is not None:
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assert hasattr(quote, 'symbol')
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assert hasattr(quote, 'price')
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def test_dal_fallback_mechanism():
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"""测试故障转移机制"""
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# 模拟主提供商失败，验证是否能正确切换到备用提供商
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pass
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```
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### 2. 引擎组件测试
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#### 2.1 OpenBB引擎测试
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```python
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# tests/test_openbb_engine.py
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def test_openbb_engine_initialization():
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"""测试OpenBB引擎初始化"""
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from src.jixia.engines.openbb_engine import OpenBBEngine
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engine = OpenBBEngine()
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# 验证引擎是否正确初始化
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assert engine is not None
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def test_openbb_engine_data_retrieval():
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"""测试OpenBB引擎数据获取"""
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from src.jixia.engines.openbb_engine import OpenBBEngine
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engine = OpenBBEngine()
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result = engine.get_immortal_data("吕洞宾", "price", "AAPL")
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# 验证返回结果结构
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assert hasattr(result, 'success')
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if result.success:
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assert result.data is not None
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def test_openbb_engine_unavailable():
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"""测试OpenBB不可用时的行为"""
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# 通过模拟环境测试OpenBB未安装时的降级行为
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pass
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```
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#### 2.2 永动机引擎测试
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```python
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# tests/test_perpetual_engine.py
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def test_perpetual_engine_initialization():
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"""测试永动机引擎初始化"""
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from src.jixia.engines.perpetual_engine import JixiaPerpetualEngine
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# 注意：需要提供有效的RapidAPI密钥进行测试
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pass
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def test_perpetual_engine_data_retrieval():
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"""测试永动机引擎数据获取"""
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pass
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```
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### 3. UI组件测试
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#### 3.1 OpenBB标签页测试
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```python
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# tests/test_openbb_tab.py
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def test_openbb_tab_data_loading():
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"""测试OpenBB标签页数据加载"""
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# 验证在不同环境下的数据加载行为
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pass
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def test_openbb_tab_fallback():
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"""测试OpenBB标签页降级机制"""
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# 验证当OpenBB不可用时是否正确显示演示数据
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pass
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```
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### 4. 集成测试
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#### 4.1 八仙智能体数据访问测试
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```python
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# tests/test_baxian_data_access.py
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def test_immortal_data_mapping():
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"""测试八仙与数据源的映射关系"""
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from src.jixia.engines.baxian_data_mapping import immortal_data_mapping
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# 验证所有八仙都有正确的数据源映射
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assert len(immortal_data_mapping) == 8
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for immortal in ['吕洞宾', '何仙姑', '张果老', '韩湘子', '汉钟离', '蓝采和', '铁拐李', '曹国舅']:
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assert immortal in immortal_data_mapping
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def test_immortal_data_retrieval():
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"""测试八仙智能体数据获取"""
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# 验证每个八仙都能通过数据抽象层获取到所需数据
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pass
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```
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#### 4.2 端到端辩论流程测试
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```python
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# tests/test_debate_flow_with_openbb.py
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def test_debate_with_openbb_data():
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"""测试使用OpenBB数据的完整辩论流程"""
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# 验证辩论系统能正确使用OpenBB提供的数据
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pass
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```
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## 性能测试
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### 1. 响应时间测试
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```python
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# tests/performance/test_response_time.py
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def test_quote_retrieval_response_time():
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"""测试报价获取响应时间"""
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import time
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from src.jixia.engines.data_abstraction_layer import DataAbstractionLayer
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dal = DataAbstractionLayer()
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start_time = time.time()
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quote = dal.get_quote("AAPL")
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end_time = time.time()
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response_time = end_time - start_time
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# 验证响应时间在可接受范围内
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assert response_time < 2.0 # 假设2秒为阈值
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```
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### 2. 并发访问测试
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```python
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# tests/performance/test_concurrent_access.py
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def test_concurrent_quote_retrieval():
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"""测试并发报价获取"""
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import asyncio
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from src.jixia.engines.data_abstraction_layer import DataAbstractionLayer
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async def get_quote(symbol):
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dal = DataAbstractionLayer()
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return await dal.get_quote_async(symbol)
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async def get_multiple_quotes():
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symbols = ["AAPL", "GOOGL", "MSFT", "TSLA"]
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tasks = [get_quote(symbol) for symbol in symbols]
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return await asyncio.gather(*tasks)
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# 运行并发测试
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quotes = asyncio.run(get_multiple_quotes())
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# 验证所有请求都成功返回
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assert len(quotes) == 4
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```
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## 验证标准
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### 功能验证标准
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1. **数据准确性**：返回的数据格式和内容符合预期
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2. **故障转移**：当主数据源不可用时，系统能自动切换到备用数据源
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3. **优雅降级**：当OpenBB未安装时，系统能正常运行并使用演示数据
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4. **八仙映射**：每个八仙都能访问其专属的数据源和类型
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### 性能验证标准
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1. **响应时间**：单次数据请求响应时间不超过2秒
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2. **并发处理**：系统能同时处理至少10个并发数据请求
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3. **资源使用**：内存使用在合理范围内，无内存泄漏
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4. **缓存效率**：缓存命中率应达到80%以上
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### 兼容性验证标准
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1. **Python版本**：支持Python 3.8及以上版本
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2. **OpenBB版本**：支持OpenBB v4.1.0及以上版本
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3. **环境变量**：正确处理各种环境变量配置
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4. **依赖管理**：OpenBB作为可选依赖，不影响主系统安装
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## 持续集成/持续部署(CI/CD)集成
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### GitHub Actions工作流
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```yaml
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# .github/workflows/openbb_integration_test.yml
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name: OpenBB Integration Test
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on:
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push:
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branches: [ main, develop ]
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pull_request:
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branches: [ main ]
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jobs:
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test:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: [3.8, 3.9, '3.10', '3.11']
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openbb-installed: [true, false]
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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if [ "${{ matrix.openbb-installed }}" = "true" ]; then
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pip install "openbb>=4.1.0"
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fi
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- name: Run tests
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run: |
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pytest tests/test_openbb_*.py
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pytest tests/test_data_abstraction_*.py
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```
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## 监控和告警
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### 关键指标监控
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1. **数据源可用性**：监控各数据提供商的可用性
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2. **响应时间**：监控数据请求的平均响应时间
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3. **错误率**：监控数据访问的错误率
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4. **缓存命中率**：监控缓存的使用效率
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### 告警策略
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1. **可用性告警**：当数据源可用性低于95%时触发告警
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2. **性能告警**：当平均响应时间超过阈值时触发告警
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3. **错误率告警**：当错误率超过1%时触发告警
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4. **缓存告警**：当缓存命中率低于70%时触发告警
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## 结论
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这套测试和验证方案确保了OpenBB集成的高质量交付，通过全面的功能测试、性能测试和持续集成，能够及时发现和修复潜在问题，保证系统的稳定性和可靠性。 |