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"""
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星耀数智(AmazingData)集成测试
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测试覆盖:
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- API端点测试
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- 数据一致性检查
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- 多数据源对比
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- 完整工作流测试
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"""
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import unittest
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import asyncio
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import sys
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import os
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import json
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from datetime import datetime, timedelta
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from unittest.mock import Mock, patch, AsyncMock
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# 添加项目根目录到路径
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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class TestAPIEndpoints(unittest.TestCase):
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"""测试API端点"""
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def setUp(self):
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"""测试前准备"""
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self.base_url = 'http://localhost:8080/v1'
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self.headers = {'X-Admin-Token': 'demo-api-key-2024'}
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@patch('urllib.request.urlopen')
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def test_adapters_endpoint(self, mock_urlopen):
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"""测试适配器列表端点"""
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# Mock响应
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mock_response = Mock()
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mock_response.read.return_value = json.dumps({
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'code': 200,
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'message': 'success',
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'data': {
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'adapters': [
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{'name': 'amazingdata', 'status': 'active', 'type': 'stock'},
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{'name': 'akshare', 'status': 'active', 'type': 'stock'}
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]
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}
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}).encode()
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mock_urlopen.return_value = mock_response
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import urllib.request
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req = urllib.request.Request(
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f'{self.base_url}/admin/adapters',
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headers=self.headers
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)
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response = urllib.request.urlopen(req, timeout=10)
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data = json.loads(response.read().decode())
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self.assertEqual(data['code'], 200)
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self.assertIn('adapters', data['data'])
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# 检查是否有amazingdata适配器
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adapter_names = [a['name'] for a in data['data']['adapters']]
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self.assertIn('amazingdata', adapter_names)
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@patch('urllib.request.urlopen')
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def test_source_status_endpoint(self, mock_urlopen):
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"""测试数据源状态端点"""
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mock_response = Mock()
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mock_response.read.return_value = json.dumps({
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'code': 200,
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'message': 'success',
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'data': {
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'sources': [
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{'id': 'amazingdata', 'name': '星耀数智', 'status': 'healthy'}
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]
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}
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}).encode()
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mock_urlopen.return_value = mock_response
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import urllib.request
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req = urllib.request.Request(
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f'{self.base_url}/admin/source/status',
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headers={'X-API-Key': 'demo-api-key-2024'}
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)
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response = urllib.request.urlopen(req, timeout=10)
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data = json.loads(response.read().decode())
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self.assertEqual(data['code'], 200)
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class TestDataConsistency(unittest.TestCase):
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"""测试数据一致性"""
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def test_date_format_consistency(self):
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"""测试日期格式一致性"""
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from app.adapters.amazingdata_adapter import AmazingDataAdapter
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adapter = AmazingDataAdapter()
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# 测试不同格式的日期转换为统一格式
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test_cases = [
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('2024-01-01', 20240101),
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('2024/01/01', 20240101),
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('20240101', 20240101),
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(20240101, 20240101),
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]
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for input_date, expected in test_cases:
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result = adapter._format_date(input_date)
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self.assertEqual(result, expected, f"Failed for {input_date}")
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def test_symbol_format_consistency(self):
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"""测试代码格式一致性"""
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# 股票代码应该包含交易所后缀
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valid_stock_codes = [
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'000001.SZ',
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'600000.SH',
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'688001.SH',
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'430001.BJ'
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]
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for code in valid_stock_codes:
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# 检查格式: 代码.交易所
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parts = code.split('.')
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self.assertEqual(len(parts), 2, f"Invalid code format: {code}")
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self.assertIn(parts[1], ['SH', 'SZ', 'BJ'], f"Invalid exchange: {parts[1]}")
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class TestXYSZSpecificFeatures(unittest.TestCase):
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"""测试星耀数智特有功能"""
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def setUp(self):
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"""测试前准备"""
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self.adapter = None
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try:
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from app.adapters.amazingdata_adapter import AmazingDataAdapter
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self.adapter_class = AmazingDataAdapter
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except ImportError:
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self.skipTest("AmazingData adapter not available")
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def test_futures_exchange_mapping(self):
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"""测试期货交易所映射"""
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adapter = self.adapter_class()
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# 测试上海期货交易所品种
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self.assertEqual(adapter._get_futures_exchange('CU'), 'SHFE')
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self.assertEqual(adapter._get_futures_exchange('AU'), 'SHFE')
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# 测试大连商品交易所品种
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self.assertEqual(adapter._get_futures_exchange('A'), 'DCE')
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self.assertEqual(adapter._get_futures_exchange('M'), 'DCE')
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# 测试郑州商品交易所品种
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self.assertEqual(adapter._get_futures_exchange('CF'), 'CZCE')
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self.assertEqual(adapter._get_futures_exchange('SR'), 'CZCE')
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# 测试中金所品种
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self.assertEqual(adapter._get_futures_exchange('IF'), 'CFFEX')
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self.assertEqual(adapter._get_futures_exchange('IC'), 'CFFEX')
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# 测试能源中心品种
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self.assertEqual(adapter._get_futures_exchange('SC'), 'INE')
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class TestWorkflow(unittest.IsolatedAsyncioTestCase):
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"""测试完整工作流"""
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async def asyncSetUp(self):
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"""异步测试前准备"""
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from app.adapters.amazingdata_adapter import AmazingDataAdapter
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self.adapter = AmazingDataAdapter()
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async def test_complete_workflow_mocked(self):
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"""测试完整工作流（Mock版本）"""
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# Mock所有依赖
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self.adapter._ad = Mock()
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self.adapter._base_data = Mock()
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self.adapter._market_data = Mock()
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self.adapter._info_data = Mock()
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self.adapter._calendar = Mock()
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self.adapter._is_logged_in = True
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self.adapter._connected = True
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# 1. 获取股票列表
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self.adapter._base_data.get_code_list.return_value = [
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'000001.SZ', '600000.SH'
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]
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import pandas as pd
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self.adapter._base_data.get_code_info.return_value = pd.DataFrame({
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'symbol': ['平安银行', '浦发银行']
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}, index=['000001.SZ', '600000.SH'])
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symbols = await self.adapter.fetch_symbols('stock')
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self.assertEqual(len(symbols), 2)
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# 2. 获取K线数据
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kline_df = pd.DataFrame({
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'open': [10.0], 'high': [11.0], 'low': [9.0],
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'close': [10.5], 'volume': [10000], 'amount': [105000]
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}, index=pd.to_datetime(['2024-01-01']))
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self.adapter._market_data.query_kline.return_value = {
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'000001.SZ': kline_df
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}
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klines = await self.adapter.fetch_klines(
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symbol='000001.SZ',
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start='20240101',
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end='20240101',
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freq='1d'
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)
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self.assertEqual(len(klines), 1)
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# 3. 健康检查
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self.adapter._base_data.get_code_list.return_value = ['000001.SZ']
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health = await self.adapter.health_check()
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self.assertTrue(health)
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class TestErrorHandling(unittest.TestCase):
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"""测试错误处理"""
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def test_connection_error(self):
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"""测试连接错误处理"""
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from app.adapters.amazingdata_adapter import AmazingDataAdapter
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adapter = AmazingDataAdapter()
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# 测试未登录时调用方法
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with self.assertRaises(RuntimeError) as context:
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adapter._check_login()
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self.assertIn('未连接到数据源', str(context.exception))
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def test_invalid_date_format(self):
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"""测试无效日期格式处理"""
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from app.adapters.amazingdata_adapter import AmazingDataAdapter
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adapter = AmazingDataAdapter()
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# 测试无效输入
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with self.assertRaises(ValueError):
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adapter._format_date(None)
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with self.assertRaises(ValueError):
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adapter._format_date([])
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with self.assertRaises(ValueError):
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adapter._format_date({'date': '2024-01-01'})
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class TestPerformanceRequirements(unittest.TestCase):
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"""测试性能要求"""
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def test_large_symbol_list_handling(self):
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"""测试大批量代码处理"""
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from app.adapters.amazingdata_adapter import AmazingDataAdapter
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adapter = AmazingDataAdapter()
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# 模拟5000只股票
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large_code_list = [f'{i:06d}.SZ' for i in range(1, 5001)]
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# 分批处理测试
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batch_size = 50
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batches = [large_code_list[i:i+batch_size] for i in range(0, len(large_code_list), batch_size)]
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self.assertEqual(len(batches), 100)
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self.assertEqual(len(batches[0]), 50)
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if __name__ == '__main__':
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unittest.main(verbosity=2)
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