201 lines
7.7 KiB
Python
201 lines
7.7 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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测试DBTradeData类的功能
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验证根据crypto_trade_data.sql表结构创建的代码是否正常工作
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"""
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import sys
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import os
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sys.path.append(os.path.dirname(os.path.abspath(__file__)))
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from core.db_trade_data import DBTradeData
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import logging
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# 配置日志
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logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s: %(message)s")
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logger = logging.getLogger(__name__)
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def test_db_trade_data():
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"""测试DBTradeData类的功能"""
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# 数据库连接URL（请根据实际情况修改）
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db_url = "mysql+pymysql://username:password@localhost:3306/database_name"
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try:
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# 创建DBTradeData实例
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db_trade_data = DBTradeData(db_url)
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logger.info("✅ DBTradeData实例创建成功")
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logger.info(f"📊 表名: {db_trade_data.table_name}")
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logger.info(f"📋 字段数量: {len(db_trade_data.columns)}")
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logger.info(f"📋 字段列表: {db_trade_data.columns}")
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# 验证字段是否与SQL表结构匹配
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expected_columns = [
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"symbol", "ts", "date_time", "tradeId", "side", "sz", "px", "create_time"
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]
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if db_trade_data.columns == expected_columns:
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logger.info("✅ 字段列表与SQL表结构完全匹配")
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else:
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logger.error("❌ 字段列表与SQL表结构不匹配")
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logger.error(f"期望字段: {expected_columns}")
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logger.error(f"实际字段: {db_trade_data.columns}")
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return False
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# 测试私有方法
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logger.info("🔍 测试私有方法...")
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if hasattr(db_trade_data, '_process_time_parameter'):
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logger.info("✅ 私有方法 _process_time_parameter 存在")
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else:
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logger.error("❌ 私有方法 _process_time_parameter 不存在")
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return False
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if hasattr(db_trade_data, '_build_query_conditions'):
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logger.info("✅ 私有方法 _build_query_conditions 存在")
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else:
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logger.error("❌ 私有方法 _build_query_conditions 不存在")
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return False
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# 测试查询方法（不实际连接数据库，只验证方法存在）
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methods_to_test = [
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"insert_data_to_mysql",
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"insert_data_to_mysql_fast",
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"insert_data_to_mysql_chunk",
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"insert_data_to_mysql_simple",
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"query_latest_data",
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"query_data_by_tradeId",
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"query_trade_data_by_symbol",
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"query_trade_data_by_side",
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"query_buy_trades",
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"query_sell_trades",
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"get_trade_statistics",
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"get_volume_price_analysis",
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"get_recent_trades",
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"get_trades_by_price_range",
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"get_trades_by_volume_range"
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]
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logger.info("🔍 验证所有查询方法是否存在...")
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for method_name in methods_to_test:
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if hasattr(db_trade_data, method_name):
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logger.info(f"✅ 方法 {method_name} 存在")
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else:
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logger.error(f"❌ 方法 {method_name} 不存在")
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return False
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# 测试类型提示
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logger.info("🔍 验证类型提示...")
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import inspect
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for method_name in methods_to_test:
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method = getattr(db_trade_data, method_name)
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if method_name.startswith('query_') or method_name.startswith('get_'):
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sig = inspect.signature(method)
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if sig.return_annotation != inspect.Signature.empty:
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logger.info(f"✅ 方法 {method_name} 有返回类型提示")
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else:
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logger.warning(f"⚠️ 方法 {method_name} 缺少返回类型提示")
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logger.info("🎉 所有测试通过！DBTradeData类创建成功")
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return True
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except Exception as e:
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logger.error(f"❌ 测试失败: {str(e)}")
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return False
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def show_class_methods():
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"""显示DBTradeData类的所有方法"""
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logger.info("📚 DBTradeData类的方法列表:")
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methods = [
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("_process_time_parameter", "私有方法：处理时间参数"),
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("_build_query_conditions", "私有方法：构建查询条件"),
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("insert_data_to_mysql", "标准插入数据到MySQL"),
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("insert_data_to_mysql_fast", "快速插入数据（使用executemany）"),
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("insert_data_to_mysql_chunk", "分块插入数据（适合大数据量）"),
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("insert_data_to_mysql_simple", "简单插入数据（使用to_sql）"),
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("query_latest_data", "查询最新交易数据"),
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("query_data_by_tradeId", "根据交易ID查询数据"),
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("query_trade_data_by_symbol", "根据交易对查询数据"),
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("query_trade_data_by_side", "根据交易方向查询数据"),
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("query_buy_trades", "查询买入交易记录"),
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("query_sell_trades", "查询卖出交易记录"),
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("get_trade_statistics", "获取交易统计信息"),
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("get_volume_price_analysis", "获取成交量价格分析"),
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("get_recent_trades", "获取最近的交易记录"),
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("get_trades_by_price_range", "根据价格范围查询交易"),
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("get_trades_by_volume_range", "根据成交量范围查询交易")
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]
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for method_name, description in methods:
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logger.info(f" • {method_name}: {description}")
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def show_optimization_benefits():
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"""显示代码优化的好处"""
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logger.info("🚀 DBTradeData类设计亮点:")
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benefits = [
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"✅ 添加了完整的类型提示，提高代码可读性和IDE支持",
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"✅ 提取了重复的时间处理逻辑为私有方法 _process_time_parameter",
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"✅ 提取了重复的查询条件构建逻辑为私有方法 _build_query_conditions",
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"✅ 提供了丰富的查询方法，支持多种查询场景",
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"✅ 支持按交易对、交易方向、时间范围等维度查询",
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"✅ 提供了统计分析和价格成交量分析功能",
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"✅ 支持价格范围和成交量范围查询",
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"✅ 符合PEP 8代码风格指南"
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]
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for benefit in benefits:
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logger.info(f" {benefit}")
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def show_usage_examples():
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"""显示使用示例"""
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logger.info("📝 使用示例:")
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examples = [
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"# 创建实例",
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"db_trade_data = DBTradeData('mysql+pymysql://user:pass@localhost/db')",
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"",
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"# 查询最新交易",
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"latest = db_trade_data.query_latest_data('BTC-USDT')",
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"",
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"# 查询买入交易",
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"buy_trades = db_trade_data.query_buy_trades('BTC-USDT', start='2024-01-01')",
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"",
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"# 获取交易统计",
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"stats = db_trade_data.get_trade_statistics('BTC-USDT')",
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"",
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"# 价格范围查询",
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"trades = db_trade_data.get_trades_by_price_range(50000, 60000, 'BTC-USDT')",
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"",
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"# 成交量分析",
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"analysis = db_trade_data.get_volume_price_analysis('BTC-USDT')"
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]
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for example in examples:
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logger.info(f" {example}")
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if __name__ == "__main__":
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logger.info("🚀 开始测试DBTradeData类...")
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# 显示类的方法列表
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show_class_methods()
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print()
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# 显示优化亮点
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show_optimization_benefits()
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print()
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# 显示使用示例
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show_usage_examples()
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print()
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# 运行测试
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success = test_db_trade_data()
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if success:
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logger.info("🎯 测试完成，所有功能正常！")
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logger.info("💡 提示：请根据实际数据库配置修改db_url参数")
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logger.info("📈 代码已成功创建，提供了完整的交易数据管理功能！")
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else:
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logger.error("💥 测试失败，请检查代码！")
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sys.exit(1) |