237 lines
7.3 KiB
Python
237 lines
7.3 KiB
Python
import csv
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import pandas as pd
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from MySQLHelper import MySQLHelper
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import logging
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from typing import List, Dict, Optional, Tuple
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from datetime import datetime
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from LogHelper import LogHelper
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def get_monthly_avg_data(db_config: dict, table_name: str) -> Optional[List[Dict]]:
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"""
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从数据库读取月度均值数据
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Args:
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db_config: 数据库配置
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table_name: 源数据表名
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Returns:
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List[Dict]: 查询结果数据集，失败返回None
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"""
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try:
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with MySQLHelper(**db_config) as db:
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# 获取表结构信息
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columns = db.execute_query(f"""
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SELECT COLUMN_NAME
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FROM INFORMATION_SCHEMA.COLUMNS
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WHERE TABLE_SCHEMA = %s AND TABLE_NAME = %s
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ORDER BY ORDINAL_POSITION
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""", (db_config['database'], table_name))
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if not columns:
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logging.error(f"表 {table_name} 不存在或没有列")
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return None
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# 获取列名列表(排除id和update_time)
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field_names = [col['COLUMN_NAME'] for col in columns
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if col['COLUMN_NAME'] not in ('id', 'update_time')]
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# 查询数据
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data = db.execute_query(f"""
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SELECT {', '.join(field_names)}
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FROM {table_name}
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ORDER BY stock_code
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""")
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if not data:
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logging.error(f"表 {table_name} 中没有数据")
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return None
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return data
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except Exception as e:
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logging.error(f"从数据库读取月度均值数据失败: {str(e)}")
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return None
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def get_float_share_data(db_config: dict, table_name: str) -> Optional[List[Dict]]:
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"""
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从conditionalselection表读取流通股本数据
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Args:
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db_config: 数据库配置
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table_name: 源数据表名
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Returns:
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List[Dict]: 查询结果数据集，失败返回None
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"""
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try:
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with MySQLHelper(**db_config) as db:
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# 查询流通股本数据
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data = db.execute_query(f"""
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SELECT stock_code, stock_name, float_share
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FROM {table_name}
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ORDER BY stock_code
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""")
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if not data:
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logging.error(f"表 {table_name} 中没有流通股本数据")
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return None
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return data
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except Exception as e:
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logging.error(f"从数据库读取流通股本数据失败: {str(e)}")
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return None
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def merge_data(monthly_data: List[Dict], float_share_data: List[Dict]) -> List[Dict]:
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"""
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合并月度均价数据和流通股本数据
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Args:
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monthly_data: 月度均价数据
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float_share_data: 流通股本数据
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Returns:
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List[Dict]: 合并后的数据集
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"""
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merged_data = []
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float_share_dict = {item['stock_code']: item['float_share'] for item in float_share_data}
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for item in monthly_data:
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merged_item = item.copy()
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merged_item['float_share'] = float_share_dict.get(item['stock_code'], 'N/A')
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merged_data.append(merged_item)
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return merged_data
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def export_to_csv(data: List[Dict], output_file: str) -> bool:
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"""
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将合并后的数据导出到CSV文件
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Args:
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data: 要导出的数据集
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output_file: 输出的CSV文件路径
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Returns:
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bool: 是否导出成功
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"""
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if not data:
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return False
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try:
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# 获取字段名(使用第一个数据的键)
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field_names = list(data[0].keys())
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# 字段名到中文的映射
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header_map = {
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'stock_code': '股票代码',
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'stock_name': '股票名称',
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'float_share': '流通股本(千股)',
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'ym_2410': '2024年10月均收盘价',
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'ym_2411': '2024年11月均收盘价',
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'ym_2412': '2024年12月均收盘价',
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'ym_2501': '2025年1月均收盘价',
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'ym_2502': '2025年2月均收盘价',
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'ym_2503': '2025年3月均收盘价',
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'ym_2504': '2025年4月均收盘价',
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'ym_2505': '2025年5月均收盘价',
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'ym_2506': '2025年6月均收盘价',
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'ym_2507': '2025年7月均收盘价',
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'ym_2508': '2025年8月均收盘价'
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}
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with open(output_file, mode='w', newline='', encoding='utf-8-sig') as csvfile:
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writer = csv.DictWriter(csvfile, fieldnames=field_names)
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# 写入中文表头
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writer.writerow({col: header_map.get(col, col) for col in field_names})
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# 写入数据
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writer.writerows(data)
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logging.info(f"成功导出 {len(data)} 条记录到CSV文件: {output_file}")
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return True
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except Exception as e:
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logging.error(f"导出到CSV失败: {str(e)}")
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return False
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def export_combined_data(db_config: dict,
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monthly_table: str,
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float_share_table: str,
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csv_file: str = None) -> bool:
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"""
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导出合并后的数据到CSV和/或Excel
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Args:
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db_config: 数据库配置
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monthly_table: 月度均价表名
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float_share_table: 流通股本表名
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csv_file: CSV输出路径(可选)
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excel_file: Excel输出路径(可选)
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Returns:
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bool: 是否至少有一种格式导出成功
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"""
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if not csv_file and not excel_file:
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logging.error("必须指定至少一种输出格式")
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return False
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# 从数据库获取数据
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monthly_data = get_monthly_avg_data(db_config, monthly_table)
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if not monthly_data:
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logging.error("无法获取月度均价数据")
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return False
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float_share_data = get_float_share_data(db_config, float_share_table)
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if not float_share_data:
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logging.error("无法获取流通股本数据")
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return False
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# 合并数据
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merged_data = merge_data(monthly_data, float_share_data)
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# 导出结果
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csv_success = True
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excel_success = True
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if csv_file:
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csv_success = export_to_csv(merged_data, csv_file)
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return csv_success or excel_success
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# 使用示例
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if __name__ == "__main__":
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ogHelper = LogHelper(
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level=logging.DEBUG, # 设置日志级别为 DEBUG
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format='%(asctime)s [%(levelname)s] %(message)s' # 自定义格式
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)
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# # 添加处理器
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logHelper.add_console_handler() # 默认输出到 stdout
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logHelper.add_file_handler('Debug.log') # 添加文件日志
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# # 应用配置
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logHelper.setup()
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# 数据库配置
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db_config = {
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'host': 'localhost',
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'user': 'root',
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'password': 'bzskmysql',
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'database': 'klinedata_1d_hk'
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}
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# 导出合并数据
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success = export_combined_data(
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db_config=db_config,
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monthly_table="hk_monthly_avg_2410_2508",
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float_share_table="conditionalselection",
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csv_file="hk_stocks_combined_data.csv",
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excel_file="hk_stocks_combined_data.xlsx"
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)
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if success:
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logging.info("数据合并导出成功完成")
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else:
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logging.error("数据合并导出过程中出现错误") |