Xueqiu MCP

Instructions

Implementation Reference

• main.py:287-287 (registration)

  The @mcp.tool() decorator registers the rebalancing_history function as an MCP tool.
  @mcp.tool()
• main.py:288-295 (handler)

  The handler function for the rebalancing_history tool. It fetches the rebalancing history data from the pysnowball library (ball.rebalancing_history) for the given cube_symbol and processes the timestamps before returning the result.
  def rebalancing_history(cube_symbol: str="SZ000002") -> dict: """获取组合历史交易信息 Args: cube_symbol: 组合代码 """ result = ball.rebalancing_history(cube_symbol) return process_data(result)
• main.py:288-288 (schema)

  The function signature defines the input schema (cube_symbol: str with default 'SZ000002') and output type (dict). Used by FastMCP for tool schema.
  def rebalancing_history(cube_symbol: str="SZ000002") -> dict:
• main.py:34-61 (helper)

  The process_data helper function is called by the tool handler to convert timestamps in the response data to readable datetime strings.
  def process_data(data, process_config=None): """ 通用数据处理函数，可扩展添加各种数据处理操作 Args: data: 原始数据 process_config: 处理配置字典，用于指定要执行的处理操作 例如: {'convert_timestamps': True, 'other_process': params} Returns: 处理后的数据 """ if process_config is None: # 默认配置 process_config = { 'convert_timestamps': True } # 如果开启了时间戳转换 if process_config.get('convert_timestamps', True): data = convert_timestamps(data) # 在这里可以添加更多的数据处理逻辑 # 例如: # if 'format_numbers' in process_config: # data = format_numbers(data, **process_config['format_numbers']) return data
• main.py:14-31 (helper)

  The convert_timestamps helper recursively converts timestamp fields in the data to formatted datetime strings, used by process_data.
  def convert_timestamps(data): """递归地将数据中的所有 timestamp 转换为 datetime 字符串""" if isinstance(data, dict): for key, value in list(data.items()): if key == 'timestamp' and isinstance(value, (int, float)) and value > 1000000000000: # 毫秒级时间戳 data[key] = datetime.datetime.fromtimestamp(value/1000).strftime('%Y-%m-%d %H:%M:%S') elif key == 'timestamp' and isinstance(value, (int, float)) and value > 1000000000: # 秒级时间戳 data[key] = datetime.datetime.fromtimestamp(value).strftime('%Y-%m-%d %H:%M:%S') elif key.endswith('_date') and isinstance(value, (int, float)) and value > 1000000000000: # 毫秒级时间戳 data[key] = datetime.datetime.fromtimestamp(value/1000).strftime('%Y-%m-%d %H:%M:%S') elif key.endswith('_date') and isinstance(value, (int, float)) and value > 1000000000: # 秒级时间戳 data[key] = datetime.datetime.fromtimestamp(value).strftime('%Y-%m-%d %H:%M:%S') elif isinstance(value, (dict, list)): data[key] = convert_timestamps(value) elif isinstance(data, list): for i, item in enumerate(data): data[i] = convert_timestamps(item) return data