convertible_bond
Retrieve convertible bond data from the Xueqiu stock market platform. Use this tool to access detailed information about convertible bonds, including paginated results for efficient browsing.
Instructions
获取可转债信息
Args:
page_size: 每页显示数量
page_count: 页码
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page_size | No | ||
| page_count | No |
Implementation Reference
- main.py:298-307 (handler)The handler function for the 'convertible_bond' MCP tool. It is decorated with @mcp.tool() for registration and executes the tool logic by invoking pysnowball's convertible_bond method with pagination parameters and processing the returned data using process_data.@mcp.tool() def convertible_bond(page_size: int = 5, page_count: int = 1) -> dict: """获取可转债信息 Args: page_size: 每页显示数量 page_count: 页码 """ result = ball.convertible_bond(page_size=page_size, page_count=page_count) return process_data(result)
- main.py:298-298 (registration)The @mcp.tool() decorator registers the convertible_bond function as an MCP tool.@mcp.tool()
- main.py:34-62 (helper)Shared helper function used by convertible_bond (and other tools) to process raw data from pysnowball, including timestamp conversion.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)Helper utility for converting timestamps in the data returned by pysnowball.convertible_bond, used within 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