Server-py/sri-pysdk/xlib/xmarkdwon.py

# update: 2024.9.4
"""
cd /media/nvidia/nvme0n1/server/repositories/repositories/sri-project.demo-py/3rdparty/xlib
python3 xmarkdwon.py
"""


def read_text(file_path):
    with open(file_path, 'r') as f:
        return f.read()


if __name__ == '__main__':
    file_path = '/media/nvidia/nvme0n1/server/repositories/repositories/sri-project.demo-py/sri-agent-tool01/factories/README-test.md'

    # --- 获取唯一的表格数据，
    text = read_text(file_path)
    t_list = text.split('|')[1:-1]
    table_text = '|' + '|'.join(t_list) + '|'
    print(table_text)
    # | 名称     | 年龄 | 职业     |
    # |----------|------|----------|
    # | 张三     | 28   | 软件工程师 |
    # | 李四     | 35   | 数据科学家 |
    # | 王五     | 22   | 产品经理   |

    # --- 字符转字典
    # 分割表格行
    lines = table_text.strip().split("\n")
    # 获取表头
    headers = [header.strip() for header in lines[0].split("|") if header]
    # 解析数据行
    data = []
    for line in lines[2:]:  # 跳过表头分隔线
        values = [value.strip() for value in line.split("|") if value]
        row = dict(zip(headers, values))
        data.append(row)
    print(data)

    # --- 字典转字符
    # 获取表头
    headers = data[0].keys()
    # 创建表头行
    header_row = "| " + " | ".join(headers) + " |"
    # 创建分隔行
    separator_row = "| " + " | ".join(["-" * len(header) for header in headers]) + " |"
    # 创建数据行
    data_rows = []
    for item in data:
        row = "| " + " | ".join(item.values()) + " |"
        data_rows.append(row)
    # 合并所有行
    markdown_table = "\n".join([header_row, separator_row] + data_rows)
    print(markdown_table)