'''样例数据
red:9188561;ied:10745056;accX:209;accY:-438;accZ:-169
red:9185136;ied:10744763;accX:209;accY:-438;accZ:-171
red:9182875;ied:10744312;accX:209;accY:-438;accZ:-171
red:9181788;ied:10744212;accX:209;accY:-441;accZ:-163
red:9180729;ied:10744341;accX:209;accY:-441;accZ:-163
red:9179405;ied:10742269;accX:212;accY:-440;accZ:-172
red:9178563;ied:10741796;accX:212;accY:-440;accZ:-172
red:9178557;ied:10742843;accX:209;accY:-440;accZ:-166
red:9178185;ied:10742777;accX:209;accY:-440;accZ:-166
red:9177053;ied:10737766;accX:210;accY:-440;accZ:-166
'''

import numpy as np
import pandas as pd
from pathlib import Path
def parse_dat_line(line: str) -> dict:
    """
    解析一行 .dat 文件内容，返回一个字典
    例如输入:
    red:9188561;ied:10745056;accX:209;accY:-438;accZ:-169
    """
    data = {}
    parts = line.strip().split(';')
    for part in parts:
        if len(part.strip()) == 0:
            continue
        key, value = part.split(':', 1)
        data[key.strip()] = int(value.strip())
    return data
def parse_dat_file(file_path) -> pd.DataFrame:
    """
    读取整个 .dat 文件并返回 pandas DataFrame
    :param file_path:
    :return:
    """
    records = []
    with open(file_path, 'r', encoding='utf-8') as f:
        for line in f:
            parsed_line = parse_dat_line(line)
            records.append(parsed_line)
    df = pd.DataFrame(records)
    return df

if __name__ == '__main__':
    # file_path = './data/spo2hr[42-A3-C5-2F-F7-32]2025.11.17_17.01.13.dat'
    file_path = './data/spo2hr[42-A3-C5-2F-F7-32]2025.11.17_17.12.15.dat'
    file_path = Path(file_path)
    df = parse_dat_file(file_path)


    df.to_csv(file_path.with_suffix('.csv'), index=False)