如何将含多组Summary的无序TXT转换为指定格式的Python字典？

需求说明 #

从无序结构的TXT文件中完成两个任务：

1. 提取列车运行的精确结束时间（对应文件中train End字段的值）
2. 将文件中多组编号的Summary模块（如Summary1、Summary2）分别转换为独立字典，每组内的键值对独立存储

TXT文件示例 #

Parameters selected:

Fix Path Until: 6/9/2024
train End: 11/6/2024
Min. Float Days: 0
Options: True, False, Nav

Summary1:

Num of CLASS 1 NECESSARY found: 8
Num of Shorts found in the path: 1110
Num of Lengths found in the path: 1313

Summary2:

Num of CLASS 1 NECESSARY found: 10
Num of Shorts found in the path: 1114
Num of Lengths found in the path:4567

尝试过的代码（未达到预期） #

summary1 = dict()
result = []
a= pd.read_table('F.txt',header=None, delimiter=None)[0].to_list()
if 'summary1:' in a:
for x in a:
    print(x)

期望输出 #

train_end_time: '11/6/2024'
summary1: {'Num of CLASS 1 NECESSARY found': '8','Num of Shorts found in the path': '1110','Num of Lengths found in the path': '1313'}
summary2: {'Num of CLASS 1 NECESSARY found': '10','Num of Shorts found in the path': '1114','Num of Lengths found in the path': '4567'}

解决方案代码 #

不需要用Pandas，直接逐行读取文件处理更简单：

def parse_train_file(file_path):
    train_end_time = None
    summaries = {}
    current_summary_key = None
    current_dict = None

    with open(file_path, 'r') as f:
        for line in f:
            line = line.strip()
            # 跳过空行
            if not line:
                continue
            # 提取列车结束时间
            if line.startswith('train End:'):
                _, time = line.split(':', 1)
                train_end_time = time.strip()
                continue
            # 识别Summary块的开始
            if line.startswith('Summary') and line.endswith(':'):
                current_summary_key = line.lower().rstrip(':')
                current_dict = {}
                summaries[current_summary_key] = current_dict
                continue
            # 处理Summary内的键值对
            if current_dict is not None and ':' in line:
                key, value = line.split(':', 1)
                current_dict[key.strip()] = value.strip()
    
    return train_end_time, summaries

# 调用示例
train_time, summary_dicts = parse_train_file('F.txt')

# 打印结果
print(f'train_end_time: {repr(train_time)}')
for key, val in summary_dicts.items():
    print(f'{key}: {val}')

代码说明 #

1. 逐行读取文件，跳过空行，避免无效内容干扰
2. 识别train End:行，提取并存储列车结束时间
3. 匹配SummaryX:格式的行，作为新字典的标识，初始化空字典
4. 在Summary块内，将每行按:分割为键和值，去除多余空格后存入当前字典
5. 最终返回提取到的列车时间和所有Summary字典的集合

内容的提问来源于stack exchange，提问作者eric