Python异常对象包含哪些关键信息？如何利用__traceback__属性定位问题根源？

try:
    result = 10 / 0
except ZeroDivisionError as e:
    print(f"异常类型: {type(e)}")
    print(f"异常消息: {e}")
    print(f"追踪对象: {e.__traceback__}")

import traceback

try:
    result = 10 / 0
except ZeroDivisionError as e:
    traceback_str = ''.join(traceback.format_tb(e.__traceback__))
    print(traceback_str)
    print(f"异常消息: {e}")

import logging
import traceback

logging.basicConfig(filename='error.log', level=logging.ERROR)

def process_data(data):
    try:
        value = int(data)
        result = 100 / value
        return result
    except (ValueError, ZeroDivisionError) as e:
        logging.error(f"Error processing data: {data}")
        logging.error(traceback.format_exc()) # 记录完整的异常信息

data_list = ['10', '0', 'abc', '20']
for data in data_list:
    result = process_data(data)
    if result is not None:
        print(f"Result for {data}: {result}")

class DataProcessingError(Exception):
    def __init__(self, message, data):
        super().__init__(message)
        self.data = data

def process_data(data):
    try:
        value = int(data)
        if value < 0:
            raise DataProcessingError("Value must be positive", data)
        result = 100 / value
        return result
    except (ValueError, DataProcessingError) as e:
        if isinstance(e, DataProcessingError):
            print(f"Error processing data: {e.data}, message: {e}")
        else:
            print(f"ValueError: {e}")

data_list = ['10', '-5', 'abc', '20']
for data in data_list:
    result = process_data(data)
    if result is not None:
        print(f"Result for {data}: {result}")