这是我把错误写在日志文件和控制台的解决方案:

import logging, sys
import traceback
logging.basicConfig(filename='error.log', level=logging.DEBUG)

def handle_exception(exc_type, exc_value, exc_traceback):
    if issubclass(exc_type, KeyboardInterrupt):
        sys.__excepthook__(exc_type, exc_value, exc_traceback)
        return
    exc_info=(exc_type, exc_value, exc_traceback)
    logging.critical("\nDate:" + str(datetime.datetime.now()), exc_info=(exc_type, exc_value, exc_traceback))
    print("An error occured, check error.log to see the error details")
    traceback.print_exception(*exc_info)


sys.excepthook = handle_exception

Python 3解决方案

stacktrace_helper.py:

from linecache import getline
import sys
import traceback


def get_stack_trace():
    exc_type, exc_value, exc_tb = sys.exc_info()
    trace = traceback.format_stack()
    trace = list(filter(lambda x: ("\\lib\\" not in x and "/lib/" not in x and "stacktrace_helper.py" not in x), trace))
    ex_type = exc_type.__name__
    ex_line = exc_tb.tb_lineno
    ex_file = exc_tb.tb_frame.f_code.co_filename
    ex_message = str(exc_value)
    line_code = ""
    try:
        line_code = getline(ex_file, ex_line).strip()
    except:
        pass

    trace.insert(
        0, f'File "{ex_file}", line {ex_line}, line_code: {line_code} , ex: {ex_type} {ex_message}',
    )
    return trace


def get_stack_trace_str(msg: str = ""):
    trace = list(get_stack_trace())
    trace_str = "\n".join(list(map(str, trace)))
    trace_str = msg + "\n" + trace_str
    return trace_str

关于这个答案的注释:print(traceback.format_exc())对我来说比traceback.print_exc()更好。对于后者，hello有时会奇怪地与回溯文本“混合”在一起，比如两者都想同时写入stdout或stderr，产生奇怪的输出(至少在从文本编辑器内部构建并在“构建结果”面板中查看输出时)。

回溯(最近一次调用): 文件“C:\Users\User\Desktop\test.py”，第7行，在 地狱do_stuff () 文件“C:\Users\User\Desktop\test.py”，第4行，do_stuff 1/0 ZeroDivisionError:整数除法或对0取模 o [0.1s完成]

所以我用:

import traceback, sys

def do_stuff():
    1/0

try:
    do_stuff()
except Exception:
    print(traceback.format_exc())
    print('hello')

Traceback.format_exc()或sys.exc_info()将产生更多信息，如果这是你想要的。

import traceback
import sys

try:
    do_stuff()
except Exception:
    print(traceback.format_exc())
    # or
    print(sys.exc_info()[2])

如何在不停止程序的情况下打印完整的回溯?

当你不想因为一个错误而停止你的程序时，你需要用try/except来处理这个错误:

try:
    do_something_that_might_error()
except Exception as error:
    handle_the_error(error)

要提取完整的回溯，我们将使用标准库中的traceback模块:

import traceback

并创建一个相当复杂的stacktrace来演示我们得到完整的stacktrace:

def raise_error():
    raise RuntimeError('something bad happened!')

def do_something_that_might_error():
    raise_error()

印刷

要打印完整的回溯，请使用traceback。print_exc方法:

try:
    do_something_that_might_error()
except Exception as error:
    traceback.print_exc()

打印:

Traceback (most recent call last):
  File "<stdin>", line 2, in <module>
  File "<stdin>", line 2, in do_something_that_might_error
  File "<stdin>", line 2, in raise_error
RuntimeError: something bad happened!

优于打印、日志:

但是，最佳实践是为您的模块设置一个记录器。它将知道模块的名称，并且能够更改级别(在其他属性中，例如处理程序)

import logging
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)

在这种情况下，您将需要记录器。异常函数改为:

try:
    do_something_that_might_error()
except Exception as error:
    logger.exception(error)

日志:

ERROR:__main__:something bad happened!
Traceback (most recent call last):
  File "<stdin>", line 2, in <module>
  File "<stdin>", line 2, in do_something_that_might_error
  File "<stdin>", line 2, in raise_error
RuntimeError: something bad happened!

或者，您可能只想要字符串，在这种情况下，您将需要回溯。Format_exc函数改为:

try:
    do_something_that_might_error()
except Exception as error:
    logger.debug(traceback.format_exc())

日志:

DEBUG:__main__:Traceback (most recent call last):
  File "<stdin>", line 2, in <module>
  File "<stdin>", line 2, in do_something_that_might_error
  File "<stdin>", line 2, in raise_error
RuntimeError: something bad happened!

结论

对于这三个选项，我们看到我们得到的输出和我们有错误时是一样的:

>>> do_something_that_might_error()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "<stdin>", line 2, in do_something_that_might_error
  File "<stdin>", line 2, in raise_error
RuntimeError: something bad happened!

使用哪种

性能问题在这里并不重要，因为IO通常占主导地位。我更喜欢，因为它精确地以向前兼容的方式执行请求:

logger.exception(error)

日志级别和输出可以调整，这样就可以很容易地关闭，而不需要修改代码。通常做直接需要的是最有效的方法。

您需要traceback模块。它将允许您像Python通常那样打印堆栈转储。特别是，print_last函数将打印最后一个异常和堆栈跟踪。