使用 Python 3.7 运行时时引发的未处理异常似乎不会像在 Python 3.6 中那样记录到 CloudWatch。如何在 Python 3.7 中设置记录器来捕获此信息？
还发布在 AWS 论坛上 https://forums.aws.amazon.com/message.jspa?messageID=883504#883504
复制：
1. 创建一个 lambda 函数，如下所示：
import logging
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
def lambda_handler(event, context):
logger.info("This shows fine")
raise Exception("I failed")
2. 使用Python 3.6运行时运行此函数
START RequestId: a2b6038b-0e5f-11e9-9226-9dfc35a22dcc Version: $LATEST
[INFO] 2019-01-02T07:25:52.797Z a2b6038b-0e5f-11e9-9226-9dfc35a22dcc //This shows fine
I failed: Exception
Traceback (most recent call last):
File "/var/task/lambda_function.py", line 9, in lambda_handler
raise Exception("I failed")
Exception: I failed
END RequestId: a2b6038b-0e5f-11e9-9226-9dfc35a22dcc
REPORT RequestId: a2b6038b-0e5f-11e9-9226-9dfc35a22dcc Duration: 1.12 ms Billed Duration: 100 ms Memory Size: 128 MB Max Memory Used: 21 MB
2.切换到Python 3.7运行时并再次运行...没有堆栈跟踪
START RequestId: 3840aa8e-0e5d-11e9-bece-45a2022a53c6 Version: $LATEST
[INFO] 2019-01-02T07:08:35.170Z 3840aa8e-0e5d-11e9-bece-45a2022a53c6 This shows fine
END RequestId: 3840aa8e-0e5d-11e9-bece-45a2022a53c6
REPORT RequestId: 3840aa8e-0e5d-11e9-bece-45a2022a53c6 Duration: 2.20 ms Billed Duration: 100 ms Memory Size: 128 MB Max Memory Used: 20 MB
是的，我注意到了。
为了克服这个问题，我使用了装饰器。
def log_errors(func: Callable[[dict, dict], None]):
def wrapper(*args, **kwargs):
try:
func(*args, **kwargs)
except Exception as err:
warning(traceback.format_exc())
raise err
return wrapper
Usage:
@log_errors
def handler(event, context):
...
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