On 2021-02-06 21:01:37 -0600, Skip Montanaro wrote:
> The logging package can log exceptions and call stacks, but it does
> (in my opinion) a suboptimal job of it. Consider this simple example:
> >>> import logging
> >>> FORMAT = '%(asctime)-15s %(levelname)s %(message)s'
> >>> logging.basicConfig(format=FORMAT, force=True)
> >>> log.warning("msg", stack_info=True)
> 2021-02-06 20:46:52,399 WARNING msg
> Stack (most recent call last):
> File "<stdin>", line 1, in <module>
>
> It formats the warning message just fine, but simply dumps the
> traceback onto the stream with no timestamp or level. For my purposes,
> this is more important for exceptions. (I'm just using the stack trace
> feature as it's easier in a small example.) I would like to call
> something like
I suspect that it just adds the stack trace to the message, so that you
are left with a multi-line message.
I often produce multi-line log messages myself. They are much nicer to
read than extremely long lines or groups of messages which should really
be read as a unit ...
> log.exception("Some message...")
>
> and find something like this in the output stream:
>
> 2021-02-06 20:46:52,399 ERROR Some message...
> 2021-02-06 20:46:52,400 ERROR Traceback (most recent call last):
> 2021-02-06 20:46:52,402 ERROR File "<stdin>", line 1, in <module>
... like this.
> That way I can more easily grep log files for errors and get the
> entire detail, including the traceback.
Yes, grep is unfortunately very line-oriented. I often write write
simple scripts to filter log files where one message can span multiple
lines (Python's logging module isn't the only one - Samba and PostgreSQL
come to mind).
Another possibility would be to write the logs into a database. That
also has the advantage that the messages are stored in a structure and
you don't have to parse them.
hp
--
_ | Peter J. Holzer | Story must make more sense than reality.
|_|_) | |
| | | h...@hjp.at | -- Charles Stross, "Creative writing
__/ | http://www.hjp.at/ | challenge!"
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