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Re: GDB/MI executing a python command
On 2019-05-22 8:37 a.m., David Griffiths wrote:
> Hi, I have a GDB/MI front-end and would like to execute a GDB Python
> extension command. This command will then in turn issue a number of
> gdb.execute commands itself (for reasons to do with storing state, it is
> potentially easier this way than issuing multiple MI commands). I expected
> that when I run gdb.execute with "to_string=True" that all the output would
> be captured. But this is not the case - lots of stuff gets output on the MI
> channel. For instance doing a stepi I get:
> ~"0x00007ff54501f1f5 in ?? ()\n"
> this is in addition to the captured gdb.execute reply.
> Is there a way to disable this additional MI output whilst my command is
> running? Or maybe a better way of doing this?
First of all, I must warn that issuing execution control commands (run, continue, step, etc)
in some particular context (e.g. in a breakpoint's stop method) is known to be problematic.
There should really be a good way to control the execution from Python, but there isn't as
of today. If this works for your use case, then great, but know that is an unpaved road.
Second, I think that at least some of this output is expected and there's no way I know of disabling
it. The ones starting with "*" and "~" are expected, because they asynchronous output sent to all
UIs to propagate information about state changes, not just the one UI issuing the command.
I am unsure about the "^running" though. When I type "stepi" in an MI interpreter, I get
"^running", that's perhaps acceptable. But in your case, the "stepi" from gdb.execute("stepi")
should not be executed by an MI interpreter, but by a CLI interpreter (I believe). So your
"stepi" shouldn't produce an MI response. And even if it was correct to reply with ^running,
it should probably end up in the returned string, as it is a direct response/output of your
command, not asynchronous output.
Finally, I am not sure what your use case is, but this patch series that is currently in
review might interest you:
It allows to implement MI commands in Python, allowing those commands to return proper
MI output that is consumed by the frontend.