Read the statement by Michael Teeuw here.
MMM-PythonPrint customisation
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@RobCee said in MMM-PythonPrint customisation:
ReferenceError: data is not defined
are u launching ‘python’ or python3?
the default
const python=‘python’ -
@sdetweil I am using python3 and I have updated the two references to ‘python’ -> ‘python3’ to reflect this
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@RobCee right, you don’t have to change the code, just use the config.js setting
{ module: config: { pythonName:'python3', } }
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@sdetweil ok, I will try it there then and see what happens.
Tracking down errors in this MM OS is fun… -
@RobCee o, I see that I have a potential bug… if the command: is not configured,
it defaults to “”… oops…I just pushed an update got that
git pull in the module folder
to debug
add debug: true
and then look where u start MM… (this doing npm start )
[11.04.2022 10:55.13.087] [LOG] MMM-PythonPrint received a socket notification: CONFIG - Payload: [object Object] [11.04.2022 10:55.13.087] [LOG] PythonPrint spawning modules/MMM-PythonPrint/printit.py . . . . [11.04.2022 10:55.18.114] [LOG] PythonPrint sending program output=hello
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@sdetweil I will have a go with that, but I think I have a slightly different problem of my own making.
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@RobCee ok, I also fixed the use of the pythonName and added it to the debug message
[11.04.2022 11:04.20.218] [LOG] PythonPrint spawning modules/MMM-PythonPrint/printit.py using python3 . . . . [11.04.2022 11:04.25.244] [LOG] PythonPrint sending program output=hello
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I’m not sure why, as I did manage to get it working at one point, but I think the issue is that I am using the MM OS Docker image to run all this.
I think this means that the path expectations are different from the assumptions that I am making.
I may have to give in and just build the whole thing manually - it will probably be quicker than trying to fault find the install, given it’s obfuscation. -
@RobCee yes, docker paths and if OUTSIDE the MM tree, then YOU have to add new volume statements to the docker setup to map them
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@sdetweil yeah, I am deliberately keeping all the module paths in the default place, but it still doesn’t like it.
But if I go into the docker container, it doesn’t seem to have access to Python, so maybe that’s the problem.
It is all rather confusing. (More so from your end, no doubt)