Closed ruimaranhao closed 3 years ago
This tool just imitates the same formula used by pylint 10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10)
to calculate a score.
The classifications from above forluma are done here https://github.com/priv-kweihmann/multimetric/blob/c3a7cb472d995ecfe4f1ee8f2b08cd8f26af7bde/multimetric/cls/calc/pylint.py#L21
There is no real usage of pylint in the background. Does that answer your question?
So, one would have to pass the Pylint's report to multimetric, is it?
no no, I just found one usage of the coverage information -> https://github.com/priv-kweihmann/multimetric/blob/c3a7cb472d995ecfe4f1ee8f2b08cd8f26af7bde/multimetric/cls/calc/tiobe.py#L42
basically you need to pass a file containing information about the given coverage from any tool you like to this tool. As the README states this can be either a csv or a json
csv: CSV file of following line format
<file>,<content>,<severity>
json: JSON file
<file>: {
"content": <content>,
"severity": <severity>
}
which makes it for the case of coverage information something like
file1.c,45.9
file2.h,80.9
or as a json
[
"file1.c": { "content": 45.9 },
"file2.h": { "content": 80.9 }
]
where those values are coming from is up to you.
In case you'd like to import from another tool in a different format, I'd happy about PRs :-)
This is great! Thanks.
Regarding pylint, just checking my understanding: you need to run pylint and map the results to a csv/json in order for it to be used by multimetrics. Is my understanding correct?
Correct
Hello!
Thanks for this tool: wonderful work!
I do have a question about how pylint and coverage works. Do you have a more exhaustive example?
Thanks, Rui