project-chip/connectedhomeip

Parallelize code generation for jinja files and code formatting

Open

#38.775 aperta il 6 mag 2025

Vedi su GitHub
 (1 commento) (0 reazioni) (0 assegnatari)C++ (1659 fork)batch import
good first issuestale

Metriche repository

Star
 (6410 star)
Metriche merge PR
 (Merge medio 8g 5h) (375 PR mergiate in 30 g)

Descrizione

We want to have fast iteration speed on code generation. https://github.com/project-chip/connectedhomeip/blob/master/scripts/py_matter_idl/matter/idl/generators/cpp/sdk/sdk_generator.py#L120 currently generates a LOT of files and could benefit from paralelization

Update code logic to do parallel generation and test out if this improves runtime (i.e. if it is worth it - this issue was created on the assumption that it is, however we should verify that).

We also do file formatting and those seem to call one single exec to format many files at once. We should investigate if splitting files per cpu count improves formatting (i.e. is clang-format and kotlin-format single threaded or multi-threaded?)

Guida contributor