* Log incoming jobs.
Log the full contents of the job protobuf to make debugging jobs easier
* Ensure that the parallel executor always uses at least one thread.
The caller may mis-calculate the number of CPUs as zero, in which case
ensure that at least one thread is spawned.
* Use runtime.NumCPU for CPU counts.
For hosts without docker, GetHostInfo() returns a blank struct which
has zero CPUs and causes downstream trouble.
---------
Co-authored-by: Paul Armstrong <psa@users.noreply.gitea.com>
Co-authored-by: Jason Song <i@wolfogre.com>
* feat: run jobs in parallel
This changes fixes and restructures the parallel execution of jobs.
The previous changes limiting the parallel execution did break this
and allowed only one job in parallel.
While we run #CPU jobs in parallel now, the jobs added per job-matrix
add to this. So we might over-commit to the capacity, but at least
it is limited.
* fix: correctly build job pipeline
The job pipeline should just append all required pipeline steps.
The parallelism will be handled by the ParallelExecutor and we
shouldn't handle it during building the pipelines.
Also this adds a test, that the ParallelExecutor does run
a limited amount of parallel goroutines.
* test: correct test implementation
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
