An executor can handle multiple archs (an executor that talks with a k8s cluster
with multi arch nodes). Don't use a label for archs but a custom executor
field.
take and change a copy of the current run so we'll change newRun and use curRun
status for logic decision. In this way result are reproducible or they will be
affected by the random run.Tasks map iteration order.
Handle the task dependencies conditions:
* on_success (default if no conditions are specified)
* on_failure
* on_skipped
Not the runservice won't stop run but continue executing tasks that depends on a
parent also if this is failed
* split functions in sub parts to ease future testing
* save run fewer times
* rework events logic to considere both run phase and result changes (emit an
event on every phase or result change)
* Use just RunConfig
* Use StaticEnvironment vs Environment in RunConfig to distinguish between env
that won't change at run recreation from env that could change at every
recreation
* The RunCreate api will just receive the runtasks instead of a runconfig (more
right)
* Remove all the small index files on the lts
* Keep on s3 only a full index of all runs containing the runid, grouppath and phase
million of runs can take only some hundred of megabytes
* Periodically create a new dump of the index
Simone Gotti