Replace https://github.com/satori/go.uuid with maintained version at
https://github.com/gofrs/uuid
Since the new version uuid.NewV4 returns an error when failing to read
from the random source reader we use uuid.Must to panic on error since
it's considered an unrecoverable error.
In future, if needed, we could handle the error instead of panicking.
Actual implementation doesn't fetch all repository. Gitea API has
pagination.
This patch works wwith gitea pagination for repository listing
Signed-off-by: Yves-Gaël BILLET <yg.billet@gmail.com>
since the git command output is redirected to the http response body, the golang
http server automatically adds a 200 status before sending the body. If the git
command fails we cannot return an http error anymore but must close the
connection to let the client know that the request failed.
Handle `.agola/config.star` files in starlark config format.
To provide a context like done for jsonnet we require that the starlark agola
config file contains a main function that will receive a config context as a
dict.
We also had to implement our own json conversion from a starlark dict since go
starlark removed its own function.
skip fetching of tasks with status skipped, not only tasks marked as skip.
This avoid many wrong an noisy logs of type "executor task with id taskid
doesn't exist. This shouldn't happen. Skipping fetching"
updateRunTaskStatus should also accept transitions from not started to a
finished state like "success", "failed", "stopped" since we could miss some
status updates from the executor for many reasons.
rename activeExecutorTasks to scheduledExecutorTasks and don't filter out
finished tasks.
In some logic we need all the scheduled tasks and not only the not finished
ones.
taskUpdater will be called serially and won't block. It'll execute a goroutine
for executing the task and for sending the task state to the scheduler.
executeTask will just start task execution, all the logic of choosing if
starting a task is moved inside taskUpdater
In this way we avoid concurrency issues when handling the same executorTask
in parallel
Since the executor only periodically updates its state we could end up
scheduling much more tasks than the executor ActiveTasksLimit. This will happen
in the case of many parallel tasks that can all start at the same time.
To avoid this also considere the executor tasks saved in etcd that represent
the real view of scheduled tasks.
Currently when a run is marked to stop we are going to stop currently running
tasks and then their childs will be marked as skipped.
But tasks not depending on a stopped task (root task or childs with a finished
parent) that are just waiting for an executor slot, will be scheduled when
there will be a free slot also if the run is marked to stop (and then the
scheduler will stop them after some seconds).
This patch will mark all not started tasks as skipped when the run is marked to
stop.
During tests provide a zaptest Logger so all services output will be redirected
to golang testing logger.
When multiple services of the same type are provided add a unique name field to
distinguish them.
Instead of doing the current hack of copying the agola toolbox inside the host
tmp dir (always done but only needed when running the executor inside a docker
container) that has different issues (like tmp file removal done by
tmpwatch/systemd-tmpfiles), use a solution similar to the k8s driver: for every
pod create a volume containing the agola-toolbox and remove it at pod removal.
We could also use a single "global" volume but we should handle cases like
volume removal (i.e. a docker volume prune command). So for now just create a
dedicated per pod volume.