Allow setting the destination branch/tag/ref so users can test the run
conditions based on the branch/tag/ref.
To simulate a pull request an user can define a ref that matches one of these
regular expressions: `refs/pull/(\d+)/head`, `refs/merge-requests/(\d+)/head`
Older version of docker doesn't support the exec api Env and WorkingDir options.
Support these versions by doing the same we already do with the k8s driver: use
the `toolbox exec` command that will set the provided Env, change the cwd to the
WorkingDir and the exec the wanted command.
Export clients and related packages.
The main rule is to not import internal packages from exported packages.
The gateway client and related types are totally decoupled from the gateway
service (not shared types between the client and the server).
Instead the configstore and the runservice client currently share many types
that are now exported (decoupling them will require that a lot of types must be
duplicated and the need of functions to convert between them, this will be done
in future when the APIs will be declared as stable).
Since they're not types common to all the services but belongs to the
configstore.
Next step will be to make them local to the configstore and not directly used by
other services since these types are also stored.
* Don't fail tasks inside the delete executor action, just delete the executor
from etcd
* The scheduler, when detecting a task without a related executor will mark the
task as failed and correctly set end time of the task and its steps.
Implement runservice maintenance mode and export/import.
When runservice is set in maintenance mode it'll start only the maintenance and
export/import handlers.
Setting maintenance mode will set a key in etcd so all the runservice instances
will detect it and enter in maintenance mode. This is done asyncronously so it
could take some time (future improvements will add some api to show all the
runservice states)
Export is always available and will export the datamanager contents. Currently
only datamanager contents are exported (no logs and workspace archives).
Import is available only during maintenance, given a datamanager export will
import it and reset etcd to this import state.
There was a typo so we weren't setting the task endTime when the setup step
failed.
Also unify all logic to just use `et` (instead of a mix of `et` or `rt.et`)
Implement configstore maintenance mode and export/import.
When configstore is set in maintenance mode it'll start only the maintenance and
export/import handlers.
Setting maintenance mode will set a key in etcd so all the configstore instances
will detect it and enter in maintenance mode. This is done asyncronously so it
could take some time (future improvements will add some api to show all the
configstore states)
Export is always available and will export the datamanager contents.
Import is available only during maintenance, given a datamanager export will
import it and reset etcd to this import state.
Use the go sql context functions (ExecContext, QueryContext etc...)
The context is saved inside Tx so the library users should only pass it one time
to the db.Do function.
In runservice readdb Run method we could end with a deadlock if two of the
goroutines that call HandleEvents.* try to write to the errCh at the same
time before the errCh is read. If this happens one of the two will be blocked on
writing to the channel but the read won't happen since it'll blocked by
wg.Wait().
Fix this doing:
* use a buffered channel large as the number of executed goroutines.
* create a new errCh at every loop (so we'll ignore later errors after the first
one)
Note: we could also use a non blocking send to avoid this situation but we
should also start the wg.Wait before the goroutines or earlier errors could be
lost causing another kind of hang.
* Don't make cors enabled on all (*) by default.
* Handle related web.allowedOrigins options
* Only the gateway api should be called by a browser so setup the cors handler
only on it
currently we are deleting the executor tasks only when all the run tasks
log/archives were fetched. But it'll better to remove a single executor task
when the task fetching is finished.
This could also fix possible issues on k8s since we are scheduling tasks but the
k8s scheduler may not schedule them if there aren't enough resources causing a
scheduling deadlock since we won't remove finished pods because their related
tasks are not removed and k8s cannot start new pods since it has no resources.
Before kubernetes 1.14 nodes were labeled with the "beta.kubernetes.io/arch"
label instead of the "kubernetes.io/arch".
Current k8s version (v1.15) labels nodes with both labels but it's
deprecated and will removed in future versions.
At driver start get the current k8s api version and choose the right label to
use as node selector based on it.
* Override the provided remotesource id with the current one (it could not be
provided or provided with a different id but the remotesource ref is the way to
get the current remote source).
* When changing remotesource name check that a remote source with the new name
does not already exist.
* Make the new fields RegistrationEnabled/LoginEnabled in types.RemoteSource
bool pointers (since they are new fields that don't exist in previously saved
remote sources) and default them to true if null when unmarshaling (or existing
remotesources will have registration and login disabled)
* Add options to cmd remotesource create/update to set the registration/login
disabled.
Don't put datamanager base dirs inside the root of the ost but use a base path.
Let's do it now before releasing since this is a breaking change that requires
moving the ost data to the new path
Don't put datamanager base dirs inside the root of the ost but use a base path.
Let's do it now before releasing since this is a breaking change that requires
moving the ost data to the new path
Currently we aren't setting a basepath and it wasn't always correctly handled.
Fix missing basepath handling and improve tests to also use a non empty
basepath.
Since the user direct runs all belong to the same run group (the user id) all
the user direct runs will share the same caches. To distinguish between the
different caches we need to use something in addition to the user id. In this
case we are usin the local repo uuid generated by the direct run start command.
The cache group fields defines under which cache group the run cache data will
belong. This is needed/useful for some next changes:
* Make cache correctly work for user direct runs. Since the user direct runs all
belong to the same run group (the user id) all the use direct runs will share the
same caches. To distinguish between the different caches we need to use something
in addition to the user id (the local repo uuid generated by the direct run
start command)
* Share the cache between multiple projects
Simone Gotti