Implement the `deleteJob` API endpoint. Calling this endpoint will mark
the job as "deletion requested", after which it's queued for actual
deletion. This makes the API response fast, even when there is a lot of
work to do in the background.
A new background service "job deleter" keeps track of the queue of such
jobs, and performs the actual deletion. It removes:
- Shaman checkout for the job (but see below)
- Manager-local files of the job (task logs, last-rendered images)
- The job itself
The removal is done in the above order, so the job is only removed from the
database if the rest of the removal was succesful.
Shaman checkouts are only removed if the job was submitted with Flamenco
version 3.2. Earlier versions did not record enough information to reliably
do this.
The priority of an existing can now be changed. It will be taken into
account when assigning tasks to workers, but it will not reassign tasks
that are already active.
Workers can now be soft-deleted. Tasks assigned to the worker will remain
associated with that Worker. Active tasks will be re-queued so other
workers can pick them up.
The Task details component already linked to the Worker it was assigned
to last, and now the Worker links back to the task.
There's only one task shown in the Worker details. If the Worker is
actively working on a task, that one's shown. Otherwise it's the
last-updated task that was assigned to the worker.
Two-way variable implementation in the job submission end-point. Where
Flamenco v2 did the variable replacement in the add-on, this has now
been moved to the Manager itself. The only thing the add-on needs to
pass is its platform, so that the right values can be recognised.
This also implements two-way replacement when tasks are handed out, such
that the `{jobs}` value gets replaced to a value suitable for the
Worker's platform as well.
This just updates the config and saves it to `flamenco-manager.yaml`.
Saving the configuration doesn't restart the Manager yet, that's for
another commit.
This adds a `-wizard` CLI option to the Manager, which opens a webbrowser
and shows the First-Time Wizard to aid in configuration of Flamenco.
This is work in progress. The wizard is just one page, and doesn't save
anything yet to the configuration.
Add a "Last Rendered" view to the webapp.
The Manager now stores (in the database) which job was the last
recipient of a rendered image, and serves that to the appropriate
OpenAPI endpoint.
A new SocketIO subscription + accompanying room makes it possible for
the web interface to receive all rendered images (if they survive the
queue, which discards images when it gets too full).
After processing an image in the "last-rendered" processor, a SocketIO
object is sent to clients to indicate the last-rendered image needs to
be (re)loaded.
This also moves the previously existing "done callback" from a single
function to a per-image callback, so that it can be called with the
right information in there, and only when that particular image is
actually done processing.
The notification message sent via SocketIO also contains the necessary
info to render the image, so that the web client doesn't have to call
the `fetchJobLastRenderedInfo` operation.
Add a handler for the OpenAPI `taskOutputProduced` operation, and an
image thumbnailing goroutine.
The queue of images to process + the function to handle queued images
is managed by `last_rendered.LastRenderedProcessor`. This queue currently
simply allows 3 requests; this should be improved such that it keeps
track of the job IDs as well, as with the current approach a spammy job
can starve the updates from a more calm job.
When a job or task gets requeued from the web interface, its task
failure lists (i.e. the list of workers that previously failed this
task) will be cleared.
This clearing doesn't happen in other situations, e.g. when a worker
signs off and its task gets requeued, the task's failure list will
remain as-is.
When a Worker indicates a task failed, mark it as `soft-failed` until
enough workers have tried & failed at the same task.
This is the first step in a blocklisting system, where tasks of an
often-failing worker will be requeued to be retried by others.
NOTE: currently the failure list of a task is NOT reset whenever it is
requeued! This will be implemented in a future commit, and is tracked in
`FEATURES.md`.
Update the 'last seen at' timestamp of workers when they:
- sign on
- sign off
- get a task assigned
- send a task update
- check whether they can keep running their task
Note that this commit is necessary to not have the workers time out
immediately ;-)
Requeueing the tasks of a specific worker is now done in the
`TaskStateMachine`, such that it can be called from other services as
well in future commits.
This also makes the `LogStorage` service a dependency of the
`TaskStateMachine`, as it needs to write "this task was requeued" kind
of messages to the task logs.
In the future different services will write to the task log, and thus
it makes sense to move the responsibility of prepending the timestamps
to the log storage service.
It returns 2048 bytes at most. It'll likely be less than that, as it will
ignore the first bytes until the very first newline (to avoid returning
cut-off lines). If the log file itself is 2048 bytes or smaller, return the
entire file.
Implement task log broadcasting via SocketIO. The logs aren't shown in the
web interface yet, but do arrive there in a Pinia store. That store is
capped at 1000 lines to keep memory requirements low-ish.
Add `fetchJobTasks` operation to the Jobs API. This returns a summary of
each of the job's tasks, suitable for display in a task list view.
The actually used fields may need tweaking once we actually have a task
list view, but at least the functionality is there.
To prepare for job status changes being requestable from the API, store
the reason for any status change on the job itself.
Not yet part of the API, just on the persistence layer.
This introduces some more conceptual changes to Shaman. The most important
one is that there is no longer a "checkout ID", but a "checkout path".
The Shaman client can request any subpath of the checkout directory,
so that it can handle things like project- or scene-specific prefixes.
