The exception handling block was raising the caught exception in-place, which caused the original traceback info to be lost. Rather than replace `raise e` with `raise`, I simply removed the whole try / except, since no action was being taken in the except block.
The worker handles exceptions in the job outside of the job's own context, so an exception handler / logger cannot call `get_current_job()` to obtain the job ID. The job ID can be used to locate the job in the failed job registry, which allows useful behaviors such as linking to a failed job on a dashboard in an error report.
Closes#1192.
* Add job status setting in enqueue_at (and in enqueue_in) methods
Update tests for this change
Closes: #1179
* Add status param to create_job func, rework enqueue_at status setting
* Add a hard kill from the parent process with a 10% increased timeout in case the forked process gets stuck and cannot stop itself.
* Added test for the force kill of the parent process.
* Changed 10% to +1 second, and other misc changes based on review comments.
* First RQScheduler prototype
* WIP job scheduling
* Fixed Python 2.7 tests
* Added ScheduledJobRegistry.get_scheduled_time(job)
* WIP on scheduler's threading mechanism
* Fixed test errors
* Changed scheduler.acquire_locks() to instance method
* Added scheduler.prepare_registries()
* Somewhat working implementation of RQ scheduler
* Only call stop_scheduler if there's a scheduler present
* Use OSError rather than ProcessLookupError for PyPy compatibility
* Added `auto_start` argument to scheduler.acquire_locks()
* Make RQScheduler play better with timezone
* Fixed test error
* Added --with-scheduler flag to rq worker CLI
* Fix tests on Python 2.x
* More Python 2 fixes
* Only call `scheduler.start` if worker is run in non burst mode
* Fixed an issue where running worker with scheduler would fail sometimes
* Make `worker.stop_scheduler()` more resilient to errors
* worker.dequeue_job_and_maintain_ttl() should also periodically run maintenance tasks
* Scheduler can now work with worker in both burst and non burst mode
* Fixed scheduler logging message
* Always log scheduler errors when running
* Improve scheduler error logging message
* Removed testing code
* Scheduler should periodically try to acquire locks for other queues it doesn't have
* Added tests for scheduler.should_reacquire_locks
* Added queue.enqueue_in()
* Fixes queue.enqueue_in() in Python 2.7
* First stab at documenting job scheduling
* Remove unused methods
* Remove Python 2.6 logging compatibility code
* Remove more unused imports
* Added convenience methods to access job registries from queue
* Added test for worker.run_maintenance_tasks()
* Simplify worker.queue_names() and worker.queue_keys()
* Updated changelog to mention RQ's new job scheduling mechanism.
* Multi Dependency Support - Registration & Enqueue Call
Internal API changes to support multiple dependencies.
* Store all of a job's _dependencies_ in a redis set. Delete that set when a job is deleted.
* Add Job#fetch_dependencies method - which return all jobs a job is dependent upon and optionally _WATCHES_ all dependency ids.
* Use Job#fetch_dependencies in Queue#call_enqueue. `fetch_dependencies` now sets WATCH and raises InvalidJobDependency, rather than call_enqueue.
`Queue` and `Job` public APIs still expect single ids of jobs for `depends_on` but internally register them in a way that could support multiple jobs being passed as dependencies.
Next up: need to update Queue#enqueue_dependents
* Use existing fetch_many method to get dependencies.
Modify fetch_dependencies to use fetch_many.
* Remove default value for fetch_many's connection parameter
* PR review housekeeping
* Remove a duplicate test
* Oneline something
* Fix missing colon in dependencies key
* Delete job key, dependents and dependencies at once
* More Fixes From Code Review
Updates to Job, Queue and associated tests.
* When Checking dependencies Avoid, trip to Redis
* When checking the status of a job, we have a 'clean' status of all dependencies(returned from Job#fetch_dependencies) and the job keys are WATCHed, so there's no reason to go back to Redis to get the status _again_.
* Looks as though, the `_status` set in `Job#restore` was bytes while it was converted to text(`as_text`) in `Job#get_status` - for consistency(and tests) converting to text in `restore` as well.
* In `Queue#enqueue_call`, moved WATCH of dependencies_key to before fetching dependencies. This doesn't really matter but seems more _correct_ - one can imagine some rogue API adding a dependency after they've been fetched but before they've been WATCHEed.
* Update Job#get_status to get _local_ status
* If refresh=False is passed, don't get status from Redis; return the value of _status. This is to avoid a trip to Redis if the caller can guarantee that the value of `_status` is _clean_.
* More Fixups
* Expire dependency keys in Job#cleanup
* Consistency in Job#fetch_dependencies
* Convert `_dependency_id` to `_dependency_ids`
Change `Job`s tracking from a single id of it's dependencies from a single _id_ to a list of _id_s. This change should be private to `Job` - especially leaving `Job#to_dict` and `Job#restore`s treatment of a single 'dependency_id' intact.
This change modifies existing tests.
* Remove reliance upon dependency property in tests
... use dependency.id not `_dependency_id`
* Re-add assertions for Falsey Values
* Add _dependency_id property
For backwards compatibility with other libs such as django-rq and rq-scheduler
Selwin Ong
Michael Angeletti
grayshirt
Vincent Jacques
rmartin48
Prajjwal Nijhara
Pierre Mdawar
Babatunde Olusola
Paweł Bąk
Samuel Colvin
Seamus Mac Conaonaigh
wevsty
Bo Bayles
Tim Gates
Ryan Febriansyah
Zach Kanzler
Levin Rickert
Ivan Kiryanov
mr-trouble
Florian Perucki
Christian Clauss
goldstar611
Yongtao Zhang
Thomas Matecki
Ivan Piskunov