Comments (1)
It should be useable out of the box, directly, by someone that hasn't ever used it before. So by default, it should not require any arguments and start auto-refreshing all info (both queues and workers). The args can still be given to show only a subset of data. But the default invocation should be most useful.
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Related Issues (20)
- Support for functools.partial in Callback Class HOT 1
- Work-horse Terminated Unexpectedly With Error Code 11 HOT 1
- Understanding `Worker` vs `SimpleWorker` TTL HOT 1
- Task got Future attached to a different loop HOT 1
- Some strange error in Python code in Docker container running RQ
- Machine learning models are forced to use single thread
- how to have a queue across two (or more) workers but still runs functions in sequence? HOT 3
- Worker starts twice if queue isn't empty
- fatal rq error HOT 4
- Python Redis Queue: job is finished but result is None HOT 1
- OpenTelemetry tracing HOT 3
- Don't call cleanup from count and get_job_id
- redis.exceptions.ResponseError: Command # 1 (SADD rq:queues rq:queue:test) of pipeline caused error: MOVED 8713 mxxx.euw1.cache.amazonaws.com:6379 HOT 1
- strange interactions between last_cleaned_at, maintenance_interval and rq:clean_registries lock key HOT 1
- Dependencies specified with Dependency(allow_failure=True) are never enqueued when a job is moved to FailedJobRegistry due to AbandonedJobError
- Can we pass custom args to a callback (on_failure) HOT 2
- Worker rq:worker:... found an unhandled exception, quitting (ModuleNotFoundError: No module named 'resource') HOT 5
- Jobs being lost when killing workers HOT 2
- Use RedisCluster as connection argument for rq worker (redis 5.0.1, rq 1.15.1) HOT 17
- Make registry cleaning lock expiry configurable HOT 2
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