removeJob() for type 'schedule' computed the BullMQ repeatable key
using only the cron pattern, without the timezone. scheduleJob()
always registers the repeatable job with tz set (job.timezone || UTC),
so BullMQ's repeat key (name:jobId:endDate:tz:pattern) never matched
on removal — removeRepeatable silently no-op'd and the job kept
firing forever, surviving disable, delete, and reboots.
Forward timezone through removeJob (queue.ts), the /update-backup
lookup (index.ts), and the disable/delete call sites in the
schedule router.
- Simplified code formatting for better readability in various components.
- Updated job scheduling functions to handle errors gracefully, ensuring that failures in scheduling do not disrupt the overall process.
- Enhanced logging for better traceability of job scheduling issues.
These changes improve code maintainability and user experience by providing clearer error messages and more organized code structure.
- Updated the job removal logic to default cronSchedule to an empty string if job.pattern is undefined, preventing potential errors during job removal.
- Introduced a new `commonTimezones` array for timezone selection in the UI.
- Updated the schedule form to include an optional timezone field.
- Modified the database schema to add a `timezone` column to the `schedule` table.
- Enhanced the scheduling logic to utilize the specified timezone, defaulting to UTC if not provided.
- Added support for volume backup jobs in the scheduling and removal processes.
- Enhanced job management to include volume backups in the job queue.
- Updated schema to accommodate volume backup data structure.
- Implemented initialization of volume backup jobs based on server status, improving backup management.
- Updated the scheduleRouter to manage job scheduling and removal based on the enabled status of schedules, improving job lifecycle management.
- Refactored the scheduleJob and removeJob utilities to support scheduling and removing jobs for both server and schedule types.
- Introduced a new schema for jobQueue to accommodate schedule jobs, enhancing the flexibility of job definitions.
- Improved the runJobs function to execute scheduled jobs based on their enabled status, ensuring proper execution of active schedules.
- Enhanced the initialization process for schedules to automatically schedule active jobs from the database, streamlining the setup process.