Optimize Background Task Execution #1909
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Hello @Nayana-R-Gowda and thank you for the PR. Please move creation of the TaskScheduler class from the services/init.py file into utils/task_scheduler.py . Once the imports have been synchronized that may clear up the linting issues. Please also be sure to rebase against the upstream repository and sign your commits. You may wish to squash commits to date when you rebase. |
Signed-off-by: NAYANAR <nayana.r7813@gmail.com>
Signed-off-by: NAYANAR <nayana.r7813@gmail.com>
Signed-off-by: NAYANAR <nayana.r7813@gmail.com>
Signed-off-by: NAYANAR <nayana.r7813@gmail.com>
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…heduler.py Signed-off-by: NAYANAR <nayana.r7813@gmail.com>
Signed-off-by: NAYANAR <nayana.r7813@gmail.com>
Signed-off-by: NAYANAR <nayana.r7813@gmail.com>
Signed-off-by: NAYANAR <nayana.r7813@gmail.com>
Signed-off-by: NAYANAR <nayana.r7813@gmail.com>
Signed-off-by: NAYANAR <nayana.r7813@gmail.com>
Signed-off-by: NAYANAR <nayana.r7813@gmail.com>
Signed-off-by: NAYANAR <nayana.r7813@gmail.com>
Signed-off-by: NAYANAR <nayana.r7813@gmail.com>
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Signed-off-by: NAYANAR nayana.r7813@gmail.com
closes #1693
This change introduces a centralized, priority-based background task scheduler to coordinate all periodic tasks.
I validated the behavior using controlled asyncio tests that demonstrate:
elimination of overlapping background task execution
strict priority ordering (CRITICAL → HIGH → NORMAL → LOW)
enforced concurrency limits via a semaphore
predictable execution under load
Compared to the previous timer-based approach, this prevents DB connection spikes, reduces resource contention, and ensures critical system tasks are not delayed by housekeeping jobs.