Files
reflector/server/reflector/hatchet/run_workers_cpu.py
Igor Monadical c723752b7e feat: set hatchet as default for multitracks (#822)
* set hatchet as default for multitracks

* fix: pipeline routing tests for hatchet-default branch

- Create room with use_celery=True to force Celery backend in tests
- Link transcript to room to enable multitrack pipeline routing
- Fixes test failures caused by missing HATCHET_CLIENT_TOKEN in test env

* Update server/reflector/services/transcript_process.py

Co-authored-by: pr-agent-monadical[bot] <198624643+pr-agent-monadical[bot]@users.noreply.github.com>

---------

Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>
Co-authored-by: pr-agent-monadical[bot] <198624643+pr-agent-monadical[bot]@users.noreply.github.com>
2026-01-21 17:05:03 -05:00

44 lines
1.0 KiB
Python

"""
CPU-heavy worker pool for audio processing tasks.
Handles ONLY: mixdown_tracks
Configuration:
- slots=1: Only mixdown (already serialized globally with max_runs=1)
- Worker affinity: pool=cpu-heavy
"""
from reflector.hatchet.client import HatchetClientManager
from reflector.hatchet.workflows.daily_multitrack_pipeline import (
daily_multitrack_pipeline,
)
from reflector.logger import logger
def main():
hatchet = HatchetClientManager.get_client()
logger.info(
"Starting Hatchet CPU worker pool (mixdown only)",
worker_name="cpu-worker-pool",
slots=1,
labels={"pool": "cpu-heavy"},
)
cpu_worker = hatchet.worker(
"cpu-worker-pool",
slots=1, # Only 1 mixdown at a time (already serialized globally)
labels={
"pool": "cpu-heavy",
},
workflows=[daily_multitrack_pipeline],
)
try:
cpu_worker.start()
except KeyboardInterrupt:
logger.info("Received shutdown signal, stopping CPU workers...")
if __name__ == "__main__":
main()