Files
reflector/server/reflector/hatchet/run_workers.py
2025-12-23 13:47:04 -05:00

78 lines
2.2 KiB
Python

"""
Run Hatchet workers for processing pipelines.
Runs as a separate process, just like Celery workers.
Usage:
uv run -m reflector.hatchet.run_workers
# Or via docker:
docker compose exec server uv run -m reflector.hatchet.run_workers
"""
import signal
import sys
from hatchet_sdk.rate_limit import RateLimitDuration
from reflector.hatchet.constants import LLM_RATE_LIMIT_KEY, LLM_RATE_LIMIT_PER_SECOND
from reflector.logger import logger
from reflector.settings import settings
def main() -> None:
"""Start Hatchet worker polling."""
if not settings.HATCHET_ENABLED:
logger.error("HATCHET_ENABLED is False, not starting workers")
sys.exit(1)
if not settings.HATCHET_CLIENT_TOKEN:
logger.error("HATCHET_CLIENT_TOKEN is not set")
sys.exit(1)
logger.info(
"Starting Hatchet workers",
debug=settings.HATCHET_DEBUG,
)
# Import here (not top-level) - workflow modules call HatchetClientManager.get_client()
# at module level because Hatchet SDK decorators (@workflow.task) bind at import time.
# Can't use lazy init: decorators need the client object when function is defined.
from reflector.hatchet.client import HatchetClientManager # noqa: PLC0415
from reflector.hatchet.workflows import ( # noqa: PLC0415
daily_multitrack_pipeline,
subject_workflow,
topic_chunk_workflow,
track_workflow,
)
hatchet = HatchetClientManager.get_client()
hatchet.rate_limits.put(
LLM_RATE_LIMIT_KEY, LLM_RATE_LIMIT_PER_SECOND, RateLimitDuration.SECOND
)
worker = hatchet.worker(
"reflector-pipeline-worker",
workflows=[
daily_multitrack_pipeline,
subject_workflow,
topic_chunk_workflow,
track_workflow,
],
)
def shutdown_handler(signum: int, frame) -> None:
logger.info("Received shutdown signal, stopping workers...")
# Worker cleanup happens automatically on exit
sys.exit(0)
signal.signal(signal.SIGINT, shutdown_handler)
signal.signal(signal.SIGTERM, shutdown_handler)
logger.info("Starting Hatchet worker polling...")
worker.start()
if __name__ == "__main__":
main()