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>

server/reflector/hatchet/run_workers_cpu.py

@@ -12,14 +12,9 @@ from reflector.hatchet.workflows.daily_multitrack_pipeline import (
     daily_multitrack_pipeline,
 )
 from reflector.logger import logger
-from reflector.settings import settings
 
 
 def main():
-    if not settings.HATCHET_ENABLED:
-        logger.error("HATCHET_ENABLED is False, not starting CPU workers")
-        return
-
     hatchet = HatchetClientManager.get_client()
 
     logger.info(

server/reflector/hatchet/run_workers_llm.py

@@ -11,7 +11,6 @@ from reflector.hatchet.workflows.subject_processing import subject_workflow
 from reflector.hatchet.workflows.topic_chunk_processing import topic_chunk_workflow
 from reflector.hatchet.workflows.track_processing import track_workflow
 from reflector.logger import logger
-from reflector.settings import settings
 
 SLOTS = 10
 WORKER_NAME = "llm-worker-pool"
@@ -19,10 +18,6 @@ POOL = "llm-io"
 
 
 def main():
-    if not settings.HATCHET_ENABLED:
-        logger.error("HATCHET_ENABLED is False, not starting LLM workers")
-        return
-
     hatchet = HatchetClientManager.get_client()
 
     logger.info(