🔧(summary) specify dedicated transcription queue for Celery worker

Name the Celery queue used by transcription worker to prepare for
dedicated summarization queue separation, enabling faster transcript
delivery while isolating new agentic logic in separate worker processes.

Makefile

@@ -118,7 +118,7 @@ run-backend: ## start only the backend application and all needed services
 .PHONY: run-backend
 
 run-summary: ## start only the summary application and all needed services
-	@$(COMPOSE) up --force-recreate -d celery-summary
+	@$(COMPOSE) up --force-recreate -d celery-summary-transcribe
 .PHONY: run-summary
 
 run:

compose.yml

@@ -243,13 +243,13 @@ services:
     depends_on:
         - redis-summary
 
-  celery-summary:
+  celery-summary-transcribe:
-    container_name: celery-summary
+    container_name: celery-summary-transcribe
     build:
       context: ./src/summary
       dockerfile: Dockerfile
       target: production
-    command: celery -A summary.core.celery_worker worker --pool=solo --loglevel=debug
+    command: celery -A summary.core.celery_worker worker --pool=solo --loglevel=debug -Q transcribe-queue
     env_file:
       - env.d/development/summary
     volumes:

src/summary/summary/api/route/tasks.py

@@ -10,6 +10,9 @@ from pydantic import BaseModel
 from summary.core.celery_worker import (
     process_audio_transcribe_summarize_v2,
 )
+from summary.core.config import get_settings
+
+settings = get_settings()
 
 
 class TaskCreation(BaseModel):
@@ -39,7 +42,8 @@ async def create_task(request: TaskCreation):
             request.room,
             request.recording_date,
             request.recording_time,
-        ]
+        ],
+        queue=settings.transcribe_queue,
     )
 
     return {"id": task.id, "message": "Task created"}

src/summary/summary/core/config.py

@@ -24,6 +24,8 @@ class Settings(BaseSettings):
     celery_result_backend: str = "redis://redis/0"
     celery_max_retries: int = 1
 
+    transcribe_queue: str = "transcribe-queue"
+
     # Minio settings
     aws_storage_bucket_name: str
     aws_s3_endpoint_url: str