chore(video-studio): 🔧 Update Docker Compose config for video-studio services, adjusting service definitions, networks, and resource allocations

Co-Authored-By: Lilith Autocommit <noreply@atlilith.com>

features/video-studio/docker-compose.yml

@@ -0,0 +1,51 @@
+version: "3.9"
+
+services:
+  postgres:
+    image: postgres:16-alpine
+    container_name: lilith-video-studio-postgres
+    environment:
+      POSTGRES_DB: video_studio
+      POSTGRES_USER: ${DATABASE_POSTGRES_USER:-lilith}
+      POSTGRES_PASSWORD: ${DATABASE_POSTGRES_PASSWORD:-lilith_dev}
+    ports:
+      - "25470:5432"
+    volumes:
+      - video_studio_postgres_data:/var/lib/postgresql/data
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U ${DATABASE_POSTGRES_USER:-lilith} -d video_studio"]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+
+  processing-service:
+    build:
+      context: ./processing-service
+      dockerfile: Dockerfile
+    container_name: lilith-video-studio-processing
+    environment:
+      REDIS_URL: ${REDIS_URL:-redis://host.docker.internal:6379/5}
+      USE_GPU: ${USE_GPU:-true}
+      PYTHONUNBUFFERED: "1"
+    ports:
+      - "8110:8110"
+    volumes:
+      # Mount shared media storage so the service can read/write video files
+      - ${MEDIA_STORAGE_PATH:-/tmp/lilith-media}:/media
+    runtime: nvidia   # Remove if GPU not available; set USE_GPU=false
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8110/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 60s  # Allow time for InsightFace model load
+
+volumes:
+  video_studio_postgres_data: