удален mlflow из docker compose

Dockerfile

@@ -23,9 +23,8 @@ RUN --mount=type=cache,target=/root/.cache/uv \
 COPY src ./src
 RUN uv pip install --system --no-deps --no-build-isolation .
 
-# Expose Web UI port and MLflow port
+# Expose Web UI port
 EXPOSE 8000
-EXPOSE 5000
 
 # Start Web UI using the system entry point
 CMD ["yolo-train-webui", "--host", "0.0.0.0", "--port", "8000"]

docker-compose.yml

@@ -12,10 +12,8 @@ services:
       - ./models:/workspace/models
       - ./models/.config:/root/.config/Ultralytics
     environment:
-      # Use the Compose MLflow service so metadata and artifacts survive container recreation.
-      YOLO_WEBUI_MLFLOW_TRACKING_URI: http://mlflow:5000
-    depends_on:
-      - mlflow
+      # Optional: tracking URI for external MLflow server (e.g. http://host.docker.internal:5000 or http://your-mlflow-host:5000)
+      YOLO_WEBUI_MLFLOW_TRACKING_URI: http://host.docker.internal:5000
     # Uncomment the block below on Linux with NVIDIA GPU to pass the graphics card into the container:
     # deploy:
     #   resources:
@@ -26,28 +24,3 @@ services:
     #           capabilities: [gpu]
     ipc: host
     restart: unless-stopped
-
-  mlflow:
-    build:
-      context: .
-    image: yolo-train-webui:latest
-    command:
-      - mlflow
-      - server
-      - --backend-store-uri
-      - sqlite:////mlflow/mlflow.db
-      - --artifacts-destination
-      - /mlflow/artifacts
-      - --host
-      - 0.0.0.0
-      - --port
-      - "5000"
-      - --workers
-      - "1"
-      - --allowed-hosts
-      - localhost:5000,127.0.0.1:5000,mlflow:5000
-    ports:
-      - "127.0.0.1:5000:5000"
-    volumes:
-      - ./mlflow:/mlflow
-    restart: unless-stopped

tests/test_deployment.py

@@ -12,16 +12,12 @@ def test_compose_is_local_and_does_not_require_nvidia() -> None:
     compose = yaml.safe_load(
         (PROJECT_ROOT / "docker-compose.yml").read_text(encoding="utf-8")
     )
+    assert set(compose["services"].keys()) == {"webui"}
     webui = compose["services"]["webui"]
 
     assert webui["ports"] == ["127.0.0.1:8000:8000"]
     assert "deploy" not in webui
-
-    mlflow = compose["services"]["mlflow"]
-    assert mlflow["ports"] == ["127.0.0.1:5000:5000"]
-    assert mlflow["volumes"] == ["./mlflow:/mlflow"]
-    assert "server" in mlflow["command"]
-    assert webui["environment"]["YOLO_WEBUI_MLFLOW_TRACKING_URI"] == "http://mlflow:5000"
+    assert "YOLO_WEBUI_MLFLOW_TRACKING_URI" in webui["environment"]
 
 
 def test_docker_dependencies_are_exported_from_lock_file() -> None: