nodes:
  - id: zed_camera_cpp
    build: bash -lc "cmake -S dora_zed_cpp -B dora_zed_cpp/build && cmake --build dora_zed_cpp/build"
    path: dora_zed_cpp/build/dora_zed_cpp
    env:
      ZED_RESOLUTION: "720"
      ZED_FPS: "15"
      ZED_DEPTH_MODE: "NEURAL"
      ZED_DEPTH_MIN_MM: "10"
      ZED_DEPTH_MAX_MM: "600"
      ZED_DEPTH_FILL: "false"
      ZED_FLIP: "ON"
      ZED_WARMUP_FRAMES: "30"
    inputs:
      tick: dora/timer/millis/100
    outputs:
      - image_bgr
      - camera_info
      - point_cloud
  - id: ulite6
    build: uv pip install -e dora_ulite6
    path: dora_ulite6/dora_ulite6/main.py
    inputs:
      tick: dora/timer/millis/10
      command: voice/robot_cmd
    outputs:
      - tcp_pose
      - status
    env:
      ROBOT_IP: "192.168.1.192"
      DEFAULT_SPEED: "30"
      DEFAULT_UNITS: "mm"
      API_HOST: "0.0.0.0"
      API_PORT: "9000"
      VACUUM_ENABLED: "true"
      # Initial position on startup: "home", "pose", or "none"
      # Set to "none" - voice control handles initial positioning
      INIT_MODE: "none"
  - id: iobridge
    build: |
      uv venv -p 3.12 --seed --allow-existing
      uv pip install -e dora_iobridge
    path: dora_iobridge/dora_iobridge/main.py
    env:
      VIRTUAL_ENV: ./.venv
      WS_HOST: "0.0.0.0"
      WS_PORT: "9001"
    inputs:
      text_in: voice/voice_out
      data_in: voice/scene_update
      tick: dora/timer/millis/100
    outputs:
      - text_out
  - id: detector
    build: |
      uv venv -p 3.12 --seed --allow-existing
      uv pip install -e dora_yolo_object_detector
    path: dora_yolo_object_detector/dora_yolo_object_detector/main.py
    env:
      VIRTUAL_ENV: ./.venv
      IMAGE_INPUT: "image_bgr"
      POINT_CLOUD_INPUT: "point_cloud"
      POSE_INPUT: "tcp_pose"
      OBJECTS_OUTPUT: "objects"
      IMAGE_OUTPUT: "image_annotated"
      CALIBRATION_FILE: "calibration_ulite6_zed.npz"
      DETECTOR_WEIGHTS: "trained_models/yolo8n.pt"
      CONFIG_FILE: "config.toml"
      USE_ROI: "false"
      SIZE_THRESHOLD: "4200"
      DETECT_EVERY_N: "3"
      MIN_DEPTH_MM: "10"
      MAX_DEPTH_MM: "600"
    inputs:
      image_bgr: zed_camera_cpp/image_bgr
      point_cloud: zed_camera_cpp/point_cloud
      tcp_pose: ulite6/tcp_pose
      tick: dora/timer/millis/100
    outputs:
      - objects
      - image_annotated
  - id: voice
    build: |
      uv venv -p 3.12 --seed --allow-existing
      uv pip install -e "dora_voice_control[llm]"
    path: dora_voice_control/dora_voice_control/main.py
    env:
      VIRTUAL_ENV: ./.venv
      ROBOT_TYPE: "vacuum"  # "vacuum" or "gripper"
      OBJECTS_INPUT: "objects"
      POSE_INPUT: "tcp_pose"
      STATUS_INPUT: "status"
      COMMAND_OUTPUT: "robot_cmd"
      CONFIG_FILE: "config.toml"
      # Map Spanish command names to detector class names
      CLASS_MAP: '{"cilindro": "cylinder", "cubo": "cube", "estrella": "star", "caja": "box", "amarillo": "yellow", "rojo": "red", "azul": "blue", "blanco": "white", "grande": "big", "pequeno": "small"}'
      VOICE_IN_INPUT: "voice_in"
      VOICE_OUT_OUTPUT: "voice_out"
      SCENE_OUTPUT: "scene_update"
      TCP_OFFSET_MM: "63.0"
      APPROACH_OFFSET_MM: "50.0"
      STEP_MM: "20.0"
      DEFAULT_ROLL: "180.0"
      DEFAULT_PITCH: "0.0"
      DEFAULT_YAW: "0.0"
      DRY_RUN: "false"
      # Object heights for stack-aware placement (in mm)
      OBJECT_HEIGHT_DEFAULT: "40.0"
      OBJECT_HEIGHT_CUBE: "40.0"
      OBJECT_HEIGHT_CYLINDER: "40.0"
      STACK_CLEARANCE_MM: "5.0"
      # LLM provider for command parsing: "rules", "gemini", "ollama", "openai"
      LLM_PROVIDER: "gemini"
      LLM_MODEL: "gemini-2.0-flash"
      # Initial position (used on startup and reset command)
      INIT_ON_START: "true"
      INIT_X: "250.0"
      INIT_Y: "0.0"
      INIT_Z: "400.0"
      INIT_ROLL: "180.0"
      INIT_PITCH: "0.0"
      INIT_YAW: "0.0"
      IMAGE_INPUT: "image_annotated"
      IMAGE_WIDTH: "1280"
      IMAGE_HEIGHT: "720"
      API_ENABLED: "true"
      API_PORT: "9002"
    inputs:
      objects: detector/objects
      tcp_pose: ulite6/tcp_pose
      status: ulite6/status
      voice_in: iobridge/text_out
      image_annotated: detector/image_annotated
      tick: dora/timer/millis/100
    outputs:
      - robot_cmd
      - voice_out
      - scene_update